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Bibliography on: Metagenomics

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Robert J. Robbins is a biologist, an educator, a science administrator, a publisher, an information technologist, and an IT leader and manager who specializes in advancing biomedical knowledge and supporting education through the application of information technology. More About:  RJR | OUR TEAM | OUR SERVICES | THIS WEBSITE

RJR: Recommended Bibliography 24 Dec 2025 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®)

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RevDate: 2025-12-23

Sun M, Kong L, Farooq MA, et al (2025)

Comparison of the plastisphere and surrounding waste in landfills: Bacterial community assembly and functional evolution.

Journal of environmental management, 397:128372 pii:S0301-4797(25)04348-8 [Epub ahead of print].

Plastic waste in landfills forms unique microbial habitats termed the plastisphere, a critical but underexplored niche in anaerobic, dark landfill environments. To advance plastisphere research in such terrestrial anaerobic settings and inform landfill management, this study employed an integrated approach of 16S rRNA sequencing and metagenomics to systematically investigate the bacterial community structure, assembly mechanisms, and metabolic functions of the plastisphere. Network analysis indicated that the plastisphere sustains a simplified yet highly modular co-occurrence network shaped by competitive niche partitioning. The plastisphere and surrounding waste exhibited no overlap in network keystone taxa. Key plastisphere taxa-including g_Devosia, g_Rummeliibacillus, and g_Dethiobacter-demonstrated enhanced carbon utilization and stress perception capabilities, playing crucial roles in community assembly and plastic degradation. Although stochastic processes dominated community assembly (73.75 %), homogeneous selection (HoS) driven by plastic properties and keystone taxa enriches pathogens (e.g., Microbacterium spp.) and nitrogen-cycling (e.g., Pseudohongiella) guilds. Metagenomic analysis confirmed the enrichment of denitrification (narB, nosZ) and sulfite reduction (sir, cysCDHIJN) genes, indicating elevated risks of N2O and H2S emissions, especially during early landfill stabilization. Redundancy analysis identified pH, biodegradable organic matter (BDM), and total Kjeldahl nitrogen (TKN) as key environmental drivers. These findings establish the landfill plastisphere as a reservoir of plastic-degrading and potentially pathogenic microorganisms, with important implications for greenhouse gas emissions, odor control, and landfill management strategies. This study provides foundational insights into the ecological consequences of anthropogenic microhabitats in terrestrial environments, bridging critical knowledge gaps in plastisphere ecosystems within landfills-an anaerobic, dark environment rich in organic matter.

RevDate: 2025-12-23
CmpDate: 2025-12-23

Elorriaga IT, Imatz E, Ibarlucea B, et al (2025)

Public Health.

Alzheimer's & dementia : the journal of the Alzheimer's Association, 21 Suppl 6:e099250.

BACKGROUND: The ITTHACA project is a collaborative initiative involving six research institutions from the Basque Country including Universities, Health, Technology and Basic Research Institutions. It builds upon the ongoing CITA GO-ON) CITA Go-On study, ClinicalTrials.gov, NCT04840030) cohort study, which adapts the Finnish FINGER [Ngandu, T., et al. 2015] model to the local context. ITTHACA focuses on enhancing healthy aging by identifying markers, prediction models and sensors for in vivo monitoring that allow the establishment and implementation of combined intervention strategies in the population.

METHOD: This one-year randomized-controlled trial (total n = 250; 125 control and 125 intervention), focused on 60-85-year-old males and females at risk of dementia, adopts a multimodal approach. Biomarker identification includes proteomics and metabolomics in biological fluids (blood) and 16S metagenomics and lipidomics in the gut microbiome (stool), as well as employing a FINGER-like mice model. Biosensor technology under development includes multi-channel bioimpedance spectroscopy for tissue analysis and electrochemical sensors for real-time detection of aging markers in biofluids. Predictive modeling integrates data from these analyses and multiple domains-cognition, cardiovascular health, voice, food texture perception and habits-to generate diagnostic tools that monitor biological aging and inform early interventions. A proof-of-concept study in an older population sample, with special attention to user experience, will evaluate the potential benefits of these findings in improving the quality of life for older adults.

RESULT: Not applicable. The ITTHACA project is ongoing, with outcomes expected to include validated biomarkers, novel biosensors, and predictive models that facilitate early interventions.

CONCLUSION: ITTHACA demonstrates the power of interdisciplinary collaboration in tackling the complex multidomain challenge of aging. By leveraging the expertise of complementary Basque Country Research Centers, this initiative is poised to produce innovative resources for prolonging healthy and autonomous living. The project's outcomes are expected to support new therapeutic strategies and socio-healthcare interventions that address the rising prevalence of aging-related conditions, including cognitive decline.

RevDate: 2025-12-23
CmpDate: 2025-12-23

Dinesh D, Morgan X, Scott TM, et al (2025)

Public Health.

Alzheimer's & dementia : the journal of the Alzheimer's Association, 21 Suppl 6:e098660.

BACKGROUND: Gut bacterial variations and dysbiosis may influence cognitive function via the microbiome-gut-brain-axis. Gut viruses may also, directly or indirectly, impact cognitive function by modulating the gut bacteria. Hispanics/Latinos, who may have unique microbiome characteristics, are at a higher risk of Alzheimer's disease and related dementia. There is a lack of research on the gut microbiome and, especially, the virome in Hispanics/Latinos. Here, we examined variations in the gut bacteriome and virome associated with cognitive function in the Boston Puerto Rican Health Study (BPRHS), a prospective cohort of older Puerto Rican adults residing in the Boston area.

METHOD: This study was conducted in 316 BPRHS participants with fecal metagenomic sequencing and cognitive assessments, summarized as a composite global cognitive score (GCS). Taxonomic profiling of the gut bacteriome was performed using MetaPhlAN 4.0. Gut virome profiles from shotgun sequencing were generated using BAQLaVa 1.0. Cross-sectional associations between bacterial and viral composition and GCS were assessed using alpha (Shannon) and beta (Bray-Curtis) diversity indices. Feature-wise testing was performed using multivariate linear regression (MaAsLin2) to identify bacterial and viral taxa associated with the GCS.

RESULT: Among 316 participants (mean age 68.7 years, 70.9% female), there were no differences in overall bacterial or viral composition, measured by alpha and beta diversity, based on GCS. In feature-wise analyses, adjusted for age, sex, and BMI, among participants with higher GCS (better cognitive function), we observed an enrichment of Faecalibacterium prausnitzii bacterium (β = 0.78, p = 0.01, FDR p = 0.22), and depletion of the phage Carjivirus communis (β = -1.07, p < 0.01, FDR p = 0.09).

CONCLUSION: The observed results suggest an enrichment of F. prausnitzii, a beneficial butyrate producing taxa, among participants with better cognitive function, and enrichment of Carjivirus communis, a Crassvirales dsDNA Bacteroidetes phage, among participants with worse cognitive function. A recent study reported an association between Bacteroidetes phages and amyloid β and Alzheimer's disease pathology. Gut viral variations may modulate gut bacteria, impacting cognitive function. Future work will test interactions of the gut bacteriome, virome and their functional pathways, as related to cognitive function in Puerto Rican adults.

RevDate: 2025-12-23
CmpDate: 2025-12-23

Fernando WM, Martins RN, Rainey-Smith SR, et al (2025)

Public Health.

Alzheimer's & dementia : the journal of the Alzheimer's Association, 21 Suppl 6:e096704.

BACKGROUND: Alzheimer's disease (AD) is a progressive neurodegenerative disorder, with evidence suggesting gut microbiota plays a critical role in its onset and progression. Shifts in probiotic communities during the preclinical phase may influence disease pathways through gut-brain interactions. This study investigates how age, sex, and APOE ε4 genotype impact probiotic composition and microbial metabolite production in cognitively unimpaired individuals.

METHOD: Stool samples from 123 participants in the Australian Imaging Biomarkers and Lifestyle (AIBL) study and WA Memory Study (WAMS) were analysed. Participants were grouped by age (<70, ≥70 years), sex, and APOE ε4 carrier status. Metagenomic sequencing assessed gut microbial composition, focusing on probiotics like Bifidobacterium and Lactobacillus. Gas-liquid chromatography measured short-chain fatty acids (SCFAs), including butyrate, propionate, and acetate.

RESULT: Gut Microbiota Composition: Dominant bacterial phyla included Actinobacteria, Bacteroidetes, Cyanobacteria, and Firmicutes across all groups. Age-Related Changes: Older participants (≥70 years) showed significant declines in Bacteroidetes and Firmicutes, reflecting reduced microbial diversity. Sex-Specific Differences: Females had lower Firmicutes levels, reducing butyrate production, essential for inflammation control and brain health. APOE ε4 Carriers: Older APOE ε4 carriers showed a decline in butyrate-producing bacteria, particularly Faecalibacterium prausnitzii, leading to reduced butyrate and elevated acetate levels. Sex and APOE ε4: Female APOE ε4 carriers ≥70 exhibited the most pronounced butyrate decline, indicating increased vulnerability to dysbiosis and inflammation. Probiotic Alterations: Key probiotics, including Bifidobacterium and Lactobacillus, were significantly reduced in older APOE ε4 carriers.

CONCLUSION: Age, sex, and APOE ε4 status significantly influence gut microbiota composition and SCFA production at the preclinical stage of AD. Reduced butyrate levels, particularly in older female APOE ε4 carriers, highlight the importance of gut health in mitigating AD risk. These findings suggest targeted probiotic interventions could restore gut balance and delay AD progression.

RevDate: 2025-12-23
CmpDate: 2025-12-23

Konganti K, Kase JA, N Gonzalez-Escalona (2025)

Centriflaken: An automated data analysis pipeline for assembly and in silico analyses of foodborne pathogens from metagenomic samples.

PloS one, 20(12):e0329425 pii:PONE-D-25-38731.

Rapid and comprehensive analysis of metagenomic data from samples associated with foodborne outbreaks is of critical importance in food safety. Equally important is the need for automated analysis pipelines that allow the rapid and effective construction of metagenomic assembled genomes (MAGs) to enable bacterial source-tracking from metagenomic data. Here, we present centriflaken, an automated precision metagenomics pipeline for detecting and characterizing Shiga toxin-producing Escherichia coli (STEC) from metagenomic data. centriflaken streamlines the process of generating metagenome-assembled genomes (MAGs) and conducting in silico analyses of STECs, significantly reducing the time and manual effort required for comprehensive pathogen profiling. centriflaken was validated using Oxford Nanopore long-read sequencing data from agricultural water enrichments, successfully reproducing results from our previous study that involved multiple manual bioinformatics steps (Maguire et al., 2021). The tool's efficacy was further demonstrated through its application to ZymoBIOMICS microbial community standards and 21 additional irrigation water samples, completing STEC precision metagenomics analyses in less than 7 hours per sample. centriflaken's versatility allows for the analysis of user-defined taxa beyond STEC, including other foodborne pathogens like Listeria monocytogenes or Salmonella. The pipeline generates comprehensive summary plots and tables, accessible through a MultiQC HTML report. Designed for portability, centriflaken packages all software dependencies within containers and virtual environments. This open-source tool is available on GitHub under the MIT license (https://github.com/CFSAN-Biostatistics/centriflaken), offering a powerful resource for rapid, automated pathogen detection and characterization in food safety applications.

RevDate: 2025-12-23

Zhang Z, Ye B, He J, et al (2025)

Microbial metabolites associated with healthy lifestyles in relation to metabolic syndrome and vascular health: a cross-sectional study.

mSystems [Epub ahead of print].

UNLABELLED: Lifestyle behaviors influence the risk of metabolic syndrome (MetS) and affect vascular health. However, the interactions between gut microbiota and lifestyle behaviors in relation to MetS, as well as the specific microbial taxa and metabolites involved, remain unclear. Here, we aimed to investigate the associations among healthy lifestyle behaviors, gut microbiota, and MetS and to explore the potential mediating roles of microbially derived metabolites in these associations. A total of 1,342 participants with complete assessments of the Healthy Lifestyle Score (HLS), MetS, and vascular health were enrolled. Fecal samples were collected and subjected to metagenomic sequencing. Host genetic data were obtained using a high-density genotyping array, and plasma metabolites were quantified by liquid chromatography-mass spectrometry. Using generalized linear models, we found that increased abundances of Alistipes putredinis, Odoribacter splanchnicus, and Roseburia hominis were associated with higher HLS and a reduced risk of MetS. Eleven microbial metabolic pathways were independently correlated with both HLS and MetS. Furthermore, increased plasma levels of cinnamoylglycine and betaine, driven by enhanced microbial capacity for homolactic fermentation, were identified as potential microbial effectors associated with MetS and vascular health. These findings indicate that the association between HLS and MetS may involve modulation of the gut microbiota and their metabolites and highlight the potential to enhance the beneficial effects of healthy behaviors on MetS and vascular health through microbiota-modifying interventions.

IMPORTANCE: Metabolic syndrome raises the risk of heart disease and diabetes, yet practical levers to prevent it remain limited. We show that everyday healthy habits align with a gut microbial "signature" linked to better vascular health and lower metabolic risk. Using metagenomics, metabolomics, and genetic causal analyses, we identify specific bacteria (Alistipes putredinis, Odoribacter splanchnicus, and Roseburia hominis) and microbially produced molecules-especially cinnamoylglycine and betaine from enhanced homolactic fermentation-that may mediate these benefits. These findings connect lifestyle, the gut microbiome, and blood metabolites in a single framework, suggesting actionable biomarkers to monitor risk and potential microbiota-targeted strategies (diet and pre/probiotics) to improve cardiometabolic health. By highlighting concrete microbial pathways and metabolites, our work advances the path toward precision prevention and low-cost interventions for metabolic syndrome and vascular disease.

RevDate: 2025-12-23

Bowerman KL, Lu Y, McRae H, et al (2025)

Metagenomic analysis of fecal microbiomes reveals genetic potential for diverse hydrogen management strategies in marsupials.

mSystems [Epub ahead of print].

Methane is an end product of plant biomass digestion by gut microbiota, though the amount produced and/or released varies between hosts. On a per-unit-of-feed basis, macropodid marsupials (e.g., kangaroos) have been reported to emit less methane than ruminant livestock, despite a similar diet, although measurements exist for only a subset of macropodid species. Competition for hydrogen within the gut microbiome, particularly through alternative hydrogen sinks to methanogenesis, influences methane production; therefore, characterizing hydrogen management strategies within a host system can provide insights into methane emission profiles. In this study, we analyzed 33 fecal microbiomes of 14 marsupial species (predominantly captive animals) to provide the first systematic characterization of methanogen types and hydrogen-cycling genetic capacity across marsupial gut microbiomes. We recovered 1,394 metagenome-assembled genomes and identified host-associated bacterial signatures that varied significantly between marsupial species. Comparative analysis with fecal microbiomes from high- and low-methane-emitting mammals revealed that marsupials display heterogeneous hydrogen management strategies: some harbor elevated methanogenesis genes (mcrA, methanogen-specific hydrogenases), while others show enrichment of bacterial hydrogen-uptake hydrogenases and alternative electron acceptor pathways (nitrate/nitrite reduction, sulfite reduction). This predicted functional variation occurs both between and within marsupial families and gut types, suggesting that hydrogen management capacity may differ within taxonomic and anatomical classifications. These results demonstrate that marsupial gut microbiomes cannot be treated as a functionally homogenous group regarding methane emissions and highlight the need for species-specific measurements to accurately assess their methanogenic potential and inform ecological models of greenhouse gas production.IMPORTANCEHerbivorous marsupials such as kangaroos and wallabies have been reported to produce significantly lower methane emissions than ruminant livestock despite eating a similar diet, yet the microbial mechanisms underlying this difference remain poorly understood. Here, we conduct a comparative study of fecal microbiomes of 14 marsupial species to provide the first investigation of hydrogen-cycling genetic capacity across these animals. Through comparative analysis with fecal microbiomes of high- and low-methane-producing animals, we identify enrichment of bacterial genes for alternative hydrogen uptake and disposal pathways in some marsupials, supporting competition for hydrogen playing a role in the level of methane production. These data also indicate variation in hydrogen management between marsupials, including within species, suggesting methane emission capacity may vary at the level of the individual.

RevDate: 2025-12-23

Hu B, An L, Wu M, et al (2025)

Metagenomics reveals potential interactions between Patescibacteriota and their phages in groundwater ecosystems.

mSystems [Epub ahead of print].

UNLABELLED: Patescibacteriota is a vast lineage composed of bacteria with ultra-small size, streamlined genomes, notable defects in core metabolic potential, and symbiotic lifestyle, which are widely detected in groundwater ecosystems. Increasing attention has focused on the physiological and ecological significance of Patescibacteriota, while the potential interactions between Patescibacteriota and their phages still need more exploration. Here, we collected 82 groundwater metagenomic data sets and further derived 1,162 phages with the potential to infect 2,439 groundwater Patescibacteriota metagenome-assembled genomes (MAGs). Notably, the groundwater Patescibacteriota MAGs were predominantly infected by temperate phages, and viral operational taxonomic unit/host Patescibacteriota operational taxonomic unit (OTU) abundance ratios were significantly negatively correlated with the relative abundance of host Patescibacteriota OTUs. Intriguingly, the groundwater Patescibacteriota phages encoded various auxiliary metabolic genes (AMGs) that might promote symbiotic lifestyle and metabolic potential of host Patescibacteriota MAGs. These included AMGs associated with concanavalin A-like lectin/glucanases superfamily and O-Antigen nucleotide sugar biosynthesis, which could enhance surface adhesion of host Patescibacteriota MAGs. Moreover, AMGs related to the ABC transport system and the P-type transporter could strengthen metabolic exchange and uptake of essential nutrients from the surroundings. Additionally, AMGs involved in various metabolic pathways might alleviate metabolic deficiencies in host Patescibacteriota MAGs.

IMPORTANCE: Here, we sought phages that were capable of infecting Patescibacteriota metagenome-assembled genomes (MAGs), and further explored the diversity and novelty of Patescibacteriota phages, as well as the mechanisms underlying phage-Patescibacteriota interactions in groundwater ecosystems. The abundance profiles of phage-Patescibacteriota interactions suggested that lysogenic infection may represent a mutually adapted strategy between Patescibacteriota and their phages in groundwater ecosystems. Furthermore, the groundwater Patescibacteriota phages possessed diverse auxiliary metabolic genes which might facilitate the symbiotic associations and metabolic exchange between host Patescibacteriota MAGs and other free-living microbes and expand the metabolic capabilities of host Patescibacteriota MAGs. This study elucidated the mechanisms of phage-Patescibacteriota interactions and the potential roles of phages in modulating the physiology and ecology of Patescibacteriota within groundwater ecosystems.

RevDate: 2025-12-23
CmpDate: 2025-12-23

Sahakyan H, Mutz P, Tobiasson V, et al (2026)

Exploring the protein universe with distant similarity detection methods.

Protein science : a publication of the Protein Society, 35(1):e70397.

During the last few years, the body of data on proteins is expanding almost exponentially with the development of advanced methods for gene sequencing, protein structure determination, particularly by cryoelectron microscopy, and structure prediction using artificial intelligence-based approaches. These developments create the potential for a comprehensive exploration of the protein universe, the entirety of the proteins existing in the biosphere. Elucidation of the relationships among proteins including the most distant ones, where only the core fold is shared, is crucial for understanding protein functions, folding mechanisms, and evolution, as well as the evolution of cellular life forms and viruses. In this brief review, we discuss methods that shaped the field of protein bioinformatics, first, through comparative sequence analysis, and the recent developments in protein structure prediction that transformed the state of the art in the comparative analysis of distantly related proteins. The combination of the rapidly growing databases of genome and metagenome sequences with sensitive methods for sequence comparison and the new generation of structure analysis tools can make charting the protein universe at the structural level a realistic goal.

RevDate: 2025-12-23

Ricci F, Hutchinson T, Leung PM, et al (2025)

Chemosynthesis enables microbial communities to flourish in a marine cave ecosystem.

The ISME journal pii:8402458 [Epub ahead of print].

Chemosynthesis, an ancient metabolism that uses chemical compounds for energy and biomass generation, occurs across the ocean. Although chemosynthesis typically plays a subsidiary role to photosynthesis in the euphotic ocean, it is unclear whether it plays a more important role in aphotic habitats within this zone. Here, we compared the composition, function, and activity of microorganisms colonising the sediment of a marine cave at mesophotic depth, across a transect from the entrance to the interior. Microbes thrived throughout this ecosystem, with interior communities having higher diversity than those at the entrance. Analysis of 132 species-level bacterial, archaeal, and eukaryotic metagenome-assembled genomes revealed niche partitioning of habitat generalists distributed along the cave, alongside specialists enriched across the entrance and interior environments. Photosynthetic microbes and photosystem genes declined in the inner cave, concomitant with enrichment of chemosynthetic lineages capable of using inorganic compounds such as ammonium, sulfide, carbon monoxide, and hydrogen. Biogeochemical assays confirmed that the cave communities consume these compounds and fix carbon dioxide through chemosynthesis, with inner communities mediating higher cellular rates. Together, these findings suggest that the persistent darkness and low hydrodynamic disruption in marine cave sediments create conditions for metabolically diverse communities to thrive, sustained by recycling of inorganic compounds, as well as endogenous and lateral organic matter inputs. Thus, chemosynthesis can sustain rich microbial ecosystems even within the traditionally photosynthetically dominated euphotic zone.

RevDate: 2025-12-23

Xie X, Chen L, Yuan J, et al (2025)

Metagenomic characterization of the metabolism, evolution, and global distribution of Candidatus Accumulibacter members in wastewater treatment plants.

The ISME journal pii:8402456 [Epub ahead of print].

Deciphering the genomic basis of ecological diversification in activated sludge microbiomes is essential for optimizing treatment technology and advancing microbial ecology. Here, we present a global genome-resolved investigation of Candidatus Accumulibacter, the primary functional agent of enhanced biological phosphorus removal, based on 828 metagenomes from wastewater treatment plants across six continents. We recovered 104 high-quality Candidatus Accumulibacter metagenome-assembled genomes, discovering a new clade (Clade IV), substantially expanding the known phylogenetic diversity and revealing a ubiquitous yet geographically heterogeneous global distribution. Phylogenomic and pangenome analyses uncovered extensive clade-specific gene gain and loss, particularly in nitrogen metabolism, suggesting divergent evolutionary trajectories shaped by relaxed selection and niche adaptation. Genome-wide patterns of convergent streamlining and enriched antiviral defense systems indicate selective pressures from strong competition and viral predation. Constraint-based metabolic modeling revealed pervasive amino acid autotrophies and metabolic complementarity, coupled with distinct carbon utilization strategies that support ecological specialization across operational settings. Experimental validation reconciled model-phenotype discrepancies, highlighting the importance of transporter promiscuity and gene regulation in carbon substrate assimilation. Collectively, our findings redefine Candidatus Accumulibacter as a dynamic model of microbial genome plasticity, metabolic adaptation, and ecological resilience, providing an insight for understanding how microbial communities adapt and respond under engineered environmental conditions.

RevDate: 2025-12-23

Lau KJX, Ma A, Chen B, et al (2025)

Controlled irrigation suppresses methane emissions by reshaping the rhizosphere microbiomes in rice.

Microbiology spectrum [Epub ahead of print].

The rhizosphere microbiomes of rice plants under conventional flood irrigation consist of highly complex consortia of microorganisms and, in particular, methanogens purportedly associated with methane emissions therein. Controlled irrigation has been proposed as a cultivation method of choice over continuous flooding to reduce water and fertilizer usage in an aerobic environment. However, a systematic understanding of the assembly and function of microbiota in the rhizosphere under drip and flood irrigation remains unclear. Using empirical analyses, we report a significant reduction in methane emissions in controlled irrigation compared to the flooded environment. Genotypic or varietal differences did not influence such methane emissions under conventional flooded cultivation of rice. Using metagenomic sequencing and computational analyses, we provide a deeper understanding of how drip irrigation or continuous flooding affects the root-associated microbiomes in rice. Rhizosphere soil from two different rice varieties, Huanghuazhan and Temasek rice, grown under drip or flood conditions in a greenhouse, was collected over 2 months post-transplantation for metagenomic analysis. Our results reveal that drip irrigation favors microbes involved in the nitrifying-denitrifying processes, while continuous flooding enriches for methanotrophs and methanogenic archaea. Syntrophic microbiomes associated with methanogenesis were significantly reduced in drip irrigation. Several keystone taxa were evident in the co-occurrence network model related to methanogenic, methanotrophic, nitrifying, sulfur-oxidizing and sulfur-reducing activities. Lastly, oxygen availability and redox potential were identified as key drivers that reshape rhizosphere microbiota and the associated metabolic functional differences observed between the two irrigation regimes, leading up to the microbial mitigation of climate impact.IMPORTANCEUnlike previous studies in alternate wet-dry irrigation systems, this study characterized the rice microbiomes in a controlled drip irrigation setting where water levels were maintained at low levels and soil remained unflooded throughout the entire season in a greenhouse. A reduction of more than 90% in methane emissions was observed with drip irrigation compared to flood irrigation. A significant correlation was found between levels of methane emitted and mcrA gene copies detected, with a Pearson correlation coefficient R of 0.77 and P-value of 2.3e - 10. Methanogens are highly abundant in continuously flooded rice soil and are significantly reduced in drip-irrigated soil. Metagenomic profiling indicates that the shifts in microbial diversity under drip irrigation favor nitrifying microorganisms and are likely influenced by increased oxygen availability due to higher soil redox potential.

RevDate: 2025-12-23

Butarelli ACdA, Nakamura FM, Vilela Peres F, et al (2025)

Genomic insights into a versatile deep-sea methanotroph constituting the rare biosphere of a Brazilian carbonate mound complex.

mSystems [Epub ahead of print].

UNLABELLED: Recent discoveries of aerobic methanotrophs in non-seep carbonate-rich environments in the deep sea suggest that these organisms may persist as part of the rare biosphere. Recovering rare, active methanotrophs through targeted culturing is essential for understanding their persistence under the oligotrophic non-seep conditions and for uncovering their genomic adaptations related to the survival in energy-limited ecosystems. In our study, using metagenomic analysis of enrichment cultures from the Alpha Crucis Carbonate Ridge, we discovered Methylotuvimicrobium crucis sp. nov., a novel methanotroph representing the rare biosphere in native sediments, described in accordance with the SeqCode rules. Recent discoveries of aerobic methanotrophs in non-seep carbonate-rich environments in the deep sea suggest that these organisms may persist as part of the rare biosphere. Recovering rare, active methanotrophs through targeted culturing is essential for understanding their persistence under the oligotrophic non-seep conditions, and for uncovering their genomic adaptations related to the survival in energy-limited ecosystems. In our study, using metagenomic analysis of enrichment cultures from the Alpha Crucis Carbonate Ridge, we discovered Methylotuvimicrobium crucis sp. nov., a novel methanotroph representing the rare biosphere in native sediments, described in accordance with the SeqCode rules. Phylogenomic analysis revealed <95% of Average Nucleotide Identity (ANI) to described species, with genomic evidence of deep-sea specialization including: (i) stress adaptation through cold-shock proteins (CspA) and DNA repair systems (UvrD/LexA), (ii) metabolic versatility via complete methane oxidation (pmoABC), nitrogen fixation (nifHDK), and sulfur cycling (sox/sqr) pathways, and (iii) niche partitioning through biofilm formation (GGDEF/EAL) and heavy metal resistance (CopZ/CzcD). Comparative genomics identified a 1,234-gene deep-sea core shared with Methylotuvimicrobium sp. wino1, enriched in mobile elements (TnpA, prophages) suggesting horizontal gene transfer drives adaptation. While undetected in situ amplicon surveys, Methylotuvimicrobium crucis exhibited enrichment under methane availability, demonstrating its role as a latent methane filter. These findings contribute to the understanding of the ecological significance of aerobic methanotrophs in deep-sea systems, revealing how rare microbial taxa with genomic plasticity have the potential to influence biogeochemical cycling in deep carbonate-rich environments.

IMPORTANCE: Microbial communities in deep-sea sediments play crucial roles in global biogeochemical cycles, yet they remain poorly characterized due to the challenges of sampling and culturing under extreme conditions. This study provides a comprehensive overview of microbial diversity and functional potential in carbonate-rich deep-sea sediments, with an emphasis on methane-oxidizing bacteria. By combining high-throughput metagenomics and comparative genomics, we reconstructed high-quality genomes from previously uncharacterized microbial consortia, including novel members of the genus Methylotuvimicrobium. Our findings shed light on the ecological strategies of methanotrophs in oxygen-limited environments and expand the genomic representation of key players in carbon cycling.

RevDate: 2025-12-23

Liu J, Ni H-B, Yu M-Y, et al (2025)

Comprehensive profiling of antibiotic resistance, virulence genes, and mobile genetic elements in the gut microbiome of Tibetan antelopes.

mSystems [Epub ahead of print].

UNLABELLED: Tibetan antelopes, native to high-altitude plateau regions, play an important role in the local ecosystem. Their gut harbors antimicrobial-resistant microbes, including potential pathogens. To explore this, we analyzed 33,925 metagenome-assembled genomes (MAGs), including 7,318 from 68 Tibetan antelopes sequenced in our laboratory. We first profiled the composition of antibiotic resistance genes (ARGs) and then examined their associations with virulence factor genes (VFGs). In total, 2,968 ARGs were identified, conferring resistance to 23 antibiotic classes, with elfamycin resistance being most prevalent. Two ARGs were located on phage-derived sequences, though their phage taxonomy could not be resolved. ARGs were significantly correlated with VFGs, particularly genes linked to adherence and effector delivery systems. Given potential dissemination risks, we further assessed associations between ARGs and mobile genetic elements (MGEs), finding that insertion elements accounted for the largest number of ARG-MGE links. Comparative analysis with other plateau animals and humans revealed seven ARGs uniquely present in Tibetan antelopes. In summary, this study provides the first comprehensive overview of ARG composition in Tibetan antelope gut microbiomes, establishing a baseline for future hypothesis-driven studies and antimicrobial resistance surveillance in wildlife.

IMPORTANCE: Investigating the drug resistance of Tibetan antelope (Pantholops hodgsonii) gut microbiota serves as a critical biological indicator for assessing the impact of human activities (particularly antibiotic contamination) on the fragile ecosystem of the Qinghai-Tibet Plateau. This study untangles the invasion of antibiotic resistance genes (ARGs) into remote conservation areas, suggesting that Tibetan antelopes may act as potential vectors for ARG dissemination across plateau environments. Such findings not only highlight threats to wildlife health but also provide an ecological warning regarding the pervasive environmental risks posed by the global antimicrobial resistance crisis in natural ecosystems.

RevDate: 2025-12-23
CmpDate: 2025-12-23

Dowrick JM, Roy NC, Carco C, et al (2026)

Integrated multi-omic and symptom clustering reveals lower-gastrointestinal disorders of gut-brain interaction heterogeneity.

Gut microbes, 18(1):2604871.

Rome IV disorders of gut-brain interaction (DGBI) subtypes are known to be unstable and demonstrate high rates of non-treatment response, likely indicating patient heterogeneity. Cluster analysis, a type of unsupervised machine learning, can identify homogeneous sub-populations. Independent cluster analyses of symptom and biological data have highlighted its value in predicting patient outcomes. Integrated clustering of symptom and biological data may provide a unique multimodal perspective that better captures the complexity of DGBI. Here, integrated symptom and multi-omic cluster analysis was performed on a cohort of healthy controls and patients with lower-gastrointestinal tract DGBI. Cluster stability was assessed by considering how frequently pairs of participants appeared in the same cluster between different bootstrapped datasets. Functional enrichment analysis was performed on the biological signatures of stable DGBI-predominant clusters, implicating disrupted ammonia handling and metabolism as possible pathophysiologies present in a subset of patients with DGBI. Integrated clustering revealed subtypes that were not apparent using a singular modality, suggesting a symptom-only classification is prone to capturing heterogeneous sub-populations.

RevDate: 2025-12-23
CmpDate: 2025-12-23

Lu X, Dai H, Gu X, et al (2025)

The clinical significance of gut microbiota of chronic obstructive pulmonary disease with functional abdominal bloating and distension.

PeerJ, 13:e20526.

BACKGROUND: Chronic obstructive pulmonary disease (COPD) is a disease with high morbidity and mortality. Functional abdominal bloating/distension (FABD), a functional gastrointestinal disorder characterized by recurrent sensations of abdominal fullness and/or visible abdominal distension without identifiable organic causes. FABD mainly impairs gastrointestinal functions-particularly intestinal transit and gas handling-rather than pulmonary function. This study characterized fecal microbiota in COPD patients with FABD to identify precision medicine biomarkers.

METHODS: Fecal samples from 20 COPD & FABD, 20 COPD, and 10 healthy controls (HC) were analyzed via metagenomic analysis. Gut microbiota diversity/composition were compared, and immune parameters (serum IgG, CD4+/CD8+ T cells) were assessed.

RESULTS: COPD/COPD & FABD patients showed significantly higher fecal microbiota α-diversity (COPD vs. HC: Chao1, P = 0.12; ACE, P = 0.14; Shannon, P = 0.0016; Simpson, P = 0.0013; COPD & FABD vs. HC: Chao1, P = 0.031; ACE, P = 0.031; Shannon, P = 0.00032; Simpson, P = 0.0005) vs. HC. β-Diversity analyses (PCA/PCoA) revealed distinct clustering between patients and HC (PCA, P = 0.014; PCoA, P = 0.013), but no separation between COPD and COPD & FABD (P > 0.05). Linear discriminant analysis (LEfSe) identified 50 discriminative biomarkers: 41 enriched in HC (Bacteroides uniformis), five in COPD & FABD (Bacilli, Enterococcus faecium), and four in COPD (Streptococcus parasanguinis). Notably, Enterococcus faecium was highly abundant in patients (22.04-26.92%) but absent in HC, suggesting a potential association with the COPD-FABD condition. Random forest models showed moderate diagnostic accuracy for all microbes (AUC = 0.632) and strong performance for fungal biomarkers (Clostridium fessum, Clostridioides difficile; AUC = 0.856).

CONCLUSION: Gut microbiota signatures, particularly Enterococcus faecium and fungal taxa, may serve as non-invasive biomarkers for COPD progression and FABD diagnosis, warranting clinical validation.

RevDate: 2025-12-23
CmpDate: 2025-12-23

Nguyen BN, Nguyen LTN, Trinh DTM, et al (2025)

Preliminary insights into the gut microbiota of patients with rheumatoid arthritis in Vietnam.

PeerJ, 13:e20521.

In Vietnam, rheumatoid arthritis accounts for more than 20% of all joint diseases, with a growing number of young patients. The disease progresses rapidly, but its exact cause remains not fully understood. Environmental and lifestyle factors, such as smoking, pollution, obesity, gut microbiota, and infections, play a role in rheumatoid arthritis development. The presence of Gram-positive bacteria in the gut might promote the release of toxic metabolites into the bloodstream, which in turn triggers joint inflammation. Therefore, this pilot study aimed to compare the gut microbiota in 22 patients with newly diagnosed rheumatoid arthritis and 20 healthy individuals recruited at the Bach Mai Hospital, Hanoi, Vietnam. To this end, we analyzed fecal samples from all participants by 16S rRNA metagenomic sequencing. The sequencing data analysis did not reveal any significant differences in alpha diversity between patients and healthy controls. Conversely, unweighted and weighted UniFrac distances (beta diversity metrics) allowed distinct clustering between groups. The abundance of the Lactococcus, Solobacterium, Faecalibaculum, and Corynebacterium genera was increased, and that of Bacteroides was decreased in patients with rheumatoid arthritis compared with healthy controls. Moreover, patients exhibited distinct gut microbiota profiles in function of their disease activity scores (DAS28-CRP, DAS-ESR), rheumatoid factor, and anti-citrullinated protein antibody concentrations. Overall, our study contributes to bridging this knowledge gap and provides a foundation for the study of gut microbial signatures of autoimmune disease in Vietnamese patients. It also highlights the potential role of gut microbes in rheumatoid arthritis diagnosis and management in Vietnam.

RevDate: 2025-12-23
CmpDate: 2025-12-23

Noorian P, Hamann K, Hoque MM, et al (2025)

A model, mixed-species urinary catheter biofilm derived from spinal cord injury patients.

Biofilm, 10:100332.

Complex multispecies biofilms consistently colonise urinary catheters, causing persistent asymptomatic bacteriuria and frequent symptomatic episodes in long-term catheterized individuals. Simple single-species models often fail to capture the complexities of mixed-species interactions and lab-based organisms may not reflect the genomic diversity found in real-world infections. Additionally, growth under flow conditions promotes robust, complex-biofilm structures. Therefore, to reflect the dynamics of in vivo infections, biofilm samples from clinical indwelling catheters of spinal cord injury (SCI) participants colonised by 5-10 species were used to establish polymicrobial macro-fluidic models, in catheters. This resulted in final models of 2-4 species biofilms. Metagenomic techniques using short-read Illumina and long-read Oxford Nanopore sequencing was used to assess the taxonomic composition, in vivo to in vitro biofilms diversity shifts, single nucleotide polymorphism (SNP) analysis and complete metagenome-assembled genomes (MAGs). In silico analysis revealed a high number of varied antibiotic resistance genes, virulence factors and biofilm associated factors present in these biofilms. Antibiotic resistance testing using our models highlighted the drastic differences between planktonic bacteria, single-species and multispecies biofilms. While single-species biofilms show considerably increased tolerance to antibiotics compared to their planktonic counterparts, this resistance is even greater in multispecies biofilms. Under flow conditions, all species in the multispecies biofilm showed increased resistance, unlike static conditions where only most did. Models developed and characterised in this study are expected to facilitate testing of effective strategies to prevent and treat catheter-associated infections by enabling more accurate analysis of biofilm inhibition, disruption and microbial interactions.

RevDate: 2025-12-23
CmpDate: 2025-12-23

Wang W, Huang H, Zhao K, et al (2026)

The Differing Responses of Chlorophyta and Bacillariophyta to Available Resources Result in Diverse Community Patterns in Lakes Situated to the East of the Hu Line During the Autumn.

Water environment research : a research publication of the Water Environment Federation, 98(1):e70248.

Phytoplankton communities are of vital importance to the functioning of freshwater ecosystems, but the role of the metabolic capacity of the community in regulating community dynamics under natural conditions has yet to be sufficiently considered. This study investigated 26 lakes situated along the eastern section of the Hu Line, combining field surveys with metagenome-assembled analyses to ascertain the factors responsible for the divergence in Chlorophyta and Bacillariophyta communities. The results demonstrated that the diversity of Chlorophyta was markedly higher than that of Bacillariophyta whereas the abundance was significantly lower. These discrepancies in community attributes were predominantly attributable to variations in the response of the two algal groups to nutrients. The abundance and diversity of diatom metabolic genes were significantly higher than those of green algae. The greater diversity and extent of metabolic genes in Bacillariophyta confer enhanced metabolic capacity and, consequently, greater adaptive capacity. Such differences in metabolic gene composition may be attributed to the disparate evolutionary pathways that these organisms have followed.

RevDate: 2025-12-23
CmpDate: 2025-12-23

Mei H, Mei J, Sun Y, et al (2025)

Antibiotics guided by metagenomic next-generation sequencing to control infection after total knee arthroplasty: A case report and literature review.

Medicine, 104(51):e46734.

RATIONALE: A prosthetic joint infection is a serious complication of joint surgery, with Staphylococcus aureus being the most common pathogen. In contrast, C. burnetii, the agent of Q fever, is a rare zoonotic parasite primarily found in cattle and sheep. It can be transmitted through respiratory, digestive, and cutaneous routes, destroying host cells and leading to diseases such as bone and joint infections, endocarditis, and interstitial lung disease.

PATIENT CONCERNS: A 75-year-old male patient underwent total knee arthroplasty due to degenerative disease in his left knee. After surgery, he was exposed to cattle and their feces. Fifteen months after the operation, he experienced pain, though there was no significant elevation of erythrocyte sedimentation rate (ESR), C-reactive protein (CRP) and white blood cell (WBC). Oral nonsteroidal anti-inflammatory drugs (NSAIDs) were administered. The pain intensified and was accompanied by swelling. ESR and CRP were elevated, while WBC remained normal. The patient took oral Rifampicin for 28 days without improvement. The knee joint puncture culture was negative. The metagenomic next-generation sequencing (mNGS) detected C. burnetii, and oral Doxycycline for 1 week. The intravenous infusion of Doxycycline and Moxifloxacin continued for 28 days. After the above indexes stabilized, a 1-stage revision surgery was performed, and Doxycycline and Moxifloxacin were administered for 16 days until the indexes returned to normal and symptoms such as knee joint pain and swelling disappeared.

DIAGNOSES: Left knee radiography, laboratory tests, and knee cavity puncture, culture, and mNGS testing were performed to confirm the diagnosis of the pathogen.

INTERVENTIONS: According to mNGS, the left knee was revised and antibiotics were applied before and after the operation until the infection indexes returned to normal and symptoms such as knee pain and swelling disappeared.

OUTCOMES: ESR, CRP, and WBC indexes were normal. Pain and swelling disappeared. Other symptoms disappeared. Joint flexion and extension mobility was good.

LESSONS: In patients with postoperative prosthetic joint infection after total knee arthroplasty, mNGS can identify pathogenic bacteria, inform the use of antibiotics, and enable prompt surgical intervention.

RevDate: 2025-12-23
CmpDate: 2025-12-23

Lin B, Meng X, Pu K, et al (2025)

Early diagnostic strategy for central nervous system bacterial infections after neurosurgery: A retrospective study.

Medicine, 104(51):e46635.

Accurate diagnosis of post-neurosurgical bacterial infection of central nervous system is challenging due to the nonspecific nature of clinical signs and cerebrospinal fluid (CSF) parameters, which often overlap with sterile postoperative inflammation. This study aimed to develop and validate a stepwise diagnostic strategy integrating readily available clinical and basic laboratory indicators to improve the early identification of post-neurosurgical bacterial infection of the central nervous system. A retrospective cohort study was conducted at Tianjin Huanhu Hospital, a tertiary neurosurgical center, from October 2018 to June 2025. We enrolled 176 patients suspected of post-neurosurgical bacterial infection of the central nervous system who underwent CSF metagenomic next-generation sequencing (mNGS). Six diagnostic prediction models, combining clinical features (fever, altered mental status) and CSF parameters (white blood cell count, glucose levels), were constructed. Their diagnostic performance was evaluated against a composite reference standard (mNGS, culture, and clinical treatment response) using receiver operating characteristic analysis. The area under the curve (AUC), sensitivity, and specificity were calculated. Among the 6 models, two demonstrated superior performance. Model 5 (T > 38.0°C + [CSF white blood cell ≥ 2000 × 106/L OR CSF glucose < 2.2 mmol/L OR CSF/Blood glucose ratio < 0.4]) achieved an AUC of 0.768. Notably, Model 6 (T > 39.0°C + Altered Mental Status + Intermittent Fever), relying solely on clinical indicators, achieved a comparable AUC of 0.769. For individual parameters, a high fever threshold (T > 39.8°C) and profoundly low CSF glucose (<1.01 mmol/L) showed high specificities of 99%and 97%, respectively, for ruling in infection. A diagnostic strategy combining severe clinical manifestations (high fever and altered mental status) with high-threshold CSF parameters enables effective risk stratification for post-neurosurgical bacterial infection of the central nervous system. The high performance of a purely clinical model (Model 6) offers a valuable tool for rapid bedside assessment, especially in resource-limited settings. Future prospective, multicenter studies are recommended to validate these algorithms and further refine variable definitions for broader clinical application.

RevDate: 2025-12-22

De Santis A, Bevilacqua A, Corbo MR, et al (2025)

A statistical approach to model soil microbiota versus heavy metals: a case study on soil samples from Foggia, Southern Italy.

Scientific reports pii:10.1038/s41598-025-32485-x [Epub ahead of print].

Heavy-metal (HM) contamination undermines soil functions and food safety, while risk appraisals often rely on chemical indices that can be unstable in the presence of extremes and only indirectly reflect biological integrity. We present an integrative framework that couples standardized contamination metrics with soil microbiome profiling to deliver stable, interpretable classifications and actionable bioindicators. Twelve peri-urban soils from Southern Italy were analysed for potentially toxic elements, including Arsenic (As), Cadmium (Cd), Chromium (Cr), Copper (Cu), Nickel (Ni), Lead (Pb), and Zinc (Zn) and profiled by shotgun metagenomics. We introduce a Standardized Ecological Risk index (SPERI) that preserves the ranking conveyed by conventional composites yet reduces outlier leverage. SPERI strongly agreed with Improved Potential Ecological Risk Index (IPERI) while stabilizing variance (R[2] = 0.896) and improved between-site comparability. Along the contamination gradient, community structure shifted consistently: families such as Pseudomonadaceae, Xanthomonadaceae and Rhodospirillaceae increased with risk, whereas Geodermatophilaceae and Nocardiaceae declined. Simple decision-tree models trained on family-level relative abundances reliably separated SPERI classes and repeatedly selected Zn- and Cd-enriched sites as primary split drivers, aligning microbial signals with chemical risk. By combining open, reproducible analytics with jointly chemical- and microbiome-informed endpoints, this workflow improves the interpretability and transferability of ecological risk assessment and supports targeted remediation and monitoring in contaminated agro-ecosystems.

RevDate: 2025-12-22

Wikki I, Palmu J, Kauko A, et al (2025)

Prospective association between the gut microbiota and incident pneumonia: a cohort study of 6419 individuals.

Respiratory research pii:10.1186/s12931-025-03453-w [Epub ahead of print].

BACKGROUND: Previous animal studies have identified the protective capacity of the gut microbiota against respiratory infections. Nevertheless, the prospective association between human gut microbiota and pneumonia risk remains unknown.

OBJECTIVES: To evaluate the links between gut microbiota and incident pneumonia in a representative population sample.

METHODS: We performed shotgun metagenome sequencing on stool samples from 6419 FINRISK 2002 participants. Participants were followed up for incident pneumonia using nationwide health register data. We employed multivariable-adjusted Cox regression models and permutational multivariate analysis of variance (PERMANOVA) to assess the association of gut microbiome alpha diversity, compositional variation (beta diversity), and taxonomic composition with pneumonia risk.

RESULTS: Altogether, 685 patients (10.7%) developed pneumonia during a mean follow-up of 17.8 years. Alpha diversity was not associated with incident pneumonia (hazard ratio [HR] 1.00; 95% confidence interval [CI] 0.93 - 1.08), whereas community composition was (PERMANOVA R[2] = 0.03%; P = 0.02). We observed an inverse association between the relative abundance of butyrate-producing bacteria and incident pneumonia (HR per 1-SD increase 0.91; 95% CI 0.85-0.98). The relative abundance of Bacteroides_F pectinophilus, Eubacterium_G ventriosum, Agathobaculum butyriciproducens, Butyribacter intestini, Eubacterium_I ramulus, CAG-1427 sp000435675, and CAG-603 sp900066105 were inversely associated with pneumonia risk. The relative abundance of Clostridium_AQ innocuum was positively correlated with pneumonia risk.

CONCLUSIONS: The gut microbiota composition, and especially the relative abundance of butyrate-producing bacteria, was associated with lower pneumonia risk in the population. These findings warrant further studies to investigate whether microbiome modulation to increase short chain fatty acid production through diet, prebiotics, or probiotics could reduce pneumonia risk.

RevDate: 2025-12-22

Williams GM, Hoedt EC, Duncanson K, et al (2025)

Inverse associations between Mediterranean diet constituents and the gut microbiota in metabolic-associated steatotic liver disease (MASLD): a case-control study.

Nutrition & metabolism pii:10.1186/s12986-025-00939-8 [Epub ahead of print].

BACKGROUND: Dietary therapy, specifically for weight loss, is currently considered first-line therapy for metabolic-associated steatotic liver disease (MASLD). However, increasing recognition of the role of the gut-liver axis in MASLD highlights potential for microbiota-modulating dietary therapy to improve outcomes. This study aimed to explore dietary variables relevant to gut microbiota in MASLD.

METHODS: Twenty-five adults with MASLD and 25 healthy controls were recruited using a retrospective case-control design and characterised using 3-day dietary intake records, clinical markers, and shotgun metagenomic sequencing.

RESULTS: MASLD participants consumed less dietary fibre (p = < 0.01), very long chain omega-3 fatty acids (p = 0.02), nuts and seeds (p = 0.03), whole grains (p < 0.01) and vegetables (p = 0.04). Participants with MASLD had lower abundance of Alistipes senegalensis (r=-0.01, p = 0.04), Coprococcus eutactus (r=-0.07, p = 0.006), Faecalibacterium (r=-0.02, p < 0.001), and higher abundance of Ruminococcus torques (r = 0.04, p = 0.02), and less expression of functional pathways associated with ethanol production, methionine, folate and branched-chain amino acid metabolism. Bacterial species and functional pathways more abundant in MASLD were positively associated with intake of added sugars and saturated fat, and negatively associated with unsaturated fatty acid and dietary fibre intake.

CONCLUSIONS: Microbiota characteristics differ between individuals with and without MASLD, and this is influenced by dietary intake. Future translation-focused research investigating dietary interventions and the gut-liver-axis in MASLD are warranted.

RevDate: 2025-12-22
CmpDate: 2025-12-22

Chen Q, Xu J, Yang J, et al (2025)

Gut microbiota analysis in children with autism spectrum disorder and their family members.

Scientific reports, 15(1):44282.

Autism spectrum disorder (ASD) is a neurodevelopmental condition characterized by deficits in social communication and interaction, alongside restricted, and repetitive behaviors. Emerging evidence suggests that gut microbiota alterations may contribute to ASD pathogenesis via the gut-brain axis. However, many previous studies have not adequately controlled for confounding genetic and environmental variables. In this study, we examined the gut microbiota profiles of 19 children with ASD, 8 siblings with non-ASD, and 36 parents from 17 families, providing a unique design that minimized biases related to shared genetic and familial environments. Metagenomic sequencing revealed significant differences in gut microbiota diversity and composition between groups. Specifically, children with ASD had lower abundances of Bifidobacterium and higher abundances of both Bacteroides and Clostridium species compared to their siblings, with notable dysbiosis correlated to ASD-specific symptoms. These findings highlight the potential role of microbiota alterations in ASD pathogenesis and suggest familial microbiota traits influenced by both genetic and environmental factors. Further exploration of gut microbial therapies could offer promising avenues for ASD intervention.

RevDate: 2025-12-22

Li M, Gao S, Cheng J, et al (2025)

Potential biomarkers for human Ascending aortic aneurysm identified through metagenomic and metabolomic Analyses: A case-control study.

Journal of advanced research pii:S2090-1232(25)01016-1 [Epub ahead of print].

INTRODUCTION: Ascending aortic aneurysm (AsAA) is a high-risk cardiovascular condition; recent research indicates a possible association between gut microbiota, plasma metabolites, and the pathogenesis of AsAA.

OBJECTIVE: This study aims to investigate the compositional and metabolic alterations in the gut microbiota of AsAA patients to identify potential biomarkers for AsAA.

METHODS: This study enlisted 72 participants, comprising 44 individuals with AsAA and 28 healthy controls. All participants underwent examination for clinical features, and fecal and plasma samples were obtained for metagenomic and metabolomic studies.

RESULTS: Metagenomic analysis revealed a significant reduction of 23 bacterial species in AsAA patients, including Bifidobacterium adolescentis, Bifidobacterium longum, Lactiplantibacillus plantarum, Enterococcus faecalis, and Streptococcus thermophilus, while 52 bacterial species, such as Prevotella copri, Phascolarctobacterium faecium, and Eubacterium ventriosum, were found to be enriched. Furthermore, we identified seven microbial co-abundance groups (CAGs), of which three (predominantly comprising Roseburia, Agathobacter, and Prevotella) were significantly elevated in AsAA patients, whereas one (predominantly comprising Escherichia) was substantially diminished. KEGG pathway enrichment analysis indicated that the biosynthesis of unsaturated fatty acids pathway displayed the most pronounced differences between groups. Metabolomics data revealed that 22 metabolites, including ceramides, were significantly elevated, while 8 metabolites, such as threonine, were notably downregulated. Moreover, clinical indicators like C-reactive protein (CRP) and complement components C3 and C4 have shown strong correlations with specific gut microbiota (Streptococcus, Prevotella) and plasma metabolites (threonine, ceramides). These findings indicate that inflammatory responses, metabolic dysregulation, and gut microbiota imbalance are pivotal in the etiology of AsAA.

CONCLUSION: This study demonstrates substantial alterations in gut microbiota composition and plasma metabolites in patients with AsAA. Prevotella and ceramides exhibit potential as biomarkers for AsAA diagnosis. Furthermore, a synergy of Prevotella and ceramides may function as a potent disease prediction classifier, offering novel perspectives on the early diagnosis and targeted treatment of AsAA.

RevDate: 2025-12-22

Akram J, Jin Y, Song C, et al (2025)

Stimulating anaerobic degradation of biodegradable plastics by promoting direct interspecies electron transfer via conductive materials.

Bioresource technology pii:S0960-8524(25)01817-6 [Epub ahead of print].

Although biodegradable plastics (BPs) are promoted as environmentally friendly, they exhibit low degradability and slow degradation rates under anaerobic conditions, creating challenges similar to conventional plastics. This study explores the effects of granular activated carbon and magnetite on the anaerobic digestion of BPs. Results showed that conductive materials improved digestion rates for readily degradable BPs but had no effect on recalcitrant ones unless pretreated. Magnetite increased the maximum methane production rates of cellulose diacetate, poly(3-hydroxybutyrate-co-3-hydroxyvalerate), and thermoplastic starch by 18 %, 37 % and 15 %, respectively, at an organic loading (OL) of 8 gVS/L. Supplementation was especially effective at high OLs, where unamended controls were inhibited by excessive acidification. Metagenomic analysis revealed enrichment of direct interspecies electron transfer-capable microorganisms such as Syntrophaceticus and Methanosarcina, along with associated functional genes, in the supplemented groups. Overall, the findings suggest that conductive materials are most beneficial for readily degradable BPs, especially under high OL conditions.

RevDate: 2025-12-22

Chen J, Cao H, Xu Y, et al (2025)

Is light-to-moderate alcohol drinking associated with the onset of metabolic dysfunction-associated steatotic liver disease in a Chinese cohort?.

The American journal of clinical nutrition pii:S0002-9165(25)00736-1 [Epub ahead of print].

BACKGROUND: The association between light-to-moderate alcohol drinking (≤14 g/d for females; ≤28 g/d for males) and the risk of steatotic liver disease (SLD), including its metabolic dysfunction-associated subtype (MASLD), remains unclear, as does the role of related gut microbiota.

OBJECTIVES: We investigated the association between light-to-moderate alcohol drinking and incident SLD/MASLD, identified gut microbial species associated with such drinking, and evaluated their associations with disease risk.

METHODS: Among 1297 adults from a Chinese community-based cohort, alcohol intake was assessed by validated questionnaire, and SLD was diagnosed by vibration-controlled transient elastography. In a subset with fecal samples at follow-up (n=665), gut microbiota was profiled using shotgun metagenomic sequencing. We used the average alcohol intake from baseline and follow-up to represent long-term drinking habits. Species differentially associated with alcohol intake were identified using zero-inflated Gaussian models with false discovery rate (FDR) correction. Cox and logistic regression were used to estimate hazards ratio (HR) and odds ratio (OR) with 95% confidence interval (CI), respectively.

RESULTS: During follow-up (2020-2025), 513 incident SLD cases were identified. Light-to-moderate drinkers showed higher risks of SLD (HR=1.27, 95% CI: 1.03, 1.58) and MASLD (HR=1.27, 95% CI: 1.01, 1.59) versus abstainers. For the same comparison, liquor consumption was positively associated with SLD (HR=1.29, 95% CI: 1.01, 1.65). We identified 89 microbial species associated with alcohol intake and constructed a microbial score, which was positively associated with SLD (ORT3 vs T1=1.54, 95% CI: 1.03, 2.31, Ptrend=0.05) and MASLD (ORT3 vs T1=1.50, 95% CI: 1.00, 2.26, Ptrend=0.05). Among these species, Stenotrophomonas maltophilia AQ, Olsenella E timonensis, and Firm 11 sp., which were less abundant in drinkers, showed inverse associations with both conditions after FDR correction.

CONCLUSIONS: Light-to-moderate alcohol consumption was associated with increased risks of SLD and MASLD. A gut microbial score based on alcohol-associated species also predicted higher disease risk.

RevDate: 2025-12-22

Ji J, Guo J, Huang Y, et al (2025)

Electroconvulsive therapy modulates brain plasticity in male depression: Links to gut microbial metabolites and diet-derived regulation of Wnt/BDNF signaling.

The Journal of nutritional biochemistry pii:S0955-2863(25)00402-4 [Epub ahead of print].

Electroconvulsive therapy (ECT) stands as the most effective intervention for treatment-resistant depression; however, its interaction with dietary regulation of the gut-brain axis has not been thoroughly explored. This study aimed to elucidate the mechanistic link between ECT, gut microbiota remodeling, short-chain fatty acid (SCFA) production, and neural plasticity. In this study, mice were subjected to chronic restraint stress (6 h/day for 28 consecutive days) to establish a depression-like model. Utilizing a translational approach that incorporated behavioral assessments, multimodal neuroimaging techniques such as PET-CT and laser speckle contrast imaging, along with multi-omics analyses including metagenomics, metabolomics, and transcriptomics in rodent models, we demonstrated that ECT induced significant gut microbiota remodeling, characterized by an enrichment of SCFA-producing genera like Lactobacillus and Bifidobacterium. This remodeling was associated with restored intestinal barrier integrity and elevated plasma SCFA levels. Mechanistically, these microbial metabolites activated hippocampal Wnt/β-catenin signaling pathways, enhancing synaptic plasticity restoration, while concurrent probiotic supplementation further amplified brain-derived neurotrophic factor (BDNF) expression via SCFA-dependent epigenetic mechanisms. Neuroimaging corroborated the normalization of cerebral glucose metabolism and hemodynamic function post-ECT. In conclusion, our findings unveil a novel gut-brain communication pathway by which ECT exerts its antidepressant effects, positioning SCFAs as vital mediators connecting microbial metabolic alterations to neural plasticity. This research not only redefines the role of nutritional biochemistry in neuromodulation but also suggests the potential of microbial metabolite monitoring to tailor antidepressant therapies for enhanced efficacy.

RevDate: 2025-12-22

Sauša S, Zodāne A, Kumar S, et al (2025)

Rapid and Selective Gut Microbiome Modulation by Polyherbal Formulation in Type 2 Diabetes.

Endocrine connections pii:EC-25-0463 [Epub ahead of print].

BACKGROUND: Metformin, the first-line treatment for type 2 diabetes, often induces gastrointestinal side effects, affecting treatment adherence. Recent research suggests that the gut microbiome mediates both the efficacy and tolerability of metformin. This study evaluates the effect of a polyherbal formulation, used as an add-on to metformin, on the gut microbiota in patients with type 2 diabetes and metformin intolerance.

METHODS: We report preliminary findings from the first 7-day intervention phase of an ongoing randomized, placebo-controlled, crossover trial (NCT06846138) in 27 adults with type 2 diabetes. Participants received either polyherbal formulations or a placebo alongside metformin for 7 days. Stool samples were collected pre- and post-intervention for shotgun metagenomic sequencing. Microbial diversity, composition, and pathway functions were analyzed using Kraken2, Bracken, and HUMAnN3. Continuous glucose monitoring was used to assess glycemic metrics.

RESULTS: No significant alpha-diversity changes were observed; however, beta-diversity differed significantly between arms (PERMANOVA R2 = 0.04, p = 0.04). In the polyherbal formulation group, 17 species changed post-treatment (FDR < 0.25), with significant increases in six Bifidobacterium spp. (e.g., B. adolescentis, B. ruminantium). In contrast, the placebo group showed no major microbial shifts. Polyherbal formulation also altered 10 microbial pathways (FDR < 0.25). Continuous glucose monitoring revealed no short-term changes in glycemic levels.

CONCLUSION: Short-term polyherbal formulation co-administration significantly modulates gut microbiota, promoting beneficial taxa like Bifidobacterium in metformin-treated type 2 diabetes patients. This supports the potential role of the polyherbal formulation in microbiome-targeted strategies to improve metformin tolerability and effectiveness.

RevDate: 2025-12-22
CmpDate: 2025-12-22

Yang Z, Yu M, Li P, et al (2025)

Casδ, an evolutionary transitional CRISPR system enables efficient genome editing across animals and plants.

Nucleic acids research, 53(22):.

Clustered regularly interspaced short palindromic repeats (CRISPR)-Cas (CRISPR-associated) adaptive immune systems provide sequence-specific mechanisms for targeting foreign DNA or RNA and have been widely used in genome editing and DNA detection. Type V CRISPR-Cas systems are characterized by a single RNA-guided RuvC domain-containing effector, Cas12. Here, through comprehensive mining of large-scale genomic and metagenomic data from microbial sources, we identified a new Class 2 CRISPR-Cas effector superfamily, designated Casδ, comprising three members with protein sizes ranging from 867 to 936 amino acids. Biochemical analyses revealed that Casδ-1 functions as a single RNA-guided endonuclease with specific recognition of 5'-RYR-3' protospacer-adjacent motifs, where R represents A or G, and Y represents T or C. Casδ-1 exhibits robust double-stranded DNA cleavage activity and target-dependent trans-cleavage activity. Casδ-1 mediates efficient genome editing across species, achieving up to 60% indel rates in human cells while generating homozygous knockout lines in two agriculturally important monocot species (Oryza sativa and Zea mays) through stable transformation. Structural and evolutionary analyses reveal Casδ as an evolutionary transitional nuclease bridging Cas12n and canonical type V systems, featuring a C-terminal loop that is essential for activity. Collectively, Casδ is an evolutionarily distinct, compact (<1000 aa), tracrRNA-free CRISPR system enabling versatile cross-kingdom genome editing.

RevDate: 2025-12-22
CmpDate: 2025-12-22

Zhang Y, Chen W, Wang B, et al (2025)

Enhancing Salmonella Inhibition in Black Soldier Fly Larvae (Hermetia illucens L.) Conversion by Bioaugmentation With Gut Microbiota.

Microbial biotechnology, 18(12):e70242.

Black soldier fly larvae (BSFL) can efficiently convert organic waste into biomass and reduce pathogenic bacteria in organic waste. The microbial composition of the substrate and the gut of BSFL is a pivotal factor in determining the efficacy of BSFL in pathogen elimination. However, there are insufficient data on the gut microbiology of BSFL in relation to pathogen inhibition. To address this gap, we investigated the dynamics of Salmonella during the conversion of chicken manure by BSFL and examined the role of intestinal bacterial communities and core bacteria in reducing Salmonella levels. The results indicate that BSFL treatment can reduce the amount of Salmonella in chicken manure, with the gut microbiome of the BSFL playing a crucial role in this reduction. Combining metagenomic analysis with culturomics methods, we isolated 158 strains from the larval gut, in which seven gut bacteria belonging to the genus Bacillus can promote BSFL to reduce Salmonella. In reinoculation and validation experiments, the combination of BSFL and Bacillus velezensis A2 enhanced the elimination of Salmonella from chicken manure and larvae. This study provides insight into how BSFL can reduce pathogenic bacteria in chicken manure and suggests that pairing BSFL with functional microorganisms can improve the biosafety of organic waste conversion by BSFL.

RevDate: 2025-12-22

Deng C, Hu J, Chen Q, et al (2025)

Expanded global groundwater microbial diversity reveals bioprospecting potential.

Cell reports, 45(1):116760 pii:S2211-1247(25)01532-3 [Epub ahead of print].

Although the terrestrial subsurface harbors a substantial fraction of Earth's microbial biomass, the genomic diversity of groundwater microbiomes and their potential for bioprospecting remain poorly characterized. Here, we recovered 44,320 bacterial and archaeal genomes from in-house and publicly available metagenomic datasets, establishing a large-scale groundwater microbiota catalog (GWMC) spanning 167 phyla, including four candidate phyla and over 12,000 previously uncharacterized species. This unprecedented phylogenetic diversity was accompanied by a bimodal genome size distribution (0.3-12.8 Mbp), revealing divergent strategies of genomic allocation. By mining extensive genomic resources, we found that small genomes prioritized molecular defense and redox regulation, whereas large genomes frequently harbored greater biosynthetic potential. Notably, we establish the largest selenoprotein catalog to date and highlight groundwater as an overlooked hotspot of microbial selenium metabolism. Overall, this work advances our understanding of microbial diversity in aquifers and uncovers underexplored genomic resources with potential for biotechnology and biomedicine.

RevDate: 2025-12-22
CmpDate: 2025-12-22

Yu J, Cheng L, Zhan H, et al (2025)

Potential Mechanisms and Hypotheses for Pathogenic Microorganisms Triggering Kawasaki Disease.

Clinical reviews in allergy & immunology, 68(1):110.

Kawasaki disease (KD) is an acute, self-limiting systemic vasculitis of early childhood and remains the leading cause of acquired heart disease in developed nations. Despite decades of investigation, its etiology and immunopathogenesis are still not fully understood. This review integrates nearly six decades of histopathological, epidemiological, and immunological research to examine infection-driven mechanisms underlying KD. Current evidence indicates that KD may result from a convergence of microbial and host factors: viral infections can trigger mucosal IgA-mediated immune activation; superantigens may induce T-cell receptor (TCR) Vβ-skewed cytokine release; conventional antigens appear to elicit oligoclonal adaptive immune responses consistent with infection-associated vasculitis; and gut microbiota dysbiosis may amplify systemic inflammation through disruption of intestinal barrier integrity and short-chain fatty acid metabolism. Rather than a single-pathogen infection, KD likely reflects infection-triggered immune dysregulation in genetically susceptible children. By contrasting these mechanistic hypotheses, this review highlights the need for longitudinal, multi-omics studies integrating metagenomic, transcriptomic, and serologic analyses to delineate causal microbial signatures, identify diagnostic biomarkers, and guide precision immunomodulatory strategies for this complex pediatric vasculitis.

RevDate: 2025-12-22
CmpDate: 2025-12-22

Pan S, Zhao X, Shi Q, et al (2025)

Significant diversity of human anelloviruses revealed by novel viral sequences identified in human metagenomic data.

The Journal of general virology, 106(12):.

Human torque teno viruses are emerging infectious agents distributed globally and have increasingly been reported to be associated with human diseases. To identify potential anelloviral sequences in available metagenomic data, an in silico screening was performed mainly employing the ORF1, ORF2 and ORF3 nucleotide/protein queries of known human anelloviruses and identified 217 complete ORF1 regions. Pairwise nucleotide-identity analysis with a 69% cut-off - consistent with ICTV species demarcation - revealed 117 novel species across the 3 major human-infecting genera: 15 in Alphatorquevirus, 51 in Betatorquevirus and 51 in Gammatorquevirus. In nearly all cases, these species assignments correspond precisely to monophyletic clusters in maximum-likelihood phylogenies of ORF1 amino acid sequences. Using AlphaFold3-guided modelling together with representative ORF1 alignments, we delineated capsid motifs - the conserved jelly-roll (JR) β-sandwich core (β-strands B-I) and the outward projection domains P1/P2 - and quantified motif lengths across genera, revealing tightly constrained JR lengths with genus-specific but overlapping variation in P1/P2. A few exceptions - where pairwise-based groupings split or merge slightly differently - highlight ongoing challenges in delineating rapidly evolving viruses. Notably, the two deeply branching isolates retain the canonical JR core while exhibiting a TTMDV-like short P2, indicating preservation of key capsid architecture in the newly proposed genus. This work nearly doubles the known species richness of human anelloviruses and introduces a novel genus, underscoring the vast, hidden diversity of the gut virome and its potential impact on human health. By coupling taxonomy with structure-informed ORF1 motif analysis, our study provides biological context for these lineages and a framework for future functional and immunological investigations.

RevDate: 2025-12-22

Gu T, Chen Z, Hutchins DA, et al (2025)

Urea-driven nitrification contributes to N2O production in the oligotrophic euphotic ocean.

The ISME journal pii:8400298 [Epub ahead of print].

Urea is an important alternative nitrogen source to ammonium for nitrification in oligotrophic oceans, yet its role in substrate-driven nitrous oxide (N2O) production remains poorly constrained. Here, we combined N2O isotopomer profiling, 15N-tracer incubations, and metagenomics to quantify and mechanistically resolve substrate-specific archaeal nitrification in the western tropical Pacific euphotic zone. Isotopomer-based mixing and fractionation model indicated that archaeal nitrification accounted for 69.6 ± 14.1% of microbial sources of N2O in oxygenated epipelagic waters. Depth-integrated urea-driven nitrification contributed 14-41% of total nitrification and 21-39% of nitrification-derived N2O, with contributions regulated by substrate proportions. Acidification experiments showed that pH decline inhibited ammonium-driven nitrification (median 21.9%) and enhanced urea oxidation (median 61.9%), whereas N2O production increased for both substrates (median 35.9% and 38.0%). In addition, experimental acidification induced opposite shifts in hybrid versus double-labelled N2O, suggesting pH-driven shifts N-intermediate chemistry and intracellular partitioning. Metagenomic results support the globally widespread urea-type AOA. Together, these results indicate that urea-driven nitrification constitutes a non-negligible, substrate-dependent source of N2O in oligotrophic euphotic zones. We recommend that Earth-system N-cycle models represent urea and ammonium oxidation as distinct pathways with pH-sensitive yields to improve projections of marine nitrification and N2O fluxes under acidification.

RevDate: 2025-12-22

Bell AG, Cable J, Temperton B, et al (2025)

Assessment of the effectiveness of host depletion techniques for profiling fish skin microbiomes and metagenomic analysis.

Microbiology spectrum [Epub ahead of print].

UNLABELLED: Microbiomes on fish mucosal surfaces play crucial roles in nutrient absorption, immune priming, and defense, and disruptions in these microbial communities can lead to adverse health outcomes, including disease. Studying fish microbiomes relies on sequencing microbiota within mucosal-rich samples; however, nucleic acid extraction from these samples is composed predominantly of host DNA, making subsequent bioinformatic processes difficult. Host depletion techniques address this issue by either selectively degrading host DNA before sequencing or retaining bacterial DNA post-extraction. However, their application to fish mucosal samples has been largely unexplored. Here, we assessed the efficacy of various host depletion techniques on fish skin mucosal swabs via either selectively removing CpG-methylated (predominantly eukaryotic) DNA or selectively lysing eukaryotic cells before DNA extraction. Surprisingly, none of the existing methods we assessed effectively reduced host DNA to be practically useful. Furthermore, some methods introduced a bias toward certain bacterial taxa, including the Bacilli class and the Proteobacteria phylum. Our findings illustrate that the currently available host depletion techniques are largely ineffective for reducing host DNA in fish mucosal samples. This poses a major limitation for developing an understanding of the functional composition of fish mucosal microbiomes, as enriching microbiota (and excluding host DNA) is fundamental for cost-effective metagenomic studies and facilitating more accurate analyses of the microbiota metabolome and proteome.

IMPORTANCE: Microbial communities on fish mucosal surfaces are vital for immune function and disease resistance. However, sequencing these communities is hindered by the dominance of host DNA in mucosal samples, which can exceed 99% of total nucleic acids. While host depletion techniques are routinely used in human and mammalian systems to enrich microbial DNA, their efficacy on fish samples remains uncharacterized. In this study, we assessed multiple commercial and published host depletion methods on fish skin microbiomes. None significantly reduced host DNA to levels suitable for high-quality metagenomic sequencing, and some introduced taxonomic bias. We suggest methodological reasons, including differences in fish cell structure and mucus composition compared to mammalian systems, that may explain these shortcomings. Based on our findings, we propose protocol modifications and highlight key areas for improvement. This work identifies critical limitations and offers a foundation for developing optimized host depletion strategies tailored to fish mucosal microbiome research.

RevDate: 2025-12-22
CmpDate: 2025-12-22

Bernate E, Shi Y, Franck E, et al (2025)

A functionally selected Acinetobacter sp. phosphoethanolamine transferase gene from the goose fecal microbiome confers colistin resistance in E. coli.

bioRxiv : the preprint server for biology pii:2025.12.09.693354.

Polymyxins are last-resort antibiotics for infections caused by multidrug resistant Gram-negative bacteria such as Enterobacteriaceae, Pseudomonas aeruginosa and Acinetobacter baumannii . This makes the rise of bacteria exhibiting polymyxin E (colistin) resistance, largely through modification of lipid A moieties, concerning and suggests that it is important to document potential sources of the corresponding resistance genes. This study searched for potential emerging colistin-resistance genes from the environment by investigating a previously performed functional metagenomic selection for colistin resistance of a goose fecal microbiome. We found that the selection captured Acinetobacter sp. DNA fragments which all contained eptA genes. We confirmed their ability to confer significant colistin resistance in E. coli via modification of lipid A in the outer membrane. Furthermore, we found evidence for mobilization of closely related eptA genes in Acinetobacter strains, marking them as potential mcr genes or their precursors. This study highlights the goose fecal microbiome as a potential source for colistin resistance in the environment.

RevDate: 2025-12-22
CmpDate: 2025-12-22

Zhang A, Boucher C, Noyes N, et al (2025)

RAmpSim: A Thermodynamic Simulator for Hybridization Capture in Metagenomic Sequencing.

bioRxiv : the preprint server for biology pii:2025.12.05.692407.

UNLABELLED: Hybridization (bait) capture combined with long-read sequencing enables targeted profiling within complex metagenomes but introduces systematic biases from bait multiplicity, sequence composition, and species abundance that existing simulators ignore. We present RAmpSim , a fast simulator that models bait-target hybridization and fragment capture using a thermodynamic nearest-neighbor energy model and Boltzmann-weighted sampling of binding sites. Fragments are generated through multinomial sampling parameterized by bait concentration, binding energy, and genomic abundance before being passed to existing long-read simulators for modeling platform-specific errors. Implemented in Rust, RAmpSim reproduces empirical within-genome coverage and cross-species enrichment patterns observed in capture-based metagenomic datasets. Compared to uniform-coverage baselines, RAmpSim 's simulated coverage distributions are up to an order of magnitude closer to real data with respect to earth mover's distance. Classification analysis reveals high recall in classifying high coverage regions between simulated and experimental distributions while outperforming a uniform baseline. Supporting accurate benchmarking and bait-set evaluation, RAmpSim provides an interpretable, efficient framework for simulating capture-based metagenomic sequencing.

CODE AVAILABILITY: https://github.com/az002/RAmpSim.git.

RevDate: 2025-12-22
CmpDate: 2025-12-22

Chen K, Talesara A, Thakkar S, et al (2025)

Minimum flow decomposition guided by saturating subflows.

bioRxiv : the preprint server for biology pii:2025.12.11.693570.

The minimum flow decomposition problem abstracts a set of key tasks in bioinformatics, including metagenome and transcriptome assembly. These tasks, collectively known as multi-assembly, aim to reconstruct multiple genomic sequences from reads obtained from mixed samples. The reads are first organized into a directed graph (e.g., overlap graph, splice graph), where each edge has an integer weight representing the number of supporting reads. By viewing the graph as a flow network, the underlying sequences and their abundances can be extracted through decomposition into a minimum number of weighted paths. Although this problem is NP-hard, prior work has proposed an efficient heuristic that transforms the graph by identifying nontrivial equations in the flow values. However, for graphs with complex structures, many equations cannot be fully resolved by existing mechanisms, leading to suboptimal decompositions. In this study, we revisit the theoretical framework of the flow decomposition problem and extend the equation-resolving mechanisms to jointly model all equations in the graph, enabling safe merge operations that iteratively simplify the graph. Experimental results demonstrate that our new algorithm substantially improves decomposition quality over existing heuristics, achieving near-optimal solutions for complex graphs, while running several orders of magnitude faster than the ILP formulation. Source code of our algorithm is available at https://github.com/Shao-Group/catfish-LP.git .

RevDate: 2025-12-22
CmpDate: 2025-12-22

Allshouse T, Amendano M, Caruso B, et al (2025)

The Microbiota of Homemade Tepache Includes Antibiotic-Resistant Microorganisms.

microPublication biology, 2025:.

Tepache is a traditional, homemade Mexican drink made by fermenting pineapple rinds. The natural probiotic bacteria in tepache are said to promote a healthy gut microbiome. This study assessed the microbial community in homemade tepache for diversity, survival in simulated gastric fluid, and antibiotic resistance. Simulated gastric passaging reduced total community numbers but the community density was not strongly impacted by exposure to tetracycline. Metagenomic analysis reveals a community dominated by Bacillus, Meyerozyma and Talaromyces. These results indicate that consuming home fermented beverages may provide helpful probiotic bacteria but could also expose the gut microbiome to antibiotic resistance genes.

RevDate: 2025-12-22
CmpDate: 2025-12-22

Valente P, Sbrenna L, Valente F, et al (2025)

Drug-Induced Gingival Overgrowth Associated With Cyclosporine Therapy: A Case Report of a 23-Year Periodontal Follow-Up in a Heart Transplant Recipient.

Cureus, 17(11):e97019.

Drug-induced gingival overgrowth (DIGO) is a common adverse effect of cyclosporine therapy, which is widely used as an immunosuppressive agent in solid organ transplant recipients. This case report describes the 23-year follow-up of a male patient with a history of orthotopic heart transplantation, performed two years prior to his first dental visit in 2002, who developed DIGO under long-term cyclosporine therapy. At the initial periodontal evaluation, a diagnosis of localized Stage I, Grade A periodontitis associated with gingivitis was made, and nonsurgical mechanical debridement, scaling and root planing, and tailored oral hygiene instruction were provided, yielding favorable early outcomes and long-term periodontal stability. After many years of stability, the patient returned following a three-year lapse in maintenance, presenting with marked gingival enlargement, bleeding on probing, discoloration, and migration of the maxillary central incisors, consistent with progression to Stage II, Grade B periodontitis. Nonsurgical retreatment was performed, and DNA-based metagenomic analysis of subgingival plaque and tongue biofilm revealed a dysbiotic microbial profile, including the persistence of key periodontopathogenic taxa associated with tissue destruction and alveolar bone loss. This case underscores the importance of sustained periodontal maintenance in transplant recipients receiving cyclosporine therapy and illustrates that even after decades of apparent stability, DIGO and periodontal deterioration may reemerge if maintenance care is interrupted. The integration of DNA-based metagenomic analysis provided valuable diagnostic and motivational support, reinforcing a personalized, multidisciplinary approach to long-term periodontal management in immunosuppressed patients.

RevDate: 2025-12-22
CmpDate: 2025-12-22

Wang C, Wei H, Duan R, et al (2025)

Habitat Diversity Sustains Ecosystem Functioning in Plateau Arid-Region Wetlands.

Ecology and evolution, 15(12):e72747.

Plateau arid-region wetlands constitute critical ecosystems for regional ecological security, yet exhibit heightened vulnerability under multiple stressors. Current understanding of the mechanisms sustaining the functions of these systems, particularly the pivotal role of habitat diversity, remains limited. Targeting the Jinzihai Wetland (Qaidam Basin, Qinghai-Tibet Plateau), we integrated metagenomic and geochemical profiling to characterize three representative habitats: sandy meadows, peat bogs, and lake sediments. Our analyses revealed that pronounced cross-habitat physicochemical gradients drive community structure differentiation predominantly through species replacement, establishing habitat diversity as a fundamental driver of wetland biodiversity. Concurrently, community differentiation drives spatial divergence in functional gene composition, manifesting distinct functional dominance: sandy meadows govern assimilation and saline-alkaline stress response; peat bogs orchestrate nutrient enrichment and transformation; lake sediments mediate element release and burial. These functionally complementary habitats collectively catalyze biogeochemical cycling. We demonstrate that within plateau arid-region wetlands, habitat diversity stabilizes ecosystem functioning by sustaining both biodiversity and functional diversity of biogeochemical processes. Consequently, prioritizing habitat diversity conservation is imperative for safeguarding the long-term stability of these vulnerable ecosystems within management frameworks.

RevDate: 2025-12-22
CmpDate: 2025-12-22

Zhang J, Xu X, Chen L, et al (2025)

Circulating microbiome profiling in transjugular intrahepatic portosystemic shunt patients: 16S rRNA vs. shotgun sequencing.

Frontiers in medicine, 12:1662837.

BACKGROUND AND AIM: Current efforts to characterize the circulating microbiome are constrained by the lack of standardized protocols for isolating and sequencing microbial communities in blood. To address this challenge, our study compared 16S rRNA (V3-V4 region) and shotgun metagenomic sequencing for circulating microbiome detection.

MATERIALS AND METHODS: After obtaining ethics committee approval and informed consent, samples were aseptically collected from 10 patients undergoing transjugular intrahepatic portosystemic shunt (TIPS) procedures. Shotgun metagenomic reads were taxonomically classified using the Kraken2-Bracken pipeline. 16S rRNA (V3-V4) data were analyzed through an ASV-based approach, with USEARCH for denoising and VSEARCH for taxonomic annotation. The results from both sequencing methods were then systematically compared.

RESULTS: Shotgun metagenomic sequencing generated 7,024,580,376 raw reads (mean depth: 234,152,679.2 reads/sample), while 16S rRNA sequencing produced 6,612,678 raw reads (mean depth: 220,422.6 reads/sample). 16S rRNA amplicon sequencing captured a broader range of microbial signals. Although the taxonomic profiles from both sequencing methods showed limited overlap, the core microbiota common to both were still identified. These conserved core microbial communities exhibited stable α- and β-diversity indices across separate vascular compartments.

CONCLUSION: In our study, 16S rRNA amplicon sequencing captured more diverse microbial signals than shotgun metagenomics. A stable microbial community structure was observed across vascular compartments, suggesting a homogeneous microbial composition throughout the circulatory system.

RevDate: 2025-12-22
CmpDate: 2025-12-22

Li S, Tian Q, Yang X, et al (2025)

Chronic meningoencephalomyelitis caused by Nocardia nova infection: a case report and literature review.

Frontiers in medicine, 12:1680771.

A 25-year-old female zookeeper presented with 3-month history of sore throat and headache, 2-month intermittent fever, and 1-month dizziness. Neurological examination revealed bilateral nystagmus, left-sided sensory loss, ataxia, and subtle meningeal signs. Brain and cervical spinal cord MRI showed multiple enhancing lesions with central vein signs. Cerebrospinal fluid (CSF) analysis demonstrated elevated pressure (240 mmH2O) and leukocytosis (140 × 10[6]/L). Serum MOG-IgG was positive (1:32), while CSF metagenomic next-generation sequencing (mNGS) confirmed Nocardia nova infection. Initial treatment with trimethoprim-sulfamethoxazole (TMP-SMX), amikacin, and imipenem-cilastatin was followed by regimen adjustment to TMP-SMX plus minocycline at 6 weeks. One-month post-therapy, repeat CSF showed normalized pressure, reduced leukocytes, negative mNGS, and MRI evidence of lesion regression. Complete symptom resolution occurred 2 months after treatment initiation. This case exemplifies a rare presentation of N. nova-induced meningoencephalomyelitis with craniospinal involvement in an immunocompetent individual.

RevDate: 2025-12-22
CmpDate: 2025-12-22

Ma X, Zhang Q, Ji X, et al (2025)

Metagenomic Next-Generation Sequencing of Bronchoalveolar Lavage Fluids Improves Pathogen Detection and Antimicrobial Stewardship in Lower Respiratory Tract Infections: A Retrospective Study.

Infection and drug resistance, 18:6611-6632.

PURPOSE: With the advancement of metagenomic next-generation sequencing (mNGS), its role in diagnosing lower respiratory tract infections (LRTIs) has expanded rapidly. LRTIs remain a major global health burden, particularly in critically ill patients where diagnosis is challenging. Routine microbiological testing (RMT), including culture, microscopy, antigen detection, and PCR-are limited by low sensitivity, long turnaround times, and restricted pathogen coverage. This study assesses the diagnostic performance of mNGS in LRTIs, with emphasis on pathogen detection and resistance gene prediction, and compares it with traditional methods to clarify its clinical benefits and limitations.

METHODS: This retrospective study included 367 hospitalized patients with suspected LRTIs. All patients underwent mNGS testing, which was compared with traditional diagnostic methods. We also used mNGS to explore the pathogen spectrum characteristics in critically ill patients with pneumonia and evaluated its applicability in predicting antimicrobial resistance genes and adjusting antibiotic treatment.

RESULTS: For patients diagnosed with LRTIs, mNGS demonstrated superior microbial detection efficacy, particularly for bacteria and fungi, relative to culture (bacteria: 56.58% vs 17.37%, P < 0.0001; fungi: 49.65% vs 16.78%, P < 0.0001) and PCR (65.14% vs 45.14%, P < 0.05). In contrast to the non-severe pneumonia group, the detection rate of Enterococcus faecium was highest in the severe pneumonia group (P < 0.001), and the severe pneumonia group had more mixed infections (P < 0.001). In addition, mNGS showed high accuracy in predicting antibiotic resistance genes, with 90.57% agreement with antibiotic susceptibility testing (AST) results. Based on the mNGS results, 97.82% of patients underwent active adjustment to their antibiotic treatment regimen.

CONCLUSION: mNGS is an effective tool for diagnosing LRTIs, with significantly higher pathogen detection rates than traditional methods. mNGS also demonstrates high accuracy in predicting antimicrobial resistance, providing crucial support for clinical treatment decisions.

RevDate: 2025-12-22
CmpDate: 2025-12-22

Yang L, Zhang Y, Wu M, et al (2025)

Recurrent Disseminated Talaromycosis Mimicking Liver Disease in a STAT3-Mutated HIES Patient: A Case Report.

Infection and drug resistance, 18:6605-6610.

BACKGROUND: Talaromycosis is increasingly recognized in immunocompromised individuals beyond those with HIV, including patients with primary immunodeficiencies such as Hyper-IgE syndrome (HIES). However, diagnosing disseminated infection remains challenging due to nonspecific clinical manifestations and limitations of conventional diagnostic methods.

CASE PRESENTATION: We report a rare case of recurrent disseminated Talaromyces marneffei (T. marneffei) infection in a 25-year-old male with STAT3-mutated HIES. Initially presenting with abnormal liver function tests, the patient had a history of T. marneffei pulmonary infection successfully treated with itraconazole. During the current admission, he developed intermittent fever, jaundice, and splenomegaly. Initial evaluations led to a misdiagnosis of chronic drug-induced liver injury (DILI). Subsequent fever recurrence and worsening liver function prompted further investigation. Metagenomic next-generation sequencing (mNGS) and histopathology of liver revealed T. marneffei, confirming disseminated infection involving the liver. Histopathological examination of the liver showed granulomatous inflammation with IgG4-positive plasma cell infiltration, further complicating the differential diagnosis. The patient responded well to intravenous voriconazole, with significant improvement in liver function and radiological findings.

CONCLUSION: Disseminated talaromycosis should be considered in immunocompromised patients presenting with unexplained fever, hepatosplenomegaly, or organ dysfunction, even in the absence of classic symptoms. Integration of mNGS into diagnostic workflows enhances pathogen detection, and long-term antifungal prophylaxis may be necessary in patients with persistent immune deficiencies.

RevDate: 2025-12-22
CmpDate: 2025-12-22

Chattopadhyay P, Biswas I, G Banerjee (2025)

Analysing the Metagenomic Dynamics of Soil Microbiota Affected by Tea Pruning and Skiffing Methods in Tea Plantations of Dibrugarh, Assam, India.

Indian journal of microbiology, 65(4):2015-2020.

Beginning with the centralization of young tea (Yt) to encourage low branch growth, subsequent light pruning (LP) and deep skiffing (DS) techniques are employed to promote branch spread, ensuring an ideal leaf area index and manageable plucking height. This study investigates the effects of LP and DS compared to Yt on soil biota, a previously unexplored topic. Soil samples from Yt, LP, and DS sites within the Rajgarh Tea Estate in Assam, India, were analyzed for standard parameters and metagenomic DNA using Illumina sequencing. While all samples exhibited a clay loam texture with minimal parameter variation, significant variations in soil phyla abundance were observed. Acidobacteria dominated across all samples, but linear discriminant analysis revealed distinct phyla compositions. At the genus level, Geobacter, Verticiella, and Glaciihabitans were most abundant in S11, S7, and S9 samples, respectively. However, the relative abundance of phyla in the soil samples from Yt, LP, and DS sites varies significantly. But the difference in bacterial community at genus level resolution was not significant at p value 0.05 level. These findings indicate that pruning and skiffing primarily impact on the relative abundance of soil phyla, not microbial diversity. Understanding the soil microbiota in relation to tea cultivation practices through metagenomics can pave the way for developing new microbial consortia for an integrated crop management system in tea cultivation.

RevDate: 2025-12-22
CmpDate: 2025-12-22

Bao Y, Dolfing J, Chen R, et al (2025)

Phages Shape the Transformation of Organic Matter During Composting.

Microbial biotechnology, 18(12):e70291.

Microorganisms drive the biotransformation of dissolved organic matter (DOM) during organic wastes composting, yet the role of phages with different lifestyles (i.e., temperate and virulent) in this process remains poorly understood. Here, bulk metagenomic sequencing combined with electrospray ionisation (ESI) Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR MS) was used to investigate the dynamics of temperate and virulent phage communities, microbial functional traits represented by the growth yield (Y)-resource acquisition (A)-stress tolerance (S) life-history strategies (Y-A-S) framework, and molecular changes in DOM composition, as well as their potential linkages during the composting of a rice chaff and chicken manure mixture. Our results revealed that the ratio of temperate/virulent phage, microbial Y/A strategy, and microbial-/plant-derived DOM components exhibited highly consistent dynamic patterns, all peaking during mid-composting stage when temperatures are elevated and remaining low at the initial and final stages. Random forest analysis further identified the ratio of temperate/virulent phages and the microbial Y/A strategy as key predictors of the variance in microbial Y/A trade-offs and microbial-/plant-derived DOM components, accounting for 10% and 13% of the explained variance, respectively. Together, our results demonstrate that an increased prevalence of temperate phages promoted the microbial Y-strategy and the accumulation of microbial-derived DOM components, while a greater dominance of virulent phages favoured the A-strategy and plant-derived DOM enrichment. These findings offer new insights into the ecological role of phages in mediating material transformation during organic waste composting.

RevDate: 2025-12-22

Gordon ES, Goc J, Grier A, et al (2025)

Altered Gut Microbiota in Pediatric Quiescent Crohn's Disease Patients with Iron Deficiency Anemia.

Inflammatory bowel diseases pii:8385287 [Epub ahead of print].

BACKGROUND: Iron deficiency anemia (IDA) is the most common extra-intestinal complication in inflammatory bowel disease (IBD). The persistence of iron deficiency in patients living with quiescent IBD remains poorly understood. Given the extensive body of research linking IBD pathogenesis to microbiome disruptions, it is hypothesized that alterations in the microbiota or immune responses may drive the persistence of IDA in quiescent Crohn's disease. This study aimed to determine whether changes in the gut microbiota or immune phenotypes contribute to IDA, while uncovering potential mechanisms driving IDA in quiescent disease.

METHODS: This cross-sectional, descriptive, and analytical study utilized 141 samples from pediatric Crohn's disease patients with and without iron deficiency as well as healthy controls for initial 16S microbiome analysis and a smaller subset for Shotgun Metagenomics and immunologic analyses. Fecal and peripheral blood samples were obtained from the Jill Roberts Institute Live Cell Bank.

RESULTS: While no major differences were observed in the overall gut microbiome composition between pediatric patients with quiescent Crohn's disease, with or without IDA, notable shifts in specific microbial strains were identified. Specifically, levels of Anaerobutyricum soehngenii and Alistipes shahii were significantly altered. Metagenomic analysis revealed an enrichment of pathways related to short-chain fatty acid metabolism and ascorbate degradation, indicative of functional change in these microbes.

CONCLUSIONS: This is the first comprehensive microbiome analysis of quiescent pediatric Crohn's disease with concomitant IDA. The findings indicate modest but significant microbial strain-level differences and associated functional pathways, potentially implicating microbiota-mediated mechanisms in the persistence of IDA.

RevDate: 2025-12-21

Cunningham-Oakes E, Price V, Mphasa M, et al (2025)

Quantifying the bystander effect of antimicrobial use on the gut microbiome and resistome in Malawian adults.

Nature communications pii:10.1038/s41467-025-67677-6 [Epub ahead of print].

Antibiotic treatment for sepsis has an unintended yet crucial consequence: it exerts a bystander effect on the microbiome, changing its bacterial composition and resistome. Antimicrobial stewardship aims, in part, to minimise this effect to prevent development of subsequent drug-resistant infection, but data evaluating and quantifying these changes are largely lacking, especially in low-income settings which are disproportionately affected by antimicrobial resistance. Such data are critical to creating evidence-based stewardship protocols. Here, we address this data gap in Blantyre, Malawi. We use longitudinal sampling of human stool and metagenomic deep sequencing to describe microbiome composition and resistome pre-, during- and post-antimicrobial exposure. We develop Bayesian regression models to link these changes to individual antimicrobial agents. We find that ceftriaxone, in particular, exerts strong off-target effects, both increasing abundance of Enterobacterales, and the prevalence of macrolide and aminoglycoside resistance genes. Simulation from the fitted models allows exploration of different stewardship strategies and can inform practice in Malawi and elsewhere.

RevDate: 2025-12-21

Song MN, Xu HT, Liang SM, et al (2025)

Ultrasound-assisted breathing revives floated anammox granules by reconnecting intra‑granular metabolic interactions.

Bioresource technology pii:S0960-8524(25)01805-X [Epub ahead of print].

The flotation of granular sludge is a critical bottleneck hindering the application of high-load anammox process. Here, we propose and validate an "assisted breathing" strategy, using non-destructive physical treatments to rapidly restore the functionality of floated granules. A systematic comparison of pressure transient (PT), mechanical shaking (MS), and ultrasonic radiation (UR) revealed that intermittent UR treatment was uniquely effective and it propelled the nitrogen removal rate (NRR) to a remarkable 7.19 kg-N m[-3] d[-1] within 60 days, far surpassing the PT, MS, and control reactors. Mechanistic investigations revealed that the efficacy of "assisted breathing" stems from a synergistic physio-ecological cascade. Physically, ultrasonication enhanced granule permeability and mass transfer efficiency by facilitating entrapped N2 gas release. Biologically, intermittent UR treatment stimulated the production of protein-rich extracellular polymeric substances (EPS), repurposing EPS from a pore-clogging obstacle into beneficial public goods. Most critically, metagenomic analysis demonstrated that UR treatment selectively enriched key heterotrophic partners, such as Ignavibacteriaceae sp. SMN043, which formed a tight syntrophic relationship with AnAOB by providing essential metabolites like folate in exchange for amino acids. Intriguingly, this led to a 14.1 % increase in SAA. These results demonstrate that targeted physical intervention can unlock superior performance by reviving and re‑linking the metabolic networks inside anammox granules. This process effectively transforms inert, floated biomass into highly active aggregates, opening a new avenue for active ecological engineering in bioreactors.

RevDate: 2025-12-21
CmpDate: 2025-12-21

Tabuteau S, Hervé V, Irlinger F, et al (2025)

Metagenomic Profiling and Genome-Centric Analysis Reveal Iron Acquisition Systems in Cheese-Associated Bacteria and Fungi.

Environmental microbiology, 27(12):e70218.

Cheese microbial communities are composed of diverse interacting microorganisms, including both inoculated and non-inoculated strains. One limiting factor for microbial growth on cheese surfaces is iron availability. To better understand the role of iron acquisition in cheese microbial ecology, we investigated the diversity and distribution of iron uptake systems across a wide range of cheeses. We analysed 136 metagenomes and 1400 genomes and Metagenome-Assembled Genomes (MAGs) from 44 French Protected Designation of Origin (PDO) cheeses. Using an updated set of Hidden Markov Models targeting iron acquisition genes, we identified a wide diversity of iron uptake systems. Siderophore biosynthesis and import systems were more prevalent in surface-associated species than in those from the cheese core. About 20 different siderophore biosynthesis pathways were detected, with desferrioxamine and enterobactin-type being the most prevalent. Genomic analyses revealed the main bacterial and fungal producers, including Glutamicibacter, Corynebacterium, Staphylococcus, and Penicillium. While siderophore biosynthesis pathways were found in a minority of MAGs, iron/siderophore import systems were widespread, suggesting the potential for cross-feeding interactions involving siderophores. These findings enhance our understanding of microbial interactions in cheese and open perspectives for improving ripening cultures by considering iron acquisition traits.

RevDate: 2025-12-21

Xun J, Han Y, Liu B, et al (2025)

Baihua Dangen Tang inhibits the peritoneal metastasis of colon cancer by modulating the bacterial metabolite gentisic acid to suppress MDSCs.

Phytomedicine : international journal of phytotherapy and phytopharmacology, 150:157720 pii:S0944-7113(25)01354-6 [Epub ahead of print].

BACKGROUND: The treatment principle of Lingnan traditional compound Baihua Dangen Tang includes 'clearing heat and removing toxins, resolving stasis and dispersing stagnation, and dispelling wind and removing dampness', which is compatible with the pathogenesis of peritoneal cancer, which is characterized by 'dampness, heat, stasis and toxin'. Therefore, Baihua Dangen Tang may be an effective treatment for peritoneal metastasis of colon cancer.

OBJECTIVE: To systematically elucidate the effects and mechanisms of Baihua Dangen Tang in inhibiting the peritoneal metastasis of colon cancer.

METHODS: In this study, a peritoneal metastasis model of colon cancer was constructed by intraperitoneal injection of CT26/MC38 cells (1 × 10[6]) for 14 days. Abdominal circumference, ascites volume, tumor weight and Ki67 expression were analyzed. Mass spectrometry and flow cytometry were used to analyze changes in immune cells, such as MDSCs and T-cell subsets, in ascites and peripheral blood. Changes in the fecal flora and metabolites were analyzed by macrogenomic and untargeted metabolomics to screen for key differential flora metabolites. In vitro experiments were performed to determine the effects of Baihua Dangen Tang and differential flora metabolites on tumor cell migration and invasion and MDSC function.

RESULTS: In this study, we observed that Baihua Dangen Tang significantly inhibited peritoneal metastasis of colon cancer; reduced abdominal circumference, bloody ascites content, and metastatic tumor weight; and decreased metastatic tumor Ki67 expression. Analysis of ascites and peripheral blood by mass spectrometry and flow cytometry revealed that Baihua Dangen Tang increased the numbers of CD4[+] T cells and CD8[+] T cells and decreased the number of MDSCs in ascites and peripheral blood. Combined macrogenomic and metabolomic analyses revealed that the metabolite gentisic acid, which was positively correlated with Lactobacillus spp. and negatively correlated with Desulfovibrio spp., significantly changed. In vivo experiments confirmed that gentisic acid inhibited the progression of CT26 peritoneal metastases. In vitro experiments confirmed that Baihua Dangen Tang and its regulatory bacterial colony metabolite gentisic acid inhibited the migration and invasion ability of colon cancer cells and their recruitment of MDSCs, in addition to directly inhibiting the function of MDSCs, thus enhancing T-cell activity.

CONCLUSION: Baihua Dangen Tang and its microbiota-derived metabolite gentisic acid inhibit cancer cell metastasis and MDSCs function, demonstrating multitarget suppression of colorectal cancer peritoneal metastasis.

RevDate: 2025-12-21

Kruis T, Wassermann M, Graf B, et al (2025)

Unmasking the mimic: vertebral alveolar echinococcosis diagnosed by metagenomic next-generation sequencing.

Infection [Epub ahead of print].

A Siberian woman in her forties presented to a public hospital in northeastern Germany with chronic back pain and a paravertebral mass, initially misdiagnosed as spinal tuberculosis. Repeated biopsies and metagenomic next-generation sequencing (mNGS) ultimately confirmed vertebral alveolar echinococcosis. Haplotype analysis revealed a novel Asian-cluster variant, supporting the presumed origin of infection.

RevDate: 2025-12-20

Wang Y, Xu J, Liang G, et al (2025)

Gut microbiome profiling of a migratory Anser serrirostris population reveals two groups with distinct pathogen and ARG contents.

NPJ biofilms and microbiomes pii:10.1038/s41522-025-00888-3 [Epub ahead of print].

Migratory birds are key vectors of pathogens and antibiotic-resistance genes (ARGs), yet intrapopulation variation and its microbiome-mediated basis remain poorly understood. Here, we characterized the gut microbiome of 70 individuals from a migratory Anser serrirostris population using full-length 16S rDNA sequencing, followed by metagenomic analysis of 25 representative samples. Both approaches consistently identified two distinct groups (E1 and E2). Network analysis revealed impaired microbial interactions in E1 compared to E2. E1 exhibited higher abundances of opportunistic pathogens (e.g., Pseudomonas, Erwinia) and enriched functions related to pathogenicity and ARGs, predominantly driven by these taxa. Conversely, E2 showed function enrichment in short-chain fatty acid biosynthesis and plant metabolite degradation, mediated mainly by Bradyrhizobium and Ligilactobacillus. Genome-centric analysis identified several pathogenic genomes (e.g., Salmonella, Vibrio parahaemolyticus) harboring critical virulence factors and ARGs predominantly in E1. These results provide valuable insights into microbiome-driven variation in pathogen/ARG loads within migratory bird populations.

RevDate: 2025-12-20

Arnaud-Haond S, Trouche B, Liautard-Haag C, et al (2025)

Omics exploration of deep-sea biodiversity: data from the "Pourquoi Pas les Abysses?" and eDNAbyss projects.

Scientific data pii:10.1038/s41597-025-06009-1 [Epub ahead of print].

The deep-sea floor encompasses more than half of the surface of our planet, yet the extent and distribution of deep-sea biodiversity and its contribution to large biogeochemical cycles remain poorly understood. This knowledge gap stems from several factors, including sampling issues, the magnitude of the work required for morphological inventories, and the difficulty of integrating results from disparate local studies. The application of meta-omics to environmental DNA now makes it possible to assemble interoperable datasets at different spatial scales to move towards a global assessment of deep-sea biodiversity. We present a large-scale dataset on deep-sea biodiversity, with data and metadata openly accessible at ENA and Zenodo. The resource was generated using standardized protocols developed according to FAIR principles, covering fieldwork through bioinformatic analysis, within "Pourquoi Pas les Abysses?" and eDNAbyss projects. Together with information ensuring reproducibility, this dataset -combining metagenomics, metabarcoding across the Tree of Life and capture-by-hybridization- contributes to the international concerted effort to achieve a holistic view of the biodiversity in the largest biome on Earth.

RevDate: 2025-12-20

Zeng H, Xu H, Liu G, et al (2025)

Corrigendum to "Physiological and metagenomic strategies uncover the rhizosphere bacterial microbiome succession underlying three common environmental stresses in cassava" [J Hazard Mater 411 (2021) 125143].

RevDate: 2025-12-20

Gao L, Chen Y, Li S, et al (2025)

Low atmospheric pressure of plateau environments shapes microbial communities, nitrogen conversion, and carbon metabolism in biological nitrogen removal systems.

Environmental research pii:S0013-9351(25)02848-8 [Epub ahead of print].

Wastewater treatment plants in high-altitude regions often exhibit unstable nitrogen removal under low atmospheric pressure, but the coupled impacts on oxygen transfer, microbial metabolism, and community adaptation remain poorly resolved. In this study, long-term bioreactor operation under different atmospheric pressures was performed to elucidate how low pressure reshapes biological nitrogen removal systems through changes in oxygen transfer, microbial metabolism, and community structure. Low pressure reduced oxygen solubility and gas-liquid/liquid-solid transfer, which suppressed nitrification and caused nitrite accumulation, while simultaneous nitrification-denitrification partly sustained total nitrogen removal. Multi-scale analyses integrating batch tests, enzyme activities, and metagenomics showed a consistent shift from oxidative to more electron-efficient pathways, with strengthened denitrification and expanded carbon metabolism that enhanced the use of carboxylic acids and amino acids and secured carbon and electron supply. The microbial community reorganized toward denitrifying polyphosphate-accumulating organisms (DPAOs), denitrifying glycogen-accumulating organisms (DGAOs), and conventional denitrifiers, with stronger functional associations despite a simpler network structure. These findings explain performance deterioration under plateau atmospheric conditions and indicate feasible control points to sustain nitrogen removal in high-altitude wastewater treatment systems.

RevDate: 2025-12-20

Mandelbrot L, Kennedy S, Rousseau J, et al (2025)

Predicting neonatal infection in PPROM with vaginal microbiology and metagenomics: a prospective cohort study.

American journal of obstetrics and gynecology pii:S0002-9378(25)00939-1 [Epub ahead of print].

OBJECTIVE: Early-onset neonatal sepsis (EONS) due to ascending infection is a potentially preventable complication of preterm premature rupture of membranes (PPROM). Our objective was to determine whether the analysis of bacteria from vaginal swab samples is predictive of the risk of EONS in PPROM.

STUDY DESIGN: In a prospective 3-center observational cohort, patients with PPROM were enrolled between 22 and 36 weeks' gestation (WG) + 6 days. Vaginal swab samples at delivery were analyzed using two different approaches, classical bacterial cultures and shotgun metagenomic sequencing analysis. A metagenomics score was constructed combining the characterization of the vaginal microbiome and the presence of pathogens and the optimal cut-off to predict EONS was tested on a receiver operating curve.

RESULTS: 563 PPROM cases were enrolled, with 646 liveborn neonates. PPROM occurred < 32 WG in 41.9% and deliveries were < 34 WG in 41.0%. The incidence of EONS was 29/646 (4.5%). When considering all central and peripheral microbiological samples available for 26 neonates, the main pathogens isolated were Escherichia coli in 14 cases (53.8 %), other gram-negatives in 5 (19.2%), strict anaerobes in 3 (11.5%); there was a single case (3.8%) each with Group B Streptococcus (GBS), Streptococcus anginosus, Staphylococcus aureus and Ureaplasma urealyticum. We studied the prediction of EONS among 272 mothers and their 310 neonates (20 EONS, 6.4%) with both culture and metagenomic data available. A culture positive for a major or intermediate pathogen in the vaginal sample at delivery had a sensitivity of 80.0 % (95% CI=56.3-94.3) and a specificity of 37.9% (95% CI=32.3-43.8), adjusted odds ratio (aOR) of 1.6 (95 % CI [0.5-5.0]) to predict EONS. The presence of E. coli was associated with an EONS risk of 10.6% vs 4.9%, in the absence of E. coli (p=0.07). The metagenomics score was highly associated with EONS, with an area under the receiver operating curve of 0.75 (95% CI, 0.61-0.90). At the optimal cutoff value, sensitivity was 70% (95% CI, 64-95%), specificity was 85% (95% CI, 81-89%). A metagenomics score greater than 40 was associated with a significantly increased risk of EONS with an aOR of 8.9 (95 % CI [3.5; 22.3]) in multivariate analysis adjusted for latency period and gestational age, p<0.001.

CONCLUSION: In PPROM, conventional microbial culture of maternal vaginal samples was associated with EONS, but its predictive values remain insufficient to guide perinatal care. Metagenomic microbial signatures improved predictive values. This opens the perspective for a rapid point-of-care test.

RevDate: 2025-12-20

Huang P, Y Zhou (2025)

Metabolic responses of purple phototrophic bacteria to elevated hydrogen partial pressure: Metatranscriptomic insights into biohydrogen production and consumption.

Bioresource technology pii:S0960-8524(25)01798-5 [Epub ahead of print].

During biohydrogen production, self-generated gas accumulation can lead to elevated hydrogen partial pressure (HPP) in the headspace. However, the effects of elevated HPP on hydrogen yield in photo fermentation systems and the metabolic responses of phototrophic bacteria (PPB) under such conditions remain poorly understood. This study investigated the effects of elevated HPP on PPB-based biohydrogen production and examined the underlying metabolic responses using metagenomic and metatranscriptomic analysis. PPB maintained efficient H2 production (0.67 ± 0.09 L H2·g COD[-1]; 0.09 ± 0.01 L H2·L[-1]·d[-1]) until HPP reached about 30 %, after which both H2 production and growth declined. Transcriptomic results showed reduced nitrogenase and increased hydrogenase expression, disturbing electron allocation and redox balance and suppressing the tricarboxylic acid (TCA) cycle, gluconeogenesis, and photosynthesis. When HPP increased to about 40 %, H2 production stopped and shifted to H2 consumption, while alternative electron sinks such as the reverse TCA cycle and branched-chain amino acid synthesis were activated to partially restore metabolism. Upon headspace flushing, H2 production rapidly resumed, demonstrating the robustness of the PPB system to short-term HPP inhibition. This study provides practical insight for PF system operation, highlighting the importance of maintaining HPP below inhibitory threshold to sustain efficient H2 production.

RevDate: 2025-12-20

Wang J, Qian X, Li Q, et al (2025)

Bacteriocin gene-mediated ecological adaptation of Bifidobacterium breve in the adult human gut.

Cell genomics pii:S2666-979X(25)00362-3 [Epub ahead of print].

The ecological persistence of Bifidobacterium breve across life stages reflects adaptive strategies beyond the classical infant- versus adult-type dichotomy, historically attributed to differential nutrient utilization. Here, comparative genomics revealed no major differences in shared carbohydrate-related genes or accessory genome content between infant- and adult-derived strains. Instead, a distinct type III lanthipeptide bacteriocin cluster, lanKC, was specifically detected in adult-derived isolates. Functional assays combining gene knockout, in vitro co-cultivation, and human intervention demonstrated that lanKC enhances strain-level competitive fitness and promotes community stability. Phylogenetic and metagenomic analyses of 5,475 lanKC homologs and 6,122 infant gut metagenomes further suggested a possible early-life acquisition via intra-genus horizontal gene transfer. These findings uncover a previously unrecognized genetic basis underlying B. breve adaptation to the gut environment and support a multi-factorial model in which metabolic flexibility and interference competition jointly sustain bifidobacterial persistence and host-microbe symbiosis throughout life.

RevDate: 2025-12-20

Chen W, Wang X, Zhu R, et al (2025)

Integrative multi-omics reveals microbial genomic variants driving altered host-microbe interactions in autism spectrum disorder.

Cell reports. Medicine pii:S2666-3791(25)00589-0 [Epub ahead of print].

Emerging evidence links the gut microbiome to autism spectrum disorder (ASD), yet the role of microbial genomic variation remains underexplored. We generated a large-scale metagenomic and metabolomic dataset from over 1,100 children, integrating public datasets, to characterize ASD-associated microbial changes. We identified 35 species, 213 genes, 28 pathways, and 99 metabolites, alongside 1,369 single-nucleotide variants, 233 insertions/deletions, and 195 structural variants with differential abundance. Profiling of microbial genomic variation revealed 33 species and 196 enzymes lacking abundance differences, yet exhibiting significant sequence variation. Integrated analysis of microbial variants and metabolites uncovered 357 neurological associations, with mediation analysis showing that several metabolites link microbial variants to the ASD phenotype. Importantly, diagnostic models incorporating microbial variant and/or metabolite features achieved superior performance and generalizability. Our findings highlight microbial genomic variation as a critical, previously overlooked dimension of ASD-associated dysbiosis, offering valuable insights for diagnosis and mechanistic studies.

RevDate: 2025-12-20

Wang Q, Liang E, Xu J, et al (2025)

Microbial self-regulation and electron transport reconstruction under Cr(VI)-4-CP stress: From synergistic inhibition to antagonistic interaction.

Water research, 291:125138 pii:S0043-1354(25)02041-X [Epub ahead of print].

Understanding how microbial communities adapt to multi-pollutant stress is crucial for efficient denitrification. Although previous studies reported the effects of heavy metals and phenolic compounds individually or in mixtures, the deep mechanisms by which combined stressors reshape microbial electron transport and community structure remain unclear. This study explored the denitrification response to combined Cr(VI) and 4-chlorophenol (4-CP) stress, revealing a temporal shift from synergistic inhibition (acute exposure) to antagonistic interaction (long-term adaptation). Acute Cr(VI)-4-CP exposure caused complete inhibition of denitrification within 18T, accompanied by the activation of dissimilatory nitrate reduction to ammonium. Cr(VI) intracellular accumulation (71.78 %) induced oxidative imbalance and 4-CP prioritized metabolism disrupted electron donor availability, collectively causing FMN decreasing, which decreased NAR electron capture efficiency. Prolonged exposure activated microbial self-regulation (denitrification efficiency recovered to 31.42 %), including extracellular Cr(III) immobilization (84.19 %), antioxidant enzyme upregulation, reshaping oxidative-antioxidant homeostasis. Concomitantly, the electron transport was remodeled via FMN/FAD complementarity, enabling partial recovery of NAR activity and suppression of N2O accumulation. Metagenomic analysis further identified functional cooperation among Microbacterium, Thermomonas, Diaphorobacter, and Acidovorax, supporting glucose/4-CP co-metabolism (COD4CP/CODglucose=1/1.26) and stabilized denitrification performance. This study established a mechanistic framework linking microbial self-regulation and electron transport remodeling, providing new insights into the resilience of denitrifiers under multi-pollutant stress.

RevDate: 2025-12-20

Yang Z, Yang Y, Ning D, et al (2025)

Metagenomic insights into the global distribution and functional potentials of major polyphosphate-accumulating organisms (PAOs) in activated sludge wastewater treatment plants.

Water research, 291:125191 pii:S0043-1354(25)02094-9 [Epub ahead of print].

Polyphosphate accumulating organisms (PAOs) are essential for phosphorus removal in wastewater treatment plants (WWTPs); however, their global distribution patterns and potential ecological functions across diverse activated sludge systems remain poorly understood. Here, we analyzed 226 activated sludge metagenomes from 142 WWTPs across six continents, encompassing both enhanced biological phosphorus removal (EBPR) and non-EBPR processes. We reconstructed 29 near-complete PAO metagenome-assembled genomes, identifying putative members of several previously unrecognized Candidatus Accumulibacter clades. Our results revealed that Dechloromonas and Ca. Accumulibacter dominated in most WWTPs, while the former Tetrasphaera genus was prevalent in certain European samples. Furthermore, these PAOs demonstrated high metabolic versatility in carbon, nitrogen, and phosphorus cycling, though this functional potential varied significantly across genera. The link between PAOs and plant performance was process-dependent: while pollutant removal across the entire dataset showed comparable associations with both PAO abundance and the total abundance of phosphorus-cycling genes, the relationship was stronger for PAO abundance in EBPR plants. Collectively, these results represent a major expansion of the known genomic diversity of PAOs, and provide a foundational global baseline of PAO diversity that can help inform the future development of region- and process-specific optimization strategies.

RevDate: 2025-12-20

Zhou J, Yu F, Wang W, et al (2025)

Clinical metagenomics for pathogen detection in lower respiratory infections: a diagnostic study.

Diagnostic microbiology and infectious disease, 114(3):117232 pii:S0732-8893(25)00554-1 [Epub ahead of print].

BACKGROUND: Metagenomic next-generation sequencing (mNGS) enables comprehensive detection of all potential pathogens in a sample. However, its diagnostic performance in various clinical settings requires further validation through real-world data.

METHODS: This retrospective study included 186 patients from the First Affiliated Hospital of Zhejiang University School of Medicine who underwent mNGS testing on respiratory samples. We compared mNGS with traditional culture method using the same samples and also assessed its performance against conventional microbiological testing combinations (CMTs) for the same patients. Additionally, we analyzed the diagnostic performance of mNGS in different disease states (immunosuppressive status and mechanical ventilation).

RESULTS: The positivity rate of mNGS was 81.2 % (151/186). In lower respiratory tract infections (LRTIs), mNGS successfully detected 84.6 % (137/162) of bacteria, 89.0 % (65/73) of fungi, 100.0 % (72/72) of viruses, 88.9 % (16/18) of Mycobacterium tuberculosis, and 100.0 % (9/9) of non-tuberculous mycobacteria. Mixed infections were the most common infection type in LRTIs in this study (69/145, 47.6 %). The detection rate of mixed infections by mNGS was significantly higher than that of CMTs (91.3 % vs 43.5 %, P < 0.01). In the comparison based on a composite LRTI diagnostic standard, mNGS showed significantly higher sensitivity than paired culture (89.0 % vs 32.4 %, P < 0.01) and CMTs (89.0 % vs 57.2 %, P < 0.01), but lower specificity (46.3 % vs 87.8 % and 46.3 % vs 82.9 %, P < 0.01). In non-mechanically ventilated patients, mNGS maintained high sensitivity (87.0 % vs 96.7 %, P = 0.19), while culture and CMTs showed significant sensitivity decline (P < 0.01).

CONCLUSION: mNGS demonstrates superior diagnostic performance for LRTIs compared to CMTs.

RevDate: 2025-12-20

Beghini F, Brito IL, Gerstein M, et al (2025)

Characterization of gut microbiomes in rural Honduras reveals uncharacterized species and associations with human genetic variation.

Cell reports, 45(1):116724 pii:S2211-1247(25)01496-2 [Epub ahead of print].

The gut microbiome is integral to human health, yet research data to date have emphasized industrialized populations. Here, we performed large-scale shotgun metagenomic sequencing on 1,893 individuals from rural Honduras, providing the most comprehensive microbiome dataset from Central America. We identify a distinct microbial composition enriched in Prevotella species. Longitudinal analysis in 301 individuals reveals microbiome instability, with shifts in taxonomic diversity and metabolic potential, including changes associated with severe acute respiratory syndrome coronavirus 2 infection. Additionally, we characterize the gut virome and eukaryotic microbiome, identifying uncharacterized viral taxa and a high prevalence of Blastocystis species in individuals with greater microbial diversity. Finally, by integrating host genomic data, we uncover significant host-microbiome associations, highlighting the influence of human genetic variation on microbial composition. These findings expand our understanding of microbiome diversity in non-industrialized populations, underscoring the need for global microbiome research.

RevDate: 2025-12-20
CmpDate: 2025-12-20

Ngangbam AK, Nongmaithem BD, Haojam RS, et al (2025)

First functional and taxonomic insights into the microbiome of edible snail, Cipangopaludina lecythis via shotgun metagenomics.

Antonie van Leeuwenhoek, 119(1):18.

The freshwater snail Cipangopaludina lecythis holds both ecological and medicinal importance, yet its microbiome remains unexplored. This study presents the first shotgun metagenomic profiling of edible tissues of C. lecythis. Illumina HiSeq sequencing generated over 42 million high-quality reads, revealing 38 bacterial phyla dominated by Pseudomonadota (32%), followed by Bacillota and Actinomycetota. At the genus level, Pseudomonas, Klebsiella, Acinetobacter, Bacillus, Clostridium, Staphylococcus, and Streptomyces were prevalent. Functionally important genera such as Aeromonas, Vibrio, and Pseudoalteromonas which are known for their probiotic and immunomodulatory properties were also detected. The dominant species included Pseudomonas sp. REST10, Escherichia coli, Klebsiella pneumoniae, and Streptomyces sp. T12, many of which were associated with fermentation and host microbe interactions. Interestingly, the microbial profiles differed from those in marine snails, indicating environment-specific microbiome signatures. Functional annotation revealed key enzymes including 17 beta-hydroxysteroid dehydrogenase type 3 (HSD17B3) and malonyl-CoA:ACP transacylase, involved in fatty acid metabolism and energy regulation. Enzymes such as glutathione S-transferase and arylacetamide deacetylase were also detected, along with chitinase and chitin synthases, suggesting host microbe interactions in chitin metabolism. High alpha diversity showed a rich and functional microbiome. Overall, this study highlights the metabolic potential and ecological relevance of the C. lecythis microbiome, supporting its application in biotechnology and nutraceutical industry.

RevDate: 2025-12-20

Babaoğlu AS, Demirci T, Karakaya M, et al (2025)

Assessment of bacterial and fungal profiles in fermented sucuk production using high-throughput sequencing: influence of ripening conditions and starter culture addition.

Journal of the science of food and agriculture [Epub ahead of print].

BACKGROUND: This study investigated the effects of various ripening conditions and starter culture additions on the microbial composition and physicochemical properties of Turkish fermented sucuk. Ripening conditions (spontaneous, controlled, and controlled with starter culture) were evaluated using metagenomic technology. Key physicochemical properties, including moisture, pH, water activity, titratable acidity, residual nitrate, residual nitrite, and color properties, were analyzed.

RESULTS: Three groups were produced: group A (spontaneous conditions); group B (controlled conditions); and group C (controlled conditions with starter culture). Microbial and physicochemical properties were assessed at three key time points: beginning (t1 - sucuk dough), middle (t2), and end (t3) of the ripening process. Physicochemical analyses showed a decrease in moisture content (from 53-54% to 39%), an increase in acidity (from 0.59% to 1%), and a reduction in nitrate levels (especially in sucuk produced with starter cultures under controlled conditions from 65.22% to 5.97%) throughout the ripening period (P < 0.05). Microbial analyses revealed that Latilactobacillus sakei dominated the bacterial composition (57.9%) in group B, while the lowest bacterial diversity was observed in group C, and the highest diversity was in group A. The most detected fungal genus in the sucuk samples was Pichia, followed by Hanseniospora, Alternaria, Kluyveromyces, Cladosporium, and Monascus.

CONCLUSION: The ripening conditions and starter culture application significantly influenced both microbial and physicochemical characteristics of fermented sucuk. Controlled fermentation, particularly with starter cultures, resulted in reduced microbial diversity but enhanced the dominance of beneficial microorganisms. These findings contribute to optimizing sucuk production for improved safety and consistent quality. © 2025 Society of Chemical Industry.

RevDate: 2025-12-19
CmpDate: 2025-12-20

Rojas MA, Serrano G, Torres J, et al (2025)

Genome-resolved metagenomics and evolutionary analysis reveal conserved metabolic adaptations in extremophile communities from a copper mining tailing.

Environmental microbiome, 20(1):153.

BACKGROUND: Microbial communities in mining environments exhibit unique metabolic adaptations to extreme conditions, such as high metal concentrations and low pH. Their relatively low species complexity makes them an attractive model for fine-scale evolutionary analysis; nonetheless, genome-resolved metagenomic data from these environments are still scarce. Here, we employed genome-resolved metagenomics to analyze a high-quality Illumina-sequenced sample from the Cauquenes copper tailing in central Chile, one of the world's largest and oldest copper waste deposits. We aimed to uncover the taxonomic composition, metabolic potential, and evolutionary pressures shaping this extremophile community.

RESULTS: We reconstructed 44 medium- and high-quality metagenome-assembled genomes (MAGs), predominantly from the phyla Actinomycetota, Pseudomonadota, and Acidobacteriota. Taxonomic analysis revealed limited species-level classification, with only five MAGs assigned to known species, highlighting the challenges of characterizing extreme environments. Functional profiling identified enhanced metabolic capabilities in sulfur and copper pathways, critical for survival in mining ecosystems. Using evolutionary analysis on mining MAGs using dN/dS ratios, we uncoverd strong negative selection on genes involved in sulfur, copper, and iron metabolism, indicative of a conservative evolutionary state. In contrast, genes under positive selection were linked to motility, biofilm formation, and stress resistance, suggesting adaptive mechanisms for resource acquisition and survival.

CONCLUSIONS: Our study provides a metagenome-wide evolutionary analysis of mining MAGs, demonstrating that microbial communities in copper tailings are highly specialized, with conserved metabolic pathways under strong purifying selection. At the same time, the recovery of previously unclassified species of extremophiles expands the known biodiversity of mining ecosystems. These findings emphasise the challenges of leveraging these communities for biotechnological applications, such as biomining, due to their evolutionary constraints.

RevDate: 2025-12-19

Liu Y, Chen S, Li H, et al (2025)

Reconstruction of 2,965 Microbial Genomes from Mangrove Sediments across Guangxi, China.

Scientific data pii:10.1038/s41597-025-06438-y [Epub ahead of print].

Mangrove sediments, being organic-rich and anoxic, host diverse and functionally important microorganisms that play crucial roles in global biogeochemical cycling. In order to characterize this diversity at the genome-resolved level, we collected 38 sediment samples encompassing both surface (0-5 cm) and core (up to 90 cm) depths from six representative mangrove sites across Guangxi Province, China. Using a standardized pipeline for assembly, binning, and dereplication, we reconstructed 2,965 non-redundant metagenome-assembled genomes (MAGs), comprising 2,383 bacterial and 582 archaeal genomes spanning 78 microbial phyla. This dataset captures the high microbial diversity and functional potential within mangrove sediments under variable environmental conditions. It provides a valuable genomic resource for investigating the structure, metabolism, and ecological roles of sediment microbial communities in intertidal, nutrient-rich ecosystems, supporting future studies on microbial adaptation and biogeochemical cycling in global blue carbon environments.

RevDate: 2025-12-19
CmpDate: 2025-12-19

Takeda Y, Kato-Kogoe N, Sakaguchi S, et al (2025)

Characteristics of salivary IgA responses to oral microbiota in patients with oral lichen planus.

Scientific reports, 15(1):44167.

Oral lichen planus (OLP) is a chronic inflammatory disease of the oral mucosa with a risk of malignant transformation. Oral bacteria are associated with OLP development and progression; however, the immune response, especially the salivary immunoglobulin A (IgA) response to these bacteria remains poorly understood. Therefore, this study aimed to characterize the salivary microbiota in patients with OLP and evaluate the corresponding salivary IgA response. Stimulated saliva samples were collected from 21 patients with OLP and 56 control participants, and 16S rRNA metagenomic analysis was performed to characterize the composition of the microbiota. In addition, IgA-enriched and non-enriched fractions from the saliva samples were separated via magnetic-activated cell sorting, followed by 16S rRNA metagenomic analysis. To evaluate differences in IgA responses to each bacterium between the two groups, we calculated the IgA index. The diversity and bacterial composition of the salivary microbiota differed considerably between the OLP and control groups. Several bacterial genera, including Leptotrichia, Fusobacterium, and Streptococcus, showed markedly lower IgA index in the OLP group than the control group. In conclusion, patients with OLP exhibited a distinctive salivary IgA response to salivary microbiota, suggesting a potential association between OLP and this altered response.

RevDate: 2025-12-19

Gómez-Consarnau L, Hassanzadeh B, Villarreal E, et al (2025)

Unexpected microbial rhodopsin dynamics in sync with phytoplankton blooms.

Nature communications pii:10.1038/s41467-025-67474-1 [Epub ahead of print].

The surface ocean is the largest sunlit environment on Earth where marine microalgae are known as the main drivers of global productivity. However, rhodopsin phototrophs are actually the most abundant metabolic group, suggesting a major role in the biogeochemical cycles. While previous studies have shown that rhodopsin-containing bacterioplankton thrive in the most severely nutrient-depleted environments, growing evidence suggest that this type of phototrophy may also be relevant in nutrient-rich environments. To examine its role in productive waters, we investigated the monthly rhodopsin dynamics in the upwelling system of the Southern California Bight by measuring retinal-the photoreactive chromophore essential for rhodopsin function-in seawater. Unlike oligotrophic regions, rhodopsin levels peaked during the highly productive spring phytoplankton bloom, coinciding with the highest chlorophyll concentrations. Heterotrophic bacterial abundances, particularly within the order Flavobacteriales, correlated strongly with rhodopsin concentrations, allowing us to build linear models to predict rhodopsin distributions in a productive environment. Metagenomic data further showed that Flavobacteriales also dominated the rhodopsin gene pool when the highest rhodopsin levels were recorded, underscoring their key contribution to light-driven energy capture. Overall, our findings reveal that rhodopsin phototrophy plays a substantial role in productive marine systems, broadening its recognized importance far beyond oligotrophic oceans.

RevDate: 2025-12-19

Ma X, Xu Q, Wang Y, et al (2025)

Profiling of soil bio-composite pollution and driving factors in China.

Environmental research pii:S0013-9351(25)02831-2 [Epub ahead of print].

Soil biological contamination driven by antibiotic resistance poses escalating global health threats, yet national-scale assessments remain scarce. To bridge this knowledge gap, metagenomic analysis of 300 samples spanning five ecosystems (agricultural, bare land, forest, grassland, wetland) was employed to study the diversity, co-occurrence patterns, and driving factors of the soil resistome and pathogens across China. Our analyses revealed that antibiotic resistance genes (ARGs) were ubiquitously detected (23 types; 0.03-2.6 copies/cell), with multidrug (mexF, mexW), vancomycin (vanR/S), and bacitracin (bacA) resistance dominating. Eleven major mobile genetic element (MGE) types were identified, and co-occurrence network analysis confirmed robust ARG-MGE associations. Notably, 272 ARG-carrying pathogens (APs) were identified as a severe consequence mediated by bio-composite contamination, with widely distributed genera including Enterobacter, Klebsiella, Nocardia, Pseudomonas, exhibiting potential for multidrug and vancomycin resistance. AP richness peaked in agricultural soils and was lowest in bare lands. Random forest modeling and correlation analysis revealed mean annual precipitation (MAP; ρ = 0.19, P < 0.05) and grain production (GP; ρ = 0.18, P < 0.05) were weakly but significantly associated with ARG abundance, while soil pH, organic carbon and meat production governed AP richness. These findings demonstrate nationwide soil bio-composite pollution and underscore the need for prioritized interventions in high-risk ecosystems, though further mechanistic studies are required to validate the observed correlations.

RevDate: 2025-12-19

Laue HE, Kook D, Khatchikian C, et al (2025)

Early-life arsenic exposure modulates the developing microbiome in a rural cohort.

Environmental research pii:S0013-9351(25)02841-5 [Epub ahead of print].

BACKGROUND: Studies reported associations between arsenic and the infant gut microbiome measured contemporaneously. We tested the hypothesis that early-life arsenic associates with longitudinal microbiome differences and examined sex-specific effects.

METHODS: Participants provided urine and fecal samples at six weeks (6W; n=219) or twelve months (12M; n=219), a subset of whom provided samples at both (n=167). Total arsenic (tAs), inorganic arsenic, monomethylarsinic acid, and dimethylarsinic acid (DMA) were quantified in 6W and 12M urine with high-performance liquid chromatography with inductively-coupled plasma mass spectrometry. We estimated gut microbiome composition at 6W and 12M with metagenomic sequencing. Using generalized linear and mixed-effect models, we evaluated cross-sectional and longitudinal associations of arsenic concentrations with bacterial diversity and species/ gene pathway relative abundance.

RESULTS: DMA and tAs at 6W were associated with bacterial species at 6W but similar associations were not observed at 12M. At 6W, associations between arsenic and metabolic pathways tended to be sex-specific. In longitudinal analyses, tAs associated with higher Shannon diversity [β=0.07 per doubling (95%CI: 0.05, 0.09)], with a diminishing trend in this association with sampling age [β=-0.04 per doubling (95%CI: -0.07, -0.004)]. We observed a similar longitudinal pattern between at least one arsenic measure and ten bacterial species, with stronger associations among males than females.

CONCLUSIONS: We observed longitudinal and cross-sectional associations of arsenic and the gut microbiome in the first year of life. Early-life arsenic concentrations were more strongly associated with disruptions in the infant gut microbiome than later infancy, highlighting the importance of early-life exposures in microbiome dysbiosis.

RevDate: 2025-12-19

Ahmed I, Zhang D, Farooq MU, et al (2025)

Microplastics exacerbate antibiotic resistance by regulating microbial and functional gene dynamics in sludge and food waste composting.

Water research, 291:125161 pii:S0043-1354(25)02064-0 [Epub ahead of print].

The presence of antibiotic resistance genes (ARGs) and microplastics (MPs) as co-contaminants in sewage sludge possess environmental concern. Nevertheless, the effect of specific MP types on ARGs propagation and the mechanistic drivers during composting require further elucidation. This study analyzed the impact of MPs polyethylene (PE), polypropylene (PP), and their mixture (PE+PP) on the propagation of ARGs and mobile genetic elements (MGEs) during sludge composting. Results revealed that MPs significantly increased ARGs abundance, with the highest enrichment observed in PE (2.06 log-fold), followed by PP (1.74) and PE+PP (1.65), compared to control trial. MGEs also increased by up to 1.3 log-fold in MP-treated groups. MPs altered bacterial community composition, enhancing the abundance of Brevibacterium, Microbacterium, and Streptomyces. MPs exhibited a partial reduction of up to 30.2 % during composting which modified the compost's chemical properties, elevating carbon content and depleting oxygen. Metagenomic analysis revealed MPs affected microbial functional pathways, upregulating ABC transporters, two-component regulatory systems, and the conjugation gene VirD4. Functionally, MPs enhanced denitrification and dissimilatory nitrate reduction to ammonium, inhibited assimilatory nitrate reduction, and promoted inorganic nitrogen assimilation. Redundancy analysis exhibited MGEs as the primary drivers of ARGs proliferation in MP-amended compost, while temperature was dominant in the control. Network analysis identified key bacterial hosts Staphylococcus, Weissella, Lactiplantibacillus, Sphingobacterium carrying multiple ARGs and MGEs. This study highlights the potential of MPs, even at low concentrations, to promote ARG dissemination by altering microbial communities and enhancing gene transfer, offering new insights into ecological risks associated with MP-contaminated composting systems.

RevDate: 2025-12-19

Du R, Tang M, Cao S, et al (2025)

Overcoming temperature and substrate limitations of anammox via partial denitrification: Stable performance, microbial structure, and N2O mitigation.

Water research, 291:125186 pii:S0043-1354(25)02089-5 [Epub ahead of print].

The widespread application of the anaerobic ammonium oxidation (anammox) process remains constrained by its narrow substrate range (nitrite-to-ammonia ratio of 1.32), sensitivity to low temperatures, and difficulty in controlling nitrous oxide (N2O). This study demonstrated that under different substrate types and proportions (nitrate-nitrite, NOx[-]-N), the partial denitrification coupled with anammox (PD/A) process with high nitrogen load (1.35 kg N/m[3]/d) still maintained stable nitrogen removal efficiencies (83.5 %∼98.5 %), even at long-term continuous cooling (29.4∼11.6°C) and persistent low temperature (15.1∼9.6°C). In the presence of coexisting NO3[-]-N and NO2[-]-N (NO3[-]-N: NO2[-]-N of 1:1), carbon sources were preferentially utilized for the reduction of NO3[-]-N to NO2[-]-N, effectively circumventing the strict substrate dependence inherent to anammox. The stable nitrogen removal of the PD/A process at low temperatures was attributed to the low activation energy (35.1 kJ/mol) of partial denitrification and the cold-resistant granular sludge, ensuring a highly efficient supply of the essential NO2[-]-N for anammox. Cold-resistant granule sludge provided a spatial environment for the synergistic symbiosis of partial denitrification, anammox, and other heterotrophic bacteria, facilitating anammox adaptation to persistent low-temperature conditions. Metagenomic sequencing revealed a high relative abundance of Candidatus Brocadia (14.9 %) within the granular sludge, while Thauera (18.0 %) dominated the flocculent sludge at low temperatures. It further revealed the cross-feeding relationship of the bacterial community between granular and flocculent sludge. Notably, N2O emissions from the PD/A process can be effectively regulated by controlling the COD/NO3[-]-N ratio, achieving a balance between improving nitrogen removal efficiency and mitigating N2O emissions. This research provides a theoretical foundation for the stable operation and N2O control of non-specifically dependent PD/A process under long-term low-temperature conditions.

RevDate: 2025-12-19
CmpDate: 2025-12-19

Braga LPP, Wang Y, Huang Z, et al (2026)

The Contributions of Microbial Interactions to Abrupt Ecosystem Changes during the Late Quaternary.

The American naturalist, 207(1):182-195.

AbstractAbrupt ecosystem shifts during the Late Quaternary coincided with major climatic changes and intensified human activities, but the precise causes of these shifts remain debated. Here, building on previous hypotheses and work, we propose a new hypothesis that both plant beneficial and antagonistic soil microorganisms were the proximate drivers of Late Quaternary change. We synthesized evidence from paleoecological studies and contemporary ecosystems to understand how microbes and their interactions with plants shift ecosystem function. Because relevant paleoecological data are nonexistent, we reanalyzed a contemporary survey from grasslands and woodlands across Europe to test the general role of microbial diversity versus climate in controlling ecosystem function. Our models found that the richness of different microbial groups, including Proteobacteria, mycorrhizas, and plant fungal pathogens, were more strongly associated with the magnitude of direct effects on net primary productivity than temperature and precipitation. The richness of most of these groups was also influenced by climate, supporting our hypothesis that climate change may have indirectly caused past ecosystem shifts by changing microbial composition and function. We end by highlighting the potential of environmental DNA to reconstruct the biota and conditions of past ecosystems. Ultimately, improving our understanding of how microbes drove past ecosystem shifts may improve our ability to respond to future environmental changes.

RevDate: 2025-12-19

Drew G, Kraft CS, N Mehta (2025)

Fecal Microbiota Therapy: Clinical Laboratory Testing and Metabolomic Approaches for Donor Screening, Product Assessment, and Patient Monitoring.

Clinical chemistry pii:8384293 [Epub ahead of print].

BACKGROUND: The safety and efficacy of fecal microbiota transplantation for prevention of recurrent Clostridioides difficile infection relies on complex interactions between the donor and recipient microbiome.

CONTENT: Screening of donor stool has largely aimed to ensure safety; however, metagenomic and metabolic features of the stool, which may affect efficacy of the fecal microbiota transplantation (FMT), have been largely overlooked.

SUMMARY: In this review, we discuss the nascent field of metagenomic and metabolic donor and recipient characteristics that may affect efficacy of FMT and future directions for this field to allow for more precise and personalized therapies.

RevDate: 2025-12-19

Wang Y, Wan Y, Wang H, et al (2025)

Oral Supplementation of Indole-3-acetic Acid Alleviates High-Fat-Induced Obesity by Activating the Gpha2-Mediated Thyroid-Stimulating Hormone Pathway.

Journal of agricultural and food chemistry [Epub ahead of print].

Obesity is a major global public health challenge. Indole-3-acetic acid (IAA), a gut microbiota-derived tryptophan metabolite, exhibits antiobesogenic potential. In this study, we found that in high-fat-diet-induced obese mice, oral IAA supplementation dose dependently attenuated body weight gain, adiposity, hepatic steatosis, and dyslipidemia while improving insulin sensitivity. Notably, intraperitoneal administration of IAA (50 mg/kg/day) paradoxically exacerbated weight gain. Metagenomic sequencing showed that oral IAA selectively enriched beneficial genera (Ileibacterium, Anaerotignum, and Clostridium) and significantly increased short-chain fatty acid (SCFA) production, particularly acetate and butyrate. In vitro experiments in Saccharomyces cerevisiae further confirmed that IAA directly suppresses de novo fatty acid biosynthesis and triacylglycerol assembly. Mechanistically, IAA upregulated hepatic Gpha2 expression, thereby activating the TSH-THR-PGC-1α-PPARγ signaling cascade and concomitantly repressing key lipogenic genes (Fasn, Acaca, and Srebp-1c). Collectively, these findings position IAA as a promising microbiota-derived metabolite with substantial preventive and therapeutic potential for obesity and related metabolic disorders.

RevDate: 2025-12-19
CmpDate: 2025-12-19

Jun L, Wan X, Zhang D, et al (2025)

Mixed vaginal infection status in women infected with Trichomonas vaginalis: comparison of microscopy method and metagenomic sequencing analysis.

Frontiers in cellular and infection microbiology, 15:1638464.

Trichomonas vaginalis (TV) infection is a common non-viral sexually transmitted infection, often combined with mixed vaginal infections. These mixed infections worsen inflammation, disrupt vaginal microbiota, and affect treatment. Currently, TV and its mixed infections are mainly diagnosed by wet mount microscopy, which has low sensitivity and cannot identify complex microbes well. This study compared microscopy with metagenomic sequencing to explore vaginal microbiota changes and improve diagnosis of TV-related mixed infections. We enrolled 30 participants: 20 TV-infected patients (diagnosed by wet mount microscopy) and 10 healthy controls (with Lactobacillus as dominant vaginal microbiota). Then tested by Gram staining, microscopy, and metagenomic sequencing. We analyzed microbial composition and identified different abundant taxa. We also measured clinical indices (Lactobacillus grade, vaginal pH, Nugent score for BV, Donders score for AV) to assess vaginal microecology. Among 20 TV patients, microscopy and clinical criteria found a 65% mixed infection rate (13/20), including TV+AV (5 cases), TV+BV+AV (7 cases), and TV+VVC (1 case). Metagenomic sequencing showed TV patients had higher alpha diversity (Shannon index: p=0.0276) and different beta diversity (ANOSIM, r=0.21, p=0.000167) than controls. At the genus level, TV patients had more anaerobic taxa (Fannyhessea, Atopobium, Peptostreptococcus, FDR<0.05) and less Lactobacillus (FDR<0.05) than controls. All TV patients were CST IV (low Lactobacillus, high mixed bacteria), including 12 cases of CST IV-C and 7 cases of CST IV-B. Microscopy and sequencing had low diagnostic consistency in diagnosing mixed infections, especially for mixed vaginitis. TV infection causes significant vaginal microecological imbalance (less Lactobacillus, more anaerobes, high mixed infection rate). Metagenomic sequencing is better than microscopy at identifying complex microbes and low-abundance pathogens, making it more accurate for diagnosing TV-related mixed infections. These results suggest molecular diagnostic methods should be used as complementary tools for precise analysis improve TV and its mixed infection diagnosis and treatment.

RevDate: 2025-12-19
CmpDate: 2025-12-19

Zheng Y, Hou J, Yang L, et al (2025)

Cavitary pulmonary tuberculosis with Orientia tsutsugamushi coinfection in a non-endemic region: a case report.

Frontiers in medicine, 12:1692918.

INTRODUCTION: Coinfection of pulmonary tuberculosis and scrub typhus caused by Orientia tsutsugamushi is exceptionally rare. Overlapping clinical and radiologic features, together with the frequent absence of clear epidemiologic clues, complicate timely diagnosis.

CASE PRESENTATION: A 57-year-old man residing in a non-endemic region presented with a left-sided cavitary lung lesion on imaging. Computed tomography (CT)-guided percutaneous lung biopsy, acid-fast bacillus staining, and Mycobacterium tuberculosis DNA PCR established the diagnosis of active cavitary pulmonary tuberculosis. Despite initiation of a standard first-line anti-tuberculosis regimen, high-grade fever persisted. Metagenomic next-generation sequencing (mNGS) of bronchoalveolar lavage fluid (BALF) detected O. tsutsugamushi, which was subsequently confirmed by a positive IgM indirect immunofluorescence assay (IFA). Doxycycline was added, leading to defervescence within 48 h and marked symptomatic improvement. On follow-up, chest CT demonstrated lesion absorption and cavity shrinkage, while new fibrotic changes emerged. The patient was started on maintenance pirfenidone and prescribed home oxygen therapy.

CONCLUSION: In patients with pulmonary tuberculosis who exhibit persistent fever or suboptimal response despite appropriate therapy-and after excluding drug resistance-scrub typhus should be included in the differential diagnosis, even in non-endemic settings without a typical exposure history. Longitudinal imaging in this case also shows that irreversible structural remodeling may occur despite microbiologic control, underscoring the need to pair prompt pathogen-directed therapy with ongoing monitoring and early strategies to preserve lung function.

RevDate: 2025-12-19
CmpDate: 2025-12-19

Lai W, Guo J, Zhou X, et al (2025)

Co-infection in pediatric pertussis during 2023 and 2024 in southern China: pathogen distribution characteristic and influence on manifestation of pertussis.

Frontiers in microbiology, 16:1722003.

OBJECTIVE: We sought to examine the pathogen composition of co-infections in pertussis during 2023 and 2024 and assess the impacts of co-infection on pertussis.

METHODS: Clinical data of pediatric pertussis patients were retrospectively analyzed. The impact of co-infections on pertussis, the detection rate and composition of co-pathogens were analyzed. Culture, polymerase chain reaction, or metagenomic sequencing were used in pertussis or co-pathogens detection.

RESULTS: Among 620 pertussis patients, 110 patients co-infected with bacteria, 106 co-infected with virus, and 98 co-infected with both bacteria and virus. M. pneumoniae (114, 18.39%), M. catarrhalis (44, 7.1%), and H. influenzae (26, 4.19%) were the most common bacterial co-pathogens, and Rhinovirus (100, 16.12%), Cytomegalovirus (31, 5%), and Influenza virus A&B (28, 4.52%) were the most common viral co-pathogens. Patients with co-infections exhibited more severe manifestations than those with pertussis alone, and the severity was associated with the type and number of pathogens. The composition of co-pathogens linked to the age and hospitalization status of the patients. M. pneumoniae (91, 21.06%), M. catarrhalis (32, 7.41%), and Influenza virus A&B (22, 5.09%) primarily caused co-infections in older, non-hospitalized patients, whereas Cytomegalovirus [(19, 14.39%) non-ICU, (12, 21.43%) ICU] and Respiratory syncytial virus [(8, 6.06%) non-ICU, (8, 14.28%) ICU] were more common in younger, hospitalized patients.

CONCLUSION: Co-infections are common among pertussis and can intensify clinical symptoms. Distribution of co-infecting pathogens is associated with age and hospitalization status, and the impacts of co-infection on the manifestations of pertussis varied according to the types and number of co-pathogens.

RevDate: 2025-12-19
CmpDate: 2025-12-19

Bao Y, Wang T, Adina W, et al (2025)

Gut microbial signatures and cardiac-microbiota axis in Yili horses with divergent exercise-induced cardiac remodeling.

Frontiers in microbiology, 16:1689293.

This study aimed to investigate how different training outcomes affect the gut microbiota composition in racehorses. Twenty-six Yili horses underwent a 9-month conditioning training regimen under uniform husbandry and management conditions. Post-training, the horses were divided into an excellence group (D. Y group) and a general group (D. P group) based on their athletic performance, with the top 10 performers constituting the D. Y group and the bottom 10 the D. P group. Cardiac morphology and function were quantitatively assessed via echocardiography, and metagenomic sequencing was performed on fresh fecal samples. Results indicated that there were no significant differences in gut microbiota and echocardiographic parameters between the two groups prior to training. However, significant differences were observed post-training (p < 0.05). At the genus level, Parabacteroides, Bacteroides, and Prevotella exhibited significantly greater abundance n the D. Y group. LEfSe analysis showed that Prevotella was markedly enriched in the D. Y group (LDA > 4). Functional profiling indicated that multiple metabolic pathways were significantly enriched in global and overview maps, with map00534 and map00190 being particularly enriched in the D. Y group (LDA > 2). Within CAZymes genes, eight were significantly enriched in the D. Y group, including four glycoside hydrolase genes, two carbohydrate esterase genes, and two carbohydrate-binding module genes. Echocardiography revealed significant differences in seven parameters between the groups, with the D. Y group exhibiting notably higher LV_MASS_I and LVM values (p < 0.01). dbRDA analysis demonstrated a significant association between LV_MASS_I and LVM and the gut microbiota profile (p < 0.01). These findings suggest that training-induced cardiac remodeling, particularly the increase in LV_MASS_I and LVM, is closely related to alterations in gut microbiota, with Prevotella enrichment potentially serving as a marker of favorable adaptation to the training regimen. The study provides robust evidence for understanding the interaction between aerobic training, gut microbiota, and cardiac characteristics in racehorses, and highlights potential directions for optimizing athletic performance and probiotic strategies in equine athletes.

RevDate: 2025-12-19
CmpDate: 2025-12-19

Miao M, Ma C, Yang J, et al (2025)

BALF metagenomic next-generation sequencing for the diagnosis of pulmonary mycobacterial infection in persons with HIV: a retrospective, diagnostic accuracy study.

Frontiers in microbiology, 16:1689997.

Severely immunocompromised persons with HIV (PWH) are vulnerable to pulmonary mycobacterial infections (MBI), including Mycobacterium tuberculosis (MTB) and non-tuberculous mycobacteria (NTM). This study aimed to assess the effectiveness of metagenomic next-generation sequencing (mNGS) of bronchoalveolar lavage fluid (BALF) in aiding the diagnosis of pulmonary mycobacterial infections in PWH. This study encompassed 146 hospitalized PWH who had a CD4+ T cell count of less than 200 cells/μL. We employed BALF mNGS to pinpoint the causative pathogens of pulmonary infections, with particular focus on pulmonary mycobacterial infections. We evaluated the diagnostic performance of BALF mNGS, and interpreted its clinical significance in detecting mixed infections as appropriate. The median CD4+ T cell count of the participants was 22.5 (IQR: 7.0-63.0) cells/uL. BALF mNGS analysis of 146 severely immunocompromised PWH identified Mycobacterium tuberculosis (13.0%) and M. avium complex (7.5%) as the predominant mycobacterial species, with 9.3% (4/43) of mycobacterial infections showing mixed speciation including TB-NTM co-infections or interspecies NTM coinfections. Furthermore, mNGS demonstrated 78.8% sensitivity (95% CI: 62.2%-89.3%) for proven mycobacterial infections, outperforming conventional culture (68.4% vs. 42.1%, P < 0.01), though missing 7 proven MBI cases. Finally, among 158 co-detected pathogens, Pneumocystis jirovecii (67.1%) and cytomegalovirus (63.0%) were most prevalent, demonstrating co-occurrence rates of 53.5% and 55.8%, respectively in mycobacterial-infected patients. These rates were elevated to 81.2% (P. jirovecii) and 65.3% (CMV) in the subset of 101 patients with CD4+ counts <50 cells/μL. The presence of atypical clinical presentations, along with the coexistence of multiple opportunistic pathogens in BALF, complicates the management of pulmonary MBI in PWH. In this context, mNGS has emerged as a highly promising microbiological test that could revolutionize the management of pulmonary MBI in PWH.

RevDate: 2025-12-19
CmpDate: 2025-12-19

Wu H, Du X, Zheng J, et al (2025)

Top-down enrichment of oil-degrading microbial consortia reveals functional streamlining and novel degraders.

Frontiers in microbiology, 16:1656448.

INTRODUCTION: Top-down microbial enrichment is a reliable approach for understanding and designing microbiomes for crude oil remediation. Environmental variables serve as valuable determinants for selecting desired microbiomes with superior performance. However, the linkages between selection methods and the structure and function of desired microbiomes remain unclear.

METHODS: This study integrated substrate concentration gradients and cultivation patterns to investigate how selection pressures shape top-down enriched crude oil-degrading consortia. The resulting communities were analyzed using 16S rRNA gene sequencing, metagenomics, and co-occurrence network analysis. Key bacterial strains were isolated to validate their individual degradation capabilities.

RESULTS: The top-down process led to a significant reduction in phylogenetic diversity but a notable increase in the potential for xenobiotic degradation and metabolic. The final consortia, GT4, achieved a 55.72% degradation rate of crude oil at an initial concentration of 5 g/L within 7 days. Metagenomic analysis identified Microbacterium as dominant genus harboring key enzymes for the degradation of alkanes and aromatic compounds. Co-occurrence network analysis revealed Mesorhizobium as a keystone genus, showing positive associations with multiple diazotrophic bacteria and hydrocarbon degrading bacteria. Nine bacterial strains were isolated from the consortium. Among them, Microbacterium sp. WS3 and Cellulosimicrobium sp. WS9 exhibited high degradation efficiencies (57.85 and 58.60%, respectively). To the best of our knowledge, this study provides the first experimental evidence for crude oil degradation by Paracandidimonas and Caulobacter, with degradation rates of 51.19 and 40.90%, respectively.

DISCUSSION: These findings highlight the effectiveness of top-down enrichment strategy in generating functionally streamlined consortia and uncover novel oil-degrading microbes with potential for bioremediation applications.

RevDate: 2025-12-19
CmpDate: 2025-12-19

Li E, Wang S, Li Y, et al (2025)

Characterization of the gut microbiota in people with different levels of obesity.

Frontiers in microbiology, 16:1679119.

PURPOSE: With the evolution of dietary habits, obesity has emerged as a significant global health issue. Numerous studies have demonstrated a close association between obesity and gut microbiota; however, the specific contribution of gut microbiota to varying degrees of obesity remains inadequately understood. Consequently, this study aims to characterize the gut microbiota of individuals across different obesity severity levels.

METHODS: We conducted a comprehensive characterization of the gut microbiome in Chinese obese patients and a healthy control group through the application of 16S rRNA gene sequencing, supplemented by metagenomic sequencing. The study cohort was stratified into five distinct categories based on body mass index (BMI): healthy, overweight, and obesity grades I, II, and III.

RESULTS: In obese populations, the gut microbiome structure shifted significantly, with beneficial genera like Faecalibacterium, Roseburia, and Ruminococcus decreasing, and potentially harmful genera such as Blautia, Collinsella, and Streptococcus increasing. These changes impacted host metabolic pathways, including ribosome synthesis, RNA polymerase activity, and DNA repair. Clinical analyses also revealed strong links between specific genera and metabolic markers like lipid metabolism and insulin resistance.

CONCLUSION: Populations with different obesity traits show unique changes in gut flora. The level of dysbiosis, or imbalance in intestinal microbiota, rises with obesity. These microbial changes are linked to host metabolism, indicating that targeting harmful bacteria and supplementing with beneficial ones from normal-weight populations could effectively reduce obesity.

RevDate: 2025-12-19
CmpDate: 2025-12-19

Zhang M, Zhu Y, Sun Z, et al (2025)

Chemoautotrophic Thermodesulfobacteriota as a key genomic potential group in the hypoxic diazotrophic community of the Changjiang (Yangtze River) estuary.

Frontiers in microbiology, 16:1671267.

Coastal hypoxia, intensified by global warming and eutrophication, profoundly affects marine nitrogen cycling. However, its impact on diazotrophic communities in large river estuaries remains poorly understood. During an unprecedented hypoxia event (minimum dissolved oxygen at 2.70 μmol L[-1]) in August 2016 in the Changjiang Estuary, we sampled across a dissolved oxygen (DO) gradient spanning hypoxic and non-hypoxic waters. Using nifH gene amplicon sequencing, metagenomic binning, and multivariate statistical analyses, we found that higher diazotrophic biodiversity was observed in hypoxia zone, with non-cyanobacterial diazotrophs dominating the communities. The phylum Thermodesulfobacteriota (with relative abundance of 58.93% totally) exhibited significant hypoxia-specific enrichment. LEfSe analysis identified Thermodesulfobacteriota as potential hypoxia biomarkers, while network analysis revealed their keystone role, representing 68.6% of highly connected nodes. Environmental drivers, including low DO concentrations (7.50-61.88 μmol L[-1] in hypoxic vs. 66.56-255.63 μmol L[-1] in non-hypoxic zones), elevated salinity (30.67-34.50), increased dissolved reactive phosphorus (0.39-1.26 μmol L[-1]), and nitrate depletion (0.30-22.50 μmol L[-1]), collectively created favorable conditions for the development of the observed diazotrophic community under hypoxia. Metagenomic analysis revealed a hypoxia-driven increase in nifH gene abundance, with nifH-carrying metagenome-assembled genomes affiliated with Thermodesulfobacteriota showing approximately a 4.7-fold higher relative abundance in hypoxic zone compared to non-hypoxic zone. Reconstruction of metabolic pathways from metagenome-assembled genomes (MAGs) further suggested their potential involvement in both nitrogen fixation and carbon-sulfur cycling. Amplicon and metagenomic datasets consistently demonstrated Thermodesulfobacteriota's predominant in hypoxia. These findings redefine estuarine nitrogen flux models by highlighting hypoxia-driven taxonomic and functional shifts in diazotrophic communities, and provide a foundation for assessing the potential microbial resilience and ecosystem risks in expanding coastal hypoxic zones. Our study underscores the genomic potential of Thermodesulfobacteriota as key players in the nitrogen cycle under hypoxia, a hypothesis that warrants future validation through direct activity measurements.

RevDate: 2025-12-19
CmpDate: 2025-12-19

Chen X, Wang L, Li J, et al (2025)

Efficacy of Liposomal Amphotericin B in Treating Pulmonary Aspergillus flavus Infection in Nonneutropenic Adults: Cases Report and Literature Review.

Clinical case reports, 13(12):e71688.

Liposomal amphotericin B (L-AmB), as a modified formulation of traditional amphotericin B, have better targeting and lower toxicity. However, clinicians have limited experience with the use of L-AmB for the treatment of Aspergillus flavus (A. flavus) at present. We described two cases of immunocompetent adults; despite undergoing various antibacterial treatments, the symptoms were persistent. Based on the clinical characteristics and results of metagenomic next-generation sequencing and (or) pathology, pulmonary A. flavus infection was confirmed. Subsequently, L-AmB was added to the treatment. Following the initiation of antifungal therapy, the patients' symptoms and images were significantly improved. In conclusion, even in immunocompetent individuals, pathogen detection and pathological examination are crucial when treatment is not effective. In pulmonary A. flavus infection, L-AmB may deserve greater attention and confidence in clinic.

RevDate: 2025-12-19

Petrov TP, Rizzetto M, Clagnan E, et al (2025)

Trichoderma-Activated Granulated Digestate as an Alternative to Chemical Fertilization: Effects on Tomato Yield and Quality, and Soil Rhizospheric Communities.

ACS agricultural science & technology, 5(12):2383-2392.

The use of synthetic fertilizers is always more economically and environmentally unsustainable. It is necessary to improve current agricultural practices. Bioactivated fertilizers are a promising solution to enhance digestate solid fraction's fertilizing properties with an ad hoc microbial consortium and reach yields comparable to chemical fertilization (CF), thus combining circular economy with an upgraded organic agriculture. This study designed a new granulated formulation, obtained using a vacuum drying process at the industrial level, for an improved Trichoderma-activated digestate's solid fraction. This granulation aimed to improve both management operations and Trichoderma activity. After a greenhouse experimentation, yields obtained from the activated digestate (56 ± 7 g FW plant[-1]) were similar to the one obtained with CF (62 ± 9 g FW plant[-1]). Additionally, the bioactivated digestate gave yield production that were 21-30% higher yield than that of digestate alone. Microbial activation further led to higher nutritional values with an increment in the lycopene content between 8.8% and 15.8%. A metagenomic analysis further highlighted the persistence of Trichoderma in the tomato rhizosphere and its ability to establish positive interactions with other beneficial rhizospheric microorganisms. Activated digestate showed its potential to substitute CF, while granulation resulted in a functional formulation to convey this product.

RevDate: 2025-12-19
CmpDate: 2025-12-19

Macias Calix K, Borges C, do Nascimento Oliveira AL, et al (2025)

Genomic insights into ancestry and infectious disease in 17th-century colonial Brazil.

bioRxiv : the preprint server for biology pii:2025.12.10.693243.

During urban redevelopment in the historic district of a Brazilian metropolis, archaeologists uncovered a previously undocumented 17th-century cemetery, containing the closely spaced remains of over two dozen young adult males of military age. Historical records suggest the site once housed a makeshift hospital, raising questions about the origins and causes of death of those interred, particularly given the absence of skeletal evidence for violent or fatal trauma. The current study integrates bioarchaeological, historical, and genomic data to investigate the ancestry and putative disease-related mortality of nine individuals whose remains were recovered and subsequently sequenced. Population-genetic analyses revealed strong affinities with Northern European populations, particularly from Norway, Iceland, Estonia, and Czechoslovia, consistent with their likely roles as soldiers or laborers employed by the Dutch West India Company. To explore potential causes of death, we conducted a metagenomic screening with a novel pipeline optimized for degraded DNA, which revealed widespread presence of Klebsiella pneumoniae and Mycobacterium tuberculosis pathogens across all samples. Authenticity was confirmed through post-mortem damage patterns characteristic of historical samples. These findings, together with the absence of combat trauma and the collective burial context at the site, support the hypothesis of an epidemic-related mortality event. This study contributes to the growing field of historical pathogen genomics and offers a rare genomic perspective on life, mobility, and health during a period of colonial upheaval in South America.

RevDate: 2025-12-19
CmpDate: 2025-12-19

Zhang W, Zhang L, H Liu (2025)

Necrotizing enterocolitis in a neonate with severe congenital pulmonary valve stenosis complicated by a postoperative right atrial thrombus: a case report.

Frontiers in pediatrics, 13:1594899.

Congenital heart disease may increase the incidence of necrotizing enterocolitis, especially in low-birth-weight infants. We report a case of a newborn with pulmonary valve stenosis who developed neonatal necrotizing enterocolitis IIIB. The infant underwent initial cardiac surgery followed by a laparotomy. After cardiac surgery, a right atrial thrombus was found by cardiac ultrasound. Enterococcus faecium was identified using metagenomic next-generation sequencing of ascitic fluid. The infant received targeted antibiotic therapy and anticoagulant treatment and was then discharged.

RevDate: 2025-12-19
CmpDate: 2025-12-19

Bian J, Cao YN, Han YP, et al (2025)

[Screening, Identification, and Performance of Microplastic-degrading Functional Bacteria in Saline-alkali Soil Environment].

Huan jing ke xue= Huanjing kexue, 46(12):8082-8092.

The combined effects of salinization and microplastic pollution will have a detrimental impact on soil fertility and the ecological integrity of soil ecosystems. Three strains of salt-resistant microplastic-degrading functional bacteria were obtained from the soil of the Hetao irrigation area, which served as a source of inoculum. The strains were identified using metagenomics and were found to belong to the genera Agrobacterium, Aspergillus fumigatus, and Streptomyces. The strains were designated Agrobacterium_salinitolerans strain (A), Aspergillus fumigatus strain (F), and Streptomyces sudanensis strain (S), respectively. The degradation of polyethylene (PE) and polyethylene terephthalate (PET) by single and mixed bacteria was compared using the weight loss rate of microplastics as a constraint. The findings revealed that the weight loss rates of PE and PET under the combined conditions of the three strains of functional bacteria were 21.900% and 23.800% at 60 d, which was significantly better than that of single bacteria and the mixture of two strains. Based on the growth process of functional bacteria, the characteristics of key enzyme genes, and the changes of surface morphology and functional groups during the degradation of PE and PET, the mechanism of PE and PET being degraded after long-chain depolymerization, β oxidation cycle, and tricarboxylic acid cycle under the action of mixed functional bacteria was revealed. These findings provide a theoretical basis and technical support for the control of microplastic pollution in salinized soil.

RevDate: 2025-12-19

Medina-Méndez JM, Iruzubieta P, Fernández-López R, et al (2025)

Bacterial metabolic signatures in MASLD predicted through gene-centric studies in stool metagenomes.

BMC microbiology pii:10.1186/s12866-025-04549-5 [Epub ahead of print].

RevDate: 2025-12-18

McAdams Z, Gustafson K, A Ericsson (2025)

Biological and technical variability in mouse microbiota analysis and implications for sample size determination.

Lab animal [Epub ahead of print].

The gut microbiota (GM) affects host development, behavior and disease susceptibility. Biomedical research investigating GM-mediated influences on host phenotypes often involves collecting fecal samples from laboratory mice. Many environmental factors can affect the composition of the GM in mice. While efforts are made to minimize this variation, biological and technical variability exists and may influence outcomes. Here we employed a hierarchical fecal sampling strategy (that is, sequenced multiple libraries generated from multiple pellets collected from multiple mice) to quantify the effect size of biological and technical variation and to provide practical guidance for the development of microbiome studies involving laboratory mice. We found that while biological and technical sources of variation contribute significant variability to alpha- and beta-diversity outcomes, their effect size is 3-30-times lower than that of the experimental variable in the context of an experimental group with high intergroup variability. After quantifying the variability of alpha-diversity metrics at the technical and biological levels, we simulated whether sequencing multiple fecal samples from mice improves effect size in a two-group experimental design. Our simulation determined that collecting five fecal samples per mouse increased effect size, reducing the minimum number of animals per group required by 5% while dramatically increasing sequencing costs. Our data suggest that the effect size of biological and technical factors may contribute appreciable variability to an experimental paradigm with relatively low mean differences. In addition, repeated sampling improves statistical power; however, its application is probably impractical given the increased sequencing costs.

RevDate: 2025-12-18

Ikagawa Y, Okamoto S, Taniguchi K, et al (2025)

Gut microbiota-derived polyamine pathways associated with mean blood pressure.

Hypertension research : official journal of the Japanese Society of Hypertension [Epub ahead of print].

Hypertension is a common lifestyle-related disease and is influenced by various factors, including excessive salt intake. Recently, the gut microbiota (GM) has gained attention for its potential involvement in blood pressure regulation; however, polyamine metabolism involvement remains poorly understood. Sixty participants aged ≥40 years from Shika Town, Japan, were stratified into four groups (n = 15 each) based on mean blood pressure and urinary sodium chloride (u-NaCl) excretion. The clinical parameters were evaluated, and fecal samples were analyzed using shotgun metagenomic sequencing to assess the microbial composition and abundance of genes related to arginine-polyamine metabolism. Three major findings were observed: (1) Significant differences in the α-diversity of GM were observed between salt-sensitive and non-salt-sensitive hypertensive groups; (2) The abundance of spermidine synthase (EC 2.5.1.16), a key enzyme in polyamine metabolism with known antihypertensive effects, was significantly higher in normotensive individuals, independent of u-NaCl excretion; and (3) Bacterial species harboring polyamine metabolic enzyme genes, including EC 2.5.1.16, differed significantly between groups, suggesting group-specific microbial metabolic traits. These findings suggest that GM-mediated polyamine metabolism may contribute to the regulation of salt-sensitive blood pressure. While variations in spermidine-producing bacteria and the involvement of EC 2.5.1.16 were observed, these factors alone do not fully account for the intergroup differences related to salt intake. Thus, polyamine metabolism likely plays a part in salt sensitivity, but additional microbial and host factors are also involved. Further studies are needed to validate these findings and to explore microbiota-targeted strategies for the prevention and treatment of hypertension.

RevDate: 2025-12-18

Autenrieth IB, Bury L, Rooney AM, et al (2025)

Paradigms for microbiome analysis in infectious and non-communicable diseases.

Trends in microbiology pii:S0966-842X(25)00363-4 [Epub ahead of print].

Next-generation sequencing and bioinformatics paved the way in deciphering the human gut microbiome and challenged fundamental postulates on the causal role of the microbiota for health and pathogenesis of infectious and noncommunicable diseases. To exploit the clinical relevance and potential of microbiome diagnostics and therapy, deep metagenomic sequencing with standardized, validated laboratory procedures, aiming at deciphering the microbiome at strain level and applying index-scores to allow classification of individual microbiomes as dysbiotic (associated with disease) or eubiotic (associated with health) should be implemented. By this means, metagenomically informed therapies with live biotherapeutic products, fecal microbiota transfer, pro-, pre-, or postbiotics might become a standard in personalized prevention and treatment of infectious and non-communicable diseases.

RevDate: 2025-12-18

Osswald A, Wortmann E, Wylensek D, et al (2025)

Secondary bile acid production by gut bacteria promotes Western diet-associated colorectal cancer.

Gut pii:gutjnl-2024-332243 [Epub ahead of print].

BACKGROUND: Western diet and associated production of secondary bile acids (BAs) have been linked to the development of sporadic colorectal cancer (CRC). Despite observational studies showing that secondary BAs produced by 7α-dehydroxylating (7αDH+) gut bacteria are increased in CRC, a causal proof of their tumour-promoting effects is lacking.

OBJECTIVE: Investigate the causal role of BAs produced by 7αDH+ gut bacteria in CRC.

DESIGN: We performed feeding studies in a porcine model of CRC combined with multi-omics analyses and gnotobiotic mouse models colonised with 7αDH+ bacteria or a genetically modified strain to demonstrate causality.

RESULTS: Western diet exacerbated the CRC phenotype in APC [1311/+] pigs. This was accompanied by increased levels of the secondary BA deoxycholic acid (DCA) and higher colonic epithelial cell proliferation. The latter was counteracted by the BA-scavenging drug colestyramine. Metagenomic analysis across multiple human cohorts revealed higher occurrence of bai (BA inducible) operons from Clostridium scindens and close relatives in faeces of patients with CRC. Addition of these specific 7αDH+ bacteria (C. scindens/Extibacter muris) to defined communities of gut bacteria led to DCA production and increased colon tumour burden in mouse models of chemically or genetically induced CRC. A mutant strain of Faecalicatena contorta lacking 7αDH caused fewer colonic tumours in azoxymethane/dextran sodium sulfate treated mice and triggered less epithelial cell proliferation in human colon organoids compared with wild-type F. contorta.

CONCLUSION: This work provides functional evidence for the causal role of secondary BAs produced by gut bacteria through 7αDH in CRC under adverse dietary conditions, opening avenues for future preventive strategies.

RevDate: 2025-12-18
CmpDate: 2025-12-18

Li W, Chen J, Zhang J, et al (2026)

Multi-omics insights into the formation mechanism of aging quality in white tea (Bai Mudan) during storage: Integrating sensory evaluation, volatilomics, metabolomics, and metagenomics.

Food research international (Ottawa, Ont.), 224:117996.

White tea (WT) develops unique aged quality during long-term storage, characterized by progressive changes in sensory properties and chemical composition. However, integrated insights into the sensory, metabolites, and microbial contribution underlying this process remain limited. This study systematically investigated the quality evolution of Bai Mudan tea (a typical WT) over 0 to 11 years of storage using an integrated multi-omics approach. Sensory analysis revealed a flavor transition from fresh (grassy, fruity) to aged (woody, stale) characteristics. Volatilomics identified 72 volatile compounds, with cedrol and isophorone as aged characteristic aroma compounds (rOAV ≥1, VIP ≥ 1, p ≤ 0.05). Metabolomics identified 1146 non-volatile metabolites, showing accumulation of fatty acyls and flavonoids, and a decrease in amino acids. Metagenomic sequencing analysis revealed that bacterial communities (mainly Sphingomonas, Pedobacter, Methylobacterium, and Chryseobacterium) dominated during the first 7 years of storage, followed by a potential shift toward a bacterial-fungal synergy pattern in later stages as the abundances of Monascus and Aspergillus increased. KEGG annotation highlighted the roles of carbohydrate metabolism and amino acid metabolism, and flavonoid biosynthesis was activated during storage. Multi-omics correlation networks demonstrated that fungi positively regulated volatile flavors, while bacteria may be involved in taste balance. Monascus, Sphingomonas, Sphingobium, and Novosphingobium were identified as core functional taxa that may contribute to WT quality formation during storage through aged flavor synthesis, flavonoid accumulation, and lipid degradation. In conclusion, this study provides a multi-dimensional scientific basis for a comprehensive understanding of the formation mechanism of aged quality in white tea during storage.

RevDate: 2025-12-18
CmpDate: 2025-12-18

Chen T, Mo S, Shen M, et al (2026)

Therapeutic potential of Ficus pumila L. in chronic obstructive pulmonary disease through modulation of the gut microbiota-SCFA-lung signaling pathway.

Food research international (Ottawa, Ont.), 224:117952.

Ficus pumila L. has been reported to alleviate pulmonary inflammation, its impact on chronic obstructive pulmonary disease (COPD) pathobiology-specifically via modulation of the gut-lung signaling pathway-has yet to be mechanistically defined. This study investigated how Ficus pumila L. polysaccharides (FP-P) and aqueous extracts (FP-E) remodel the gut microbiome-SCFA network and restore microbial metabolic function in a cigarette smoke-induced COPD mouse model. Microbiota composition was profiled by high-resolution 16S rRNA amplicon sequence variant (ASV) analysis, with concomitant quantification of caecal SCFA using targeted gas chromatography-mass spectrometry (GC-MS) and inference of metagenome function by PICRUSt2. Results demonstrated that FP-P and FP-E alleviated pulmonary pathology, reduced inflammatory cytokine secretion, and significantly restored gut microbiota α-diversity in COPD mice. At the family level, FP-P selectively expanded SCFA-producing Clostridiaceae, and Staphylococcaceae, whereas it contracted pro-inflammatory Helicobacteraceae and Campylobacteraceae. Caecal total SCFA concentration increased by 41.90 %, driven primarily by elevations in butyrate (+23.41 %) and propionate (+45.45 %), without significant changes in acetate. PICRUSt2-inferred metagenomes showed up-regulation of butanoate biosynthesis (PWY-5677), metabolism of cofactors and amino acid (P162-PWY and NAD-BIOSYNTHESIS-II), and carbohydrate degradation (P341-PWY), all of which underpin SCFA production. These functional shifts were accompanied by increased abundance of microbial genes encoding ribosomal proteins and ATP-binding cassette transporters, indicating barrier reinforcement. Collectively, FP-P and FP-E mitigate CS-induced COPD pathology through a gut microbiota-SCFA-lung signaling signaling pathway, highlighting the gut-to-lung communication within the broader gut-lung axis. These findings establish a mechanistic link between microbial metabolism and pulmonary inflammation while acknowledging that the reverse lung-to-gut feedback remains to be elucidated. Future studies will investigate this bidirectional crosstalk and the receptor-mediated signaling of SCFAs in lung tissue.

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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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Although we can't usually see them, microbes are essential for every part of human life—indeed all life on Earth. The emerging field of metagenomics offers a new way of exploring the microbial world that will transform modern microbiology and lead to practical applications in medicine, agriculture, alternative energy, environmental remediation, and many others areas. Metagenomics allows researchers to look at the genomes of all of the microbes in an environment at once, providing a "meta" view of the whole microbial community and the complex interactions within it. It's a quantum leap beyond traditional research techniques that rely on studying—one at a time—the few microbes that can be grown in the laboratory. At the request of the National Science Foundation, five Institutes of the National Institutes of Health, and the Department of Energy, the National Research Council organized a committee to address the current state of metagenomics and identify obstacles current researchers are facing in order to determine how to best support the field and encourage its success. The New Science of Metagenomics recommends the establishment of a "Global Metagenomics Initiative" comprising a small number of large-scale metagenomics projects as well as many medium- and small-scale projects to advance the technology and develop the standard practices needed to advance the field. The report also addresses database needs, methodological challenges, and the importance of interdisciplinary collaboration in supporting this new field.

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Collection of publications by R J Robbins

Reprints and preprints of publications, slide presentations, instructional materials, and data compilations written or prepared by Robert Robbins. Most papers deal with computational biology, genome informatics, using information technology to support biomedical research, and related matters.

Research Gate page for R J Robbins

ResearchGate is a social networking site for scientists and researchers to share papers, ask and answer questions, and find collaborators. According to a study by Nature and an article in Times Higher Education , it is the largest academic social network in terms of active users.

Curriculum Vitae for R J Robbins

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Curriculum Vitae for R J Robbins

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