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RJR: Recommended Bibliography 17 Jun 2026 at 01:31 Created:
Metagenomics
While genomics is the study of DNA extracted from individuals — individual cells, tissues, or organisms — metagenomics is a more recent refinement that analyzes samples of pooled DNA taken from the environment, not from an individual. Like genomics, metagenomic methods have great potential in many areas of biology, but none so much as in providing access to the hitherto invisible world of unculturable microbes, often estimated to comprise 90% or more of bacterial species and, in some ecosystems, the bulk of the biomass. A recent describes how this new science of metagenomics is beginning to reveal the secrets of our microbial world: The opportunity that stands before microbiologists today is akin to a reinvention of the microscope in the expanse of research questions it opens to investigation. Metagenomics provides a new way of examining the microbial world that not only will transform modern microbiology but has the potential to revolutionize understanding of the entire living world. In metagenomics, the power of genomic analysis is applied to entire communities of microbes, bypassing the need to isolate and culture individual bacterial community members.
Created with PubMed® Query: ( metagenomic OR metagenomics OR metagenome ) NOT pmcbook NOT ispreviousversion
Citations The Papers (from PubMed®)
RevDate: 2026-06-15
Diagnostic utility of 16S rRNA meta genomic next-generation sequencing in clinical Infectious Diseases practice: a retrospective study from South India.
Indian journal of medical microbiology pii:S0255-0857(26)00124-6 [Epub ahead of print].
OBJECTIVES: 16S rRNA sequencing is an emerging diagnostic tool for bacterial syndromes caused by fastidious pathogens and in culture negative infections. However, it can pose significant challenges from pre-analytic to post-analytic phase due to sampling issues, lack of an approved platform and test characteristics. We aimed to evaluate the diagnostic performance of 16S rRNA sequencing in sterile site samples compared to conventional microbiological techniques [CMT] and a composite reference standard [CRS] METHODS: We conducted a retrospective study at a tertiary hospital from January 2022 to July 2024. We included clinical data of patients with sterile site samples processed for both CMT and 16S rRNA sequencing. Sequencing used the Credence Genomics pipeline.
RESULTS: 166 samples met the inclusion criteria: 97 tissue, 35 pus, and 34 fluid samples. Pathogen detection rate was 42.8% [71/166] by CMT and 58.4% [97/166] by 16S rRNA. Concordance between methods was 50.6%. Sensitivity and specificity of 16S rRNA against CMT was 60.6% and 43.2%; and 69.4% and 66.7% against CRS respectively. CMT showed 54% sensitivity and 92.9% specificity against CRS. Combined testing improved sensitivity to 84.7% and accuracy was 78.9%.
CONCLUSION: 16S rRNA sequencing provides incremental diagnostic sensitivity over conventional microbiological techniques but at the cost of reduced specificity. Its routine frontline use as a standalone diagnostic tool is not supported by our findings. Instead, it may be best reserved for selected culture-negative cases with high clinical suspicion, where results can be interpreted in conjunction with clinical, radiological, and microbiological data by experienced clinicians.
Additional Links: PMID-42297107
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PubMed:
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@article {pmid42297107,
year = {2026},
author = {Cr, P and Krishna, V and Sethuraman, N and Nambi P, S and Ramasubramanian, V and Balaguru, P and Gopalakrishnan, R},
title = {Diagnostic utility of 16S rRNA meta genomic next-generation sequencing in clinical Infectious Diseases practice: a retrospective study from South India.},
journal = {Indian journal of medical microbiology},
volume = {},
number = {},
pages = {101166},
doi = {10.1016/j.ijmmb.2026.101166},
pmid = {42297107},
issn = {1998-3646},
abstract = {OBJECTIVES: 16S rRNA sequencing is an emerging diagnostic tool for bacterial syndromes caused by fastidious pathogens and in culture negative infections. However, it can pose significant challenges from pre-analytic to post-analytic phase due to sampling issues, lack of an approved platform and test characteristics. We aimed to evaluate the diagnostic performance of 16S rRNA sequencing in sterile site samples compared to conventional microbiological techniques [CMT] and a composite reference standard [CRS] METHODS: We conducted a retrospective study at a tertiary hospital from January 2022 to July 2024. We included clinical data of patients with sterile site samples processed for both CMT and 16S rRNA sequencing. Sequencing used the Credence Genomics pipeline.
RESULTS: 166 samples met the inclusion criteria: 97 tissue, 35 pus, and 34 fluid samples. Pathogen detection rate was 42.8% [71/166] by CMT and 58.4% [97/166] by 16S rRNA. Concordance between methods was 50.6%. Sensitivity and specificity of 16S rRNA against CMT was 60.6% and 43.2%; and 69.4% and 66.7% against CRS respectively. CMT showed 54% sensitivity and 92.9% specificity against CRS. Combined testing improved sensitivity to 84.7% and accuracy was 78.9%.
CONCLUSION: 16S rRNA sequencing provides incremental diagnostic sensitivity over conventional microbiological techniques but at the cost of reduced specificity. Its routine frontline use as a standalone diagnostic tool is not supported by our findings. Instead, it may be best reserved for selected culture-negative cases with high clinical suspicion, where results can be interpreted in conjunction with clinical, radiological, and microbiological data by experienced clinicians.},
}
RevDate: 2026-06-15
Metagenomics-guided targeted isolation and mechanistic elucidation of haloalkaliphilic bisphenol A-degrading microorganisms.
Bioresource technology pii:S0960-8524(26)01254-X [Epub ahead of print].
Bisphenol A (BPA), a typical endocrine-disrupting compound, poses significant environmental risks. Efficient bioremediation in high-salinity and alkaline environments, such as saline-alkaline industrial wastewater and landfill leachate, remains challenging due to the lack of microorganisms capable of maintaining activity under extreme conditions. Here, this study developed a strategy integrating metagenomic functional prediction with targeted enrichment and isolation. Soil microcosm experiments combined with metagenomic analyses identified soda saline-alkaline soils with high BPA degradation potential, and predicted microbial degradation predominantly via hydroxylation, with archaeal involvement also suggested. Guided by these predictions, 14 saline-alkaline-tolerant BPA-degrading bacterial strains (13 genera) and 20 haloalkaliphilic archaeal strains (16 genera) were successfully isolated. The proportion of BPA-degrading archaea (95.24%) was higher than bacteria (58.33%), challenging the view that this function is restricted to bacteria and fungi. Genomic analyses revealed bacterium Pseudomonas reidholzensis SAS-B12 and archaeon Natronomonas gomsonensis SR-A11 degrade BPA via hydroxylation, with differing downstream ring-cleavage pathways. SR-A11 also exhibited high laccase activity, suggesting multi-enzyme synergistic degradation. Response surface methodology optimization showed SAS-B12 achieved ∼50% BPA degradation under simulated saline-alkaline wastewater (pH 8.3, salinity 2.3%), and SR-A11 achieved similar efficiency under extreme conditions (pH 9.8, salinity 23.6%). This study expands the phylogenetic diversity of BPA-degrading microorganisms and provides microbial resources, enzymatic insights, and methodological support for targeted bioremediation in saline-alkaline wastewater.
Additional Links: PMID-42297247
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PubMed:
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@article {pmid42297247,
year = {2026},
author = {Yang, S and Xing, KY and Tao, YF and Wang, JY and Liu, KH and Zhang, M and Xu, XR and Zhu, L and Wei, W},
title = {Metagenomics-guided targeted isolation and mechanistic elucidation of haloalkaliphilic bisphenol A-degrading microorganisms.},
journal = {Bioresource technology},
volume = {},
number = {},
pages = {135172},
doi = {10.1016/j.biortech.2026.135172},
pmid = {42297247},
issn = {1873-2976},
abstract = {Bisphenol A (BPA), a typical endocrine-disrupting compound, poses significant environmental risks. Efficient bioremediation in high-salinity and alkaline environments, such as saline-alkaline industrial wastewater and landfill leachate, remains challenging due to the lack of microorganisms capable of maintaining activity under extreme conditions. Here, this study developed a strategy integrating metagenomic functional prediction with targeted enrichment and isolation. Soil microcosm experiments combined with metagenomic analyses identified soda saline-alkaline soils with high BPA degradation potential, and predicted microbial degradation predominantly via hydroxylation, with archaeal involvement also suggested. Guided by these predictions, 14 saline-alkaline-tolerant BPA-degrading bacterial strains (13 genera) and 20 haloalkaliphilic archaeal strains (16 genera) were successfully isolated. The proportion of BPA-degrading archaea (95.24%) was higher than bacteria (58.33%), challenging the view that this function is restricted to bacteria and fungi. Genomic analyses revealed bacterium Pseudomonas reidholzensis SAS-B12 and archaeon Natronomonas gomsonensis SR-A11 degrade BPA via hydroxylation, with differing downstream ring-cleavage pathways. SR-A11 also exhibited high laccase activity, suggesting multi-enzyme synergistic degradation. Response surface methodology optimization showed SAS-B12 achieved ∼50% BPA degradation under simulated saline-alkaline wastewater (pH 8.3, salinity 2.3%), and SR-A11 achieved similar efficiency under extreme conditions (pH 9.8, salinity 23.6%). This study expands the phylogenetic diversity of BPA-degrading microorganisms and provides microbial resources, enzymatic insights, and methodological support for targeted bioremediation in saline-alkaline wastewater.},
}
RevDate: 2026-06-15
Electrically enhanced, Nature-Driven microbial attenuation of chromate and dichloromethane in groundwater.
Bioresource technology pii:S0960-8524(26)01257-5 [Epub ahead of print].
Natural attenuation is a nature-based approach that relies on intrinsic biogeochemical and microbial processes to mitigate mixed heavy metals and organic pollutants in aquifer, yet its efficiency is limited by electron donor scarcity and suppressed microbial activity. Here, a low-energy bioelectrochemical strategy that uses a mild electric field (0.6 V) was introduced to sustainably stimulate the attenuation of chromate [Cr(VI)] and dichloromethane (DCM) co-contamination in groundwater. With minimal electrical input, Cr(VI) and DCM removal reached 95.0 ± 2.6% and 95.2 ± 0.5%, substantially outperforming the no-voltage and single-pollutant systems. The electric field alleviated electron-donor limitations and metabolic inhibition, enabling efficient and energy-conserving bioremediation. Mineralogical and spectroscopic analyses (SEM-EDS, XPS, XRD) confirmed the reduction of Cr(VI) to Cr(III) precipitates (e.g., Cr2O3) and the progressive dechlorination and mineralization of DCM. Integrated metagenomic and metatranscriptomic profiling revealed active functional guilds (e.g., Sphingopyxis, Pseudomonas, Hyphomicrobium) expressing key genes for chromate reduction (yieF, chrA), dehalogenation (dhlA, dcmA), and electron-shuttling metabolism (ribE). This work demonstrates an applicable remediation technology that can be powered by renewable electricity and integrated into secure groundwater management systems. It offers a pathway for environmentally safe pollutant mitigation by harnessing nature-based microbial processes, supporting the transition toward enhanced natural attenuation.
Additional Links: PMID-42297252
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PubMed:
Citation:
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@article {pmid42297252,
year = {2026},
author = {Li, Q and Zhang, Q and Huang, D and Chen, S and Zhang, B},
title = {Electrically enhanced, Nature-Driven microbial attenuation of chromate and dichloromethane in groundwater.},
journal = {Bioresource technology},
volume = {},
number = {},
pages = {135175},
doi = {10.1016/j.biortech.2026.135175},
pmid = {42297252},
issn = {1873-2976},
abstract = {Natural attenuation is a nature-based approach that relies on intrinsic biogeochemical and microbial processes to mitigate mixed heavy metals and organic pollutants in aquifer, yet its efficiency is limited by electron donor scarcity and suppressed microbial activity. Here, a low-energy bioelectrochemical strategy that uses a mild electric field (0.6 V) was introduced to sustainably stimulate the attenuation of chromate [Cr(VI)] and dichloromethane (DCM) co-contamination in groundwater. With minimal electrical input, Cr(VI) and DCM removal reached 95.0 ± 2.6% and 95.2 ± 0.5%, substantially outperforming the no-voltage and single-pollutant systems. The electric field alleviated electron-donor limitations and metabolic inhibition, enabling efficient and energy-conserving bioremediation. Mineralogical and spectroscopic analyses (SEM-EDS, XPS, XRD) confirmed the reduction of Cr(VI) to Cr(III) precipitates (e.g., Cr2O3) and the progressive dechlorination and mineralization of DCM. Integrated metagenomic and metatranscriptomic profiling revealed active functional guilds (e.g., Sphingopyxis, Pseudomonas, Hyphomicrobium) expressing key genes for chromate reduction (yieF, chrA), dehalogenation (dhlA, dcmA), and electron-shuttling metabolism (ribE). This work demonstrates an applicable remediation technology that can be powered by renewable electricity and integrated into secure groundwater management systems. It offers a pathway for environmentally safe pollutant mitigation by harnessing nature-based microbial processes, supporting the transition toward enhanced natural attenuation.},
}
RevDate: 2026-06-15
Cometabolic degradation of ofloxacin by aerobic methane oxidation coupled with denitrification: Identification of degraders, helper bacteria, and metabolic networks.
Bioresource technology pii:S0960-8524(26)01250-2 [Epub ahead of print].
The aerobic methane oxidation coupled with denitrification (AME-D) system enables simultaneous nitrogen removal and antibiotics cometabolic degradation, yet the underlying microbial ecological mechanisms remain poorly understood. This work took ofloxacin (OFL) as a typical antibiotic pollutant and established long-term stable sequencing-batch AME-D reactors to explore their nitrogen removal efficiency and OFL degradation sustainability under antibiotic stress. A multi-omics approach combining metagenomics, metaproteomics, and metabolomics was adopted to identify the core degraders and functional helper bacteria, and unravel the synergistic metabolic interactions sustaining the system's performance. Results indicate that the AME-D cometabolic system maintains high-efficiency nitrogen removal capacity and achieves effective OFL degradation under OFL stress. The piperazine ring is the primary reactive site of OFL, undergoing ring cleavage to form intermediate products. Multi-omics results demonstrate that microbial community structure is significantly reshaped by OFL pressure. Aerobic methane-oxidizing bacteria (MOB) are identified as core degraders, which mediate OFL cometabolism via methane monooxygenase (pMMO/sMMO) and supply available electron donors. Denitrifiers and stress-tolerant auxiliary bacteria form synergistic networks by optimizing nitrogen metabolism, activating efflux pumps and regulating antioxidant defenses, which maintains system functional stability under high OFL stress. Fluorescence in situ hybridization (FISH) verification confirms that MOB, nitrifiers and denitrifiers form compact spatial interaction structures in sludge, which provide favorable conditions for interspecific substance exchange and electron transfer. This study clarifies the multi-scale functional maintenance mechanism of AME-D cometabolic system, offering theoretical support for the treatment of antibiotic-laden wastewater and ecological risk control of antibiotic resistance.
Additional Links: PMID-42297258
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PubMed:
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@article {pmid42297258,
year = {2026},
author = {Wei, S and Wang, L and Li, Y and Wang, B and Wang, T and Li, J},
title = {Cometabolic degradation of ofloxacin by aerobic methane oxidation coupled with denitrification: Identification of degraders, helper bacteria, and metabolic networks.},
journal = {Bioresource technology},
volume = {},
number = {},
pages = {135168},
doi = {10.1016/j.biortech.2026.135168},
pmid = {42297258},
issn = {1873-2976},
abstract = {The aerobic methane oxidation coupled with denitrification (AME-D) system enables simultaneous nitrogen removal and antibiotics cometabolic degradation, yet the underlying microbial ecological mechanisms remain poorly understood. This work took ofloxacin (OFL) as a typical antibiotic pollutant and established long-term stable sequencing-batch AME-D reactors to explore their nitrogen removal efficiency and OFL degradation sustainability under antibiotic stress. A multi-omics approach combining metagenomics, metaproteomics, and metabolomics was adopted to identify the core degraders and functional helper bacteria, and unravel the synergistic metabolic interactions sustaining the system's performance. Results indicate that the AME-D cometabolic system maintains high-efficiency nitrogen removal capacity and achieves effective OFL degradation under OFL stress. The piperazine ring is the primary reactive site of OFL, undergoing ring cleavage to form intermediate products. Multi-omics results demonstrate that microbial community structure is significantly reshaped by OFL pressure. Aerobic methane-oxidizing bacteria (MOB) are identified as core degraders, which mediate OFL cometabolism via methane monooxygenase (pMMO/sMMO) and supply available electron donors. Denitrifiers and stress-tolerant auxiliary bacteria form synergistic networks by optimizing nitrogen metabolism, activating efflux pumps and regulating antioxidant defenses, which maintains system functional stability under high OFL stress. Fluorescence in situ hybridization (FISH) verification confirms that MOB, nitrifiers and denitrifiers form compact spatial interaction structures in sludge, which provide favorable conditions for interspecific substance exchange and electron transfer. This study clarifies the multi-scale functional maintenance mechanism of AME-D cometabolic system, offering theoretical support for the treatment of antibiotic-laden wastewater and ecological risk control of antibiotic resistance.},
}
RevDate: 2026-06-15
Use of metagenomics for the detection of pathogens in the environment: A scoping review.
Environmental research pii:S0013-9351(26)01381-2 [Epub ahead of print].
Pathogens in the environment may pose a threat to our ecosystem and public health by causing infectious disease outbreaks. Early detection and identification are crucial for effective surveillance, outbreak prevention, and source attribution. However, analyzing environmental samples (e.g., air, soil, water, biowaste) is challenging due to their complex composition. Testing for each pathogen, known and undiscovered ones, is not possible yet. Metagenomic shotgun sequencing offers a promising approach for pathogen-agnostic DNA detection in these matrices. This review provides guidance and recommendations for experimental design, DNA extraction, library preparation, sequencing, and bioinformatics, and underscores the need for standardized protocols and inter-laboratory studies. This scoping review addresses metagenomic methodologies for pathogen detection in environmental matrices by highlighting current practices, challenges and limitations, and provides guidance for researchers and practitioners. Following the PRISMA guidelines, we identified 81 relevant studies from 6,034 initial records. Most studies utilized Illumina short-read sequencing, with fewer using long-read platforms like Oxford Nanopore Technologies or Pacific Biosciences. DNA extraction protocols varied, with a trade-off between DNA yield and preserving community structure. Few studies reported inter-laboratory comparisons or standardized workflows. Selection of bioinformatics tools and reference databases significantly influenced taxonomic classification, yet reporting of analytical parameters was often incomplete. This review highlights the need for appropriate controls and increased transparency in reporting applied methods and settings. Methodological diversity and unreported gaps hinder reproducibility and comparability, while a systematic approach in environmental metagenomics holds great promise for pathogen and ecosystem monitoring.
Additional Links: PMID-42297276
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PubMed:
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@article {pmid42297276,
year = {2026},
author = {Maas, MAM and Rutjes, SA and Bossers, A and Stege, PB and van der Plaats, RQJ and Kuiper, I and van der Ark, KCH and Husman, AMR},
title = {Use of metagenomics for the detection of pathogens in the environment: A scoping review.},
journal = {Environmental research},
volume = {},
number = {},
pages = {125050},
doi = {10.1016/j.envres.2026.125050},
pmid = {42297276},
issn = {1096-0953},
abstract = {Pathogens in the environment may pose a threat to our ecosystem and public health by causing infectious disease outbreaks. Early detection and identification are crucial for effective surveillance, outbreak prevention, and source attribution. However, analyzing environmental samples (e.g., air, soil, water, biowaste) is challenging due to their complex composition. Testing for each pathogen, known and undiscovered ones, is not possible yet. Metagenomic shotgun sequencing offers a promising approach for pathogen-agnostic DNA detection in these matrices. This review provides guidance and recommendations for experimental design, DNA extraction, library preparation, sequencing, and bioinformatics, and underscores the need for standardized protocols and inter-laboratory studies. This scoping review addresses metagenomic methodologies for pathogen detection in environmental matrices by highlighting current practices, challenges and limitations, and provides guidance for researchers and practitioners. Following the PRISMA guidelines, we identified 81 relevant studies from 6,034 initial records. Most studies utilized Illumina short-read sequencing, with fewer using long-read platforms like Oxford Nanopore Technologies or Pacific Biosciences. DNA extraction protocols varied, with a trade-off between DNA yield and preserving community structure. Few studies reported inter-laboratory comparisons or standardized workflows. Selection of bioinformatics tools and reference databases significantly influenced taxonomic classification, yet reporting of analytical parameters was often incomplete. This review highlights the need for appropriate controls and increased transparency in reporting applied methods and settings. Methodological diversity and unreported gaps hinder reproducibility and comparability, while a systematic approach in environmental metagenomics holds great promise for pathogen and ecosystem monitoring.},
}
RevDate: 2026-06-15
Compound-specific effects of phthalate esters on nitrogen cycling and N2O emissions in paddy soils under contrasting moisture regimes.
Environmental pollution (Barking, Essex : 1987) pii:S0269-7491(26)00963-2 [Epub ahead of print].
Phthalates (PAEs) are commonly used as plasticizers and agrochemical additives, easily released and accumulated in soils. As emerging organic pollutants, how PAEs affect soil nitrogen (N) cycling remains unclear. Here, a 91-day microcosm experiment was conducted to investigate the response of functional microorganisms and nitrous oxide (N2O) emissions to dimethyl phthalate (DMP) and di(2-ethylhexyl) phthalate (DEHP) enrichment under different moisture regimes. Metagenomic analysis showed that PAE type, rather than concentration, predominantly shaped microbial community structure and N-cycling functional profiles. Under unflooded conditions, DEHP increased cumulative N2O emissions by 42%, accompanied by enhanced nitrification potential, higher abundances of amoA and hao, and enrichment of Nitrosospira. Conversely, DMP and co-exposure treatments reduced cumulative N2O emissions by 49.24-67.86%, together with suppressed autotrophic nitrification and increased denitrification module abundance. Under flooded conditions, DMP and co-exposure increased nosZ abundance and enriched Telmatospirillum, indicating a greater potential for N2O reduction. In addition, PAE exposure increased the complexity of microbial co-occurrence networks and strengthened associations between functional taxa and N-cycling genes. Structural equation modelling showed that PAE-induced shifts in soil pH, dissolved organic carbon, and inorganic N pools jointly regulated nitrification and denitrification pathways, thereby determining N2O emission patterns. These findings highlight the potential for plasticizer contamination to reshape nitrogen transformation and nitrogen loss pathways in paddy soils under contrasting moisture regimes.
Additional Links: PMID-42297323
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PubMed:
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@article {pmid42297323,
year = {2026},
author = {Li, Y and Hu, Y and Cheng, S and Fang, H and Guo, Y},
title = {Compound-specific effects of phthalate esters on nitrogen cycling and N2O emissions in paddy soils under contrasting moisture regimes.},
journal = {Environmental pollution (Barking, Essex : 1987)},
volume = {},
number = {},
pages = {128593},
doi = {10.1016/j.envpol.2026.128593},
pmid = {42297323},
issn = {1873-6424},
abstract = {Phthalates (PAEs) are commonly used as plasticizers and agrochemical additives, easily released and accumulated in soils. As emerging organic pollutants, how PAEs affect soil nitrogen (N) cycling remains unclear. Here, a 91-day microcosm experiment was conducted to investigate the response of functional microorganisms and nitrous oxide (N2O) emissions to dimethyl phthalate (DMP) and di(2-ethylhexyl) phthalate (DEHP) enrichment under different moisture regimes. Metagenomic analysis showed that PAE type, rather than concentration, predominantly shaped microbial community structure and N-cycling functional profiles. Under unflooded conditions, DEHP increased cumulative N2O emissions by 42%, accompanied by enhanced nitrification potential, higher abundances of amoA and hao, and enrichment of Nitrosospira. Conversely, DMP and co-exposure treatments reduced cumulative N2O emissions by 49.24-67.86%, together with suppressed autotrophic nitrification and increased denitrification module abundance. Under flooded conditions, DMP and co-exposure increased nosZ abundance and enriched Telmatospirillum, indicating a greater potential for N2O reduction. In addition, PAE exposure increased the complexity of microbial co-occurrence networks and strengthened associations between functional taxa and N-cycling genes. Structural equation modelling showed that PAE-induced shifts in soil pH, dissolved organic carbon, and inorganic N pools jointly regulated nitrification and denitrification pathways, thereby determining N2O emission patterns. These findings highlight the potential for plasticizer contamination to reshape nitrogen transformation and nitrogen loss pathways in paddy soils under contrasting moisture regimes.},
}
RevDate: 2026-06-16
Experimental evidence for the role of phages in mitigating antibiotic resistance genes in mangrove sediments.
Environmental pollution (Barking, Essex : 1987), 405:128589 pii:S0269-7491(26)00959-0 [Epub ahead of print].
The ecological role of bacteriophages (phages) in mitigating or proliferating antibiotic resistance genes (ARGs) in mangroves remains elusive due to the lack of direct experimental validation. Climate change-driven seawater encroachment introduces non-native phages into mangrove ecosystems, yet the potential impacts of this process on ARG spread have not been elucidated. Here, we established flooded microcosms inoculated with phage suspensions derived from native and non-native mangrove sediments, thus simulating phage input disturbance caused by climate change. Our results revealed distinct phage-host interaction patterns: non-native phages exerted short-term disturbances on bacterial communities, but neither phage source altered the bacterial or resistome structure. Nevertheless, phages specifically influenced the composition and dynamics of ARGs, with non-native phages showing stronger regulatory effects. Furthermore, 77 ± 2.1% of viral operational taxonomic units (vOTUs) were lytic, and 154 out of 185 phage-antibiotic-resistant bacteria (ARB) links were lytic, indicating that lytic phages played a dominant role in controlling ARB abundance and promoting ARG mitigation, whereas 0.68 ± 0.46% of host-infecting lysogenic phages carried ARGs, contributing little to ARG proliferation. Moreover, only 3.2 ± 0.56% vOTUs carried ARGs, resulting in negligible phage-mediated transduction for ARG dissemination. This study provides the first direct experimental evidence for the impacts of phages from different sources on the fate of ARGs in mangrove ecosystems, and offers novel insights into the ecological mechanisms underlying the spread of ARGs in the context of global climate change.
Additional Links: PMID-42297331
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PubMed:
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@article {pmid42297331,
year = {2026},
author = {Fan, S and Li, Y and Zhang, L and Xie, S},
title = {Experimental evidence for the role of phages in mitigating antibiotic resistance genes in mangrove sediments.},
journal = {Environmental pollution (Barking, Essex : 1987)},
volume = {405},
number = {},
pages = {128589},
doi = {10.1016/j.envpol.2026.128589},
pmid = {42297331},
issn = {1873-6424},
abstract = {The ecological role of bacteriophages (phages) in mitigating or proliferating antibiotic resistance genes (ARGs) in mangroves remains elusive due to the lack of direct experimental validation. Climate change-driven seawater encroachment introduces non-native phages into mangrove ecosystems, yet the potential impacts of this process on ARG spread have not been elucidated. Here, we established flooded microcosms inoculated with phage suspensions derived from native and non-native mangrove sediments, thus simulating phage input disturbance caused by climate change. Our results revealed distinct phage-host interaction patterns: non-native phages exerted short-term disturbances on bacterial communities, but neither phage source altered the bacterial or resistome structure. Nevertheless, phages specifically influenced the composition and dynamics of ARGs, with non-native phages showing stronger regulatory effects. Furthermore, 77 ± 2.1% of viral operational taxonomic units (vOTUs) were lytic, and 154 out of 185 phage-antibiotic-resistant bacteria (ARB) links were lytic, indicating that lytic phages played a dominant role in controlling ARB abundance and promoting ARG mitigation, whereas 0.68 ± 0.46% of host-infecting lysogenic phages carried ARGs, contributing little to ARG proliferation. Moreover, only 3.2 ± 0.56% vOTUs carried ARGs, resulting in negligible phage-mediated transduction for ARG dissemination. This study provides the first direct experimental evidence for the impacts of phages from different sources on the fate of ARGs in mangrove ecosystems, and offers novel insights into the ecological mechanisms underlying the spread of ARGs in the context of global climate change.},
}
RevDate: 2026-06-16
CmpDate: 2026-06-15
Continental-scale integration of soil metagenomes and organic matter chemistry reveals ubiquitous microbial capacity for chemically-recalcitrant carbon decomposition.
Nature communications, 17(1):.
Soil organic matter (SOM) decomposition by microorganisms is a major uncertainty in predicting terrestrial carbon-atmosphere feedbacks, partly because we lack understanding of the microbial diversity involved in depolymerizing different carbon pools across environmental gradients. We address this gap using a continental-scale dataset pairing shotgun metagenomes with high-resolution SOM chemistry, assembling 0.76 Tbp of prokaryotic MAGs (828 genomes) and identifying 66,727 SOM molecules from 47 standardized U.S. soil cores selected using respiration rates from 106 soils. Integrating these datasets reveals widespread microbial potential for depolymerizing chemically-recalcitrant SOM previously considered stable. We uncover complementary metabolic specialization between genera affiliated with two abundant bacterial orders, Rhizobiales and Chthoniobacterales, and an archaeal order, Nitrososphaerales. This metabolic partitioning is consistent across soil depths and activity levels, suggesting coordinated decomposition of complex SOM through distinct but complementary biochemical strategies. The metabolic potential for depolymerization of chemically-recalcitrant compounds is supported by the abundance of these molecules across the soils, as indicated by Fourier-Transform Ion Cyclotron Resonance Mass Spectrometry (FTICR-MS), and by flux balance analysis of metabolic models. Our results show that a substantial portion of ostensibly stable SOM remains vulnerable to microbial decomposition, a mechanism not captured in current Earth System Models.
Additional Links: PMID-42297767
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@article {pmid42297767,
year = {2026},
author = {Song, YC and Shi, C and Stratton, KG and Ayala-Ortiz, C and Stohel, I and Freire-Zapata, V and Tfaily, MM and Eloe-Fadrosh, E and Graham, EB},
title = {Continental-scale integration of soil metagenomes and organic matter chemistry reveals ubiquitous microbial capacity for chemically-recalcitrant carbon decomposition.},
journal = {Nature communications},
volume = {17},
number = {1},
pages = {},
pmid = {42297767},
issn = {2041-1723},
mesh = {*Soil Microbiology ; *Soil/chemistry ; *Carbon/metabolism/chemistry ; *Metagenome ; *Bacteria/metabolism/genetics/classification ; Archaea/metabolism/genetics/classification ; *Organic Chemicals/metabolism/chemistry ; },
abstract = {Soil organic matter (SOM) decomposition by microorganisms is a major uncertainty in predicting terrestrial carbon-atmosphere feedbacks, partly because we lack understanding of the microbial diversity involved in depolymerizing different carbon pools across environmental gradients. We address this gap using a continental-scale dataset pairing shotgun metagenomes with high-resolution SOM chemistry, assembling 0.76 Tbp of prokaryotic MAGs (828 genomes) and identifying 66,727 SOM molecules from 47 standardized U.S. soil cores selected using respiration rates from 106 soils. Integrating these datasets reveals widespread microbial potential for depolymerizing chemically-recalcitrant SOM previously considered stable. We uncover complementary metabolic specialization between genera affiliated with two abundant bacterial orders, Rhizobiales and Chthoniobacterales, and an archaeal order, Nitrososphaerales. This metabolic partitioning is consistent across soil depths and activity levels, suggesting coordinated decomposition of complex SOM through distinct but complementary biochemical strategies. The metabolic potential for depolymerization of chemically-recalcitrant compounds is supported by the abundance of these molecules across the soils, as indicated by Fourier-Transform Ion Cyclotron Resonance Mass Spectrometry (FTICR-MS), and by flux balance analysis of metabolic models. Our results show that a substantial portion of ostensibly stable SOM remains vulnerable to microbial decomposition, a mechanism not captured in current Earth System Models.},
}
MeSH Terms:
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*Soil Microbiology
*Soil/chemistry
*Carbon/metabolism/chemistry
*Metagenome
*Bacteria/metabolism/genetics/classification
Archaea/metabolism/genetics/classification
*Organic Chemicals/metabolism/chemistry
RevDate: 2026-06-15
CmpDate: 2026-06-16
Novel avian papillomaviruses identified in a south polar skua sampled on Ross Island, Antarctica.
Archives of virology, 171(7):.
Papillomaviruses are small circular DNA viruses that infect epithelial cells of their hosts. Avian papillomaviruses are poorly sampled/documented compared to those infecting humans. We used a viral metagenomic approach to identify viruses from the oral swab taken from a deceased south polar skua (Stercorarius maccormicki) found at Cape Royds, Ross Island, Antarctica in late 2024. We identified three papillomaviruses and determined their complete genomes, Stercorarius maccormicki papillomavirus (SmacPV) 1-3. SmacPV1 is the most divergent of the three SmacPVs, sharing 62% genome-wide pairwise identity to SmacPV2 and SmacPV3 and <63.5% to other avian papillomaviruses. The genomes of SmacPV2 and SmacPV3 represent two new papillomavirus types sharing 82.4% genome-wide pairwise identity with each other and <72% to other papillomaviruses. SmacPV2 and SmacPV3 phylogenetically cluster with sequences of the Rissa tridactyla papillomavirus 1 from black-legged kittiwake (Rissa tridactyla), Larus smithsonianus papillomavirus 1 from American herring gull (Larus smithsonianus) and Fratercula arctica papillomavirus 1 from Atlantic puffin (Fratercula arctica), and they collectively represent a new papillomavirus species. These are the first papillomaviruses to be identified in Stercorarius spp. and add to the handful of known papillomaviruses in identified avian species. We also expand the known host range of papillomaviruses in Antarctic animals, which previously included Adélie penguins (Pygoscelis adeliae), Weddell seals (Leptonychotes weddellii), Antarctic fur seals (Arctocephalus gazella), leopard seals (Hydrurga leptonyx) and emerald notothen (Trematomus bernacchii).
Additional Links: PMID-42298252
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@article {pmid42298252,
year = {2026},
author = {Biter, R and Regney, M and Schmidt, AE and Swanson, N and Elrod, M and Lescroël, A and Burnham, C and Jongsomjit, D and Winquist, S and Pennycook, J and Ainley, DG and Dugger, KM and Ballard, G and Kraberger, S and Varsani, A},
title = {Novel avian papillomaviruses identified in a south polar skua sampled on Ross Island, Antarctica.},
journal = {Archives of virology},
volume = {171},
number = {7},
pages = {},
pmid = {42298252},
issn = {1432-8798},
support = {1935870//National Science Foundation/ ; },
mesh = {Animals ; Antarctic Regions ; Phylogeny ; Genome, Viral ; *Papillomaviridae/genetics/isolation & purification/classification ; *Papillomavirus Infections/veterinary/virology ; *Charadriiformes/virology ; *Bird Diseases/virology ; DNA, Viral/genetics ; },
abstract = {Papillomaviruses are small circular DNA viruses that infect epithelial cells of their hosts. Avian papillomaviruses are poorly sampled/documented compared to those infecting humans. We used a viral metagenomic approach to identify viruses from the oral swab taken from a deceased south polar skua (Stercorarius maccormicki) found at Cape Royds, Ross Island, Antarctica in late 2024. We identified three papillomaviruses and determined their complete genomes, Stercorarius maccormicki papillomavirus (SmacPV) 1-3. SmacPV1 is the most divergent of the three SmacPVs, sharing 62% genome-wide pairwise identity to SmacPV2 and SmacPV3 and <63.5% to other avian papillomaviruses. The genomes of SmacPV2 and SmacPV3 represent two new papillomavirus types sharing 82.4% genome-wide pairwise identity with each other and <72% to other papillomaviruses. SmacPV2 and SmacPV3 phylogenetically cluster with sequences of the Rissa tridactyla papillomavirus 1 from black-legged kittiwake (Rissa tridactyla), Larus smithsonianus papillomavirus 1 from American herring gull (Larus smithsonianus) and Fratercula arctica papillomavirus 1 from Atlantic puffin (Fratercula arctica), and they collectively represent a new papillomavirus species. These are the first papillomaviruses to be identified in Stercorarius spp. and add to the handful of known papillomaviruses in identified avian species. We also expand the known host range of papillomaviruses in Antarctic animals, which previously included Adélie penguins (Pygoscelis adeliae), Weddell seals (Leptonychotes weddellii), Antarctic fur seals (Arctocephalus gazella), leopard seals (Hydrurga leptonyx) and emerald notothen (Trematomus bernacchii).},
}
MeSH Terms:
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Animals
Antarctic Regions
Phylogeny
Genome, Viral
*Papillomaviridae/genetics/isolation & purification/classification
*Papillomavirus Infections/veterinary/virology
*Charadriiformes/virology
*Bird Diseases/virology
DNA, Viral/genetics
RevDate: 2026-06-16
CmpDate: 2026-06-16
Gut microbial markers of immunotherapy response in melanoma: a cross-cohort analysis including the first Russian dataset.
Gut microbes, 18(1):2681788.
Melanoma is an aggressive malignancy with a significant risk of mortality. In recent years, treatment strategies have undergone a paradigm shift with the advent of immunotherapy, particularly immune checkpoint inhibitors (ICIs). Despite notable clinical success, a substantial proportion of patients fail to respond or eventually develop resistance to ICIs. Emerging evidence highlights the gut microbiota as a critical modulator of host immune responses and is one of the potential determinants of immunotherapy efficacy. We performed a cross-cohort analysis of gut microbiome profiles from melanoma patients treated with ICIs. The study integrated the first Russian cohort (62 patients) with six previously published international datasets, comprising a total of 490 patients across seven cohorts. In all cases, metagenomic sequencing was performed using various Illumina platforms, and raw sequencing data were processed using a unified bioinformatic pipeline. Analysis revealed 527 metagenome-assembled genomes (MAGs) significantly associated with treatment outcome: 239 with response and 288 with non-response. Notably, the species Faecalibacterium sp900539945, Phocaeicola vulgatus, Bifidobacterium adolescentis, Faecalibacterium taiwanense, and Gemmiger qucibialis were consistently associated with response, while Enterobacter ludwigii was linked to non-response. Analysis of the Russian cohort revealed both conserved and population-specific microbial signatures, highlighting the coexistence of globally shared and region-dependent microbiome features. Our results also show that species-level annotations may obscure opposing response associations within the same taxa, highlighting the need for MAGs or strain profiling. Together, this study demonstrates that cross-cohort analysis enables the identification of robust and reproducible bacterial markers of immunotherapy response, providing a foundation for microbiome-based prediction and modulation strategies in melanoma.
Additional Links: PMID-42298353
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@article {pmid42298353,
year = {2026},
author = {Strokach, A and Zakharevich, N and Aginova, V and Grigoryevskaya, Z and Petukhova, I and Bagirova, N and Romanov, M and Dyachkova, M and Morozov, M and Veselovsky, V and Kanaeva, V and Kalinin, D and Larin, A and Shitikov, E and Klimina, K},
title = {Gut microbial markers of immunotherapy response in melanoma: a cross-cohort analysis including the first Russian dataset.},
journal = {Gut microbes},
volume = {18},
number = {1},
pages = {2681788},
doi = {10.1080/19490976.2026.2681788},
pmid = {42298353},
issn = {1949-0984},
mesh = {Humans ; *Immunotherapy ; *Melanoma/therapy/microbiology/immunology/drug therapy ; *Gastrointestinal Microbiome ; Female ; Cohort Studies ; *Bacteria/classification/genetics/isolation & purification ; Male ; Russia ; Metagenomics ; Metagenome ; *Immune Checkpoint Inhibitors/therapeutic use ; Middle Aged ; Aged ; Treatment Outcome ; Adult ; },
abstract = {Melanoma is an aggressive malignancy with a significant risk of mortality. In recent years, treatment strategies have undergone a paradigm shift with the advent of immunotherapy, particularly immune checkpoint inhibitors (ICIs). Despite notable clinical success, a substantial proportion of patients fail to respond or eventually develop resistance to ICIs. Emerging evidence highlights the gut microbiota as a critical modulator of host immune responses and is one of the potential determinants of immunotherapy efficacy. We performed a cross-cohort analysis of gut microbiome profiles from melanoma patients treated with ICIs. The study integrated the first Russian cohort (62 patients) with six previously published international datasets, comprising a total of 490 patients across seven cohorts. In all cases, metagenomic sequencing was performed using various Illumina platforms, and raw sequencing data were processed using a unified bioinformatic pipeline. Analysis revealed 527 metagenome-assembled genomes (MAGs) significantly associated with treatment outcome: 239 with response and 288 with non-response. Notably, the species Faecalibacterium sp900539945, Phocaeicola vulgatus, Bifidobacterium adolescentis, Faecalibacterium taiwanense, and Gemmiger qucibialis were consistently associated with response, while Enterobacter ludwigii was linked to non-response. Analysis of the Russian cohort revealed both conserved and population-specific microbial signatures, highlighting the coexistence of globally shared and region-dependent microbiome features. Our results also show that species-level annotations may obscure opposing response associations within the same taxa, highlighting the need for MAGs or strain profiling. Together, this study demonstrates that cross-cohort analysis enables the identification of robust and reproducible bacterial markers of immunotherapy response, providing a foundation for microbiome-based prediction and modulation strategies in melanoma.},
}
MeSH Terms:
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Humans
*Immunotherapy
*Melanoma/therapy/microbiology/immunology/drug therapy
*Gastrointestinal Microbiome
Female
Cohort Studies
*Bacteria/classification/genetics/isolation & purification
Male
Russia
Metagenomics
Metagenome
*Immune Checkpoint Inhibitors/therapeutic use
Middle Aged
Aged
Treatment Outcome
Adult
RevDate: 2026-06-16
Decoding the functional landscape and resistome profile of the gut microbiome in the Pangwala tribal community of India.
BMC microbiology pii:10.1186/s12866-026-05248-5 [Epub ahead of print].
BACKGROUND: The human gut microbiome consists of a complex and diverse community of commensal microorganisms and has been under extensive research consideration in the past few decades. Although several recent studies have targeted the determination of bacterial composition of the ecosystem, the knowledge about the mycobiome, virome, and functional attributes of the same remains scarce. The aim of the present study was to investigate the functional and resistome profile of the gut microbiome in the Pangwala tribal community of India using a combined Whole Metagenome Shotgun (WMS) sequencing and bioinformatics approach.
RESULTS: The findings revealed a remarkable diversity of microorganisms inhabiting the gut of both groups, with similar level of diversity among the dominant genera like Prevotella, Bifidobacterium and Succinivibrionaceae. The mycobiome was dominated by the subkingdom Dikarya (74%), while Fungi incertae sedis accounted for 23% of the total fungal species in both groups. The virome analysis showed the dominance of the Caudoviricetes class, with bacteriophages being the most dominant. Moreover, functional analysis identified the prominent metabolic pathways and the key gene families involved in the pathways, highlighting Prevotella copri as the major contributor. Additionally, the study identified the resistome and showed that there were more than 100 potential antibiotic-resistant genes (ARGs) and high levels of resistance to vancomycin in both groups.
CONCLUSION: This study presents a comprehensive overview of the gut microbiome in the Pangi population, detailing both in its taxonomic structure and functional traits. The results show that, despite the high degree of diversity in the gut microbiome, there seems to be evident functional redundancy, which underlines a core stable microbiome. The resistome profile offers complete exploratory picture of the resistome and establishes a valuable baseline for future studies. Furthermore, we anticipate that these findings will add valuable insights to understand the Antimicrobial resistance (AMR) stewardship in the light of one health aspect.
Additional Links: PMID-42298382
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@article {pmid42298382,
year = {2026},
author = {Raj, K and Sharma, P and Riyaz, M and Shouche, YS and Multani, K and Sharma, M and Dhaliwal, M},
title = {Decoding the functional landscape and resistome profile of the gut microbiome in the Pangwala tribal community of India.},
journal = {BMC microbiology},
volume = {},
number = {},
pages = {},
doi = {10.1186/s12866-026-05248-5},
pmid = {42298382},
issn = {1471-2180},
support = {S(File No.R.12020/13/2018-HR)//Department of Health Research, Government of India/ ; S(File No.R.12020/13/2018-HR)//Department of Health Research, Government of India/ ; },
abstract = {BACKGROUND: The human gut microbiome consists of a complex and diverse community of commensal microorganisms and has been under extensive research consideration in the past few decades. Although several recent studies have targeted the determination of bacterial composition of the ecosystem, the knowledge about the mycobiome, virome, and functional attributes of the same remains scarce. The aim of the present study was to investigate the functional and resistome profile of the gut microbiome in the Pangwala tribal community of India using a combined Whole Metagenome Shotgun (WMS) sequencing and bioinformatics approach.
RESULTS: The findings revealed a remarkable diversity of microorganisms inhabiting the gut of both groups, with similar level of diversity among the dominant genera like Prevotella, Bifidobacterium and Succinivibrionaceae. The mycobiome was dominated by the subkingdom Dikarya (74%), while Fungi incertae sedis accounted for 23% of the total fungal species in both groups. The virome analysis showed the dominance of the Caudoviricetes class, with bacteriophages being the most dominant. Moreover, functional analysis identified the prominent metabolic pathways and the key gene families involved in the pathways, highlighting Prevotella copri as the major contributor. Additionally, the study identified the resistome and showed that there were more than 100 potential antibiotic-resistant genes (ARGs) and high levels of resistance to vancomycin in both groups.
CONCLUSION: This study presents a comprehensive overview of the gut microbiome in the Pangi population, detailing both in its taxonomic structure and functional traits. The results show that, despite the high degree of diversity in the gut microbiome, there seems to be evident functional redundancy, which underlines a core stable microbiome. The resistome profile offers complete exploratory picture of the resistome and establishes a valuable baseline for future studies. Furthermore, we anticipate that these findings will add valuable insights to understand the Antimicrobial resistance (AMR) stewardship in the light of one health aspect.},
}
RevDate: 2026-06-16
Dietary glycyrrhizic acid improves growth performance and modulates upper respiratory microbiota in weaned piglets.
BMC veterinary research pii:10.1186/s12917-026-05622-5 [Epub ahead of print].
BACKGROUND: Natural products with dual immunomodulatory and antimicrobial functions offer promising strategies to reduce antibiotic use in livestock. Glycyrrhizic acid (GA), the principal bioactive component of licorice, has demonstrated anti-inflammatory and antiviral properties, yet its translational potential in swine health remains underexplored. This study evaluated the efficacy of GA in weaned piglets under commercial nursery conditions as an antibiotic alternative. A total of 225 weaned piglets were assigned to five groups: negative control (CON, basal diet), farm routine (FA, conventional antibiotics), and three GA-supplemented groups (GLL, 0.65 g/kg; GLM, 1.3 g/kg; GLH, 2.6 g/kg).
RESULTS: The result showed that dietary GA supplementation (2.6 g/kg) numerically improved growth performance and reduced cough scores, although not statistically significant. GA significantly decreased the diarrhea index and improved skin scores. GA also significantly increased serum IgG and IgM levels in piglets and showed a trend toward higher IgA levels. Furthermore, GA exhibited a trend toward lowering serum IL‑1β levels while upregulating IFN‑γ and IL‑10 levels. Regarding antioxidant parameters, GA significantly upregulated T‑SOD, GSH‑PX, and CAT activities and downregulated LDH activity. Metagenomic analysis revealed that high‑dose glycyrrhizic acid (GA) significantly increased the abundance of Alloprevotella, while decreasing the abundances of Moraxella pluranimalium and 11 other pathogenic species associated with respiratory diseases and lung injury, including Glaesserella parasuis, Mesomycoplasma hyorhinis, Mesomycoplasma hyopneumoniae, Streptococcus suis, among others, thereby reshaping the upper respiratory tract microbiota of pigs.
CONCLUSIONS: Collectively, these findings support GA as a viable non-antibiotic strategy for improving immune function, antioxidant capacity, and respiratory health in weaned piglets.
Additional Links: PMID-42298622
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PubMed:
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@article {pmid42298622,
year = {2026},
author = {Wang, F and Sang, Y and Guo, J and Fu, Y and Yang, M and Shan, F and Chen, Y and Zhang, S and Li, X and Li, J and Zhang, L},
title = {Dietary glycyrrhizic acid improves growth performance and modulates upper respiratory microbiota in weaned piglets.},
journal = {BMC veterinary research},
volume = {},
number = {},
pages = {},
doi = {10.1186/s12917-026-05622-5},
pmid = {42298622},
issn = {1746-6148},
support = {231111111600//Henan Province Key Research and Development Plan Project/ ; 251111113300//Henan Province Key Research and Development Plan Project/ ; CARS-35//the National Pig Industry Technology System/ ; },
abstract = {BACKGROUND: Natural products with dual immunomodulatory and antimicrobial functions offer promising strategies to reduce antibiotic use in livestock. Glycyrrhizic acid (GA), the principal bioactive component of licorice, has demonstrated anti-inflammatory and antiviral properties, yet its translational potential in swine health remains underexplored. This study evaluated the efficacy of GA in weaned piglets under commercial nursery conditions as an antibiotic alternative. A total of 225 weaned piglets were assigned to five groups: negative control (CON, basal diet), farm routine (FA, conventional antibiotics), and three GA-supplemented groups (GLL, 0.65 g/kg; GLM, 1.3 g/kg; GLH, 2.6 g/kg).
RESULTS: The result showed that dietary GA supplementation (2.6 g/kg) numerically improved growth performance and reduced cough scores, although not statistically significant. GA significantly decreased the diarrhea index and improved skin scores. GA also significantly increased serum IgG and IgM levels in piglets and showed a trend toward higher IgA levels. Furthermore, GA exhibited a trend toward lowering serum IL‑1β levels while upregulating IFN‑γ and IL‑10 levels. Regarding antioxidant parameters, GA significantly upregulated T‑SOD, GSH‑PX, and CAT activities and downregulated LDH activity. Metagenomic analysis revealed that high‑dose glycyrrhizic acid (GA) significantly increased the abundance of Alloprevotella, while decreasing the abundances of Moraxella pluranimalium and 11 other pathogenic species associated with respiratory diseases and lung injury, including Glaesserella parasuis, Mesomycoplasma hyorhinis, Mesomycoplasma hyopneumoniae, Streptococcus suis, among others, thereby reshaping the upper respiratory tract microbiota of pigs.
CONCLUSIONS: Collectively, these findings support GA as a viable non-antibiotic strategy for improving immune function, antioxidant capacity, and respiratory health in weaned piglets.},
}
RevDate: 2026-06-16
Cross-kingdom microbial associations characterize responsiveness to fecal microbiota transplantation in patients with irritable bowel syndrome.
Journal of translational medicine pii:10.1186/s12967-026-08269-w [Epub ahead of print].
BACKGROUND: Precise outcome prediction for fecal microbiota transplantation (FMT) in irritable bowel syndrome (IBS) remains a clinical challenge. The roles of the gut virome and its interplay with bacteria in FMT efficacy are particularly underexplored. This secondary analysis aimed to conduct an exploratory, hypothesis-generating investigation into these cross-kingdom dynamics.
METHODS: We conducted a secondary, integrative analysis of a published cohort, performing longitudinal, cross-kingdom metagenomic profiling on 83 samples from 22 IBS patients and healthy donors. We integrative approach combined microbial diversity, species-specific biomarker identification, bacterial-viral associated networks, and exploratory random forest modeling to identify microbial features associated with FMT outcomes.
RESULTS: IBS patients showed higher bacterial and viral alpha diversity than donors. Cross-kingdom profiling identified 223 bacterial and 724 viral biomarkers. Donor-enriched biomarkers were predominantly health-associated Bacteroidetes (e.g., B. ovatus, B. faecis), whereas pre-FMT-enriched biomarkers were largely Firmicutes (e.g., B. obeum) with potential pathobiont roles. The Effect and No effect groups displayed different microbial trajectories. Although both groups shifted toward a donor-like composition initially, only responders maintained a stable donor-like ecology throughout the 12-month follow-up, supported by more resilient bacterial-viral association networks. Exploratory random forest modeling highlighted microbial features, such as R. pickettii, with high relative importance for outcome discrimination. However, permutation testing (p = 0.548-0.616) confirmed that model performance on this small cohort did not exceed chance level, underscoring the risk of overfitting and the exploratory nature of these computational findings.
CONCLUSIONS: This integrative re-analysis provides preliminary evidence that cross-kingdom gut microbiome profiles are strongly associated with FMT outcomes in IBS. Successful outcomes appear linked to sustained donor-like remodeling and stable bacterial-viral networks. Our findings are primarily hypothesis-generating and offer a framework of candidate biomarkers for future validation in larger cohorts. This work underscores the necessity of external validation to develop robust, microbiome-based tools for personalized FMT therapy.
Additional Links: PMID-42298631
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PubMed:
Citation:
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@article {pmid42298631,
year = {2026},
author = {Yan, Q and Li, M and Wang, G and Zhang, A and Li, Y and Guo, R and Zhang, Y and Yang, W and Zhang, Y and Liu, X and Li, X and Zheng, N and Wang, L and Fan, S and Ma, R and Lu, T and Zhou, S and Guan, T and Xing, G and Li, S and Wang, L and Li, Y},
title = {Cross-kingdom microbial associations characterize responsiveness to fecal microbiota transplantation in patients with irritable bowel syndrome.},
journal = {Journal of translational medicine},
volume = {},
number = {},
pages = {},
doi = {10.1186/s12967-026-08269-w},
pmid = {42298631},
issn = {1479-5876},
abstract = {BACKGROUND: Precise outcome prediction for fecal microbiota transplantation (FMT) in irritable bowel syndrome (IBS) remains a clinical challenge. The roles of the gut virome and its interplay with bacteria in FMT efficacy are particularly underexplored. This secondary analysis aimed to conduct an exploratory, hypothesis-generating investigation into these cross-kingdom dynamics.
METHODS: We conducted a secondary, integrative analysis of a published cohort, performing longitudinal, cross-kingdom metagenomic profiling on 83 samples from 22 IBS patients and healthy donors. We integrative approach combined microbial diversity, species-specific biomarker identification, bacterial-viral associated networks, and exploratory random forest modeling to identify microbial features associated with FMT outcomes.
RESULTS: IBS patients showed higher bacterial and viral alpha diversity than donors. Cross-kingdom profiling identified 223 bacterial and 724 viral biomarkers. Donor-enriched biomarkers were predominantly health-associated Bacteroidetes (e.g., B. ovatus, B. faecis), whereas pre-FMT-enriched biomarkers were largely Firmicutes (e.g., B. obeum) with potential pathobiont roles. The Effect and No effect groups displayed different microbial trajectories. Although both groups shifted toward a donor-like composition initially, only responders maintained a stable donor-like ecology throughout the 12-month follow-up, supported by more resilient bacterial-viral association networks. Exploratory random forest modeling highlighted microbial features, such as R. pickettii, with high relative importance for outcome discrimination. However, permutation testing (p = 0.548-0.616) confirmed that model performance on this small cohort did not exceed chance level, underscoring the risk of overfitting and the exploratory nature of these computational findings.
CONCLUSIONS: This integrative re-analysis provides preliminary evidence that cross-kingdom gut microbiome profiles are strongly associated with FMT outcomes in IBS. Successful outcomes appear linked to sustained donor-like remodeling and stable bacterial-viral networks. Our findings are primarily hypothesis-generating and offer a framework of candidate biomarkers for future validation in larger cohorts. This work underscores the necessity of external validation to develop robust, microbiome-based tools for personalized FMT therapy.},
}
RevDate: 2026-06-16
Multi-omics profiling and bile-acid exposure assays implicate a gut microbiome-parasite axis linked to persistent Entamoeba histolytica carriage.
Gut pathogens pii:10.1186/s13099-026-00845-1 [Epub ahead of print].
Asymptomatic Entamoeba histolytica (Eh) carriage is a major transmission reservoir, yet how the gut ecosystem-particularly microbiota-derived metabolites such as secondary bile acids-supports persistent colonization remains unclear. We investigated whether gut microbiome-metabolite features are associated with Eh carriage and could influence parasite phenotypes METHODS: We integrated shotgun metagenomics from a prospectively screened outpatient cohort (n=36) with functional in vitro assays. An ordinal stepwise model across detection states (Eh-, Eh_qPCR, Eh_Cyst) was used to identify candidate microbial features, followed by bile-acid exposure assays and transcriptomic profiling to evaluate impacts on parasite fitness and metronidazole susceptibility in vitro RESULTS: Microbiome profiling suggested taxon-specific shifts rather than wholesale dysbiosis. Community-level beta diversity showed no significant separation, whereas genus richness was higher in Eh_Cyst (unadjusted p=0.046). Multivariable modeling yielded concordant directional but non-significant trends (all q>0.9), highlighting Firmicutes genera including Coprococcus, Ruminococcus, and Catenibacterium as candidate taxa. We then evaluated deoxycholic acid (DCA), a microbiota-modified secondary bile acid. In vitro, 100 μM DCA extended Eh survival under nutrient-limited conditions and reduced metronidazole susceptibility after pretreatment. Transcriptomic profiling showed that DCA induced a distinct response, including an 8.34-fold induction of the ABC transporter P-glycoprotein-2 and upregulation of lipid remodeling and stress-response genes, supporting a bile acid-driven adaptive program consistent with intestinal persistence CONCLUSIONS: Our findings suggest that secondary bile acids, exemplified by DCA, can reprogram Eh gene expression and attenuate metronidazole susceptibility in vitro. In the context of cyst-associated microbiome signatures, this supports the plausibility of a microbiome-bile acid-parasite axis that may promote persistence in asymptomatic carriers and could influence treatment efficacy.
Additional Links: PMID-42298685
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@article {pmid42298685,
year = {2026},
author = {Yanagawa, Y and Yoshida, N and Makiuchi, T and Kawashima, A and Uemura, H and Aoki, T and Mizushima, D and Gatanaga, H and Watanabe, K},
title = {Multi-omics profiling and bile-acid exposure assays implicate a gut microbiome-parasite axis linked to persistent Entamoeba histolytica carriage.},
journal = {Gut pathogens},
volume = {},
number = {},
pages = {},
doi = {10.1186/s13099-026-00845-1},
pmid = {42298685},
issn = {1757-4749},
support = {IN-JP-380-5724//Gilead Sciences/ ; JP26K10011//Japan Society for the Promotion of Science/ ; JP23fk0108680h0001//Japan Agency for Medical Research and Development/ ; },
abstract = {Asymptomatic Entamoeba histolytica (Eh) carriage is a major transmission reservoir, yet how the gut ecosystem-particularly microbiota-derived metabolites such as secondary bile acids-supports persistent colonization remains unclear. We investigated whether gut microbiome-metabolite features are associated with Eh carriage and could influence parasite phenotypes METHODS: We integrated shotgun metagenomics from a prospectively screened outpatient cohort (n=36) with functional in vitro assays. An ordinal stepwise model across detection states (Eh-, Eh_qPCR, Eh_Cyst) was used to identify candidate microbial features, followed by bile-acid exposure assays and transcriptomic profiling to evaluate impacts on parasite fitness and metronidazole susceptibility in vitro RESULTS: Microbiome profiling suggested taxon-specific shifts rather than wholesale dysbiosis. Community-level beta diversity showed no significant separation, whereas genus richness was higher in Eh_Cyst (unadjusted p=0.046). Multivariable modeling yielded concordant directional but non-significant trends (all q>0.9), highlighting Firmicutes genera including Coprococcus, Ruminococcus, and Catenibacterium as candidate taxa. We then evaluated deoxycholic acid (DCA), a microbiota-modified secondary bile acid. In vitro, 100 μM DCA extended Eh survival under nutrient-limited conditions and reduced metronidazole susceptibility after pretreatment. Transcriptomic profiling showed that DCA induced a distinct response, including an 8.34-fold induction of the ABC transporter P-glycoprotein-2 and upregulation of lipid remodeling and stress-response genes, supporting a bile acid-driven adaptive program consistent with intestinal persistence CONCLUSIONS: Our findings suggest that secondary bile acids, exemplified by DCA, can reprogram Eh gene expression and attenuate metronidazole susceptibility in vitro. In the context of cyst-associated microbiome signatures, this supports the plausibility of a microbiome-bile acid-parasite axis that may promote persistence in asymptomatic carriers and could influence treatment efficacy.},
}
RevDate: 2026-06-16
The bovine ocular microbiome: a multi-approach study of composition and antimicrobial activity.
Animal microbiome pii:10.1186/s42523-026-00587-0 [Epub ahead of print].
BACKGROUND: Despite widespread use of antimicrobials and vaccines, the incidence of infectious bovine keratoconjunctivitis (IBK), or pinkeye, continues to increase in North American beef cow-calf operations. Recent research suggests that there is potential for the commensal ocular microbiome to help mitigate IBK. Therefore, this study characterized the ocular microbiome of cattle with and without IBK using culture-based methods and shotgun metagenomic sequencing and assessed the ability of commensal bacteria to inhibit Moraxella spp. in vitro. Ocular swabs (n = 143) were collected from IBK-affected (n = 102) and healthy cattle (n = 41) before antimicrobial treatment from North Dakota herds. Bacteria were cultured aerobically and anaerobically on five different media and the isolates were identified. A subset of swabs (37 IBK-affected; 12 healthy) underwent shotgun metagenomic sequencing. The genomes of 31 isolates, including Moraxella bovoculi, Moraxella bovis, and commensal bacteria, were also sequenced. Fifty-two commensal isolates were screened for inhibition of Moraxella spp. using an agar slab method, with five isolates further tested by qPCR for inhibition in the presence of the culturable ocular microbiome.
RESULTS: The 351 bacterial isolates taxonomically identified represented 61 genera from three phyla. The majority of isolates belonged to Bacillus (25.9%), Streptococcus (11.1%), Staphylococcus (10.1%), and Moraxella (9.4%) genera. Shotgun metagenomic analysis revealed significant differences in ocular microbial species composition between IBK-affected and healthy cattle (R² = 0.05; P = 0.015) based on Bray-Curtis dissimilarity. Dominant bacterial species included Cutibacterium acnes, Mannheimia pernigra, Mesomycoplasma bovoculi, Moraxella bovis, and Moraxella bovoculi. Eight bacterial species, including Bifidobacterium globosum and Bacillus licheniformis, were more abundant in healthy cattle, while Arthrobacter luteus was enriched in IBK cases. Thirty-seven high-quality metagenome-assembled genomes were also recovered, with 27% classified as Mesomycoplasma bovoculi. Moraxella spp. genomes exhibited strain-specific antimicrobial resistance and virulence gene diversity. Seventeen commensal isolates inhibited Moraxella, with Weizmannia coagulans, Lentilactobacillus buchneri, and Paenibacillus polymyxa showing strong activity. Selected isolates maintained inhibitory effects in co-culture with the ocular microbiome.
CONCLUSION: The ocular surface of beef cattle is inhabited by a diverse microbiome that includes several bacterial strains that have the potential to be used as therapeutics to inhibit IBK pathogens.
Additional Links: PMID-42298736
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@article {pmid42298736,
year = {2026},
author = {Amat, S and Holman, DB and Luecke, SM and Gzyl, KE and Anas, M and Stokka, G},
title = {The bovine ocular microbiome: a multi-approach study of composition and antimicrobial activity.},
journal = {Animal microbiome},
volume = {},
number = {},
pages = {},
doi = {10.1186/s42523-026-00587-0},
pmid = {42298736},
issn = {2524-4671},
support = {20-21-2022; 22-14-0231; 24-30-0265//North Dakota State Board of Agricultural Research and Education/ ; },
abstract = {BACKGROUND: Despite widespread use of antimicrobials and vaccines, the incidence of infectious bovine keratoconjunctivitis (IBK), or pinkeye, continues to increase in North American beef cow-calf operations. Recent research suggests that there is potential for the commensal ocular microbiome to help mitigate IBK. Therefore, this study characterized the ocular microbiome of cattle with and without IBK using culture-based methods and shotgun metagenomic sequencing and assessed the ability of commensal bacteria to inhibit Moraxella spp. in vitro. Ocular swabs (n = 143) were collected from IBK-affected (n = 102) and healthy cattle (n = 41) before antimicrobial treatment from North Dakota herds. Bacteria were cultured aerobically and anaerobically on five different media and the isolates were identified. A subset of swabs (37 IBK-affected; 12 healthy) underwent shotgun metagenomic sequencing. The genomes of 31 isolates, including Moraxella bovoculi, Moraxella bovis, and commensal bacteria, were also sequenced. Fifty-two commensal isolates were screened for inhibition of Moraxella spp. using an agar slab method, with five isolates further tested by qPCR for inhibition in the presence of the culturable ocular microbiome.
RESULTS: The 351 bacterial isolates taxonomically identified represented 61 genera from three phyla. The majority of isolates belonged to Bacillus (25.9%), Streptococcus (11.1%), Staphylococcus (10.1%), and Moraxella (9.4%) genera. Shotgun metagenomic analysis revealed significant differences in ocular microbial species composition between IBK-affected and healthy cattle (R² = 0.05; P = 0.015) based on Bray-Curtis dissimilarity. Dominant bacterial species included Cutibacterium acnes, Mannheimia pernigra, Mesomycoplasma bovoculi, Moraxella bovis, and Moraxella bovoculi. Eight bacterial species, including Bifidobacterium globosum and Bacillus licheniformis, were more abundant in healthy cattle, while Arthrobacter luteus was enriched in IBK cases. Thirty-seven high-quality metagenome-assembled genomes were also recovered, with 27% classified as Mesomycoplasma bovoculi. Moraxella spp. genomes exhibited strain-specific antimicrobial resistance and virulence gene diversity. Seventeen commensal isolates inhibited Moraxella, with Weizmannia coagulans, Lentilactobacillus buchneri, and Paenibacillus polymyxa showing strong activity. Selected isolates maintained inhibitory effects in co-culture with the ocular microbiome.
CONCLUSION: The ocular surface of beef cattle is inhabited by a diverse microbiome that includes several bacterial strains that have the potential to be used as therapeutics to inhibit IBK pathogens.},
}
RevDate: 2026-06-16
CmpDate: 2026-06-16
Monochromatic light reprograms transcription, metabolism, and rhizosphere microbial communities in Salvia miltiorrhiza.
Plant signaling & behavior, 21(1):2686334.
Salvia miltiorrhiza is a valuable medicinal plant with diverse pharmacological applications and high market demand. Light quality is a critical environmental factor regulating plant growth, secondary metabolism, and interactions with rhizosphere microorganisms. However, the effects of short-term, pure monochromatic light exposure on S. miltiorrhiza remain largely unexplored. In this study, we employed integrated transcriptomic, metabolomic, and rhizosphere metagenomic analyzes to investigate the responses of S. miltiorrhiza under different monochromatic light conditions: ultraviolet (UV), blue (B), red (R), and far-red (FR), with white light (WL) as the control. GO enrichment analysis indicated that all monochromatic light treatments activated defense responses, while specific pathways related to light stimulus, wounding, and reactive oxygen species were uniquely enriched under B, R, and FR light. Metabolomic analysis showed a general decrease in metabolite abundance under monochromatic light compared to WL, with the R treatment inducing the highest number of significantly upregulated metabolites. Integrated KEGG pathway analysis of differential transcripts and metabolites highlighted the enrichment of secondary metabolic pathways, including diterpenoid, monoterpenoid, and phenylpropanoid biosynthesis. Notably, quantitative HPLC analysis confirmed that UV, R, and FR light significantly promoted the accumulation of dihydrotanshinone I and tanshinone IIA, while decreasing salvianolic acid A content. Metagenomic analysis revealed that monochromatic light, especially B light, reduced rhizosphere microbial alpha diversity and altered the abundance of specific bacterial families and species. Functional gene annotation also showed treatment-specific shifts in microbial metabolic potential and virulence factors. In conclusion, short-term monochromatic light culture, particularly R and FR, effectively modulates the transcriptome and metabolome of S. miltiorrhiza, enhancing the accumulation of key bioactive tanshinones, while simultaneously reshaping its rhizosphere microbial community. These findings offer a potential light-based strategy for improving the quality of S. miltiorrhiza.
Additional Links: PMID-42298774
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PubMed:
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@article {pmid42298774,
year = {2026},
author = {Chen, X and Ding, S and Tang, H and Yang, Q and Yuan, L and Zhang, A and Li, Y and Wang, Q and Yan, X and Wang, Z and Wang, M and Zheng, Z},
title = {Monochromatic light reprograms transcription, metabolism, and rhizosphere microbial communities in Salvia miltiorrhiza.},
journal = {Plant signaling & behavior},
volume = {21},
number = {1},
pages = {2686334},
doi = {10.1080/15592324.2026.2686334},
pmid = {42298774},
issn = {1559-2324},
mesh = {*Salvia miltiorrhiza/metabolism/radiation effects/microbiology/genetics ; *Rhizosphere ; *Light ; *Microbiota/radiation effects ; Gene Expression Regulation, Plant/radiation effects ; *Transcription, Genetic/radiation effects ; },
abstract = {Salvia miltiorrhiza is a valuable medicinal plant with diverse pharmacological applications and high market demand. Light quality is a critical environmental factor regulating plant growth, secondary metabolism, and interactions with rhizosphere microorganisms. However, the effects of short-term, pure monochromatic light exposure on S. miltiorrhiza remain largely unexplored. In this study, we employed integrated transcriptomic, metabolomic, and rhizosphere metagenomic analyzes to investigate the responses of S. miltiorrhiza under different monochromatic light conditions: ultraviolet (UV), blue (B), red (R), and far-red (FR), with white light (WL) as the control. GO enrichment analysis indicated that all monochromatic light treatments activated defense responses, while specific pathways related to light stimulus, wounding, and reactive oxygen species were uniquely enriched under B, R, and FR light. Metabolomic analysis showed a general decrease in metabolite abundance under monochromatic light compared to WL, with the R treatment inducing the highest number of significantly upregulated metabolites. Integrated KEGG pathway analysis of differential transcripts and metabolites highlighted the enrichment of secondary metabolic pathways, including diterpenoid, monoterpenoid, and phenylpropanoid biosynthesis. Notably, quantitative HPLC analysis confirmed that UV, R, and FR light significantly promoted the accumulation of dihydrotanshinone I and tanshinone IIA, while decreasing salvianolic acid A content. Metagenomic analysis revealed that monochromatic light, especially B light, reduced rhizosphere microbial alpha diversity and altered the abundance of specific bacterial families and species. Functional gene annotation also showed treatment-specific shifts in microbial metabolic potential and virulence factors. In conclusion, short-term monochromatic light culture, particularly R and FR, effectively modulates the transcriptome and metabolome of S. miltiorrhiza, enhancing the accumulation of key bioactive tanshinones, while simultaneously reshaping its rhizosphere microbial community. These findings offer a potential light-based strategy for improving the quality of S. miltiorrhiza.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
*Salvia miltiorrhiza/metabolism/radiation effects/microbiology/genetics
*Rhizosphere
*Light
*Microbiota/radiation effects
Gene Expression Regulation, Plant/radiation effects
*Transcription, Genetic/radiation effects
RevDate: 2026-06-16
CmpDate: 2026-06-16
Metagenomic profiling of biliary microbiota reveals distinct microbial and functional features in cholelithiasis and cholecystic polyps.
Medicine, 105(24):e49251.
Cholelithiasis and cholecystic polyps are common gastrointestinal conditions, and recent studies suggest that biliary microbiota dysbiosis may be closely associated with their pathogenesis. In this small cohort (n = 11), bile samples were aseptically collected during surgery from 6 patients with cholelithiasis and 5 patients with cholecystic polyps. Metagenomic sequencing was performed to investigate differences in the microbial composition and functional profiles between the 2 groups. The results revealed that the microbial α diversity of bile from patients with cholelithiasis was significantly greater than that of the polyp group, with significant differences in the Richness, Chao1, ACE, and Shannon indices (P < .05). β-diversity analysis further revealed distinct differences in microbial community composition across the groups. Linear discriminant analysis effect size analysis revealed Pseudomonadota as the only phylum enriched in the polyp group, whereas the cholelithiasis group was enriched with multiple phyla, such as Campylobacterota, Bacillota, and Fusobacteriota, and 35 genera, such as Bacteroides, Mucilaginibacter, and Pedobacter. Kyoto Encyclopedia of Genes and Genomes functional enrichment analysis indicated that the microbial community in the cholelithiasis group was significantly associated with neurodegenerative disease-related pathways, while the microbial community in the polyp group was enriched in pathways related to ribosomes and fluid shear stress. This study highlights the potential role of biliary microecological imbalances in the development of biliary diseases and provides a theoretical basis for exploring pathogenesis and microbiota-based therapeutic strategies.
Additional Links: PMID-42299582
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PubMed:
Citation:
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@article {pmid42299582,
year = {2026},
author = {Yu, Y and Wang, C and Pan, X and Ding, C and Chen, J},
title = {Metagenomic profiling of biliary microbiota reveals distinct microbial and functional features in cholelithiasis and cholecystic polyps.},
journal = {Medicine},
volume = {105},
number = {24},
pages = {e49251},
doi = {10.1097/MD.0000000000049251},
pmid = {42299582},
issn = {1536-5964},
support = {2022YFC2804205//National key research and development program of China/ ; },
mesh = {Humans ; *Cholelithiasis/microbiology ; *Metagenomics/methods ; *Polyps/microbiology ; *Microbiota/genetics ; Female ; *Bile/microbiology ; Male ; *Metagenome ; Middle Aged ; Aged ; },
abstract = {Cholelithiasis and cholecystic polyps are common gastrointestinal conditions, and recent studies suggest that biliary microbiota dysbiosis may be closely associated with their pathogenesis. In this small cohort (n = 11), bile samples were aseptically collected during surgery from 6 patients with cholelithiasis and 5 patients with cholecystic polyps. Metagenomic sequencing was performed to investigate differences in the microbial composition and functional profiles between the 2 groups. The results revealed that the microbial α diversity of bile from patients with cholelithiasis was significantly greater than that of the polyp group, with significant differences in the Richness, Chao1, ACE, and Shannon indices (P < .05). β-diversity analysis further revealed distinct differences in microbial community composition across the groups. Linear discriminant analysis effect size analysis revealed Pseudomonadota as the only phylum enriched in the polyp group, whereas the cholelithiasis group was enriched with multiple phyla, such as Campylobacterota, Bacillota, and Fusobacteriota, and 35 genera, such as Bacteroides, Mucilaginibacter, and Pedobacter. Kyoto Encyclopedia of Genes and Genomes functional enrichment analysis indicated that the microbial community in the cholelithiasis group was significantly associated with neurodegenerative disease-related pathways, while the microbial community in the polyp group was enriched in pathways related to ribosomes and fluid shear stress. This study highlights the potential role of biliary microecological imbalances in the development of biliary diseases and provides a theoretical basis for exploring pathogenesis and microbiota-based therapeutic strategies.},
}
MeSH Terms:
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Humans
*Cholelithiasis/microbiology
*Metagenomics/methods
*Polyps/microbiology
*Microbiota/genetics
Female
*Bile/microbiology
Male
*Metagenome
Middle Aged
Aged
RevDate: 2026-06-16
Helitrons are enriched in lichenized fungi with long generation lengths and small distribution sizes.
G3 (Bethesda, Md.) pii:8708698 [Epub ahead of print].
Transposable elements (TEs) have the potential to drive genome evolution by introducing mutations and causing structural instability and chromosomal rearrangements, particularly under conditions like environmental or genetic stress. In this study, we generated 18 new long-read based metagenomically assembled reference genomes for lichenized fungi, which form obligate mutualistic symbioses with algae or cyanobacteria. We used the new genomes and 10 publicly available genomes to investigate the relationships between species traits (i.e., dominant reproductive mode, distribution size, and generation length) and the abundance and spatial distribution of TEs using a phylogenetic comparative framework. We found that species with smaller distribution sizes and longer generation lengths had a higher genomic DNA transposon load. Specifically, their genomes were enriched with Rolling Circle transposons, which contradicts previous research that has identified high proportions of retrotransposons in rare species. Disproportionate distributions of TEs in rare and range-restricted species may disrupt genomic stability, decrease fitness, and be reflective of species experiencing a greater degree of stress. Conversely, greater TE activity may be an important source of novel genetic diversity in isolated populations with limited gene flow. Further research is needed to understand the potential mechanisms driving TE proliferation in rare species' genomes, and if TE content is predictive of increased extinction risk.
Additional Links: PMID-42299645
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PubMed:
Citation:
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@article {pmid42299645,
year = {2026},
author = {Paulsen, J and Sharrett, ST and Mumey, D and Larsen, EM and Nguyen, NK and Lendemer, J and Calabria, LM and Hoffman, JR and Magori, K and Allen, JL},
title = {Helitrons are enriched in lichenized fungi with long generation lengths and small distribution sizes.},
journal = {G3 (Bethesda, Md.)},
volume = {},
number = {},
pages = {},
doi = {10.1093/g3journal/jkag153},
pmid = {42299645},
issn = {2160-1836},
abstract = {Transposable elements (TEs) have the potential to drive genome evolution by introducing mutations and causing structural instability and chromosomal rearrangements, particularly under conditions like environmental or genetic stress. In this study, we generated 18 new long-read based metagenomically assembled reference genomes for lichenized fungi, which form obligate mutualistic symbioses with algae or cyanobacteria. We used the new genomes and 10 publicly available genomes to investigate the relationships between species traits (i.e., dominant reproductive mode, distribution size, and generation length) and the abundance and spatial distribution of TEs using a phylogenetic comparative framework. We found that species with smaller distribution sizes and longer generation lengths had a higher genomic DNA transposon load. Specifically, their genomes were enriched with Rolling Circle transposons, which contradicts previous research that has identified high proportions of retrotransposons in rare species. Disproportionate distributions of TEs in rare and range-restricted species may disrupt genomic stability, decrease fitness, and be reflective of species experiencing a greater degree of stress. Conversely, greater TE activity may be an important source of novel genetic diversity in isolated populations with limited gene flow. Further research is needed to understand the potential mechanisms driving TE proliferation in rare species' genomes, and if TE content is predictive of increased extinction risk.},
}
RevDate: 2026-06-16
Gut Microbiome Associations With Depressive Symptoms in Women With Gynecologic Cancer: A Longitudinal Study.
Biological research for nursing [Epub ahead of print].
About one-quarter of women diagnosed with gynecologic cancer experience depressive symptoms. While the precise mechanism remains unclear, little is known about the association between gut microbiota and depressive symptoms in gynecologic cancer. Thus, this study aimed to evaluate the associations between gut microbiota and depressive symptoms in women with gynecologic cancer over cancer treatment. Thirty-seven women with cervical or endometrial cancer were followed at pre-treatment (T0), 6-8 weeks (T1), and 6 months post-radiation (T2). Depressive symptoms were assessed using the Patient Health Questionnaire-9 (PHQ-9). Rectal swabs were collected at each visit and sequenced for the V4 region of the 16S rRNA gene. MaAsLin2 models evaluated cross-sectional associations between gut microbial taxa and depressive symptoms at each time point, whereas GEE models assessed longitudinal associations over the course of cancer treatment. The patients had an average age of 60 years, and 43% were Black. At baseline (T0), 24% of patients exhibited depressive symptoms, which decreased to 21% at T1 and further to 13% at T2. GEE models showed that lower α-diversity (Shannon index, p = 0.05), dissimilar β-diversity (Bray-Curtis distance, p = 0.02), and reduced abundance of the genus Ruminococcus (p = 0.02) were predictive factors associated with depressive symptoms throughout cancer treatment. Higher depressive symptoms were longitudinally associated with lower gut microbial Shannon diversity, dissimilar microbial community composition, and lower abundance of the genus Ruminococcus. Larger longitudinal studies using shotgun metagenomic sequencing are needed to validate these findings and further elucidate the microbial mechanisms underlying depressive symptoms in women with gynecologic cancers.
Additional Links: PMID-42299860
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PubMed:
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@article {pmid42299860,
year = {2026},
author = {Barandouzi, ZA and Eng, T and Khanna, N and Shelton, J and Scott, I and Patel, P and Remick, J and Jin, R and Meador, R and Bruner, DW},
title = {Gut Microbiome Associations With Depressive Symptoms in Women With Gynecologic Cancer: A Longitudinal Study.},
journal = {Biological research for nursing},
volume = {},
number = {},
pages = {10998004261461549},
doi = {10.1177/10998004261461549},
pmid = {42299860},
issn = {1552-4175},
abstract = {About one-quarter of women diagnosed with gynecologic cancer experience depressive symptoms. While the precise mechanism remains unclear, little is known about the association between gut microbiota and depressive symptoms in gynecologic cancer. Thus, this study aimed to evaluate the associations between gut microbiota and depressive symptoms in women with gynecologic cancer over cancer treatment. Thirty-seven women with cervical or endometrial cancer were followed at pre-treatment (T0), 6-8 weeks (T1), and 6 months post-radiation (T2). Depressive symptoms were assessed using the Patient Health Questionnaire-9 (PHQ-9). Rectal swabs were collected at each visit and sequenced for the V4 region of the 16S rRNA gene. MaAsLin2 models evaluated cross-sectional associations between gut microbial taxa and depressive symptoms at each time point, whereas GEE models assessed longitudinal associations over the course of cancer treatment. The patients had an average age of 60 years, and 43% were Black. At baseline (T0), 24% of patients exhibited depressive symptoms, which decreased to 21% at T1 and further to 13% at T2. GEE models showed that lower α-diversity (Shannon index, p = 0.05), dissimilar β-diversity (Bray-Curtis distance, p = 0.02), and reduced abundance of the genus Ruminococcus (p = 0.02) were predictive factors associated with depressive symptoms throughout cancer treatment. Higher depressive symptoms were longitudinally associated with lower gut microbial Shannon diversity, dissimilar microbial community composition, and lower abundance of the genus Ruminococcus. Larger longitudinal studies using shotgun metagenomic sequencing are needed to validate these findings and further elucidate the microbial mechanisms underlying depressive symptoms in women with gynecologic cancers.},
}
RevDate: 2026-06-16
Association between dietary polyphenol intake and polyphenol-utilizing bacteria in healthy adults.
Food & function [Epub ahead of print].
Dietary polyphenols are bioactive compounds with a bidirectional impact on the gut microbiome; they shape the microbial community and are transformed through bacterial metabolism. However, there are limited studies pairing metagenomic and dietary data to investigate the relationship between polyphenol intake and the taxonomic and functional profiles of the human gut microbiome. We examined if dietary polyphenol intake associates with microbial composition and polyphenol utilization capacity. Healthy adults participated in a cross-sectional study balanced for age, sex, and BMI. Polyphenol intake was previously estimated by mapping multiple 24 h dietary recalls to the Food Database (FooDB). We coupled intake with microbial taxonomic and functional profiles from shotgun-sequenced fecal metagenomes (n = 313). Microbial reads were mapped to dbPUP, a database with 60 experimentally characterized, gut-associated polyphenol utilization proteins (PUPs). We assessed the relationship of polyphenol intake on microbial diversity, abundance of microbes with PUP genes, PUP gene counts, and select lipopolysaccharide (LPS) producers, accounting for age, sex, BMI, fiber intake, and diet quality. Specific polyphenols associated with an increased abundance of nine PUP-containing genera. We found 117 associations between polyphenol intake and microbial PUP genes, with 85 associations involving hydrolysis PUPs. Diversity in polyphenol intake was positively associated with diversity in PUP genes but not with microbial diversity. Lastly, we detected a positive relationship between intake of olive-related polyphenol classes and abundance of order Bacteroidales, a producer of immunoinhibitory LPS. Dietary polyphenol intake may influence the gut microbiome's capacity for polyphenol utilization, particularly its hydrolytic activity, without impacting taxonomic diversity or composition.
Additional Links: PMID-42300105
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PubMed:
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@article {pmid42300105,
year = {2026},
author = {Wilson, SMG and Oliver, A and Alkan, Z and Patil, BS and Kable, ME and Lemay, DG},
title = {Association between dietary polyphenol intake and polyphenol-utilizing bacteria in healthy adults.},
journal = {Food & function},
volume = {},
number = {},
pages = {},
doi = {10.1039/d6fo00158k},
pmid = {42300105},
issn = {2042-650X},
abstract = {Dietary polyphenols are bioactive compounds with a bidirectional impact on the gut microbiome; they shape the microbial community and are transformed through bacterial metabolism. However, there are limited studies pairing metagenomic and dietary data to investigate the relationship between polyphenol intake and the taxonomic and functional profiles of the human gut microbiome. We examined if dietary polyphenol intake associates with microbial composition and polyphenol utilization capacity. Healthy adults participated in a cross-sectional study balanced for age, sex, and BMI. Polyphenol intake was previously estimated by mapping multiple 24 h dietary recalls to the Food Database (FooDB). We coupled intake with microbial taxonomic and functional profiles from shotgun-sequenced fecal metagenomes (n = 313). Microbial reads were mapped to dbPUP, a database with 60 experimentally characterized, gut-associated polyphenol utilization proteins (PUPs). We assessed the relationship of polyphenol intake on microbial diversity, abundance of microbes with PUP genes, PUP gene counts, and select lipopolysaccharide (LPS) producers, accounting for age, sex, BMI, fiber intake, and diet quality. Specific polyphenols associated with an increased abundance of nine PUP-containing genera. We found 117 associations between polyphenol intake and microbial PUP genes, with 85 associations involving hydrolysis PUPs. Diversity in polyphenol intake was positively associated with diversity in PUP genes but not with microbial diversity. Lastly, we detected a positive relationship between intake of olive-related polyphenol classes and abundance of order Bacteroidales, a producer of immunoinhibitory LPS. Dietary polyphenol intake may influence the gut microbiome's capacity for polyphenol utilization, particularly its hydrolytic activity, without impacting taxonomic diversity or composition.},
}
RevDate: 2026-06-16
Advances in the discovery and functional analysis of Anti-infective and immunomodulatory natural products from host-associated microbiomes.
Natural product reports [Epub ahead of print].
Covering: 2018 to 2025Over recent years, metagenomic-driven studies have revealed an enormous encoded repertoire for the biosynthesis of secondary metabolite scaffolds within host-associated microbiota, yet only a small fraction of these chemical scaffolds has been characterized. This review focuses on recent discoveries of natural products with anti-infective and immunomodulatory properties derived from diverse host-associated microbiomes, covering the period from 2018 to 2025. The selected examples span a wide range of anti-infective and immunomodulatory activities, underscoring the deep integration of microbial secondary metabolism with host physiology, while also highlighting the need for more targeted and efficient combined approaches to fully exploit the predicted biosynthetic capacity of microbiomes for anti-infective research and beyond.
Additional Links: PMID-42300247
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PubMed:
Citation:
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@article {pmid42300247,
year = {2026},
author = {Götze, S and Beemelmanns, C},
title = {Advances in the discovery and functional analysis of Anti-infective and immunomodulatory natural products from host-associated microbiomes.},
journal = {Natural product reports},
volume = {},
number = {},
pages = {},
doi = {10.1039/d6np00003g},
pmid = {42300247},
issn = {1460-4752},
abstract = {Covering: 2018 to 2025Over recent years, metagenomic-driven studies have revealed an enormous encoded repertoire for the biosynthesis of secondary metabolite scaffolds within host-associated microbiota, yet only a small fraction of these chemical scaffolds has been characterized. This review focuses on recent discoveries of natural products with anti-infective and immunomodulatory properties derived from diverse host-associated microbiomes, covering the period from 2018 to 2025. The selected examples span a wide range of anti-infective and immunomodulatory activities, underscoring the deep integration of microbial secondary metabolism with host physiology, while also highlighting the need for more targeted and efficient combined approaches to fully exploit the predicted biosynthetic capacity of microbiomes for anti-infective research and beyond.},
}
RevDate: 2026-06-16
Predicting oxygen levels in microbial habitats using a metagenome-based approach.
mSystems [Epub ahead of print].
Oxygen is a primary driver of the distribution and activity of microbial life. Since oxygen levels are often difficult to measure in situ, one potential solution is to use bacteria as bioindicators of oxygen levels. As bacteria range from obligate aerobes to obligate anaerobes, quantification of bacterial community oxygen preferences could be used to infer variation in oxygen levels and bacterial metabolic strategies. After using ensemble machine learning to select the 20 most important genes that predict oxygen tolerances in individual bacteria, we established a relationship between the abundance ratio of aerobic:anaerobic indicator genes and the proportional abundance of aerobic bacteria using simulated metagenomes with varying ratios of known aerobes and anaerobes. We developed a tool, OxyMetaG, that takes metagenomic reads as input, extracts bacterial reads, maps reads to the 20 genes, and predicts oxygen availability in any sample on a scale from 0% to 100% (completely anoxic to completely oxic). We tested OxyMetaG on a suite of metagenomes with measured or inferred oxygen levels across a variety of environmental and host-associated samples. To demonstrate its utility, we applied OxyMetaG to 540 surface soils, showing that surface soils are predominantly oxic, but wetter sites with finer textures have relatively less oxygen. Finally, we applied OxyMetaG to 73 human gut samples, showing that in the first 3 years of life, human guts progress from oxygen levels as high as 61% down to 0%. We expect OxyMetaG to have broad utility for characterizing oxygen levels in both modern and ancient microbial habitats.IMPORTANCEOxygen is one of the most important environmental variables affecting microbial activity and composition, but is often difficult to measure in situ. We developed a tool, OxyMetaG, that leverages differences in bacterial gene content across known aerobic and anaerobic taxa to predict the oxygen level of a given sample directly from shotgun metagenomic reads. OxyMetaG works on samples with low sequencing depth and avoids computationally expensive genome assembly, which often captures only a fraction of the microbial community in a given environment. With OxyMetaG, bacteria can be used as bioindicators of oxygen availability over broader time scales than just a single measurement and provide crucial environmental context in cases where oxygen has not been or cannot be measured. OxyMetaG is publicly available and can be used to answer a wide variety of ecological questions in both environmental and host-associated systems.
Additional Links: PMID-42300737
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PubMed:
Citation:
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@article {pmid42300737,
year = {2026},
author = {Bueno de Mesquita, CP and Stallard-Olivera, E and Fierer, N},
title = {Predicting oxygen levels in microbial habitats using a metagenome-based approach.},
journal = {mSystems},
volume = {},
number = {},
pages = {e0054526},
doi = {10.1128/msystems.00545-26},
pmid = {42300737},
issn = {2379-5077},
abstract = {Oxygen is a primary driver of the distribution and activity of microbial life. Since oxygen levels are often difficult to measure in situ, one potential solution is to use bacteria as bioindicators of oxygen levels. As bacteria range from obligate aerobes to obligate anaerobes, quantification of bacterial community oxygen preferences could be used to infer variation in oxygen levels and bacterial metabolic strategies. After using ensemble machine learning to select the 20 most important genes that predict oxygen tolerances in individual bacteria, we established a relationship between the abundance ratio of aerobic:anaerobic indicator genes and the proportional abundance of aerobic bacteria using simulated metagenomes with varying ratios of known aerobes and anaerobes. We developed a tool, OxyMetaG, that takes metagenomic reads as input, extracts bacterial reads, maps reads to the 20 genes, and predicts oxygen availability in any sample on a scale from 0% to 100% (completely anoxic to completely oxic). We tested OxyMetaG on a suite of metagenomes with measured or inferred oxygen levels across a variety of environmental and host-associated samples. To demonstrate its utility, we applied OxyMetaG to 540 surface soils, showing that surface soils are predominantly oxic, but wetter sites with finer textures have relatively less oxygen. Finally, we applied OxyMetaG to 73 human gut samples, showing that in the first 3 years of life, human guts progress from oxygen levels as high as 61% down to 0%. We expect OxyMetaG to have broad utility for characterizing oxygen levels in both modern and ancient microbial habitats.IMPORTANCEOxygen is one of the most important environmental variables affecting microbial activity and composition, but is often difficult to measure in situ. We developed a tool, OxyMetaG, that leverages differences in bacterial gene content across known aerobic and anaerobic taxa to predict the oxygen level of a given sample directly from shotgun metagenomic reads. OxyMetaG works on samples with low sequencing depth and avoids computationally expensive genome assembly, which often captures only a fraction of the microbial community in a given environment. With OxyMetaG, bacteria can be used as bioindicators of oxygen availability over broader time scales than just a single measurement and provide crucial environmental context in cases where oxygen has not been or cannot be measured. OxyMetaG is publicly available and can be used to answer a wide variety of ecological questions in both environmental and host-associated systems.},
}
RevDate: 2026-06-16
Tibetan kefir grain-fermented milk attenuates DSS-induced colitis through coordinated regulation of intestinal barrier function, inflammation, and gut microbiota.
Food & function [Epub ahead of print].
This study evaluated the prophylactic efficacy of Tibetan kefir grain-fermented milk (Kefir-milk) in a dextran sulfate sodium (DSS)-induced colitis model and examined host- and fermentation-related changes associated with the intervention. Kefir-milk pretreatment attenuated disease activity, reduced colon shortening, and alleviated histopathological injury. These changes were accompanied by improved intestinal barrier-related readouts, including higher expression of ZO-1, Occludin, and MUC2, together with lower colonic MPO, TNF-α, IL-1β, and IL-6 levels. 16S rRNA profiling showed improved α-diversity, partial restoration of overall community structure, enrichment of Muribaculaceae and other genera commonly linked to intestinal homeostasis, and suppression of Escherichia-Shigella. Shotgun metagenomics indicated that the final Kefir-milk matrix was dominated by Lactobacillus-related taxa, while untargeted UPLC-HRMS/MS metabolomics revealed broad fermentation-associated remodeling of the milk metabolome, including altered relative abundances of features annotated as hippuric acid, p-cresyl sulfate, leucic acid, and phenyllactic acid. In LPS-challenged RAW264.7 macrophages, sterile filtered water-soluble extracts from Kefir-milk modulated polarization-associated marker expression and reduced pro-inflammatory cytokine responses at both transcript and protein levels. Collectively, these findings indicate that Kefir-milk attenuated DSS-induced colitis under the present experimental conditions and was associated with concurrent changes in barrier-related markers, gut microbiota, and the milk metabolome.
Additional Links: PMID-42300757
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PubMed:
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@article {pmid42300757,
year = {2026},
author = {Li, B and Li, S and Pei, Y and Sun, X and Ding, C and Yu, J and Zhou, M and Han, J and Yang, H and Wan, Y},
title = {Tibetan kefir grain-fermented milk attenuates DSS-induced colitis through coordinated regulation of intestinal barrier function, inflammation, and gut microbiota.},
journal = {Food & function},
volume = {},
number = {},
pages = {},
doi = {10.1039/d6fo01565d},
pmid = {42300757},
issn = {2042-650X},
abstract = {This study evaluated the prophylactic efficacy of Tibetan kefir grain-fermented milk (Kefir-milk) in a dextran sulfate sodium (DSS)-induced colitis model and examined host- and fermentation-related changes associated with the intervention. Kefir-milk pretreatment attenuated disease activity, reduced colon shortening, and alleviated histopathological injury. These changes were accompanied by improved intestinal barrier-related readouts, including higher expression of ZO-1, Occludin, and MUC2, together with lower colonic MPO, TNF-α, IL-1β, and IL-6 levels. 16S rRNA profiling showed improved α-diversity, partial restoration of overall community structure, enrichment of Muribaculaceae and other genera commonly linked to intestinal homeostasis, and suppression of Escherichia-Shigella. Shotgun metagenomics indicated that the final Kefir-milk matrix was dominated by Lactobacillus-related taxa, while untargeted UPLC-HRMS/MS metabolomics revealed broad fermentation-associated remodeling of the milk metabolome, including altered relative abundances of features annotated as hippuric acid, p-cresyl sulfate, leucic acid, and phenyllactic acid. In LPS-challenged RAW264.7 macrophages, sterile filtered water-soluble extracts from Kefir-milk modulated polarization-associated marker expression and reduced pro-inflammatory cytokine responses at both transcript and protein levels. Collectively, these findings indicate that Kefir-milk attenuated DSS-induced colitis under the present experimental conditions and was associated with concurrent changes in barrier-related markers, gut microbiota, and the milk metabolome.},
}
RevDate: 2026-06-16
Genomic and phenotypic insights into the novel species Selenomonas lamontii type strain ATCC 33150, currently described as Selenomonas sputigena.
Microbiology spectrum [Epub ahead of print].
Selenomonas sputigena is an anaerobic, gram-negative bacterium found in the human mouth and upper respiratory tract. This organism is emerging as an important contributor to human health and disease. In the oral cavity, S. sputigena contributes to periodontitis and is associated with early childhood caries. Much of our current understanding of the genus Selenomonas and its relation to human health derives from studies of a single species, S. sputigena, and is further limited to the type strain, ATCC 35185. As S. sputigena is emerging as a significant contributor to human health, we sought to characterize the S. sputigena ATCC 33150 strain. Genomic analyses revealed that ATCC 33150, previously described as S. sputigena, is a novel Selenomonas sp., and we propose the name Selenomonas lamontii. Phenotypic comparison to S. sputigena reveals that S. lamontii grows more slowly and to a lower density in vitro. S. lamontii is more motile than S. sputigena and does not form surface-attached biofilms. Re-analysis of existing metagenomic data revealed the consistent presence of ATCC 33150 across all samples, with significantly elevated relative abundance in periodontitis-associated saliva compared to healthy donor controls. Collectively, we have identified ATCC 33150 as a new Selenomonas sp. and conducted one of the first direct comparative studies of traits relevant to colonization and persistence among Selenomonas spp.IMPORTANCERecognizing that strain ATCC 33150, historically described as Selenomonas sputigena, is a previously undescribed species has important implications for microbial systematics, physiology, and pathogenesis. Accurate taxonomic assignment underpins all downstream biological interpretation (e.g., comparative genomics, microbiome composition studies, virulence studies, and metabolic modeling). The identification of a novel species, therefore, refines the phylogenetic framework of the genus Selenomonas, enables more precise genotype-phenotype correlations, and may uncover previously unrecognized adaptations relevant to oral biofilm ecology and host interactions. Beyond taxonomy, this discovery strengthens the foundation and rigor of future mechanistic studies and provides context for discrepancies in previous studies involving this strain and ATCC 35185.
Additional Links: PMID-42300775
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@article {pmid42300775,
year = {2026},
author = {Hawkes, CG and Carroll, BO and Moylan, AD and Stiker, MEJ and Wang, T and Serrano, MG and Ridlon, JM and Miller, DP},
title = {Genomic and phenotypic insights into the novel species Selenomonas lamontii type strain ATCC 33150, currently described as Selenomonas sputigena.},
journal = {Microbiology spectrum},
volume = {},
number = {},
pages = {e0034126},
doi = {10.1128/spectrum.00341-26},
pmid = {42300775},
issn = {2165-0497},
abstract = {Selenomonas sputigena is an anaerobic, gram-negative bacterium found in the human mouth and upper respiratory tract. This organism is emerging as an important contributor to human health and disease. In the oral cavity, S. sputigena contributes to periodontitis and is associated with early childhood caries. Much of our current understanding of the genus Selenomonas and its relation to human health derives from studies of a single species, S. sputigena, and is further limited to the type strain, ATCC 35185. As S. sputigena is emerging as a significant contributor to human health, we sought to characterize the S. sputigena ATCC 33150 strain. Genomic analyses revealed that ATCC 33150, previously described as S. sputigena, is a novel Selenomonas sp., and we propose the name Selenomonas lamontii. Phenotypic comparison to S. sputigena reveals that S. lamontii grows more slowly and to a lower density in vitro. S. lamontii is more motile than S. sputigena and does not form surface-attached biofilms. Re-analysis of existing metagenomic data revealed the consistent presence of ATCC 33150 across all samples, with significantly elevated relative abundance in periodontitis-associated saliva compared to healthy donor controls. Collectively, we have identified ATCC 33150 as a new Selenomonas sp. and conducted one of the first direct comparative studies of traits relevant to colonization and persistence among Selenomonas spp.IMPORTANCERecognizing that strain ATCC 33150, historically described as Selenomonas sputigena, is a previously undescribed species has important implications for microbial systematics, physiology, and pathogenesis. Accurate taxonomic assignment underpins all downstream biological interpretation (e.g., comparative genomics, microbiome composition studies, virulence studies, and metabolic modeling). The identification of a novel species, therefore, refines the phylogenetic framework of the genus Selenomonas, enables more precise genotype-phenotype correlations, and may uncover previously unrecognized adaptations relevant to oral biofilm ecology and host interactions. Beyond taxonomy, this discovery strengthens the foundation and rigor of future mechanistic studies and provides context for discrepancies in previous studies involving this strain and ATCC 35185.},
}
RevDate: 2026-06-16
Animal-based diets and the human gut microbiota: an integrative review combining metagenomic profiling and graphical synthesis of diet-microbiota associations.
Food & function [Epub ahead of print].
This review examines the relationships between animal-based diets, gut microbiota architecture, and human health by integrating insights from metagenomic studies and literature-based graphical representations. The gut microbiota is a complex microbial ecosystem, whose organization is closely linked to intestinal homeostasis and host health. Drawing on published metagenomic datasets, the review synthesizes patterns of dominant microbial groups and their organization within the gut, providing a framework for interpreting diet-related microbial variations across different geographic and cultural contexts. Evidence from the literature on animal-derived foods is integrated through graphical visualization to illustrate associations between specific foods and gut microbial taxa. These visualizations highlight distinct association patterns and microbial responses to various animal-based dietary components. The review discusses these patterns in relation to intestinal health, disease susceptibility, and potential dietary interventions. Overall, this work provides a structured, integrative perspective on the impact of animal-based diets on gut microbiota architecture, emphasizing the relevance of combining metagenomic insights with literature-based synthesis to inform nutritional science and public health strategies.
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@article {pmid42300931,
year = {2026},
author = {Medouni-Haroune, L and Medouni-Adrar, S and Messaoudene, L and Negrichi, S and Bouiche, C and Sahraoui-Remini, Y and Allam, A and Meghlaoui, Z and Mouhoubi, K and Abbou, A and Brahimi, N and Mellal, MK and Sari, Z and Madani, K},
title = {Animal-based diets and the human gut microbiota: an integrative review combining metagenomic profiling and graphical synthesis of diet-microbiota associations.},
journal = {Food & function},
volume = {},
number = {},
pages = {},
doi = {10.1039/d6fo00371k},
pmid = {42300931},
issn = {2042-650X},
abstract = {This review examines the relationships between animal-based diets, gut microbiota architecture, and human health by integrating insights from metagenomic studies and literature-based graphical representations. The gut microbiota is a complex microbial ecosystem, whose organization is closely linked to intestinal homeostasis and host health. Drawing on published metagenomic datasets, the review synthesizes patterns of dominant microbial groups and their organization within the gut, providing a framework for interpreting diet-related microbial variations across different geographic and cultural contexts. Evidence from the literature on animal-derived foods is integrated through graphical visualization to illustrate associations between specific foods and gut microbial taxa. These visualizations highlight distinct association patterns and microbial responses to various animal-based dietary components. The review discusses these patterns in relation to intestinal health, disease susceptibility, and potential dietary interventions. Overall, this work provides a structured, integrative perspective on the impact of animal-based diets on gut microbiota architecture, emphasizing the relevance of combining metagenomic insights with literature-based synthesis to inform nutritional science and public health strategies.},
}
RevDate: 2026-06-16
Genomic evolution of Francisella: metabolic innovation, endosymbiotic transitions to ticks, and biogeographic history.
Genome biology and evolution pii:8708898 [Epub ahead of print].
Ticks (Ixodida) are the second most important vectors of infectious diseases in vertebrates, after mosquitoes. Beyond vector roles, they maintain mutualistic associations with bacteria, including endosymbionts that provide essential B vitamins lacking in their blood-based diet. The most extensively studied endosymbionts belong to the genera Coxiella, Midichloria, and Francisella. The genus Francisella encompasses endosymbionts (FE), pathogens (FP), opportunistic pathogens (FO) and free-living environmental strains (FL), making it a powerful system for evolutionary and comparative genomic analyses. In this study, total DNA from six adult female ticks of the genera Hyalomma and Amblyomma was sequenced to generate new FE genomes. Seven deeply sequenced public metagenomes were also assembled, yielding 71 Francisella and three Allofrancisella strains. This dataset supported phylogenomic reconstruction and comparison of genomic features, including vitamin biosynthesis and virulence pathways, with a focus on transitions to tick endosymbiosis. A densely sampled MLST phylogeny was constructed to explore biogeographic patterns. Our results show that, except for FE, no ecological trait is monophyletic, supporting an origin of Francisella diversity from free-living ancestors. Biogeography suggests Palearctic and Afrotropical FE strains are derived and may involve horizontal transfers. Francisella comparative genomics reveals two contrasting profiles: environmental generalists and host-restricted specialists. These findings reinforce the role of tick FEs as nutritional mutualists, retaining key pathways such as riboflavin, shikimate, and biotin biosynthesis. In contrast, virulence is not ancestrally conserved but an innovation in pathogenic lineages, largely degraded in tick FEs. These results advance understanding of endosymbiont evolution and provide genomic insights with potential for disease control.
Additional Links: PMID-42301021
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@article {pmid42301021,
year = {2026},
author = {Echeverry-Pérez, JS and Castelli, M and Muñoz-Leal, S and Nava, S and Sassera, D and Sánchez-Vialas, A and Olmeda, AS and Valcárcel, F and Uribe, JE},
title = {Genomic evolution of Francisella: metabolic innovation, endosymbiotic transitions to ticks, and biogeographic history.},
journal = {Genome biology and evolution},
volume = {},
number = {},
pages = {},
doi = {10.1093/gbe/evag135},
pmid = {42301021},
issn = {1759-6653},
abstract = {Ticks (Ixodida) are the second most important vectors of infectious diseases in vertebrates, after mosquitoes. Beyond vector roles, they maintain mutualistic associations with bacteria, including endosymbionts that provide essential B vitamins lacking in their blood-based diet. The most extensively studied endosymbionts belong to the genera Coxiella, Midichloria, and Francisella. The genus Francisella encompasses endosymbionts (FE), pathogens (FP), opportunistic pathogens (FO) and free-living environmental strains (FL), making it a powerful system for evolutionary and comparative genomic analyses. In this study, total DNA from six adult female ticks of the genera Hyalomma and Amblyomma was sequenced to generate new FE genomes. Seven deeply sequenced public metagenomes were also assembled, yielding 71 Francisella and three Allofrancisella strains. This dataset supported phylogenomic reconstruction and comparison of genomic features, including vitamin biosynthesis and virulence pathways, with a focus on transitions to tick endosymbiosis. A densely sampled MLST phylogeny was constructed to explore biogeographic patterns. Our results show that, except for FE, no ecological trait is monophyletic, supporting an origin of Francisella diversity from free-living ancestors. Biogeography suggests Palearctic and Afrotropical FE strains are derived and may involve horizontal transfers. Francisella comparative genomics reveals two contrasting profiles: environmental generalists and host-restricted specialists. These findings reinforce the role of tick FEs as nutritional mutualists, retaining key pathways such as riboflavin, shikimate, and biotin biosynthesis. In contrast, virulence is not ancestrally conserved but an innovation in pathogenic lineages, largely degraded in tick FEs. These results advance understanding of endosymbiont evolution and provide genomic insights with potential for disease control.},
}
RevDate: 2026-06-16
CmpDate: 2026-06-16
Dietary High Fiber and N-Carbamylglutamate Enhance Sow Reproductive Performance via Modulating Lactobacilli, Lipid Metabolites, and the PI3K-Akt Signaling Pathway.
FASEB journal : official publication of the Federation of American Societies for Experimental Biology, 40(12):e72059.
The aim of this study was to investigate the combined effects of a high-fiber diet supplemented with N-carbamylglutamate (NCG) (H + N) on the gut microbiota, metabolites, and transcriptome in Landrace × Yorkshire sows using a multi-omics approach. Sows were allocated to four groups in a 2 × 2 design: Low-fiber or high-fiber diets, each with or without 0.05% NCG supplementation. The H + N treatment significantly increased litter weight at weaning. Metagenomic analysis revealed H + N significantly altered gut microbiota composition and function, particularly enriching Lactobacillus at multiple taxonomic levels from order to species (including Lactobacillus sp. 910 589 175). Plasma metabolomics identified two key lipid mediators, L-α-glycerylphosphorylcholine and taurocholic acid, whose abundances were significantly elevated by H + N and positively correlated with the enriched Lactobacillus. Transcriptomic profiling showed activation of the PI3K-Akt signaling pathway in response to H + N, which was associated with observed improvement in litter weight at weaning. Collectively, the multi-omics study uncovered a novel synergistic axis wherein H + N modulated the gut microbiome (specifically Lactobacillus enrichment), which in turn shaped the lipid metabolome to activate the PI3K-Akt pathway, ultimately enhancing sow reproductive efficiency.
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@article {pmid42301089,
year = {2026},
author = {Wang, H and Liang, Y and Wang, Z and Zhang, Y and Tu, W and Zhou, J and Diao, Y and Pei, H and Huang, J and Zhou, X and Tan, Y},
title = {Dietary High Fiber and N-Carbamylglutamate Enhance Sow Reproductive Performance via Modulating Lactobacilli, Lipid Metabolites, and the PI3K-Akt Signaling Pathway.},
journal = {FASEB journal : official publication of the Federation of American Societies for Experimental Biology},
volume = {40},
number = {12},
pages = {e72059},
doi = {10.1096/fj.202601343R},
pmid = {42301089},
issn = {1530-6860},
support = {2025M780240//China Postdoctoral Science Foundation/ ; 2023ZD04046//Biological Breeding-National Science and Technology Major Project/ ; 2025(05)//Livestock and Poultry Breeding and Healthy Farming Technology/ ; },
mesh = {Animals ; *Glutamates/pharmacology/administration & dosage ; Female ; *Lactobacillus/drug effects/metabolism ; Signal Transduction/drug effects ; Swine ; *Proto-Oncogene Proteins c-akt/metabolism ; *Reproduction/drug effects ; *Dietary Fiber/pharmacology/administration & dosage ; *Phosphatidylinositol 3-Kinases/metabolism ; *Lipid Metabolism/drug effects ; Gastrointestinal Microbiome/drug effects ; Animal Feed/analysis ; },
abstract = {The aim of this study was to investigate the combined effects of a high-fiber diet supplemented with N-carbamylglutamate (NCG) (H + N) on the gut microbiota, metabolites, and transcriptome in Landrace × Yorkshire sows using a multi-omics approach. Sows were allocated to four groups in a 2 × 2 design: Low-fiber or high-fiber diets, each with or without 0.05% NCG supplementation. The H + N treatment significantly increased litter weight at weaning. Metagenomic analysis revealed H + N significantly altered gut microbiota composition and function, particularly enriching Lactobacillus at multiple taxonomic levels from order to species (including Lactobacillus sp. 910 589 175). Plasma metabolomics identified two key lipid mediators, L-α-glycerylphosphorylcholine and taurocholic acid, whose abundances were significantly elevated by H + N and positively correlated with the enriched Lactobacillus. Transcriptomic profiling showed activation of the PI3K-Akt signaling pathway in response to H + N, which was associated with observed improvement in litter weight at weaning. Collectively, the multi-omics study uncovered a novel synergistic axis wherein H + N modulated the gut microbiome (specifically Lactobacillus enrichment), which in turn shaped the lipid metabolome to activate the PI3K-Akt pathway, ultimately enhancing sow reproductive efficiency.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Animals
*Glutamates/pharmacology/administration & dosage
Female
*Lactobacillus/drug effects/metabolism
Signal Transduction/drug effects
Swine
*Proto-Oncogene Proteins c-akt/metabolism
*Reproduction/drug effects
*Dietary Fiber/pharmacology/administration & dosage
*Phosphatidylinositol 3-Kinases/metabolism
*Lipid Metabolism/drug effects
Gastrointestinal Microbiome/drug effects
Animal Feed/analysis
RevDate: 2026-06-16
Shaping Fungal Communities in Cenchrus setaceus: Host Condition and Habitat Filtering.
Microbial ecology pii:10.1007/s00248-026-02805-3 [Epub ahead of print].
We investigated the leaf-associated fungal communities of Cenchrus setaceus across a host condition gradient (high- vs. low-condition plants) and environmental zones (coast vs. hill; trade-wind exposure) on Tenerife (TF) and La Palma (LP). We hypothesized that community assembly reflects both host-driven deterministic filtering and abiotic promotion of richness in favourable environments via two mechanisms: (i) high-condition plants promote stable, guild-structured communities; (ii) humid, topographically buffered zones enhance fungal richness, especially for endophytes and saprotrophs. Nanopore sequencing and functional guild annotation revealed island- and zone-specific fungal assemblages. In TF, low-condition plants were associated with genera linked to stressed or exposed conditions whereas high-condition plants, especially in humid northern hills, supported more recurrent yeast-like and niche-associated taxa. In LP, high-condition plants in eastern hill zones were associated with distinct taxa, while drier western coastal low-condition plants were enriched in stress-related fungi. Fungal genera richness (Hill0) was consistently higher in low-condition plants (TF: 146 vs. 95; LP: 94 vs. 76; p < 0.05), while Shannon diversity diverged: greater in high-condition plants on LP (3.29 vs. 2.98), but lower on TF (3.10 vs. 3.28; p < 0.05). Community structure was shaped primarily by host condition in TF (PERMANOVA R[2] = 8.6%, p < 0.05), and by zone in LP (R[2] = 15.0%, p < 0.05). On TF, low-condition plants hosted significantly higher richness of saprotrophic, endophytic and plant-pathogenic genera (all p ≤ 0.001), whereas in LP zone × condition effects shaped guild richness patterns, with saprotroph richness increasing 2.66-fold in high condition plants from eastern hills relative to the eastern coast. Overall, high-condition plants supported less diverse but compositionally more stable fungal communities, while favourable environments enhanced guild richness independently of host condition.
Additional Links: PMID-42301310
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PubMed:
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@article {pmid42301310,
year = {2026},
author = {Cosoveanu, A and González-Carracedo, MA and Sopena Lasala, J and Pérez Pérez, JA and Cabrera, R},
title = {Shaping Fungal Communities in Cenchrus setaceus: Host Condition and Habitat Filtering.},
journal = {Microbial ecology},
volume = {},
number = {},
pages = {},
doi = {10.1007/s00248-026-02805-3},
pmid = {42301310},
issn = {1432-184X},
abstract = {We investigated the leaf-associated fungal communities of Cenchrus setaceus across a host condition gradient (high- vs. low-condition plants) and environmental zones (coast vs. hill; trade-wind exposure) on Tenerife (TF) and La Palma (LP). We hypothesized that community assembly reflects both host-driven deterministic filtering and abiotic promotion of richness in favourable environments via two mechanisms: (i) high-condition plants promote stable, guild-structured communities; (ii) humid, topographically buffered zones enhance fungal richness, especially for endophytes and saprotrophs. Nanopore sequencing and functional guild annotation revealed island- and zone-specific fungal assemblages. In TF, low-condition plants were associated with genera linked to stressed or exposed conditions whereas high-condition plants, especially in humid northern hills, supported more recurrent yeast-like and niche-associated taxa. In LP, high-condition plants in eastern hill zones were associated with distinct taxa, while drier western coastal low-condition plants were enriched in stress-related fungi. Fungal genera richness (Hill0) was consistently higher in low-condition plants (TF: 146 vs. 95; LP: 94 vs. 76; p < 0.05), while Shannon diversity diverged: greater in high-condition plants on LP (3.29 vs. 2.98), but lower on TF (3.10 vs. 3.28; p < 0.05). Community structure was shaped primarily by host condition in TF (PERMANOVA R[2] = 8.6%, p < 0.05), and by zone in LP (R[2] = 15.0%, p < 0.05). On TF, low-condition plants hosted significantly higher richness of saprotrophic, endophytic and plant-pathogenic genera (all p ≤ 0.001), whereas in LP zone × condition effects shaped guild richness patterns, with saprotroph richness increasing 2.66-fold in high condition plants from eastern hills relative to the eastern coast. Overall, high-condition plants supported less diverse but compositionally more stable fungal communities, while favourable environments enhanced guild richness independently of host condition.},
}
RevDate: 2026-06-16
CmpDate: 2026-06-16
Omics technologies in aquafeed: unlocking the black box towards systems biology.
Functional & integrative genomics, 26(1):.
The aquaculture industry is undergoing a critical transition from marine-based to plant-based and novel protein sources. However, the physiological impacts of these dietary shifts remain largely obscured when evaluated solely by traditional performance metrics such as Feed Conversion Ratio (FCR) and Specific Growth Rate (SGR). This 'Black Box' approach fails to detect sub-clinical metabolic disorders, gut dysbiosis, and molecular stress responses until phenotypic losses occur. This review provides a comprehensive synthesis of how omics technologies - nutrigenomics, proteomics, metabolomics, and metagenomics - are elucidating the molecular mechanisms underlying fish nutrition. We examine the capacity of transcriptomics to identify early markers of soybean meal-induced enteritis and the role of proteomics in assessing muscle quality beyond mere gene expression. Furthermore, we highlight the integration of these layers into a 'Systems Biology' approach, utilizing multi-omics and bioinformatics to unravel the complex diet-microbiota-host axis. Finally, the review discusses the transition towards 'Precision Aquafeed.' It identifies the current challenges in cost, data standardization, and bioinformatics that must be overcome to implement these high-throughput tools in commercial feed formulation.
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@article {pmid42301501,
year = {2026},
author = {Öz, M and Üstüner, E},
title = {Omics technologies in aquafeed: unlocking the black box towards systems biology.},
journal = {Functional & integrative genomics},
volume = {26},
number = {1},
pages = {},
pmid = {42301501},
issn = {1438-7948},
mesh = {Animals ; *Systems Biology/methods ; *Aquaculture/methods ; Multiomics ; Metabolomics ; *Fishes/genetics/metabolism/growth & development ; Animal Feed ; Proteomics/methods ; Nutrigenomics ; },
abstract = {The aquaculture industry is undergoing a critical transition from marine-based to plant-based and novel protein sources. However, the physiological impacts of these dietary shifts remain largely obscured when evaluated solely by traditional performance metrics such as Feed Conversion Ratio (FCR) and Specific Growth Rate (SGR). This 'Black Box' approach fails to detect sub-clinical metabolic disorders, gut dysbiosis, and molecular stress responses until phenotypic losses occur. This review provides a comprehensive synthesis of how omics technologies - nutrigenomics, proteomics, metabolomics, and metagenomics - are elucidating the molecular mechanisms underlying fish nutrition. We examine the capacity of transcriptomics to identify early markers of soybean meal-induced enteritis and the role of proteomics in assessing muscle quality beyond mere gene expression. Furthermore, we highlight the integration of these layers into a 'Systems Biology' approach, utilizing multi-omics and bioinformatics to unravel the complex diet-microbiota-host axis. Finally, the review discusses the transition towards 'Precision Aquafeed.' It identifies the current challenges in cost, data standardization, and bioinformatics that must be overcome to implement these high-throughput tools in commercial feed formulation.},
}
MeSH Terms:
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Animals
*Systems Biology/methods
*Aquaculture/methods
Multiomics
Metabolomics
*Fishes/genetics/metabolism/growth & development
Animal Feed
Proteomics/methods
Nutrigenomics
RevDate: 2026-06-16
CmpDate: 2026-06-16
Detoxification mechanisms of black soldier fly larvae against microcystin-LR.
Functional & integrative genomics, 26(1):.
This study aimed to elucidate the detoxification mechanisms of black soldier fly larvae (BSFL) against microcystin-LR (MC-LR). Using concentration-gradient exposure (0 - 400 µg/L) and integrated metagenomic and transcriptomic analyses, we investigated the growth responses, gut microbiota alterations, and synergistic detoxification mechanisms of BSFL. The results revealed that the growth performance of BSFL was not significantly affected even at high MC-LR concentrations (400 µg/L). However, significant alterations occurred in the gut microbial composition, with increased relative abundances of Actinobacteria and Firmicutes, along with increased species richness and diversity, which correlated with increasing exposure concentrations. Functional analysis revealed that functions related to carbohydrate metabolism, energy metabolism, and substrate transport were significantly enriched in the exposed groups. Transcriptomic data further indicated that MC-LR induced intestinal oxidative stress, with significant upregulation of antioxidant-related genes (superoxide dismutase, isocitrate dehydrogenase, and peroxiredoxin 6) as well as key xenobiotic metabolism genes (carboxylesterase, glutathione S-transferase, and UDP-glucuronosyltransferase). Additionally, heat shock proteins and the Toll signaling pathway were activated. We speculate that BSFL maintains gut microbial homeostasis against MC-LR toxicity through the coordinated regulation of gut microbial communities, host antioxidant systems, xenobiotic metabolism pathways, and immune responses, providing a theoretical foundation for safe resource utilization of cyanobacteria.
Additional Links: PMID-42301503
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@article {pmid42301503,
year = {2026},
author = {Bao, W and Li, X and Pan, H and Gao, Y and Zhao, L and Liu, J and Wang, S and Zhang, Y},
title = {Detoxification mechanisms of black soldier fly larvae against microcystin-LR.},
journal = {Functional & integrative genomics},
volume = {26},
number = {1},
pages = {},
pmid = {42301503},
issn = {1438-7948},
mesh = {Animals ; *Microcystins/toxicity/metabolism ; Marine Toxins ; Larva/microbiology/metabolism/growth & development/drug effects/genetics ; *Gastrointestinal Microbiome/drug effects ; Oxidative Stress ; Inactivation, Metabolic ; *Simuliidae/microbiology/metabolism/genetics/growth & development/drug effects ; },
abstract = {This study aimed to elucidate the detoxification mechanisms of black soldier fly larvae (BSFL) against microcystin-LR (MC-LR). Using concentration-gradient exposure (0 - 400 µg/L) and integrated metagenomic and transcriptomic analyses, we investigated the growth responses, gut microbiota alterations, and synergistic detoxification mechanisms of BSFL. The results revealed that the growth performance of BSFL was not significantly affected even at high MC-LR concentrations (400 µg/L). However, significant alterations occurred in the gut microbial composition, with increased relative abundances of Actinobacteria and Firmicutes, along with increased species richness and diversity, which correlated with increasing exposure concentrations. Functional analysis revealed that functions related to carbohydrate metabolism, energy metabolism, and substrate transport were significantly enriched in the exposed groups. Transcriptomic data further indicated that MC-LR induced intestinal oxidative stress, with significant upregulation of antioxidant-related genes (superoxide dismutase, isocitrate dehydrogenase, and peroxiredoxin 6) as well as key xenobiotic metabolism genes (carboxylesterase, glutathione S-transferase, and UDP-glucuronosyltransferase). Additionally, heat shock proteins and the Toll signaling pathway were activated. We speculate that BSFL maintains gut microbial homeostasis against MC-LR toxicity through the coordinated regulation of gut microbial communities, host antioxidant systems, xenobiotic metabolism pathways, and immune responses, providing a theoretical foundation for safe resource utilization of cyanobacteria.},
}
MeSH Terms:
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Animals
*Microcystins/toxicity/metabolism
Marine Toxins
Larva/microbiology/metabolism/growth & development/drug effects/genetics
*Gastrointestinal Microbiome/drug effects
Oxidative Stress
Inactivation, Metabolic
*Simuliidae/microbiology/metabolism/genetics/growth & development/drug effects
RevDate: 2026-06-15
Microbiome and metabolic disorder in prolactinoma: intrinsic gender differences and extrinsic therapy effects.
Pituitary, 28(4):83.
PURPOSE: Prolactinoma is the most common functional pituitary adenoma. As for gender disparity in the metabolic state, males tended to have higher rates of metabolic disorders, while treatment with dopamine agonists enabled partial improvement in metabolic disorders. Oral medication used to be the first-line treatment option; thus, the efficacy of dopamine receptor agonists is linked to the intestinal microenvironment. The gut microbiome is known to interact with host physiology and metabolic profile. Therefore, it is necessary to uncover the linkages between the alteration of gut microbiota and prolactinoma. METHODS: 28 Patients diagnosed with prolactinoma and 31 healthy controls were included. Fecal samples were collected for 16 S rRNA gene sequencing and metagenomic sequencing to identify featured intestinal microflora between patients and healthy individuals, as well as to examine how gender and dopamine agonists affect the gut microbiome’s structure. RESULTS: Agathobacter, Blautia, Dorea, Fusicatenibacter, and Mediterraneibacter were prominent in the PRLoma group. Bilophila wadsworthia, Clostridium sp. CAG:7, Megasphaera elsdenii, and Mycoplasma sp. CAG:472 were independently associated with metabolic disorders in male patients. This metabolic regulatory effect may result from the levels of Xylose, the glycine to serine ratio, N2-acetyl, N6, N6-dimethyllysine levels, and the cholesterol to oleoyl-linoleoyl-glycerol (18:1 to 18:2) ratio in plasma. Furthermore, administering dopamine agonists reduced harmful species such as Fusobacterium mortiferum, Bacteroides fragilis, and Ruminococcus biciculans, potentially contributing to an improved metabolic status. CONCLUSIONS: Patients with prolactinoma have different intestinal flora than healthy individuals. In addition to the occurrence of prolactinoma and concomitant serum prolactin excess, the gender effect and administration of dopamine agonists are also involved in regulating intestinal microbiota and the metabolic status of the host.
Additional Links: PMID-40608175
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@article {pmid40608175,
year = {2025},
author = {Ye, Z and Yu, Y and Cao, Z and Ye, Z and Gu, X and Shen, X and Cai, B and Lin, B and Ji, C and Qiao, N and Wu, Z and Chen, Z and Ma, Z and Chen, L and Liang, B and Liao, Y and He, W and Shen, Q and Han, J and Cao, X and Zhou, X and Shou, X and Shen, M and Wang, Y and Zhang, Z and Ye, H and Zhang, Q and Gao, R and Zhang, Y},
title = {Microbiome and metabolic disorder in prolactinoma: intrinsic gender differences and extrinsic therapy effects.},
journal = {Pituitary},
volume = {28},
number = {4},
pages = {83},
pmid = {40608175},
issn = {1573-7403},
support = {24ZR1408900//Natural Science Foundation of Shanghai Municipality/ ; 320.6750.2023-13-11//Wu Jieping Medical Foundation/ ; 2023ZD0506800//National Major Science and Technology Projects of China/ ; 82202906//National Natural Science Foundation of China/ ; },
abstract = {PURPOSE: Prolactinoma is the most common functional pituitary adenoma. As for gender disparity in the metabolic state, males tended to have higher rates of metabolic disorders, while treatment with dopamine agonists enabled partial improvement in metabolic disorders. Oral medication used to be the first-line treatment option; thus, the efficacy of dopamine receptor agonists is linked to the intestinal microenvironment. The gut microbiome is known to interact with host physiology and metabolic profile. Therefore, it is necessary to uncover the linkages between the alteration of gut microbiota and prolactinoma. METHODS: 28 Patients diagnosed with prolactinoma and 31 healthy controls were included. Fecal samples were collected for 16 S rRNA gene sequencing and metagenomic sequencing to identify featured intestinal microflora between patients and healthy individuals, as well as to examine how gender and dopamine agonists affect the gut microbiome’s structure. RESULTS: Agathobacter, Blautia, Dorea, Fusicatenibacter, and Mediterraneibacter were prominent in the PRLoma group. Bilophila wadsworthia, Clostridium sp. CAG:7, Megasphaera elsdenii, and Mycoplasma sp. CAG:472 were independently associated with metabolic disorders in male patients. This metabolic regulatory effect may result from the levels of Xylose, the glycine to serine ratio, N2-acetyl, N6, N6-dimethyllysine levels, and the cholesterol to oleoyl-linoleoyl-glycerol (18:1 to 18:2) ratio in plasma. Furthermore, administering dopamine agonists reduced harmful species such as Fusobacterium mortiferum, Bacteroides fragilis, and Ruminococcus biciculans, potentially contributing to an improved metabolic status. CONCLUSIONS: Patients with prolactinoma have different intestinal flora than healthy individuals. In addition to the occurrence of prolactinoma and concomitant serum prolactin excess, the gender effect and administration of dopamine agonists are also involved in regulating intestinal microbiota and the metabolic status of the host.},
}
RevDate: 2026-06-15
Hierarchical structural component model for pathway analysis of multinomial phenotypes.
Genes & genomics, 47(8):923-933.
BACKGROUND: Many statistical methods for pathway analysis have been used to identify novel pathways from biomarkers associated with a certain disease. However, most of these methods are based on single pathway analysis and do not consider multiple pathways simultaneously. To address this issue, a hierarchical structural component model (HisCoM) was developed, which takes into account all pathways at the same time, as well as takes into consideration the correlations among them. HisCoM has been successfully applied to the analysis of continuous, count, and binary phenotypes. OBJECTIVE: In this study, our goal is to propose HisCoM-Categ by extending HisCoM for pathway analysis for both nominal or ordinal multinomial phenotypes, when the phenotypes have more than two possible unordered or ordered discrete categories. METHODS: The foundation of the proposed HisCoM-Categ is the multivariate extension of generalized linear models. Specifically, HisCoM-Categ accounts for the hierarchical structure of biomarkers and pathways, as well as the correlations that exist among pathways. RESULTS: Through the simulation study, HisCoM-Categ was shown to have higher power compared to the other existing methods. In addition, HisCoM-Categ was illustrated with two different omics datasets, including metabolomic, and metagenomic datasets. HisCoM-Categ for ordinal multinomial phenotypes was illustrated by the metabolomic and metagenomic datasets. Those applications demonstrated that HisCoM-Categ successfully identified the well-known pathways that are associated with multinomial phenotypes. CONCLUSIONS: The current study proposes a novel pathway analysis method HisCoM-Categ to identify pathways that have been associated with multinomial phenotypes.
Additional Links: PMID-40608216
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@article {pmid40608216,
year = {2025},
author = {Kamruzzaman, M and Goo, T and Park, T},
title = {Hierarchical structural component model for pathway analysis of multinomial phenotypes.},
journal = {Genes & genomics},
volume = {47},
number = {8},
pages = {923-933},
pmid = {40608216},
issn = {2092-9293},
support = {NRF-2022R1A2C1092497//National Research Foundation of Korea/ ; },
abstract = {BACKGROUND: Many statistical methods for pathway analysis have been used to identify novel pathways from biomarkers associated with a certain disease. However, most of these methods are based on single pathway analysis and do not consider multiple pathways simultaneously. To address this issue, a hierarchical structural component model (HisCoM) was developed, which takes into account all pathways at the same time, as well as takes into consideration the correlations among them. HisCoM has been successfully applied to the analysis of continuous, count, and binary phenotypes. OBJECTIVE: In this study, our goal is to propose HisCoM-Categ by extending HisCoM for pathway analysis for both nominal or ordinal multinomial phenotypes, when the phenotypes have more than two possible unordered or ordered discrete categories. METHODS: The foundation of the proposed HisCoM-Categ is the multivariate extension of generalized linear models. Specifically, HisCoM-Categ accounts for the hierarchical structure of biomarkers and pathways, as well as the correlations that exist among pathways. RESULTS: Through the simulation study, HisCoM-Categ was shown to have higher power compared to the other existing methods. In addition, HisCoM-Categ was illustrated with two different omics datasets, including metabolomic, and metagenomic datasets. HisCoM-Categ for ordinal multinomial phenotypes was illustrated by the metabolomic and metagenomic datasets. Those applications demonstrated that HisCoM-Categ successfully identified the well-known pathways that are associated with multinomial phenotypes. CONCLUSIONS: The current study proposes a novel pathway analysis method HisCoM-Categ to identify pathways that have been associated with multinomial phenotypes.},
}
RevDate: 2026-06-15
Microbial viability assessment with PMA-qPCR: challenges, opportunities, and future directions.
Archives of microbiology, 207(12):343.
Since molecular analyzes are insufficient to distinguish living and non-living cells, lead to misleading results, and dead cells also multiply their DNA/RNA, a method that can give more sensitive results was needed. PMA (propidium monoazide), which is used to prevent the DNA of dead cells from negatively affecting the experimental results, is a viability indicator that binds only to the DNA of damaged cells and prevents them from being multiplied by PCR, and was first introduced in 2006. Recently the interest in the use of PMA in many fields such as microbiome and metagenomic studies, environmental microbiology, food microbiology, antibiotic and disinfectant effectiveness tests, clinical microbiology and diagnosis, and cell culture and biotechnology has increased considerably. Therefore, the purposes of use, principles, applications in various fields and limitations of PMA have been investigated. The current review of this vitality marker, which has a history of less than 20 years, will lead to its use of many new scientific studies and will provide convenience to scientists by bringing together studies on the use of this dye.
Additional Links: PMID-41182402
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@article {pmid41182402,
year = {2025},
author = {Tekgül, ZB and Adıgüzel, A},
title = {Microbial viability assessment with PMA-qPCR: challenges, opportunities, and future directions.},
journal = {Archives of microbiology},
volume = {207},
number = {12},
pages = {343},
pmid = {41182402},
issn = {1432-072X},
abstract = {Since molecular analyzes are insufficient to distinguish living and non-living cells, lead to misleading results, and dead cells also multiply their DNA/RNA, a method that can give more sensitive results was needed. PMA (propidium monoazide), which is used to prevent the DNA of dead cells from negatively affecting the experimental results, is a viability indicator that binds only to the DNA of damaged cells and prevents them from being multiplied by PCR, and was first introduced in 2006. Recently the interest in the use of PMA in many fields such as microbiome and metagenomic studies, environmental microbiology, food microbiology, antibiotic and disinfectant effectiveness tests, clinical microbiology and diagnosis, and cell culture and biotechnology has increased considerably. Therefore, the purposes of use, principles, applications in various fields and limitations of PMA have been investigated. The current review of this vitality marker, which has a history of less than 20 years, will lead to its use of many new scientific studies and will provide convenience to scientists by bringing together studies on the use of this dye.},
}
RevDate: 2026-06-15
Impact of laparoscopic sleeve gastrectomy on gut and oral microbiota diversity, weight loss, and the metabolic outcomes.
Surgery today [Epub ahead of print].
PURPOSE: Metabolic and bariatric surgery (MBS) alters the gut microbiota (GM). Changes in oral microbiota (OM) after MBS have not yet been thoroughly investigated. In this study, we evaluated the changes in GM and OM before and after laparoscopic sleeve gastrectomy (LSG) in patients with severe obesity and investigated the relationship between improvements in GM/OM, weight loss, and the metabolic effects. METHODS: Thirty-seven severely obese patients who underwent LSG were enrolled in this study. We retrieved samples from the feces and oral mucosa from baseline to 1-year after LSG. These samples were subjected to a 16 S rRNA metagenomic analysis using a next-generation sequencer. We evaluated the significant changes in GM/OM and compared the results with clinical outcomes. RESULTS: Regarding OM diversity, g_Actinomyces (p = 0.003), o_Rothia (p = 0.020), and g_Streptococcus (p = 0.004) increased. With regard to GM, g_Slackia (p = 0.039), g_Bacillus (p = 0.030), g_Roseburia (p = 0.027), and g_Faecalibacterium (P = 0.003) increased, the proportion of p_ Firmicutes increased, and p_Bacteroidetes decreased in both groups. Changes in g_Akkermansia did not contribute to GM/OM diversity. The weight loss and remission rates of type 2 diabetes were higher in patients with increased normal oral flora and a recovery of g_Faecalibacterium in GM. CONCLUSIONS: We clarified that the LSG reconstructs GM/OM as weight loss and the metabolic effects are enhanced.
Additional Links: PMID-41661326
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Citation:
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@article {pmid41661326,
year = {2026},
author = {Umemura, A and Sasaki, A and Sasaki, D and Iizuka, A and Chiba, M and Aihara, K and Ubukata, N and Kumagai, H and Tanahashi, Y and Iwasaki, T and Ando, T and Nitta, H},
title = {Impact of laparoscopic sleeve gastrectomy on gut and oral microbiota diversity, weight loss, and the metabolic outcomes.},
journal = {Surgery today},
volume = {},
number = {},
pages = {},
pmid = {41661326},
issn = {1436-2813},
abstract = {PURPOSE: Metabolic and bariatric surgery (MBS) alters the gut microbiota (GM). Changes in oral microbiota (OM) after MBS have not yet been thoroughly investigated. In this study, we evaluated the changes in GM and OM before and after laparoscopic sleeve gastrectomy (LSG) in patients with severe obesity and investigated the relationship between improvements in GM/OM, weight loss, and the metabolic effects. METHODS: Thirty-seven severely obese patients who underwent LSG were enrolled in this study. We retrieved samples from the feces and oral mucosa from baseline to 1-year after LSG. These samples were subjected to a 16 S rRNA metagenomic analysis using a next-generation sequencer. We evaluated the significant changes in GM/OM and compared the results with clinical outcomes. RESULTS: Regarding OM diversity, g_Actinomyces (p = 0.003), o_Rothia (p = 0.020), and g_Streptococcus (p = 0.004) increased. With regard to GM, g_Slackia (p = 0.039), g_Bacillus (p = 0.030), g_Roseburia (p = 0.027), and g_Faecalibacterium (P = 0.003) increased, the proportion of p_ Firmicutes increased, and p_Bacteroidetes decreased in both groups. Changes in g_Akkermansia did not contribute to GM/OM diversity. The weight loss and remission rates of type 2 diabetes were higher in patients with increased normal oral flora and a recovery of g_Faecalibacterium in GM. CONCLUSIONS: We clarified that the LSG reconstructs GM/OM as weight loss and the metabolic effects are enhanced.},
}
RevDate: 2026-06-15
Gut Microbiota and Bile Acid Profiles as Predictors of PCOS Remission: Findings from a Sleeve Gastrectomy Treatment Study.
Obesity surgery, 36(4):1607-1620.
OBJECTIVE: To identify predictive biomarkers from the perspectives of gut microbiota and bile acid metabolites for polycystic ovary syndrome (PCOS) remission following metabolic bariatric surgery in patients with PCOS and obesity. METHODS: We conducted a one-year follow-up of patients with obesity and PCOS who underwent sleeve gastrectomy (SG) to assess their PCOS remission status. Metagenomics and bile acid metabolomics were performed and compared between the remission and non-remission groups to identify differential microbial species and bile acid metabolites. The associations between these biomarkers and PCOS remission was then evaluated using Generalized Estimating Equations (GEE) models and Receiver Operating Characteristic (ROC) analysis. RESULTS: SG led to marked improvements in metabolic parameters and hyperandrogenemia. These changes were accompanied by substantial shifts in the gut microbiome, which correlated with alterations in gonadal hormone levels. Based on PCOS outcomes, patients were categorized into remission and non-remission groups. The remission group showed a higher abundance of A. equolifaciens and Clostridium sp CAG 299, along with lower baseline circulating levels of ursodeoxycholic acid (UDCA). These factors were positively associated with PCOS remission. ROC analysis demonstrated that the combination of A. equolifaciens, Clostridium sp CAG 299, UDCA, and average follicle number yielded an AUC of 0.93 for predicting remission. CONCLUSION: A composite biomarker signature incorporating specific gut microbiota profiles, circulating UDCA levels, and ovarian follicle count shows strong potential as an effective predictor of PCOS remission after SG.
Additional Links: PMID-41764137
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@article {pmid41764137,
year = {2026},
author = {Zhao, S and Zou, Y and Wang, Z and Ye, L and Chen, Y and Cao, Z and Xu, X and Gao, A and Ying, X and Chen, M and Qin, K and Zhang, Y and Gu, W and Wang, J and Ning, G and Wang, W and Liu, R and Jin, J and Hong, J},
title = {Gut Microbiota and Bile Acid Profiles as Predictors of PCOS Remission: Findings from a Sleeve Gastrectomy Treatment Study.},
journal = {Obesity surgery},
volume = {36},
number = {4},
pages = {1607-1620},
pmid = {41764137},
issn = {1708-0428},
abstract = {OBJECTIVE: To identify predictive biomarkers from the perspectives of gut microbiota and bile acid metabolites for polycystic ovary syndrome (PCOS) remission following metabolic bariatric surgery in patients with PCOS and obesity. METHODS: We conducted a one-year follow-up of patients with obesity and PCOS who underwent sleeve gastrectomy (SG) to assess their PCOS remission status. Metagenomics and bile acid metabolomics were performed and compared between the remission and non-remission groups to identify differential microbial species and bile acid metabolites. The associations between these biomarkers and PCOS remission was then evaluated using Generalized Estimating Equations (GEE) models and Receiver Operating Characteristic (ROC) analysis. RESULTS: SG led to marked improvements in metabolic parameters and hyperandrogenemia. These changes were accompanied by substantial shifts in the gut microbiome, which correlated with alterations in gonadal hormone levels. Based on PCOS outcomes, patients were categorized into remission and non-remission groups. The remission group showed a higher abundance of A. equolifaciens and Clostridium sp CAG 299, along with lower baseline circulating levels of ursodeoxycholic acid (UDCA). These factors were positively associated with PCOS remission. ROC analysis demonstrated that the combination of A. equolifaciens, Clostridium sp CAG 299, UDCA, and average follicle number yielded an AUC of 0.93 for predicting remission. CONCLUSION: A composite biomarker signature incorporating specific gut microbiota profiles, circulating UDCA levels, and ovarian follicle count shows strong potential as an effective predictor of PCOS remission after SG.},
}
RevDate: 2026-06-15
Occurrence of Antibiotics at a Typical Livestock Farm in Northwest China: Emergence Characteristics and Ecological Risk Assessment.
Bulletin of environmental contamination and toxicology, 116(4):.
This study analyzed veterinary antibiotics (VAs) and resistance genes (ARGs) in manure and soil at a typcial livestock farm in Northwest China using LC-MS and metagenomics. Sulfonamides (SAs) were highest in chicken manure, while quinolones (QNs) dominated cattle manure and adjacent soil (172.784 ng g−1 total QNs). Transfer rates of QNs and tetracyclines from manure to soil exceeded 100%, indicating significant ecological risk via the food chain. Metagenomics revealed the tetracycline resistance gene tetA (58) dominated the soil ARG pool. Significant positive correlations (p < 0.05) existed between QN concentrations (including ciprofloxacin, lomefloxacin) and quinolone resistance genes (flu), and between soil tetracyclines and multidrug resistance genes (mul). Ecological risk modeling confirmed a high mixed contamination risk for QNs (RQ = 2.36 > 1).
Additional Links: PMID-41851512
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@article {pmid41851512,
year = {2026},
author = {Zhang, S and Yang, B and Xie, Z and Jiang, F and Liu, K},
title = {Occurrence of Antibiotics at a Typical Livestock Farm in Northwest China: Emergence Characteristics and Ecological Risk Assessment.},
journal = {Bulletin of environmental contamination and toxicology},
volume = {116},
number = {4},
pages = {},
pmid = {41851512},
issn = {1432-0800},
support = {2024TCYCQNBS03//"Tianchi Talents" Young Doctors Recruitment Program/ ; 252102321066//Key Research & Development and Promotion of Special Project (Scientific Problem Tackling) of Henan Province/ ; },
abstract = {This study analyzed veterinary antibiotics (VAs) and resistance genes (ARGs) in manure and soil at a typcial livestock farm in Northwest China using LC-MS and metagenomics. Sulfonamides (SAs) were highest in chicken manure, while quinolones (QNs) dominated cattle manure and adjacent soil (172.784 ng g−1 total QNs). Transfer rates of QNs and tetracyclines from manure to soil exceeded 100%, indicating significant ecological risk via the food chain. Metagenomics revealed the tetracycline resistance gene tetA (58) dominated the soil ARG pool. Significant positive correlations (p < 0.05) existed between QN concentrations (including ciprofloxacin, lomefloxacin) and quinolone resistance genes (flu), and between soil tetracyclines and multidrug resistance genes (mul). Ecological risk modeling confirmed a high mixed contamination risk for QNs (RQ = 2.36 > 1).},
}
RevDate: 2026-06-15
Mapping the genomic frontier: a comprehensive bibliometric analysis and thematic evolution of whole-genome sequencing for Mycobacterium tuberculosis (1994-2025).
World journal of microbiology & biotechnology, 42(4):.
Whole-genome sequencing of Mycobacterium tuberculosis (WGS-TB) has revolutionized tuberculosis research by providing high-resolution insights into drug resistance, transmission dynamics, and evolutionary pathways. However, the global research landscape, collaboration networks, and thematic evolution of WGS-TB remain underexplored. A comprehensive dataset of WGS-TB publications was retrieved from Scopus. Analyses were conducted using Bibliometrix for productivity trends, Lotka’s and Bradford’s Laws, normalized word cloud, and thematic mapping; VOSviewer for co-authorship, co-occurrence, bibliographic coupling, and unsupervised term clustering; and CiteSpace for reference co-citation analysis (RCCA) and thematic evolution. Between 1994 and 2025, WGS-TB publications exhibited exponential growth, particularly after 2015. The United States, China, and the United Kingdom were leading contributors, supported by globally connected institutions. Collaboration networks revealed strong North–South partnerships, with South Africa acting as a critical bridge. Keyword and thematic analyses identified dominant themes such as drug resistance, genomics, and epidemiology, with emerging areas including metagenomic sequencing and mutation dynamics. Bradford’s Law identified 12 core journals, while RCCA delineated clusters in drug resistance surveillance and molecular epidemiology. This study offers the first integrative mapping of WGS-TB research, illuminating its thematic evolution, global collaboration structure, and emerging directions in genomic surveillance and precision medicine.
Additional Links: PMID-41866595
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@article {pmid41866595,
year = {2026},
author = {Taha, MME and Abdelwahab, SI and Binjomah, AZ and Memish, Z and Sahli, KA and Qadri, M and Alarifi, A and Khardali, A and Farasani, A and Madkhali, F and Moshi, JM and Alsaadi, KH and Alshahrani, S},
title = {Mapping the genomic frontier: a comprehensive bibliometric analysis and thematic evolution of whole-genome sequencing for Mycobacterium tuberculosis (1994-2025).},
journal = {World journal of microbiology & biotechnology},
volume = {42},
number = {4},
pages = {},
pmid = {41866595},
issn = {1573-0972},
abstract = {Whole-genome sequencing of Mycobacterium tuberculosis (WGS-TB) has revolutionized tuberculosis research by providing high-resolution insights into drug resistance, transmission dynamics, and evolutionary pathways. However, the global research landscape, collaboration networks, and thematic evolution of WGS-TB remain underexplored. A comprehensive dataset of WGS-TB publications was retrieved from Scopus. Analyses were conducted using Bibliometrix for productivity trends, Lotka’s and Bradford’s Laws, normalized word cloud, and thematic mapping; VOSviewer for co-authorship, co-occurrence, bibliographic coupling, and unsupervised term clustering; and CiteSpace for reference co-citation analysis (RCCA) and thematic evolution. Between 1994 and 2025, WGS-TB publications exhibited exponential growth, particularly after 2015. The United States, China, and the United Kingdom were leading contributors, supported by globally connected institutions. Collaboration networks revealed strong North–South partnerships, with South Africa acting as a critical bridge. Keyword and thematic analyses identified dominant themes such as drug resistance, genomics, and epidemiology, with emerging areas including metagenomic sequencing and mutation dynamics. Bradford’s Law identified 12 core journals, while RCCA delineated clusters in drug resistance surveillance and molecular epidemiology. This study offers the first integrative mapping of WGS-TB research, illuminating its thematic evolution, global collaboration structure, and emerging directions in genomic surveillance and precision medicine.},
}
RevDate: 2026-06-15
Bioremediation of enrofloxacin and modulation of nitrogen cycling in a simulated aquaculture system by the fungus Cladosporium cladosporioides 11.
World journal of microbiology & biotechnology, 42(4):.
While microbial bioremediation is a promising strategy for antibiotic removal, the potential of fungi in mitigating antibiotic contamination and its associated ecological impacts in aquaculture systems remains largely unexplored. This study evaluated the bioremediation efficacy of the fungus Cladosporium cladosporioides 11 (CC11) in a simulated aquaculture ecosystem. The introduction of CC11 significantly accelerated enrofloxacin (ENR) removal in the aquaculture system and mitigated ENR bioaccumulation in crucian carp. Meanwhile, CC11 application notably lowered the accumulation of total nitrogen and ammonium nitrogen in the water column. Metagenomic analysis revealed that CC11 helped maintain a more active nitrogen-cycling microbial community, sustaining higher abundances of key genes involved in nitrogen fixation (nifB/K/T/Z) and assimilatory nitrate reduction (nasA/C/E/B/D) under ENR stress. Furthermore, CC11 restored specific bacterial taxa correlated with these functional genes, including methylotrophs associated with nif genes and Comamonadaceae members linked to nas genes, thereby reinforcing the functional network for nitrogen transformation. These findings demonstrate that CC11 acts as a multifunctional bioremediation agent, capable of simultaneously enhancing antibiotic removal and regulating nitrogen dynamics, offering a sustainable strategy for managing ENR pollution in aquaculture environments.
Additional Links: PMID-41903015
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@article {pmid41903015,
year = {2026},
author = {Ma, N and Zhang, H and Yuan, L and Lian, P and Yang, W and Huang, Y},
title = {Bioremediation of enrofloxacin and modulation of nitrogen cycling in a simulated aquaculture system by the fungus Cladosporium cladosporioides 11.},
journal = {World journal of microbiology & biotechnology},
volume = {42},
number = {4},
pages = {},
pmid = {41903015},
issn = {1573-0972},
support = {NO. 2025A005//Central Public-interest Scientific Institution Basal Research Fund, CAFS/ ; NO.2023TD12//Central Public-interest Scientific Institution Basal Research Fund, CAFS/ ; NO.2023TD12//Central Public-interest Scientific Institution Basal Research Fund, CAFS/ ; NO.2023TD12//Central Public-interest Scientific Institution Basal Research Fund, CAFS/ ; NO.2023TD12//Central Public-interest Scientific Institution Basal Research Fund, CAFS/ ; NO.2023TD12//Central Public-interest Scientific Institution Basal Research Fund, CAFS/ ; },
abstract = {While microbial bioremediation is a promising strategy for antibiotic removal, the potential of fungi in mitigating antibiotic contamination and its associated ecological impacts in aquaculture systems remains largely unexplored. This study evaluated the bioremediation efficacy of the fungus Cladosporium cladosporioides 11 (CC11) in a simulated aquaculture ecosystem. The introduction of CC11 significantly accelerated enrofloxacin (ENR) removal in the aquaculture system and mitigated ENR bioaccumulation in crucian carp. Meanwhile, CC11 application notably lowered the accumulation of total nitrogen and ammonium nitrogen in the water column. Metagenomic analysis revealed that CC11 helped maintain a more active nitrogen-cycling microbial community, sustaining higher abundances of key genes involved in nitrogen fixation (nifB/K/T/Z) and assimilatory nitrate reduction (nasA/C/E/B/D) under ENR stress. Furthermore, CC11 restored specific bacterial taxa correlated with these functional genes, including methylotrophs associated with nif genes and Comamonadaceae members linked to nas genes, thereby reinforcing the functional network for nitrogen transformation. These findings demonstrate that CC11 acts as a multifunctional bioremediation agent, capable of simultaneously enhancing antibiotic removal and regulating nitrogen dynamics, offering a sustainable strategy for managing ENR pollution in aquaculture environments.},
}
RevDate: 2026-06-15
From hidden allies to precision symbionts: unleashing endophytes for sustainable agroecosystems.
World journal of microbiology & biotechnology, 42(4):.
Plants, together with their resident endophytes, constitute a functional holobiont whose integrated traits enable plant growth, stress resilience, disease resistance, and ecosystem remediation. This review discusses advances across ten converging domains that are reshaping research and applications of endophytes, including the following: genomics and metagenomics that identify core genes for colonization, nitrogen fixation, hormone modulation, and stress adaptation; functional genomics and systems biology deciphering host-microbe signaling networks; synthetic biology and CRISPR-based tools for the rational improvement of beneficial traits; microbiome engineering aimed at designing and stabilizing endophytic consortia; multi-omics integration connecting genomic, transcriptomic, proteomic, and metabolomic layers during colonization and under stress; environmental and climatic factors shaping endosphere diversity; bioinformatic platforms predicting biosynthetic gene clusters, secretomes, and metabolic potential; and agricultural and environmental applications in biocontrol and bioremediation. Remaining challenges are the uncultured majority of endophytes, context-dependent transitions between mutualism and pathogenicity, limited field validation, and evolving biosafety frameworks. Thus, the forward framework developed here emphasizes the importance of standard strain benchmarking, causal multi-omics workflows, synthetic community design, and multisite agronomic trials. For their part, endophytes form a scalable, climate-resilient platform for the dual purposes of sustainable agriculture and environmental restoration. In the process, endophytes are emerging as a tractable and scalable foundation for climate-resilient biotechnology, wherein molecular innovation connects with field-level sustainability.
Additional Links: PMID-41910822
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@article {pmid41910822,
year = {2026},
author = {Kumar, V and Nautiyal, CS},
title = {From hidden allies to precision symbionts: unleashing endophytes for sustainable agroecosystems.},
journal = {World journal of microbiology & biotechnology},
volume = {42},
number = {4},
pages = {},
pmid = {41910822},
issn = {1573-0972},
abstract = {Plants, together with their resident endophytes, constitute a functional holobiont whose integrated traits enable plant growth, stress resilience, disease resistance, and ecosystem remediation. This review discusses advances across ten converging domains that are reshaping research and applications of endophytes, including the following: genomics and metagenomics that identify core genes for colonization, nitrogen fixation, hormone modulation, and stress adaptation; functional genomics and systems biology deciphering host-microbe signaling networks; synthetic biology and CRISPR-based tools for the rational improvement of beneficial traits; microbiome engineering aimed at designing and stabilizing endophytic consortia; multi-omics integration connecting genomic, transcriptomic, proteomic, and metabolomic layers during colonization and under stress; environmental and climatic factors shaping endosphere diversity; bioinformatic platforms predicting biosynthetic gene clusters, secretomes, and metabolic potential; and agricultural and environmental applications in biocontrol and bioremediation. Remaining challenges are the uncultured majority of endophytes, context-dependent transitions between mutualism and pathogenicity, limited field validation, and evolving biosafety frameworks. Thus, the forward framework developed here emphasizes the importance of standard strain benchmarking, causal multi-omics workflows, synthetic community design, and multisite agronomic trials. For their part, endophytes form a scalable, climate-resilient platform for the dual purposes of sustainable agriculture and environmental restoration. In the process, endophytes are emerging as a tractable and scalable foundation for climate-resilient biotechnology, wherein molecular innovation connects with field-level sustainability.},
}
RevDate: 2026-06-15
Exploratory profiling of microbial communities associated with tapping panel dryness in Hevea brasiliensis.
Archives of microbiology, 208(6):.
Tapping Panel Dryness (TPD) is a complex physiological disorder in Hevea brasiliensis that leads to the cessation of latex flow, causing significant economic loss, yet its underlying cause remains unclear. Anatomical investigation of bark samples collected from TPD-affected samples exhibited deformed latex vessels, blocked sieve tubes, and DNA-containing bodies within phloem elements. Metagenomic profiling indicated largely similar microbial composition and diversity between healthy and TPD-affected bark samples, except for the presence of low-abundance taxa such as phytoplasma only in affected samples. However, predicted metabolic pathways differed significantly between healthy and TPD samples. The combined anatomical, cytological, and molecular evidences in the current study supports the potential involvement of a biotic factor in the etiology of TPD.
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@article {pmid41944841,
year = {2026},
author = {Tom, A and Kurian, PS and Philip, S and Mathew, D and Vijayaraghavan, R and Sumbula, V and Varkey, ME},
title = {Exploratory profiling of microbial communities associated with tapping panel dryness in Hevea brasiliensis.},
journal = {Archives of microbiology},
volume = {208},
number = {6},
pages = {},
pmid = {41944841},
issn = {1432-072X},
abstract = {Tapping Panel Dryness (TPD) is a complex physiological disorder in Hevea brasiliensis that leads to the cessation of latex flow, causing significant economic loss, yet its underlying cause remains unclear. Anatomical investigation of bark samples collected from TPD-affected samples exhibited deformed latex vessels, blocked sieve tubes, and DNA-containing bodies within phloem elements. Metagenomic profiling indicated largely similar microbial composition and diversity between healthy and TPD-affected bark samples, except for the presence of low-abundance taxa such as phytoplasma only in affected samples. However, predicted metabolic pathways differed significantly between healthy and TPD samples. The combined anatomical, cytological, and molecular evidences in the current study supports the potential involvement of a biotic factor in the etiology of TPD.},
}
RevDate: 2026-06-15
Characterizing Oral Microbiome and Periodontal Disease in Oral HPV-Positive (COMP-HPV) individuals with HIV: an observational longitudinal study protocol.
BMC oral health pii:10.1186/s12903-026-08193-x [Epub ahead of print].
BACKGROUND: Human papillomavirus (HPV) is a major cause of oropharyngeal and other cancers, occurs more frequently among people with HIV (PWH). Despite antiretroviral therapy, HPV-related cancer incidence remains elevated in this group. Oral dysbiosis in PWH may impair mucosal immunity, promoting HPV persistence and inflammation. Periodontal disease, frequently observed in PWH, further contributes to microbial imbalance and immune dysregulation, increasing susceptibility to oral HPV infection. This study investigates the relationship among oral microbiome composition, periodontal disease and oral HPV infection behavior in PWH, considering immunologic and social determinants of health. METHODS: The characterizing oral microbiome and periodontal disease in oral HPV-positive individuals (COMP-HPV), an observational longitudinal study will enroll 500 PWH and follow them up for two years. Oral rinse for HPV testing and periodontal assessment will be collected every six months; saliva for inflammatory markers, oral rinse for microbiome and oral cytobrush for immunological profiling will be collected annually. Immune profiling will include high-dimensional flow cytometry and 10X RNA-sequencing to characterize innate and adaptive immune subsets, with emphasis on HLA-DR–positive populations, enabling evaluation of oral immune modulation during HPV infection. The study has four specific aims such as to examine associations between oral microbiome composition (16S and metagenomics) and oral HPV infection, including prevalence, incidence, persistence, and clearance; to assess the impact of periodontal disease on oral HPV infection and investigate whether the oral microbiome mediates this relationship; to determine how oral microbiome composition influences immunological responses in HPV-positive PWH and to evaluate the role of social determinants on oral microbiome composition and HPV infection. Data from this longitudinal study will be used to understand the natural history of oral HPV infection, the interplay with periodontal disease, microbial alterations, and immunological changes, providing evidence to guide interventions for reducing HPV-associated disease in PWH. TRIAL REGISTRATION NUMBER: Not applicable. DISCUSSION: The COMP-HPV study aims to contribute to the body of research designed to investigate mechanisms underlying oral HPV infection among PWH to improve immune responses to reduce HPV infection and relevant carcinoma.
Additional Links: PMID-41981555
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@article {pmid41981555,
year = {2026},
author = {Bangera, SR and Subbiah, R and Govindaraj, S and Ibegbu, C and Reznik, D and Read, TD and Hartman, TJ and Paul, S and Torres-Patarroyo, N and Lymon, KJ and Ciers-Davis, NA and Nguyen, ML and Bruner, DW and Flowers, L and Velu, V and Xiao, C},
title = {Characterizing Oral Microbiome and Periodontal Disease in Oral HPV-Positive (COMP-HPV) individuals with HIV: an observational longitudinal study protocol.},
journal = {BMC oral health},
volume = {},
number = {},
pages = {},
doi = {10.1186/s12903-026-08193-x},
pmid = {41981555},
issn = {1472-6831},
support = {P51 OD011132/CD/ODCDC CDC HHS/United States ; R01 DE032243/DE/NIDCR NIH HHS/United States ; P30 AI050409/AI/NIAID NIH HHS/United States ; R01 CA285198/CA/NCI NIH HHS/United States ; },
abstract = {BACKGROUND: Human papillomavirus (HPV) is a major cause of oropharyngeal and other cancers, occurs more frequently among people with HIV (PWH). Despite antiretroviral therapy, HPV-related cancer incidence remains elevated in this group. Oral dysbiosis in PWH may impair mucosal immunity, promoting HPV persistence and inflammation. Periodontal disease, frequently observed in PWH, further contributes to microbial imbalance and immune dysregulation, increasing susceptibility to oral HPV infection. This study investigates the relationship among oral microbiome composition, periodontal disease and oral HPV infection behavior in PWH, considering immunologic and social determinants of health. METHODS: The characterizing oral microbiome and periodontal disease in oral HPV-positive individuals (COMP-HPV), an observational longitudinal study will enroll 500 PWH and follow them up for two years. Oral rinse for HPV testing and periodontal assessment will be collected every six months; saliva for inflammatory markers, oral rinse for microbiome and oral cytobrush for immunological profiling will be collected annually. Immune profiling will include high-dimensional flow cytometry and 10X RNA-sequencing to characterize innate and adaptive immune subsets, with emphasis on HLA-DR–positive populations, enabling evaluation of oral immune modulation during HPV infection. The study has four specific aims such as to examine associations between oral microbiome composition (16S and metagenomics) and oral HPV infection, including prevalence, incidence, persistence, and clearance; to assess the impact of periodontal disease on oral HPV infection and investigate whether the oral microbiome mediates this relationship; to determine how oral microbiome composition influences immunological responses in HPV-positive PWH and to evaluate the role of social determinants on oral microbiome composition and HPV infection. Data from this longitudinal study will be used to understand the natural history of oral HPV infection, the interplay with periodontal disease, microbial alterations, and immunological changes, providing evidence to guide interventions for reducing HPV-associated disease in PWH. TRIAL REGISTRATION NUMBER: Not applicable. DISCUSSION: The COMP-HPV study aims to contribute to the body of research designed to investigate mechanisms underlying oral HPV infection among PWH to improve immune responses to reduce HPV infection and relevant carcinoma.},
}
RevDate: 2026-06-15
Genome characterization and environmental DNA-based detection of a novel adenovirus from red seabream (Pagrus major).
Archives of virology, 171(5):.
A novel piscine adenovirus, Pagrus major adenovirus 1 (PmAdV-1), was identified in red seabream (Pagrus major) by metagenomic sequencing. The 29,519 bp genome encodes 22 predicted open reading frames and exhibits a unique organization, with the fiber gene positioned upstream of the conserved adenovirus gene cluster. Phylogenetic analyses indicate that PmAdV-1 forms a sister lineage to red-eared slider adenovirus 1 within a clade of fish and reptilian adenoviruses, but its assignment to the genus Testadenovirus remains uncertain. A virus-specific qPCR assay was developed to monitor PmAdV-1 in environmental DNA from rearing seawater. Viral loads transiently increased in some juvenile tanks without marked mortality. These findings expand current knowledge of fish adenovirus diversity.
Additional Links: PMID-41986587
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@article {pmid41986587,
year = {2026},
author = {Ishibashi, N and Akase, Y and Ito, A and Kishimoto, K and Watanabe, S and Yokoyama, H and Mekata, T},
title = {Genome characterization and environmental DNA-based detection of a novel adenovirus from red seabream (Pagrus major).},
journal = {Archives of virology},
volume = {171},
number = {5},
pages = {},
pmid = {41986587},
issn = {1432-8798},
support = {25K09243//JSPS KAKENHI/ ; },
abstract = {A novel piscine adenovirus, Pagrus major adenovirus 1 (PmAdV-1), was identified in red seabream (Pagrus major) by metagenomic sequencing. The 29,519 bp genome encodes 22 predicted open reading frames and exhibits a unique organization, with the fiber gene positioned upstream of the conserved adenovirus gene cluster. Phylogenetic analyses indicate that PmAdV-1 forms a sister lineage to red-eared slider adenovirus 1 within a clade of fish and reptilian adenoviruses, but its assignment to the genus Testadenovirus remains uncertain. A virus-specific qPCR assay was developed to monitor PmAdV-1 in environmental DNA from rearing seawater. Viral loads transiently increased in some juvenile tanks without marked mortality. These findings expand current knowledge of fish adenovirus diversity.},
}
RevDate: 2026-06-15
Mesorhizobium inoculation and Water-nitrogen regimes enhance Potato-chickpea intercropping performance and Rhizosphere microbiome diversity.
World journal of microbiology & biotechnology, 42(5):.
Increasing water scarcity poses significant threats to crop production and agricultural sustainability. Water deficit and the environmental impacts of synthetic nitrogen fertilization necessitate the development of sustainable cropping systems that enhance resource use efficiency while mitigating climate and economic risks. This study investigates the effects of Mesorhizobium ciceri inoculation (CMG6 strain (SI-DP 40653)), varying water–nitrogen regimes, and a potato-chickpea intercropping system (IC) on plant performance, metabolic responses, rhizospheric microbial diversity. Field trials, located in northeastern Tunisia, showed that IC combined with efficient M. ciceri inoculation significantly outperformed sole cropping (SC) across all physiological parameters. Under standard conditions, this synergy bolstered chickpea biomass and photosynthetic capacity. Notably, under reduced nitrogen input, inoculated intercropping (IC) boosted chickpea shoot biomass by more than twofold compared with sole cropping (SC). Intercropping also improved drought resilience, reducing stress-induced metabolic decline by approximately 40% relative to monocropping systems. Secondary metabolite production was stimulated, with higher accumulation of polyphenols and tannins observed particularly under reduced nitrogen conditions in inoculated systems. Additionally, intercropping improved potato productivity under low-nitrogen conditions while maintaining stable yields under drought stress. Metagenomic analysis showed that water stress accounted for approximately 22% of microbial community variation. However, intercropping and inoculation reshaped rhizosphere communities by enhancing the abundance and diversity of beneficial bacterial groups, particularly Bacilli, and buffering drought-induced shifts. These results emphasized the synergistic benefits of IC and Rhizobium inoculation in improving crop productivity, stress resilience, and soil health while reducing reliance on synthetic inputs.
Additional Links: PMID-41991788
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@article {pmid41991788,
year = {2026},
author = {Imran, H and Nouha, F and Wael, T and Haroun, BA and Wissal, M and Thouraya, BH and Darine, T},
title = {Mesorhizobium inoculation and Water-nitrogen regimes enhance Potato-chickpea intercropping performance and Rhizosphere microbiome diversity.},
journal = {World journal of microbiology & biotechnology},
volume = {42},
number = {5},
pages = {},
pmid = {41991788},
issn = {1573-0972},
abstract = {Increasing water scarcity poses significant threats to crop production and agricultural sustainability. Water deficit and the environmental impacts of synthetic nitrogen fertilization necessitate the development of sustainable cropping systems that enhance resource use efficiency while mitigating climate and economic risks. This study investigates the effects of Mesorhizobium ciceri inoculation (CMG6 strain (SI-DP 40653)), varying water–nitrogen regimes, and a potato-chickpea intercropping system (IC) on plant performance, metabolic responses, rhizospheric microbial diversity. Field trials, located in northeastern Tunisia, showed that IC combined with efficient M. ciceri inoculation significantly outperformed sole cropping (SC) across all physiological parameters. Under standard conditions, this synergy bolstered chickpea biomass and photosynthetic capacity. Notably, under reduced nitrogen input, inoculated intercropping (IC) boosted chickpea shoot biomass by more than twofold compared with sole cropping (SC). Intercropping also improved drought resilience, reducing stress-induced metabolic decline by approximately 40% relative to monocropping systems. Secondary metabolite production was stimulated, with higher accumulation of polyphenols and tannins observed particularly under reduced nitrogen conditions in inoculated systems. Additionally, intercropping improved potato productivity under low-nitrogen conditions while maintaining stable yields under drought stress. Metagenomic analysis showed that water stress accounted for approximately 22% of microbial community variation. However, intercropping and inoculation reshaped rhizosphere communities by enhancing the abundance and diversity of beneficial bacterial groups, particularly Bacilli, and buffering drought-induced shifts. These results emphasized the synergistic benefits of IC and Rhizobium inoculation in improving crop productivity, stress resilience, and soil health while reducing reliance on synthetic inputs.},
}
RevDate: 2026-06-15
Gene Exchange Mechanisms in Natural and Engineered Probiotics Within the Human Gut Implications for Antibiotic Resistance and Metabolic Modulation.
Probiotics and antimicrobial proteins [Epub ahead of print].
The human gut microbiome is a dynamic and densely populated ecosystem where microbial gene exchange plays a central role in shaping both ecological interactions and host physiology. This review critically examines the mechanisms and implications of horizontal gene transfer (HGT) among natural and engineered probiotics within the human gut, with a specific focus on antibiotic resistance dissemination and metabolic modulation. We provide an in-depth analysis of the molecular pathways of conjugation, transformation, and transduction under anaerobic gut conditions, highlighting their roles in the spread of mobile genetic elements, including antibiotic resistance genes (ARGs) and functional metabolic traits. Special emphasis is placed on the dual nature of gene exchange: while beneficial traits such as vitamin biosynthesis and polysaccharide degradation can be horizontally acquired to enhance probiotic efficacy and host-microbe symbiosis, the uncontrolled dissemination of ARGs or synthetic constructs poses significant clinical and ecological risks. Through a synthesis of recent findings from metagenomics, microbial ecology, and synthetic biology, we explore how natural probiotics may act as reservoirs of ARGs, and how engineered strains—if not properly contained—may contribute to genetic instability in the gut. We also evaluate current containment strategies such as chromosomal integration, kill switches, auxotrophy, and orthogonal circuit design to limit horizontal spread, alongside emerging tools for in situ gene transfer monitoring. Finally, we discuss regulatory challenges and propose a context-dependent risk assessment framework in which the consequences of probiotic gene exchange are determined by cargo properties, host ecological niche, gut inflammatory status, and biocontainment design.
Additional Links: PMID-42020676
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@article {pmid42020676,
year = {2026},
author = {Purohit, HV and Chakraborty, J and Kothari, RK and Bhatt, AR},
title = {Gene Exchange Mechanisms in Natural and Engineered Probiotics Within the Human Gut Implications for Antibiotic Resistance and Metabolic Modulation.},
journal = {Probiotics and antimicrobial proteins},
volume = {},
number = {},
pages = {},
pmid = {42020676},
issn = {1867-1314},
abstract = {The human gut microbiome is a dynamic and densely populated ecosystem where microbial gene exchange plays a central role in shaping both ecological interactions and host physiology. This review critically examines the mechanisms and implications of horizontal gene transfer (HGT) among natural and engineered probiotics within the human gut, with a specific focus on antibiotic resistance dissemination and metabolic modulation. We provide an in-depth analysis of the molecular pathways of conjugation, transformation, and transduction under anaerobic gut conditions, highlighting their roles in the spread of mobile genetic elements, including antibiotic resistance genes (ARGs) and functional metabolic traits. Special emphasis is placed on the dual nature of gene exchange: while beneficial traits such as vitamin biosynthesis and polysaccharide degradation can be horizontally acquired to enhance probiotic efficacy and host-microbe symbiosis, the uncontrolled dissemination of ARGs or synthetic constructs poses significant clinical and ecological risks. Through a synthesis of recent findings from metagenomics, microbial ecology, and synthetic biology, we explore how natural probiotics may act as reservoirs of ARGs, and how engineered strains—if not properly contained—may contribute to genetic instability in the gut. We also evaluate current containment strategies such as chromosomal integration, kill switches, auxotrophy, and orthogonal circuit design to limit horizontal spread, alongside emerging tools for in situ gene transfer monitoring. Finally, we discuss regulatory challenges and propose a context-dependent risk assessment framework in which the consequences of probiotic gene exchange are determined by cargo properties, host ecological niche, gut inflammatory status, and biocontainment design.},
}
RevDate: 2026-06-15
Warming responses, antibiosis potentials, and ecological implications of cryo-adapted copiotrophs from a Trans-Himalayan lake-desert ecosystem.
Archives of microbiology, 208(7):.
A Trans-Himalayan lake-desert ecosystem was explored for the low-to-high temperature adaptations of copiotrophic psychrophiles having potentials for substantive carbon remineralization under natural and/or anthropogenically-influenced conditions of high organic matter delivery to the environment. Overall 27 bacterial species were isolated from the brackish-water and sediment-surface of Tso Moriri (a massive lake on the Changthang plateau that remains frozen for approximately one third of the year), and the fine talus covering a lake-side rocky mountain. In Luria broth (LB), all isolates grew at 4 °C and 15 °C; at -10 °C, 13 could grow while others remained only metabolically-active. Catabolizing different complex-organic-compounds, all isolates achieved considerable growth at 4 °C; 20 accomplished low growth at -10 °C. LB-based growth dwindled with rising temperature: 23, 11, and none of the isolates grew at 28 °C, 37 °C, and 42 °C respectively. In agar-overlay assays, most actinobacterial isolates inhibited other mesophilic bacteria. The isolates’ genomes, and their habitats’ metagenomes, encompassed diverse genes for extreme-temperature adaptation, carbohydrate catabolism, antibiosis and antibiotic-resistance. All in-vitro findings collectively engender the following hypothesis, via contextual inferences pending field-study-based validations. Warming-induced cessation of organotrophic growth, within high-altitude cryospheres, would curb the production of simple-fatty-acids, CO2 and N2O. Short-supply of acetate and CO2 would, in turn, cut-back methanogenesis. Such negative-feedback control of greenhouse gas production at the micro-habitat level can add-up in the biome-scale to mitigate broader environmental warming; it, however, endangers the ecosystem from thermally-better-adapted foreign microbes that can usher positive-feedback cycles of warming. In the latter scenario, antibiosis potentials of native actinobacteria become pivotal to microbiome protection.
Additional Links: PMID-42043563
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@article {pmid42043563,
year = {2026},
author = {Chatterjee, S and Dutta, S and Ghosh, J and Saha, S and Mondal, M and Sarkar, J and Mondal, N and Ghosh, W},
title = {Warming responses, antibiosis potentials, and ecological implications of cryo-adapted copiotrophs from a Trans-Himalayan lake-desert ecosystem.},
journal = {Archives of microbiology},
volume = {208},
number = {7},
pages = {},
pmid = {42043563},
issn = {1432-072X},
support = {Intramural Faculty Grant//Bose Institute/ ; },
abstract = {A Trans-Himalayan lake-desert ecosystem was explored for the low-to-high temperature adaptations of copiotrophic psychrophiles having potentials for substantive carbon remineralization under natural and/or anthropogenically-influenced conditions of high organic matter delivery to the environment. Overall 27 bacterial species were isolated from the brackish-water and sediment-surface of Tso Moriri (a massive lake on the Changthang plateau that remains frozen for approximately one third of the year), and the fine talus covering a lake-side rocky mountain. In Luria broth (LB), all isolates grew at 4 °C and 15 °C; at -10 °C, 13 could grow while others remained only metabolically-active. Catabolizing different complex-organic-compounds, all isolates achieved considerable growth at 4 °C; 20 accomplished low growth at -10 °C. LB-based growth dwindled with rising temperature: 23, 11, and none of the isolates grew at 28 °C, 37 °C, and 42 °C respectively. In agar-overlay assays, most actinobacterial isolates inhibited other mesophilic bacteria. The isolates’ genomes, and their habitats’ metagenomes, encompassed diverse genes for extreme-temperature adaptation, carbohydrate catabolism, antibiosis and antibiotic-resistance. All in-vitro findings collectively engender the following hypothesis, via contextual inferences pending field-study-based validations. Warming-induced cessation of organotrophic growth, within high-altitude cryospheres, would curb the production of simple-fatty-acids, CO2 and N2O. Short-supply of acetate and CO2 would, in turn, cut-back methanogenesis. Such negative-feedback control of greenhouse gas production at the micro-habitat level can add-up in the biome-scale to mitigate broader environmental warming; it, however, endangers the ecosystem from thermally-better-adapted foreign microbes that can usher positive-feedback cycles of warming. In the latter scenario, antibiosis potentials of native actinobacteria become pivotal to microbiome protection.},
}
RevDate: 2026-06-15
SCFAs inhibited NETosis to alleviate lung inflammation in COPD: a potential role for GPR43.
Respiratory research pii:10.1186/s12931-026-03688-1 [Epub ahead of print].
BACKGROUND: Chronic obstructive pulmonary disease (COPD) is the third leading cause of death worldwide, and poses a significant socioeconomic burden attributable to its high mortality and morbidity. Short-chain fatty acids (SCFAs), as the key metabolites produced by gut microbiota, have been considered to be involved in the regulation of pulmonary inflammation. However, the underlying bridging mechanisms through the gut-lung axis remain elusive. METHODS: To delineate cellular heterogeneity during COPD progression, we profiled lung tissues from rats at distinct stages (Days 0, 7, 14, and 28) using scRNA-seq, followed by bulk transcriptomic analysis to pinpoint critical dysregulated pathways. Gas chromatography-mass spectrometry (GC-MS) was employed to quantify the differential SCFA levels. The protective effects of SCFAs against pulmonary inflammation in COPD were evaluated via pulmonary function testing, HE staining, and ELISA. Flow cytometry, Western blotting, immunofluorescence and scanning electron microscopy were employed to explore the mechanism of SCFAs regulating neutrophil extracellular trap (NET) formation in vitro and in vivo. Finally, metagenomic sequencing was applied to investigate the impact of SCFAs on gut microbial communities. RESULTS: ScRNA-seq demonstrated the intense immune activation during the progress of COPD, characterized by neutrophil accumulation exceeding 50% of cellular composition on the 14th day in the lung tissue. Transcriptomic analysis further pinpointed neutrophil-driven NETosis as the key pathogenic pathway. The results of GC-MS showed the significant downregulation of SCFAs represented by acetic acid and propionic acid in COPD. Exogenous supplementation with SCFAs (acetic acid and propionic acid) activated the key receptor GPR43, suppressed the expression of NETs marker proteins (NE, MPO, and CitH3) and attenuated inflammatory cytokine levels in COPD rats. Rescue experiments with NETs inducers/inhibitors and GPR43 agonists/antagonists further elucidated the regulatory mechanisms of SCFAs/GPR43 axis in COPD inflammation. Furthermore, metagenomic sequencing revealed that SCFAs reshaped the intestinal flora in COPD by enriching the abundance of beneficial bacteria. CONCLUSION: As one of the key receptors for gut microbiota-derived SCFAs, GPR43 may be involved in the process by which SCFAs alleviate pulmonary inflammation in COPD through regulating NET formation. These findings provide valuable experimental evidence for promoting the clinical translation of therapeutic strategies characterized by gut microbiota and their metabolites.
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@article {pmid42046064,
year = {2026},
author = {Tang, S and Cai, L and Hao, Y and Jiang, Q and Luan, X and Fang, X and Li, Z and Zhu, J},
title = {SCFAs inhibited NETosis to alleviate lung inflammation in COPD: a potential role for GPR43.},
journal = {Respiratory research},
volume = {},
number = {},
pages = {},
doi = {10.1186/s12931-026-03688-1},
pmid = {42046064},
issn = {1465-993X},
support = {82575021//the National Natural Science Foundation of China/ ; 2408085MH230//Anhui Provincial Natural Science Foundation/ ; 2022AH020044//the Science Fund for Distinguished Young Scholars in Universities of Anhui Province/ ; 2024AKLCMF04//the Foundation of Anhui Provincial Key Laboratory of Chinese Medicinal Formula/ ; },
abstract = {BACKGROUND: Chronic obstructive pulmonary disease (COPD) is the third leading cause of death worldwide, and poses a significant socioeconomic burden attributable to its high mortality and morbidity. Short-chain fatty acids (SCFAs), as the key metabolites produced by gut microbiota, have been considered to be involved in the regulation of pulmonary inflammation. However, the underlying bridging mechanisms through the gut-lung axis remain elusive. METHODS: To delineate cellular heterogeneity during COPD progression, we profiled lung tissues from rats at distinct stages (Days 0, 7, 14, and 28) using scRNA-seq, followed by bulk transcriptomic analysis to pinpoint critical dysregulated pathways. Gas chromatography-mass spectrometry (GC-MS) was employed to quantify the differential SCFA levels. The protective effects of SCFAs against pulmonary inflammation in COPD were evaluated via pulmonary function testing, HE staining, and ELISA. Flow cytometry, Western blotting, immunofluorescence and scanning electron microscopy were employed to explore the mechanism of SCFAs regulating neutrophil extracellular trap (NET) formation in vitro and in vivo. Finally, metagenomic sequencing was applied to investigate the impact of SCFAs on gut microbial communities. RESULTS: ScRNA-seq demonstrated the intense immune activation during the progress of COPD, characterized by neutrophil accumulation exceeding 50% of cellular composition on the 14th day in the lung tissue. Transcriptomic analysis further pinpointed neutrophil-driven NETosis as the key pathogenic pathway. The results of GC-MS showed the significant downregulation of SCFAs represented by acetic acid and propionic acid in COPD. Exogenous supplementation with SCFAs (acetic acid and propionic acid) activated the key receptor GPR43, suppressed the expression of NETs marker proteins (NE, MPO, and CitH3) and attenuated inflammatory cytokine levels in COPD rats. Rescue experiments with NETs inducers/inhibitors and GPR43 agonists/antagonists further elucidated the regulatory mechanisms of SCFAs/GPR43 axis in COPD inflammation. Furthermore, metagenomic sequencing revealed that SCFAs reshaped the intestinal flora in COPD by enriching the abundance of beneficial bacteria. CONCLUSION: As one of the key receptors for gut microbiota-derived SCFAs, GPR43 may be involved in the process by which SCFAs alleviate pulmonary inflammation in COPD through regulating NET formation. These findings provide valuable experimental evidence for promoting the clinical translation of therapeutic strategies characterized by gut microbiota and their metabolites.},
}
RevDate: 2026-06-15
Co-occurrence of viral encephalitis and autoimmune encephalitis: overlapping peaks encephalitis or coincidence condition?.
BMC neurology, 26(1):.
BACKGROUND: Many studies have shown that autoimmune encephalitis (AE) can occur after viral encephalitis. However, no reports have focused on the interval between viral infection peaks and probable AE peaks. OBJECTIVES: To assess the possibility that viral infection and neuronal autoantibodies are concomitantly present within a 72-hour interval in patients diagnosed with encephalitis. METHODS: We retrospectively analyzed encephalitis patients admitted to our institution between 2018 and 2025. The inclusion criteria were as follows: the interval from the initial onset of symptoms to serum and cerebrospinal fluid (CSF) sampling was less than 72 h, with concomitant detection of viral central nervous system (CNS) infection and neuronal autoantibodies. Viral detection was performed using metagenomic next-generation sequencing (mNGS), whereas neuronal autoantibodies were measured by cytometric bead array (CBA). RESULTS: Among 347 patients with encephalitis, fifteen patients had concomitant detection of viral central nervous system (CNS) infection and neuronal autoantibodies within 72 h after the initial onset of symptoms.These fifteen patients presented with prominent clinical manifestations including headache, seizures, psychosis and memory disorders. Cerebrospinal fluid (CSF) analysis revealed features consistent with aseptic or viral encephalitis. A variety of neuronal autoantibodies were identified, namely NMDA-R-IgG, CASPR2-IgG, LGI1-IgG, LON5-IgG, GFAP-IgG, GAD65-IgG and mGluR5-IgG.Metagenomic next-generation sequencing (mNGS) assays demonstrated that 5 patients were infected with Human Herpesvirus Type 1 (HSV-1) and 10 patients with Epstein-Barr Virus (EBV). CONCLUSIONS: The concomitant detection of viral infection and neuronal autoantibodies in serum or cerebrospinal fluid (CSF) within a short time window (≤ 72 h) after the initial onset of symptoms was defined in this study as Overlapping Peak Encephalitis (OPE) or coincidence condition, which suggests that it represents a distinct clinical entity. This finding underscores the importance of simultaneously performing both metagenomic next-generation sequencing (mNGS) and neuronal autoantibody assays in patients with suspected viral encephalitis. Early identification of such comorbid conditions is of paramount importance; timely diagnosis combined with antiviral therapy and immunomodulatory intervention may significantly improve clinical outcomes.
Additional Links: PMID-42057016
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@article {pmid42057016,
year = {2026},
author = {Chen, H and Shi, X and Huang, Z and Li, X and Zhou, Y and Tan, D and Xie, Z and Wu, X and Zhou, M and Hong, D},
title = {Co-occurrence of viral encephalitis and autoimmune encephalitis: overlapping peaks encephalitis or coincidence condition?.},
journal = {BMC neurology},
volume = {26},
number = {1},
pages = {},
pmid = {42057016},
issn = {1471-2377},
support = {No.82101419//National Natural Science Foundation of China/ ; },
abstract = {BACKGROUND: Many studies have shown that autoimmune encephalitis (AE) can occur after viral encephalitis. However, no reports have focused on the interval between viral infection peaks and probable AE peaks. OBJECTIVES: To assess the possibility that viral infection and neuronal autoantibodies are concomitantly present within a 72-hour interval in patients diagnosed with encephalitis. METHODS: We retrospectively analyzed encephalitis patients admitted to our institution between 2018 and 2025. The inclusion criteria were as follows: the interval from the initial onset of symptoms to serum and cerebrospinal fluid (CSF) sampling was less than 72 h, with concomitant detection of viral central nervous system (CNS) infection and neuronal autoantibodies. Viral detection was performed using metagenomic next-generation sequencing (mNGS), whereas neuronal autoantibodies were measured by cytometric bead array (CBA). RESULTS: Among 347 patients with encephalitis, fifteen patients had concomitant detection of viral central nervous system (CNS) infection and neuronal autoantibodies within 72 h after the initial onset of symptoms.These fifteen patients presented with prominent clinical manifestations including headache, seizures, psychosis and memory disorders. Cerebrospinal fluid (CSF) analysis revealed features consistent with aseptic or viral encephalitis. A variety of neuronal autoantibodies were identified, namely NMDA-R-IgG, CASPR2-IgG, LGI1-IgG, LON5-IgG, GFAP-IgG, GAD65-IgG and mGluR5-IgG.Metagenomic next-generation sequencing (mNGS) assays demonstrated that 5 patients were infected with Human Herpesvirus Type 1 (HSV-1) and 10 patients with Epstein-Barr Virus (EBV). CONCLUSIONS: The concomitant detection of viral infection and neuronal autoantibodies in serum or cerebrospinal fluid (CSF) within a short time window (≤ 72 h) after the initial onset of symptoms was defined in this study as Overlapping Peak Encephalitis (OPE) or coincidence condition, which suggests that it represents a distinct clinical entity. This finding underscores the importance of simultaneously performing both metagenomic next-generation sequencing (mNGS) and neuronal autoantibody assays in patients with suspected viral encephalitis. Early identification of such comorbid conditions is of paramount importance; timely diagnosis combined with antiviral therapy and immunomodulatory intervention may significantly improve clinical outcomes.},
}
RevDate: 2026-06-12
Preoperative gut microbial network alterations and BCAA-Related metabolic disturbance in postoperative delirium after cardiac surgery: a prospective matched multi-omic study.
Translational psychiatry pii:10.1038/s41398-026-04161-9 [Epub ahead of print].
Postoperative delirium (POD) is a frequent neuropsychiatric complication after cardiac surgery, yet the biological basis of individual susceptibility remains unclear. In this prospective cohort study, 317 adults undergoing elective on-pump cardiac surgery were enrolled and followed for POD during the first 7 postoperative days. Thirty patients who developed POD were then matched 1:1 with 30 non-POD controls by age, sex, and primary diagnosis for multi-omic analyses. Preoperative fecal samples were collected from the first bowel movement after admission and before prophylactic antibiotic administration, and postoperative fecal samples were collected from the first postoperative bowel movement. Paired fecal samples underwent shotgun metagenomic sequencing, and perioperative serum samples underwent untargeted metabolomic profiling. Preoperatively, α- and β-diversity were comparable between groups, but patients who subsequently developed POD exhibited a less connected and less integrated microbial network structure. Postoperatively, gut microbial composition differed significantly between groups (PERMANOVA R[2] = 0.053, P < 0.001). Metagenomic profiling identified 35 differentially abundant species and 16 differentially enriched KEGG level 3 pathways, with POD-associated features showing inferred functional shifts toward amino-acid catabolism, including branched-chain amino acid (BCAA)-related pathways. Untargeted metabolomics demonstrated marked perioperative remodeling in both groups, but POD was associated with a 27-metabolite panel characterized predominantly by lower postoperative levels or impaired recovery, with pathway enrichment converging on valine, leucine, and isoleucine metabolism. Integrative analyses further linked POD-associated microbial taxa with amino-acid catabolic pathways and lower levels of BCAA-related serum metabolites. These findings suggest that POD is associated with preoperative alterations in microbial network organization and a postoperative microbiome-metabolome disturbance pattern centered on amino-acid metabolism, particularly the BCAA axis.
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@article {pmid42285959,
year = {2026},
author = {Lyu, C and Wang, Z and Zhao, R and Zhao, H and Liu, S and Lian, H and Wang, X},
title = {Preoperative gut microbial network alterations and BCAA-Related metabolic disturbance in postoperative delirium after cardiac surgery: a prospective matched multi-omic study.},
journal = {Translational psychiatry},
volume = {},
number = {},
pages = {},
doi = {10.1038/s41398-026-04161-9},
pmid = {42285959},
issn = {2158-3188},
abstract = {Postoperative delirium (POD) is a frequent neuropsychiatric complication after cardiac surgery, yet the biological basis of individual susceptibility remains unclear. In this prospective cohort study, 317 adults undergoing elective on-pump cardiac surgery were enrolled and followed for POD during the first 7 postoperative days. Thirty patients who developed POD were then matched 1:1 with 30 non-POD controls by age, sex, and primary diagnosis for multi-omic analyses. Preoperative fecal samples were collected from the first bowel movement after admission and before prophylactic antibiotic administration, and postoperative fecal samples were collected from the first postoperative bowel movement. Paired fecal samples underwent shotgun metagenomic sequencing, and perioperative serum samples underwent untargeted metabolomic profiling. Preoperatively, α- and β-diversity were comparable between groups, but patients who subsequently developed POD exhibited a less connected and less integrated microbial network structure. Postoperatively, gut microbial composition differed significantly between groups (PERMANOVA R[2] = 0.053, P < 0.001). Metagenomic profiling identified 35 differentially abundant species and 16 differentially enriched KEGG level 3 pathways, with POD-associated features showing inferred functional shifts toward amino-acid catabolism, including branched-chain amino acid (BCAA)-related pathways. Untargeted metabolomics demonstrated marked perioperative remodeling in both groups, but POD was associated with a 27-metabolite panel characterized predominantly by lower postoperative levels or impaired recovery, with pathway enrichment converging on valine, leucine, and isoleucine metabolism. Integrative analyses further linked POD-associated microbial taxa with amino-acid catabolic pathways and lower levels of BCAA-related serum metabolites. These findings suggest that POD is associated with preoperative alterations in microbial network organization and a postoperative microbiome-metabolome disturbance pattern centered on amino-acid metabolism, particularly the BCAA axis.},
}
RevDate: 2026-06-12
Experimental human colonisation with non-toxigenic Clostridioides difficile: a placebo-controlled randomised clinical trial.
Nature communications pii:10.1038/s41467-026-74327-y [Epub ahead of print].
Clostridioides difficile infections remain a major global healthcare burden, underscoring the need for novel therapies. Human colonisation models provide mechanistic insight into C. difficile colonisation and facilitate identification of novel intervention targets. We conducted a placebo-controlled, randomised clinical trial (NCT05693077) administering non-toxigenic C. difficile (NTCD) capsules to healthy participants to assess safety and colonisation as primary endpoints, and microbiota susceptibility as a secondary endpoint. A total of 69 healthy participants (18-45 years), not previously colonised with C. difficile and without recent antibiotic use, were enrolled following a health assessment. NTCD capsules administered for five consecutive days at low or high dose, was safe with no dose-response relationship in colonisation outcomes. Vancomycin pretreatment induced colonisation success: with 5% colonisation without, 32% after one day, and 84% after five days vancomycin pretreatment. Some participants that cleared vancomycin rapidly acquired non-challenge C. difficile strains prior to NTCD challenge. Microbiota profiling (using shotgun metagenomics) revealed reduced α-diversity and pronounced community restructuring. These findings highlight the impact of antibiotic-mediated microbiota disruption, the widespread environmental presence of C. difficile, and the feasibility of meaningful microbiota assessment in small-scale intervention trials, thereby providing a robust tool to investigate this globally impactful infection.
Additional Links: PMID-42286003
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@article {pmid42286003,
year = {2026},
author = {Hensen, ADO and Harmanus, C and Verbeek-Menken, PH and Koopman, JPR and Lamers, OAC and Roozen, GVT and Janse, JJ and Balke-Buijs, M and van der Stoep, MYEC and Meij, P and van Amerongen-Westra, IM and Schipper, P and Crul, C and Pattacini, L and Rox, K and Farowski, F and Tsakmaklis, A and Vehreschild, MJGT and Kuijper, EJ and Smits, WK and Roestenberg, M},
title = {Experimental human colonisation with non-toxigenic Clostridioides difficile: a placebo-controlled randomised clinical trial.},
journal = {Nature communications},
volume = {},
number = {},
pages = {},
doi = {10.1038/s41467-026-74327-y},
pmid = {42286003},
issn = {2041-1723},
support = {101007799//Innovative Medicines Initiative (IMI)/ ; },
abstract = {Clostridioides difficile infections remain a major global healthcare burden, underscoring the need for novel therapies. Human colonisation models provide mechanistic insight into C. difficile colonisation and facilitate identification of novel intervention targets. We conducted a placebo-controlled, randomised clinical trial (NCT05693077) administering non-toxigenic C. difficile (NTCD) capsules to healthy participants to assess safety and colonisation as primary endpoints, and microbiota susceptibility as a secondary endpoint. A total of 69 healthy participants (18-45 years), not previously colonised with C. difficile and without recent antibiotic use, were enrolled following a health assessment. NTCD capsules administered for five consecutive days at low or high dose, was safe with no dose-response relationship in colonisation outcomes. Vancomycin pretreatment induced colonisation success: with 5% colonisation without, 32% after one day, and 84% after five days vancomycin pretreatment. Some participants that cleared vancomycin rapidly acquired non-challenge C. difficile strains prior to NTCD challenge. Microbiota profiling (using shotgun metagenomics) revealed reduced α-diversity and pronounced community restructuring. These findings highlight the impact of antibiotic-mediated microbiota disruption, the widespread environmental presence of C. difficile, and the feasibility of meaningful microbiota assessment in small-scale intervention trials, thereby providing a robust tool to investigate this globally impactful infection.},
}
RevDate: 2026-06-12
A damage-aware NGS workflow for conservative species identification from ultra-degraded DNA.
Analytical and bioanalytical chemistry [Epub ahead of print].
Species identification from highly degraded DNA remains a major challenge across ecology, conservation genetics, wildlife forensics, and museum science, where samples are often scarce, contaminated, and embedded in complex matrices. Under these conditions, standard reference-based and metagenomic classifiers are prone to false-positive assignments, particularly when ultra-fragmented DNA and conserved genomic regions are not explicitly accounted for. Here, we present a damage-aware next-generation sequencing (NGS) workflow for conservative species identification from minute quantities of highly degraded DNA, designed to minimize misclassification in low-input and damage-rich datasets. The workflow integrates micro-sampling, half-uracil-DNA-glycosylase (half-UDG) library preparation, PCR duplicate removal, multi-genome mapping against a curated reference panel, and a post-mapping read-ubiquity classifier that distinguishes species-specific reads from those shared across conserved loci. Using collagen-rich substrates as a proof-of-concept, we demonstrated accurate species attribution from samples as small as 1 mm[2], including mixtures and mineral-containing matrices. The workflow reliably identifies dominant biological sources, reduces false-positive assignments driven by conserved genomic regions, and remains robust to common physical and chemical treatments such as swelling, heating, and plaster addition. Overall, this study provides a proof-of-concept framework for conservative species identification in challenging degraded DNA contexts. The workflow may be adaptable to a broader range of degraded DNA contexts-including wildlife monitoring, regulatory enforcement, forensic investigations, and the analysis of processed biological materials-although further validation across diverse matrices will be required.
Additional Links: PMID-42286360
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@article {pmid42286360,
year = {2026},
author = {Morelli, S and Romano, S and Cosenza, G and Abate, S and Lombardi, L and Pilli, E},
title = {A damage-aware NGS workflow for conservative species identification from ultra-degraded DNA.},
journal = {Analytical and bioanalytical chemistry},
volume = {},
number = {},
pages = {},
pmid = {42286360},
issn = {1618-2650},
abstract = {Species identification from highly degraded DNA remains a major challenge across ecology, conservation genetics, wildlife forensics, and museum science, where samples are often scarce, contaminated, and embedded in complex matrices. Under these conditions, standard reference-based and metagenomic classifiers are prone to false-positive assignments, particularly when ultra-fragmented DNA and conserved genomic regions are not explicitly accounted for. Here, we present a damage-aware next-generation sequencing (NGS) workflow for conservative species identification from minute quantities of highly degraded DNA, designed to minimize misclassification in low-input and damage-rich datasets. The workflow integrates micro-sampling, half-uracil-DNA-glycosylase (half-UDG) library preparation, PCR duplicate removal, multi-genome mapping against a curated reference panel, and a post-mapping read-ubiquity classifier that distinguishes species-specific reads from those shared across conserved loci. Using collagen-rich substrates as a proof-of-concept, we demonstrated accurate species attribution from samples as small as 1 mm[2], including mixtures and mineral-containing matrices. The workflow reliably identifies dominant biological sources, reduces false-positive assignments driven by conserved genomic regions, and remains robust to common physical and chemical treatments such as swelling, heating, and plaster addition. Overall, this study provides a proof-of-concept framework for conservative species identification in challenging degraded DNA contexts. The workflow may be adaptable to a broader range of degraded DNA contexts-including wildlife monitoring, regulatory enforcement, forensic investigations, and the analysis of processed biological materials-although further validation across diverse matrices will be required.},
}
RevDate: 2026-06-12
Metagenomic characterization of the virome of Aedes albopictus in Anhui Province, China, with phylogenetic analysis of CRESS-DNA viruses and Parvoviridae.
Virus genes [Epub ahead of print].
Aedes albopictus is a globally important mosquito species capable of transmitting a variety of viruses. In this study, a total of 440 Ae. albopictus individuals were collected from Fanchang, Anhui Province, and 22 tissue libraries were constructed for metagenomic sequencing. A total of 649,930,614 reads were obtained and assembled into 209,335 contigs, of which 18,339 showed similarity to known viral proteins, spanning 13 viral families including both DNA and RNA viruses. Because several DNA virus-related sequences were recovered from the dataset, we further focussed on CRESS-DNA virus-related sequences and members of the family Parvoviridae. Phylogenetic analysis showed that three CRESS-DNA virus-related sequences clustered within Smacoviridae and Genomoviridae, while two Parvoviridae genomes were assigned to Brevihamaparvovirus and Protoparvovirus. These findings provide a metagenomic overview of the Ae. albopictus-associated virome in Anhui Province and provide baseline information on mosquito-associated DNA virus-related sequences in this region.
Additional Links: PMID-42286394
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@article {pmid42286394,
year = {2026},
author = {Shen, Q and Chen, J and Chen, Y and Liu, J and Mao, L and Shi, W and Ndjekadom, A and Wang, J and Wang, X and Liu, Y and Yang, S and Ji, L and Wu, P and Tong, F and Yang, H and Zhang, W},
title = {Metagenomic characterization of the virome of Aedes albopictus in Anhui Province, China, with phylogenetic analysis of CRESS-DNA viruses and Parvoviridae.},
journal = {Virus genes},
volume = {},
number = {},
pages = {},
pmid = {42286394},
issn = {1572-994X},
support = {22KJA320001//Jiangsu Province Higher Education Basic Science (Natural Science) Research Project/ ; No. 2023YFD1801300//National Key Research and Development Program of China/ ; No. 82341106//National Natural Science Foundation of China/ ; },
abstract = {Aedes albopictus is a globally important mosquito species capable of transmitting a variety of viruses. In this study, a total of 440 Ae. albopictus individuals were collected from Fanchang, Anhui Province, and 22 tissue libraries were constructed for metagenomic sequencing. A total of 649,930,614 reads were obtained and assembled into 209,335 contigs, of which 18,339 showed similarity to known viral proteins, spanning 13 viral families including both DNA and RNA viruses. Because several DNA virus-related sequences were recovered from the dataset, we further focussed on CRESS-DNA virus-related sequences and members of the family Parvoviridae. Phylogenetic analysis showed that three CRESS-DNA virus-related sequences clustered within Smacoviridae and Genomoviridae, while two Parvoviridae genomes were assigned to Brevihamaparvovirus and Protoparvovirus. These findings provide a metagenomic overview of the Ae. albopictus-associated virome in Anhui Province and provide baseline information on mosquito-associated DNA virus-related sequences in this region.},
}
RevDate: 2026-06-13
Shotgun metagenomic dataset of surface microbiomes at a train station in Shinagawa, Tokyo.
BMC genomic data pii:10.1186/s12863-026-01451-5 [Epub ahead of print].
OBJECTIVES: The urban microbiome is a significantly underexplored ecosystem which contributes to the health and resilience of the human population and less is known about the microbiome of urban transportation systems that commuters interact with daily. Shotgun metagenomic sequencing data from swab samples were collected at a representative medium-scale urban commuter railway station in Tokyo, Japan, with daily passenger volumes on the order of tens of thousands, in October 2021. The dataset was generated as part of the nationwide "Urban Microbiomes in Japan" project and provides a resource for comparative analyses of urban microbial diversity and future public health surveillance studies in urban environments.
DATA DESCRIPTION: Three surface swab samples were collected in October 2021 from concrete floor areas near ticket gates at a major railway station in Shinagawa, Tokyo. Samples were collected using Isohelix swabs with DNA/RNA Shield stabilization solution. Metagenomic DNA was extracted and subjected to shotgun sequencing, generating 2 × 150 bp paired-end reads.
Additional Links: PMID-42286497
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PubMed:
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@article {pmid42286497,
year = {2026},
author = {Gao, X and Sanui, A and Rasmika Dewi, DAP and Lucaci, AG and Mason, CE and Suzuki, H},
title = {Shotgun metagenomic dataset of surface microbiomes at a train station in Shinagawa, Tokyo.},
journal = {BMC genomic data},
volume = {},
number = {},
pages = {},
doi = {10.1186/s12863-026-01451-5},
pmid = {42286497},
issn = {2730-6844},
support = {U54AG089334//National Institute for Health and Care Research/ ; JPMJCR20H1//JST CREST/ ; 20K10436//JSPS KAKENHI/ ; JAHMEC.G-02, 2022//Japan Architectural Health, Management and Education Center Research grant/ ; },
abstract = {OBJECTIVES: The urban microbiome is a significantly underexplored ecosystem which contributes to the health and resilience of the human population and less is known about the microbiome of urban transportation systems that commuters interact with daily. Shotgun metagenomic sequencing data from swab samples were collected at a representative medium-scale urban commuter railway station in Tokyo, Japan, with daily passenger volumes on the order of tens of thousands, in October 2021. The dataset was generated as part of the nationwide "Urban Microbiomes in Japan" project and provides a resource for comparative analyses of urban microbial diversity and future public health surveillance studies in urban environments.
DATA DESCRIPTION: Three surface swab samples were collected in October 2021 from concrete floor areas near ticket gates at a major railway station in Shinagawa, Tokyo. Samples were collected using Isohelix swabs with DNA/RNA Shield stabilization solution. Metagenomic DNA was extracted and subjected to shotgun sequencing, generating 2 × 150 bp paired-end reads.},
}
RevDate: 2026-06-13
Dietary inclusion of Asparagopsis taxiformis significantly reduces methane emissions in dairy cows by mechanistically altering vitamin B12-dependent and other methanogenesis precursor pathways.
Microbiome pii:10.1186/s40168-026-02447-0 [Epub ahead of print].
BACKGROUND: Ruminant products are widely consumed due to their high protein and micronutrient content, but ruminant production contributes significantly to greenhouse gas emissions, with methane (CH4) accounting for 33% of anthropogenic emissions. CH4 is generated via fermentative processes by the rumen microbiome, primarily through hydrogen utilisation by methanogenic archaea. Feeding beef cattle the red seaweed Asparagopsis taxiformis (ASP) has been shown to reduce CH4 emissions by up to 80%. However, the microbial mechanisms underlying this reduction remain poorly understood. In this study, Nordic Red dairy cows (122 ± 13.7 days in milk) were fed grass silage and concentrate (60:40 dry matter basis) either with or without 0.5% ASP (organic matter basis) in a Latin square design, and rumen fluid was collected 19 days into each of the 3 experimental periods.
RESULTS: ASP supplementation reduced CH₄ yield by 54% (g CH₄/kg DM). Metagenomic analysis revealed genes encoding pyruvate and propionate production pathways were more abundant in ASP treated animals, while those associated with acetate and CH₄ were reduced. Additionally, genes encoding vitamin B12 biosynthesis enzymes showed reduced abundances (e.g., adenosylcobinamide-GDP ribazoletransferase, EC 2.7.8.26, -29.92%). Vitamin B12 and its related cofactors are critical for methanogenic methyltransferases and C1 metabolism. Dominant taxa including Prevotella and Methanobrevibacter declined, while less abundant taxa increased their contribution to methane-related pathways, indicating niche displacement and community restructuring. CONCLUSION : ASP supplementation modulates the rumen microbiome through mechanisms extending beyond direct methanogen inhibition. The reduced abundance of genes involved in C1 metabolism and vitamin B12-dependent methanogenic processes suggest methane suppression is linked to broader restructuring of microbial metabolic networks. The redistribution of methane-related functions from dominant taxa to a wider taxonomic community indicates ecological reorganisation and functional resilience of the rumen microbiome. Collectively, these results reveal the multiple modes of action of ASP, establishing its promise as an effective methane mitigation strategy. Video Abstract.
Additional Links: PMID-42286668
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PubMed:
Citation:
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@article {pmid42286668,
year = {2026},
author = {Lawther, K and Dimonaco, NJ and Donnelly, P and Guinguina, A and Krizsan, SJ and Huws, SA},
title = {Dietary inclusion of Asparagopsis taxiformis significantly reduces methane emissions in dairy cows by mechanistically altering vitamin B12-dependent and other methanogenesis precursor pathways.},
journal = {Microbiome},
volume = {},
number = {},
pages = {},
doi = {10.1186/s40168-026-02447-0},
pmid = {42286668},
issn = {2049-2618},
abstract = {BACKGROUND: Ruminant products are widely consumed due to their high protein and micronutrient content, but ruminant production contributes significantly to greenhouse gas emissions, with methane (CH4) accounting for 33% of anthropogenic emissions. CH4 is generated via fermentative processes by the rumen microbiome, primarily through hydrogen utilisation by methanogenic archaea. Feeding beef cattle the red seaweed Asparagopsis taxiformis (ASP) has been shown to reduce CH4 emissions by up to 80%. However, the microbial mechanisms underlying this reduction remain poorly understood. In this study, Nordic Red dairy cows (122 ± 13.7 days in milk) were fed grass silage and concentrate (60:40 dry matter basis) either with or without 0.5% ASP (organic matter basis) in a Latin square design, and rumen fluid was collected 19 days into each of the 3 experimental periods.
RESULTS: ASP supplementation reduced CH₄ yield by 54% (g CH₄/kg DM). Metagenomic analysis revealed genes encoding pyruvate and propionate production pathways were more abundant in ASP treated animals, while those associated with acetate and CH₄ were reduced. Additionally, genes encoding vitamin B12 biosynthesis enzymes showed reduced abundances (e.g., adenosylcobinamide-GDP ribazoletransferase, EC 2.7.8.26, -29.92%). Vitamin B12 and its related cofactors are critical for methanogenic methyltransferases and C1 metabolism. Dominant taxa including Prevotella and Methanobrevibacter declined, while less abundant taxa increased their contribution to methane-related pathways, indicating niche displacement and community restructuring. CONCLUSION : ASP supplementation modulates the rumen microbiome through mechanisms extending beyond direct methanogen inhibition. The reduced abundance of genes involved in C1 metabolism and vitamin B12-dependent methanogenic processes suggest methane suppression is linked to broader restructuring of microbial metabolic networks. The redistribution of methane-related functions from dominant taxa to a wider taxonomic community indicates ecological reorganisation and functional resilience of the rumen microbiome. Collectively, these results reveal the multiple modes of action of ASP, establishing its promise as an effective methane mitigation strategy. Video Abstract.},
}
RevDate: 2026-06-13
CmpDate: 2026-06-13
Beyond metagenomics: culturomics uncovers aerobic and facultative anaerobic bacterial diversity in the camel gut.
Animal microbiome, 8(1):.
While metagenomics has transformed our view of microbial ecosystems, culture-based methods remain indispensable for accessing microbial functionality and biotechnological potential. In this study, we applied a culturomics strategy to explore the diversity, abundance, and distribution of culturable aerobic and facultative anaerobic bacteria along the gastrointestinal tract of dromedary camels (Camelus dromedarius) grazing on pristine desert flora. Using six culture media-including modified YCFA formulations-we isolated 97 bacterial species across 42 genera, 31 families, and four phyla: Firmicutes, Proteobacteria, Actinomycetota, and Bacteroidota. Strikingly, 88.6% of this diversity was recovered using YCFA-based media, and four candidate novel species were identified. The rumen harbored the most diverse and Gram-positive-dominated community, whereas the small intestine was enriched with Gram-negative taxa, many with pathogenic potential. These findings highlight the camel's unique physiological adaptation to extreme arid environments, characterized by efficient fiber degradation under nutrient- and water-limited conditions and the presence of stress-tolerant gut microbes capable of resisting acidic and osmotic challenges. Overall, this study establishes a foundational understanding of the camel gut microbiota and underscores the complementary power of culture-dependent methods to metagenomics. Future integration with anaerobic culturing and multi-omics analyses will further unveil the ecological and biotechnological potential of desert-adapted microbial life.
Additional Links: PMID-42286752
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@article {pmid42286752,
year = {2026},
author = {Abedini, R and Salekdeh, GH and Hashemi, M},
title = {Beyond metagenomics: culturomics uncovers aerobic and facultative anaerobic bacterial diversity in the camel gut.},
journal = {Animal microbiome},
volume = {8},
number = {1},
pages = {},
pmid = {42286752},
issn = {2524-4671},
abstract = {While metagenomics has transformed our view of microbial ecosystems, culture-based methods remain indispensable for accessing microbial functionality and biotechnological potential. In this study, we applied a culturomics strategy to explore the diversity, abundance, and distribution of culturable aerobic and facultative anaerobic bacteria along the gastrointestinal tract of dromedary camels (Camelus dromedarius) grazing on pristine desert flora. Using six culture media-including modified YCFA formulations-we isolated 97 bacterial species across 42 genera, 31 families, and four phyla: Firmicutes, Proteobacteria, Actinomycetota, and Bacteroidota. Strikingly, 88.6% of this diversity was recovered using YCFA-based media, and four candidate novel species were identified. The rumen harbored the most diverse and Gram-positive-dominated community, whereas the small intestine was enriched with Gram-negative taxa, many with pathogenic potential. These findings highlight the camel's unique physiological adaptation to extreme arid environments, characterized by efficient fiber degradation under nutrient- and water-limited conditions and the presence of stress-tolerant gut microbes capable of resisting acidic and osmotic challenges. Overall, this study establishes a foundational understanding of the camel gut microbiota and underscores the complementary power of culture-dependent methods to metagenomics. Future integration with anaerobic culturing and multi-omics analyses will further unveil the ecological and biotechnological potential of desert-adapted microbial life.},
}
RevDate: 2026-06-13
Metagenomic analysis reveals resistome characteristics and high-risk resistance genes in the pig nasal cavities, feces, and farm dust.
Animal microbiome pii:10.1186/s42523-026-00589-y [Epub ahead of print].
BACKGROUND: Antimicrobial resistance (AMR) poses a threat to global public health. Swine farms are critical AMR reservoirs. Comprehensive resistome profiling and risk assessment across pig-associated niches remain limited. Metagenomic analysis of antibiotic resistance genes (ARGs) in pig nasal cavities, feces, and farm dust was performed.
RESULTS: Nasal and dust samples exhibited significantly increased ARG diversity and abundance compared with feces. We identified 78 potentially hazardous ARGs and proposed an improved risk classification framework integrating host promiscuity, mobility, and human health risks. These ARGs were classified into four risk levels: 25 Level I (current high risk), 25 Level II (potential future threats), 18 Level III (host-promiscuous but nonmobile), and 10 Level IV (host-specific). High-risk ARGs mainly confer aminoglycoside, macrolide-lincosamide-streptogramin (MLS), and tetracycline resistance. Metagenome-assembled genome (MAG) analysis revealed that bacterial taxa enriched in ARGs were predominant in nasal and dust samples. Moreover, these environments presented higher mobile genetic element (MGE) abundance and similar ARG-MGE co-occurrence patterns. Notably, 74.12% of the mobile ARGs were predicted to be plasmid-borne, and these ARGs tended to be assigned higher health risk levels than chromosomal ARGs.
CONCLUSIONS: These findings provide a practical framework for ARG risk assessment and highlight the nasal cavity and dust as underappreciated but important AMR reservoirs in pig farms.
Additional Links: PMID-42286784
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PubMed:
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@article {pmid42286784,
year = {2026},
author = {Yu, Y and Wu, H and Ji, H and Hu, Y and Fang, Y and Lin, Y and Zhang, Y and Zhou, Y},
title = {Metagenomic analysis reveals resistome characteristics and high-risk resistance genes in the pig nasal cavities, feces, and farm dust.},
journal = {Animal microbiome},
volume = {},
number = {},
pages = {},
doi = {10.1186/s42523-026-00589-y},
pmid = {42286784},
issn = {2524-4671},
support = {2024-2026QNRC001//Young Elite Scientists Sponsorship Program by CAST/ ; 32402702//National Natural Science Foundation of China/ ; LMS25C170002//Natural Science Foundation of Zhejiang Province/ ; },
abstract = {BACKGROUND: Antimicrobial resistance (AMR) poses a threat to global public health. Swine farms are critical AMR reservoirs. Comprehensive resistome profiling and risk assessment across pig-associated niches remain limited. Metagenomic analysis of antibiotic resistance genes (ARGs) in pig nasal cavities, feces, and farm dust was performed.
RESULTS: Nasal and dust samples exhibited significantly increased ARG diversity and abundance compared with feces. We identified 78 potentially hazardous ARGs and proposed an improved risk classification framework integrating host promiscuity, mobility, and human health risks. These ARGs were classified into four risk levels: 25 Level I (current high risk), 25 Level II (potential future threats), 18 Level III (host-promiscuous but nonmobile), and 10 Level IV (host-specific). High-risk ARGs mainly confer aminoglycoside, macrolide-lincosamide-streptogramin (MLS), and tetracycline resistance. Metagenome-assembled genome (MAG) analysis revealed that bacterial taxa enriched in ARGs were predominant in nasal and dust samples. Moreover, these environments presented higher mobile genetic element (MGE) abundance and similar ARG-MGE co-occurrence patterns. Notably, 74.12% of the mobile ARGs were predicted to be plasmid-borne, and these ARGs tended to be assigned higher health risk levels than chromosomal ARGs.
CONCLUSIONS: These findings provide a practical framework for ARG risk assessment and highlight the nasal cavity and dust as underappreciated but important AMR reservoirs in pig farms.},
}
RevDate: 2026-06-13
CmpDate: 2026-06-13
Diet and microbiome shape small-molecule cytokinin pools in mammals.
Gut microbes, 18(1):2679497.
Cytokinins (CKs) are adenine-derived metabolites traditionally characterized as plant hormones, yet their origin, distribution, and functions in mammalian systems remain largely undefined. Using integrated metabolomics, microbiome, and metagenomics approaches, we provide a systematic characterization of CK occurrence and potential sources in mammals. Serum profiling across five animal species revealed consistent detection of multiple CK derivatives, with concentrations markedly lower than in plant tissue. The CK storage form, zeatin-O-glucoside, predominated in mammalian sera, followed by trans-zeatin and kinetin, indicating a CK composition distinct from that in plants. Species-specific differences, such as reduced trans-zeatin in mice and lower kinetin in humans, further suggest divergent regulatory patterns. In mice, CKs were present in vascular tissues of the kidney, heart, and liver, demonstrating systemic distribution. Dietary manipulation showed that starvation significantly reduced CK abundance in serum, colon, feces, and urine, confirming that diet is a major contributor to the mammalian CK pool. Meta-omics analysis of gut microbiomes identified CK-related genes across multiple microbial taxa, with the highest representation in human microbiomes, followed by those of mouse and pig. Germ-free mouse experiments showed substantially lower CK levels than conventionally raised counterparts, establishing a microbiome-dependent contribution. Collectively, our findings identify CKs as diet and microbiome modulated metabolites in mammals, warranting future investigation to elucidate their physiological significance in mammalian biology.
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PubMed:
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@article {pmid42286862,
year = {2026},
author = {Othman, EM and Bencurova, E and Ferretti, P and Bork, P and Rodriguez Del Rio, A and Huerta-Cepas, J and Caruana, I and Abdel-Latif, R and Akash, A and Albacete, A and Lafi, F and Dandekar, T and Naseem, M},
title = {Diet and microbiome shape small-molecule cytokinin pools in mammals.},
journal = {Gut microbes},
volume = {18},
number = {1},
pages = {2679497},
doi = {10.1080/19490976.2026.2679497},
pmid = {42286862},
issn = {1949-0984},
mesh = {Animals ; *Cytokinins/blood/metabolism ; Humans ; Mice ; *Diet ; *Gastrointestinal Microbiome ; *Mammals/metabolism ; Metabolomics ; Metagenomics ; Feces/chemistry ; Swine ; Bacteria/classification/genetics/metabolism/isolation & purification ; *Microbiota ; },
abstract = {Cytokinins (CKs) are adenine-derived metabolites traditionally characterized as plant hormones, yet their origin, distribution, and functions in mammalian systems remain largely undefined. Using integrated metabolomics, microbiome, and metagenomics approaches, we provide a systematic characterization of CK occurrence and potential sources in mammals. Serum profiling across five animal species revealed consistent detection of multiple CK derivatives, with concentrations markedly lower than in plant tissue. The CK storage form, zeatin-O-glucoside, predominated in mammalian sera, followed by trans-zeatin and kinetin, indicating a CK composition distinct from that in plants. Species-specific differences, such as reduced trans-zeatin in mice and lower kinetin in humans, further suggest divergent regulatory patterns. In mice, CKs were present in vascular tissues of the kidney, heart, and liver, demonstrating systemic distribution. Dietary manipulation showed that starvation significantly reduced CK abundance in serum, colon, feces, and urine, confirming that diet is a major contributor to the mammalian CK pool. Meta-omics analysis of gut microbiomes identified CK-related genes across multiple microbial taxa, with the highest representation in human microbiomes, followed by those of mouse and pig. Germ-free mouse experiments showed substantially lower CK levels than conventionally raised counterparts, establishing a microbiome-dependent contribution. Collectively, our findings identify CKs as diet and microbiome modulated metabolites in mammals, warranting future investigation to elucidate their physiological significance in mammalian biology.},
}
MeSH Terms:
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Animals
*Cytokinins/blood/metabolism
Humans
Mice
*Diet
*Gastrointestinal Microbiome
*Mammals/metabolism
Metabolomics
Metagenomics
Feces/chemistry
Swine
Bacteria/classification/genetics/metabolism/isolation & purification
*Microbiota
RevDate: 2026-06-13
Functional Genetic Potential Of Benthic Microbial Mat Communities In Arctic, Antarctic And Sub-Antarctic Lakes.
FEMS microbiology ecology pii:8707441 [Epub ahead of print].
Benthic microbial mat communities are key drivers of ecosystem functioning in polar lakes and ponds, forming the base of aquatic food webs and contributing substantially to nutrient cycling. Although Arctic, Sub-Antarctic and Antarctic microbial mats differ in community composition, their functional genetic potential remains poorly understood. We applied shotgun metagenomic sequencing to study 17 microbial mat communities from Arctic and (Sub-)Antarctic lakes differing in salinity, catchment vegetation and climatic conditions. Stress response genes, especially cold stress, and phosphorus cycling and metabolism genes were highly abundant in all lakes. A large proportion of functional genes was shared between regions, with core functions dominated by transport mechanisms and energy production. However, clear differences in particular gene abundances were observed. Several East-Antarctic lakes and inland ponds in the Transantarctic Mountains showed a dominance of oxygenic photosynthesis and Calvin cycle genes for carbon fixation, likely reflecting the dominance of Cyanobacteriota. In Arctic and Sub-Antarctic lakes with catchment vegetation and higher arthropod abundances, lignin and chitin degradation genes were more important. Our study shows that, despite distinct biogeographic patterns in community composition, the functional genetic potential of polar lake microbial mats mainly reflects climatic and local environmental conditions, emphasising specific adaptations to extreme polar environments.
Additional Links: PMID-42287197
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@article {pmid42287197,
year = {2026},
author = {De Visscher, J and Tytgat, B and Hodgson, DA and Wilmotte, A and Willems, A and Verleyen, E and Vyverman, W},
title = {Functional Genetic Potential Of Benthic Microbial Mat Communities In Arctic, Antarctic And Sub-Antarctic Lakes.},
journal = {FEMS microbiology ecology},
volume = {},
number = {},
pages = {},
doi = {10.1093/femsec/fiag060},
pmid = {42287197},
issn = {1574-6941},
abstract = {Benthic microbial mat communities are key drivers of ecosystem functioning in polar lakes and ponds, forming the base of aquatic food webs and contributing substantially to nutrient cycling. Although Arctic, Sub-Antarctic and Antarctic microbial mats differ in community composition, their functional genetic potential remains poorly understood. We applied shotgun metagenomic sequencing to study 17 microbial mat communities from Arctic and (Sub-)Antarctic lakes differing in salinity, catchment vegetation and climatic conditions. Stress response genes, especially cold stress, and phosphorus cycling and metabolism genes were highly abundant in all lakes. A large proportion of functional genes was shared between regions, with core functions dominated by transport mechanisms and energy production. However, clear differences in particular gene abundances were observed. Several East-Antarctic lakes and inland ponds in the Transantarctic Mountains showed a dominance of oxygenic photosynthesis and Calvin cycle genes for carbon fixation, likely reflecting the dominance of Cyanobacteriota. In Arctic and Sub-Antarctic lakes with catchment vegetation and higher arthropod abundances, lignin and chitin degradation genes were more important. Our study shows that, despite distinct biogeographic patterns in community composition, the functional genetic potential of polar lake microbial mats mainly reflects climatic and local environmental conditions, emphasising specific adaptations to extreme polar environments.},
}
RevDate: 2026-06-13
CmpDate: 2026-06-13
Worldwide diversity and ecology of mangrove fungi: a systematic review of ITS metabarcoding studies and a quantitative, integrative analysis of raw sequence data.
World journal of microbiology & biotechnology, 42(7):.
Fungi are integral components of the mangrove microbiome, playing critical roles in decomposition, nutrient cycling, and symbiosis. Our study synthesizes the findings from a global systematic review of fungal ITS metabarcoding studies conducted in mangrove ecosystems. This review consolidates data from 23 original research articles (1,154 samples) and provides a comprehensive overview of the diversity, community structure, and ecological functions of fungi in these critical coastal habitats. The analyses revealed a consistent core fungal mycobiome in mangroves worldwide. This community is dominated by Ascomycota, with Basidiomycota as the second most abundant phylum. A consistent set of ten highly abundant genera underpins this core community, and fungal diversity and composition are strongly influenced by the specific substrate. Non-rhizospheric sediment harbors the highest diversity, while live plant organs host a more specialized and less diverse community, slightly dominated by potential plant pathogens. Rhizospheric sediment supports a unique assemblage rich in wood-decomposing fungi. The primary ecological role of fungi in mangroves is decomposition, which is essential for breaking down lignocellulosic litter, cycling nutrients, and storing carbon in sediments. A surprisingly high relative abundance of fungi classified as plant pathogens was identified on mangrove plant tissues, suggesting an underappreciated role of fungal diseases in these ecosystems. Metabarcoding provides a far broader view of fungal diversity than traditional collection and culturing methods. It has uncovered a vast number of uncultured taxa and has been particularly effective in revealing the significant, and likely underestimated, presence of macrofungi in mangrove soils. Our study also highlights that current short-read metabarcoding can severely underestimate certain fungal groups, particularly the endomycorrhizal Glomeromycota, due to technical limitations. Altogether, our synthesis provides a global baseline against which future mangrove mycobiome studies can be benchmarked.
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@article {pmid42287489,
year = {2026},
author = {da Silveira Bastos, IMA and Cardoso, MS and Laux, M and Ribeiro, RR and García, GJY and Bahia, PA and de Sousa, PMV and Alves, BGT and de Rezende, DHC and Rosado, AS and Bezerra, JDP and Landell, MF and Melo, VMM and Tavares, TCL and Góes-Neto, A},
title = {Worldwide diversity and ecology of mangrove fungi: a systematic review of ITS metabarcoding studies and a quantitative, integrative analysis of raw sequence data.},
journal = {World journal of microbiology & biotechnology},
volume = {42},
number = {7},
pages = {},
pmid = {42287489},
issn = {1573-0972},
mesh = {*Fungi/classification/genetics/isolation & purification ; *DNA Barcoding, Taxonomic ; *Biodiversity ; *Wetlands ; *Mycobiome ; Basidiomycota/genetics/classification ; Geologic Sediments/microbiology ; *Rhizophoraceae/microbiology ; Ecosystem ; Ascomycota/genetics/classification/isolation & purification ; Phylogeny ; },
abstract = {Fungi are integral components of the mangrove microbiome, playing critical roles in decomposition, nutrient cycling, and symbiosis. Our study synthesizes the findings from a global systematic review of fungal ITS metabarcoding studies conducted in mangrove ecosystems. This review consolidates data from 23 original research articles (1,154 samples) and provides a comprehensive overview of the diversity, community structure, and ecological functions of fungi in these critical coastal habitats. The analyses revealed a consistent core fungal mycobiome in mangroves worldwide. This community is dominated by Ascomycota, with Basidiomycota as the second most abundant phylum. A consistent set of ten highly abundant genera underpins this core community, and fungal diversity and composition are strongly influenced by the specific substrate. Non-rhizospheric sediment harbors the highest diversity, while live plant organs host a more specialized and less diverse community, slightly dominated by potential plant pathogens. Rhizospheric sediment supports a unique assemblage rich in wood-decomposing fungi. The primary ecological role of fungi in mangroves is decomposition, which is essential for breaking down lignocellulosic litter, cycling nutrients, and storing carbon in sediments. A surprisingly high relative abundance of fungi classified as plant pathogens was identified on mangrove plant tissues, suggesting an underappreciated role of fungal diseases in these ecosystems. Metabarcoding provides a far broader view of fungal diversity than traditional collection and culturing methods. It has uncovered a vast number of uncultured taxa and has been particularly effective in revealing the significant, and likely underestimated, presence of macrofungi in mangrove soils. Our study also highlights that current short-read metabarcoding can severely underestimate certain fungal groups, particularly the endomycorrhizal Glomeromycota, due to technical limitations. Altogether, our synthesis provides a global baseline against which future mangrove mycobiome studies can be benchmarked.},
}
MeSH Terms:
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*Fungi/classification/genetics/isolation & purification
*DNA Barcoding, Taxonomic
*Biodiversity
*Wetlands
*Mycobiome
Basidiomycota/genetics/classification
Geologic Sediments/microbiology
*Rhizophoraceae/microbiology
Ecosystem
Ascomycota/genetics/classification/isolation & purification
Phylogeny
RevDate: 2026-06-13
Long-term nutrient management shapes soil microbial and metabolic signatures in a century-old semi-arid agroecosystem.
Journal of environmental management, 411:130209 pii:S0301-4797(26)01669-5 [Epub ahead of print].
Semi-arid tropical soils inherently contain low soil organic carbon (SOC) and limited nutrient reserves, resulting in poor productivity. Intensive cropping with synthetic fertilizers, further deteriorate soil quality and impair ecosystem functioning. In contrast, organic amendments alone or combined with synthetic fertilizers sustain soil biodiversity through microbially mediated processes. However, how long-term nutrient management shapes soil microbiomes and their functional diversity in semi-arid tropical systems remains largely unknown. To address this gap, we investigated a 116-year-old long-term nutrient management experiment using a multi-omic framework. Shotgun metagenomics characterized the total microbiome (bacteria, archaea, and eukaryota) and associated carbon- and nitrogen-cycling genes under four contrasting nutrient management practices: unfertilized control, inorganic fertilizer alone (IC), organic amendment alone (OM), and integrated nutrient management combining organic and inorganic inputs (INM). OM and INM significantly improved soil nutrient stocks, SOC, microbial biomass, and enzyme activities compared with IC and Control. These treatments also enhanced microbial diversity and shifted communities toward copiotrophic and functionally beneficial taxa, whereas IC and Control were dominated by stress-tolerant oligotrophs. Pathway analysis showed that carbon fixation dominated the C-cycling gene pool, with alternative autotrophic pathways prevailing over the Calvin cycle, particularly under OM and INM. These treatments also supported higher abundances of methanogenic and decomposition-associated genes, indicating enhanced carbon turnover. Nitrogen-cycling functions exhibited pathway-specific responses: OM enriched N-fixation and assimilatory nitrate reduction genes, whereas INM enhanced denitrification and dissimilatory nitrate reduction pathways. IC showed increased nitrification potential but the weakest biologically regulated N pathways. Volatomics profiling showed that OM and INM produced more diverse and metabolically active volatile organic compounds that were strongly associated with SOC and key biological attributes. Collectively, our study underscores the importance of carbon-rich organic inputs in rebuilding soil carbon stocks, reinforcing biological processes, and enhancing nutrient cycling for long-term sustainability of agriculture in semi-arid tropical regions.
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@article {pmid42287798,
year = {2026},
author = {Winssy, TD and Anandham, R and Maragatham, S and Uma, D and Karthikeyan, S and Balachandar, D},
title = {Long-term nutrient management shapes soil microbial and metabolic signatures in a century-old semi-arid agroecosystem.},
journal = {Journal of environmental management},
volume = {411},
number = {},
pages = {130209},
doi = {10.1016/j.jenvman.2026.130209},
pmid = {42287798},
issn = {1095-8630},
abstract = {Semi-arid tropical soils inherently contain low soil organic carbon (SOC) and limited nutrient reserves, resulting in poor productivity. Intensive cropping with synthetic fertilizers, further deteriorate soil quality and impair ecosystem functioning. In contrast, organic amendments alone or combined with synthetic fertilizers sustain soil biodiversity through microbially mediated processes. However, how long-term nutrient management shapes soil microbiomes and their functional diversity in semi-arid tropical systems remains largely unknown. To address this gap, we investigated a 116-year-old long-term nutrient management experiment using a multi-omic framework. Shotgun metagenomics characterized the total microbiome (bacteria, archaea, and eukaryota) and associated carbon- and nitrogen-cycling genes under four contrasting nutrient management practices: unfertilized control, inorganic fertilizer alone (IC), organic amendment alone (OM), and integrated nutrient management combining organic and inorganic inputs (INM). OM and INM significantly improved soil nutrient stocks, SOC, microbial biomass, and enzyme activities compared with IC and Control. These treatments also enhanced microbial diversity and shifted communities toward copiotrophic and functionally beneficial taxa, whereas IC and Control were dominated by stress-tolerant oligotrophs. Pathway analysis showed that carbon fixation dominated the C-cycling gene pool, with alternative autotrophic pathways prevailing over the Calvin cycle, particularly under OM and INM. These treatments also supported higher abundances of methanogenic and decomposition-associated genes, indicating enhanced carbon turnover. Nitrogen-cycling functions exhibited pathway-specific responses: OM enriched N-fixation and assimilatory nitrate reduction genes, whereas INM enhanced denitrification and dissimilatory nitrate reduction pathways. IC showed increased nitrification potential but the weakest biologically regulated N pathways. Volatomics profiling showed that OM and INM produced more diverse and metabolically active volatile organic compounds that were strongly associated with SOC and key biological attributes. Collectively, our study underscores the importance of carbon-rich organic inputs in rebuilding soil carbon stocks, reinforcing biological processes, and enhancing nutrient cycling for long-term sustainability of agriculture in semi-arid tropical regions.},
}
RevDate: 2026-06-13
Divergent responses of prokaryotic and eukaryotic microbiomes drive assembly, stability, and functional dynamics in the Bohai sea.
Marine environmental research, 220:108193 pii:S0141-1136(26)00362-4 [Epub ahead of print].
Coastal oceans, critical for biodiversity and biogeochemistry, are increasingly altered by anthropogenic pressures that interact with natural spatiotemporal variability. However, the relative influence of spatial versus temporal drivers on microbiomes assembly, association, and function remains unclear. To resolve this, we integrated multi-kingdom amplicon and metagenomic sequencing to analyze microbial communities across spatial (Laizhou Bay vs. open Bohai Sea) and temporal (seasonal to interannual) gradients in the Bohai Sea, a semi-enclosed coastal system heavily influenced by recurrent human activities. Our results demonstrate that temporal variation exerts relatively stronger influences than spatial heterogeneity on the structure and dynamics of microbial communities in the Bohai Sea. Microeukaryotes exhibited the greatest responsiveness to spatiotemporal change, followed by archaea, with bacteria showing the highest stability. Archaeal and microeukaryotic communities were primarily governed by stochastic processes, whereas bacterial assembly transitioned from deterministic to stochastic control along spatiotemporal gradients. Microbiome co-occurrence networks were increasingly complex but less stable under spatiotemporal variability, dominated by competitive interactions and demonstrating a clear complexity-stability trade-off. Metagenomic analysis revealed a scale-dependent hierarchy of environmental drivers regulating metabolic pathways, with temperature predominant at the regional scale, DO in summer, and DON within homogeneous sub-regions. Two parallel microbial strategies for coping with anthropogenic pressure were identified, including enhanced catabolic pathways for xenobiotic degradation and a seasonally dynamic, mobile antibiotic resistome. This study provides a multidimensional and systematic perspective by demonstrating that temporal dynamics are the principal regulator of coastal microbiomes structure, stability, and function, with critical implications for predicting the responses of anthropogenically stressed coastal ecosystems under continuous environmental change.
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@article {pmid42287872,
year = {2026},
author = {Wu, J and Wang, B and Li, Y and Zhang, X and Peng, Y and Liu, Q and Zhang, C and Lian, B and Cao, H and Li, K and Wang, H},
title = {Divergent responses of prokaryotic and eukaryotic microbiomes drive assembly, stability, and functional dynamics in the Bohai sea.},
journal = {Marine environmental research},
volume = {220},
number = {},
pages = {108193},
doi = {10.1016/j.marenvres.2026.108193},
pmid = {42287872},
issn = {1879-0291},
abstract = {Coastal oceans, critical for biodiversity and biogeochemistry, are increasingly altered by anthropogenic pressures that interact with natural spatiotemporal variability. However, the relative influence of spatial versus temporal drivers on microbiomes assembly, association, and function remains unclear. To resolve this, we integrated multi-kingdom amplicon and metagenomic sequencing to analyze microbial communities across spatial (Laizhou Bay vs. open Bohai Sea) and temporal (seasonal to interannual) gradients in the Bohai Sea, a semi-enclosed coastal system heavily influenced by recurrent human activities. Our results demonstrate that temporal variation exerts relatively stronger influences than spatial heterogeneity on the structure and dynamics of microbial communities in the Bohai Sea. Microeukaryotes exhibited the greatest responsiveness to spatiotemporal change, followed by archaea, with bacteria showing the highest stability. Archaeal and microeukaryotic communities were primarily governed by stochastic processes, whereas bacterial assembly transitioned from deterministic to stochastic control along spatiotemporal gradients. Microbiome co-occurrence networks were increasingly complex but less stable under spatiotemporal variability, dominated by competitive interactions and demonstrating a clear complexity-stability trade-off. Metagenomic analysis revealed a scale-dependent hierarchy of environmental drivers regulating metabolic pathways, with temperature predominant at the regional scale, DO in summer, and DON within homogeneous sub-regions. Two parallel microbial strategies for coping with anthropogenic pressure were identified, including enhanced catabolic pathways for xenobiotic degradation and a seasonally dynamic, mobile antibiotic resistome. This study provides a multidimensional and systematic perspective by demonstrating that temporal dynamics are the principal regulator of coastal microbiomes structure, stability, and function, with critical implications for predicting the responses of anthropogenically stressed coastal ecosystems under continuous environmental change.},
}
RevDate: 2026-06-13
Bacterial communities and antibiotic resistance genes in seawater adjacent to inhabited and uninhabited xisha coral reef islands: Insights from 16S rRNA and metagenomic sequencing.
Marine environmental research, 220:108197 pii:S0141-1136(26)00366-1 [Epub ahead of print].
The Xisha coral reefs are highly biodiverse ecosystems in the South China Sea, China. Bacterial communities drive energy flow and biogeochemical cycling in coral-reef ecosystems, and serve as indicators of reef health. Yet the composition and dynamics of both bacterial assemblages and ARGs within the Xisha coral reefs remain poorly resolved. This study used 16S rRNA amplicon and metagenomic sequencing to compare bacterial community structure across surface and bottom waters, and surface-water ARGs profiles, in Beijiao Reef (BJ; an uninhabited reef) and Qilianyu Islands (QLY; an inhabited island) of the Xisha Islands. The results revealed bacterial community composition, bacterial co-occurrence network structure, and ARGs profiles differed markedly between the two reef areas. Dominant genera-Prochlorococcus_MIT9313, Salinimonas, Synechococcus_CC9902, Vibrio, and Alteromonas-were significantly more abundant in BJ (p < 0.05), whereas QLY showed higher abundances of Planococcus, Psychrobacter, Jeotgalibacillus, Salinicoccus, and Marinococcus (p < 0.05). The QLY bacterial co-occurrence network exhibited greater complexity (higher clustering coefficients and modularity), whereas the BJ network was simpler but displayed significantly higher closeness-centrality values (p < 0.001). Surface waters of the Xisha Islands were dominated by tetracycline, aminoglycoside, and macrolide resistance genes, whereas sulfonamide and multidrug resistance genes were less abundant. In addition, ARGs concentrations in BJ were slightly higher than those in QLY, suggesting that human habitation may not be a key environmental factor influencing ARGs concentrations in the seawater of the Xisha Islands. Correlation analysis showed that high-abundance ARGs in BJ (msbA, RanA, tetB(P), tet(T)) were linked to phototrophic Prochlorococcus_MIT9313 and Synechococcus_CC9902, whereas QLY dominant ARGs (baeS, patB, MexW) correlated with Gram-negative Vibrio and Pseudomonas. These ARGs are involved in bacterial efflux mechanisms, reflecting adaptive responses to environmental stress. This study provides valuable insights for assessing water quality and evaluating the impacts of human habitation pressure on coral reef ecosystems in the Xisha Islands.
Additional Links: PMID-42287875
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@article {pmid42287875,
year = {2026},
author = {Yang, X and Wu, P and Li, C and Zheng, Q and Shi, X and Su, H and Wang, T and Xiong, X and Liu, Y and Xiao, Y and Xu, S and Zou, J and Liu, Y},
title = {Bacterial communities and antibiotic resistance genes in seawater adjacent to inhabited and uninhabited xisha coral reef islands: Insights from 16S rRNA and metagenomic sequencing.},
journal = {Marine environmental research},
volume = {220},
number = {},
pages = {108197},
doi = {10.1016/j.marenvres.2026.108197},
pmid = {42287875},
issn = {1879-0291},
abstract = {The Xisha coral reefs are highly biodiverse ecosystems in the South China Sea, China. Bacterial communities drive energy flow and biogeochemical cycling in coral-reef ecosystems, and serve as indicators of reef health. Yet the composition and dynamics of both bacterial assemblages and ARGs within the Xisha coral reefs remain poorly resolved. This study used 16S rRNA amplicon and metagenomic sequencing to compare bacterial community structure across surface and bottom waters, and surface-water ARGs profiles, in Beijiao Reef (BJ; an uninhabited reef) and Qilianyu Islands (QLY; an inhabited island) of the Xisha Islands. The results revealed bacterial community composition, bacterial co-occurrence network structure, and ARGs profiles differed markedly between the two reef areas. Dominant genera-Prochlorococcus_MIT9313, Salinimonas, Synechococcus_CC9902, Vibrio, and Alteromonas-were significantly more abundant in BJ (p < 0.05), whereas QLY showed higher abundances of Planococcus, Psychrobacter, Jeotgalibacillus, Salinicoccus, and Marinococcus (p < 0.05). The QLY bacterial co-occurrence network exhibited greater complexity (higher clustering coefficients and modularity), whereas the BJ network was simpler but displayed significantly higher closeness-centrality values (p < 0.001). Surface waters of the Xisha Islands were dominated by tetracycline, aminoglycoside, and macrolide resistance genes, whereas sulfonamide and multidrug resistance genes were less abundant. In addition, ARGs concentrations in BJ were slightly higher than those in QLY, suggesting that human habitation may not be a key environmental factor influencing ARGs concentrations in the seawater of the Xisha Islands. Correlation analysis showed that high-abundance ARGs in BJ (msbA, RanA, tetB(P), tet(T)) were linked to phototrophic Prochlorococcus_MIT9313 and Synechococcus_CC9902, whereas QLY dominant ARGs (baeS, patB, MexW) correlated with Gram-negative Vibrio and Pseudomonas. These ARGs are involved in bacterial efflux mechanisms, reflecting adaptive responses to environmental stress. This study provides valuable insights for assessing water quality and evaluating the impacts of human habitation pressure on coral reef ecosystems in the Xisha Islands.},
}
RevDate: 2026-06-13
The ablation cycle drives glacier microbiome dynamics and downstream dissemination risk of the resistome.
Journal of hazardous materials, 514:142686 pii:S0304-3894(26)01665-1 [Epub ahead of print].
Glacial ecosystems on the Tibetan Plateau undergo pronounced hydrological shifts across the glacial ablation cycle, driven by the onset and retreat of the Indian summer monsoon. To elucidate how transitions between four distinct hydrological ablation stages (pre-ablation, early ablation, late ablation, and frozen) shape microbial community structures and antibiotic resistance gene (ARG) profiles, we analyzed 112 samples collected across four stages from multiple glacier catchments on the southeastern Tibetan Plateau using metagenomic sequencing. Our results indicated that warmer stages favored thermotolerant Proteobacteria and reduced overall community diversity and evenness. ARG abundances exhibited ablation-dependent fluctuations, with Betaproteobacteria identified as predominant potential hosts. Furthermore, ARGs and virulence factors associated with mobile genetic elements were enriched during early and late ablation stages relative to the frozen stage, suggesting elevated potential for horizontal gene transfer coinciding with peak meltwater discharge. Notably, while upstream meltwaters generally exhibited higher ARG abundances, the upstream-downstream disparity tended to diminish from the pre-ablation to the late ablation stage, likely reflecting enhanced microbial mixing driven by glacier melt. Together, these findings reveal that glacier meltwater microbiomes are primarily shaped by ablation dynamics rather than spatial heterogeneity. More importantly, dynamics across the glacial ablation cycle drive shifts in meltwater hydrology that facilitate the downstream environmental mobility of glacial resistomes, posing growing antimicrobial resistance risks within the One Health framework.
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@article {pmid42287910,
year = {2026},
author = {Li, H and Li, Y and Zhang, Z and Li, X and Zhao, K and Fan, Z and Liu, K},
title = {The ablation cycle drives glacier microbiome dynamics and downstream dissemination risk of the resistome.},
journal = {Journal of hazardous materials},
volume = {514},
number = {},
pages = {142686},
doi = {10.1016/j.jhazmat.2026.142686},
pmid = {42287910},
issn = {1873-3336},
abstract = {Glacial ecosystems on the Tibetan Plateau undergo pronounced hydrological shifts across the glacial ablation cycle, driven by the onset and retreat of the Indian summer monsoon. To elucidate how transitions between four distinct hydrological ablation stages (pre-ablation, early ablation, late ablation, and frozen) shape microbial community structures and antibiotic resistance gene (ARG) profiles, we analyzed 112 samples collected across four stages from multiple glacier catchments on the southeastern Tibetan Plateau using metagenomic sequencing. Our results indicated that warmer stages favored thermotolerant Proteobacteria and reduced overall community diversity and evenness. ARG abundances exhibited ablation-dependent fluctuations, with Betaproteobacteria identified as predominant potential hosts. Furthermore, ARGs and virulence factors associated with mobile genetic elements were enriched during early and late ablation stages relative to the frozen stage, suggesting elevated potential for horizontal gene transfer coinciding with peak meltwater discharge. Notably, while upstream meltwaters generally exhibited higher ARG abundances, the upstream-downstream disparity tended to diminish from the pre-ablation to the late ablation stage, likely reflecting enhanced microbial mixing driven by glacier melt. Together, these findings reveal that glacier meltwater microbiomes are primarily shaped by ablation dynamics rather than spatial heterogeneity. More importantly, dynamics across the glacial ablation cycle drive shifts in meltwater hydrology that facilitate the downstream environmental mobility of glacial resistomes, posing growing antimicrobial resistance risks within the One Health framework.},
}
RevDate: 2026-06-13
Diagnostic Performance and Clinical Impact of Metagenomic Next-Generation Sequencing in 841 Patients with Suspected Lower Respiratory Tract Infections: A Four-Year Retrospective Study from a Tertiary Hospital in Shenzhen, China.
International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases pii:S1201-9712(26)00520-5 [Epub ahead of print].
BACKGROUND: Accurate pathogen identification is critical for managing lower respiratory tract infections (LRTIs), particularly in suspected polymicrobial infection or after empiric treatment failure. Although metagenomic next-generation sequencing (mNGS) has been increasingly used in clinical practice, its long-term diagnostic performance and clinical impact in LRTIs have not been systematically evaluated in a large single-center cohort.
METHODS: We conducted a retrospective cohort study of 841 hospitalized patients with suspected LRTIs who underwent bronchoalveolar lavage fluid (BALF) testing by both mNGS and conventional culture between December 2021 and December 2025. Positive detection rates, polymicrobial identification, pathogen distributions across age and underlying disease categories, method concordance, and clinical impact were evaluated.
RESULTS: mNGS yielded significantly higher overall and polymicrobial detection rates than culture. Pathogen profiles differed between mNGS and culture and varied across age and underlying diseases subgroups. Over half of pathogens were identified exclusively by mNGS, and over half of these mNGS-exclusive detections influenced diagnostic and antimicrobial management. Furthermore, Mycobacterium tuberculosis complex, nontuberculous mycobacteria, Cryptococcus neoformans, and Pneumocystis jirovecii retained clinical significance even at low sequencing read counts.
CONCLUSIONS: In this real-world cohort, mNGS expanded pathogen detection, improved recognition of mixed infections, and provided meaningful clinical value in LRTI.
Additional Links: PMID-42288243
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@article {pmid42288243,
year = {2026},
author = {Huiling, Y and Jinghui, Z and Xinxin, Y and Hang, J and Jianxiang, W and Lina, Z and Ping, XU and Chao, Z and Jianming, MO and Jing, D and Haixia, LI and Jie, LI and Ling, JI and Chang, LU},
title = {Diagnostic Performance and Clinical Impact of Metagenomic Next-Generation Sequencing in 841 Patients with Suspected Lower Respiratory Tract Infections: A Four-Year Retrospective Study from a Tertiary Hospital in Shenzhen, China.},
journal = {International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases},
volume = {},
number = {},
pages = {108885},
doi = {10.1016/j.ijid.2026.108885},
pmid = {42288243},
issn = {1878-3511},
abstract = {BACKGROUND: Accurate pathogen identification is critical for managing lower respiratory tract infections (LRTIs), particularly in suspected polymicrobial infection or after empiric treatment failure. Although metagenomic next-generation sequencing (mNGS) has been increasingly used in clinical practice, its long-term diagnostic performance and clinical impact in LRTIs have not been systematically evaluated in a large single-center cohort.
METHODS: We conducted a retrospective cohort study of 841 hospitalized patients with suspected LRTIs who underwent bronchoalveolar lavage fluid (BALF) testing by both mNGS and conventional culture between December 2021 and December 2025. Positive detection rates, polymicrobial identification, pathogen distributions across age and underlying disease categories, method concordance, and clinical impact were evaluated.
RESULTS: mNGS yielded significantly higher overall and polymicrobial detection rates than culture. Pathogen profiles differed between mNGS and culture and varied across age and underlying diseases subgroups. Over half of pathogens were identified exclusively by mNGS, and over half of these mNGS-exclusive detections influenced diagnostic and antimicrobial management. Furthermore, Mycobacterium tuberculosis complex, nontuberculous mycobacteria, Cryptococcus neoformans, and Pneumocystis jirovecii retained clinical significance even at low sequencing read counts.
CONCLUSIONS: In this real-world cohort, mNGS expanded pathogen detection, improved recognition of mixed infections, and provided meaningful clinical value in LRTI.},
}
RevDate: 2026-06-13
Mechanistic insights into nitrogen loss during food waste composting revealed by metagenomic and qPCR analyses under varying substrate C/N ratios.
Bioresource technology pii:S0960-8524(26)01239-3 [Epub ahead of print].
Nitrogen loss during composting can be substantial; however, it can be reduced by applying new insights to better control the substrate C/N ratio and optimise overall composting performance. This study provides mechanistic insights into how substrate C/N governs nitrogen loss during kitchen waste composting. By combining nitrogen speciation analysis, qPCR, and metagenomics analyses, this study explored the potential biochemical mechanisms of nitrogen loss. The results showed that a high substrate C/N ratio significantly reduced nitrogen loss by approximately 37 % (C/N of 25) and 47 % (C/N of 30) compared to the baseline C/N of 20. A higher substrate C/N ratio enhanced nitrogen fixation and assimilation processes while suppressing ammonification and denitrification related potential. The relative abundance of key ammonification-related genera (e.g. Thermobifida and Leuconostoc) and denitrification-related genera (e.g. Pseudomonas and Geobacillus) were decreased at a high substrate C/N ratio, resulting in synergistic mitigation of NH3 and N2O emissions. A small reduction in germination index was observed at substrate C/N ratio of 30 compared with 25. Overall, the results suggest the need to optimize substrate C/N ratio for nitrogen conservation while maintaining overall composting performance.
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@article {pmid42288291,
year = {2026},
author = {Chen, K and Zhang, X and Li, G and Luo, W and Zhou, H and Shen, Y and Nghiem, LD},
title = {Mechanistic insights into nitrogen loss during food waste composting revealed by metagenomic and qPCR analyses under varying substrate C/N ratios.},
journal = {Bioresource technology},
volume = {},
number = {},
pages = {135157},
doi = {10.1016/j.biortech.2026.135157},
pmid = {42288291},
issn = {1873-2976},
abstract = {Nitrogen loss during composting can be substantial; however, it can be reduced by applying new insights to better control the substrate C/N ratio and optimise overall composting performance. This study provides mechanistic insights into how substrate C/N governs nitrogen loss during kitchen waste composting. By combining nitrogen speciation analysis, qPCR, and metagenomics analyses, this study explored the potential biochemical mechanisms of nitrogen loss. The results showed that a high substrate C/N ratio significantly reduced nitrogen loss by approximately 37 % (C/N of 25) and 47 % (C/N of 30) compared to the baseline C/N of 20. A higher substrate C/N ratio enhanced nitrogen fixation and assimilation processes while suppressing ammonification and denitrification related potential. The relative abundance of key ammonification-related genera (e.g. Thermobifida and Leuconostoc) and denitrification-related genera (e.g. Pseudomonas and Geobacillus) were decreased at a high substrate C/N ratio, resulting in synergistic mitigation of NH3 and N2O emissions. A small reduction in germination index was observed at substrate C/N ratio of 30 compared with 25. Overall, the results suggest the need to optimize substrate C/N ratio for nitrogen conservation while maintaining overall composting performance.},
}
RevDate: 2026-06-13
Direct microbiota profiling of apheresis-associated products for microbiological insights in cell therapy.
Scientific reports pii:10.1038/s41598-026-57771-0 [Epub ahead of print].
Cellular therapies require rigorous prevention of bacterial contamination during cell collection, manufacturing, and infusion. We characterized 16 S rRNA profiles in blood-derived specimens obtained during leukapheresis. Leukapheresis donors provided five specimen types: buffy coats (BCs), whole-blood plasma (WBP), apheresis plasma stored at room temperature for 24 h (AP24) and 72 h (AP72), and saliva. Species-level identification was performed using next-generation sequencing-based 16 S rRNA analysis and a database-weighted method. In total, 40 samples from eight donors were analyzed. Plasma specimens (WBP, AP24, and AP72) exhibited higher alpha diversity than saliva (Shannon index, p < 0.05). Beta diversity analysis identified three distinct clusters corresponding to BC, plasma specimens, and saliva (permutational multivariate analysis of variance, p = 0.001). Streptococcus oralis subsp. tigurinus was predominant across all specimens types, Bifidobacterium kashiwanohense predominated in blood-derived specimens, and Enhydrobacter aerosaccus was observed exclusively in plasma specimens. Skin swab culture performed before and after venipuncture site disinfection exhibited no bacterial growth post-disinfection, suggesting that skin-derived carryover is unlikely to fully explain the detected microbial DNA signals. This study provides microbial DNA profiles of various blood-derived specimens obtained during leukapheresis. These findings provide preliminary reference information that may assist interpretation of molecular microbial signals in cellular therapy manufacturing.
Additional Links: PMID-42288625
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PubMed:
Citation:
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@article {pmid42288625,
year = {2026},
author = {Shin, DW and Oh, S and Hong, YJ and Park, KU},
title = {Direct microbiota profiling of apheresis-associated products for microbiological insights in cell therapy.},
journal = {Scientific reports},
volume = {},
number = {},
pages = {},
doi = {10.1038/s41598-026-57771-0},
pmid = {42288625},
issn = {2045-2322},
abstract = {Cellular therapies require rigorous prevention of bacterial contamination during cell collection, manufacturing, and infusion. We characterized 16 S rRNA profiles in blood-derived specimens obtained during leukapheresis. Leukapheresis donors provided five specimen types: buffy coats (BCs), whole-blood plasma (WBP), apheresis plasma stored at room temperature for 24 h (AP24) and 72 h (AP72), and saliva. Species-level identification was performed using next-generation sequencing-based 16 S rRNA analysis and a database-weighted method. In total, 40 samples from eight donors were analyzed. Plasma specimens (WBP, AP24, and AP72) exhibited higher alpha diversity than saliva (Shannon index, p < 0.05). Beta diversity analysis identified three distinct clusters corresponding to BC, plasma specimens, and saliva (permutational multivariate analysis of variance, p = 0.001). Streptococcus oralis subsp. tigurinus was predominant across all specimens types, Bifidobacterium kashiwanohense predominated in blood-derived specimens, and Enhydrobacter aerosaccus was observed exclusively in plasma specimens. Skin swab culture performed before and after venipuncture site disinfection exhibited no bacterial growth post-disinfection, suggesting that skin-derived carryover is unlikely to fully explain the detected microbial DNA signals. This study provides microbial DNA profiles of various blood-derived specimens obtained during leukapheresis. These findings provide preliminary reference information that may assist interpretation of molecular microbial signals in cellular therapy manufacturing.},
}
RevDate: 2026-06-13
Enrichment risk and drivers of manure-derived antibiotic resistance genes in black soldier fly larval gut.
npj antimicrobials and resistance pii:10.1038/s44259-026-00237-0 [Epub ahead of print].
Black soldier fly larvae (BSFL) are promising for converting animal manure into protein; however, the risk of antibiotic resistance gene (ARG) enrichment in the larval gut during this process remains unclear. Here, we employed metagenomic and metatranscriptomic analyses to investigate this risk during BSFL conversion of duck manure. Our results demonstrated that within the BSFL treatment system, ARG abundance and diversity in manure decreased significantly over time. Concurrently, total abundance and transcriptional activity of ARGs in the larval gut were significantly lower than those in manure. However, comparative sequence analysis suggested the potential for ARG exchange between bacterial communities in manure and larval gut. Klebsiella, Escherichia, Citrobacter, and Pseudomonas were identified as the primary hosts in the gut. The enrichment and dynamics of these manure-derived ARGs were jointly driven by shifts in physicochemical properties (notably organic matter and total nitrogen), mobile genetic elements, and the bacterial community. Validation experiments demonstrated that modulating these key physicochemical drivers can mitigate ARG abundance in the larval gut. Overall, this study highlights the potential enrichment risk of manure-derived ARGs in the BSFL gut, identifies key hosts and drivers, and provides actionable mitigation strategies for safer BSFL application.
Additional Links: PMID-42288650
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PubMed:
Citation:
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@article {pmid42288650,
year = {2026},
author = {Yang, Y and Guo, Y and Xu, T and Wu, Y and Cao, J and Wen, Z and Liu, S},
title = {Enrichment risk and drivers of manure-derived antibiotic resistance genes in black soldier fly larval gut.},
journal = {npj antimicrobials and resistance},
volume = {},
number = {},
pages = {},
doi = {10.1038/s44259-026-00237-0},
pmid = {42288650},
issn = {2731-8745},
support = {ASTIP//the Agricultural Science and Technology Innovation Program/ ; 2022YFD1301800//National Key R&D Program of China/ ; CARS-42-10//China Agriculture Research System of MOF and MARA/ ; 325QN438//Hainan Provincial Natural Science Foundation of Chin/ ; },
abstract = {Black soldier fly larvae (BSFL) are promising for converting animal manure into protein; however, the risk of antibiotic resistance gene (ARG) enrichment in the larval gut during this process remains unclear. Here, we employed metagenomic and metatranscriptomic analyses to investigate this risk during BSFL conversion of duck manure. Our results demonstrated that within the BSFL treatment system, ARG abundance and diversity in manure decreased significantly over time. Concurrently, total abundance and transcriptional activity of ARGs in the larval gut were significantly lower than those in manure. However, comparative sequence analysis suggested the potential for ARG exchange between bacterial communities in manure and larval gut. Klebsiella, Escherichia, Citrobacter, and Pseudomonas were identified as the primary hosts in the gut. The enrichment and dynamics of these manure-derived ARGs were jointly driven by shifts in physicochemical properties (notably organic matter and total nitrogen), mobile genetic elements, and the bacterial community. Validation experiments demonstrated that modulating these key physicochemical drivers can mitigate ARG abundance in the larval gut. Overall, this study highlights the potential enrichment risk of manure-derived ARGs in the BSFL gut, identifies key hosts and drivers, and provides actionable mitigation strategies for safer BSFL application.},
}
RevDate: 2026-06-14
Fate and transport of viruses, bacteria and antimicrobial resistance associated with wet wipes and microplastics through wastewater treatment to coastal waters.
Water research, 303:126281 pii:S0043-1354(26)00960-7 [Epub ahead of print].
Microplastics (MPs) in wastewater are increasingly recognised as potential vectors for pathogens and antimicrobial resistance (AMR), yet their role across treatment remains poorly understood. This study tracked viral, bacterial, and AMR associations with MPs from hospital wastewater through to coastal receiving waters, including simulated combined sewer overflow (CSO) events, using quantitative real-time PCR, and shotgun metagenomics. MP concentrations found naturally in the wastewater matrix, declined from 467 to 33 particles L[-1] during WWTP passage, achieving 93% removal. Norovirus (GI and GII) and bacteria colonised beads and wet wipes throughout, with wet wipes retaining higher viral and AMR loads than plastic beads, likely due to structural complexity. Sequential sampling across treatment stages showed a reduction in norovirus and bacterial loads by ∼1 log, yet pathogens remained detectable on beads and wet wipes in final effluent. NoV GI predominated, while NoV GII concentrations and the class I integron-integrase (intI1) gene varied by treatment stage and sample type. Metagenomics showed enrichment of potentially pathogenic genera (Aeromonas, Pseudomonas, Flavobacterium) in bead and wet wipe biofilms, and network analysis identified associations between Aeromonas and clinically relevant beta-lactam resistance genes (OXA, CTX). Shifts at the activated sludge stage indicated bead and wet wipe associated communities in effluent reflect treatment microbiota rather than influent sources. Environmental MP concentrations are below those required to deliver an infectious viral dose, suggesting MP-mediated transmission is unlikely under normal conditions. However, during CSO events, beads and wet wipes retained high viral loads and may act as pathogen transport vectors. These findings highlight CSO management as a priority for reducing MP-associated pathogen risks in receiving waters.
Additional Links: PMID-42289139
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PubMed:
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@article {pmid42289139,
year = {2026},
author = {Kevill, JL and Knight, ME and Jain, Y and Marsden, KA and Williams, RC and Herridge, K and Courtene-Jones, W and Robins, P and Malham, SK and Jones, DL},
title = {Fate and transport of viruses, bacteria and antimicrobial resistance associated with wet wipes and microplastics through wastewater treatment to coastal waters.},
journal = {Water research},
volume = {303},
number = {},
pages = {126281},
doi = {10.1016/j.watres.2026.126281},
pmid = {42289139},
issn = {1879-2448},
abstract = {Microplastics (MPs) in wastewater are increasingly recognised as potential vectors for pathogens and antimicrobial resistance (AMR), yet their role across treatment remains poorly understood. This study tracked viral, bacterial, and AMR associations with MPs from hospital wastewater through to coastal receiving waters, including simulated combined sewer overflow (CSO) events, using quantitative real-time PCR, and shotgun metagenomics. MP concentrations found naturally in the wastewater matrix, declined from 467 to 33 particles L[-1] during WWTP passage, achieving 93% removal. Norovirus (GI and GII) and bacteria colonised beads and wet wipes throughout, with wet wipes retaining higher viral and AMR loads than plastic beads, likely due to structural complexity. Sequential sampling across treatment stages showed a reduction in norovirus and bacterial loads by ∼1 log, yet pathogens remained detectable on beads and wet wipes in final effluent. NoV GI predominated, while NoV GII concentrations and the class I integron-integrase (intI1) gene varied by treatment stage and sample type. Metagenomics showed enrichment of potentially pathogenic genera (Aeromonas, Pseudomonas, Flavobacterium) in bead and wet wipe biofilms, and network analysis identified associations between Aeromonas and clinically relevant beta-lactam resistance genes (OXA, CTX). Shifts at the activated sludge stage indicated bead and wet wipe associated communities in effluent reflect treatment microbiota rather than influent sources. Environmental MP concentrations are below those required to deliver an infectious viral dose, suggesting MP-mediated transmission is unlikely under normal conditions. However, during CSO events, beads and wet wipes retained high viral loads and may act as pathogen transport vectors. These findings highlight CSO management as a priority for reducing MP-associated pathogen risks in receiving waters.},
}
RevDate: 2026-06-14
Artificial intelligence in clinical metagenomic pathogen detection: A critical review of pipeline integrations, challenges, and future directions.
Journal of microbiological methods pii:S0167-7012(26)00204-6 [Epub ahead of print].
Metagenomic next-generation sequencing (mNGS) has expanded the scope of clinical diagnostics by enabling culture-independent detection of microorganisms in patient samples. However, mNGS clinical utility remains constrained by substantial computational demands, reference database biases, and the persistent challenge of distinguishing true pathogens from host background, commensal flora and environmental contamination. Traditional alignment and k-mer-based bioinformatics pipelines frequently struggle to balance speed, sensitivity, and the ability to detect highly divergent or novel organisms. This review critically synthesizes the current landscape of Artificial Intelligence (AI) and Machine Learning (ML) applications across the mNGS diagnostic pipeline, examining deep learning architectures-including Convolutional Neural Networks (CNNs), Long Short-Term Memory networks (LSTMs), and Transformers-as integrated into raw read processing, host sequence depletion, primary taxonomic classification, and ancillary detection of antimicrobial resistance (AMR) and virulence factors. While several AI methodologies report high classification accuracy in benchmarking studies, we note that most performance claims derive from simulated datasets or controlled mock communities rather than prospective clinical validation. Significant gaps persist, including limited AI integration in front-end signal optimization, inadequate automated clinical reporting, absence of standardized benchmarking metrics, and unresolved questions regarding data leakage, reproducibility, and generalizability. Successful clinical translation will require addressing the interpretability limitations of current explainable AI approaches, navigating complex and evolving regulatory landscapes for Software as a Medical Device (SaMD), and bridging the gap between computational feasibility and demonstrated patient-outcome benefit. The development of genomic foundation models and multi-modal clinical integration holds promise for advancing mNGS toward real-time, actionable diagnostics, though substantial evidence gaps remain between current proof-of-concept demonstrations and validated clinical deployment.
Additional Links: PMID-42289215
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PubMed:
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@article {pmid42289215,
year = {2026},
author = {Dai, J and Tan, X and Ma, J},
title = {Artificial intelligence in clinical metagenomic pathogen detection: A critical review of pipeline integrations, challenges, and future directions.},
journal = {Journal of microbiological methods},
volume = {},
number = {},
pages = {107592},
doi = {10.1016/j.mimet.2026.107592},
pmid = {42289215},
issn = {1872-8359},
abstract = {Metagenomic next-generation sequencing (mNGS) has expanded the scope of clinical diagnostics by enabling culture-independent detection of microorganisms in patient samples. However, mNGS clinical utility remains constrained by substantial computational demands, reference database biases, and the persistent challenge of distinguishing true pathogens from host background, commensal flora and environmental contamination. Traditional alignment and k-mer-based bioinformatics pipelines frequently struggle to balance speed, sensitivity, and the ability to detect highly divergent or novel organisms. This review critically synthesizes the current landscape of Artificial Intelligence (AI) and Machine Learning (ML) applications across the mNGS diagnostic pipeline, examining deep learning architectures-including Convolutional Neural Networks (CNNs), Long Short-Term Memory networks (LSTMs), and Transformers-as integrated into raw read processing, host sequence depletion, primary taxonomic classification, and ancillary detection of antimicrobial resistance (AMR) and virulence factors. While several AI methodologies report high classification accuracy in benchmarking studies, we note that most performance claims derive from simulated datasets or controlled mock communities rather than prospective clinical validation. Significant gaps persist, including limited AI integration in front-end signal optimization, inadequate automated clinical reporting, absence of standardized benchmarking metrics, and unresolved questions regarding data leakage, reproducibility, and generalizability. Successful clinical translation will require addressing the interpretability limitations of current explainable AI approaches, navigating complex and evolving regulatory landscapes for Software as a Medical Device (SaMD), and bridging the gap between computational feasibility and demonstrated patient-outcome benefit. The development of genomic foundation models and multi-modal clinical integration holds promise for advancing mNGS toward real-time, actionable diagnostics, though substantial evidence gaps remain between current proof-of-concept demonstrations and validated clinical deployment.},
}
RevDate: 2026-06-14
Mechanistic insights into superior biofilm formation with heterotrophic nitrification-aerobic denitrification bacteria under polypropylene microplastic stress.
Bioresource technology pii:S0960-8524(26)01241-1 [Epub ahead of print].
Microplastics may disturb microbial activity and biofilm development in biological wastewater treatment systems, yet the response of three-dimensional rotating biological contactor start-up biofilms to polypropylene microplastic stress remains unclear. This study evaluated a biofilm initiation strategy using heterotrophic nitrification-aerobic denitrification (HN-AD) bacteria (H-3D-RBCs) and compared it with activated sludge-inoculated systems (A-3D-RBCs) under polypropylene microplastic (PP-MP) exposure. H-3D-RBCs showed superior resistance to PP-MP disturbance, with total nitrogen removal decreasing by only 14 %, compared with an approximately 60 % decline in A-3D-RBCs. Respiratory activity inhibition remained below 15 % in H-3D-RBCs but exceeded 90 % in A-3D-RBCs. 16S rRNA gene sequencing showed that PP-MP reduced species richness and diversity in A-3D-RBCs and was associated with a > 90 % loss of core denitrifying genera, including Corynebacterium and Pseudoxanthomonas, whereas H-3D-RBCs maintained community stability and enriched Pseudoxanthomonas to 13.8 %. Metagenomic analysis indicated that PP-MP impaired nitrification and denitrification potential in A-3D-RBCs, as reflected by decreased genes encoding AMO and HAO, a 51.78 % decrease in nosZ abundance, and enhanced dissimilatory nitrate reduction to ammonium (DNRA), which likely intensified competition with denitrification and promoted nitrogen conversion to ammonia. In contrast, H-3D-RBCs suppressed DNRA and maintained high nosZ abundance. Untargeted metabolomics further showed that PP-MP was associated with metabolic disorders in A-3D-RBCs, especially disruptions in alanine, aspartate, and glutamate metabolism and arginine biosynthesis, whereas H-3D-RBCs preserved these key nitrogen metabolic processes. Overall, this study identifies key vulnerabilities of nitrogen-removal biofilms under PP-MP disturbance and provides multi-omics evidence to support the development of microplastic-resistant biofilm wastewater treatment systems.
Additional Links: PMID-42289247
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PubMed:
Citation:
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@article {pmid42289247,
year = {2026},
author = {Lin, Y and Nie, B and Liu, X and Zhang, Q},
title = {Mechanistic insights into superior biofilm formation with heterotrophic nitrification-aerobic denitrification bacteria under polypropylene microplastic stress.},
journal = {Bioresource technology},
volume = {},
number = {},
pages = {135159},
doi = {10.1016/j.biortech.2026.135159},
pmid = {42289247},
issn = {1873-2976},
abstract = {Microplastics may disturb microbial activity and biofilm development in biological wastewater treatment systems, yet the response of three-dimensional rotating biological contactor start-up biofilms to polypropylene microplastic stress remains unclear. This study evaluated a biofilm initiation strategy using heterotrophic nitrification-aerobic denitrification (HN-AD) bacteria (H-3D-RBCs) and compared it with activated sludge-inoculated systems (A-3D-RBCs) under polypropylene microplastic (PP-MP) exposure. H-3D-RBCs showed superior resistance to PP-MP disturbance, with total nitrogen removal decreasing by only 14 %, compared with an approximately 60 % decline in A-3D-RBCs. Respiratory activity inhibition remained below 15 % in H-3D-RBCs but exceeded 90 % in A-3D-RBCs. 16S rRNA gene sequencing showed that PP-MP reduced species richness and diversity in A-3D-RBCs and was associated with a > 90 % loss of core denitrifying genera, including Corynebacterium and Pseudoxanthomonas, whereas H-3D-RBCs maintained community stability and enriched Pseudoxanthomonas to 13.8 %. Metagenomic analysis indicated that PP-MP impaired nitrification and denitrification potential in A-3D-RBCs, as reflected by decreased genes encoding AMO and HAO, a 51.78 % decrease in nosZ abundance, and enhanced dissimilatory nitrate reduction to ammonium (DNRA), which likely intensified competition with denitrification and promoted nitrogen conversion to ammonia. In contrast, H-3D-RBCs suppressed DNRA and maintained high nosZ abundance. Untargeted metabolomics further showed that PP-MP was associated with metabolic disorders in A-3D-RBCs, especially disruptions in alanine, aspartate, and glutamate metabolism and arginine biosynthesis, whereas H-3D-RBCs preserved these key nitrogen metabolic processes. Overall, this study identifies key vulnerabilities of nitrogen-removal biofilms under PP-MP disturbance and provides multi-omics evidence to support the development of microplastic-resistant biofilm wastewater treatment systems.},
}
RevDate: 2026-06-14
Fatigue-associated gut bacteria in Japanese healthy adults characterized by metagenomic analysis.
Scientific reports pii:10.1038/s41598-026-56821-x [Epub ahead of print].
Emerging evidence suggests that fatigue caused by accumulated stress may serve as a prodromal symptom of psychiatric disorders, and gut microbiome dysbiosis has been reported in many such conditions. However, little is known about microbial and metabolic signatures associated with fatigue in otherwise healthy individuals. This study aimed to investigate associations between fatigue, the gut microbiome, and fecal metabolites in healthy Japanese adults. We identified characteristic microbial and metabolic differences specific to fatigued healthy individuals. Taxonomic analysis revealed a reduction in potentially beneficial bacteria and an enrichment of Escherichia coli in their gut microbiome. Functional profiling demonstrated enrichment of KEGG orthologs related to oxidative stress and depletion of energy-producing pathways. Correspondingly, key energy metabolites such as citrate were decreased. Notably, some fatigue-associated bacterial alterations overlapped with findings from external datasets on psychiatric disorders and myalgic encephalomyelitis/chronic fatigue syndrome, suggesting associative overlap in gut microbial alterations. These findings suggest associations between host fatigue and gut microbiome alterations involving oxidative stress and impaired energy metabolism. The consistent overlap of fatigue-associated microbial changes with those observed in psychiatric disorders highlights the potential relevance of gut microbial signatures in fatigue-related biological states. This study provides a foundation for future studies on gut microbial and metabolic pathways.
Additional Links: PMID-42289444
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PubMed:
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@article {pmid42289444,
year = {2026},
author = {Masuoka, H and Miyatake, T and Park, J and Negishi, H and Kurokawa, R and Tsuchihashi, H and Makino, S and Suda, W},
title = {Fatigue-associated gut bacteria in Japanese healthy adults characterized by metagenomic analysis.},
journal = {Scientific reports},
volume = {},
number = {},
pages = {},
doi = {10.1038/s41598-026-56821-x},
pmid = {42289444},
issn = {2045-2322},
support = {J24K18210//Japan Society for the Promotion of Science, Japan/ ; J24K01676//Japan Society for the Promotion of Science, Japan/ ; },
abstract = {Emerging evidence suggests that fatigue caused by accumulated stress may serve as a prodromal symptom of psychiatric disorders, and gut microbiome dysbiosis has been reported in many such conditions. However, little is known about microbial and metabolic signatures associated with fatigue in otherwise healthy individuals. This study aimed to investigate associations between fatigue, the gut microbiome, and fecal metabolites in healthy Japanese adults. We identified characteristic microbial and metabolic differences specific to fatigued healthy individuals. Taxonomic analysis revealed a reduction in potentially beneficial bacteria and an enrichment of Escherichia coli in their gut microbiome. Functional profiling demonstrated enrichment of KEGG orthologs related to oxidative stress and depletion of energy-producing pathways. Correspondingly, key energy metabolites such as citrate were decreased. Notably, some fatigue-associated bacterial alterations overlapped with findings from external datasets on psychiatric disorders and myalgic encephalomyelitis/chronic fatigue syndrome, suggesting associative overlap in gut microbial alterations. These findings suggest associations between host fatigue and gut microbiome alterations involving oxidative stress and impaired energy metabolism. The consistent overlap of fatigue-associated microbial changes with those observed in psychiatric disorders highlights the potential relevance of gut microbial signatures in fatigue-related biological states. This study provides a foundation for future studies on gut microbial and metabolic pathways.},
}
RevDate: 2026-06-14
CmpDate: 2026-06-14
Variations in methane emissions from dairy cows: associations with rumen microbial synergy and metabolic pathway divergence.
Journal of animal science and biotechnology, 17(1):.
BACKGROUND: Methane (CH4) is a metabolic by-product of rumen microbial fermentation, contributing significantly to global warming and dietary energy loss. Elucidating the mechanisms underlying natural variation in rumen methanogenesis is essential for the development of effective CH4 mitigation strategies. Here, we applied rumen metagenomics to identify the microbial mechanisms for differences in enteric CH4 emissions among dairy cows.
RESULTS: Enteric CH4 emissions from 111 lactating dairy cows under normal feeding conditions were utilized to characterize the natural variation in rumen methanogenesis. Metagenomic analysis revealed that the comprehensive effects of bacteria involved in starch degradation, lactate metabolism, and volatile fatty acid biosynthesis provide distinct amounts of hydrogen for rumen methanogenesis in high-methane-producing (HMP) and low-methane-producing (LMP) cows. Ciliate protozoa were universally abundant in HMP cows (P < 0.05), whereas methanogens enrichment exhibited heterogeneity, with the dominant methanogen Methanobrevibacter exhibiting negative correlations with the other 11 methanogens (P < 0.05). Six nutrient metabolic pathways modulating methanogenesis were identified, and HMP-associated methanogenesis was further driven by upregulated formate metabolism and acetoclastic pathways (P < 0.05). Random forest model analysis screened 34 microbial genera as biomarkers for CH4 production.
CONCLUSIONS: This study excluded extrinsic confounders exist for rumen microbiome and CH4 emissions in dairy cows. These findings elucidated the causal microbial and metabolic mechanisms underlying rumen methanogenesis, providing actionable targets for microbiome-based strategies to mitigate CH4 emissions from livestock farming.
Additional Links: PMID-42289756
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Citation:
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@article {pmid42289756,
year = {2026},
author = {Jia, P and Dong, L and Ma, T and Bi, Y and Tu, Y and Diao, Q},
title = {Variations in methane emissions from dairy cows: associations with rumen microbial synergy and metabolic pathway divergence.},
journal = {Journal of animal science and biotechnology},
volume = {17},
number = {1},
pages = {},
pmid = {42289756},
issn = {1674-9782},
support = {2024YFD1300200//the National key Research and Development Program/ ; CAAS-ASTIP//the Agricultural Science and Technology Innovation Program/ ; },
abstract = {BACKGROUND: Methane (CH4) is a metabolic by-product of rumen microbial fermentation, contributing significantly to global warming and dietary energy loss. Elucidating the mechanisms underlying natural variation in rumen methanogenesis is essential for the development of effective CH4 mitigation strategies. Here, we applied rumen metagenomics to identify the microbial mechanisms for differences in enteric CH4 emissions among dairy cows.
RESULTS: Enteric CH4 emissions from 111 lactating dairy cows under normal feeding conditions were utilized to characterize the natural variation in rumen methanogenesis. Metagenomic analysis revealed that the comprehensive effects of bacteria involved in starch degradation, lactate metabolism, and volatile fatty acid biosynthesis provide distinct amounts of hydrogen for rumen methanogenesis in high-methane-producing (HMP) and low-methane-producing (LMP) cows. Ciliate protozoa were universally abundant in HMP cows (P < 0.05), whereas methanogens enrichment exhibited heterogeneity, with the dominant methanogen Methanobrevibacter exhibiting negative correlations with the other 11 methanogens (P < 0.05). Six nutrient metabolic pathways modulating methanogenesis were identified, and HMP-associated methanogenesis was further driven by upregulated formate metabolism and acetoclastic pathways (P < 0.05). Random forest model analysis screened 34 microbial genera as biomarkers for CH4 production.
CONCLUSIONS: This study excluded extrinsic confounders exist for rumen microbiome and CH4 emissions in dairy cows. These findings elucidated the causal microbial and metabolic mechanisms underlying rumen methanogenesis, providing actionable targets for microbiome-based strategies to mitigate CH4 emissions from livestock farming.},
}
RevDate: 2026-06-15
Probiotic, synbiotic effects on the gut-liver axis: omics-enabled mechanisms and therapeutic windows.
Future microbiology [Epub ahead of print].
The gut-liver axis is a two-way communication network where gut microbes and their metabolites affect liver function, while the liver regulates the intestinal environment through bile acids, immune factors, and antimicrobial substances. Disruption of this balance contributes to various liver diseases, including nonalcoholic fatty liver disease, alcohol-associated liver disease, cirrhosis, and liver cancer. Probiotics and synbiotics are potential therapies that aim to restore microbial balance, strengthen the intestinal barrier, and regulate inflammation and metabolism. Recent omics technologies, such as metagenomics, metabolomics, transcriptomics, and proteomics, have helped uncover how these interventions influence important pathways involving short-chain fatty acids, bile acids, and microbial metabolites. Studies suggest that probiotics and synbiotics may improve liver health through effects on metabolism, immune regulation, and fibrosis, although results vary depending on the specific microbial strains and patient characteristics. Emerging approaches include next-generation probiotics, targeted synbiotic combinations, and personalized microbiome-based treatments. Combining multi-omics data with digital health tools may help identify patients who are most likely to benefit. Overall, microbiota-targeted therapies show promise as personalized strategies for managing liver diseases, but further research is needed to overcome challenges in translating findings into consistent clinical applications.
Additional Links: PMID-42290500
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PubMed:
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@article {pmid42290500,
year = {2026},
author = {Oriquat, G and Abdelgawwad El-Sehrawy, AAM and K Abdulsahib, W and Waleed Mustafa, W and Jyothi, SR and Priyadarshini Nayak, P and Janney, JB and Singh, G and Sinha, A and Yazdi, F},
title = {Probiotic, synbiotic effects on the gut-liver axis: omics-enabled mechanisms and therapeutic windows.},
journal = {Future microbiology},
volume = {},
number = {},
pages = {1-18},
doi = {10.1080/17460913.2026.2684877},
pmid = {42290500},
issn = {1746-0921},
abstract = {The gut-liver axis is a two-way communication network where gut microbes and their metabolites affect liver function, while the liver regulates the intestinal environment through bile acids, immune factors, and antimicrobial substances. Disruption of this balance contributes to various liver diseases, including nonalcoholic fatty liver disease, alcohol-associated liver disease, cirrhosis, and liver cancer. Probiotics and synbiotics are potential therapies that aim to restore microbial balance, strengthen the intestinal barrier, and regulate inflammation and metabolism. Recent omics technologies, such as metagenomics, metabolomics, transcriptomics, and proteomics, have helped uncover how these interventions influence important pathways involving short-chain fatty acids, bile acids, and microbial metabolites. Studies suggest that probiotics and synbiotics may improve liver health through effects on metabolism, immune regulation, and fibrosis, although results vary depending on the specific microbial strains and patient characteristics. Emerging approaches include next-generation probiotics, targeted synbiotic combinations, and personalized microbiome-based treatments. Combining multi-omics data with digital health tools may help identify patients who are most likely to benefit. Overall, microbiota-targeted therapies show promise as personalized strategies for managing liver diseases, but further research is needed to overcome challenges in translating findings into consistent clinical applications.},
}
RevDate: 2026-06-15
CmpDate: 2026-06-15
Correction: Channel selection of metagenomic next-generation sequencing in infants pathogen detection: a multicenter cross-sectional study.
Frontiers in pediatrics, 14:1835424.
[This corrects the article DOI: 10.3389/fped.2025.1632123.].
Additional Links: PMID-42290753
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@article {pmid42290753,
year = {2026},
author = {Yang, C and Li, M and Yang, S and Pan, J and Ding, Y and Yang, J},
title = {Correction: Channel selection of metagenomic next-generation sequencing in infants pathogen detection: a multicenter cross-sectional study.},
journal = {Frontiers in pediatrics},
volume = {14},
number = {},
pages = {1835424},
doi = {10.3389/fped.2026.1835424},
pmid = {42290753},
issn = {2296-2360},
abstract = {[This corrects the article DOI: 10.3389/fped.2025.1632123.].},
}
RevDate: 2026-06-15
CmpDate: 2026-06-15
Comparative pangenome analysis of methanogenic archaea from diverse ecosystems reveals potential targets for methane mitigation in rumen microbiome.
Journal of animal science and technology, 68(3):935-953.
Rumen methanogenesis is a major biological contributor to methane emissions in ruminants, yet the extent to which functional markers align with taxonomic relationships and how genome content varies across habitats, remains poorly resolved. In this study, we integrated broad phylogenetic frameworks with pangenome-resolved analysis to characterize methanogenic archaea from diverse ecosystems, including seawater, freshwater, sewage, rumen, human gut, soil, and cockroach sources. By combining these insights with pangenome reconstruction and KEGG-based pathway mapping of methanogenesis, we reveal key evolutionary and functional patterns. Notably, phylogenies based on 16S rRNA and mcrA genes showed limited concordance: only two clades exhibited overlap between trees, with most clustering patterns lacking environmental specificity. This discrepancy reflects the deep conservation of 16S rRNA compared with the evolutionary plasticity of mcr genes, shaped by lateral gene transfer, gene loss, and pathway modularity. The pangenome comprised of 8,695 orthogroups across 71 genomes, with core and soft-core genes enriched in translation, amino acid metabolism, and coenzyme biosynthesis, while the shell contained many poorly annotated orthogroups, highlighting annotation gaps in archaeal genomes. KEGG analysis revealed habitat-specific signatures: rumen methanogens were notably depleted in genes of the acetyl-CoA pathway, whereas human gut methanogens lacked key cofactor biosynthesis modules, including those for coenzymes M, B, F420, and methanofuran. From rumen-derived shotgun metagenomes, we identified 53 methane-producing, 4 canonical methanogenic, 10 potential competitor, and 1 methanotrophic metagenome-assembled genomes based on functional gene content. Competitor candidates included nitrate-reducing and Wood-Ljungdahl pathway-utilizing acetogens, suggesting hydrogen redirection under high-hydrogen or inhibitor conditions. These findings support a functional marker strategy that integrates 16S rRNA with pathway-specific genes and a pangenome framework to enhance ecological interpretations of methanogens and to prioritize potential targets for methane mitigation in ruminants.
Additional Links: PMID-42291119
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@article {pmid42291119,
year = {2026},
author = {Park, J and Jang, KB and Kang, MG and Kyung, J and Yoon, J and Ryu, S and Kim, Y},
title = {Comparative pangenome analysis of methanogenic archaea from diverse ecosystems reveals potential targets for methane mitigation in rumen microbiome.},
journal = {Journal of animal science and technology},
volume = {68},
number = {3},
pages = {935-953},
pmid = {42291119},
issn = {2055-0391},
abstract = {Rumen methanogenesis is a major biological contributor to methane emissions in ruminants, yet the extent to which functional markers align with taxonomic relationships and how genome content varies across habitats, remains poorly resolved. In this study, we integrated broad phylogenetic frameworks with pangenome-resolved analysis to characterize methanogenic archaea from diverse ecosystems, including seawater, freshwater, sewage, rumen, human gut, soil, and cockroach sources. By combining these insights with pangenome reconstruction and KEGG-based pathway mapping of methanogenesis, we reveal key evolutionary and functional patterns. Notably, phylogenies based on 16S rRNA and mcrA genes showed limited concordance: only two clades exhibited overlap between trees, with most clustering patterns lacking environmental specificity. This discrepancy reflects the deep conservation of 16S rRNA compared with the evolutionary plasticity of mcr genes, shaped by lateral gene transfer, gene loss, and pathway modularity. The pangenome comprised of 8,695 orthogroups across 71 genomes, with core and soft-core genes enriched in translation, amino acid metabolism, and coenzyme biosynthesis, while the shell contained many poorly annotated orthogroups, highlighting annotation gaps in archaeal genomes. KEGG analysis revealed habitat-specific signatures: rumen methanogens were notably depleted in genes of the acetyl-CoA pathway, whereas human gut methanogens lacked key cofactor biosynthesis modules, including those for coenzymes M, B, F420, and methanofuran. From rumen-derived shotgun metagenomes, we identified 53 methane-producing, 4 canonical methanogenic, 10 potential competitor, and 1 methanotrophic metagenome-assembled genomes based on functional gene content. Competitor candidates included nitrate-reducing and Wood-Ljungdahl pathway-utilizing acetogens, suggesting hydrogen redirection under high-hydrogen or inhibitor conditions. These findings support a functional marker strategy that integrates 16S rRNA with pathway-specific genes and a pangenome framework to enhance ecological interpretations of methanogens and to prioritize potential targets for methane mitigation in ruminants.},
}
RevDate: 2026-06-15
CmpDate: 2026-06-15
Different grazing intensities affect soil nitrogen cycling by altering microbial nitrogen metabolism in alpine wetlands.
iScience, 29(6):116009.
Grazing significantly affects soil nitrogen cycling in eastern Qinghai-Tibet Plateau alpine wetlands. Grazing did not alter soil microbial α-diversity, but shifted community composition via metagenomic analysis. Moderate and heavy grazing reduced soil total and active nitrogen contents by 53.8%-92.0% vs. light grazing, significantly decreased abundances of nitrification genes (amoA and hao) and ammonium assimilation gene (glnA), while increased dissimilatory nitrite reduction to ammonium gene (nirB) by 142.1%. A nitrification bottleneck from impaired nitrification drove active nitrogen decline, and structural equation modeling identified nitrogen cycle gene abundance as the key driver. This study reveals microbial nitrogen cycling mechanisms and provides a scientific basis for sustainable grazing management in alpine wetlands.
Additional Links: PMID-42291259
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@article {pmid42291259,
year = {2026},
author = {Feng, S and Liu, Q and Chen, Y and Kang, D and Zou, S},
title = {Different grazing intensities affect soil nitrogen cycling by altering microbial nitrogen metabolism in alpine wetlands.},
journal = {iScience},
volume = {29},
number = {6},
pages = {116009},
pmid = {42291259},
issn = {2589-0042},
abstract = {Grazing significantly affects soil nitrogen cycling in eastern Qinghai-Tibet Plateau alpine wetlands. Grazing did not alter soil microbial α-diversity, but shifted community composition via metagenomic analysis. Moderate and heavy grazing reduced soil total and active nitrogen contents by 53.8%-92.0% vs. light grazing, significantly decreased abundances of nitrification genes (amoA and hao) and ammonium assimilation gene (glnA), while increased dissimilatory nitrite reduction to ammonium gene (nirB) by 142.1%. A nitrification bottleneck from impaired nitrification drove active nitrogen decline, and structural equation modeling identified nitrogen cycle gene abundance as the key driver. This study reveals microbial nitrogen cycling mechanisms and provides a scientific basis for sustainable grazing management in alpine wetlands.},
}
RevDate: 2026-06-15
CmpDate: 2026-06-15
Metagenomic next-generation sequencing reveals microbial community characteristics during acute exacerbations of interstitial pneumonia and their associations with clinical phenotypes.
Frontiers in cellular and infection microbiology, 16:1809022.
OBJECTIVE: Accurate pathogen detection is crucial for clinical management of interstitial lung diseases (ILDs), but conventional culture methods (CMT) have limited sensitivity. This study evaluated the diagnostic performance of metagenomic next-generation sequencing (mNGS) versus CMT in ILD patients and characterized differences in lower respiratory microbiome between stable (Stable) and acute exacerbation (AE) stage, as well as their associations with clinical indicators.
METHODS: We retrospectively analyzed ILD patients admitted between September 2021 and November 2023. Multidisciplinary discussion (MDT)-based comprehensive diagnosis served as the reference standard. We compared the sensitivity, specificity, and accuracy of mNGS and CMT. Microbiome analyses were performed to assess community composition and diversity in the Stable and AE groups, and to explore correlations with clinical features (e.g., frequency of exacerbations, oxygenation index, inflammatory markers).
RESULTS: The sensitivity of mNGS (95.60%) was significantly higher than that of CMT (32.20%). In 61.80% of patients, only mNGS yielded positive results, highlighting its diagnostic advantage. A total of 77 microorganisms were detected; bacteria accounted for 66.67% (e.g., Streptococcus pneumoniae, Haemophilus parainfluenzae). Among fungi, Candida albicans and Pneumocystis jirovecii predominated. Microbial diversity was significantly lower in the AE group than in the Stable group (p < 0.01). Candida albicans (p = 0.032) and Abiotrophia defectiva (p=0.011) were enriched in AE, whereas Haemophilus parainfluenzae (p = 0.038) and Prevotella pallens (p = 0.022) were more abundant in Stable. Correlation analyses showed that Candida albicans was positively associated with exacerbation frequency (p < 0.05), while Streptococcus salivarius correlated positively with the oxygenation index. Abiotrophia defectiva was positively associated with Erythrocyte Sedimentation Rate (ESR) and body temperature, but negatively associated with lymphocyte count.
CONCLUSION: Patients in the AE group exhibited altered microbial community structures, and increased fungal colonization may be associated with disease progression, suggesting new targets for clinical intervention.
Additional Links: PMID-42291297
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@article {pmid42291297,
year = {2026},
author = {Ma, M and Wang, L and Chen, M and Shi, S and Gui, X and Huang, X},
title = {Metagenomic next-generation sequencing reveals microbial community characteristics during acute exacerbations of interstitial pneumonia and their associations with clinical phenotypes.},
journal = {Frontiers in cellular and infection microbiology},
volume = {16},
number = {},
pages = {1809022},
pmid = {42291297},
issn = {2235-2988},
mesh = {Humans ; *High-Throughput Nucleotide Sequencing ; *Lung Diseases, Interstitial/microbiology/diagnosis ; Female ; *Metagenomics/methods ; *Microbiota/genetics ; Retrospective Studies ; Male ; Bacteria/classification/genetics/isolation & purification ; Aged ; Phenotype ; Middle Aged ; Sensitivity and Specificity ; Metagenome ; },
abstract = {OBJECTIVE: Accurate pathogen detection is crucial for clinical management of interstitial lung diseases (ILDs), but conventional culture methods (CMT) have limited sensitivity. This study evaluated the diagnostic performance of metagenomic next-generation sequencing (mNGS) versus CMT in ILD patients and characterized differences in lower respiratory microbiome between stable (Stable) and acute exacerbation (AE) stage, as well as their associations with clinical indicators.
METHODS: We retrospectively analyzed ILD patients admitted between September 2021 and November 2023. Multidisciplinary discussion (MDT)-based comprehensive diagnosis served as the reference standard. We compared the sensitivity, specificity, and accuracy of mNGS and CMT. Microbiome analyses were performed to assess community composition and diversity in the Stable and AE groups, and to explore correlations with clinical features (e.g., frequency of exacerbations, oxygenation index, inflammatory markers).
RESULTS: The sensitivity of mNGS (95.60%) was significantly higher than that of CMT (32.20%). In 61.80% of patients, only mNGS yielded positive results, highlighting its diagnostic advantage. A total of 77 microorganisms were detected; bacteria accounted for 66.67% (e.g., Streptococcus pneumoniae, Haemophilus parainfluenzae). Among fungi, Candida albicans and Pneumocystis jirovecii predominated. Microbial diversity was significantly lower in the AE group than in the Stable group (p < 0.01). Candida albicans (p = 0.032) and Abiotrophia defectiva (p=0.011) were enriched in AE, whereas Haemophilus parainfluenzae (p = 0.038) and Prevotella pallens (p = 0.022) were more abundant in Stable. Correlation analyses showed that Candida albicans was positively associated with exacerbation frequency (p < 0.05), while Streptococcus salivarius correlated positively with the oxygenation index. Abiotrophia defectiva was positively associated with Erythrocyte Sedimentation Rate (ESR) and body temperature, but negatively associated with lymphocyte count.
CONCLUSION: Patients in the AE group exhibited altered microbial community structures, and increased fungal colonization may be associated with disease progression, suggesting new targets for clinical intervention.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Humans
*High-Throughput Nucleotide Sequencing
*Lung Diseases, Interstitial/microbiology/diagnosis
Female
*Metagenomics/methods
*Microbiota/genetics
Retrospective Studies
Male
Bacteria/classification/genetics/isolation & purification
Aged
Phenotype
Middle Aged
Sensitivity and Specificity
Metagenome
RevDate: 2026-06-15
CmpDate: 2026-06-15
The complexity of invasive fungal diseases in the intensive care unit: evaluation of metagenomic next-generation sequencing.
Frontiers in cellular and infection microbiology, 16:1820501.
BACKGROUND: In the intensive care unit (ICU), a subset of adult individuals who are non-neutropenic and lack conventional host risk factors frequently develop fungal infections, which constitute a major mortality risk in this population. This patient group has received limited attention to date, and research on diagnostic approaches remains insufficient. This research looks into whether metagenomic next-generation sequencing (mNGS) could be used to diagnose this group of people.
METHODS: We performed a retrospective analysis of 106 individuals with invasive fungal infections between July 2022 and February 2025. These patients were divided into two groups: immunocompetent and immunocompromised. Demographic and clinical characteristics were analyzed and compared between the two groups. The diagnostic value of mNGS was carefully assessed, and its diagnostic performance was contrasted with that of conventional microbiological tests (CMTs). In addition, the impact of mNGS results from different specimen types on clinical management and antifungal treatment decisions was summarized.
RESULTS: Among the 106 adult patients, 66.26% were immunocompetent, but many of them had underlying comorbidities. A total of 81 pathogens were identified, of which 74 were detected by mNGS and 44 by CMTs. The predominant fungal pathogens included Candida species, Pneumocystis jirovecii, and Aspergillus fumigatus. mNGS showed a distinct superiority in identifying uncommon pathogens and mixed infections, with its total positive rate markedly exceeding that of CMTs. mNGS results led to beneficial modifications in clinical management for 75 patients (70.75%). The clinical impact varied by specimen type, including bronchoalveolar lavage fluid (BALF; 61 cases), blood (14 cases), and other sterile body fluids (31 cases), with blood specimens yielding the least clinical benefit.
CONCLUSION: In the ICU, a substantial number of invasive fungal infections occur among patients without classical host risk factors. mNGS offers substantial benefits in identifying fungal pathogens and mixed infections, hence enhancing the diagnostic efficacy of invasive fungal diseases (IFDs). The extent of clinical benefit is affected by the kind of specimen provided for testing.
Additional Links: PMID-42291302
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@article {pmid42291302,
year = {2026},
author = {Wang, R and Yang, H and Zhang, C and Zi Neng, X},
title = {The complexity of invasive fungal diseases in the intensive care unit: evaluation of metagenomic next-generation sequencing.},
journal = {Frontiers in cellular and infection microbiology},
volume = {16},
number = {},
pages = {1820501},
pmid = {42291302},
issn = {2235-2988},
mesh = {Humans ; *Intensive Care Units ; *Invasive Fungal Infections/diagnosis/microbiology/drug therapy ; *High-Throughput Nucleotide Sequencing/methods ; Female ; *Metagenomics/methods ; Retrospective Studies ; Middle Aged ; Immunocompromised Host ; Male ; Aged ; *Fungi/genetics/classification/isolation & purification ; Adult ; Antifungal Agents/therapeutic use ; },
abstract = {BACKGROUND: In the intensive care unit (ICU), a subset of adult individuals who are non-neutropenic and lack conventional host risk factors frequently develop fungal infections, which constitute a major mortality risk in this population. This patient group has received limited attention to date, and research on diagnostic approaches remains insufficient. This research looks into whether metagenomic next-generation sequencing (mNGS) could be used to diagnose this group of people.
METHODS: We performed a retrospective analysis of 106 individuals with invasive fungal infections between July 2022 and February 2025. These patients were divided into two groups: immunocompetent and immunocompromised. Demographic and clinical characteristics were analyzed and compared between the two groups. The diagnostic value of mNGS was carefully assessed, and its diagnostic performance was contrasted with that of conventional microbiological tests (CMTs). In addition, the impact of mNGS results from different specimen types on clinical management and antifungal treatment decisions was summarized.
RESULTS: Among the 106 adult patients, 66.26% were immunocompetent, but many of them had underlying comorbidities. A total of 81 pathogens were identified, of which 74 were detected by mNGS and 44 by CMTs. The predominant fungal pathogens included Candida species, Pneumocystis jirovecii, and Aspergillus fumigatus. mNGS showed a distinct superiority in identifying uncommon pathogens and mixed infections, with its total positive rate markedly exceeding that of CMTs. mNGS results led to beneficial modifications in clinical management for 75 patients (70.75%). The clinical impact varied by specimen type, including bronchoalveolar lavage fluid (BALF; 61 cases), blood (14 cases), and other sterile body fluids (31 cases), with blood specimens yielding the least clinical benefit.
CONCLUSION: In the ICU, a substantial number of invasive fungal infections occur among patients without classical host risk factors. mNGS offers substantial benefits in identifying fungal pathogens and mixed infections, hence enhancing the diagnostic efficacy of invasive fungal diseases (IFDs). The extent of clinical benefit is affected by the kind of specimen provided for testing.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Humans
*Intensive Care Units
*Invasive Fungal Infections/diagnosis/microbiology/drug therapy
*High-Throughput Nucleotide Sequencing/methods
Female
*Metagenomics/methods
Retrospective Studies
Middle Aged
Immunocompromised Host
Male
Aged
*Fungi/genetics/classification/isolation & purification
Adult
Antifungal Agents/therapeutic use
RevDate: 2026-06-15
CmpDate: 2026-06-15
Editorial: Molecular informatics in personalized medicine, volume II.
Frontiers in medicine, 13:1861955.
Additional Links: PMID-42292195
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@article {pmid42292195,
year = {2026},
author = {Borgio, JF and Sharma, HS and Almandil, NB and AbdulAzeez, S and van der Spek, PJ},
title = {Editorial: Molecular informatics in personalized medicine, volume II.},
journal = {Frontiers in medicine},
volume = {13},
number = {},
pages = {1861955},
doi = {10.3389/fmed.2026.1861955},
pmid = {42292195},
issn = {2296-858X},
}
RevDate: 2026-06-15
CmpDate: 2026-06-15
16S rRNA Gene-Based Metagenomic Analysis of Rhizosphere Soil Bacteria in Arkansas Rice Crop Fields.
Agronomy (Basel, Switzerland), 12(1):.
The rhizomicrobiome is composed of microbes that live in association with plant roots. From nutrient cycling to carbon sequestration, soil microorganisms have provided a solid base for natural and agricultural ecosystems to function. The relationship between plant roots and soil microorganisms is especially relevant in food staples such as rice (Oryza sativa L.), as the various properties of these microbes can influence crop yield and plant health, thereby affecting a major portion of the food supply for an ever-growing world population. In this study, we used 16S rRNA gene-based metagenomic analysis to investigate the impact of crop rotation and soil cultivation methods (no-till or tillage) on rhizosphere bacterial diversity and composition in eight crop fields in Arkansas. Illumina MiSeq sequencing revealed 56 Phyla, with four major Phyla: Proteobacteria, Acidobacteria, Actinobacteria, and Bacteroidetes. Soil microbial communities in the samples studied were phylogenetically diverse but with a stable community structure. Crop rotation and tillage did not significantly affect bacterial diversity.
Additional Links: PMID-42292299
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@article {pmid42292299,
year = {2022},
author = {Oliveira, C and Shakiba, E and North, D and McGraw, M and Ballard, E and Barrett-D'Amico, M and Glazko, G and Rahmatallah, Y},
title = {16S rRNA Gene-Based Metagenomic Analysis of Rhizosphere Soil Bacteria in Arkansas Rice Crop Fields.},
journal = {Agronomy (Basel, Switzerland)},
volume = {12},
number = {1},
pages = {},
pmid = {42292299},
issn = {2073-4395},
abstract = {The rhizomicrobiome is composed of microbes that live in association with plant roots. From nutrient cycling to carbon sequestration, soil microorganisms have provided a solid base for natural and agricultural ecosystems to function. The relationship between plant roots and soil microorganisms is especially relevant in food staples such as rice (Oryza sativa L.), as the various properties of these microbes can influence crop yield and plant health, thereby affecting a major portion of the food supply for an ever-growing world population. In this study, we used 16S rRNA gene-based metagenomic analysis to investigate the impact of crop rotation and soil cultivation methods (no-till or tillage) on rhizosphere bacterial diversity and composition in eight crop fields in Arkansas. Illumina MiSeq sequencing revealed 56 Phyla, with four major Phyla: Proteobacteria, Acidobacteria, Actinobacteria, and Bacteroidetes. Soil microbial communities in the samples studied were phylogenetically diverse but with a stable community structure. Crop rotation and tillage did not significantly affect bacterial diversity.},
}
RevDate: 2026-06-15
CmpDate: 2026-06-15
Etiological study of pulmonary infections following solid organ transplantation using metagenomic next-generation sequencing and development of a risk prediction model: a retrospective cohort study.
Frontiers in immunology, 17:1734832.
OBJECTIVE: To analyze the pathogenic etiology of pulmonary infection after solid organ transplantation and construct a prognostic prediction model based on metagenomic next-generation sequencing (mNGS) technology, systematically identifying key predictors to provide evidence for clinical risk stratification and individualized interventions.
METHODS: Clinical data were retrospectively collected from patients who developed pulmonary infection after liver or kidney transplantation at a single hospital between January 2020 and December 2023. All patients underwent mNGS detection of bronchoalveolar lavage fluid or sputum for pathogen identification. Collected data included demographic characteristics, transplant-related parameters, underlying diseases, laboratory test results, mNGS pathogen detection outcomes, and prognostic indicators. The dataset was randomly divided into a training set (n=262) and a test set (n=66). Within an AutoML framework, model hyperparameters were optimized using the Improved Dharma Optimization Algorithm (IDRA). Feature importance was validated bidimensionally via LASSO regression and SHAP interpretable models, with an interactive MATLAB-based decision support system developed.
RESULTS: The overall positive detection rate of pathogens by mNGS significantly exceeded that of conventional methods (84.76% vs. 61.89%, P<0.001). No statistically significant differences existed in baseline characteristics or laboratory indicators between the training and test sets (all P>0.05), confirming randomized stratified sampling validity. Both cohorts showed highly consistent proportions of poor prognosis events (training set: 27.48% vs. test set: 28.79%, χ[2]=0.045, P = 0.832). The prediction model achieved a ROC-AUC of 0.9694 and PR-AUC of 0.9690 in the training set, and ROC-AUC of 0.9206 (95% CI: 0.854-0.987) with PR-AUC of 0.9273 (95% CI: 0.867-0.988) in the test set, outperforming comparative models. Fourteen key variables were ultimately selected: mNGS bacterial detection, mNGS fungal detection, procalcitonin (PCT), C-reactive protein (CRP), mNGS viral detection, white blood cell count, creatinine, post-transplantation time, neutrophil percentage, diabetes, age, total bilirubin, alanine aminotransferase (ALT), and lymphocyte percentage. The feature overlap rate with AutoML-screened variables was 78.6% (11/14). SHAP analysis revealed descending importance ranking: mNGS bacterial detection, mNGS fungal detection, PCT, etc.
CONCLUSION: Integrating multidimensional clinical data with explainable machine learning techniques, this study confirms the central role of pathogenic etiology characteristics in prognostic prediction for post-transplant pulmonary infection and demonstrates the potential for real-time risk assessment to inform clinical decisions. However, prospective validation across diverse care settings is required to establish its efficacy as an interventional guide. This work offers innovative tools and methodological frameworks to advance precision diagnosis and management, subject to ongoing refinement through multicenter collaboration.
Additional Links: PMID-42292361
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@article {pmid42292361,
year = {2026},
author = {Jiang, H and Lu, E and Liu, Q and Li, Z and Zhu, Y},
title = {Etiological study of pulmonary infections following solid organ transplantation using metagenomic next-generation sequencing and development of a risk prediction model: a retrospective cohort study.},
journal = {Frontiers in immunology},
volume = {17},
number = {},
pages = {1734832},
pmid = {42292361},
issn = {1664-3224},
mesh = {Humans ; Retrospective Studies ; *Metagenomics/methods ; Female ; *High-Throughput Nucleotide Sequencing ; Male ; Middle Aged ; *Organ Transplantation/adverse effects ; Prognosis ; Risk Assessment ; Adult ; *Respiratory Tract Infections/etiology/diagnosis/microbiology ; Risk Factors ; },
abstract = {OBJECTIVE: To analyze the pathogenic etiology of pulmonary infection after solid organ transplantation and construct a prognostic prediction model based on metagenomic next-generation sequencing (mNGS) technology, systematically identifying key predictors to provide evidence for clinical risk stratification and individualized interventions.
METHODS: Clinical data were retrospectively collected from patients who developed pulmonary infection after liver or kidney transplantation at a single hospital between January 2020 and December 2023. All patients underwent mNGS detection of bronchoalveolar lavage fluid or sputum for pathogen identification. Collected data included demographic characteristics, transplant-related parameters, underlying diseases, laboratory test results, mNGS pathogen detection outcomes, and prognostic indicators. The dataset was randomly divided into a training set (n=262) and a test set (n=66). Within an AutoML framework, model hyperparameters were optimized using the Improved Dharma Optimization Algorithm (IDRA). Feature importance was validated bidimensionally via LASSO regression and SHAP interpretable models, with an interactive MATLAB-based decision support system developed.
RESULTS: The overall positive detection rate of pathogens by mNGS significantly exceeded that of conventional methods (84.76% vs. 61.89%, P<0.001). No statistically significant differences existed in baseline characteristics or laboratory indicators between the training and test sets (all P>0.05), confirming randomized stratified sampling validity. Both cohorts showed highly consistent proportions of poor prognosis events (training set: 27.48% vs. test set: 28.79%, χ[2]=0.045, P = 0.832). The prediction model achieved a ROC-AUC of 0.9694 and PR-AUC of 0.9690 in the training set, and ROC-AUC of 0.9206 (95% CI: 0.854-0.987) with PR-AUC of 0.9273 (95% CI: 0.867-0.988) in the test set, outperforming comparative models. Fourteen key variables were ultimately selected: mNGS bacterial detection, mNGS fungal detection, procalcitonin (PCT), C-reactive protein (CRP), mNGS viral detection, white blood cell count, creatinine, post-transplantation time, neutrophil percentage, diabetes, age, total bilirubin, alanine aminotransferase (ALT), and lymphocyte percentage. The feature overlap rate with AutoML-screened variables was 78.6% (11/14). SHAP analysis revealed descending importance ranking: mNGS bacterial detection, mNGS fungal detection, PCT, etc.
CONCLUSION: Integrating multidimensional clinical data with explainable machine learning techniques, this study confirms the central role of pathogenic etiology characteristics in prognostic prediction for post-transplant pulmonary infection and demonstrates the potential for real-time risk assessment to inform clinical decisions. However, prospective validation across diverse care settings is required to establish its efficacy as an interventional guide. This work offers innovative tools and methodological frameworks to advance precision diagnosis and management, subject to ongoing refinement through multicenter collaboration.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Humans
Retrospective Studies
*Metagenomics/methods
Female
*High-Throughput Nucleotide Sequencing
Male
Middle Aged
*Organ Transplantation/adverse effects
Prognosis
Risk Assessment
Adult
*Respiratory Tract Infections/etiology/diagnosis/microbiology
Risk Factors
RevDate: 2026-06-15
CmpDate: 2026-06-15
Behind the mask of relapsing bimodal encephalitis: herpesvirus 7 and Epstein-Barr virus associated with Hashimoto's encephalopathy: a case report.
Frontiers in immunology, 17:1782631.
BACKGROUND AND PURPOSE: Relapsing bimodal encephalitis in adults remains poorly characterized. We describe a case of relapsing viral encephalitis followed by secondary autoimmune-mediated encephalitis and explore its potential underlying mechanisms.
CASE DESCRIPTION: A previously healthy adult female initially presented with fever and headache; brain magnetic resonance imaging (MRI) showed punctate white matter hyperintensities, and electroencephalogram revealed background slowing with intermittent δ waves. Initial cerebrospinal fluid (CSF) analyses were suggestive of viral encephalitis. Although no pathogen was identified by CSF metagenomic next-generation sequencing (mNGS), she responded favorably to empirical antiviral therapy. 22 days after discharge, she was readmitted with decreased responsiveness, hypersomnia, and acute psychosis. Concurrent MRI revealed progressive white matter lesions. CSF analysis demonstrated oligoclonal bands restricted to the CSF, while autoimmune encephalitis antibody panels were negative. Serum autoantibodies (anti-SSA/SSB, anti-thyroglobulin, and thyroid peroxidase) were elevated. Considering probable autoimmune encephalitis, intravenous immunoglobulin and methylprednisolone were administered, leading to clinical and serological remission with radiological improvement. After 22 months, the patient relapsed with similar clinical manifestations, beginning with fever and headache, followed by decreased responsiveness, and subsequently developed an acute mental disorder. Repeat CSF mNGS detected human herpesvirus 7 (HHV-7) and Epstein-Barr virus (EBV), accompanied by new white matter lesions and recurrent thyroid autoantibodies. The patient responded favorably to the same treatment. At one-month follow-up, the patient developed hyperthyroidism.
CONCLUSION: HHV-7 and EBV with long latency are likely associated with a cascade of autoimmune encephalitis, presenting as relapsing bimodal encephalitis. Thyroid autoantibodies-rather than conventional neuronal antibodies-appear central to the autoimmune phase, consistent with Hashimoto's encephalopathy.
Additional Links: PMID-42292462
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Citation:
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@article {pmid42292462,
year = {2026},
author = {Xing, Y and Wang, J and Li, X and Yin, X},
title = {Behind the mask of relapsing bimodal encephalitis: herpesvirus 7 and Epstein-Barr virus associated with Hashimoto's encephalopathy: a case report.},
journal = {Frontiers in immunology},
volume = {17},
number = {},
pages = {1782631},
pmid = {42292462},
issn = {1664-3224},
mesh = {Humans ; Female ; *Hashimoto Disease/virology/diagnosis/drug therapy ; *Herpesvirus 4, Human ; *Encephalitis/diagnosis/virology/drug therapy ; Recurrence ; *Herpesvirus 7, Human ; *Epstein-Barr Virus Infections/complications/virology/diagnosis ; Autoantibodies/blood ; *Encephalitis, Viral/virology/diagnosis/drug therapy ; *Roseolovirus Infections/diagnosis/virology/complications/drug therapy ; *Brain Diseases/virology/diagnosis/drug therapy ; Magnetic Resonance Imaging ; Adult ; Electroencephalography ; },
abstract = {BACKGROUND AND PURPOSE: Relapsing bimodal encephalitis in adults remains poorly characterized. We describe a case of relapsing viral encephalitis followed by secondary autoimmune-mediated encephalitis and explore its potential underlying mechanisms.
CASE DESCRIPTION: A previously healthy adult female initially presented with fever and headache; brain magnetic resonance imaging (MRI) showed punctate white matter hyperintensities, and electroencephalogram revealed background slowing with intermittent δ waves. Initial cerebrospinal fluid (CSF) analyses were suggestive of viral encephalitis. Although no pathogen was identified by CSF metagenomic next-generation sequencing (mNGS), she responded favorably to empirical antiviral therapy. 22 days after discharge, she was readmitted with decreased responsiveness, hypersomnia, and acute psychosis. Concurrent MRI revealed progressive white matter lesions. CSF analysis demonstrated oligoclonal bands restricted to the CSF, while autoimmune encephalitis antibody panels were negative. Serum autoantibodies (anti-SSA/SSB, anti-thyroglobulin, and thyroid peroxidase) were elevated. Considering probable autoimmune encephalitis, intravenous immunoglobulin and methylprednisolone were administered, leading to clinical and serological remission with radiological improvement. After 22 months, the patient relapsed with similar clinical manifestations, beginning with fever and headache, followed by decreased responsiveness, and subsequently developed an acute mental disorder. Repeat CSF mNGS detected human herpesvirus 7 (HHV-7) and Epstein-Barr virus (EBV), accompanied by new white matter lesions and recurrent thyroid autoantibodies. The patient responded favorably to the same treatment. At one-month follow-up, the patient developed hyperthyroidism.
CONCLUSION: HHV-7 and EBV with long latency are likely associated with a cascade of autoimmune encephalitis, presenting as relapsing bimodal encephalitis. Thyroid autoantibodies-rather than conventional neuronal antibodies-appear central to the autoimmune phase, consistent with Hashimoto's encephalopathy.},
}
MeSH Terms:
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Humans
Female
*Hashimoto Disease/virology/diagnosis/drug therapy
*Herpesvirus 4, Human
*Encephalitis/diagnosis/virology/drug therapy
Recurrence
*Herpesvirus 7, Human
*Epstein-Barr Virus Infections/complications/virology/diagnosis
Autoantibodies/blood
*Encephalitis, Viral/virology/diagnosis/drug therapy
*Roseolovirus Infections/diagnosis/virology/complications/drug therapy
*Brain Diseases/virology/diagnosis/drug therapy
Magnetic Resonance Imaging
Adult
Electroencephalography
RevDate: 2026-06-15
CmpDate: 2026-06-15
Spatiotemporal Dynamics of the Relative Abundance of Soil Nutrient-Degrading Enzyme-Encoding Genes Across Continental US Ecoregions.
Ecology and evolution, 16(6):e73869.
Understanding the spatiotemporal patterns in the relative abundance of soil extracellular enzyme-encoding genes is critical for predicting microbial responses to environmental change and their potential role in nutrient cycling. Yet, integrating novel metagenomic observations with spatiotemporal environmental gradients to infer regional patterns and future trajectories has remained unclear. To address this gap, we applied a machine learning (ML) approach, integrating soil metagenomic data with environmental variables-soil properties, topography, vegetation, and climate-to predict the relative abundance of enzyme-encoding genes for soil carbon (C), nitrogen (N), and phosphorus (P) across surface soils of the continental United States. We assessed potential responses under future emission scenarios (SSP2-4.5 and SSP5-8.5) by comparing a baseline (1985-2014) to a future period (2071-2100). The ML model explained 57%-63% of baseline variation. Precipitation was identified as the most influential factor for the relative abundance of C- and N-degrading enzyme-encoding genes, while slope length, representing horizontal distance that water can travel downslope, was the primary driver for P-degrading enzyme-encoding genes abundance. Projections revealed spatially heterogeneous shifts across continental US ecoregions: the relative abundance of C- and N-degrading enzyme-encoding genes decreased in wetter ecoregions and increased in drier ecoregions under future climate, while P-degrading enzyme-encoding genes abundance decreased significantly in semiarid and Mediterranean ecoregions. This study demonstrates the utility of metagenomic data for mapping soil genetic potential and predicting its regional response to environmental change, to inform ecosystem management strategies.
Additional Links: PMID-42292537
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Citation:
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@article {pmid42292537,
year = {2026},
author = {Jung, CG and Gautam, S and Song, Y and Poorey, K and Mishra, U},
title = {Spatiotemporal Dynamics of the Relative Abundance of Soil Nutrient-Degrading Enzyme-Encoding Genes Across Continental US Ecoregions.},
journal = {Ecology and evolution},
volume = {16},
number = {6},
pages = {e73869},
pmid = {42292537},
issn = {2045-7758},
abstract = {Understanding the spatiotemporal patterns in the relative abundance of soil extracellular enzyme-encoding genes is critical for predicting microbial responses to environmental change and their potential role in nutrient cycling. Yet, integrating novel metagenomic observations with spatiotemporal environmental gradients to infer regional patterns and future trajectories has remained unclear. To address this gap, we applied a machine learning (ML) approach, integrating soil metagenomic data with environmental variables-soil properties, topography, vegetation, and climate-to predict the relative abundance of enzyme-encoding genes for soil carbon (C), nitrogen (N), and phosphorus (P) across surface soils of the continental United States. We assessed potential responses under future emission scenarios (SSP2-4.5 and SSP5-8.5) by comparing a baseline (1985-2014) to a future period (2071-2100). The ML model explained 57%-63% of baseline variation. Precipitation was identified as the most influential factor for the relative abundance of C- and N-degrading enzyme-encoding genes, while slope length, representing horizontal distance that water can travel downslope, was the primary driver for P-degrading enzyme-encoding genes abundance. Projections revealed spatially heterogeneous shifts across continental US ecoregions: the relative abundance of C- and N-degrading enzyme-encoding genes decreased in wetter ecoregions and increased in drier ecoregions under future climate, while P-degrading enzyme-encoding genes abundance decreased significantly in semiarid and Mediterranean ecoregions. This study demonstrates the utility of metagenomic data for mapping soil genetic potential and predicting its regional response to environmental change, to inform ecosystem management strategies.},
}
RevDate: 2026-06-15
CmpDate: 2026-06-15
Gut microbiome components predict response to neoadjuvant short-course radiotherapy followed by camrelizumab and chemotherapy in locally advanced rectal cancer (UNION): a prospective study.
Frontiers in pharmacology, 17:1829108.
BACKGROUND: Although the gut microbiome shapes responses to anti-tumor immunotherapy and chemotherapy, its predictive value for neoadjuvant short-course radiotherapy (SCRT) followed by camrelizumab (CAM) and CAPOX in patients with locally advanced rectal cancer (LARC) has not been defined. This exploratory study aimed to evaluate whether the gut microbiome is associated with response to neoadjuvant SCRT followed by CAM and CAPOX.
METHODS: We obtained a total of 77 fecal samples from 36 patients with LARC, including 17 assigned to the long-course chemoradiotherapy (LCRT) group and 19 to the SCRT group. Samples were collected at three time points: baseline, after radiotherapy, and after chemoimmunotherapy. DNA was extracted, followed by metagenomic sequencing to profile microbiota dynamics during neoadjuvant treatment.
RESULTS: In this pilot analysis, we observed significant differences in the gut microbiota between the SCRT and LCRT treatment cohorts. Specifically, Bifidobacterium and Dorea were significantly enriched following completion of SCRT sequential CAM and CAPOX therapy. Further analysis revealed that the relative abundances of these two genera changed significantly only before and after the SCRT regimen, with no notable changes observed in the LCRT group. Preliminary ROC analysis suggested potential utility of these taxa for predicting treatment response, though validation in larger cohorts is needed.
CONCLUSION: The gut microbiome offers potential biomarkers that may stratify response to SCRT followed by CAM and CAPOX, representing a promising exploratory finding with potential clinical relevance.
CLINICAL TRIAL REGISTRATION: https://clinicaltrials.gov/, identifier NCT04928807.
Additional Links: PMID-42292847
PubMed:
Citation:
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@article {pmid42292847,
year = {2026},
author = {You, Q and Jin, M and Zhou, B and Huang, C and Lin, Z and Hu, J and Xue, J and Chen, X and Xiao, Y and Li, R and Zong, Y and Wu, M and Zhang, T and Liu, H},
title = {Gut microbiome components predict response to neoadjuvant short-course radiotherapy followed by camrelizumab and chemotherapy in locally advanced rectal cancer (UNION): a prospective study.},
journal = {Frontiers in pharmacology},
volume = {17},
number = {},
pages = {1829108},
pmid = {42292847},
issn = {1663-9812},
abstract = {BACKGROUND: Although the gut microbiome shapes responses to anti-tumor immunotherapy and chemotherapy, its predictive value for neoadjuvant short-course radiotherapy (SCRT) followed by camrelizumab (CAM) and CAPOX in patients with locally advanced rectal cancer (LARC) has not been defined. This exploratory study aimed to evaluate whether the gut microbiome is associated with response to neoadjuvant SCRT followed by CAM and CAPOX.
METHODS: We obtained a total of 77 fecal samples from 36 patients with LARC, including 17 assigned to the long-course chemoradiotherapy (LCRT) group and 19 to the SCRT group. Samples were collected at three time points: baseline, after radiotherapy, and after chemoimmunotherapy. DNA was extracted, followed by metagenomic sequencing to profile microbiota dynamics during neoadjuvant treatment.
RESULTS: In this pilot analysis, we observed significant differences in the gut microbiota between the SCRT and LCRT treatment cohorts. Specifically, Bifidobacterium and Dorea were significantly enriched following completion of SCRT sequential CAM and CAPOX therapy. Further analysis revealed that the relative abundances of these two genera changed significantly only before and after the SCRT regimen, with no notable changes observed in the LCRT group. Preliminary ROC analysis suggested potential utility of these taxa for predicting treatment response, though validation in larger cohorts is needed.
CONCLUSION: The gut microbiome offers potential biomarkers that may stratify response to SCRT followed by CAM and CAPOX, representing a promising exploratory finding with potential clinical relevance.
CLINICAL TRIAL REGISTRATION: https://clinicaltrials.gov/, identifier NCT04928807.},
}
RevDate: 2026-06-15
CmpDate: 2026-06-15
Association of Rhizoctonia theobromae with cassava witches' broom outbreak in Brazil and genetic relatedness to Southeast Asian isolates.
Frontiers in plant science, 17:1799146.
BACKGROUND: A new cassava disease outbreak was identified in indigenous communities in Oiapoque, Amapá, Brazil, characterized by stunting, proliferation of thin shoots, broom-like leaf formations, and apical dieback. These symptoms are consistent with Cassava Witches' Broom Disease (CWBD), previously reported in other regions of South America and Asia.
METHODS: Metagenomic profiling, molecular diagnostics, phylogenetic analyses, and multilocus genotyping were used to investigate microbial communities associated with symptomatic cassava plants.
RESULTS: Rhizoctonia (Ceratobasidium) theobromae was identified as the predominant fungal species associated with symptomatic plants. Genetic analyses indicated a close relationship between Brazilian isolates and Asian reference strains, suggesting a possible transcontinental introduction and supporting an association between R. theobromae and CWBD. This represents the first confirmed report of R. theobromae in Brazil, expanding its known geographic distribution in the Americas.
CONCLUSION: The detection of this quarantine pathogen represents a potential threat to cassava production, food security, and preservation of indigenous cassava landraces in Brazil. These findings reinforce the need for surveillance, phytosanitary measures, and further studies on emerging fungal pathogens associated with cassava diseases.
Additional Links: PMID-42293010
PubMed:
Citation:
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@article {pmid42293010,
year = {2026},
author = {de Oliveira, SAS and Sheat, S and Margaria, P and Lima, AL and Dos Santos, JA and Rocha, HS and da Silveira, HF and Ramos de Jesus, C and Winter, S},
title = {Association of Rhizoctonia theobromae with cassava witches' broom outbreak in Brazil and genetic relatedness to Southeast Asian isolates.},
journal = {Frontiers in plant science},
volume = {17},
number = {},
pages = {1799146},
pmid = {42293010},
issn = {1664-462X},
abstract = {BACKGROUND: A new cassava disease outbreak was identified in indigenous communities in Oiapoque, Amapá, Brazil, characterized by stunting, proliferation of thin shoots, broom-like leaf formations, and apical dieback. These symptoms are consistent with Cassava Witches' Broom Disease (CWBD), previously reported in other regions of South America and Asia.
METHODS: Metagenomic profiling, molecular diagnostics, phylogenetic analyses, and multilocus genotyping were used to investigate microbial communities associated with symptomatic cassava plants.
RESULTS: Rhizoctonia (Ceratobasidium) theobromae was identified as the predominant fungal species associated with symptomatic plants. Genetic analyses indicated a close relationship between Brazilian isolates and Asian reference strains, suggesting a possible transcontinental introduction and supporting an association between R. theobromae and CWBD. This represents the first confirmed report of R. theobromae in Brazil, expanding its known geographic distribution in the Americas.
CONCLUSION: The detection of this quarantine pathogen represents a potential threat to cassava production, food security, and preservation of indigenous cassava landraces in Brazil. These findings reinforce the need for surveillance, phytosanitary measures, and further studies on emerging fungal pathogens associated with cassava diseases.},
}
RevDate: 2026-06-15
CmpDate: 2026-06-15
Spatiotemporal dynamics of rhizosphere microbial communities in alfalfa across saline-alkali agro-ecosystems.
Frontiers in plant science, 17:1792882.
The rhizosphere represents a highly active plant-soil interface, where microorganisms play critical roles in the growth and development of alfalfa and in regulating local ecosystem processes. However, the mechanisms by which alfalfa rhizosphere microorganisms respond to spatiotemporal variation in saline-alkali environments remain poorly understood. Here, we collected alfalfa plants from one- to eight-year-old stands across three pastoral regions differing in soil type and characterized their rhizosphere soils. Using soil physicochemical analyzes, soil enzymology, and metagenomics, we examined how rhizosphere microbial communities respond to temporal and spatial variation in saline-alkali soils. Our findings indicate that alfalfa rhizosphere microecology may maintain rhizosphere health by modulating soil physicochemical properties, reducing peroxidase activity, enhancing reductase activity, and increasing the abundance of beneficial microorganisms. These results underscore the potential value of introducing exogenous beneficial bacteria to shape indigenous rhizosphere microecology.
Additional Links: PMID-42293020
PubMed:
Citation:
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@article {pmid42293020,
year = {2026},
author = {Yutong, Z and Yaling, L and Wei, Y and Fengling, S},
title = {Spatiotemporal dynamics of rhizosphere microbial communities in alfalfa across saline-alkali agro-ecosystems.},
journal = {Frontiers in plant science},
volume = {17},
number = {},
pages = {1792882},
pmid = {42293020},
issn = {1664-462X},
abstract = {The rhizosphere represents a highly active plant-soil interface, where microorganisms play critical roles in the growth and development of alfalfa and in regulating local ecosystem processes. However, the mechanisms by which alfalfa rhizosphere microorganisms respond to spatiotemporal variation in saline-alkali environments remain poorly understood. Here, we collected alfalfa plants from one- to eight-year-old stands across three pastoral regions differing in soil type and characterized their rhizosphere soils. Using soil physicochemical analyzes, soil enzymology, and metagenomics, we examined how rhizosphere microbial communities respond to temporal and spatial variation in saline-alkali soils. Our findings indicate that alfalfa rhizosphere microecology may maintain rhizosphere health by modulating soil physicochemical properties, reducing peroxidase activity, enhancing reductase activity, and increasing the abundance of beneficial microorganisms. These results underscore the potential value of introducing exogenous beneficial bacteria to shape indigenous rhizosphere microecology.},
}
RevDate: 2026-06-15
CmpDate: 2026-06-15
Age-specific early-life gut microbiome associations with eczema and food allergies during early immune development.
Frontiers in microbiomes, 5:1804117.
INTRODUCTION: Eczema and food allergy commonly emerge during infancy and are linked to changes in the gut microbiome, yet it remains unclear when microbiome differences associated with allergic disease first appear during development.
METHODS: We analyzed age-stratified shotgun metagenomic data from 97 children aged 4-36 months, including physician-confirmed cases of eczema or food allergy and non-allergic controls, excluding recent antibiotic or probiotic exposure. Microbial taxa, functional pathways, and composite microbiome metrics were evaluated across three developmental stages: early infancy (4-6 months), mid-infancy (6-12 months), and toddlerhood (12-36 months).
RESULTS: Differences between allergic and non-allergic children were minimal before 6 months of age but became more apparent during mid-infancy and persisted into toddlerhood. Allergic conditions were associated with reduced abundance of fiber-fermenting and butyrate-producing taxa, enrichment of facultative and inflammation-associated microbes, lower microbiome maturation scores, and shifts in metabolic and inflammatory functional capacity.
DISCUSSION: These findings suggest that gut microbiome divergence associated with allergic disease becomes more apparent during mid-infancy, highlighting a developmentally relevant period for understanding early immune disruption. The results support further longitudinal and interventional studies aimed at clarifying whether earlier microbiome-targeted strategies may help modify progression along the atopic march.
Additional Links: PMID-42293161
PubMed:
Citation:
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@article {pmid42293161,
year = {2026},
author = {Nunez, H and Straub, TJ and Imam, N and Goad, D and Mueller, NT and Mars, RAT and Sew Hoy, C and Paullin, T and Sukhum, KV},
title = {Age-specific early-life gut microbiome associations with eczema and food allergies during early immune development.},
journal = {Frontiers in microbiomes},
volume = {5},
number = {},
pages = {1804117},
pmid = {42293161},
issn = {2813-4338},
abstract = {INTRODUCTION: Eczema and food allergy commonly emerge during infancy and are linked to changes in the gut microbiome, yet it remains unclear when microbiome differences associated with allergic disease first appear during development.
METHODS: We analyzed age-stratified shotgun metagenomic data from 97 children aged 4-36 months, including physician-confirmed cases of eczema or food allergy and non-allergic controls, excluding recent antibiotic or probiotic exposure. Microbial taxa, functional pathways, and composite microbiome metrics were evaluated across three developmental stages: early infancy (4-6 months), mid-infancy (6-12 months), and toddlerhood (12-36 months).
RESULTS: Differences between allergic and non-allergic children were minimal before 6 months of age but became more apparent during mid-infancy and persisted into toddlerhood. Allergic conditions were associated with reduced abundance of fiber-fermenting and butyrate-producing taxa, enrichment of facultative and inflammation-associated microbes, lower microbiome maturation scores, and shifts in metabolic and inflammatory functional capacity.
DISCUSSION: These findings suggest that gut microbiome divergence associated with allergic disease becomes more apparent during mid-infancy, highlighting a developmentally relevant period for understanding early immune disruption. The results support further longitudinal and interventional studies aimed at clarifying whether earlier microbiome-targeted strategies may help modify progression along the atopic march.},
}
RevDate: 2026-06-15
CmpDate: 2026-06-15
Multi-omics reveals circadian regulation of bone homeostasis by gut microbiota metabolites: mechanisms and chronotherapeutic implications.
Frontiers in immunology, 16:1719445.
The gut-bone axis plays a pivotal role in skeletal health, yet the integration of multi-omics approaches to elucidate circadian metabolite-bone interactions remains limited. This review synthesizes evidence from metagenomics, metabolomics, and germ-free models to uncover how microbiota-derived metabolites-including short-chain fatty acids (SCFAs), bile acids, tryptophan derivatives, and gaseous molecules-orchestrate bone remodeling in osteoporosis, osteoarthritis, and bone malignancies. Many studies demonstrate that SCFAs inhibit osteoclastogenesis via GPR43/HDAC signaling and promote osteoblast metabolic reprogramming, while bile acids enhance osteogenesis through FXR/Wnt/β-catenin activation. Tryptophan metabolites repair intestinal barrier integrity and modulate osteoimmunity via the AhR pathway. Single-cell omics reveal circadian oscillations of metabolite receptors (e.g., GPR43, FXR) in bone stromal cells, linking microbial diurnal rhythms to epigenetic regulation of bone turnover. We propose a novel "metabolite-immune-bone triad" model, highlighting microbiome-driven immunometabolic reprogramming as a central regulator of skeletal homeostasis. These insights advance precision microbial therapeutics and chrono-nutritional strategies, bridging multi-omics discoveries with clinical applications for bone disorders.
Additional Links: PMID-42293411
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Citation:
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@article {pmid42293411,
year = {2025},
author = {Liu, M and Gong, J and Liu, Y and Yu, J and Hu, Z and Liu, Z},
title = {Multi-omics reveals circadian regulation of bone homeostasis by gut microbiota metabolites: mechanisms and chronotherapeutic implications.},
journal = {Frontiers in immunology},
volume = {16},
number = {},
pages = {1719445},
pmid = {42293411},
issn = {1664-3224},
mesh = {Humans ; *Gastrointestinal Microbiome/physiology ; Multiomics ; Animals ; *Homeostasis ; *Circadian Rhythm ; *Bone and Bones/metabolism/physiology ; Bone Remodeling ; Metabolomics ; Fatty Acids, Volatile/metabolism ; Osteogenesis ; },
abstract = {The gut-bone axis plays a pivotal role in skeletal health, yet the integration of multi-omics approaches to elucidate circadian metabolite-bone interactions remains limited. This review synthesizes evidence from metagenomics, metabolomics, and germ-free models to uncover how microbiota-derived metabolites-including short-chain fatty acids (SCFAs), bile acids, tryptophan derivatives, and gaseous molecules-orchestrate bone remodeling in osteoporosis, osteoarthritis, and bone malignancies. Many studies demonstrate that SCFAs inhibit osteoclastogenesis via GPR43/HDAC signaling and promote osteoblast metabolic reprogramming, while bile acids enhance osteogenesis through FXR/Wnt/β-catenin activation. Tryptophan metabolites repair intestinal barrier integrity and modulate osteoimmunity via the AhR pathway. Single-cell omics reveal circadian oscillations of metabolite receptors (e.g., GPR43, FXR) in bone stromal cells, linking microbial diurnal rhythms to epigenetic regulation of bone turnover. We propose a novel "metabolite-immune-bone triad" model, highlighting microbiome-driven immunometabolic reprogramming as a central regulator of skeletal homeostasis. These insights advance precision microbial therapeutics and chrono-nutritional strategies, bridging multi-omics discoveries with clinical applications for bone disorders.},
}
MeSH Terms:
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Humans
*Gastrointestinal Microbiome/physiology
Multiomics
Animals
*Homeostasis
*Circadian Rhythm
*Bone and Bones/metabolism/physiology
Bone Remodeling
Metabolomics
Fatty Acids, Volatile/metabolism
Osteogenesis
RevDate: 2026-06-15
CmpDate: 2026-06-15
Study protocol for a randomized controlled trial of fecal microbiota transplantation via different routes in children with moderate-to-severe autism spectrum disorder.
Frontiers in microbiology, 17:1829532.
BACKGROUND: Fecal microbiota transplantation (FMT) shows promise for autism spectrum disorder (ASD) by modulating the gut-brain axis, but the optimal delivery route remains unknown. Our previous single-arm study suggested efficacy of nasojejunal FMT in children with moderate-to-severe ASD, yet could not exclude placebo effects or compare routes. This randomized controlled trial aims to determine the most effective and tolerable FMT administration route.
METHODS: This single-center, randomized, triple-blind, double-dummy, placebo-controlled, three-arm parallel-group trial will enroll 75 children (aged 3-16 years) with moderate-to-severe ASD [Childhood Autism Rating Scale, Second Edition (CARS-2) ≥36]. Participants are randomized 1:1:1 to: (1) FMT via nasojejunal tube + sham colonoscopy (FMT-NJT); (2) active FMT via colonoscopy with transendoscopic enteral tube placement (first session) + two subsequent infusions via the indwelling tube + sham nasojejunal intubation (FMT-C); (3) placebo via both routes (sham procedures). Three FMT/placebo sessions (5 mL/kg, max 100 mL) are administered over 5 days. Primary outcome is change in CARS-2 score from baseline to Week 24. Secondary outcomes include changes in Social Responsiveness Scale, Autism Behavior Checklist, Gastrointestinal Symptom Rating Scale, Short Sensory Profile, Children's Sleep Habits Questionnaire, gut metagenomic profiles (baseline, Weeks 2,6,12,24,48), and adverse events.
RESULTS: This is a study protocol; no results are available.
CONCLUSIONS: This first head-to-head comparison of FMT routes in pediatric ASD will provide high-level evidence to guide treatment standardization, directly addressing the translational gap identified in our preliminary work.
Additional Links: PMID-42293516
PubMed:
Citation:
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@article {pmid42293516,
year = {2026},
author = {Zou, Y and Liu, L and Chen, H and Luo, Z and Zhu, Z and Li, Z and Lin, B and Zhuang, Z and Li, W and Yang, Q and Yang, X and Zhou, H and Luo, M and Dai, D},
title = {Study protocol for a randomized controlled trial of fecal microbiota transplantation via different routes in children with moderate-to-severe autism spectrum disorder.},
journal = {Frontiers in microbiology},
volume = {17},
number = {},
pages = {1829532},
pmid = {42293516},
issn = {1664-302X},
abstract = {BACKGROUND: Fecal microbiota transplantation (FMT) shows promise for autism spectrum disorder (ASD) by modulating the gut-brain axis, but the optimal delivery route remains unknown. Our previous single-arm study suggested efficacy of nasojejunal FMT in children with moderate-to-severe ASD, yet could not exclude placebo effects or compare routes. This randomized controlled trial aims to determine the most effective and tolerable FMT administration route.
METHODS: This single-center, randomized, triple-blind, double-dummy, placebo-controlled, three-arm parallel-group trial will enroll 75 children (aged 3-16 years) with moderate-to-severe ASD [Childhood Autism Rating Scale, Second Edition (CARS-2) ≥36]. Participants are randomized 1:1:1 to: (1) FMT via nasojejunal tube + sham colonoscopy (FMT-NJT); (2) active FMT via colonoscopy with transendoscopic enteral tube placement (first session) + two subsequent infusions via the indwelling tube + sham nasojejunal intubation (FMT-C); (3) placebo via both routes (sham procedures). Three FMT/placebo sessions (5 mL/kg, max 100 mL) are administered over 5 days. Primary outcome is change in CARS-2 score from baseline to Week 24. Secondary outcomes include changes in Social Responsiveness Scale, Autism Behavior Checklist, Gastrointestinal Symptom Rating Scale, Short Sensory Profile, Children's Sleep Habits Questionnaire, gut metagenomic profiles (baseline, Weeks 2,6,12,24,48), and adverse events.
RESULTS: This is a study protocol; no results are available.
CONCLUSIONS: This first head-to-head comparison of FMT routes in pediatric ASD will provide high-level evidence to guide treatment standardization, directly addressing the translational gap identified in our preliminary work.},
}
RevDate: 2026-06-15
CmpDate: 2026-06-15
Metagenomic analysis of the DNA virome communities in swine lungs.
Frontiers in microbiology, 17:1798033.
Viruses play critical roles in shaping microbial communities and regulating host metabolism. Investigating the lung virome of pigs can inform swine health management and provide a comparative resource for studies of the human lower respiratory virome. However, viral communities in the porcine lower respiratory tract remain poorly characterized. In this study, lung-associated viral communities were investigated using virus-like particle (VLP) enrichment and DNA metagenomic sequencing of 49 lung-derived samples collected from 17 domestic pigs and 20 wild boars. A total of 18,412 viral operational taxonomic units (vOTUs) were identified. Among the 2,559 vOTUs with genome completeness ≥50%, nearly 95% did not cluster with sequences in current viral reference databases at the species-level threshold (ANI ≥ 95% and AF ≥ 85%), suggesting putative viral novelty in the porcine lung while also reflecting incomplete reference database coverage. Meanwhile, 10,819 vOTUs (accounting for 58.8% of the total 18,412 identified vOTUs) were assigned to known viral taxa, spanning 29 viral orders and 65 viral families. The most prevalent viral families were Microviridae, Circoviridae, Smacoviridae, Adintoviridae, and Autographiviridae. Host prediction linked a subset of vOTUs to putative bacterial hosts, mainly from Pseudomonadota, Bacillota, Bacteroidota and Actinomycetota. In addition, we identified 191 vOTUs carrying 40 auxiliary metabolic genes (AMGs) mapped to 31 metabolic pathways. These AMGs were mainly associated with sulfur metabolism, cysteine and methionine metabolism, folate biosynthesis, and one-carbon pool by folate pathways. Comparative analysis under this study design showed that domestic pigs harbored higher viral diversity with a greater number of unique vOTUs (n = 12,611) than wild boars (n = 3,072). Domestic pigs viromes were enriched in Circoviridae and Microviridae, whereas wild boars showed higher relative abundances of Adintoviridae and Genomoviridae. Putative AMGs related to coenzyme synthesis and DNA methylation were more frequently detected in domestic pigs, whereas AMGs associated with nucleotide biosynthesis and cofactor metabolism were enriched in wild boars. These findings characterize the composition and functional potential of lung-associated DNA viral communities in pigs and provide a resource for future respiratory virome studies.
Additional Links: PMID-42293521
PubMed:
Citation:
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@article {pmid42293521,
year = {2026},
author = {Liu, Z and Xiahou, Y and Li, J and Wu, F and Fan, Y and Liu, R and Zhou, M and Ding, Z and Zhang, Y and Chen, C and Huang, L and Ai, H},
title = {Metagenomic analysis of the DNA virome communities in swine lungs.},
journal = {Frontiers in microbiology},
volume = {17},
number = {},
pages = {1798033},
pmid = {42293521},
issn = {1664-302X},
abstract = {Viruses play critical roles in shaping microbial communities and regulating host metabolism. Investigating the lung virome of pigs can inform swine health management and provide a comparative resource for studies of the human lower respiratory virome. However, viral communities in the porcine lower respiratory tract remain poorly characterized. In this study, lung-associated viral communities were investigated using virus-like particle (VLP) enrichment and DNA metagenomic sequencing of 49 lung-derived samples collected from 17 domestic pigs and 20 wild boars. A total of 18,412 viral operational taxonomic units (vOTUs) were identified. Among the 2,559 vOTUs with genome completeness ≥50%, nearly 95% did not cluster with sequences in current viral reference databases at the species-level threshold (ANI ≥ 95% and AF ≥ 85%), suggesting putative viral novelty in the porcine lung while also reflecting incomplete reference database coverage. Meanwhile, 10,819 vOTUs (accounting for 58.8% of the total 18,412 identified vOTUs) were assigned to known viral taxa, spanning 29 viral orders and 65 viral families. The most prevalent viral families were Microviridae, Circoviridae, Smacoviridae, Adintoviridae, and Autographiviridae. Host prediction linked a subset of vOTUs to putative bacterial hosts, mainly from Pseudomonadota, Bacillota, Bacteroidota and Actinomycetota. In addition, we identified 191 vOTUs carrying 40 auxiliary metabolic genes (AMGs) mapped to 31 metabolic pathways. These AMGs were mainly associated with sulfur metabolism, cysteine and methionine metabolism, folate biosynthesis, and one-carbon pool by folate pathways. Comparative analysis under this study design showed that domestic pigs harbored higher viral diversity with a greater number of unique vOTUs (n = 12,611) than wild boars (n = 3,072). Domestic pigs viromes were enriched in Circoviridae and Microviridae, whereas wild boars showed higher relative abundances of Adintoviridae and Genomoviridae. Putative AMGs related to coenzyme synthesis and DNA methylation were more frequently detected in domestic pigs, whereas AMGs associated with nucleotide biosynthesis and cofactor metabolism were enriched in wild boars. These findings characterize the composition and functional potential of lung-associated DNA viral communities in pigs and provide a resource for future respiratory virome studies.},
}
RevDate: 2026-06-15
CmpDate: 2026-06-15
Functional diversity in bacterial communities of an integrated constructed wetland used for in situ bioremediation of sewage.
Frontiers in microbiology, 17:1803785.
Constructed wetlands (CWs) offer effective, economical, environment-friendly and energy-efficient solution to growing challenges of increasing sewage and wastewater loads in urban areas. Although microbial communities form an integral component of constructed wetlands for sewage treatment, functional processes and their dynamics during sewage bioremediation in constructed wetlands remain largely uncharacterized. Moreover, the association of specific bacterial taxa with remediation of different sewage and water quality parameters remains largely unclear. This study explored the functional diversity likely associated with microbial communities of a constructed wetland system used for in situ remediation of 1 MLD (Million Liters per Day) sewage without external energy input since 2014. Different bacterial functional groups in the sludge from a stabilization pond and from rhizospheric sediments of the integrated constructed wetland were predicted using a 16S rRNA gene metagenomic sequencing dataset. Correlation analysis, multivariate statistics and a co-occurrence network were used to assess the bacterial groups associated with changes in water quality as it flows through different components of the integrated CW and highlight association patterns predicting major exchanges which might be operating in the microbial communities. While stabilization pond microbiome was dominated by bacterial groups such as Firmicutes, Desulfobacterota and Methylomirabilota known to be involved in carbon fermentation, sulphate reduction and methanogenesis, the rhizospheric sediments showed prevalence of bacteria associated with nitrogen reduction including Nitrospirota and Planctomycetota contributing to improved sewage quality parameters. Such results indicated complex microbial interactions involving bacteria from diverse functional groups sustaining bioremediation in the CW. The identification of primary bacterial taxa along with their putative functions can help in designing strategies to improve sustainable, nature-based wastewater treatment by CW systems.
Additional Links: PMID-42293528
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@article {pmid42293528,
year = {2026},
author = {Seth, N and Bansal, M and Mazumdar, S and Mazumdar-Leighton, S and Lakhanpaul, S and Vats, S and Arafat, Y and Babu, CR},
title = {Functional diversity in bacterial communities of an integrated constructed wetland used for in situ bioremediation of sewage.},
journal = {Frontiers in microbiology},
volume = {17},
number = {},
pages = {1803785},
pmid = {42293528},
issn = {1664-302X},
abstract = {Constructed wetlands (CWs) offer effective, economical, environment-friendly and energy-efficient solution to growing challenges of increasing sewage and wastewater loads in urban areas. Although microbial communities form an integral component of constructed wetlands for sewage treatment, functional processes and their dynamics during sewage bioremediation in constructed wetlands remain largely uncharacterized. Moreover, the association of specific bacterial taxa with remediation of different sewage and water quality parameters remains largely unclear. This study explored the functional diversity likely associated with microbial communities of a constructed wetland system used for in situ remediation of 1 MLD (Million Liters per Day) sewage without external energy input since 2014. Different bacterial functional groups in the sludge from a stabilization pond and from rhizospheric sediments of the integrated constructed wetland were predicted using a 16S rRNA gene metagenomic sequencing dataset. Correlation analysis, multivariate statistics and a co-occurrence network were used to assess the bacterial groups associated with changes in water quality as it flows through different components of the integrated CW and highlight association patterns predicting major exchanges which might be operating in the microbial communities. While stabilization pond microbiome was dominated by bacterial groups such as Firmicutes, Desulfobacterota and Methylomirabilota known to be involved in carbon fermentation, sulphate reduction and methanogenesis, the rhizospheric sediments showed prevalence of bacteria associated with nitrogen reduction including Nitrospirota and Planctomycetota contributing to improved sewage quality parameters. Such results indicated complex microbial interactions involving bacteria from diverse functional groups sustaining bioremediation in the CW. The identification of primary bacterial taxa along with their putative functions can help in designing strategies to improve sustainable, nature-based wastewater treatment by CW systems.},
}
RevDate: 2026-06-15
CmpDate: 2026-06-15
Recovery of organic waste from a wastewater treatment plant, improved with plant growth promoting bacteria: model of Quercus suber L.
Frontiers in microbiology, 17:1754063.
Cork oaks (Quercus suber L.) are key tree species in Mediterranean ecosystems, playing a crucial role in fire mitigation due to their thick, fire‑resistant bark, while also contributing to biodiversity conservation and soil stability. Integrating waste valorization strategies with biofertilizers based on plant growth‑promoting bacteria (PGPB) may enhance reforestation efficiency. This study evaluated different irrigation regimes under controlled phytotron conditions, including water, organic fertilizer derived from a wastewater treatment plant (WWTP), and sterilized WWTP fertilizer, combined with Bacillus pretiosus CECT30673[T] and Pseudomonas agronomica CECT30673[T]. Microbial functional diversity (Shannon index), antibiotic resistance profiles, and rhizosphere community structure were assessed using 16S rRNA‑based metagenomic analyses, including taxonomic composition, beta diversity, and genus‑level relative abundances. Plant performance was evaluated through biomass production, stem length, and nutritional parameters, including protein composition, sugar content, and fatty acid profile. The application of PGPBs together with WWTP‑derived fertilizers resulted in a significant increase in plant biomass and stem length compared to traditional water irrigation. Nutritional quality was also significantly improved, with higher protein, sugar, and fatty acid contents. Additionally, the combined treatments reduced minimum inhibitory concentrations (MICs) within the rhizosphere microbial community while maintaining its functional and structural stability. These results demonstrate that combining PGPBs with WWTP‑derived matrices enhances cork oak growth and nutritional quality without disrupting native soil microbiomes, supporting their potential as sustainable tools for Mediterranean reforestation.
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@article {pmid42293535,
year = {2026},
author = {González-Reguero, D and Robas-Mora, M and García Ordiales, E and Fernández-Pastrana, VM and Penalba-Iglesias, D and Probanza Lobo, A and Jiménez Gómez, PA},
title = {Recovery of organic waste from a wastewater treatment plant, improved with plant growth promoting bacteria: model of Quercus suber L.},
journal = {Frontiers in microbiology},
volume = {17},
number = {},
pages = {1754063},
pmid = {42293535},
issn = {1664-302X},
abstract = {Cork oaks (Quercus suber L.) are key tree species in Mediterranean ecosystems, playing a crucial role in fire mitigation due to their thick, fire‑resistant bark, while also contributing to biodiversity conservation and soil stability. Integrating waste valorization strategies with biofertilizers based on plant growth‑promoting bacteria (PGPB) may enhance reforestation efficiency. This study evaluated different irrigation regimes under controlled phytotron conditions, including water, organic fertilizer derived from a wastewater treatment plant (WWTP), and sterilized WWTP fertilizer, combined with Bacillus pretiosus CECT30673[T] and Pseudomonas agronomica CECT30673[T]. Microbial functional diversity (Shannon index), antibiotic resistance profiles, and rhizosphere community structure were assessed using 16S rRNA‑based metagenomic analyses, including taxonomic composition, beta diversity, and genus‑level relative abundances. Plant performance was evaluated through biomass production, stem length, and nutritional parameters, including protein composition, sugar content, and fatty acid profile. The application of PGPBs together with WWTP‑derived fertilizers resulted in a significant increase in plant biomass and stem length compared to traditional water irrigation. Nutritional quality was also significantly improved, with higher protein, sugar, and fatty acid contents. Additionally, the combined treatments reduced minimum inhibitory concentrations (MICs) within the rhizosphere microbial community while maintaining its functional and structural stability. These results demonstrate that combining PGPBs with WWTP‑derived matrices enhances cork oak growth and nutritional quality without disrupting native soil microbiomes, supporting their potential as sustainable tools for Mediterranean reforestation.},
}
RevDate: 2026-06-15
CmpDate: 2026-06-15
Primer choice shapes microbial community interpretation across habitats and informs short-term structured enrichment in environmental and applied systems.
Frontiers in microbiology, 17:1838890.
Microbial communities play central roles in ecosystem functioning across natural and engineered environments, yet their accurate characterization remains challenging due to methodological biases in amplicon sequencing. Primer choice can strongly influence taxonomic resolution, diversity estimates, and ecological interpretation. Here, we systematically compared primer performance across multiple ribosomal marker genes (16S, 18S, 28S rRNA, and ITS) and contrasting habitats, including soil, wastewater, and a photobioreactor-derived suspension. Amplicon-based profiles were benchmarked against shotgun metagenomic data. Primer choice significantly affected community composition, diversity metrics, and concordance with metagenomic profiles across all habitats and markers. Although 16S rRNA gene primers targeting the V3 region showed the highest agreement, no primer set fully reconstructed community structure. Applying the best-performing primer to a structured soil enrichment system using MESIF chips revealed rapid divergence from native soil and convergence toward less diverse communities, consistently favoring copiotrophic, surface-associated taxa while characteristic soil taxa declined. Across the 21-day incubation period, MESIF-associated communities diverged strongly from native soil, whereas medium-specific differences were comparatively smaller. This suggests that early enrichment was dominated by colonization of the structured matrix, while longer incubations and functional analyses will be needed to resolve substrate-specific selection. Overall, our findings highlight primer selection as a critical factor in microbial community analysis and show that combining optimized amplicon sequencing with structured cultivation enables reproducible enrichment, improved community monitoring, and targeted recovery of functionally relevant microorganisms. These insights are relevant for environmental monitoring, wastewater treatment, biotechnology, and controlled environment agriculture.
Additional Links: PMID-42293540
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@article {pmid42293540,
year = {2026},
author = {Velaz Martín, M and Rießland, H and Rabe, KS and Niemeyer, CM},
title = {Primer choice shapes microbial community interpretation across habitats and informs short-term structured enrichment in environmental and applied systems.},
journal = {Frontiers in microbiology},
volume = {17},
number = {},
pages = {1838890},
pmid = {42293540},
issn = {1664-302X},
abstract = {Microbial communities play central roles in ecosystem functioning across natural and engineered environments, yet their accurate characterization remains challenging due to methodological biases in amplicon sequencing. Primer choice can strongly influence taxonomic resolution, diversity estimates, and ecological interpretation. Here, we systematically compared primer performance across multiple ribosomal marker genes (16S, 18S, 28S rRNA, and ITS) and contrasting habitats, including soil, wastewater, and a photobioreactor-derived suspension. Amplicon-based profiles were benchmarked against shotgun metagenomic data. Primer choice significantly affected community composition, diversity metrics, and concordance with metagenomic profiles across all habitats and markers. Although 16S rRNA gene primers targeting the V3 region showed the highest agreement, no primer set fully reconstructed community structure. Applying the best-performing primer to a structured soil enrichment system using MESIF chips revealed rapid divergence from native soil and convergence toward less diverse communities, consistently favoring copiotrophic, surface-associated taxa while characteristic soil taxa declined. Across the 21-day incubation period, MESIF-associated communities diverged strongly from native soil, whereas medium-specific differences were comparatively smaller. This suggests that early enrichment was dominated by colonization of the structured matrix, while longer incubations and functional analyses will be needed to resolve substrate-specific selection. Overall, our findings highlight primer selection as a critical factor in microbial community analysis and show that combining optimized amplicon sequencing with structured cultivation enables reproducible enrichment, improved community monitoring, and targeted recovery of functionally relevant microorganisms. These insights are relevant for environmental monitoring, wastewater treatment, biotechnology, and controlled environment agriculture.},
}
RevDate: 2026-06-15
CmpDate: 2026-06-15
Multi-kingdom gut microbiota analysis identifies bacterial-viral association in multiple myeloma.
Frontiers in microbiology, 17:1798330.
INTRODUCTION: Alterations in the gut microbiome are closely associated with the progression of multiple myeloma (MM). Previous research has predominantly focused on the bacterial components of the microbiota; however, the virome, a significant component of the microbiota, also plays a critical role, with bacteriophages influencing bacterial community composition and evolution.
METHODS: This study utilized shotgun metagenomic sequencing of fecal samples to explore the interaction between the gut microbiota and MM development. Fecal samples from 28 MM patients and 20 healthy controls were analyzed to evaluate microbial diversity. Taxonomic profiling of both bacterial and viral communities was performed using the Kraken2 classifier.
RESULTS: Our analysis confirmed microbial dysbiosis in MM patients and revealed concomitant changes in both bacterial and viral communities. At the phylum level, this study identified a significant increase in the relative abundance of Pseudomonadota (from 1.63 to 8.88%, p < 0.001) and a decrease in Bacillota in MM patients compared to controls. Furthermore, several viral taxa were notably enriched in the MM cohort, including the phylum Heunggongvirae (linear discriminant analysis [LDA] = 4.74, p = 0.00003), phylum Uroviricota, and genus Punavirus (specifically Punavirus RCS47). Functional analysis demonstrated shifts in microbial metabolic pathways associated with MM, including a reduced capacity for amino acid and secondary bile acid biosynthesis and an enrichment of pathways associated with biofilm formation and cationic antimicrobial peptide (CAMP) resistance.
DISCUSSION: This multi-kingdom metagenomic analysis reveals distinct bacterial and viral signatures associated with MM, enhancing our understanding of gut microbial dysbiosis in the disease. These findings lay the groundwork for future mechanistic investigations and highlight the importance of validating these results in larger, independent cohorts.
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@article {pmid42293542,
year = {2026},
author = {Liu, L and Liu, J and He, J and Xing, Y and Zhang, D and Zhang, X and Ma, C and Xu, M and Li, R and Peng, M and Mei, S},
title = {Multi-kingdom gut microbiota analysis identifies bacterial-viral association in multiple myeloma.},
journal = {Frontiers in microbiology},
volume = {17},
number = {},
pages = {1798330},
pmid = {42293542},
issn = {1664-302X},
abstract = {INTRODUCTION: Alterations in the gut microbiome are closely associated with the progression of multiple myeloma (MM). Previous research has predominantly focused on the bacterial components of the microbiota; however, the virome, a significant component of the microbiota, also plays a critical role, with bacteriophages influencing bacterial community composition and evolution.
METHODS: This study utilized shotgun metagenomic sequencing of fecal samples to explore the interaction between the gut microbiota and MM development. Fecal samples from 28 MM patients and 20 healthy controls were analyzed to evaluate microbial diversity. Taxonomic profiling of both bacterial and viral communities was performed using the Kraken2 classifier.
RESULTS: Our analysis confirmed microbial dysbiosis in MM patients and revealed concomitant changes in both bacterial and viral communities. At the phylum level, this study identified a significant increase in the relative abundance of Pseudomonadota (from 1.63 to 8.88%, p < 0.001) and a decrease in Bacillota in MM patients compared to controls. Furthermore, several viral taxa were notably enriched in the MM cohort, including the phylum Heunggongvirae (linear discriminant analysis [LDA] = 4.74, p = 0.00003), phylum Uroviricota, and genus Punavirus (specifically Punavirus RCS47). Functional analysis demonstrated shifts in microbial metabolic pathways associated with MM, including a reduced capacity for amino acid and secondary bile acid biosynthesis and an enrichment of pathways associated with biofilm formation and cationic antimicrobial peptide (CAMP) resistance.
DISCUSSION: This multi-kingdom metagenomic analysis reveals distinct bacterial and viral signatures associated with MM, enhancing our understanding of gut microbial dysbiosis in the disease. These findings lay the groundwork for future mechanistic investigations and highlight the importance of validating these results in larger, independent cohorts.},
}
RevDate: 2026-06-15
CmpDate: 2026-06-15
Probiotics: multifunctional microorganisms for human health and biotechnological applications.
Frontiers in microbiology, 17:1847515.
Probiotics are live microorganisms that, when ingested in sufficient amounts, can have a beneficial impact on health. As crucial agents in maintaining gut homeostasis, enhancing immunity, and preventing of numerous diseases, they are fundamentally important. Probiotic function is based on pathogen inhibition, the release of antimicrobial substances, immune modulation, and the enhancement of the intestinal barrier integrity. Technological advances in the area, including molecular identification, microencapsulation methods, and metagenomics, have also been discussed. In addition, research methodologies for several subclasses of probiotics including Lactobacillus and Bifidobacterium continually being investigated. The role of probiotics in health of human, along with existing challenges related to probiotic viability and strain specificity, has also been discussed. This review highlights the growing understanding of probiotics and underscores their potential for optimizing human health and therapeutic applications.
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@article {pmid42293553,
year = {2026},
author = {Ali, M and Srivastava, A and Arora, PK},
title = {Probiotics: multifunctional microorganisms for human health and biotechnological applications.},
journal = {Frontiers in microbiology},
volume = {17},
number = {},
pages = {1847515},
pmid = {42293553},
issn = {1664-302X},
abstract = {Probiotics are live microorganisms that, when ingested in sufficient amounts, can have a beneficial impact on health. As crucial agents in maintaining gut homeostasis, enhancing immunity, and preventing of numerous diseases, they are fundamentally important. Probiotic function is based on pathogen inhibition, the release of antimicrobial substances, immune modulation, and the enhancement of the intestinal barrier integrity. Technological advances in the area, including molecular identification, microencapsulation methods, and metagenomics, have also been discussed. In addition, research methodologies for several subclasses of probiotics including Lactobacillus and Bifidobacterium continually being investigated. The role of probiotics in health of human, along with existing challenges related to probiotic viability and strain specificity, has also been discussed. This review highlights the growing understanding of probiotics and underscores their potential for optimizing human health and therapeutic applications.},
}
RevDate: 2026-06-15
CmpDate: 2026-06-15
Editorial: Biodegradation of agricultural pesticides.
Frontiers in microbiology, 17:1874629.
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@article {pmid42293554,
year = {2026},
author = {Behera, BK and Ren, W and Kumar, A},
title = {Editorial: Biodegradation of agricultural pesticides.},
journal = {Frontiers in microbiology},
volume = {17},
number = {},
pages = {1874629},
pmid = {42293554},
issn = {1664-302X},
}
RevDate: 2026-06-15
CmpDate: 2026-06-15
Metagenomic insights into postbiotic-mediated modulation of strawberry surface microbiome and metabolic activity.
Frontiers in microbiology, 17:1841388.
INTRODUCTION: The increasing demand for sustainable alternatives to chemical disinfectants in postharvest fruit handling has incentivized exploration into microbiome-based interventions. We evaluated the impact of lactic acid bacteria (LAB)-derived postbiotic formulations (FF1, FF2, FF3) and a commercial disinfectant (CD) on the microbial community structure of the strawberry fruit surface.
METHODS: Taxonomic and functional changes in the microbial communities were evaluated using shotgun metagenomic sequencing, enabling comprehensive profiling of microbial composition and functional potential through gene family abundance, EggNOG functional categories, KEGG pathways, and MetaCyc metabolic reconstruction. The tested formulations consisted of a precipitated peptide-protein extract (PP) from Weissella cibaria UTNGt21O (FF2), used as the antimicrobial agent, and an exopolysaccharide (EPS) from W. confusa UTNCys2-2 (FF3), serving as a biopolymer carrier, applied in combination (FF1: PPGt21O + EPSCys2-2) or individually.
RESULTS: Our integrated analysis revealed that the highly suppressive formulation, FF1, outperformed the CD by fundamentally restructuring the microbial landscape. Taxonomically, FF1 notably reduced the abundance of key opportunistic spoilage or hazardous organisms. Rather than acting as an indiscriminate biocide, FF1 functioned as a targeted ecological disruptor. Functional profiling (eggNOG, KEGG, and MetaCyc) suggested potential shifts in functional capacity, including a reduced relative abundance of genes associated with translation machinery, cellular membrane expansion (stearate biosynthesis), and host lipid degradation (fatty acid β-oxidation). In parallel, the FF1-treated microbiome showed a higher relative abundance of genes linked to stress-response functions, including heat shock proteins and cell wall-related processes such as peptidoglycan maturation. In contrast, less restrictive formulations (FF2 and FF3) permitted the proliferation of opportunists such as Pseudomonas spp. and Xanthomonas fragariae, accompanied by active energy-consuming and tissue-degrading metabolic signatures.
CONCLUSION: These findings suggest possible underlying mechanisms of LAB-derived postbiotics, demonstrating that FF1 forces the surface microbiome into a metabolically restricted, non-degradative survival state, potentially contributing to the preservation of postharvest strawberry quality.
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@article {pmid42293560,
year = {2026},
author = {Tenea, GN and Jarrín-V, P and Reyes, P},
title = {Metagenomic insights into postbiotic-mediated modulation of strawberry surface microbiome and metabolic activity.},
journal = {Frontiers in microbiology},
volume = {17},
number = {},
pages = {1841388},
pmid = {42293560},
issn = {1664-302X},
abstract = {INTRODUCTION: The increasing demand for sustainable alternatives to chemical disinfectants in postharvest fruit handling has incentivized exploration into microbiome-based interventions. We evaluated the impact of lactic acid bacteria (LAB)-derived postbiotic formulations (FF1, FF2, FF3) and a commercial disinfectant (CD) on the microbial community structure of the strawberry fruit surface.
METHODS: Taxonomic and functional changes in the microbial communities were evaluated using shotgun metagenomic sequencing, enabling comprehensive profiling of microbial composition and functional potential through gene family abundance, EggNOG functional categories, KEGG pathways, and MetaCyc metabolic reconstruction. The tested formulations consisted of a precipitated peptide-protein extract (PP) from Weissella cibaria UTNGt21O (FF2), used as the antimicrobial agent, and an exopolysaccharide (EPS) from W. confusa UTNCys2-2 (FF3), serving as a biopolymer carrier, applied in combination (FF1: PPGt21O + EPSCys2-2) or individually.
RESULTS: Our integrated analysis revealed that the highly suppressive formulation, FF1, outperformed the CD by fundamentally restructuring the microbial landscape. Taxonomically, FF1 notably reduced the abundance of key opportunistic spoilage or hazardous organisms. Rather than acting as an indiscriminate biocide, FF1 functioned as a targeted ecological disruptor. Functional profiling (eggNOG, KEGG, and MetaCyc) suggested potential shifts in functional capacity, including a reduced relative abundance of genes associated with translation machinery, cellular membrane expansion (stearate biosynthesis), and host lipid degradation (fatty acid β-oxidation). In parallel, the FF1-treated microbiome showed a higher relative abundance of genes linked to stress-response functions, including heat shock proteins and cell wall-related processes such as peptidoglycan maturation. In contrast, less restrictive formulations (FF2 and FF3) permitted the proliferation of opportunists such as Pseudomonas spp. and Xanthomonas fragariae, accompanied by active energy-consuming and tissue-degrading metabolic signatures.
CONCLUSION: These findings suggest possible underlying mechanisms of LAB-derived postbiotics, demonstrating that FF1 forces the surface microbiome into a metabolically restricted, non-degradative survival state, potentially contributing to the preservation of postharvest strawberry quality.},
}
RevDate: 2026-06-15
CmpDate: 2026-06-15
Scion varieties and nitrogen levels affect carbon and nitrogen assimilation in apple via modulating rhizosphere microbial structure and function.
Horticulture research, 13(3):uhaf334.
The efficiency of carbon and nitrogen uptake in apple trees is co-regulated by plant genotype and rhizosphere microbial communities. However, the mechanisms by which different scion varieties modulate microbial structure and function under varying nitrogen levels remain poorly understood. In this study, Malus sieversii was used as the rootstock, onto which three scion cultivars (M. sieversii, Malus domestica cv. Hanfu, and Malus domestica cv. Red Fuji) were grafted under two nitrogen regimes. A combination of [13]C/[15]N isotope labeling, Illumina MiSeq amplicon sequencing, and metagenomic analysis was employed to elucidate how scion-rootstock interactions and nitrogen availability affect carbon and nitrogen acquisition. Under nitrogen-deficient conditions, Red Fuji exhibited stronger root activity and larger root surface area, indicating enhanced nutrient foraging capacity. Conversely, under nitrogen application, Hanfu showed significantly greater [13]C and [15]N uptake, with 5.7-fold and 1.6-fold higher [13]C accumulation in roots and stems, respectively, and markedly higher [15]N utilization efficiency in roots and leaves compared with M. sieversii. In parallel, Hanfu under nitrogen input showed enrichment of beneficial microbial taxa and more complex microbial co-occurrence networks. Metagenomic analysis and random forest analyses revealed that the relative abundance of specific functional genes related to carbon and nitrogen transformation (rbcL, abfA, napB/C, nasA) was significantly higher under specific scion-nitrogen combinations, contributing to enhanced microbial carbon fixation and nitrogen reduction. Collectively, these results demonstrate that scion genotype modulates rhizosphere microbial structure, physiological root traits, and carbon-nitrogen distribution patterns, thereby improving nutrient uptake efficiency under different nitrogen inputs.
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@article {pmid42293865,
year = {2026},
author = {Zhang, H and Zhang, W and Yao, D and Li, X and Ali, HSM and Xi, J and Liang, Y and Zhao, F and Yu, S and Yu, K},
title = {Scion varieties and nitrogen levels affect carbon and nitrogen assimilation in apple via modulating rhizosphere microbial structure and function.},
journal = {Horticulture research},
volume = {13},
number = {3},
pages = {uhaf334},
pmid = {42293865},
issn = {2662-6810},
abstract = {The efficiency of carbon and nitrogen uptake in apple trees is co-regulated by plant genotype and rhizosphere microbial communities. However, the mechanisms by which different scion varieties modulate microbial structure and function under varying nitrogen levels remain poorly understood. In this study, Malus sieversii was used as the rootstock, onto which three scion cultivars (M. sieversii, Malus domestica cv. Hanfu, and Malus domestica cv. Red Fuji) were grafted under two nitrogen regimes. A combination of [13]C/[15]N isotope labeling, Illumina MiSeq amplicon sequencing, and metagenomic analysis was employed to elucidate how scion-rootstock interactions and nitrogen availability affect carbon and nitrogen acquisition. Under nitrogen-deficient conditions, Red Fuji exhibited stronger root activity and larger root surface area, indicating enhanced nutrient foraging capacity. Conversely, under nitrogen application, Hanfu showed significantly greater [13]C and [15]N uptake, with 5.7-fold and 1.6-fold higher [13]C accumulation in roots and stems, respectively, and markedly higher [15]N utilization efficiency in roots and leaves compared with M. sieversii. In parallel, Hanfu under nitrogen input showed enrichment of beneficial microbial taxa and more complex microbial co-occurrence networks. Metagenomic analysis and random forest analyses revealed that the relative abundance of specific functional genes related to carbon and nitrogen transformation (rbcL, abfA, napB/C, nasA) was significantly higher under specific scion-nitrogen combinations, contributing to enhanced microbial carbon fixation and nitrogen reduction. Collectively, these results demonstrate that scion genotype modulates rhizosphere microbial structure, physiological root traits, and carbon-nitrogen distribution patterns, thereby improving nutrient uptake efficiency under different nitrogen inputs.},
}
RevDate: 2026-06-15
CmpDate: 2026-06-15
Eravacycline-Cefiderocol Combination Therapy for Carbapenem-Resistant Acinetobacter baumannii Infective Endocarditis: A Case Report and Brief Review of the Literature.
Infection and drug resistance, 19:615678.
BACKGROUND: Infective endocarditis (IE) caused by carbapenem-resistant Acinetobacter baumannii (CRAB) is rare and associated with limited treatment options because of extensive antimicrobial resistance.
CASE PRESENTATION: We hereby present a case of prosthetic valve endocarditis (PVE) caused by CRAB, presenting with fever, persistent bloodstream infection, cerebellar hemorrhage, and aortic valve vegetation. The application of a novel combination therapy comprising eravacycline and cefiderocol effectively eliminated the bloodstream infection. Concomitantly, the monitoring of adverse reactions and the subsequent adjustment of medication and dosage ensured the favorable safety. Although bloodstream infection and valve vegetation were controlled, progressive perivalvular leakage indicated the need for timely surgical intervention when clinically feasible.
CONCLUSION: This case indicates that eravacycline combined with cefiderocol may represent a novel and effective treatment option for refractory IE caused by carbapenem-resistant Gram-negative pathogens, including PVE caused by CRAB.
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@article {pmid42293986,
year = {2026},
author = {Lou, L and Li, X and Zhang, P and Wu, H and Chen, H and Ma, J and Zhang, K},
title = {Eravacycline-Cefiderocol Combination Therapy for Carbapenem-Resistant Acinetobacter baumannii Infective Endocarditis: A Case Report and Brief Review of the Literature.},
journal = {Infection and drug resistance},
volume = {19},
number = {},
pages = {615678},
pmid = {42293986},
issn = {1178-6973},
abstract = {BACKGROUND: Infective endocarditis (IE) caused by carbapenem-resistant Acinetobacter baumannii (CRAB) is rare and associated with limited treatment options because of extensive antimicrobial resistance.
CASE PRESENTATION: We hereby present a case of prosthetic valve endocarditis (PVE) caused by CRAB, presenting with fever, persistent bloodstream infection, cerebellar hemorrhage, and aortic valve vegetation. The application of a novel combination therapy comprising eravacycline and cefiderocol effectively eliminated the bloodstream infection. Concomitantly, the monitoring of adverse reactions and the subsequent adjustment of medication and dosage ensured the favorable safety. Although bloodstream infection and valve vegetation were controlled, progressive perivalvular leakage indicated the need for timely surgical intervention when clinically feasible.
CONCLUSION: This case indicates that eravacycline combined with cefiderocol may represent a novel and effective treatment option for refractory IE caused by carbapenem-resistant Gram-negative pathogens, including PVE caused by CRAB.},
}
RevDate: 2026-06-15
CmpDate: 2026-06-15
Analysis of Microbial Tolerance and Physicochemical Properties of HFA‑E Hydraulic Fluids Used in Mechanized Mine Roof Supports.
ACS omega, 11(22):31925-31939.
This study presents a comparative analysis of microbial tolerance and physicochemical properties of HFA-E (fire-resistant hydraulic fluid, aqueous-based, emulsion type) hydraulic fluids based on commercial "Hydrotol-ITCh HFAE" and "Fimitol P87 AF" concentrates used in mining hydraulic roof support systems. Metagenomic analysis revealed distinct microbial community structures in the two fluids. The Hydrotol-ITCh HFAE-based fluid microbiota consisted predominantly of Bacteria (99.77%), especially Proteobacteria, while the Fimitol P87 AF-based fluid exhibited a more complex and taxonomically diverse community, including a significant proportion of Archaea (47.09%) and Bacteria (52.92%) from groups such as methanogens (Methanobacteriaceae) and sulfate-reducing bacteria (Desulfovibrionaceae), respectively. In vitro tests confirmed the inherent antimicrobial activity of the fluids, which significantly reduced planktonic microbial viability and eradicated the majority of bacteria. The physicochemical properties of the fluids remained stable even under high initial bacterial load, confirming their reliability during microbial contamination. However, under industrial conditions, the Hydrotol-ITCh HFAE-based fluid demonstrated lower contamination and higher emulsion stability (pH reduced to 8.5 after one year of operation versus 6.5 for "Fimitol P87 AF"), which reduced the risk of biocorrosion and the need for additional treatments. This study emphasizes the importance of comprehensive monitoring of microbial diversity and physicochemical parameters for predicting the service life of hydraulic systems, developing effective biocides, and minimizing risks to equipment and personnel. The obtained data can be used to optimize hydraulic fluid compositions and their operational strategies.
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@article {pmid42294186,
year = {2026},
author = {Saenko, EV and Kuznetsova, MV and Nesterova, LY and Valtsifer, IV and Levin, LY and Zaitsev, AV and Karipova, MO and Strelnikov, VN and Valtsifer, VA},
title = {Analysis of Microbial Tolerance and Physicochemical Properties of HFA‑E Hydraulic Fluids Used in Mechanized Mine Roof Supports.},
journal = {ACS omega},
volume = {11},
number = {22},
pages = {31925-31939},
pmid = {42294186},
issn = {2470-1343},
abstract = {This study presents a comparative analysis of microbial tolerance and physicochemical properties of HFA-E (fire-resistant hydraulic fluid, aqueous-based, emulsion type) hydraulic fluids based on commercial "Hydrotol-ITCh HFAE" and "Fimitol P87 AF" concentrates used in mining hydraulic roof support systems. Metagenomic analysis revealed distinct microbial community structures in the two fluids. The Hydrotol-ITCh HFAE-based fluid microbiota consisted predominantly of Bacteria (99.77%), especially Proteobacteria, while the Fimitol P87 AF-based fluid exhibited a more complex and taxonomically diverse community, including a significant proportion of Archaea (47.09%) and Bacteria (52.92%) from groups such as methanogens (Methanobacteriaceae) and sulfate-reducing bacteria (Desulfovibrionaceae), respectively. In vitro tests confirmed the inherent antimicrobial activity of the fluids, which significantly reduced planktonic microbial viability and eradicated the majority of bacteria. The physicochemical properties of the fluids remained stable even under high initial bacterial load, confirming their reliability during microbial contamination. However, under industrial conditions, the Hydrotol-ITCh HFAE-based fluid demonstrated lower contamination and higher emulsion stability (pH reduced to 8.5 after one year of operation versus 6.5 for "Fimitol P87 AF"), which reduced the risk of biocorrosion and the need for additional treatments. This study emphasizes the importance of comprehensive monitoring of microbial diversity and physicochemical parameters for predicting the service life of hydraulic systems, developing effective biocides, and minimizing risks to equipment and personnel. The obtained data can be used to optimize hydraulic fluid compositions and their operational strategies.},
}
RevDate: 2026-06-15
CmpDate: 2026-06-15
Liraglutide and Dapagliflozin Synergistically Reshape Gut Microbiota and Metabolic Profiles to Ameliorate Type‑2 Diabetes in Mice.
ACS omega, 11(22):32363-32379.
Background: Type-2 diabetes mellitus (T2DM) poses a formidable global health challenge, characterized by persistent hyperglycemia resulting from insulin resistance and progressive β-cell dysfunction. Liraglutide (LIRA), a GLP-1 receptor agonist, and dapagliflozin (DAPA), an SGLT2 inhibitor, are established therapies with complementary mechanisms. However, the potential synergy of their combination, particularly through modulation of the gut microbiota and host metabolism, remains incompletely understood. To elucidate the gut microbiota-metabolite axis underlying the therapeutic effects of combination therapy in T2DM, we explored the interplay between β-cell function, fecal microbiota composition, and microbial metabolites. Methods: A T2DM mouse model was induced by a high-fat diet and streptozotocin. Mice were treated for 4 weeks with LIRA, DAPA, or their combination (COM). We assessed glycemic control, insulin sensitivity, pancreatic islet morphology, serum biochemistry, gut microbiota (shotgun metagenomic sequencing), and plasma metabolome (nontargeted metabolomics). Integrated multiomics analysis was performed to elucidate microbiota-metabolite interactions. Results: Combination treatment demonstrated superior efficacy compared to monotherapies, resulting in significantly greater improvements in body weight, glucose tolerance, insulin sensitivity, lipid profiles, and liver function. Histologically, COM most effectively restored pancreatic islet architecture, increased β-cell mass, and normalized α/β-cell ratio. Metagenomic analysis revealed that COM induced a unique and restorative remodeling of the gut microbiota, distinct from monotherapies. This was characterized by suppression of pathobionts (e.g., Klebsiella and Enterorhabdus) and enrichment of beneficial taxa (e.g., Akkermansia, Lactobacillus, and Faecalibaculum). Metabolomics profiling showed that COM extensively normalized the diabetic plasma metabolome. Key altered pathways included tryptophan metabolism, sphingolipid metabolism, and branched-chain amino acid degradation. Integrated correlation analysis unveiled significant associations between specific microbial genera and host metabolites, suggesting a functional gut microbiota-metabolite axis underpinning the synergistic benefits. Conclusions: The combination of liraglutide and dapagliflozin exerts synergistic antidiabetic effects that extend beyond glycemic control to encompass pancreatic protection and systemic metabolic improvement. This synergy is mechanistically linked to collaborative remodeling of the gut ecosystem and consequent normalization of host metabolic pathways. Our findings provide a novel rationale for this combination therapy and highlight the gut microbiota as a pivotal target for T2DM management.
Additional Links: PMID-42294227
PubMed:
Citation:
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@article {pmid42294227,
year = {2026},
author = {Tan, AJ and Li, TR and Yang, JJ and Li, XL and Li, WQ and Yu, JW},
title = {Liraglutide and Dapagliflozin Synergistically Reshape Gut Microbiota and Metabolic Profiles to Ameliorate Type‑2 Diabetes in Mice.},
journal = {ACS omega},
volume = {11},
number = {22},
pages = {32363-32379},
pmid = {42294227},
issn = {2470-1343},
abstract = {Background: Type-2 diabetes mellitus (T2DM) poses a formidable global health challenge, characterized by persistent hyperglycemia resulting from insulin resistance and progressive β-cell dysfunction. Liraglutide (LIRA), a GLP-1 receptor agonist, and dapagliflozin (DAPA), an SGLT2 inhibitor, are established therapies with complementary mechanisms. However, the potential synergy of their combination, particularly through modulation of the gut microbiota and host metabolism, remains incompletely understood. To elucidate the gut microbiota-metabolite axis underlying the therapeutic effects of combination therapy in T2DM, we explored the interplay between β-cell function, fecal microbiota composition, and microbial metabolites. Methods: A T2DM mouse model was induced by a high-fat diet and streptozotocin. Mice were treated for 4 weeks with LIRA, DAPA, or their combination (COM). We assessed glycemic control, insulin sensitivity, pancreatic islet morphology, serum biochemistry, gut microbiota (shotgun metagenomic sequencing), and plasma metabolome (nontargeted metabolomics). Integrated multiomics analysis was performed to elucidate microbiota-metabolite interactions. Results: Combination treatment demonstrated superior efficacy compared to monotherapies, resulting in significantly greater improvements in body weight, glucose tolerance, insulin sensitivity, lipid profiles, and liver function. Histologically, COM most effectively restored pancreatic islet architecture, increased β-cell mass, and normalized α/β-cell ratio. Metagenomic analysis revealed that COM induced a unique and restorative remodeling of the gut microbiota, distinct from monotherapies. This was characterized by suppression of pathobionts (e.g., Klebsiella and Enterorhabdus) and enrichment of beneficial taxa (e.g., Akkermansia, Lactobacillus, and Faecalibaculum). Metabolomics profiling showed that COM extensively normalized the diabetic plasma metabolome. Key altered pathways included tryptophan metabolism, sphingolipid metabolism, and branched-chain amino acid degradation. Integrated correlation analysis unveiled significant associations between specific microbial genera and host metabolites, suggesting a functional gut microbiota-metabolite axis underpinning the synergistic benefits. Conclusions: The combination of liraglutide and dapagliflozin exerts synergistic antidiabetic effects that extend beyond glycemic control to encompass pancreatic protection and systemic metabolic improvement. This synergy is mechanistically linked to collaborative remodeling of the gut ecosystem and consequent normalization of host metabolic pathways. Our findings provide a novel rationale for this combination therapy and highlight the gut microbiota as a pivotal target for T2DM management.},
}
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RJR Experience and Expertise
Researcher
Robbins holds BS, MS, and PhD degrees in the life sciences. He served as a tenured faculty member in the Zoology and Biological Science departments at Michigan State University. He is currently exploring the intersection between genomics, microbial ecology, and biodiversity — an area that promises to transform our understanding of the biosphere.
Educator
Robbins has extensive experience in college-level education: At MSU he taught introductory biology, genetics, and population genetics. At JHU, he was an instructor for a special course on biological database design. At FHCRC, he team-taught a graduate-level course on the history of genetics. At Bellevue College he taught medical informatics.
Administrator
Robbins has been involved in science administration at both the federal and the institutional levels. At NSF he was a program officer for database activities in the life sciences, at DOE he was a program officer for information infrastructure in the human genome project. At the Fred Hutchinson Cancer Research Center, he served as a vice president for fifteen years.
Technologist
Robbins has been involved with information technology since writing his first Fortran program as a college student. At NSF he was the first program officer for database activities in the life sciences. At JHU he held an appointment in the CS department and served as director of the informatics core for the Genome Data Base. At the FHCRC he was VP for Information Technology.
Publisher
While still at Michigan State, Robbins started his first publishing venture, founding a small company that addressed the short-run publishing needs of instructors in very large undergraduate classes. For more than 20 years, Robbins has been operating The Electronic Scholarly Publishing Project, a web site dedicated to the digital publishing of critical works in science, especially classical genetics.
Speaker
Robbins is well-known for his speaking abilities and is often called upon to provide keynote or plenary addresses at international meetings. For example, in July, 2012, he gave a well-received keynote address at the Global Biodiversity Informatics Congress, sponsored by GBIF and held in Copenhagen. The slides from that talk can be seen HERE.
Facilitator
Robbins is a skilled meeting facilitator. He prefers a participatory approach, with part of the meeting involving dynamic breakout groups, created by the participants in real time: (1) individuals propose breakout groups; (2) everyone signs up for one (or more) groups; (3) the groups with the most interested parties then meet, with reports from each group presented and discussed in a subsequent plenary session.
Designer
Robbins has been engaged with photography and design since the 1960s, when he worked for a professional photography laboratory. He now prefers digital photography and tools for their precision and reproducibility. He designed his first web site more than 20 years ago and he personally designed and implemented this web site. He engages in graphic design as a hobby.
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Dinosaur tail, complete with feathers, found preserved in amber.
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Mysterious fast radio burst (FRB) detected in the distant universe.
Big Data & Informatics
Big Data: Buzzword or Big Deal?
Hacking the genome: Identifying anonymized human subjects using publicly available data.