@article {pmid41968748,
year = {2026},
author = {Hilpert, K},
title = {Peptidomics: A New Dimension in Microbiome Research.},
journal = {Protein and peptide letters},
volume = {},
number = {},
pages = {},
doi = {10.2174/0109298665436241260327111926},
pmid = {41968748},
issn = {1875-5305},
abstract = {The human gut microbiome is now recognised as a major determinant of health, with roles extending beyond digestion to influence neurodegeneration, metabolism, immunity, and pharmacological responses. Clinical studies link microbial imbalances to Alzheimer's disease, Parkinson's disease, depression, and cardiovascular disorders, yet the underlying mechanisms remain only partly understood. Methodological advances have progressively deepened our insight. DNA-based sequencing (metagenomics) catalogues microbial genes but reveals only potential functions. RNA-based sequencing (metatranscriptomics) highlights active gene expression, but instability of transcripts and poor correlation with protein activity limit its predictive value. Metabolomics measures small-molecule end products, providing direct evidence of microbial biochemistry and identifying disease-linked metabolites such as urolithin A, trimethylamine N-oxide, and equol. These approaches together have transformed microbiome science, but they remain incomplete. A critical and underutilised dimension is peptidomics: the systematic analysis of endogenous peptides in the gut and circulation. Enabled by peptide-enriching, protease-inhibiting workflows and high-resolution liquid chromatography-tandem mass spectrometry (LC-MS/MS), peptidomics directly captures unstable signaling peptides and proteolytic fragments that are often invisible to conventional proteomics. Coupled with emerging gut-specific peptide databases, such as MetaPep, and Artificial Intelligence (AI) assisted de novo sequencing and spectral prediction for non-human peptides, this provides a concrete technical route to reading out the functional peptide layer of the microbiome. Peptidomics can capture functional signals of host-microbiome interaction, reveal context-specific biomarkers, and provide mechanistic insight into disease. Recent studies demonstrate that peptide-level resolution uncovers microbial contributions to gut inflammation, modulates the gut-brain axis, and enables peptide-based disease stratification in conditions such as inflammatory bowel disease. However, despite these promising examples, peptidomics remains largely absent from mainstream microbiome research, which needs to be changed. Integrating peptidomics with existing genomic, transcriptomic, and metabolomic approaches will generate a more complete and functional picture of the microbiome. This shift will accelerate biomarker discovery, refine diagnostics, and expand the search for peptide-based therapeutics, positioning peptidomics as an essential next step in microbiome science.},
}

@article {pmid41969349,
year = {2026},
author = {Cheng, L and Wang, J and Sun, J and Xu, S and Zhao, G and Li, M},
title = {Integrated multi-omics of the ruminal microbiome and host metabolome reveals compensatory growth in response to dietary energy restriction and re-alimentation in growing beef bulls.},
journal = {Animal nutrition (Zhongguo xu mu shou yi xue hui)},
volume = {25},
number = {},
pages = {265-281},
pmid = {41969349},
issn = {2405-6383},
abstract = {Understanding the mechanisms of dietary energy on compensatory growth in beef cattle is crucial for improving feed efficiency and mitigating the environmental footprint of beef production. The objectives of the study were to investigate the effects of dietary energy restriction and subsequent re-alimentation on growth performance, nutrient digestibility, ruminal microbiome, plasma metabolites, and nitrogen metabolism in growing beef bulls. Twelve 6-8-month-old Simmental crossbred bulls (initial body weight: 226 ± 24 kg) were randomly allocated to two groups (n = 6 per group): the dietary energy restriction group (REC) was fed a diet containing 9.25 MJ/kg metabolizable energy (ME) for 4 weeks (energy restriction period), followed by a 2-week re-alimentation period with a 10.29 MJ/kg ME diet, while the control group (CON) was fed the 10.29 MJ/kg ME diet consistently throughout the experimental period. Dietary energy restriction significantly decreased body weight and average daily gain (ADG) compared to CON (P < 0.05). However, no significant differences were observed by the end of the re-alimentation period (P > 0.05), demonstrating successful compensatory growth through dietary energy modulation. Ruminal propionate, total volatile fatty acids, ammonium nitrogen, and microbial crude protein (MCP) concentrations significantly decreased in the energy restriction treatment compared to CON (P < 0.05), but MCP exceeded the levels in CON after dietary energy re-alimentation (P < 0.05). Energy restriction also significantly increased urinary nitrogen excretion (P = 0.002), driven by imbalanced amino acid metabolism and significantly increased urinary urea (P = 0.038), which significantly reduced protein synthesis and nitrogen retention (P = 0.017). Metagenomics analysis revealed that energy restriction significantly increased the relative abundances of Limosilactobacillus, Enterococcus, and Aliarcobacter (P < 0.05), while decreasing those of Gemmatirosa and Mesorhizobium (P < 0.05). Dietary energy re-alimentation significantly increased the relative abundance of Gramella, Acetobacter, Phaeobacter, and Flammeovirga (P < 0.05). These bacteria are associated with pathways related to amination, transamination, and microbial protein synthesis. Integrated multi-omics revealed shifts in the ruminal microbiome and host metabolome, particularly in pathways related to ruminal urea hydrolysis, biosynthesis of glutamate, glutamine, and alanine, and post-absorptive amino acid metabolism, which collectively enhanced protein synthesis and compensatory growth. These findings establish a practical feeding strategy to optimize feed efficiency and enhance compensatory growth in beef bulls via short-term dietary energy manipulation.},
}

@article {pmid41969354,
year = {2026},
author = {Dayan, J and De Cesare, A and Soglia, F and Zampiga, M and Indio, V and Antenucci, EL and Petracci, M and Sirri, F},
title = {Nutritional alternatives to commercial lipid sources: Impact of the dietary inclusion of black soldier fly (Hermetia illucens) larvae oil on broiler chicken productivity, breast meat quality traits and caeca microbiome.},
journal = {Animal nutrition (Zhongguo xu mu shou yi xue hui)},
volume = {25},
number = {},
pages = {255-264},
pmid = {41969354},
issn = {2405-6383},
abstract = {Protein production from poultry, particularly broiler chickens, is considered a key component of future global food security, due to its relatively high sustainability. However, the use of resources such as soybean oil remains a concern. Black soldier fly (Hermetia illucens [HI]) larvae oil represents a promising alternative due to a relatively rapid rearing cycle and ability to utilize organic waste as growth substrates. This study investigated how replacing a commercial lipid source such as soybean oil, with HI larvae oil affects broiler growth performance, meat quality traits, fatty acid (FA) profile, and caeca microbiome. A total of 552 one-d-old male Ross 308 broilers, with equal initial weights (48.89 ± 0.18 g; P = 0.597), were allocated to three dietary treatments with 8 replicate pens per group (23 birds/pen). All birds received the same commercial basal diet, formulated to be isoenergetic and with the same amino acid profile, differing only in the source of the supplemented oil: 100% soybean oil group (CON), 50% soybean oil + 50% HI larvae oil group (MIX), or 100% HI larvae oil group (HIO). Growth performance parameters were recorded at the end of each feeding phase (14, 28, and 42 d). At slaughter (42 d), 10 breasts (pectoralis-major muscle) and thighs (extensor-iliotibialis muscle) samples per group were collected for meat quality assessment, and caecal content samples were obtained from 8 birds/group for microbiome analysis. Growth performance metrics showed an improvement in feed conversion ratio during the starter phase for HI larvae oil-fed groups (1.54 vs. 1.45 vs. 1.46 for CON, MIX, and HIO, respectively; P < 0.001) and comparable performance across the trial. Meat quality traits remained within commercially acceptable ranges, with minimal effects observed, apart from variations in breast fillet redness and thigh protein oxidation. FA analysis indicated higher levels of saturated FAs in the HI groups, with a concurrent reduction in omega (n)-6 levels and a more balanced n-6 to n-3 ratio (16.47 vs. 15.18 vs. 11.60 for CON, MIX, and HIO, respectively; P < 0.001). The caecal microbiome revealed stable diversity across groups, with only minor shifts in relative abundance. Overall, the findings showed that HI larvae oil is an effective alternative to conventional vegetable lipid sources in poultry nutrition, with added potential to enhance growth performance during the early growth stages.},
}

@article {pmid41969371,
year = {2026},
author = {Ramos Peña, DE and Boussetta-Charfi, O and Antezack, A and Amroune, N and Colson, P and Monnet-Corti, V and Saia, RS and Guillemot, J and Pozzetto, B and Pillet, S and La Scola, B and Bourlet, T and Fragoso Motta, AC},
title = {Interplay Between Oral Microbiota and Mouth Health in People Living With HIV Under Antiretroviral Therapy With or Without Periodontitis.},
journal = {International journal of dentistry},
volume = {2026},
number = {},
pages = {8794149},
pmid = {41969371},
issn = {1687-8728},
abstract = {People living with HIV (PLWH) in combined antiretroviral therapy (cART) face microbiota shifts linked to immune status, ART regimen, and periodontal diseases, which are capable of inducing local and systemic inflammation. This study aimed to analyze the oral microbial community composition in PLWH under cART with (n = 24) or without (n = 25) periodontitis using shotgun metagenomic sequence analysis, and describe the interaction between bacterial species, clinical and immunological parameters, and the response to nonsurgical periodontal therapy (NSPT). Saliva samples were collected at baseline for both groups, and 30 days after NSPT for the periodontitis group. Within the periodontitis group, all periodontal parameters presented highly significant improvement after NSPT when compared to baseline. The gingival microbiota did not differ significantly between patients with periodontitis and controls; however, a wider range of bacterial species was found in the microbiota of the periodontitis group compared to the control group, while post-treatment the periodontitis group presented an alpha diversity intermediate between the two former groups. Regarding the distribution of the different bacterial species, Porphyromonas gingivalis was found significantly enriched in the periodontitis group, along with different Treponema sp., Fretibacterium fastidiosum, Campylobacter rectus, Bacteroides zoogleoformans, Tannerella forsythia, and Porphyromonas endodontalis. Correlations between seven inflammatory markers and seven periodontitis-related bacterial taxa were found for saliva in the group of periodontitis patients, which was not the case in controls; interestingly, the profiles after NSPT showed intermediate results. By contrast to saliva, the inflammatory markers of periodontitis patients showed no marked differences in blood plasma, except for TNF-alpha and partly IL-4. In view of the fact that oral microbial imbalance may contribute not only to local disease but also to systemic immune activation in the course of HIV-1 infection, reinforcing the importance of maintaining periodontal health represents a part not to be neglected for an optimal management of PLWH.},
}

@article {pmid41969565,
year = {2026},
author = {Kavagutti, VS and Beavogui, A and Wiart, N and Wincker, P and Oliveira, PH},
title = {Defensomes, counter-defensomes, and the remodeling of microbial communities.},
journal = {PNAS nexus},
volume = {5},
number = {4},
pages = {pgag073},
pmid = {41969565},
issn = {2752-6542},
abstract = {Bacteria and mobile genetic elements (MGEs) have coevolved for billions of years in an enduring evolutionary arms race, leading to the emergence and diversification of a vast arsenal of defense and counter-defense systems. In the last recent years, high-throughput screening methods and genome-resolved metagenomics have markedly enhanced our understanding of the diversity and abundance of immune systems across cultured and uncultured microorganisms. This fueled subsequent interest in better understanding the dynamic tri-kingdom interplay between bacteria, bacteriophages, and eukaryotic cells, and led to renewed efforts to improve alternative antibacterial phage-based therapies. Here, we discuss the evolutionary and ecological dynamics underlying the bacteria-MGE arms race, recent findings on bacterial defensomes, MGE counter-defensomes, holodefensomes, and their key role in the development of microbiome-targeted therapies. To this end, we argue why and how highly conserved anti-MGE defense systems should be prioritized as promising targets for the development of next-generation bacterial inhibitors with broad biomedical relevance, supported by a comprehensive analysis of their distribution and diversity across bacteria.},
}

@article {pmid41969652,
year = {2026},
author = {Zhang, H and Zhang, L and Yang, B and Gao, C and Liu, H and Zhang, Y and Chen, X},
title = {Correction: Metagenomic and metatranscriptomic profiling of bronchoalveolar lavage fluid identifies microbial and host biomarkers of drug-resistant tuberculosis.},
journal = {Frontiers in cellular and infection microbiology},
volume = {16},
number = {},
pages = {1826950},
doi = {10.3389/fcimb.2026.1826950},
pmid = {41969652},
issn = {2235-2988},
abstract = {[This corrects the article DOI: 10.3389/fcimb.2025.1726935.].},
}

@article {pmid41969653,
year = {2026},
author = {Dai, Z and Hu, Y and Tai, A and Lu, Y and Hu, S and Pan, J and Xiao, Y and Ma, X and Fu, Q and Zhao, H and Su, Z and Tong, P and Hao, Z and Yao, G and Wang, J},
title = {Characterization of a Klebsiella pneumoniae mutant strain wGF 1-2 with attenuated virulence, altered morphology, and reduced biofilm formation.},
journal = {Frontiers in cellular and infection microbiology},
volume = {16},
number = {},
pages = {1761564},
pmid = {41969653},
issn = {2235-2988},
mesh = {*Klebsiella pneumoniae/genetics/pathogenicity/virology/physiology ; *Biofilms/growth & development ; Animals ; Mice ; Virulence ; Klebsiella Infections/microbiology/pathology ; Disease Models, Animal ; Mutation ; Proteomics ; Host-Pathogen Interactions ; Bacteriophages ; Gene Expression Profiling ; Gastrointestinal Microbiome ; Female ; Metagenomics ; },
abstract = {INTRODUCTION: The global rise of antimicrobial resistance has positioned multidrug-resistant Klebsiella pneumoniae as a critical health threat, necessitating alternative therapeutic strategies such as phage therapy. However, the long-term evolutionary consequences of phage-bacteria interactions remain poorly understood. This study characterizes a unique attenuated mutant, wGF 1-2, derived from a hypervirulent K. pneumoniae strain (GF) during phage isolation efforts.

METHODS: The wGF 1-2 mutant was serendipitously isolated during attempts to obtain lytic phages against the parental GF strain. We performed an integrated multi-omics and phenotypic characterization, including genomic sequencing, proteomic profiling, and transcriptomic analysis. Host-pathogen interactions were assessed using a murine infection model (evaluating survival and tissue colonization), and the impact on the gut microbiota was analyzed via metagenomics.

RESULTS: Compared to the parental strain, wGF 1-2 exhibited a significant reduction in biofilm formation and distinct morphological alterations. In a murine model, the mutant was avirulent, resulting in 100% survival even at a high challenge dose (10⁶ CFU), with minimal tissue colonization. Multi-omics analysis revealed extensive genomic structural variations (81 insertions and 64 deletions). Proteomic shifts included the downregulation of proteins involved in metal ion binding and metabolic pathways. Furthermore, infection with wGF 1-2 led to host inflammatory suppression and a restructuring of the gut microbiota characterized by an increase in beneficial Bacteroidota.

DISCUSSION: This study provides a comprehensive characterization of an attenuated K. pneumoniae mutant, wGF 1-2. The extensive genomic and phenotypic alterations observed highlight the significant evolutionary potential of bacterial pathogens during phage interactions. These findings underscore the necessity of thorough safety assessments, including evolutionary risk evaluations, for the future development of phage-based therapies.},
}

*Klebsiella pneumoniae/genetics/pathogenicity/virology/physiology
*Biofilms/growth & development
Animals
Mice
Virulence
Klebsiella Infections/microbiology/pathology
Disease Models, Animal
Mutation
Proteomics
Host-Pathogen Interactions
Bacteriophages
Gene Expression Profiling
Gastrointestinal Microbiome
Female
Metagenomics

@article {pmid41970373,
year = {2026},
author = {Duan, Y and Wang, L and Cui, H and Fang, Z and Lu, Y and Sun, Z},
title = {The effect of elastic-band resistance training on fecal microbiota and derived metabolites of aged individuals with possible sarcopenia.},
journal = {Frontiers in medicine},
volume = {13},
number = {},
pages = {1762454},
pmid = {41970373},
issn = {2296-858X},
abstract = {BACKGROUND: Individuals with possible sarcopenia exhibit altered microbiota profiles and poor intestinal metabolism. Exercise training is linked to changes in gut microbiota and has been proposed to enhance the quality of aging skeletal muscle.

AIMS: In older adults with possible sarcopenia, the study aimed to determine if elastic-band resistance training modulates gut microbiota and its generated metabolites and investigate the underlying relationships with physical function.

METHODS: Thirty-one volunteers with possible sarcopenia were randomly assigned to either the control group (CG, n = 17) or the intervention group (RG, n = 14), which underwent 24 weeks of elastic-band resistance training. Physical function, body composition, and blood and fecal samples were collected from each patient at baseline and 24 weeks. Enzyme-linked immunosorbent assay (ELISA) was used to evaluate protein metabolism regulatory factors, targeted metabolomics was used to quantify short-chain fatty acid (SCFA) levels, and metagenomic sequencing was used to analyze the composition of the fecal microbiota.

RESULTS: The gait speed (GS), arm curl test (ACT), 2-min step test (2MST), and timed up-and-go test (TUGT) all showed notable improvements in the RG. The RG also showed lower serum levels of tumor necrosis factor-α (TNF-α) and higher plasma concentrations of acetate and propionate. Following the intervention, the RG displayed decreased abundances of Eisenbergiella and Eggerthella and increased abundances of the genus Bacillus. Eggerthella abundance was inversely connected with 2MST performance, whereas the change in propionate level was positively correlated with 2MST, TUGT, GS, and appendicular skeletal muscle index (ASMI).

CONCLUSION: The elastic-band resistance training effectively improved physical function, modulates gut microbiota and SCFAs. The results revealed the physiological mechanisms by which gut microbiota and SCFAs regulate aging muscle health, providing scientific support for possible sarcopenia prevention and treatment via gut-muscle axis bidirectional crosstalk.

CLINICAL TRIAL REGISTRATION: https://www.chictr.org.cn/index.html.},
}

@article {pmid41971320,
year = {2026},
author = {Wu, Y and Deng, L and He, X and Zhou, D and Ling, S and He, M and Wang, Q and Wang, C and Wang, M and Wu, H and Li, L and Li, D and Yun, L},
title = {Intestinal microbiome gone native: gut microbiome shift and resistome diversity in first homecoming giant panda family.},
journal = {Frontiers in microbiology},
volume = {17},
number = {},
pages = {1737792},
pmid = {41971320},
issn = {1664-302X},
abstract = {INTRODUCTION: The world-famous giant pandas (Ailuropoda melanoleuca) often travel abroad for public exhibitions and international scientific cooperations. Previous research has reported alternations in the gut microbiome structure and enrichment of gut antibiotic-resistant genes (ARGs) in human international travelers, the latter of which is harmful to native residents and the environment. The microbiome and ARGs of these animal travelers, however, have not yet been investigated, even though they often interact with local keepers, visitors, and other pandas.

METHODS: In this study, we have clarified the dynamic microbiome composition and snapshot of ARGs (resistome) of the first panda family returning from overseas. Fecal samples were gathered for high-throughput sequencing for both amplicon and metagenomics sequencing, which were collected on the first day of their quarantine (Admission stage) and 3 days after the quarantine (Release stage). Feces from two native captive pandas were used as controls.

RESULTS AND DISCUSSION: The predominant Escherichia-Shigella proportion in the mother and father pandas decreased from 79.02 and 47.46% to 57.03 and 33.77%, while the Streptococcus abundance increased from 0.27 and 12.44% to 29.47 and 54.59%. The main genus of child pandas, Weissella, decreased from 45.24 to 0.02% after quarantine, and the Streptococcus ratio increased from 11.89 to 43.82%. Significant richness and bacterial diversities were found in these samples. The main ARG types are multidrug and polymyxin; the latter being an uncommon ARG in native pandas. Consequently, to protect local ecosystems from the introduction of novel ARGs, waste from translocated giant pandas should be managed under strict biosecurity protocols.},
}

@article {pmid41971325,
year = {2026},
author = {Qi, L and Kang, H and Li, X and Wang, L and Lin, Y and Zhan, M and Zeng, F and Xiao, Z and Liu, X and Chen, Z and Liu, L},
title = {Multi-omics profiling implicates gut microbiota-sphingolipid interplay in the neuroprotective effects of semaglutide on diabetic cognitive impairment.},
journal = {Frontiers in microbiology},
volume = {17},
number = {},
pages = {1705784},
pmid = {41971325},
issn = {1664-302X},
abstract = {BACKGROUND: The gut microbiome is a critical regulator of host health, but how it mediates the therapeutic effects of drugs targeting neurodegenerative diseases like diabetic cognitive impairment (DCI) is unclear. Here, we investigated whether the neuroprotective effects of the GLP-1 agonist semaglutide (SE) are linked to its modulation of the gut-brain axis.

METHODS: We used an integrative multi-omics approach in a mouse model of DCI. We combined fecal shotgun metagenomics and targeted bile acid profiling with cerebral proteomics and metabolomics to characterize the gut-brain crosstalk following a 12-week SE treatment. Animal behavior, neuronal survival and synaptic integrity were assessed to confirm therapeutic efficacy.

RESULTS: SE treatment reversed cognitive deficits, rescued hippocampal neuronal loss, and restored synaptic integrity in diabetic mice. At the ecosystem level, metagenomics revealed that SE treatment profoundly remodeled the gut microbiota, enhancing microbial α-diversity, enriched beneficial genera (Bacteroides, Barnesiella), and depleted the pro-inflammatory genus Desulfovibrio. This microbial shift was associated with normalized fecal and cerebral bile acid profiles. Mechanistically, our analysis implicated a dysregulated sphingolipid pathway in the DCI brain, characterized by the upregulation of the transporter ATP-binding cassette transporter A2 (ABCA2) and the enzymes sphingosine-1-phosphate phosphatase 1 (SGPP1) and ceramide synthase 2 (CERS2). SE treatment dynamically modulated this pathway: it downregulated ABCA2 in a potentially weight-independent manner and SGPP1 in a weight-dependent fashion, linked to the normalization of cerebral bile acid profiles. In contrast, CERS2, a robust marker of disease severity, was not altered by SE.

CONCLUSION: Our study uncovers a novel "gut microbiota-bile acid-sphingolipid" axis in DCI and suggests that SE acts via a dual mechanism. It drives a weight-dependent restoration of the gut-brain axis, normalizing microbial and bile acid profiles to regulate SGPP1, while also exerting weight-independent effects, potentially through direct modulation of targets like ABCA2. This work highlights the gut microbiome as a key component in the therapeutic action of SE and reveals the multifaceted nature of its neuroprotective effects.},
}

@article {pmid41971343,
year = {2026},
author = {Qiao, YC and Jiang, XX and Zhan, JP and Cheng, XH and Liu, F and Zhang, WS and He, GP and Peng, JZ and Wu, YJ and Yang, SG},
title = {Correction: Effects of different mulching practices on soil microbial community structure, function, and interaction networks in a chieh-qua cultivation.},
journal = {Frontiers in microbiology},
volume = {17},
number = {},
pages = {1832275},
doi = {10.3389/fmicb.2026.1832275},
pmid = {41971343},
issn = {1664-302X},
abstract = {[This corrects the article DOI: 10.3389/fmicb.2026.1691984.].},
}

@article {pmid41971525,
year = {2026},
author = {Adekoya, AE and Boggs, TE and Ibberson, CB},
title = {Revealing community dynamics in polymicrobial infections through a quantitative framework.},
journal = {ISME communications},
volume = {6},
number = {1},
pages = {ycag061},
pmid = {41971525},
issn = {2730-6151},
abstract = {Laboratory models provide tractable, reproducible systems that have long served as foundational tools in microbiology. However, the extent to which these models accurately mimic the biological environments they represent remains poorly understood. A quantitative framework was recently introduced to assess how well laboratory models capture microbial physiology in situ. However, applications of this framework have been limited to characterizing the physiology of a single species in human infections, leaving a gap in our understanding of overall microbial community physiology in polymicrobial contexts. Here, we extended this framework to evaluate the accuracy of laboratory model systems in capturing community-level functions in polymicrobial infection. As a proof of concept, we applied the extended framework to a polymicrobial model of human chronic wound (CW) infection. CWs harbor metabolically diverse bacterial species that engage in a range of microbe-microbe interactions, ultimately impacting community dynamics and disease progression. However, studies on the mechanistic drivers of chronic wound infection have relied on single species or pairwise approaches. Here, we demonstrate that our adapted framework can be used to develop accurate polymicrobial models. Further, we demonstrate that this extended framework can evaluate the occurrence of known microbe-microbe interactions. Building on our prior work in large-scale metagenomic and metatranscriptomic analysis, we propose a highly accurate 6-member synthetic bacterial community model i.e. representative of the taxonomic and functional complexity of human CW infections. This approach will support the development of ecologically relevant polymicrobial models and better treatment strategies.},
}

@article {pmid41971531,
year = {2026},
author = {Zhang, W and Han, N and Zhang, T and Qiang, Y and Peng, X and Li, X and Kan, B},
title = {Dynamic change patterns of the human gut microbiota-fluctuation, loss-acquisition, and turnover-and their underlying causes.},
journal = {ISME communications},
volume = {6},
number = {1},
pages = {ycag046},
pmid = {41971531},
issn = {2730-6151},
abstract = {The temporal dynamics of the gut microbiome are critical to human health, yet their patterns and underlying drivers remain poorly characterized at a monthly resolution and strain level. This knowledge gap limits the development of targeted microbiome interventions. Here, we integrate longitudinal analyses across three human cohorts-a cross-sectional cohort (n = 190), an intensive 52-month time series (n = 7), and a paired 6-month cohort (n = 43)-together with a humanized mouse model under antibiotic perturbation. Using shotgun metagenomics (516 samples), we resolve microbial dynamics at species and strain resolution. We identify three distinct modes of temporal variation: relative abundance fluctuations, species loss-acquisition events, and strain turnover. Strain turnover contributes substantially to the dynamic reservoir of functional genes, including those associated with virulence and antibiotic resistance. These dynamics are influenced by antibiotic exposure and microbial interspecies interactions. Our work provides a month-scale atlas of gut microbiome variation, revealing widespread transient colonization and strain-level plasticity, thereby offering a refined framework for understanding microbiome stability and personalized microbial ecology.},
}

@article {pmid41971738,
year = {2026},
author = {Ji, HL and Liu, CH and Nie, CX and Luo, JF and Li, XR and Fu, AS and Ge, YL},
title = {Metagenomic next-generation sequencing unveils invasive aspergillosis masquerading as miliary tuberculosis in a neutropenic leukemia patient: a case report.},
journal = {Frontiers in fungal biology},
volume = {7},
number = {},
pages = {1751760},
pmid = {41971738},
issn = {2673-6128},
abstract = {BACKGROUND: Empirical anti-tuberculosis therapy is a common strategy when patients with acute leukemia chemotherapy-induced neutropenia develop diffuse pulmonary small nodular and subsolid lesions. However, the absence of pathogenetic verification may lead to catastrophic consequences.

METHODS: Following negative conventional microbiological cultures (bronchoalveolar lavage bacterial culture, Gram/Gram-negative test) and ineffective anti-infective therapy, a second bronchoscopy revealed caseous obstructive lesions in the right upper lobe bronchus. Metagenomic Next-Generation Sequencing (mNGS) analysis of lavage fluid ultimately confirmed invasive pulmonary fungal disease.

RESULTS: The mNGS analysis of the bronchoalveolar lavage fluid (BALF) reported 6,750 Aspergillus fumigatus sequences, 43 Aspergillus complex sequences, and 81 Candida albicans sequences (considered airway colonization with no pathogenic significance), confirming probable invasive pulmonary aspergillosis (IPA) in line with the 2023 revised EORTC/MSGERC consensus criteria for invasive fungal diseases. Following discontinuation of anti-tuberculosis therapy, targeted antifungal treatment with amphotericin B (40 mg daily) was initiated. Post-treatment, the patient's temperature normalized. Follow-up CT demonstrated improved absorption of lesions in the left lung and right lower lobe, with stable cavitary nodules in the right upper lobe.

CONCLUSION: This case demonstrates that invasive pulmonary fungal infection can perfectly mimic the typical radiographic features of hematogenous disseminated pulmonary tuberculosis, including diffuse small nodular and subsolid lesions with a miliary distribution pattern predominantly in the upper lobes and extrapulmonary manifestations such as erythema nodosum. For unexplained pulmonary infections in immunocompromised hosts where conventional diagnosis and empirical treatment fail, the timely application of bronchoscopy combined with mNGS technology represents a critical breakthrough for achieving precise diagnosis.},
}

@article {pmid41971837,
year = {2026},
author = {Du, S and Lin, D and Zhang, TL and Chu, HY and Zhu, D},
title = {Earthworm gut's potential positive impact on carbon cycle by influencing carbohydrate metabolism and microbial genome size.},
journal = {Fundamental research},
volume = {6},
number = {2},
pages = {837-846},
pmid = {41971837},
issn = {2667-3258},
abstract = {The earthworm microbiome significantly impacts global soil ecosystems. This study explores how earthworm gut eukaryome (fungi and protists) and functional genes respond to land use and climatic factors. Over 150 earthworm-soil sample pairs were collected from arable and forest ecosystems across China. High-throughput and shotgun metagenomic sequencing revealed lower fungal, protistan, and CAZyme gene diversities in the earthworm gut than in the soil (0.77-fold, 0.19-fold, and 0.74-fold compared to the soil, respectively), but higher proportions of parasitic protists (3.78-fold compared to the soil) and carbohydrate metabolism genes involved in glycosyl transfer (1.41-fold compared to the soil). Arable systems showed higher abundances of functional genes associated with carbon fixation, nitrification, phosphorus dissolution, and sulfite reduction compared to forest systems. This study highlights the associations between earthworm gut microeukaryotes and functional genes especially glycosyl transferases involved in carbohydrate biosynthesis. Furthermore, larger microbial genomes were found in the earthworm gut compared to the soil, which may harbor more functional genes involved in cellular processes, carbohydrate binding, and glycosyl transfer. These findings suggest that earthworm gut microeukaryotes may have a positive impact on their average genome sizes and carbohydrate metabolism within the carbon cycle. This study contributes to advancing our understanding of the functionality of microeukaryotes in the earthworm gut, especially for the carbon cycle.},
}

@article {pmid41971922,
year = {2026},
author = {Zhu, W and Li, Y and Xu, Q and Lin, D and Zhou, T and Yang, F and Shi, M},
title = {Late-onset fungal infection of the bronchial stump post-lung resection: a report of two rare cases of Aspergillus flavus and mixed Candida/Cryptococcus coinfection diagnosed via metagenomic next-generation sequencing.},
journal = {AME case reports},
volume = {10},
number = {},
pages = {63},
pmid = {41971922},
issn = {2523-1995},
abstract = {BACKGROUND: Fungal infection of the bronchial stump is rare, characterized by insidious clinical manifestations and often misdiagnosed as bacterial infection or tumor recurrence. Most reported cases involve Aspergillus fumigatus, with Aspergillus flavus encountered far less frequently. Importantly, fungal colonization of the bronchial stump by Cryptococcus species has not been previously documented, nor has a mixed infection involving Cryptococcus and other fungi at this site. These rare presentations highlight diagnostic blind spots in postoperative airway management and underscore the need for heightened clinical awareness.

CASE DESCRIPTION: Case 1: A 53-year-old man underwent left upper lobectomy for adenocarcinoma four years prior. In 2024, he presented with hoarseness and chest tightness. Positron emission tomography-computed tomography (PET-CT) revealed a metabolically active soft-tissue nodule adjacent to the surgical suture line. Bronchoscopic biopsy combined with metagenomic next-generation sequencing (mNGS) confirmed the diagnosis of bronchial stump aspergillosis (BSA). The patient received posaconazole therapy for 7 months. Case 2: A 77-year-old woman underwent right lower lobectomy for adenocarcinoma six years earlier. In 2025, she developed cough with sputum production. CT demonstrated bilateral pneumonia with focal consolidation/atelectasis and bilateral pleural effusions. Bronchoscopy and mNGS identified a mixed infection with Candida albicans and Cryptococcus neoformans at the bronchial stump. Following treatment with caspofungin and fluconazole, her clinical symptoms improved, and follow-up CT imaging showed resolution of inflammatory changes.

CONCLUSIONS: Although fungal infection of the bronchial stump is rare, it warrants early consideration when post-lobectomy patients develop persistent symptoms unresponsive to antibiotics. Early radiological clues-such as unexpected metabolic activity around suture granulomas or localized nodular thickening at the stump-should prompt further evaluation. When conventional cultures remain negative and clinical deterioration continues, early initiation of mNGS can facilitate timely pathogen identification and guide targeted antifungal therapy.},
}

@article {pmid41972094,
year = {2026},
author = {Yoshioka, I and Hayashi, C and Endo, Y and Sawada, A and Mori, Y and Ban, S and Yaguchi, T},
title = {Detection of fungal contamination on museum books stored under controlled environmental conditions: A discrepancy between culture-based and metagenomic analysis approaches.},
journal = {Mycoscience},
volume = {67},
number = {1},
pages = {20-26},
pmid = {41972094},
issn = {1618-2545},
abstract = {Mold contamination in library and museum collections poses risks to both cultural heritage and human health. This study examined fungal flora on books stored under controlled environmental conditions (temperature <20 °C, relative humidity <50%) in The University Museum, The University of Tokyo. Both culture-dependent methods and DNA-based metabarcoding targeting the internal transcribed spacer 2 region were used. DNA analysis revealed that Aspergillus halophilicus accounted for over 90% of the sequences from six books. In contrast, culture-based methods using standard media (e.g., PDA, DG18, M40Y) primarily isolated species such as Aspergillus, Penicillium, and Cladosporium, but not A. halophilicus. However, cultivation on CzA supplemented with 70% sucrose at lower temperatures enabled successful isolation of A. halophilicus from one sample. The strain was identified based on morphological features and β-tubulin gene analysis. These findings demonstrate a notable discrepancy between molecular and culture-based results, underscoring the limitations of conventional media for detecting xerophilic fungi in dry environments. The study suggests that desiccation-tolerant species like A. halophilicus can thrive even under strict storage controls and may evade standard integrated pest management (IPM) protocols. To better assess fungal risks in preservation settings, combining improved media with DNA-based methods is essential.},
}

@article {pmid41972101,
year = {2026},
author = {Tong, W and Qiao, L and Yang, Y and Li, X and Zhang, Y and Huang, Z and Luo, H and Zhao, L and Zhang, S},
title = {Cross-kingdom metabolic cooperation drives vanillic acid biosynthesis: A spatiotemporal dissection of microbial functional networks in solid-state fermentation.},
journal = {Current research in food science},
volume = {12},
number = {},
pages = {101394},
pmid = {41972101},
issn = {2665-9271},
abstract = {Microbial self-organization into spatiotemporally structured consortia is key to metabolic specialization in natural environments, yet the principles governing this process in food fermentation are poorly understood. Here, we elucidate how cross-kingdom microbial cooperation drives the biosynthesis of vanillic acid (VA), a critical flavor and bioactive phenolic compound, during the solid-state fermentation of strong-flavor baijiu (SFB). Integrated metagenomic and network analyses across stratified pit layers and fermentation stages revealed a defined three-phase succession model. Early phase (D0-D12) was dominated by filamentous fungi (Aspergillus, Paecilomyces) in upper layers, initiating starch hydrolysis and phenylpropane precursor synthesis (e.g., contributing 22.6% to phenylalanine ammonia-lyase). A transitional bacterial-fungal consortium (Pichia, Klebsiella) then mediated intermediate conversion (D12-D45), with enzymatic hotspots shifting downward. The maturation phase (D45-D85) was defined by the dominance of acidophilic Acetilactobacillus (>80% relative abundance) in the lower layer, which executed the final synthesis steps (contributing 31.5% to caffeic acid O-methyltransferase) and concurrently suppressed vanillic acid degradation via downregulation of vanillate O-demethylase. Network analysis confirmed a spatial metabolic division of labor: fungi specialized in upper-layer lignin deconstruction, while bacteria dominated the completion of phenylpropanoid pathways in the lower layer. Critically, peak VA accumulation (0.375 mg/L at D45) coincided with synchronized enzyme expression across layers, demonstrating active metabolic coordination rather than passive environmental filtering. Our findings establish that functional succession and spatial compartmentalization are fundamental ecological principles enabling efficient biosynthesis in solid-state fermentation, demonstrating that flavor outcomes can be programmed through targeted microbial consortium design.},
}

@article {pmid41972180,
year = {2026},
author = {Zhai, Y and Yu, M and Cheng, L and Liu, X and Yan, J},
title = {Orientia tsutsugamushi and Epstein-Barr Virus coinfection presenting with transient fluctuating hearing loss: a case report.},
journal = {Frontiers in immunology},
volume = {17},
number = {},
pages = {1750100},
pmid = {41972180},
issn = {1664-3224},
mesh = {Humans ; Female ; Middle Aged ; *Epstein-Barr Virus Infections/diagnosis/complications/drug therapy/virology ; *Scrub Typhus/diagnosis/complications/drug therapy/microbiology ; *Coinfection/diagnosis ; *Orientia tsutsugamushi/immunology ; *Herpesvirus 4, Human/immunology ; *Hearing Loss/diagnosis/etiology ; },
abstract = {Scrub typhus, caused by the obligate intracellular bacterium Orientia tsutsugamushi(O. tsutsugamushi), is an acute febrile illness. While neurological complications are known, hearing loss is an uncommon manifestation, and coinfection with Epstein-Barr virus(EBV) presents unique diagnostic and pathophysiological challenges. A 58-year-old woman presented with a 5-day history of high fever, severe headache, and constitutional symptoms. She reported transient, fluctuating bilateral hearing loss. Examination revealed characteristic eschars on her legs. Laboratory findings indicated hepatic impairment and systemic inflammation. Metagenomic next-generation sequencing (mNGS) of cerebrospinal fluid detected O. tsutsugamushi and EBV. EBV serology profile (VCA-IgG+, VCA-IgM-, EBNA-IgG+) suggested viral reactivation. The patient failed to respond to initial beta-lactam antibiotic therapy but showed rapid and complete resolution of symptoms, including hearing loss, after initiation of doxycycline. At the 1-month and 3-month follow-up, audiological assessment confirmed normal hearing. This case highlights a rare presentation of scrub typhus with EBV coinfection involving fluctuating hearing loss. The dramatic response to doxycycline suggests this auditory symptom may be a reversible, immune-mediated complication of O. tsutsugamushi infection. Physicians should be aware of this potential manifestation in endemic areas. The immunological interplay between these pathogens warrants further investigation.},
}

Humans
Female
Middle Aged
*Epstein-Barr Virus Infections/diagnosis/complications/drug therapy/virology
*Scrub Typhus/diagnosis/complications/drug therapy/microbiology
*Coinfection/diagnosis
*Orientia tsutsugamushi/immunology
*Herpesvirus 4, Human/immunology
*Hearing Loss/diagnosis/etiology

@article {pmid41972428,
year = {2026},
author = {Wang, YF and Wang, YN and Lin, D and Xu, JY and Qi, FY and Cui, HL and Lu, HJ and Qiao, M and Topp, E and Zhu, D and Rillig, MC and Zhu, YG},
title = {Diversity of Pharmaceuticals Enhances Antibiotic Resistance in the Invertebrate Gut via Biofilm-Mediated Mechanisms.},
journal = {Advanced science (Weinheim, Baden-Wurttemberg, Germany)},
volume = {},
number = {},
pages = {e18849},
doi = {10.1002/advs.202518849},
pmid = {41972428},
issn = {2198-3844},
support = {42307169//National Natural Science Foundation of China/ ; 42577136//National Natural Science Foundation of China/ ; U25A20803//National Natural Science Foundation of China/ ; 2023J02031//Fujian Provincial Natural Science Foundation of China/ ; 2022A-163-G//Ningbo Yongjiang Talent Project/ ; 2023321//Youth Innovation Promotion Association, Chinese Academy of Sciences/ ; },
abstract = {The environmental accumulation of non-antibiotic pharmaceuticals is an emerging driver of antibiotic resistance. While individual compounds are known to shape the soil resistome, and contaminant diversity also plays a role, the impact of pharmaceutical diversity on the gut resistome of soil invertebrates remains unclear. Here, we combined metagenomics and metaproteomics to examine the collembolan gut and soil resistome across a gradient of pharmaceutical diversity under diurnal warming. Increasing pharmaceutical diversity at a constant total concentration significantly enriched antibiotic resistance genes (ARGs) in the gut microbiome, with no comparable effect in surrounding soils. This enrichment was mainly driven by multidrug resistance associated with efflux activity and biofilm-related processes, accompanied by increases in ARG-carrying taxa such as Gordonia and Ochrobactrum. Notably, Ochrobactrum encoded biofilm-related aryl polyene pathways. In vitro experiments confirmed that biofilm formation promotes resistance through coordinated cellular responses. Metaproteomic data indicated that Ochrobactrum initiates early biofilm formation by recruiting extracellular matrix producers such as Bacillus and Pseudomonas. Diurnal warming modulated these responses, indicating an interaction between chemical diversity and climate stress. These findings identify pharmaceutical diversity as an independent driver of ARG enrichment in host-associated microbiomes and establish chemical complexity as a key factor in assessing the ecological risks of pharmaceutical pollution.},
}

@article {pmid41972755,
year = {2026},
author = {Langenfeld, K and Arts, P and Monahan, A and Criswell, A and Wigginton, KR and Duhaime, MB},
title = {Novel machine learning-based approach to identify viral biomarkers of human respiratory emissions from oral and nasal metagenomes.},
journal = {mSphere},
volume = {},
number = {},
pages = {e0011326},
doi = {10.1128/msphere.00113-26},
pmid = {41972755},
issn = {2379-5042},
abstract = {Humans spend approximately 90% of their lives in built environments, making virus transmission indoors a key determinant of health. Environmental sampling of respiratory viral pathogens is often challenging because of frequent non-detect measurements. Non-detect measurements do not differentiate between samples containing low or no pathogens from samples that simply lack respiratory expulsions altogether. This ambiguity can be resolved by scanning samples for a biomarker of human respiratory emissions. To do so, reliable biomarkers for environmental monitoring need to be identified. Ideal biomarkers are prevalent across individuals, abundant, and unique to the human respiratory tract. Here, we present a new machine learning-based approach to query for suitable biomarker candidates from publicly available metagenomes and apply it to identify viral biomarkers of healthy oral and nasal microbiomes. Twelve viral biomarker candidates were selected from 1,232 curated viral operational taxonomic units. The viral biomarker candidates had as much as 63% prevalence across respiratory metagenomes, and prevalence was further increased to 77%-81% by combining two or three biomarkers. Real-time PCR confirmed that these viral biomarkers were prevalent and abundant in nasal swabs and saliva samples. Notably, top candidate biomarkers remained stable and detectable through multiple lab purification steps, increasing confidence in their viral origins and demonstrating their suitability for environmental monitoring. These findings demonstrate that existing metagenomes can be used to identify effective biomarker candidates for environmental sampling.IMPORTANCEDeveloping non-pharmaceutical interventions to reduce virus transmission indoors relies on robust environmental monitoring methods. Monitoring viral pathogens is challenging because of frequent non-detect measurements that introduce uncertainty. For instance, a non-detect measurement could indicate either the absence of the pathogen or simply the lack of human respiratory activity and, thus, exposure. To aid in distinguishing these scenarios, this study identifies viruses from the human respiratory tract using publicly available sequencing data that can be incorporated into environmental monitoring as biomarkers of human respiratory activity. These viral biomarkers will improve indoor monitoring to help enact interventions to mitigate virus transmission. Furthermore, our approach to identify biomarkers from existing metagenomes can be adapted for future biomarker identification in any system.},
}

@article {pmid41972785,
year = {2026},
author = {He, X and Liu, J and Cheng, H and Zhu, X and Lin, H and Li, D-W and Yang, Y and Liu, R and Song, D and Zheng, Y and Lea-Smith, DJ and Pedentchouk, N and Todd, JD and Zhao, M and Zhang, X-H},
title = {Metabolically diverse microorganisms mediating hydrocarbon cycling in the subseafloor sediment of the Challenger Deep.},
journal = {mBio},
volume = {},
number = {},
pages = {e0394325},
doi = {10.1128/mbio.03943-25},
pmid = {41972785},
issn = {2150-7511},
abstract = {Hadal subseafloor sediments host abundant and active microbial biosphere with considerable heterotrophic activity. However, carbon and nutrient cycling processes and mechanisms driven by hadal subsurface microorganisms remain poorly understood. Using culture-dependent and culture-independent methods, we characterized the diversity, metabolism, and vertical dynamics of hydrocarbon-degrading (HYD) bacteria in a subsurface sediment core (MT20-750, ~750 cm below seafloor [cmbsf]) collected from the Challenger Deep (10,816 m below sea level) in the Mariana Trench. The sediment core contained high concentrations of mid- and long-chain n-alkanes (310-8,724 ng/g), although no }

@article {pmid41973542,
year = {2026},
author = {Muurmann, AT and Rasmussen, JA and Limborg, MT and Gilbert, MTP and Bahrndorff, S},
title = {Functional gut microbiomes enhance performance in house fly larvae.},
journal = {Applied and environmental microbiology},
volume = {},
number = {},
pages = {e0001126},
doi = {10.1128/aem.00011-26},
pmid = {41973542},
issn = {1098-5336},
abstract = {UNLABELLED: In a world with an increase in human population, food consumption, and the generation of organic waste, insects are emerging as a promising tool to convert organic waste material into human food or animal feed. The insect microbiome is known to play a key role in the degradation of organic substrates, but little is known about the metabolic potential of the microbiome of industrially reared fly larvae. We investigated the microbial composition and metabolic potential of the house fly (Musca domestica) larva gut microbiome from larvae grown on three different waste and by-product-based substrates. We found that bacteria associated with the larval gut were enriched for functions related to microbial stress mechanisms, indicating strong selection of the gut microbiome by house fly larvae. In addition, the gut microbiome of larvae reared on sludge-based substrate had higher diversity when weighting for rare species and a higher coverage of "carbohydrate transport and metabolism" genes compared to brewery by-product-based substrate. A positive correlation between coverage of "pyridoxal-P synthesis" and larval survival and substrate conversion efficiency suggests that microbial synthesis of vitamin B6 could enhance larval performance. Additionally, a negative correlation between coverage of the "Entner-Doudoroff pathway" and "homoprotocatechuate degradation" and substrate conversion indicates microbial competition for sugars and aromatic amino acids. Together, these results reveal how the host selects on gut microbiomes with metabolic potential that is optimized toward the conversion of substrates that may be ultimately valuable for commercial insect production.

IMPORTANCE: Fly larvae are expected to play an important role in future food and feed production through the conversion of low-value biomass into high-quality protein. The gut microorganisms of fly larvae are expected to play an important role in bioconversion and could potentially be manipulated to improve biomass conversion. In this study, the importance of the gut bacteria of house fly larvae for bioconversion was investigated by metagenomic sequencing, which provided information on the bacterial abundance and potential functional roles in the larval gut. The results reveal that the functional potential of gut bacteria is affected by larval feed and correlates with larval performance, highlighting the importance of the gut microbiome for efficient biomass conversion.},
}

@article {pmid41973723,
year = {2026},
author = {Denison, ER and Hillary, LS and Bolanos, HA and Anagu, HI and Emerson, JB},
title = {DNA Viral Size Fraction Metagenomics for Human Stool Samples.},
journal = {Journal of visualized experiments : JoVE},
volume = {},
number = {229},
pages = {},
doi = {10.3791/70187},
pmid = {41973723},
issn = {1940-087X},
mesh = {Humans ; *Feces/virology ; *Metagenomics/methods ; *DNA, Viral/genetics/isolation & purification/chemistry ; *DNA Viruses/genetics/isolation & purification ; },
abstract = {Understanding the healthy human virosphere (the viral component of the microbiome) requires accurate measurements of viral community composition across a diverse range of viral types. Building on prior experience with soil viral community ecology methods, here we demonstrate a series of laboratory approaches for enriching and extracting DNA from extracellular DNA viruses in human stool samples. A working primary protocol is presented, along with options for deviations at different steps. The general approach involves adding a liquid buffer (default: protein-enhanced phosphate buffered saline, PPBS) to facilitate removal of free viral particles from the stool matrix, centrifugation to separate the liquid fraction containing viral particles, filtration (default: 0.2 µm pore size) to remove most cells, concentration of viral particles (default: ultracentrifugation), removal of free nucleic acids with nucleases prior to virion lysis, and then DNA extraction for sequencing. Alternative techniques, including different buffers, filter sizes, and concentration methods, are also noted. Overall, multiple options for generating high-quality viromic DNA for sequencing are offered. Rather than tailoring the approach to specific equipment and resources, the protocol's flexibility should make it broadly applicable across labs with varying standard molecular biology equipment.},
}

Humans
*Feces/virology
*Metagenomics/methods
*DNA, Viral/genetics/isolation & purification/chemistry
*DNA Viruses/genetics/isolation & purification

@article {pmid41974680,
year = {2026},
author = {Valverde, G and Sarhan, MS and Cook, R and Rota-Stabelli, O and Adriaenssens, EM and Zink, A and Maixner, F},
title = {An ancient genome of Streptococcus pyogenes from a pre-Columbian Bolivian mummy.},
journal = {Nature communications},
volume = {},
number = {},
pages = {},
doi = {10.1038/s41467-026-71603-9},
pmid = {41974680},
issn = {2041-1723},
abstract = {Streptococcus pyogenes, or Group A Streptococcus (GAS), is a human pathogen responsible for a range of diseases, from mild infections to severe illnesses. Despite its significance in modern clinical settings, little is known about the pathogen's evolutionary history or its presence in ancient human populations. Here, we present genomic evidence of S. pyogenes in the pre-Columbian Americas. We analysed a tooth from a naturally mummified individual dating to the Late Intermediate Period (1283-1383 cal AD), housed in the National Museum of Archeology (MUNARQ) in La Paz, Bolivia. Mitochondrial DNA analysis confirmed the host's Native American ancestry. Shotgun metagenomic sequencing and de-novo assembly enabled the near-complete reconstruction of an ancient S. pyogenes genome displaying close similarity to contemporary strains linked to pharyngitis. The genome contains core virulence genes, but prophages lack streptococcal pyrogenic exotoxins. Phylogenetic analyses place the strain at the base of modern S. pyogenes diversity, and Bayesian analyses indicate that most extant lineages diversified globally within the past ~5,500 years. Our results push back the confirmed presence of S. pyogenes in the Americas by several centuries and suggest that the pathogen circulated among Indigenous populations prior to the European contact.},
}

@article {pmid41974697,
year = {2026},
author = {Espinosa, CA and Njunge, JM and Tickell, KD and Diallo, AH and Sayeem Bin Shahid, ASM and Gazi, MA and Kazi, Z and Yoshioka, E and Tigoi, C and Mburu, M and Ngari, M and Ngao, N and Omer, E and Gumbi, W and Gichuki, BM and Mitchel, A and Williams, J and Gogain, J and Janjic, N and Mandal, R and Jenkins, B and Browne, HP and Shao, Y and Rozday, T and Stares, MD and Dawson, NJR and Berson, E and Chang, A and Kim, Y and Mataraso, SJ and Shu, CH and Phongpreecha, T and Xue, L and Saleem, A and Singa, B and Ahmed, T and Voskuijl, WP and Wishart, DS and Houpt, ER and Liu, J and Ali, A and Mupere, E and Chisti, MJ and Bandsma, RHJ and Lawley, TD and Koulman, A and Lancioni, CL and Aghaeepour, N and Berkley, JA and Walson, JL and , },
title = {Multiomics characterization of acute child illness and mortality in Africa and South Asia.},
journal = {Nature communications},
volume = {},
number = {},
pages = {},
doi = {10.1038/s41467-026-69754-w},
pmid = {41974697},
issn = {2041-1723},
abstract = {Childhood illnesses from infectious diseases in low- and middle-income countries contribute substantially to the global under-five mortality. Many hospitalized children experience incomplete recovery, readmission, and post-discharge mortality despite guideline-directed care. However, targeted interventions remain elusive due to limited understanding of underlying mechanisms. In this work, we employ multiomic profiling and multivariate modeling to investigate biological drivers of inpatient and post-discharge mortality in 3,101 acutely ill children across nine sites in sub-Saharan Africa and South Asia. In a nested case-cohort (N = 1008), we generate plasma proteomics, serum metabolomics and lipidomics, stool metagenomics, and fecal pathogen data at admission and discharge. Additionally, we profile 270 geographically matched community children for biological baselines. We identify a generalizable mortality signature marked by immune, inflammatory, and metabolic dysregulation with gut dysbiosis. We show that mortality-associated signals persist from admission through discharge, indicating unresolved disease and that malnourished children show greater baseline perturbations, explaining elevated risk. We also find some children with low clinical severity display high predicted mortality risk from targeted biomarkers. Finally, we distill predictive models to a clinically feasible biomarker panel and validate our findings in an independent cohort (N = 100). By linking inpatient and post-discharge mortality to specific biological mechanisms, our findings highlight why current care can fail and demonstrate how biomarker-guided risk stratification can identify vulnerable children currently missed by clinical assessments, enabling targeted interventions to reduce mortality in low- and middle-income countries.},
}

@article {pmid41974712,
year = {2026},
author = {Zhao, N and Geng, P and Jimenez, D and Garcia, AC and Six, N and LaPlante, CI and Perez, AG and Silverman, GJ and Morel, L and Ge, Y},
title = {Multiomics-guided discovery of protective microbiome signatures in lupus-prone mice treated with Faecalibacterium prausnitzii.},
journal = {Nature communications},
volume = {},
number = {},
pages = {},
doi = {10.1038/s41467-026-71718-z},
pmid = {41974712},
issn = {2041-1723},
support = {R01AI143313//U.S. Department of Health & Human Services | NIH | National Institute of Allergy and Infectious Diseases (NIAID)/ ; R01AI143313//U.S. Department of Health & Human Services | NIH | National Institute of Allergy and Infectious Diseases (NIAID)/ ; },
abstract = {Gut microbiome dysbiosis has been implicated in the pathogenesis of systemic lupus erythematosus (SLE). However, microbiota-targeted therapeutic strategies have been lacking. Here, we report the potential of Faecalibacterium prausnitzii (strain UT1) to ameliorate gut dysbiosis and alleviate disease progression in the B6.Sle1.Yaa male mouse model of SLE. Fecal metagenomes of patients with SLE shifted carbohydrate catabolism from dietary fibers to host glycans, coinciding with depletion of F. prausnitzii. Oral administration of UT1 partially reversed lupus-associated microbiome alterations and rescued carbohydrate metabolic deficiency in lupus-prone mice. Using correlative metatranscriptomics and metabolomics, we observed restricted expression of bacterial genes related to mucin degradation, elevated pentose phosphate pathway and bile acid-modifying activities, and redirected tryptophan catabolism toward indoleacetic and indoleacrylic acids. Further host cell profiling showed that UT1 rebalanced colonic regulatory T (Treg) and T helper 17 (Th17) cell responses, suppressed systemic autoimmune activation and autoantibody production, and reduced renal pathology. Thus, our findings identify SLE-associated active microbiome signatures and provide a probiotic candidate for the treatment of lupus disease.},
}

@article {pmid41975031,
year = {2026},
author = {Sepulveda, BJ and González-Recio, O and Chamberlain, AJ and Xiang, R and Cocks, BG and Wang, J and Prowse-Wilkins, CP and Marett, LC and Williams, SRO and Jacobs, JL and García-Rodríguez, A and Jiménez-Montero, JA and Pryce, JE},
title = {Reliable enteric methane prediction from the cattle (Bos taurus) rumen microbiome.},
journal = {Communications biology},
volume = {},
number = {},
pages = {},
doi = {10.1038/s42003-026-10048-8},
pmid = {41975031},
issn = {2399-3642},
support = {DairyBio//Dairy Australia/ ; },
abstract = {The production of methane, a potent greenhouse gas, by ruminants during feed digestion is designated enteric methane emissions (EME) and is mainly produced by the rumen microbiome. Reliably recording EME in large populations is currently cost-prohibitive, hampering farming decisions aimed at reducing EME. Here, we perform comprehensive analyses on host genetics, KEGG orthology groups (KOs) from the rumen metagenome, and EME of more than 800 cows from Australia and Spain. We report that the rumen microbiome explains up to 34% of the EME variance, and when combined with the host genome, the variance explained is up to 59% with prediction accuracies of up to 0.40. The results support a recursive model, where both the host genome and rumen metagenome explain EME. The isometric log-ratio transformation of KOs may potentially better capture relationships between host genetics and the rumen microbiome than the centered log-ratio transformation, and BayesR yielded slightly higher microbe‑explained EME variance than best linear unbiased prediction. A forward simulation estimated to reach 90% of EME prediction accuracy with 6,000 animals with rumen microbiomes and host genomes, which could open opportunities for developing strategies to reduce EME. Our study contributes to the foundation for reducing EME, supporting global warming mitigation.},
}

@article {pmid41975041,
year = {2026},
author = {Stepanyan, A and Kotsafti, A and Rosato, A and Castagliuolo, I and Scarpa, M and Scarpa, M and , },
title = {Gut microbiota-associated predictors as biomarkers of neoadjuvant treatment response in rectal cancer-a systematic review.},
journal = {British journal of cancer},
volume = {},
number = {},
pages = {},
pmid = {41975041},
issn = {1532-1827},
support = {IG 2019 - ID. 23381//Associazione Italiana per la Ricerca sul Cancro (Italian Association for Cancer Research)/ ; },
abstract = {BACKGROUND: The gut microbiome is increasingly recognized as a modulator of cancer therapy outcomes and a potential predictive biomarker. This systematic review synthesizes current evidence on microbial biomarkers associated with neoadjuvant treatment (NT) response in rectal cancer (RC).

METHODS: PubMed, Embase, and Ovid Medline databases were searched through March 2025. Eligible studies included RC patients treated with NT with baseline microbial analysis stratified by treatment response. Two reviewers independently performed screening, data extraction, and quality assessment (NIH and STORMS tools). Due to substantial heterogeneity, a structured qualitative synthesis without meta-analysis was conducted following SWiM guidelines, using a direction-of-effect vote-counting approach.

RESULTS: Sixteen observational studies (842 patients) were included, covering chemoradiotherapy (nCRT), total neoadjuvant therapy, chemotherapy, and immunochemoradiotherapy. Microbiota composition was investigated by 16S rRNA sequencing, metagenomics, or metatranscriptomics on fecal or tissue samples. While microbial diversity showed inconsistent associations, specific taxa -notably Bacteroides, Fusobacterium and Akkermansia- emerged as recurrent biomarkers of poor response to nCRT. Twelve predictive models reported AUROC values from 0.73 to 0.97, with limited external validation.

CONCLUSIONS: Specific microbial taxa show a consistent association with nCRT resistance across independent cohorts. However, methodological heterogeneity and limited reproducibility warrant standardized prospective validation before clinical implementation.

PROSPERO: CRD42023433704.},
}

@article {pmid41975095,
year = {2026},
author = {Guan, K and Ocampo, RF and Matheus Carnevali, PB and Castelle, CJ and Gonzalez-Osorio, L and Castanzo, DT and Thomas, NC and Brothers, M and Dangerfield, TL and Hooper, MM and West, MS and Appleby, NM and Krudop, I and Lamothe, RC and Aliaga Goltsman, DS and Alexander, LM and Butterfield, CN and Johnson, KA and Brown, CT and Taylor, DW},
title = {Comparative characterization of Cas12f orthologs reveals mechanistic features underlying enhanced genome editing efficiency.},
journal = {Nature structural & molecular biology},
volume = {},
number = {},
pages = {},
pmid = {41975095},
issn = {1545-9985},
abstract = {Miniature CRISPR-Cas12f nucleases are attractive candidates for therapeutic genome editing because of their compact size and compatibility with adeno-associated virus (AAV) delivery. However, editing efficiencies in mammalian cells are lower than those of larger systems. The extensive phylogenetic diversity of Cas12f suggests unexplored mechanistic variation with the potential for optimization. Here we identify and characterize a naturally occurring Cas12f ortholog discovered through metagenomics, Alistipes sp. Cas12f (Al3Cas12f), which supports robust genome editing in human cells. Through structural, biochemical and kinetic analyses, we compare Al3Cas12f to two recently described orthologs, Oscillibacter sp. Cas12f and Ruminiclostridium herbifermentans Cas12f. These orthologs present divergent architectures and regulatory features governing protospacer-adjacent motif recognition, guide RNA (gRNA) binding, dimerization and DNA cleavage. Notably, Al3Cas12f achieves efficient R-loop formation through a stable dimer interface and a naturally optimized gRNA. Leveraging these structural insights, we generate an engineered Al3Cas12f variant (RKK) that increases editing and improves activity across several tested genomic loci. By overcoming locus-dependent variability and an apparent potency threshold, this engineered compact editor seems to expand the feasibility of low-dose, AAV-compatible therapeutic genome editing. Our results elucidate mechanistic determinants of Cas12f activity and offer a framework for engineering compact genome editors that may bear therapeutic potential.},
}

@article {pmid41975182,
year = {2026},
author = {Kleinbölting, N and Fiore, A and Cangioli, L and Visca, A and Huang, L and Hett, J and Costanzo, M and Sevi, F and Tabacchioni, S and Aprea, G and Mengoni, A and Pihlanto, A and Neuhoff, D and Sczyrba, A and Schlüter, A and Bevivino, A},
title = {Impact of microbial consortia and fertilization regimes on the soil microbiome in maize field trials.},
journal = {Scientific reports},
volume = {},
number = {},
pages = {},
doi = {10.1038/s41598-026-47528-0},
pmid = {41975182},
issn = {2045-2322},
support = {818431//Horizon 2020 Framework Programme/ ; },
abstract = {Beneficial microbial consortia provide an eco-friendly alternative to conventional inorganic fertilizers and can serve as a complementary management tool for enhancing soil fertility and crop productivity. This study aimed to assess the impact of microbial consortia application on the indigenous maize rhizosphere microbiome under different fertilization regimes in organically managed fields in Germany. Three experimental microbial consortia (MC_B, MC_C, MC_C_AMF) and one commercial product (Micosat F) were tested in combination with three fertilization levels (unfertilized, 110 kg nitrogen ha[- 1], and 200 kg nitrogen ha[- 1]) in a split plot design. The diversity, composition and functional potential of the maize rhizosphere microbiome were analyzed at different maize growth stages. Fertilization levels exerted a stronger influence than microbial consortia, significantly shaping community composition and functional traits of the indigenous soil microbiome. Increasing fertilization intensity altered the abundance of specific plant growth-promoting (PGP)-determinants, either stimulating or suppressing potential PGP bacteria. In contrast, microbial consortia application did not impact PGP-associated abundance profiles. Overall, the results indicate that multifunctional microbial consortia can act as effective biofertilizers in sustainable maize cultivation without compromising resident microbiome diversity, thereby reducing long-term ecological risks on natural biodiversity.},
}

@article {pmid41975253,
year = {2026},
author = {Aquino, CI and La Vecchia, M and Pasolli, E and Sala, G and Ligori, A and Boldorini, R and Ferrante, D and Dianzani, I and Aspesi, A and Surico, D and Remorgida, V},
title = {Decoding the microbial landscape of endometrial cancer: a case-control study.},
journal = {BMC microbiology},
volume = {},
number = {},
pages = {},
doi = {10.1186/s12866-026-05017-4},
pmid = {41975253},
issn = {1471-2180},
support = {IG 2021-ID. 25886//Associazione Italiana per la Ricerca sul Cancro/ ; },
}

@article {pmid41975274,
year = {2026},
author = {Nikolaidis, M and Hu, C and Juran, BD and McCauley, BM and Schlicht, EM and Bianchi, JK and Ali, AH and Tragaki, V and Atkinson, EJ and Johnson, S and Mars, RA and Eaton, JE and Carey, EJ and Franke, A and Schramm, C and Kashyap, PC and Go, YM and Tran, V and Teeny, S and Jones, DP and Grant, CW and Athreya, AP and Miller, GW and LaRusso, NF and Gores, GJ and Karlsen, TH and Hov, JR and Amoutzias, GD and Lazaridis, KN},
title = {Compositional and functional differences of gut microbiome and metabolome inform pathogenesis of cholestatic liver disease.},
journal = {Gut microbes},
volume = {18},
number = {1},
pages = {2655793},
doi = {10.1080/19490976.2026.2655793},
pmid = {41975274},
issn = {1949-0984},
abstract = {Primary sclerosing cholangitis (PSC) and primary biliary cholangitis (PBC) are rare, idiopathic, chronic cholestatic liver diseases that respond differently to limited medical therapies and often lead to liver transplantation. We examined the compositional and functional differences in the gut microbiome, mycobiome, and metabolome of these diseases to better understand their impact on pathogenesis and outcomes. Stool sample metagenomes and metabolomes from patients with PSC (n = 245), PBC (n = 280) and matched controls (n = 245 and n = 278, respectively) were analyzed by shotgun sequencing and ultrahigh-resolution mass spectrometry. Comparisons were conducted with covariate-adjusted linear models. The gut microbiomes of patients with PSC and PBC were characterized by reduced diversity and increased abundance of pathobionts and virulence factors, coupled with altered microbial metabolism, including a reduction of short-chain fatty acids and B-vitamins. Untargeted stool metabolomics supported these results. Patients were stratified into groups using their microbial signatures, and each group had distinct patterns of microbiome-related changes. Cox regression analysis revealed that pathogenic microbial species were predictive of hepatic decompensation, whereas beneficial species had a protective effect. Based on previous groundwork and our new results, microbiome-based interventions such as probiotics, short-chain fatty acid supplementation, and phage therapy represent promising therapeutic options for cholestatic liver diseases.},
}

@article {pmid41964456,
year = {2026},
author = {Lefebvre, CS and Salmona, M and Hamane, S and Dellière, S and Charlier, V and Huguenin, A and Bonnal, C and Legoff, J and Feghoul, L and Dutkiewicz, M and Caméléna, F and Berçot, B and Charvet, E and Battistella, M and Alanio, A and Ghelfenstein-Ferreira, T},
title = {Shotgun metagenomic sequencing improves cross-kingdom diagnosis of mycetoma.},
journal = {Journal of the European Academy of Dermatology and Venereology : JEADV},
volume = {},
number = {},
pages = {},
doi = {10.1111/jdv.70450},
pmid = {41964456},
issn = {1468-3083},
}

@article {pmid41964564,
year = {2026},
author = {Zhao, S and Lin, S and Chen, M and Yan, J and Yang, D and Guo, F and Qu, H and Chen, Y},
title = {Iron-Cycling-Constructed Wetland-Microbial Fuel Cell-Enhanced Removal of Sartans: The Overlooked Singlet Oxygen and Functional Microorganisms.},
journal = {Environmental science & technology},
volume = {},
number = {},
pages = {},
doi = {10.1021/acs.est.6c00492},
pmid = {41964564},
issn = {1520-5851},
abstract = {The global challenge of population aging has led to an increase in the utilization of cardiovascular drugs such as sartans, which are frequently detected in aquatic environments and necessitate advanced treatment. Current sartan removal technologies are limited by their requirement for strict reaction conditions and the potential formation of toxic byproducts. This study presents a novel iron-cycling-constructed wetland-microbial fuel cell (Fe-CWMFC) that combines biotic and abiotic processes to effectively degrade sartans (94.4 ± 3.5%-95.9% ± 3.3%). Mass balance analysis revealed that direct microbial degradation pathways made the highest contribution (40.7-44.5%), followed by ROS-driven degradation (20.3-21.8%), substrate adsorption (26.1-29.7%), and plant uptake (2.3-2.5%). Iron cycling enhanced ROS-driven degradation, with 11.3-13.3% derived from biotic [1]O2 and 7.0-9.3% derived from abiotic [1]O2. Metagenomic binning analysis identified 60 MAGs (e.g., Thiobacillus, Nitrosomonas) with sartan degradation potential, which harbor genes encoding functional enzymes (e.g., decarboxylase, dehydroxylase, and demethylase). By combining biodegradation and ROS-driven degradation to target functional groups (e.g., -COOH, -OH, and -CH3) in sartans, the toxicity was significantly reduced. This research enhances our understanding of the combined role of ROS and microorganisms in micropollutant removal and highlights Fe-CWMFC as a high-efficiency, sustainable, and low-toxicity treatment technology for complex environmental applications.},
}

@article {pmid41964658,
year = {2026},
author = {Liu, H and Wang, C and Huang, Z and Wang, J and Cai, F and Tian, C and Feng, J and Shen, J and Wang, X},
title = {Progressive Decomposition of Algal Organic Matter Decouples Nitrogen Transformations in Lake Sediments: Evidence from Short-Term Incubation.},
journal = {Environmental science & technology},
volume = {},
number = {},
pages = {},
doi = {10.1021/acs.est.5c08386},
pmid = {41964658},
issn = {1520-5851},
abstract = {Against the backdrop of global lake eutrophication, algal bloom decay is increasingly affecting ecosystems. Algal organic matter (AOM), a natural complex mixture, undergoes multiple release and transformation stages, yet its composition and pathways remain unclear. This study used spectroscopic, mass spectrometric, and metagenomic analyses to monitor a time-compressed algal decay experiment. Results showed that AOM release and transformation can be divided into three stages. Within 1 day, labile AOM consisting mainly of proteins (8.36%), lipids (8.22%), and unsaturated carbohydrates (7.72%) was rapidly released, reshaping nitrogen (N) cycling. Its high bioavailability promoted sediment mineralization and a positive priming effect, while anaerobic conditions reduced nitrification and denitrification rates by 88.7% and 34.5%. Within 3-7 days, semilabile AOM rich in tannins (19.2%) and carbohydrates (9.41%) was gradually decomposed, maintaining anaerobic conditions. The imbalance of excessive NH4[+] and depleted NO3[-] led to the decoupling of nitrification-denitrification. After 7 days, humic-like AOM dominated by lignins (56.8%) prevailed, reducing oxygen consumption and enabling rapid recovery of nitrification and slow rebound of denitrification. These findings clarify the phased transformations of AOM and their microbial interactions, providing mechanistic insights into the short-term fluctuations of lake water quality and microbial processes during bloom decay.},
}

@article {pmid41965517,
year = {2026},
author = {Han, J and Zhou, X and Guo, M and Zhang, C and Liu, C and Cai, L and Zhao, H},
title = {Intestinal dysbiosis associates with silica-induced pulmonary fibrosis in mice via arginine and tryptophan pathways.},
journal = {BMC microbiology},
volume = {},
number = {},
pages = {},
doi = {10.1186/s12866-026-05023-6},
pmid = {41965517},
issn = {1471-2180},
support = {2025QN03136//Natural Science Foundation of Inner Mongolia/ ; 2025MS03093//Natural Science Foundation of Inner Mongolia/ ; 62231013//National Natural Science Foundation of China/ ; 62261043//National Natural Science Foundation of China/ ; },
abstract = {BACKGROUND: Pulmonary fibrosis (PF) is a life-threatening interstitial lung disease with a lack of effective therapeutic approaches. Silicosis is a subtype of PF that is specifically caused by the inhalation of crystalline silica particles. In recent years, the gut-lung axis has been shown to be involved in the occurrence and progression of various respiratory diseases. However, the involvement and specific mechanism of action of the gut microbiome in silica-induced PF remain to be elucidated. Therefore, we established a silica-induced PF murine model using an inhalation exposure system, and combined gut metagenomic and untargeted metabolomics data to correlate microbial and metabolic changes with profibrotic cytokine levels.

RESULTS: In mice exposed to silica dust for 64 days and 128 days, Akkermansia muciniphila and Staphylococcus lentus were significantly enriched, whereas the abundance of Lactobacillus murinus was notably reduced. Relevant network analysis revealed that these gut microbiota changes were highly correlated with metabolic disorders of tryptophan and arginine. Moreover, changes in the gut microbiome composition corresponded with the fluctuations in the levels of profibrotic cytokines, including transforming growth factor-beta, tumor necrosis factor-alpha, fibroblast growth factor, and hydroxyproline.

CONCLUSION: We successfully established a murine model of PF induced by silica inhalation. Our results suggest that Lactobacillus murinus, Akkermansia muciniphila, and Staphylococcus lentus are key microorganisms involved in the development of silica-induced PF, while the arginine and tryptophan metabolic pathways serve as key regulatory pathways in the gut-lung axis contributing to disease development.},
}

@article {pmid41965741,
year = {2026},
author = {Khangarot, R and Kumari, V and Mishra, R and Singh, A},
title = {Artificial intelligence in microbiology: implications for metagenomics, diagnostics, and AMR surveillance.},
journal = {Biomedical engineering online},
volume = {},
number = {},
pages = {},
doi = {10.1186/s12938-026-01568-9},
pmid = {41965741},
issn = {1475-925X},
abstract = {Artificial intelligence (AI) is now a key player in modern microbiology, as it enables high-resolution analyses of genomic, metagenomic, and clinical data for the monitoring of infectious disease and antimicrobial resistance (AMR). Considerable advancements in deep learning, transformer-based sequence models, graph neural networks, and multimodal architectures have greatly improved microbial classification accuracy, antibiotic resistance gene (ARG) detection, and resistance prediction. Taking metagenomic sequencing into consideration, these advancements have contributed to the development of sensitive, scalable, and non-invasive methods to profile microbiomes, determine novel resistance, and monitor AMR trends at the population level. This review summarizes recent advances in AI-aided microbiology, with a particular emphasis on AMR surveillance. Specific topics include deep learning frameworks for ARG annotation, emerging approaches to identifying new resistance genes, and multimodal applications (genomic and clinical metadata) aimed at improving phenotype prediction. The role of metagenome-assembled genomes (MAGs) to enhance AMR surveillance efforts is noted, along with their noted limitations relative to isolate genomes. The discussion includes the examination of explainable AI (XAI) techniques including SHAP, attention mechanism approaches, and gradient-based attribution approaches, with the aim of increasing transparency and clinical explainability. We also cover potential applications including AI-enabled non-invasive fecal microbiome diagnostics, laboratory automation, and environmental surveillance. While there has been significant progress, unresolved issues exist relating to dataset variations, liability of models to datasets, interpretability, and regulatory approval. Overcoming these barriers, however, will require standardized frameworks for these workflows, privacy-preserving federated learning methods, and interpretable AI frameworks for clinical and public health tools. AI could fundamentally change AMR surveillance by allowing for earlier resistance detection, advanced risk assessment recommendation, and improved monitoring strategies globally.},
}

@article {pmid41965996,
year = {2026},
author = {Wang, C and Shen, J and Liu, H and Huang, Z and Wang, J and Tian, C and Cai, F and Feng, J and Sha, F and Wang, X},
title = {DNRA dominates over denitrification during algal blooms in a mesotrophic lake: Implications for nitrogen retention and eutrophication risk.},
journal = {Journal of environmental management},
volume = {405},
number = {},
pages = {129621},
doi = {10.1016/j.jenvman.2026.129621},
pmid = {41965996},
issn = {1095-8630},
abstract = {Nitrogen (N) overloading threatens global lake ecosystems. However, how algal blooms affect the N balance in mesotrophic lakes by shaping N-cycling biogeographic patterns remains a critical knowledge gap. This study systematically elucidated N cycling patterns and microbial mechanisms driving N retention during algal blooms in Erhai Lake by integrating field monitoring,[15]N isotope pairing technique ([15]N-IPT), and absolute quantitative metagenomics. Results revealed that algal blooms shaped a N-cycling functional pattern in Erhai Lake characterized by organic degradation and synthesis (ODAS) dominance and dissimilatory nitrate reduction (DNR) as a key process. Notably, algal blooms disrupted traditional nitrification-denitrification coupling, shifting N cycling towards a retention mode dominated by dissimilatory nitrate reduction to ammonium (DNRA). Sedimentary DNRA contributed 69% (14.69 ± 5.57 μmol N L[-1] h[-1]) of total dissimilatory nitrate reduction (DNR) process, supported by significantly elevated NrfA (602.49 ± 121.04 μmol d[-1] g[-1]) and NirBD (361.29 ± 138.39 μmol d[-1] g[-1]) enzyme activities. Partial Least Squares Path Modeling (PLS-PM) identified the nitrogen retention index (NRI) as co-regulated by water depth and algal-mediated microbial activity/rates. High-NRI sediments were dominated by Bacteroidota (mainly orders Marinilabiliales and families Prolixibacteraceae) and Myxococcota (primarily families Anaeromyxobacteraceae), while low-NRI sediments were characterized by enrichment of Pseudomonadota (Thioalkalivibrio nitratireducens and Gallionellaceae) and Campylobacterota (Campylobacter sp. BCW_8712). DNRA outcompeted denitrification, diverting nitrate to ammonium rather than N2 gas and resulting in an internal N loading that was an order of magnitude higher than external inputs. This work challenges the denitrification-centric paradigm, revealing the microbial mechanisms of endogenous N accumulation under algal bloom conditions and providing a theoretical basis for the management of plateau lakes.},
}

@article {pmid41966291,
year = {2026},
author = {Ashango, ZA and Seyum, EG and Nwogha, JS},
title = {Integrating metagenomics into legume breeding: A breeder-centered roadmap from core microbiomes to precision inoculation.},
journal = {Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases},
volume = {},
number = {},
pages = {105941},
doi = {10.1016/j.meegid.2026.105941},
pmid = {41966291},
issn = {1567-7257},
abstract = {Metagenomics, culture-independent profiling of genetic material recovered from environmental samples, provides a powerful route to characterize microbial communities associated with legumes and to translate their functional potential into breeding targets that enhance resilience and productivity. Across analyses of rhizosphere, endosphere, and seed microbiomes, repeated studies consistently identify a conserved set of microbial functions linked to nutrient cycling, responses to abiotic and biotic stress, and biological control of pathogens, thereby offering mechanistic support that community-level functional capacities can shape host outcomes, including seedling vigor, nutrient-use efficiency, and stress tolerance. To move from descriptive discovery to actionable breeding, three complementary translational strategies have emerged: (i) synthetic microbial communities (SynComs) engineered to deliver targeted metabolic functions while enabling rigorous assessment of community stability and functional consistency; (ii) predictive model systems that integrate metagenomic features with phenotypic measurements to prioritize candidate taxa or functions for subsequent validation; and (iii) precision inoculation approaches that deploy validated microbes or consortia in agronomic settings to test whether metagenome-inferred functions confer robust performance under field-relevant conditions. A critical appraisal of metagenomic, multi-omics, and translational studies indicates that functional-phenotypic mappings are promising, yet substantial barriers continue to constrain reproducibility and scalability, including heterogeneity in sampling and experimental design, biases introduced by DNA extraction and sequencing, variability across bioinformatics workflows and reference databases, and overarching biosafety and regulatory constraints that can obscure true biological signals and weaken the reliability of functional inferences intended to guide selection decisions. To mainstream metagenomics in conventional legume breeding, we propose a breeders' roadmap centered on coordinated standardization and decision-ready analytics, encompassing standardized metagenomics-compatible sampling and sequencing platforms, harmonized computational frameworks and metabolic inference tools to ensure comparable functional calls, high-throughput phenotyping protocols aligned to microbiome-sensitive host traits, and selection frameworks that explicitly incorporate microbiome-oriented decision rules rather than treating microbial signals as ancillary. Finally, integrating machine learning with multi-omics datasets alongside precision delivery systems offers a practical route to generate actionable holobiont-level selection indices, and, when coupled with clearly defined translational pipelines and methodological standardization, metagenomics can broaden breeding gains beyond those achievable using host genomics alone, enabling more reliable, function-driven microbiome-assisted improvement of legume performance.},
}

@article {pmid41966300,
year = {2026},
author = {Bojko, J and Abd-Alla, A},
title = {'Invertebrate-virome sequence detection: implications for invertebrate products trading and regulations' - An editorial for the special issue.},
journal = {Journal of invertebrate pathology},
volume = {},
number = {},
pages = {108623},
doi = {10.1016/j.jip.2026.108623},
pmid = {41966300},
issn = {1096-0805},
abstract = {Invertebrates can be infected by many viruses that may either cause disease (invertebrate‑pathogenic viruses) or be transmitted to vertebrates or plants. Viral infections may occur in natural invertebrate populations as well as in mass‑reared colonies. The significant recent advances in genome‑sequencing technologies have provided fast and relatively inexpensive tools for detecting invertebrate viruses in both wild and mass‑rearing settings, even at very low levels. The presence of such viruses raises important questions regarding the impact of covert infections on invertebrate health, sanitation, and overall colony performance. The articles in this special issue address viral sequence detection, viral sequence diversity, the impact of viruses on invertebrates, and the relationship between food and feed, and policy.},
}

@article {pmid41966314,
year = {2026},
author = {Liu, S and Qin, Y and Ni, H and Hou, QY and Xu, C and Leng, X and Li, XM and Yang, MT and Tang, LY and Sun, YZ and Zhao, Q and Ni, HB and Zhang, XX and Jiang, J and Yang, LH and Ma, H},
title = {Genomic Characterization, Antimicrobial Resistance and Virulence Profiles of Klebsiella pneumoniae Isolated from Mink in Northern China.},
journal = {Microbial pathogenesis},
volume = {},
number = {},
pages = {108485},
doi = {10.1016/j.micpath.2026.108485},
pmid = {41966314},
issn = {1096-1208},
abstract = {Klebsiella pneumoniae is an important opportunistic pathogen of One Health concern, and its multidrug-resistant (MDR) and hypervirulent strains pose serious threats to public health. However, the epidemiological characteristics, antimicrobial resistance profiles, and virulence potential of K. pneumoniae circulating in farmed minks remain poorly understood. In this study, we integrated phenotypic antimicrobial susceptibility testing, whole-genome sequencing, and metagenomic analysis to investigate the epidemiology, resistance determinants, and virulence characteristics of K. pneumoniae isolated from farmed minks in northern China. A total of 41 K. pneumoniae strains from 325 fecal samples (isolation rate: 12.62%), including three hypervirulent strains. All isolates exhibited multidrug resistance, with complete resistance to florfenicol, azithromycin, and sulfisoxazole, but remained highly susceptible to carbapenems and polymyxin B. Whole-genome sequencing revealed that the isolates harbored 241 antibiotic resistance genes (ARGs), including ESBL-associated genes and the plasmid-mediated mcr-1.1, along with 7,111 virulence factor genes (VFGs) and 135 mobile genetic elements (MGEs). Metagenomic analysis further revealed a complex resistome and virulome, with 7,259 ARGs and 6,701 virulence-related genes identified across samples. Antibiotic target alteration and efflux were the dominant resistance mechanisms, while effector delivery systems, metabolic functions, and adherence were the major virulence categories. MGEs were abundant, especially transposases, indicating active genetic mobility within the microbial community. Overall, this study provides a comprehensive characterization of antimicrobial resistance and virulence features of mink-derived K. pneumoniae and highlights the potential role of farmed minks as reservoirs of multidrug-resistant bacteria within the One Health framework, offering important insights for antimicrobial resistance surveillance and public health risk assessment.},
}

@article {pmid41966472,
year = {2026},
author = {Merkhan, K and Chaudhry, AS},
title = {Phytogenic feed additives mitigate in vitro methanogenesis and alter microbial community and functional pathways in the dairy cow rumen.},
journal = {Anaerobe},
volume = {98},
number = {},
pages = {103046},
doi = {10.1016/j.anaerobe.2026.103046},
pmid = {41966472},
issn = {1095-8274},
abstract = {OBJECTIVES: Using phytogenic feed additives (PFA) could be a promising strategy for mitigating enteric methane (CH4) emissions from ruminants. This study aimed to evaluate the efficacy of specific phytogenic additives on rumen fermentation, methanogenesis, microbial community, and functional pathways.

METHODS: This 2 x 4 x 3 factorial study was conducted using an in vitro rumen fermentation system for a period of 72 h. Treatments included two silage-to-concentrate ratios (60:40 and 40:60), four PFA (great burnet leaves, GBL; oregano leaves, OL; cumin seeds, CS; and garlic bulbs, GB), and three inclusion levels (0, 10, and 20 g kg[-1] DM) for each PFA.

RESULTS: The GB addition proved the most potent anti-methanogenic additive, reducing CH4 by up to 32.8% at 20 g kg[-1] DM, followed by GBL with a 28.5% reduction at 10 g kg[-1] DM, without impairing total volatile fatty acid production. Methane suppression was associated with a lower acetate-to-propionate ratio, decreased abundance of methanogenic archaea (particularly Methanobrevibacter), and reduced expression of the key methanogenesis gene mcrA and fmdB. While GB exhibited a strong anti-protozoal effect, OL effectively reduced ruminal ammonia concentrations. Additionally, metagenomic analysis identified Porcincola was among the core and most abundant genera in our bovine rumen dataset.

CONCLUSION: Optimising the inclusion of specific phytogenic additives can selectively manipulate the rumen microbiome, concurrently reduce methane production and influence nitrogen metabolism. Further research is warranted to evaluate potential synergistic interactions among these additives to enhance fermentation efficiency of ruminant diets.},
}

@article {pmid41966559,
year = {2026},
author = {Jordán, M and Bustos-Caparros, E and Gago, JF and Zhang, Z and Tian, Z and Singleton, DR and Rossello-Mora, R and Grifoll, M and Vila, J},
title = {Unraveling acridine degradation mechanisms in PAH-contaminated soils using DNA-SIP combined with metagenomics and soil transcriptomics.},
journal = {Journal of hazardous materials},
volume = {509},
number = {},
pages = {142004},
doi = {10.1016/j.jhazmat.2026.142004},
pmid = {41966559},
issn = {1873-3336},
abstract = {Polycyclic aromatic nitrogen heterocycles (PANHs), also known as azaarenes, are common co-contaminants at sites contaminated with polycyclic aromatic hydrocarbons (PAHs). Recent non-target analysis of PAH-contaminated soil samples has revealed an unexpected abundance and diversity of PANHs, with acridine standing out as a predominant compound within this group. Despite its known toxicity and prevalence in contaminated soils, the microbial communities and biochemical mechanisms responsible for acridine degradation remain poorly understood. We conducted DNA-stable isotope probing (DNA-SIP) using newly synthesized uniformly labeled [13]C-acridine to comprehensively assess the bacterial taxa and functional genes involved in acridine biodegradation in a creosote-contaminated soil. Metagenomic analysis of [13]C-enriched DNA from soil incubations identified a member of the genus Sphingobium as the primary acridine degrader. Transcriptomic analysis based on its 16S rRNA gene expression demonstrated a strong correlation with acridine removal from the soil. Shotgun metagenomic sequencing enabled the reconstruction of one metagenome-assembled genome (MAG). Functional annotation of this MAG revealed five gene clusters potentially involved in acridine biodegradation, and their actual contribution was assessed by gene expression analysis in soil incubations. Based on these findings, we reconstructed the metabolic pathway for putative acridine degradation in PAH-contaminated soil.},
}

@article {pmid41966829,
year = {2026},
author = {Tóth, AG and Paholcsek, M and Solymosi, N and Stágel, A and Gömbös, P and Posta, K and Lakatos, I and Nagy, SÁ and Ferenczi, S and Szőke, Z},
title = {Protocol for the assessment of the impact of mycotoxins and glyphosate residues on the gut microbiome and resistome of European fallow deer.},
journal = {STAR protocols},
volume = {7},
number = {2},
pages = {104498},
doi = {10.1016/j.xpro.2026.104498},
pmid = {41966829},
issn = {2666-1667},
abstract = {Here, we present a protocol to describe the bacteriome of the intestinal content of toxin-exposed fallow deer. We describe steps for measuring fecal mycotoxin (deoxynivalenol, zearalenone, fumonisin B1, and aflatoxin B1) levels using liquid chromatography-mass spectrometry, as well as serum glyphosate. We then detail a short-read shotgun DNA sequencing-based bioinformatic pipeline for the toxin level-associated analysis of the bacteriome and resistome and the construction of metagenome-assembled bacterial genomes. This protocol has potential applications in further toxin level-associated metagenome studies. For complete details on the use and execution of this protocol, please refer to Tóth et al.[1].},
}

@article {pmid41967167,
year = {2026},
author = {Okoye, CO and Okoye, KC and Ezenwanne, BC and Olalowo, OO and Andong, FA and Echude, D and Chukwudozie, KI and Emencheta, SC and Ezeonyejiaku, CD and Ikele, CB},
title = {Microbiome and multi-omics insights into sustainable aquaculture: A triennial systematic review.},
journal = {Comparative biochemistry and physiology. Part D, Genomics & proteomics},
volume = {59},
number = {},
pages = {101830},
doi = {10.1016/j.cbd.2026.101830},
pmid = {41967167},
issn = {1878-0407},
abstract = {Aquaculture is the fastest-growing food production sector, yet intensive practices drive disease outbreaks, antibiotic resistance, and environmental degradation, threatening long-term sustainability. The aquaculture microbiome, encompassing host-associated and environmental microbial communities, regulates nutrient cycling, pathogen suppression, immunity, and overall system resilience. This triennial systematic review (2023-2025), conducted according to PRISMA guidelines, synthesized 19 highly relevant peer-reviewed studies that applied multi-omics approaches (metagenomics, transcriptomics, metabolomics, SNP genotyping, and their integration) to aquaculture microbiomes across shrimp, finfish, and hybrid species. The studies collectively revealed diverse host-microbe-metabolite interactions underpinning growth, immunity, and disease resistance, with representative examples including microbial-metabolite-host signaling axes and microbiome-mediated immune modulation, as seen in Salinivibrio-AMP-mTOR axis, EHP-resistant shrimp via metabolic reprogramming and stable microbiota, and Bacillus-mediated diglyceride production. Beneficial taxa such as Cetobacterium and Salinivibrio, heritable microbiome traits, and sustainable interventions including insect-meal feeds, phytogenic additives, and organic copper consistently improved growth, immunity, and microbial stability while reducing dysbiosis under stress. Environmental stressors and pathogens induced reproducible shifts in microbial diversity, functional pathways, and host metabolism. These findings demonstrate that multi-omics integration is transforming aquaculture into a precision discipline, enabling microbiome-informed selective breeding, targeted probiotics, and environmentally sound nutrition. To translate these insights into practice, future research must emphasize functional validation, machine learning-driven predictive models, and ecosystem-level assessments to achieve resilient, antibiotic-reduced, and sustainable aquaculture systems.},
}

@article {pmid41967206,
year = {2026},
author = {Moletta-Denat, M and Azam, O and Pourcher, AM and Manno, M and Zennaro, B and Bonin, E and Bonnafous, A and Chenon, P and Leboucher, A and Alvarez-Fraga, L and Godon, JJ and Wéry, N},
title = {Fate of pathogenic bacteria in five full-scale biogas plants monitored using cultivation, dPCR, and shotgun metagenomics: Insights from each approach.},
journal = {Waste management (New York, N.Y.)},
volume = {218},
number = {},
pages = {115505},
doi = {10.1016/j.wasman.2026.115505},
pmid = {41967206},
issn = {1879-2456},
abstract = {Current global standards for quantification of pathogenic or indicator bacteria in biogas plants primarily rely on culture-based methods using specific media. However, molecular techniques such as quantitative PCR, digital PCR (dPCR), and shotgun metagenomics are increasingly employed in research and may offer more effective pathogen monitoring for industrial applications. This study analyzed samples from five full-scale biogas plants using traditional culture-based methods, dPCR and shotgun metagenomics to monitor indicator bacteria (Escherichia coli, Enterococcus spp. and Clostridium perfringens) and pathogenic species (Salmonella enterica, Listeria monocytogenes, Staphylococcus aureus and Clostridium botulinum). The DNA extraction protocol was optimized to achieve quantification limits of 1.1 copies of gene g[-1] wet weight, compatible with regulatory thresholds. Comparing the three methods revealed that shotgun metagenomics detected a greater diversity of pathogenic species in biowaste, including S. aureus and C. botulinum. Acidophilic conditions in hydrolysis tank effectively hygienized the biowaste. In contrast, the four agricultural biogas plants showed limited effect on the three indicator bacteria, as indicated by dPCR. This study demonstrates, for the first time, the added value of combining dPCR and shotgun metagenomics to assess pathogen dynamics in biogas plants. Together, these methods provide a more comprehensive and specific view of microbial contaminants, as illustrated by the detection of Enterococcus cecorum in digestates.},
}

@article {pmid41967340,
year = {2026},
author = {Li, M and Yao, K and Harindintwali, JD and Qian, M and Wu, N and Kan, Y and Song, Z and Xiao, X and Liu, P and Zhao, Y},
title = {Alkali-organic synergy rewires microbial acid tolerance to restore nitrogen cycling in acidic soils.},
journal = {Journal of environmental management},
volume = {405},
number = {},
pages = {129619},
doi = {10.1016/j.jenvman.2026.129619},
pmid = {41967340},
issn = {1095-8630},
abstract = {Soil acidification in global croplands is intensifying, yet the microbial mechanisms by which amendments restore soil nitrogen (N) cycling remain poorly understood. Here, we used a decade-long field experiment in strongly acidic soils to elucidate how alkali slag and organic manure, alone and in combination, regulate acid-tolerant microbial functions and N transformation processes. By integrating soil physicochemical analyses, 16 S rRNA gene sequencing, and shotgun metagenomics, we show that the combined application of organic manure and alkali slag (OM + AS) most effectively increased soil pH (from 4.18 to 5.42) and reduced inorganic N accumulation relative to single amendments (Ammonium nitrogen, nitrate nitrogen, and total organic nitrogen decreased by 15.66 mg/kg, 12.56 mg/kg, and 46.09 mg/kg respectively). Metagenomic profiling revealed that OM + AS consistently up-regulated acid-tolerance pathways (proton pump increased by 6.12%, alkali production increased by 9.75%, acid consumption increased by 5.12%) together with key N cycling genes, with the strongest enhancement observed for nitrification (increased by 84.54%). Network analysis demonstrated significant positive co-occurrence between acid-tolerance and nitrification genes across the microbial community. Correspondingly, bacterial taxa harboring these functions, including Sphingomonas and Nitrospira, were most abundant under OM + AS. We propose that alkali slag and organic manure act synergistically to elevate soil pH, relieve acid stress on microbes, and promote a community with dual capacities for acid tolerance and active N transformation. These findings mechanistically link soil acidity amelioration with enhanced microbial-mediated N cycling and offer a functional basis for designing targeted soil remediation strategies.},
}

@article {pmid41967439,
year = {2026},
author = {Tang, C and Wan, C and Gan, J and He, Z and Wei, C and Tan, H and Wu, R and Yu, F and Li, Y},
title = {Rhizosphere phosphorus and iron cycling accelerates manganese phytoextraction by Polygonum lapathifolium.},
journal = {Journal of hazardous materials},
volume = {509},
number = {},
pages = {142033},
doi = {10.1016/j.jhazmat.2026.142033},
pmid = {41967439},
issn = {1873-3336},
abstract = {Manganese (Mn) contamination in mining soils poses persistent ecological risks due to its high mobility and potential accumulation in plants. Although exogenous microbial inoculation is increasingly used to improve phytoremediation, the mechanisms by which it regulates rhizosphere phosphorus (P) and iron (Fe) cycling, and thereby influences Mn bioavailability, remain poorly understood. We hypothesized that Enterobacter sp. inoculation would enhance Mn phytoextraction by stimulating rhizosphere P activation and Fe speciation transformation, thereby promoting nutrient acquisition and Mn mobilization. To test this hypothesis, we investigated the effects of Enterobacter sp. inoculation on rhizosphere P/Fe fractions, functional genes, and Mn phytoextraction. Enterobacter sp. significantly decreased rhizosphere soil pH and enhanced P-releasing enzyme activities, increasing available P by 26.7% under the C1.0 (3.8 ×10[7] CFU·g[-1] (soil)) treatment compared with the control (p < 0.05). Concurrently, Fe(II) and amorphous Fe increased by 11.9% and 15.1%, respectively (p < 0.05), indicating enhanced Fe transformation in the rhizosphere. These shifts facilitated plant P and Fe acquisition, promoted biomass production, enhanced Mn phytoextraction in Polygonum lapathifolium L. by strengthening rhizosphere redox conditions and mineral interfacial processes. Metagenomic analysis revealed that Enterobacter sp. inoculation increased the functional potential of genes related to P activation (e.g., gcd, phnP) and Fe biosynthesis/uptake (e.g., hemH, pchB), mainly associated with Pseudomonadota and Actinomycetota. Partial least squares path modeling further confirmed positive associations among P/Fe cycling genes, rhizosphere P/Fe fractions, enzymatic activities, and plant growth. Overall, microbial inoculation enhanced Mn phytoremediation by coordinating rhizosphere nutrient cycling processes, providing a promising strategy for the remediation of HMs-contaminated mining soils.},
}

@article {pmid41967476,
year = {2026},
author = {Wang, H and Di, D and Du, S and Tateno, R and Peñuelas, J and Migliavacca, M and Chen, Q and Guan, J and Song, Y and Shi, W},
title = {Plant functional trait differentiation and microbial life-history strategy shifts drive soil respiration under long-term forest restoration.},
journal = {Tree physiology},
volume = {},
number = {},
pages = {},
doi = {10.1093/treephys/tpag042},
pmid = {41967476},
issn = {1758-4469},
abstract = {Soil respiration (Rs) represents a major carbon (C) flux linking plant productivity with microbial decomposition; however, the mechanisms by which contrasting forest restoration pathways regulate Rs and its components remain insufficiently understood. We conducted a six-year field observation (2017-2022) across abandoned farmland (AF), Quercus liaotungensis forest (QF), and Robinia pseudoacacia plantation (RP) on the Loess Plateau, China, integrating measurements of Rs, autotrophic (Ra), heterotrophic (Rh), plant functional traits, soil physicochemical properties, and microbial C metabolic potential. Afforestation significantly increased Rs, with a stronger enhancement observed in QF than in RP. Although Ra did not differ significantly between the two forest types, Rh accounted for approximately 70% of Rs and primarily explained the significant differences in Rs between restoration pathways. Elevated Rh in QF was strongly associated with greater abundances of microbial functional genes involved in the degradation of C substrates. Integrated analyses further revealed that differentiation in plant functional traits between QF (conservative strategy) and RP (acquisitive strategy) indirectly amplified Rh contributions to Rs by reshaping soil substrate availability and coordinating shifts in microbial life-history strategies. Collectively, our findings identify plant functional trait differentiation as a key driver of long-term Rs dynamics, mediated by shifts in microbial life-history strategies.},
}

@article {pmid41967488,
year = {2026},
author = {Du, M and Xue, P and Minasny, B and Jang, HJ and McBratney, A},
title = {Macroecological processes impact Australian soil resistomes and climatically stable regions with anthropogenic activities serve as ARG hotspots.},
journal = {The ISME journal},
volume = {},
number = {},
pages = {},
doi = {10.1093/ismejo/wrag079},
pmid = {41967488},
issn = {1751-7370},
abstract = {Soil antibiotic resistance genes (ARGs) pose a global health threat, but a critical knowledge gap remains regarding how macro-scale pedoclimatic constraints interact with land-use intensification to determine the spatial distribution of the soil resistome. To address this, we conducted a continental-scale survey of Australian topsoils and used metagenomic analysis to reveal the hierarchy of drivers shaping the soil resistome. Machine learning was applied to predict the spatial ARG distribution across Australia. We found that, at the continental scale, climatic variability acts as the dominant filter on ARG distribution, overriding local soil properties and human disturbance. Unexpectedly, climatically stable regions, characterised by sandy and low-carbon soils in Southwestern Australia, emerged as ARG hotspots. We also demonstrated that anthropogenic land use amplifies ARG abundance within these climatically stable regions. Furthermore, spatial modelling revealed distinct geographical patterns: although total ARG abundance was enriched in coastal regions, specific resistance mechanisms showed unique distributions. As a continental-scale investigation of soil ARGs in Australia, this study provides a framework to identify high-risk regions where lower climatic variability and intensive farming interact to enhance antimicrobial resistance.},
}

@article {pmid41968394,
year = {2026},
author = {Zhao, B and Yang, X and Feng, K and Wang, J and Liu, M and Wang, Y and Wang, D and Peng, X and He, Q and Lu, Y and Waseem, H and Wang, S and Deng, Y},
title = {Phylogenetic assembly of methanogenesis regulates methane yield in food-waste anaerobic digestion.},
journal = {The ISME journal},
volume = {},
number = {},
pages = {},
doi = {10.1093/ismejo/wrag083},
pmid = {41968394},
issn = {1751-7370},
abstract = {Anaerobic digestion (AD) of food waste (FW) is a key wate-to-energy strategy, yet daily biogas yield is often challenging to sustain, partly due to a limited understanding of the internal methanogens and their functional divergence. Here, we investigated seven full-scale mesophilic FW-AD systems distributed across China along a broad latitudinal gradient (>2,800 km), linking methane production variations (0.38-2.11 m3/m3•d-1) with the phylogenetic distributions of methanogens and their methanogenic genes. We found that hydrogenotrophic and aceticlastic pathways were ubiquitous, whereas methylotrophic methanogenesis showed regional enrichment in warmer regions, reflecting persistent influences of climate-associated upstream conditions on downstream methanogenic communities. Gene-level phylogeny of methanogenesis-related alleles, rather than species-level phylogeny, closely tracked biogas yield variation (Mantel's P < 0.05) and showed consistently stronger associations than gene-level compositions (mean standardized total effect: 0.491 vs. 0.298, P < 0.01). Higher methane yields (1.61 vs. 0.61 m3/m3•d-1 in high- vs. low-performing systems, P < 0.01) were significantly associated with reduced Faith's phylogenetic diversity (1.82 vs. 2.30, P < 0.01) and tighter clustering (mean pairwise phylogenetic distance, MPD: 0.25 vs. 0.30, P < 0.01) of methanogenic gene variants, suggesting that phylogenetic coherence may reflect ecological filtering favoring efficient methanogenesis, albeit at the expense of functional redundancy. These findings highlight gene-level trait phylogeny as a potential proxy for functional robustness, offering a framework for ecological design of AD microbiomes.},
}

@article {pmid41864063,
year = {2026},
author = {Jian, X and Yu, P and Zhang, Y and Pan, H and Wu, K and Zhang, H and Zhang, H and Huang, Y and Zhao, Y and Wang, Y and Wang, Y and Zhou, Q and Zhang, X and Zhao, G and Li, B and Guo, J and Xia, K and Tang, B and Li, J},
title = {Large-scale profiling of blood microbial signatures in patients with Parkinson's disease and its association with disease progression: a cross-sectional study.},
journal = {EBioMedicine},
volume = {126},
number = {},
pages = {106224},
pmid = {41864063},
issn = {2352-3964},
mesh = {Humans ; *Parkinson Disease/microbiology/blood/diagnosis ; Disease Progression ; Male ; Female ; Aged ; Biomarkers/blood ; Middle Aged ; Cross-Sectional Studies ; *Microbiota ; Whole Genome Sequencing ; *Bacteria/genetics/classification ; Metagenomics/methods ; },
abstract = {BACKGROUND: Emerging evidence supports the presence of microbial signatures in the blood, yet their clinical relevance remains poorly understood. In this study, we profiled blood microbial signatures in patients with Parkinson's disease (PD) and investigated their associations with disease progression.

METHODS: We analysed 4018 whole-genome sequencing (WGS) data of blood samples from two independent cohorts. The high-quality non-human reads were extracted for microbial annotation using Kraken 2 and Bracken software with the PlusPF database. To identify PD-associated signatures, we implemented a population-based, cross-cohort filtration process with resequencing validation to minimise noise and putative contaminants.

FINDINGS: Microbial DNA signals, predominantly bacterial, were extensively detected in the sequencing data and were more abundant in individuals with PD than in controls. Across the two cohorts, 126 bacterial species were identified as key signatures, nearly two-thirds of which are known to colonise human body sites. Among these, 19 species exhibited increased abundance and higher prevalence in PD, and could serve as features to discriminate effectively patients from controls. Furthermore, several microbial signatures were correlated with more severe clinical manifestations, such as motor dysfunction and cognitive impairment.

INTERPRETATION: Our findings supported blood microbial signatures as promising biomarkers in PD, although their origin and functional relevance remain to be validated. The analytical framework may facilitate future investigations into the potential clinical implications of blood microbial signatures in disease contexts.

FUNDING: This work was supported by Hunan Innovative Province Construction Project, National Natural Science Foundation of China, and Natural Science Foundation of Hunan Province.},
}

Humans
*Parkinson Disease/microbiology/blood/diagnosis
Disease Progression
Male
Female
Aged
Biomarkers/blood
Middle Aged
Cross-Sectional Studies
*Microbiota
Whole Genome Sequencing
*Bacteria/genetics/classification
Metagenomics/methods

@article {pmid41957864,
year = {2026},
author = {Mawarda, PC and Speksnijder, A and Krijger, D and Berkhout, J and Hoogenboom, A and Duijker, DA and Khoiri, AN and Kraaijeveld, K and Stech, M and Wittink, F},
title = {Functional redundancy and stability support the resilience of the Evernia prunastri holobiont under urbanization.},
journal = {Environmental microbiome},
volume = {},
number = {},
pages = {},
doi = {10.1186/s40793-026-00886-8},
pmid = {41957864},
issn = {2524-6372},
support = {NWA.1389.20.111//Nederlandse Organisatie voor Wetenschappelijk Onderzoek/ ; NWA.1389.20.111//Nederlandse Organisatie voor Wetenschappelijk Onderzoek/ ; NWA.1389.20.111//Nederlandse Organisatie voor Wetenschappelijk Onderzoek/ ; },
abstract = {BACKGROUND: Lichens are now recognized as holobionts comprising a mycobiont, photobiont, and diverse microbiomes, yet the functional roles of these additional microbial partners remain poorly characterized, especially under urbanization. Here, we used the epiphytic lichen Evernia prunastri from urban and natural areas to test the hypothesis that its resilience to urbanization is underpinned by functional stability and redundancy within its multi-kingdom consortium.

RESULTS: Using an integrated approach of amplicon and shotgun metagenomic sequencing, we found that the bacterial community structure and the functional potential of the mycobiont, bacteria, and fungi remained stable despite urbanization, highlighting stability and resistance to urban environmental stress. Furthermore, by focusing on symbiosis-related functions, we found that each partner shows tendencies toward certain roles, yet we discovered broad functional overlap, suggesting microbial contributions that buffer the symbiosis. Finally, we found that E. prunastri and its microbiome harbors diverse biosynthetic gene clusters with predicted ecological functions relevant for the symbiosis, spanning photoprotection, oxidative stress mitigation, nutrient acquisition, defense, and chemical communication.

CONCLUSIONS: Our study provides unprecedented genomic evidence that lichen resilience is an emergent property of the integrated holobiont, where functional complementarity and redundancy among diverse symbiotic partners maintain stability under urban environmental conditions.},
}

@article {pmid41957950,
year = {2026},
author = {van der Heijden, M and Clubb, JHA and Erawijantari, PP and Ronkainen, A and Arias, V and Jirovec, E and Kudling, T and Pakola, SA and Ojala, N and Haybout, L and Basnet, S and Grönberg-Vähä-Koskela, S and Karoliina Raatikainen, S and Hemminki, O and Kanerva, A and Quixabeira, DCA and Cervera-Carrascon, V and Manuel Dos Santos, J and Lahti, L and Hemminki, A},
title = {Alistipes and Eggerthella shape the response to oncolytic adenovirus therapy in mice and humans through short-chain fatty acid metabolism.},
journal = {Oncoimmunology},
volume = {15},
number = {1},
pages = {2656514},
doi = {10.1080/2162402X.2026.2656514},
pmid = {41957950},
issn = {2162-402X},
mesh = {*Oncolytic Virotherapy/methods ; Humans ; Animals ; Mice ; *Adenoviridae/genetics ; *Fatty Acids, Volatile/metabolism ; *Gastrointestinal Microbiome ; *Oncolytic Viruses ; Feces/microbiology ; Female ; *Neoplasms/therapy/microbiology ; Male ; },
abstract = {Accumulating evidence implicates the microbiome as an important determinant of clinical outcomes in cancer therapies; however, the role of the microbiome in oncolytic virus therapy remains largely unexplored. We investigated the gut microbiome of cancer patients following treatment with the oncolytic adenovirus igrelimogene litadenorepvec (Ad5/3-E2F-d24-hTNF-IRES-hIL2; TILT-123). Baseline fecal samples from phase I clinical trials (NCT04695327 and NCT05271318) were analyzed using shotgun metagenomic sequencing and compared to treatment outcomes. A higher relative abundance of Alistipes was observed in patients with treatment benefit, while elevated Eggerthella was observed with reduced benefit. These associations were validated in a preclinical mouse model where administration of Alistipes shahii improved the efficacy of adenovirus therapy. In addition, enrichment analysis in patient samples showed a positive correlation between higher relative abundance of Alistipes and elevated short-chain fatty acids in both feces and serum, which in turn revealed higher circulating neutrophil counts. Finally, in a case study, we observed that adenovirus treatment resulted in increased Alistipes relative abundance and reduced Eggerthella relative abundance, indicating that adenovirus therapy may beneficially modulate the microbiome. Overall, our findings reveal a novel association between Alistipes, Eggerthella, and the therapeutic response to oncolytic adenovirus therapy, highlighting their potential as biomarkers or targets for microbiome-based interventions such as pre-, pro-, or postbiotics.},
}

*Oncolytic Virotherapy/methods
Humans
Animals
Mice
*Adenoviridae/genetics
*Fatty Acids, Volatile/metabolism
*Gastrointestinal Microbiome
*Oncolytic Viruses
Feces/microbiology
Female
*Neoplasms/therapy/microbiology
Male

@article {pmid41958036,
year = {2026},
author = {Shin, H and Jeon, MK and Hur, HG},
title = {A Cautionary Case for Host Assignment Based on Broad Environmental blaOXA Carriers.},
journal = {Environmental microbiology reports},
volume = {18},
number = {2},
pages = {e70327},
doi = {10.1111/1758-2229.70327},
pmid = {41958036},
issn = {1758-2229},
support = {RS-2023-NR076613//National Research Foundation of Korea/ ; },
mesh = {*beta-Lactamases/genetics ; Metagenomics/methods ; *Bacteria/genetics/drug effects/enzymology/isolation & purification/classification ; Anti-Bacterial Agents/pharmacology ; Wastewater/microbiology ; Metagenome ; *Bacterial Proteins/genetics ; Microbiota ; Drug Resistance, Bacterial/genetics ; },
abstract = {Metagenomic analyses rely heavily on contig assembly and reference databases, which can introduce substantial bias when predicting the hosts of antibiotic resistance genes (ARGs) in complex environmental microbiomes. Reference-based metagenomic pipelines assign ARGs mostly to clinically important pathogens because publicly available genomic repositories are dominated by clinically relevant isolates. Motivated by this limitation, we investigated whether metagenomic inferences accurately reflect the true bacterial hosts of ARGs in a wastewater treatment plant, also integrating culture-based validation. Metagenomic screening suggested that ARGs (blaOXA) were primarily associated with clinical taxa. In contrast, culture-based screening identified a wider host distribution of blaOXA genes. Our results imply that environmental bacteria, rather than clinically important taxa, are also hosts of blaOXA genes. Phenotypic testing showed elevated cephalosporin minimal but no carbapenem resistance, consistent with the nature of carbapenem-hydrolysing class D β-lactamases. Our findings reveal that reliance on reference-based metagenomic host prediction can underestimate the diversity of environmental ARG reservoirs. This integrated approach highlights the need for cautious interpretation of metagenomic host assignments and the importance of coupling metagenomic pipelines with culture-dependent validation when assessing ARG ecology in the natural environments.},
}

*beta-Lactamases/genetics
Metagenomics/methods
*Bacteria/genetics/drug effects/enzymology/isolation & purification/classification
Anti-Bacterial Agents/pharmacology
Wastewater/microbiology
Metagenome
*Bacterial Proteins/genetics
Microbiota
Drug Resistance, Bacterial/genetics

@article {pmid41958322,
year = {2026},
author = {Yang, D and Bao, C and Xia, Y and Ling, Y and Zhang, F and Ji, R and Zhong, J and Zhang, T and Tian, H and Xu, X and Sun, B},
title = {Insights Into Variations in the Gut Virome of Tibetan Macaques (Macaca thibetana) Across Wild, Captive, and Semi-Provisioned Environments.},
journal = {American journal of primatology},
volume = {88},
number = {4},
pages = {e70148},
doi = {10.1002/ajp.70148},
pmid = {41958322},
issn = {1098-2345},
support = {32171488//National Natural Science Foundation of China/ ; 32300400//National Natural Science Foundation of China/ ; },
mesh = {Animals ; *Gastrointestinal Microbiome ; *Macaca/virology/microbiology ; *Virome ; Tibet ; Male ; Animals, Zoo/virology ; Female ; },
abstract = {Viruses are integral components of the mammalian gut ecosystem, playing crucial roles in regulating the gut microbiome and maintaining host health. However, the impact of human activity on the gut virome of mammals remains poorly understood. This study investigated the gut viromes of Tibetan macaques (Macaca thibetana), a primate species endemic to China, under three distinct human-influenced environments (wild, semi-provisioned, and captive) using metagenomic sequencing. Our results revealed that semi-provisioned macaques supported the highest viral diversity, while captive and wild groups exhibited lower diversity, with distinct functional shifts among groups. Furthermore, the co-variation and highly coupled KEGG functional profiles between viral and bacterial communities suggest they function as an integrated synergistic network, where changes in one directly impact the metabolic output of the other. Co-occurrence network analysis further demonstrated that the virus-bacterium interaction network in the captive group was the most fragile, with a structure indicative of a high risk of micro-ecosystem imbalance. Microbial system imbalance is characterized by alterations in both community composition and function, resulting in diminished resilience and stability, which may ultimately compromise host intestinal health. Our results demonstrate that captivity and provisioning drive divergence in the Tibetan macaque gut virome. The fragile, skewed networks in captive individuals highlight a potential cost to microbial health, which may underlie broader health and adaptation risks such as heightened pathogen susceptibility and diminished capacity to cope with environmental perturbations. Thus, monitoring the virome offers a novel early-warning system, informing strategies to enhance welfare and conservation outcomes.},
}

Animals
*Gastrointestinal Microbiome
*Macaca/virology/microbiology
*Virome
Tibet
Male
Animals, Zoo/virology
Female

@article {pmid41958469,
year = {2026},
author = {Voigt, RM and Chaudhary, A and Naqib, A and Engen, PA and Adnan, D and Dhana, K and Green, SJ and Villanueva, M and Agarwal, P and Barnes, LL and Sacks, F and Keshavarzian, A},
title = {Weight loss and metabolic improvements dominate the microbiome response in the MIND diet intervention: a randomized controlled trial.},
journal = {Alzheimer's & dementia (New York, N. Y.)},
volume = {12},
number = {2},
pages = {e70239},
pmid = {41958469},
issn = {2352-8737},
abstract = {INTRODUCTION: Observational studies link the MIND diet to reduced risk of Alzheimer's disease (AD) and slower cognitive decline. However, a recent randomized controlled trial found no differential cognitive benefit of the MIND diet over a control diet in the context of shared caloric restriction. Given that both groups achieved significant weight loss and metabolic improvements, this study aimed to disentangle the impact of the MIND diet and host metabolic improvements on the intestinal microbiome.

METHODS: A subset of participants (n = 213) from the MIND trial were analyzed in this study. Clinical data and stool samples were collected at baseline, Year 1, Year 2, and Year 3, and longitudinal changes in microbiome composition were assessed via shotgun metagenomics.

RESULTS: Both groups exhibited significant, transient microbiome remodeling at Year 1 (the period of most active weight loss). The control group demonstrated a broad range of altered metabolic pathways, whereas the MIND diet group showed only one, suggesting a functional buffering effect of the MIND diet. Prospective modeling independent of diet group revealed that a poorer cognitive trajectory was significantly associated with increased inositol degradation (PWY-7237) and purine nucleotide salvage (PWY66-409); conversely, a better cognitive trajectory was associated with increased degradation of deoxy sugars (FUC-RHAMCAT-PWY).

DISCUSSION: Caloric restriction, weight loss, and host metabolic improvement are the dominant factors shaping the intestinal microbiome, overshadowing diet-specific taxonomic shifts. The MIND diet appeared to provide a modest stabilizing effect on the microbial functional profile against perturbations during active weight loss; however, these dietary associations did not persist in covariate-adjusted models, suggesting that host metabolic improvements remained the primary driver of functional shifts.},
}

@article {pmid41958710,
year = {2026},
author = {Nakamichi, K and Manandhar, A and Shrestha, S and Sundararajan, M and Poudel, MP and Karmacharya, BM and Bade, A and Banjara, P and Shrestha, A and Sandt, A and Turski, G and Buhr, ED and Chowdhary, A and Van Gelder, RN},
title = {Association of Seasonal Hyperacute Panuveitis Syndrome with S. pneumoniae Endophthalmitis.},
journal = {Ophthalmology science},
volume = {6},
number = {5},
pages = {101128},
pmid = {41958710},
issn = {2666-9145},
abstract = {PURPOSE: To identify potential infectious agents in cases of seasonal hyperacute panuveitis syndrome (SHAPU) from vitreous biopsies of patients with this disorder.

DESIGN: A retrospective cohort analysis.

SUBJECTS: Vitreous biopsies were obtained during the course of care from 53 subjects with SHAPU.

METHODS: DNA extraction and whole genome shotgun sequencing was performed using Oxford Nanopore long read sequencing. Sequences were matched against microbial and human databases. Visual outcomes at presentation and at 6 months were recorded.

MAIN OUTCOME MEASURES: Identification and characterization of metagenomic sequences in vitreous isolates from subjects with SHAPU.

RESULTS: Adequate DNA for sequencing was obtained from 32 SHAPU subjects. Fifteen samples yielded bacteria on culture, with 14 S. pneumoniae and 1 S. aureus isolate recovered. Bacterial DNA was detected by whole genome sequencing in 29 of 32 cases. S. pneumoniae was the predominant organism recovered. Bacterial genomic loads ranged up to 10 000 bacteria/human cell, indicating active infection. No pathogens were detected in control samples. Reconstruction of bacterial genome was possible in 7 SHAPU cases and indicated diverse S. pneumoniae subtypes associated with individual cases. Sufficient DNA remained for analysis of torque teno virus by qualitative polymerase chain reaction in 17 cases, of which 13 were positive. Visual outcomes were mixed, with 7 patients having hypotonous eyes at 6 months, but 8 patients having better than 20/200 vision. No relationship could be discerned between presenting bacterial load and visual outcome.

CONCLUSIONS: The majority of SHAPU cases show molecular evidence for concurrent S. pneumoniae infection. Good visual results are possible in treating SHAPU as endophthalmitis.

FINANCIAL DISCLOSURES: The authors have no proprietary or commercial interest in any materials discussed in this article.},
}

@article {pmid41959051,
year = {2026},
author = {Weng, Y and Moyne, O and Walker, C and Haddad, E and Lieng, C and Chin, L and Rahman, G and McDonald, D and Knight, R and Zengler, K},
title = {A Multi-Omics Processing Pipeline (MOPP) for Extracting Taxonomic and Functional Insights from Metaribosome Profiling (metaRibo-Seq) data.},
journal = {bioRxiv : the preprint server for biology},
volume = {},
number = {},
pages = {},
doi = {10.64898/2026.03.11.710980},
pmid = {41959051},
issn = {2692-8205},
abstract = {Metaribosome profiling (metaRibo-Seq) enables genome-wide measurement of translation across complex microbial communities by sequencing ribosome-protected mRNA fragments, but the short length of these footprints creates substantial nonspecific mapping against large reference genome collections, leading to spurious taxonomic and functional assignments. Here we present MOPP (Multi-Omics Processing Pipeline), a modular reference-based workflow that denoises metaRibo-Seq data by leveraging matched metagenomic coverage breadth to identify genomes likely to be truly present in a sample before aligning metatranslatomic and optional metatranscriptomic reads. MOPP generates taxon-by-gene count tables across genomic, transcriptional and translational layers, enabling integrated downstream analyses of microbial function. We evaluated MOPP using a defined 79-member synthetic human gut community profiled by metagenomics and metaRibo-Seq. Coverage breadth filtering markedly improved detection accuracy relative to a standard baseline workflow, with performance remaining robust across a broad intermediate threshold range and peaking at 92-95% coverage breadth. At a 92% threshold, MOPP reduced the number of distinct detected operational genomic units by 99.4% while retaining 87.8% of aligned metaRibo-Seq reads on average, and increased the F1 score from 0.02 to 0.61. Residual false positives were predominantly attributable to genomes with extremely high nucleotide similarity to true community members, whereas false negatives were enriched among low-abundance taxa, indicating that remaining errors are driven primarily by biological similarity and detection limits rather than widespread nonspecific mapping. Together, these results establish MOPP as a high-throughput workflow for robust processing of metaRibo-Seq in the context of matched metagenomics and position it as a scalable framework for integrated taxonomic and functional analysis of microbial communities across genomic, transcriptional and translational layers.},
}

@article {pmid41959121,
year = {2026},
author = {Solomon, Z and Eno, M and Thompson, SC and Rager, SL and Jin, JC and Zeng, MY and Keerthy, D and Worgall, S and Johnson, EL and Heras, A},
title = {Increased S. epidermidis in the airway-gut microbiome of infants with bronchopulmonary dysplasia.},
journal = {bioRxiv : the preprint server for biology},
volume = {},
number = {},
pages = {},
doi = {10.64898/2026.04.03.715941},
pmid = {41959121},
issn = {2692-8205},
abstract = {RATIONALE: Bronchopulmonary dysplasia (BPD), the lung disease associated with premature birth, is a significant health problem, often with long-term respiratory consequences. Recent research has highlighted the potential role of the lung and gut microbiome in the development and progression of BPD, yet it is unclear what aspects of the microbiome may contribute to BPD susceptibility.

OBJECTIVES: To comprehensively characterize the lung and gut microbiomes of preterm infants and identify shared microbial taxa that are associated with BPD development.

METHODS: Tracheal aspirate and stool samples were collected from 39 premature infants over the first month of life. To assess the taxonomic microbial composition of the lung and gut, samples were analyzed using shotgun metagenomic sequencing. BPD classification was determined using the National Institute of Child Health and Human Development severity-based definition at 36 weeks postmenstrual age.

MEASUREMENTS AND MAIN RESULTS: Microbial communities of the lung and gut were significantly different between infants who went on to develop BPD and those who did not, with an enrichment of skin-associated microbial genera such as Staphylococcus, Corynebacterium, and Cutibacterium in infants who developed BPD. Specifically, Staphylococcus epidermidis was enriched in premature infants who developed BPD and was the most prominent species shared between lung and gut communities. Temporal changes in gut microbial communities co-occurred with feeding practices and antibiotic exposure, suggesting an influence of external factors on microbiome composition.

CONCLUSIONS: Our findings provide evidence that certain microbial colonization patterns among premature infants are closely associated with the pathogenesis and progression of BPD.},
}

@article {pmid41959210,
year = {2026},
author = {Muller, E and Baum, S and Borenstein, E},
title = {MAAMOUL: Metabolic network-based discovery of microbiome-metabolome shifts in disease.},
journal = {bioRxiv : the preprint server for biology},
volume = {},
number = {},
pages = {},
doi = {10.64898/2026.03.27.714614},
pmid = {41959210},
issn = {2692-8205},
abstract = {MOTIVATION: A central goal in human gut microbiome research is to identify disease-associated functional shifts, an objective increasingly pursued through metagenomic and metabolomic assays. However, common differential abundance analyses of genes or metabolites often yield long and difficult-to-interpret feature lists. Aggregating features into predefined pathways can improve interpretability but relies on fixed pathway boundaries that may not reflect context-specific functional changes. Moreover, even when paired metagenomic-metabolomic data are available, they are often analyzed separately or linked only through simple statistical associations.

RESULTS: We introduce MAAMOUL, a knowledge-based computational framework that integrates metagenomic and metabolomic data to identify disease-associated, data-driven microbial metabolic modules. Leveraging prior knowledge of bacterial metabolism, MAAMOUL maps disease-association scores onto a global microbiome-wide metabolic network and identifies custom modules enriched for altered genes and metabolites. Applying MAAMOUL to inflammatory bowel disease (IBD) and irritable bowel syndrome (IBS) datasets revealed significant disease-associated modules not detected by conventional pathway-level analysis. In IBD, modules reflected disrupted sulfur and aromatic amino acid metabolism and enhanced microbial nucleotide salvage, whereas in IBS they linked purine and nicotinate/nicotinamide metabolism. These results demonstrate that network-guided multi-omic integration can uncover coherent functional shifts in the gut microbiome overlooked by single-omic or purely statistical approaches.

AVAILABILITY: MAAMOUL is available as an R package at https://github.com/borenstein-lab/MAAMOUL .},
}

@article {pmid41959308,
year = {2026},
author = {Sakdinan, B and Sinha, A and Qadri, F and Khan, AI and Nelson, EJ and Shapiro, BJ},
title = {Species-specific prophage induction by ciprofloxacin in human gut metagenomes.},
journal = {bioRxiv : the preprint server for biology},
volume = {},
number = {},
pages = {},
doi = {10.64898/2026.03.11.711154},
pmid = {41959308},
issn = {2692-8205},
abstract = {UNLABELLED: Antibiotics are known to trigger prophage induction in controlled laboratory settings, but it remains unclear whether this also occurs within microbiomes in nature. Current methods investigating the link between antibiotics and prophage induction within the human gut rely on in vitro culturing of human gut bacterial isolates. Using a metagenomic approach, we aimed to measure prophage induction and whether it is associated with antibiotic exposure. Across two independent human cohorts, we compared prophage to bacterial host read depth ratios (P:H) across known or measured antibiotic exposures. We found that induction is not broadly associated with antibiotic exposures at the level of the overall microbiome, but that ciprofloxacin increases P:H ratios in specific bacterial species. We documented heterogeneous trajectories of P:H ratios over the course of antibiotic exposure, sometimes increasing and remaining high, or returning to baseline. This study complements experimental models by providing in vivo evidence of induction in the human gut.

IMPORTANCE: Bacteriophages are viruses that infect a bacterial host. The lytic and lysogenic cycles are the two classic outcomes of phage infection. In the lytic cycle, the phage immediately replicates and lyses its host to release new viral particles. In the lysogenic cycle, the phage, now called a prophage, integrates its genome into that of its host without killing it. Prophages can switch to the lytic cycle in a process called induction, in which the viral genome is replicated, the host cell is lysed, and viral particles are released. The most immediate consequence of induction is host cell death which can impact bacterial populations and communities. Since prophages are mobile genetic elements that can move between bacteria, they are also an important vehicle for horizontal gene transfer. While induction has been well studied in vitro , whether and how induction occurs within the complex microbial ecosystem in humans is less well characterized. Understanding prophage induction in vivo is therefore critical in corroborating in vitro observations.},
}

@article {pmid41959338,
year = {2026},
author = {Kramer, AM and Zhang, A and Ayala, N and de Sanctis, B and Karim, L and Hinrichs, AS and Walia, S and Turakhia, Y and Corbett-Detig, R},
title = {Panmap: Scalable phylogeny-guided alignment, genotyping, and placement on pangenomes.},
journal = {bioRxiv : the preprint server for biology},
volume = {},
number = {},
pages = {},
doi = {10.64898/2026.03.29.711974},
pmid = {41959338},
issn = {2692-8205},
abstract = {Pangenomes capture population-level variation but remain computationally challenging at scale. We present Panmap, a tool that leverages evolutionary structure to place, align, and genotype sequencing reads against mutation-annotated pangenomes containing up to millions of genomes. Panmap introduces a phylogenetically compressed k -mer index that stores only sequence differences along branches, enabling efficient comparison of reads to both sampled genomes and inferred ancestors. This approach reduces index size by up to 600-fold and construction time by over three orders of magnitude relative to existing tools. Panmap places a 100× coverage SARS-CoV-2 sample onto 20,000 genomes in 0.4 seconds and onto 8 million genomes in under two minutes. Furthermore, it enables accurate haplotype identification and abundance estimation in metagenomic samples and sensitive placement of ancient environmental DNA without prior alignment. Our approach makes large-scale pangenomes directly amenable to read mapping, genome assembly, alignment-free phylogenetic placement, and metagenomic analysis.},
}

@article {pmid41959403,
year = {2026},
author = {Maier, J and Gin, C and Rabasco, J and Spencer, W and Bass, A and Duerkop, BA and Callahan, B and Kleiner, M},
title = {TrIdent - An R package to automate transductomics analysis of virus-like particle mediated DNA mobilization.},
journal = {bioRxiv : the preprint server for biology},
volume = {},
number = {},
pages = {},
doi = {10.64898/2026.03.31.715651},
pmid = {41959403},
issn = {2692-8205},
abstract = {BACKGROUND: Transduction is a form of horizontal gene transfer in which bacterial DNA is packaged and transferred by virus-like particles (VLPs). Transductomics is a sequencing-based method used to detect DNA carried by VLPs. During transductomics analysis, reads from a sample's ultra-purified VLPs are mapped to metagenomic contigs assembled from the same sample's whole-community. The read mapping produces coverage patterns that require a time-consuming manual inspection and classification process which makes the method's use unfeasible for datasets with many samples.

RESULTS: We developed a novel algorithm, TrIdent (Transduction Identification), that uses pattern-matching to automate the transductomics data analysis and that is available as an R package (https://jlmaier12.github.io/TrIdent/). There is no software equivalent to TrIdent so we compared TrIdent's classifications of transductomics datasets to classifications made by human classifiers. TrIdent's classifications were generally comparable to the manual classifications on a previously generated, manually classified transductomics dataset. When applied to newly generated transductomics data from the murine microbiota, TrIdent agreed with two independent human classifiers as much as the two independent human classifications agreed with each other. TrIdent classified transductomics datasets in a fraction of the time needed by human classifiers, and the classifications produced by TrIdent are fully reproducible. We used TrIdent to explore three murine gut transductomes and found that bacterial DNA associated with the Oscillospiraceae and Turicibacteraceae families was highly enriched in the DNA packaged by VLPs as compared to the whole community metagenomes.

CONCLUSIONS: The TrIdent software is a more accessible, more efficient, and more reproducible alternative to the manual inspection of read coverage patterns previously required for transductomics data analysis. To demonstrate the application of TrIdent, we analyzed transductomics datasets from murine fecal pellets and showed that specific low abundance bacterial families appear to be heavily involved in transduction.},
}

@article {pmid41959459,
year = {2026},
author = {Kim, M and Ardell, SM and Kryazhimskiy, S},
title = {Module-Selection Balance in the Evolution of Modular Organisms.},
journal = {bioRxiv : the preprint server for biology},
volume = {},
number = {},
pages = {},
doi = {10.64898/2026.04.01.715873},
pmid = {41959459},
issn = {2692-8205},
abstract = {The architecture of the genotype-phenotype-fitness map (GPFM) is a key determinant of evolutionary dynamics. One salient feature of biological GPFMs is variational modularity, where each mutation affects only a small subset of functional traits. Variational modularity may constrain the dynamics of trait evolution, but these constraints are not well understood. Here, we use several extensions of the Fisher's geometric model with two functional traits to investigate these constrains. We find that on GPFMs with universal pleiotropy, populations evolve along the fitness gradient, which implies that the trait under stronger selection is optimized exponentially faster than the trait under weaker selection. In contrast, on modular GPFMs, populations approach a quasi-steady state that we term a "module-selection balance" where both traits improve at the same rate and their ratio remains constant. We demonstrate that the existence of a module-selection balance is robust with respect to the details of evolutionary dynamics and GPFMs themselves, as long as they are variationally modular. Our theory predicts that variationally modular organisms should exhibit stereotypical bi-phasic dynamics of genome evolution, especially in the strong clonal interference regime, and we find support for this prediction in metagenomic data from Lenski's long-term evolution experiment in bacterium Escherichia coli . We propose that module-selection balance is an inherent feature of variationally modular GPFMs, which imposes an important constraint on long-term trait evolution.},
}

@article {pmid41959466,
year = {2026},
author = {Sapoval, N and Treangen, TJ and Nakhleh, L},
title = {Leveraging spectrum of graph sheaf Laplacian as a genome-architecture-aware measure of microbiome diversity.},
journal = {bioRxiv : the preprint server for biology},
volume = {},
number = {},
pages = {},
doi = {10.64898/2026.03.10.710879},
pmid = {41959466},
issn = {2692-8205},
abstract = {MOTIVATION: Measures of microbial diversity that can be derived directly from metagenomic sequencing data offer a valuable summary view of the underlying complex systems. Prior work has shown that both taxonomic composition and abundances that are captured by standard diversity measures (e.g., Shannon entropy), and structural variation within the metagenome due to gene duplications, losses and horizontal transfers (HGT), can correlate with the host's health. However, there are no diversity measures available that simultaneously account for the genome architecture and taxonomic composition within the sample. Thus, in this work we propose the spectral energy of a graph sheaf Laplacian as such a measure, and justify its applicability through a simulation study and analysis of biological data.

RESULTS: First, we describe a theoretical framework that allows us to combine the features of genome graphs with the taxonomic data. Then, we explore the sensitivity of the proposed diversity measure to genome rearrangements and HGT events in a simulation study. Finally, we explore applicability of our proposed measure to characterization of diversity of human gut metagenomes. We find our proposed measure to offer better discrimination between healthy controls and inflammatory bowel disease (IBD) patients' samples (n = 403) in the cohorts analyzed.

https://github.com/nsapoval/bd-gsl.},
}

@article {pmid41959535,
year = {2026},
author = {Xue, J and Allaband, C and Zuffa, S and Zhou, D and Poulsen, O and Meadows, J and McDonald, D and Ambre, M and Ackermann, G and Birmingham, A and Cao, J and Mohanty, I and Dorrestein, PC and Knight, R and Haddad, GG},
title = {Farnesoid X receptor-dependent microbiome-bile acid signaling mediates obstructive sleep apnea-induced atherosclerosis.},
journal = {bioRxiv : the preprint server for biology},
volume = {},
number = {},
pages = {},
doi = {10.64898/2026.03.31.715631},
pmid = {41959535},
issn = {2692-8205},
abstract = {Intermittent hypoxia and hypercapnia (IHC), a hallmark of obstructive sleep apnea (OSA), accelerates atherosclerosis, yet the underlying mechanisms remain unclear. The gut microbiota and metabolites, specifically bile acids, change with IHC and thus the bile acid receptor farnesoid X receptor (FXR) might mediate IHC-induced atherosclerosis. In this study, ApoE [-/-] and ApoE [-/-] FXR [-/-] mice were exposed to IHC or room air and fed with a high-fat, high-cholesterol diet for 10 weeks. Markers of atherosclerosis, fecal microbiome, and metabolome were then examined via Sudan IV staining, absolute abundance shotgun metagenomics, and untargeted liquid chromatography tandem mass spectrometry (LC-MS/MS). IHC markedly increased aortic atherosclerosis in ApoE [-/-] mice, an increase that was abolished by FXR deficiency. In addition, IHC reshaped gut microbial composition, promoting enrichment of bile acid-modifying taxa and increasing levels of microbial hydroxysteroid dehydrogenase (hsdh). The bile acid pool was also remodeled and associated with aortic atherosclerosis via FXR-dependent metabolic signals in ApoE [-/-] mice. Knockout of FXR disrupted microbiome shift under IHC and uncoupled microbial bile acid metabolism from vascular lesion development, thereby protecting against aortic atherosclerosis. These findings show that FXR has a central role in linking IHC, microbial bile acid metabolism, and cardiovascular pathology.},
}

@article {pmid41959658,
year = {2026},
author = {Funauchi, A and Hashimoto, K and Fukushima, K and Matsumoto, Y and Hamada, N and Hara, R and Niitsu, T and Nii, T and Matsuki, T and Tsujino, K and Miki, K and Kumanogoh, A and Nakamura, S and Kida, H},
title = {Gastric Aspirate Isolate Demonstrates Strain-Level Concordance With Sputum Isolate in Nontuberculous Mycobacterial Pulmonary Disease.},
journal = {Open forum infectious diseases},
volume = {13},
number = {4},
pages = {ofag175},
pmid = {41959658},
issn = {2328-8957},
abstract = {The nontuberculous mycobacteria (NTM) isolated from gastric aspirate have demonstrated >85% strain concordance with those from the sputum, suggesting that they originate from the lungs rather than the environment. Gastric aspirate, although not yet internationally recognized, may be a useful supplementary specimen for diagnosing NTM pulmonary disease.},
}

@article {pmid41960427,
year = {2026},
author = {Nuanmuang, N and Leekitcharoenphon, P and Njage, PMK and Jirakkakul, J and Dulsawat, S and Tachaleat, A and Svendsen, CA and Møller, FD and Otani, S and Cheevadhanarak, S and Aarestrup, FM},
title = {Comparative resistome from toilet waste in three different income areas, Bangkok, Thailand.},
journal = {Frontiers in microbiology},
volume = {17},
number = {},
pages = {1790551},
pmid = {41960427},
issn = {1664-302X},
abstract = {Antimicrobial resistance (AMR) is a significant public health threat and is associated with millions of deaths worldwide each year. Besides antimicrobial usage, different socioeconomic factors have recently gained attention as being associated with increased AMR. Bangkok, a city with diverse income levels, provided a unique setting for this study, which aimed to explore the possible within-city association between income-level areas and the diversity and abundance of AMR. Twenty-seven toilet waste samples were collected from nine different sites (low-, middle-, and high-income) during March-April 2023, and metagenomic sequencing was performed. The sequencing data were quality checked, and sequences that passed quality control were mapped to antimicrobial, metal, and disinfectant resistance gene databases as well as bacterial taxonomy databases. We observed higher antibiotic resistance genes (ARGs), metal resistance, and disinfectant resistance abundance (fragments per kilobase per million mapped reads, FPKM) in low-income groups compared to middle- and high-income groups. This included both acquired ARGs and presumed intrinsic ARGs, including genes associated with completely novel antibiotics that have so far only been identified through functional cloning. Significant differences in individual ARGs were also observed between sites. Our study highlights the relative abundance of ARGs across different income groups, emphasizing how the development of resistance mechanisms revealed through metagenomic analysis can serve as a valuable tool for city-level surveillance of AMR from toilet waste, particularly in low-income settings.},
}

@article {pmid41960429,
year = {2026},
author = {Freund, L and Topacio, TM and Miao, Y and Porter, WC and Swenson, M and Maltz, M and Botthoff, J and Aronson, EL},
title = {Weather conditions structure the taxonomic and functional diversity of the aeolian dust microbiome.},
journal = {Frontiers in microbiology},
volume = {17},
number = {},
pages = {1691133},
pmid = {41960429},
issn = {1664-302X},
abstract = {INTRODUCTION: The aeolian dust microbiome is composed of uniquely adapted microorganisms that can withstand the harsh conditions of the atmosphere. Specific microbial taxa and survival strategies have been observed in dust microbiomes from around the world, yet the environmental processes that select for microbial composition and function are poorly understood.

METHODS: Here we explore the taxonomic and functional diversity of the aeolian dust microbiome from sites around the Salton Sea, a hypersaline lake in Southern California, and how dust sources and weather influenced the microbiome. Dust samples were collected from four locations around the Salton Sea in the summer and fall of 2020 and 2021, and 16S (V3-V4) rRNA amplicon sequencing and shotgun metagenomic sequencing was used to characterize the aeolian dust microbiome.

RESULTS: We observed significant differences in microbial composition between sites, and we were able to identify 13 microbial genera that were members of the core dust microbiome across samples. We also found that genes involved in sporulation, UV-radiation resistance, thermal resistance, osmotic stress resistance, quorum sensing, and antibiotic resistance were shared across the aeolian dust metagenomes. Lastly, local wind conditions and estimated dust source surface categories were significant predictors of the microbial adaptations we found in the aeolian dust metagenomes.

DISCUSSION: Our results demonstrate the ability of airborne dust microorganisms to readily adapt to their harsh environment and highlight the survival mechanisms that allow them to disperse across broad distances, thus posing a potential health risk to exposed communities.},
}

@article {pmid41960438,
year = {2026},
author = {Zhao, Z and Xiang, L and Liu, Y and Xu, S and Chen, Y and Yu, M},
title = {Rare fungal keratitis caused by plant pathogens: report of two cases and review of the literature.},
journal = {Frontiers in fungal biology},
volume = {7},
number = {},
pages = {1785252},
pmid = {41960438},
issn = {2673-6128},
abstract = {Macrophomina phaseolina and Colletotrichum fructicola are notable plant pathogens, yet cases of keratitis from these fungi are rarely reported. Limited awareness of this keratitis etiology among ophthalmic professionals reduces the likelihood of accurate diagnosis and timely treatment. This report aims to improve the understanding of these rare infections in eye care. We present two cases of keratitis: one caused by M. phaseolina and another by C. fructicola, both of whom experienced a complicated treatment course. Traditional fungal exams yielded negative results, which limited disease identification and focused therapy. To determine the cause, we used metagenomic next-generation sequencing (mNGS) on clinical samples obtained from corneal scrapings. The mNGS report was received during therapy and quickly identified the pathogen. Based on this, we looked for treatment regimens for this kind of infection in previous literature, altered and implemented appropriate antifungal drug therapy, and the patient's condition improved. We review the literature from 1970 to 2025 on M. phaseolina and Colletotrichum spp. keratitis. We identified 10 cases of M. phaseolina keratitis from four studies and 72 cases of Colletotrichum spp. keratitis, including five of C. fructicola, in 43 articles. Misdiagnosis was common due to limited clinical and microbiologic suspicion. The rise of infections by rare pathogens highlights diagnostic challenges. Traditional methods often delay accurate diagnosis, while mNGS enables rapid identification of pathogen, crucial for effective treatment and vision preservation.},
}

@article {pmid41960830,
year = {2026},
author = {Sun, S and Zhou, Y and Deng, F and Meng, Y and Zhu, X and Wang, H and Wei, D},
title = {Engineering an l-Threonine Aldolase from Staphylococcus epidermidis for Enhanced Diastereoselectivity in the Synthesis of a Chloramphenicol Intermediate.},
journal = {Journal of agricultural and food chemistry},
volume = {},
number = {},
pages = {},
doi = {10.1021/acs.jafc.6c01578},
pmid = {41960830},
issn = {1520-5118},
abstract = {l-Threonine aldolase (LTA) is an attractive biocatalyst for the synthesis of l-syn-p-nitrophenylserine (l-syn-1b), a key intermediate in chloramphenicol synthesis. However, low diastereoselectivity has limited its broader application in stereospecific C-C bond formation. To overcome this limitation, a metagenomic library constructed from non-natural amino acid-enriched environments was screened, leading to the identification of an LTA from Staphylococcus epidermidis (SeLTA) that exhibits the highest diastereoselectivity toward l-syn-1b among naturally occurring LTAs reported to date. To further enhance its diastereoselectivity, structural comparison, alanine scanning, and tunnel analysis were employed to identify hotspots that modulate the diastereoselectivity of SeLTA. Subsequent saturation mutagenesis and iterative saturation mutagenesis at these positions yielded the quadruple variant A176G/Y202S/N7C/F129E (Mut4), which increased the diastereoselectivity from 32.5%syn to 92.7%syn. Furthermore, Mut4 exhibits markedly improved diastereoselectivity toward para- and meta-substituted benzaldehyde derivatives. Molecular dynamics (MD) simulations further elucidated the molecular basis underlying the enhanced diastereoselectivity of Mut4. This study provides a potential biocatalyst for the sustainable and efficient synthesis of a chloramphenicol intermediate.},
}

@article {pmid41961352,
year = {2026},
author = {Cao, XY and Tian, JJ and Zhang, W and Chen, CL and Ma, H},
title = {Puerarin Alleviates Depression via Integrated Regulation of TLR4/MyD88/NF-κB Signaling and Gut Microbiota-Metabolic Axis.},
journal = {Neurochemical research},
volume = {51},
number = {2},
pages = {},
pmid = {41961352},
issn = {1573-6903},
}

@article {pmid41961522,
year = {2026},
author = {Song, W and Li, M and Yue, X and Meng, Y and Xie, Y and Zhang, Y and Hu, Y and Zheng, Y and Yue, X},
title = {Microbial succession and metabolic mechanisms driving flavor evolution in Northeast Chinese dajiang: a comprehensive review integrating insights from East Asian fermented soybean pastes.},
journal = {Critical reviews in food science and nutrition},
volume = {},
number = {},
pages = {1-22},
doi = {10.1080/10408398.2026.2644602},
pmid = {41961522},
issn = {1549-7852},
abstract = {This review systematically explores the spatiotemporal microbial succession and flavor evolution during the fermentation of northeast Chinese soybean paste (dajiang), with a focus on the jiangpei (solid-state starter) and jianglao (brine fermentation) stages. By integrating metagenomic, metabolomic, and sensory data, this review synthesizes evidence linking microbial community dynamics-featuring Lactobacillus spp., Zygosaccharomyces rouxii, and Aspergillus oryzae-to the biosynthesis of key flavor compounds. These include umami amino acids (e.g., glutamic acid, 1.5-2.0 g/kg), fruity esters (e.g., ethyl acetate, 124.67 μg/kg), and phenolic antioxidants. Cross-feeding interactions (e.g., yeast utilization of lactic acid for ester synthesis) and environmental stressors (12%-18% NaCl, 25 °C-30 °C) are shown to enhance flavor complexity by modulating metabolic pathways like amino acid degradation and lipid β-oxidation. Unlike prior studies focusing on fragmented fermentation stages, this review systematically addresses the full fermentation continuum, highlighting how aerobic-to-anaerobic transitions drive functional metabolite accumulation. The review concludes by outlining a roadmap to modernize dajiang production through standardized quality control, precision flavor modulation, and traditional process optimization, enabled by culturomics/MAGs, multi-omics integration, and AI-assisted fermentation monitoring and control.},
}

@article {pmid41961886,
year = {2026},
author = {Cosma, BM and Pillay, S and Calderón-Franco, D and Abeel, T},
title = {Predicted meta-omics: A potential solution to multi-omics data scarcity in microbiome studies.},
journal = {PloS one},
volume = {21},
number = {4},
pages = {e0345919},
doi = {10.1371/journal.pone.0345919},
pmid = {41961886},
issn = {1932-6203},
mesh = {Humans ; *Metagenomics/methods ; Machine Learning ; *Gastrointestinal Microbiome/genetics ; *Microbiota ; Inflammatory Bowel Diseases/microbiology ; Neural Networks, Computer ; Multiomics ; },
abstract = {Imbalances in the gut microbiome have been linked to conditions such as inflammatory bowel disease, diabetes, and cancer. While metagenomics and amplicon sequencing are commonly used to study the microbiome, they do not capture all layers of microbial functions. Other meta-omics data can provide more insights, but these are more costly and laborious to procure. The growing availability of paired meta-omics data offers an opportunity to develop machine learning models that can infer connections between metagenomics data and other forms of meta-omics data, enabling the prediction of these other forms of meta-omics data from metagenomics. We evaluated several machine learning models for predicting meta-omics features from various meta-omics inputs. Simpler architectures such as elastic net regression and random forests generated reliable predictions of transcript and metabolite abundances, with correlations of up to 0.77 and 0.74, respectively, but predicting protein profiles was more challenging. We also identified a core set of well-predicted features for each meta-omics output type, and showed that multi-output regression neural networks performed similarly when trained using fewer output features. Lastly, our experiments demonstrated that predicted features can be used for the downstream task of inflammatory bowel disease classification, with performance comparable to that of experimental data.},
}

Humans
*Metagenomics/methods
Machine Learning
*Gastrointestinal Microbiome/genetics
*Microbiota
Inflammatory Bowel Diseases/microbiology
Neural Networks, Computer
Multiomics

@article {pmid41962241,
year = {2026},
author = {Lin, Z and Pang, S and Xu, T and Zhou, YL and Zhang, C and Qian, PY and Zhang, S},
title = {Marine plastisphere expands the ecological niche and evolutionary dynamics of nrfA-dependent nitrite ammonifying bacteria.},
journal = {Water research},
volume = {299},
number = {},
pages = {125879},
doi = {10.1016/j.watres.2026.125879},
pmid = {41962241},
issn = {1879-2448},
abstract = {The marine plastisphere affects nitrogen cycling processes, but its role in nrfA-dependent nitrite ammonification, a critical phase of dissimilatory nitrate reduction to ammonium (DNRA) with important implications for nitrogen retention and greenhouse gas dynamics, remains unexplored. In this study, we analyzed 269 plastisphere metagenomes and eight metatranscriptomes from global public datasets. The plastisphere contained elevated nrfA levels compared to seawater, and nrfA transcripts were consistently detected. A total of 285 putative nrfA-dependent nitrite ammonifying bacteria were identified, including 156 novel genera. Most plastisphere MAGs overlapped with other examined marine biofilms, whereas 109 MAGs were uniquely detected in plastisphere samples within the analyzed comparative datasets. Functional studies revealed diverse electron-donor utilization strategies supporting DNRA in plastisphere microorganisms. Evolutionary analyses showed that nrfA genes were distributed across different phyla through horizontal gene transfer, whereas purifying selection limited sequence divergence. These findings highlight a previously underappreciated genetic and transcriptional potential for DNRA in plastic-associated biofilms at the particle scale, with implications for nitrogen retention within plastisphere microhabitats.},
}

@article {pmid41962374,
year = {2026},
author = {Zhou, LT and He, DH and Li, J and He, RX and Ma, SJ and Gong, GY and Zou, XS and Li, S and Zhou, YF and Hu, WJ},
title = {Dynamics and drivers of last-resort antibiotic resistance genes during pilot-scale aerobic fermentation of municipal sludge and subsequent bok choy pot trials.},
journal = {Journal of hazardous materials},
volume = {509},
number = {},
pages = {141891},
doi = {10.1016/j.jhazmat.2026.141891},
pmid = {41962374},
issn = {1873-3336},
abstract = {Sludge from wastewater treatment plants may exacerbate environmental dissemination of last-resort antibiotic resistance genes (LARGs) when applied to land. However, LARG behavior during aerobic sludge fermentation and subsequent soil-plant transfer remains poorly understood. This study specifically targeted LARGs beyond common ARGs and coupled pilot-scale fermentation with bok choy cultivation to resolve their dynamics and compartmentalization. Using metagenomic sequencing with correlation and network analyses, we identified environmental drivers and inferred potential hosts. Optimized fermentation conditions (maintaining >50 °C for 10 days) reduced moisture to 30%, lowered the C/N ratio to 24.7, and achieved germination indices of 85%-90%. Fermentation promoted microbial succession, enhanced metal passivation and organic matter humification, and reduced antibiotic and ARG abundance, with total antibiotic degradation reaching 49.19% in the thermophilic phase. LARG abundance increased by 47.6% in the mesophilic phase due to cell lysis and MGE release, then declined by 9.7% in the thermophilic phase and 47.8% during maturation. Although fermentation stabilized sludge, specific genes (e.g., KPC-22 and poxtA) rebounded, driven by horizontal gene transfer and physicochemical changes. Subsequent planting demonstrated that a 10%-15% sludge application rate optimized bok choy agronomic performance and improved soil antibiotic degradation. Across soil, rhizosphere, and phyllosphere, LARGs exhibited distinct compartmentalization patterns. Network analysis further indicated that LARGs were primarily associated with indigenous soil taxa (e.g., Streptomyces) rather than potential pathogens (e.g., Klebsiella). Consequently, the impact on the core transmission network was minor, suggesting that appropriately fermented sludge application presents a controllable ecological risk and supports its safe utilization under the studied conditions.},
}

@article {pmid41963033,
year = {2026},
author = {Tzora, A and Nikolaou, K and Lagkouvardos, I and Voidarou, C and Intze, E and Fotou, K and Skoufos, I},
title = {A novel classification system based on cheese microbial profiles for the assessment of cheese typicity.},
journal = {Food microbiology},
volume = {138},
number = {},
pages = {105049},
doi = {10.1016/j.fm.2026.105049},
pmid = {41963033},
issn = {1095-9998},
mesh = {*Cheese/microbiology/classification/analysis ; *Microbiota ; *Bacteria/classification/genetics/isolation & purification ; RNA, Ribosomal, 16S/genetics ; *Food Microbiology ; High-Throughput Nucleotide Sequencing ; Animals ; Milk/microbiology ; Phylogeny ; Greece ; },
abstract = {Cheese typicity reflects the unique characteristics influenced by raw ingredients, traditional tools employed, environmental and production conditions, the cheese-making process and the specific geographical region of origin. In the present study, the typicity of Greek cheeses was studied and compared with cheeses from various countries worldwide, based on microbiota profiles. The dataset included publicly available and 63 newly generated sequences, totaling 322 cheese samples, derived from seven different countries. The analysis incorporated next generation sequencing (NGS) technology, with Illumina sequencing of the 16S rRNA gene hypervariable regions V3-V4, followed by a standardized analytical pipeline process. Through de novo clustering, four main Cheese Microbial Profiles (CMP) - clusters and nine sub-clusters were identified. Core microbiota was identified within sub-clusters. The dominant bacterial genera were Lactobacillus in CMP1, Lactococcus in CMP2 and CMP3, and Streptococcus in CMP4. Distinct cheese types exhibited a statistically significant tendency for specific microbial profiles within clusters. However, no clear signatures of geographic origin were detected, nor were associations found between microbial communities and cheese production parameters such as cheese type, milk source, starter culture addition or milk pasteurization. Additionally, we developed a novel model capable of accurately classifying new cheese samples into clusters and sub-clusters, based on their bacterial ecological community structure. Our findings could support future initiatives, especially when combined with multi-omic approaches, to better identify cheese typicity, verify authenticity, potentially trace geographical origin, and ultimately enhance the quality and safety of cheeses.},
}

*Cheese/microbiology/classification/analysis
*Microbiota
*Bacteria/classification/genetics/isolation & purification
RNA, Ribosomal, 16S/genetics
*Food Microbiology
High-Throughput Nucleotide Sequencing
Animals
Milk/microbiology
Phylogeny
Greece

@article {pmid41963036,
year = {2026},
author = {Hou, J and Li, Y and Liu, M and Li, L and Chen, H and An, Y and Xu, H and Yao, Y},
title = {Antibiotic resistance genes (ARGs) in rice: Source attribution and putative mobility patterns.},
journal = {Food microbiology},
volume = {138},
number = {},
pages = {105055},
doi = {10.1016/j.fm.2026.105055},
pmid = {41963036},
issn = {1095-9998},
mesh = {*Oryza/microbiology/genetics ; *Bacteria/genetics/drug effects/classification/isolation & purification ; Phylogeny ; Metagenomics ; Anti-Bacterial Agents/pharmacology ; Soil Microbiology ; Seeds/microbiology ; Microbiota ; Metagenome ; *Genes, Bacterial ; *Drug Resistance, Microbial/genetics ; },
abstract = {Rice grains can harbor antibiotic resistance genes (ARGs), yet the relative roles of seed-associated and environmental reservoirs remain unclear. We used shotgun metagenomics on rice tissues (grain, seed, leaf, stem, root) and surrounding matrices (bulk/rhizosphere soil, irrigation water, rainwater, PM10). In total, 1019 ARG subtypes were detected; grains contained 395, the largely overlapping with seeds (290) and environmental samples (322). FEAST source tracking revealed contrasting attribution patterns: seed sources explained nearly half of the grain microbiome (average contribution 49.49%) versus 8.45% from environmental sources, whereas environmental sources contributed more strongly to the grain resistome (20.68%). 747 metagenome-assembled genomes (MAGs) were reconstructed, including 275 ARG-carrying MAGs. Phylogenetic screening identified 39 near-identical (≥99%) ARG linkages across samples, operationally classified by host consistency (same vs different predicted hosts) into 11 putative VGT-like and 28 putative HGT-like patterns. For example, blaGOB-50 in grains and seeds shared near-identical sequences within Elizabethkingia anopheles (VGT-like), while APH(9)-Ic in grains (Burkholderia) matched PM10 (Comamonas), consistent with an HGT-like linkage. In selected cases, ARG-MGE co-localization (e.g., umuC, cca) further supported mobility interpretations. Together, these results indicate seedborne signatures in the grain microbiome but comparatively stronger environmental association for the grain resistome, informing efforts to trace ARG reservoirs in rice systems.},
}

*Oryza/microbiology/genetics
*Bacteria/genetics/drug effects/classification/isolation & purification
Phylogeny
Metagenomics
Anti-Bacterial Agents/pharmacology
Soil Microbiology
Seeds/microbiology
Microbiota
Metagenome
*Genes, Bacterial
*Drug Resistance, Microbial/genetics

@article {pmid41963043,
year = {2026},
author = {Liu, G and Zhong, J and Yang, D and Zeng, Y and Cao, R and He, S and Bai, W and Qu, C},
title = {The mechanisms underlying ester enhancement and higher alcohol reduction in Chi-flavor base liquor brewing via Limosilactobacillus fermentum fortification: A multi-omics investigation.},
journal = {Food microbiology},
volume = {138},
number = {},
pages = {105070},
doi = {10.1016/j.fm.2026.105070},
pmid = {41963043},
issn = {1095-9998},
mesh = {Fermentation ; *Limosilactobacillus fermentum/metabolism/genetics/isolation & purification ; *Alcoholic Beverages/microbiology/analysis ; *Esters/metabolism/analysis ; *Flavoring Agents/metabolism/analysis ; Saccharomyces cerevisiae/metabolism/genetics ; Acetates/metabolism/analysis ; *Alcohols/metabolism/analysis ; Ethanol/metabolism/analysis ; Lactates/metabolism/analysis ; Taste ; Bacteria/genetics/classification/isolation & purification/metabolism ; Multiomics ; },
abstract = {Chi-flavor Baijiu is a unique liquor in the Pearl River Delta region. Ethyl lactate is the key flavor with low content in base liquor, affecting qualities of Chi-flavor Baijiu. To address this issue, Limosilactobacillus fermentum Y8 (Y8) isolated from sour mash, was used to fortify the fermentation. Results showed that contents of ethyl acetate and ethyl lactate reached to 663.55 mg/L and 604.25 mg/L, increased by 334.97% and 331.26%, respectively, with that of ethanol unchanged and main higher alcohols reduced significantly. Metagenomic analysis revealed that Lactiplantibacillus, Limosilactobacillus, Pediococcus, Levilactobacillus, and Lactobacillus were the top five abundance species. Metatranscriptomic data indicated that Saccharomyces cerevisiae, Lactobacillus brevis and L. fermentum were the dominant active species, the succession of which was significantly influenced by Y8 addition. Correlation analysis revealed that L. fermentum was positively related to reducing sugar, total acid and esters, while negatively to higher alcohols. Based on metatranscriptomic analysis, a new pathway for lactate synthesis from lactaldehyde was found with Y8 fortification, along with acyl-CoA thioester hydrolase gene ybgC upregulated significantly, providing more precursors for ester synthesis. At the same time, enzymes related to ester synthesis were upregulated with that of higher alcohols downregulated. Collectively, Y8 fortification could affect the succession of microbiota and promote the synthesis of ester precursors and ester synthesis pathway, and decrease higher alcohols synthesis pathway. This study not only provides a strain to fortify Chi-Flavor Baijiu brewing with improved qualities but also reveals mechanisms of flavor modulation and microbial community succession during the brewing process.},
}

Fermentation
*Limosilactobacillus fermentum/metabolism/genetics/isolation & purification
*Alcoholic Beverages/microbiology/analysis
*Esters/metabolism/analysis
*Flavoring Agents/metabolism/analysis
Saccharomyces cerevisiae/metabolism/genetics
Acetates/metabolism/analysis
*Alcohols/metabolism/analysis
Ethanol/metabolism/analysis
Lactates/metabolism/analysis
Taste
Bacteria/genetics/classification/isolation & purification/metabolism
Multiomics

@article {pmid41963048,
year = {2026},
author = {Diaz, M and Wilson, N and Ponsero, AJ and Seecharran, T and Som, N and Al-Khanaq, H and Gutiérrez, AV and Gilmour, M},
title = {Microbial community succession and functional potential during processing and storage of cooked ham assessed by shotgun metagenomics.},
journal = {Food microbiology},
volume = {138},
number = {},
pages = {105075},
doi = {10.1016/j.fm.2026.105075},
pmid = {41963048},
issn = {1095-9998},
mesh = {Metagenomics ; *Bacteria/classification/genetics/isolation & purification/metabolism ; Animals ; Swine ; Food Storage ; *Meat Products/microbiology/analysis ; Cooking ; *Microbiota ; Food Microbiology ; Food Handling ; },
abstract = {Wet-cured ham is a ready-to-eat meat product in which microbial communities contribute to desired product characteristics related to product quality, while also presenting as a spoilage risk. Microorganisms are introduced early during the live brining of raw meat, with the brine representing a long-standing, complex and active culture that influences nitrate generation, preservation, and flavour development. To support quality control and identify early indicators of spoilage, this study investigated taxonomic and functional microbiome changes across production stages, from brining and cooking to cold storage, slicing, and packaging under modified atmosphere. Using metagenomics, we characterised microbial community composition and functional profiles across 67 samples from raw ingredients, intermediate production steps, and final products. Microbial communities differed significantly between stages, despite sharing a related taxonomic structure. Brining markedly reduced diversity, and cooking further decreased richness and evenness. A set of 28 taxa was consistently detected across stages, though their relative abundance varied. Latilactobacillus curvatus was abundant prior to cooking but declined sharply afterwards, while Arthrobacter rhombi, initially rare, became dominant in the cooked product. During chilled storage, microbial succession continued, with some taxa re-emerging after being nearly eliminated by cooking. Functional gene profiling revealed distinct metabolic pathway shifts across stages, particularly involving respiration, amino acid metabolism, and fermentation. These findings provide a detailed baseline of microbial and functional dynamics in the production and storage of wet-cured ham. The results offer a foundation for spoilage risk assessment and contribute to the development of microbiological monitoring strategies to support product safety and shelf-life management.},
}

Metagenomics
*Bacteria/classification/genetics/isolation & purification/metabolism
Animals
Swine
Food Storage
*Meat Products/microbiology/analysis
Cooking
*Microbiota
Food Microbiology
Food Handling

@article {pmid41963049,
year = {2026},
author = {Zhai, WT and Zhao, H and Chai, LJ and Zhang, W and Zhang, XJ and Lu, ZM and Gao, CQ and Si, GR and Zhang, WQ and Wang, ST and Shen, CH and Xu, ZH},
title = {Microbial and environmental determinants of 1-propanol biosynthesis in Jiang-flavor Baijiu fermentation.},
journal = {Food microbiology},
volume = {138},
number = {},
pages = {105076},
doi = {10.1016/j.fm.2026.105076},
pmid = {41963049},
issn = {1095-9998},
mesh = {Fermentation ; *Flavoring Agents/metabolism ; *1-Propanol/metabolism ; *Wine/microbiology/analysis ; *Yeasts/metabolism/genetics/classification/isolation & purification ; *Bacteria/metabolism/genetics/classification/isolation & purification ; Temperature ; Metagenomics ; Saccharomyces cerevisiae/metabolism ; Hydrogen-Ion Concentration ; },
abstract = {1-Propanol is a crucial flavor compound in Jiang-flavor Baijiu, yet the key microbial pathways and environmental factors controlling its synthesis have not been systematically investigated. Using an integrated approach of metagenomics and culture-dependent techniques, this study identified the key microbes, pathways, and factors controlling 1-propanol synthesis. The highest 1-propanol level was detected in first-round base Baijiu, with rapid accumulation during early pit fermentation. Metagenomics revealed the propanoate pathway as the dominant route, primarily contributed by Limosilactobacillus, while Pichia and Saccharomyces were key providers of pyruvate decarboxylase in the citramalate and threonine pathways. Pure-culture validation confirmed that L. panis MR32 predominantly utilizes 1,2-propanediol as the precursor, while yeasts such as P. kudriavzevii 2J2 and S. cerevisiae LB7A prefer the 2-ketobutyrate pathway. Environmental tests revealed optimal 1-propanol production by L. panis MR32 at pH 5.5 and increasing yields with temperature (25-45 °C). In contrast, most yeasts produced the most 1-propanol at 30 °C, beyond which yields declined, with only P. kudriavzevii 2J2 and I. orientalis IO tolerating high lactic acid. Our findings clarify the microbial division of labor and environmental drivers of 1-propanol formation, enabling targeted fermentation control.},
}

Fermentation
*Flavoring Agents/metabolism
*1-Propanol/metabolism
*Wine/microbiology/analysis
*Yeasts/metabolism/genetics/classification/isolation & purification
*Bacteria/metabolism/genetics/classification/isolation & purification
Temperature
Metagenomics
Saccharomyces cerevisiae/metabolism
Hydrogen-Ion Concentration

@article {pmid41963512,
year = {2026},
author = {Matoba, R and Iijima, H and Sakamoto, Y and Kawabata, R and Ishiguro, A and Akamaru, Y and Kito, Y and Aizawa, M and Matsuyama, J and Takahashi, M and Makiyama, A and Suzuki, T and Tsuda, M and Yasui, H and Hihara, J and Okuda, H and Kawada, J and Yoshioka, T and Kawakami, H and Eguchi Nakajima, T and Muro, K and Ichikawa, W and Fujii, M and Sunakawa, Y},
title = {Metabolic and functional pathways of gut microbiota in patients with gastric cancer.},
journal = {Scientific reports},
volume = {},
number = {},
pages = {},
doi = {10.1038/s41598-026-47830-x},
pmid = {41963512},
issn = {2045-2322},
abstract = {We analysed the differences in bacterial composition between 475 Japanese patients with advanced gastric cancer (median age, 70 years; median BMI 20.0) and 106 healthy individuals using a comprehensive metagenome shotgun analysis. Among the patients with advanced gastric cancer, 71% were male, 37% had relapsed, and 55.5% previously underwent gastrectomy. Bifidobacterium, Anaerostipes, and Parabacteroides were predominant in healthy individuals, whereas Streptococcus, Lactobacillus, and Odoribacter were predominant in patients with advanced gastric cancer. Additionally, Kyoto Encyclopedia of Genes and Genomes pathway analysis showed that butanoate and pyruvate metabolism was enriched in healthy individuals, whereas factors, such as ABC transporters and ribosomes, were enriched in patients with advanced gastric cancer. Cluster analysis broadly classified patients with advanced gastric cancer and healthy individuals into two clusters; however, clustering using pathway data more clearly classified patients with advanced gastric cancer and healthy individuals than clustering using flora analysis. Moreover, healthy individuals showed higher bacterial flora diversity than those with advanced gastric cancer. Although the dataset we used was limited and may be difficult to generalise, we identified some molecular characteristics and functional pathways of the microbial genera within the intestines of patients with advanced gastric cancer.},
}

@article {pmid41963805,
year = {2026},
author = {Roslan, MF and Saad, MFM and Pau, SSN and Basir, S and Aziz, H and Akbar, MA and Bunawan, H},
title = {Bacterial community profiling of Malaysian drinking water reservoirs using metagenomic amplicon sequencing.},
journal = {BMC genomic data},
volume = {},
number = {},
pages = {},
doi = {10.1186/s12863-026-01422-w},
pmid = {41963805},
issn = {2730-6844},
}

@article {pmid41963968,
year = {2026},
author = {Zhou, N and Liu, J and Zhang, X and Xiao, G and Zhang, M},
title = {Vitamin K2 emerges as the key mediator: Cetobacterium somerae ZNN-1 increases muscle protein deposition and improves liver health in Nile tilapia (Oreochromis niloticus).},
journal = {Journal of animal science and biotechnology},
volume = {17},
number = {1},
pages = {},
pmid = {41963968},
issn = {1674-9782},
support = {32373145//National Natural Science Foundation of China/ ; },
abstract = {BACKGROUND: Cetobacterium somerae (C. somerae) is a common indigenous bacterium in the intestine of freshwater fish. Studies have shown that it has the potential to promote protein deposition, but the underlying mechanisms remain unclear.

RESULTS: Nile tilapia were fed with C. somerae ZNN-1 (10[8] CFU/g feed), which significantly increased the carcass ratio, reduced the hepatosomatic index, and decreased whole-body lipid content. Supplementation of C. somerae ZNN-1 significantly increased the crude protein content in muscle, promoted glucose uptake and utilization in muscle tissue, and activated the phosphorylation of S6K/S6 in muscle tissue. C. somerae ZNN-1 supplementation significantly decreased hepatic total lipid, triglyceride, and free fatty acid contents. Further analysis revealed that C. somerae ZNN-1 supplementation markedly activated the phosphorylation of hepatic AMPK and upregulated the expression of genes involved in hepatic lipolysis and fatty acid β-oxidation. Integrated serum metabolomic, bacterial genomic, and gut metagenomic analyses revealed that C. somerae ZNN-1 synthesized chorismate (CHA), which serves as a precursor for gut microbiota to produce vitamin K2 (VK2). In vitro experiments demonstrated that VK2 activated the S6K/S6 pathway to promote protein synthesis, while stimulating AMPK phosphorylation and activating lipid catabolism to reduce fat accumulation.

CONCLUSIONS: These findings provide a theoretical basis for the application of C. somerae ZNN-1 in enhancing edible protein content and reducing fat deposition of aquatic animals.},
}

@article {pmid41964024,
year = {2026},
author = {Sosef, NP and Boxman, ILA and Dirks, RAM},
title = {Evaluation of two virome probe hybridization capture panels for food safety surveillance.},
journal = {Virology journal},
volume = {},
number = {},
pages = {},
doi = {10.1186/s12985-026-03159-5},
pmid = {41964024},
issn = {1743-422X},
support = {WOT Food Safety Enforcement 002//Dutch Food and Consumer Product Safety Authority/ ; },
abstract = {In recent years, viromics has received growing attention for viral disease surveillance. This study set out to compare the VirCapSeq-VERT panel and the Comprehensive Viral Research Panel (CVR Panel) for probe hybridization capture of viral nucleic acids in oyster extracts, a main vehicle for the transmission of foodborne viruses. Using ten-fold serial dilutions of human norovirus (hNoV) GI.2 and GII.4 spike-in oyster extracts, both hybridization capture panels achieved detection levels down to 14 genome copies (gc) for hNoV GI.2 and 5 gc for hNoV GII.4. For hNoV GI.2, a genome coverage of ≥ 95% was achieved at 59 gc using the CVR Panel, whereas 724 gc were required for a similar coverage using VirCapSeq-VERT. For hNoV GII.4, a genome coverage of ≥ 97% was achieved at 87 gc with either panel. Next, the hybridization capture performance was compared for a mixture of various foodborne viruses (hNoV GI.2, hNoV GI.3, hNoV GII.4, hepatitis A virus and hepatitis E virus) in the absence of matrix and in the presence of oyster matrix. Sensitive detection of all added viruses was observed at low input levels (less than 200 gc/constructed library) in oyster extract. Taken together, the CVR Panel seems as good as, or slightly more sensitive than, VirCapSeq-VERT for the viruses tested. The availability of various viral enrichment panels, together with foreseen improvements regarding the cost-effectiveness and accessibility, is poised to facilitate broad hazard assessment and genomic profiling techniques in food virology, thereby enhancing food safety and improving early warning.},
}

@article {pmid41964077,
year = {2026},
author = {Hernandez, LK and DiDonato, N and Pasa-Tolic, L and Chuckran, PF and Firestone, MK and Sieradzki, ET and Yuan, MM and Estera-Molina, K and Kimbrel, J and Dijkstra, P and Banfield, JF and Pett-Ridge, J and Blazewicz, SJ},
title = {Reduced legacy precipitation decreases microbial community growth efficiency and alters soil organic carbon in a California grassland.},
journal = {Microbiome},
volume = {},
number = {},
pages = {},
doi = {10.1186/s40168-026-02395-9},
pmid = {41964077},
issn = {2049-2618},
support = {DE-SC0020163//U.S. DOE Biological and Environmental Research Award/ ; SCW1589//U.S. DOE Biological and Environmental Research Award/ ; SCW1632//U.S. DOE Office of Biological and Environmental Research Genomic Science Program/ ; },
abstract = {BACKGROUND: Changes in global patterns can leave a lasting legacy in semiarid grasslands by reshaping microbial growth dynamics and carbon cycling during the first wet-up in the autumn-a period known for intense microbial activity and significant carbon emissions. To study the lasting impacts of decreased winter rain, we implemented two precipitation regimes (100% vs. 50% mean annual precipitation) in California Mediterranean-climate grassland field plots. After the dry season, soils were rewetted in the laboratory with H2[18]O and sampled at 0 h, 3 h, 24 h, 48 h, 72 h, and 168 h post rewet. We quantified CO2 efflux, measured microbial growth and mortality via quantitative [18]O stable isotope probing and 16S rRNA gene amplicon sequencing, and characterized the soil organic carbon chemical composition, metagenomes, and metatranscriptomes.

RESULTS: We found that reduced winter precipitation imposed a strong legacy effect on microbial turnover; despite maintaining similar respiration rates, microbial growth declined by ~1 order of magnitude, yielding decreased community growth efficiency (CGE = new biomass growth/respiration), and microbial mortality declined by ~2 orders of magnitude. Soil organic carbon also shifted from lipid-like, amino-sugar-like, and protein-like compounds (indicative of microbial necromass) to more oxidized lignin-like and tannin-like compounds (indicative of decomposing plant-derived compounds). Meta-omics revealed distinct metabolic strategies linked to CGE. At high-CGE, microbes appeared to consume more energetically favorable N-rich necromass (released via high microbial turnover); this allowed for increased amino acids and peptidoglycan biosynthesis and greater aromatic compound degradation, fueling further energy production and growth efficiency. At low CGE, communities had elevated carbohydrate metabolism and lipid turnover, consistent with increased investment in plant detritus degradation and membrane repair and maintenance rather than growth.

CONCLUSIONS: Together, our findings demonstrate that reduced winter rainfall decreases microbial turnover following rewetting without a concurrent reduction in CO2 emissions. This shift results in persistently lower CGE, which has the potential to increase soil carbon loss as CO2. If such conditions are maintained over multiple years, these changes could reshape soil organic carbon stocks and alter the balance of grassland ecosystems under future climate scenarios. While our data suggest that sustained reductions in CGE may drive SOC decline, the magnitude and persistence of these effects depend on long-term environmental dynamics and warrant further investigation. Video Abstract.},
}

@article {pmid41964107,
year = {2026},
author = {Zhang, Z and Chen, C and Zhang, M and Zhu, J and Xu, X and Wang, Z and Zhou, L and Wu, C and Zong, M and Yin, T and Cao, Z and Gao, A and Zhang, C and Su, T and Jiang, L and Zhou, W and Zhou, W and Zhou, Y and Wang, J and Ning, G and Jiang, Y and Liu, R and Wang, W},
title = {Gut microbiota signatures in primary aldosteronism and functional identification of an aldosterone-degrading gut bacterium.},
journal = {Gut microbes},
volume = {18},
number = {1},
pages = {2657047},
doi = {10.1080/19490976.2026.2657047},
pmid = {41964107},
issn = {1949-0984},
abstract = {Primary aldosteronism (PA), a major cause of secondary hypertension, is characterized by autonomous aldosterone overproduction. Although the gut microbiota is closely linked to blood pressure regulation, its role in PA remains unclear. We performed metagenomic sequencing on fecal samples from 13 patients with essential hypertension (EH), 57 with unilateral PA (UPA), and 51 with bilateral PA (BPA). Despite comparable overall microbial diversity, gut microbial compositional differences were observed among EH and PA subtypes, particularly at finer taxonomic levels. We next identified 39 microbial species that were positively associated with plasma aldosterone concentration (PAC), and 29 that were negatively associated. In the co-abundance network, Ruminococcus gnavus emerged as one of the top three central nodes and was negatively correlated with PAC. Functionally, R. gnavus efficiently degraded aldosterone and multiple natural steroid hormones in vitro, and aldosterone degradation was accompanied by the generation of 3α,5β-tetrahydroaldosterone. R. gnavus-colonized germ-free mice showed reduced fecal aldosterone levels and downregulated expression of aldosterone downstream genes in the intestine. In an aldosterone infusion model, R. gnavus similarly decreased fecal aldosterone and improved systolic blood pressure (SBP) and serum potassium. Logistic regression further revealed that the presence of R. gnavus was associated with lower odds of having a historical highest SBP ≥ 160 mmHg in patients with PA. Collectively, this study reveals different gut microbial signatures in PA and highlights the aldosterone-metabolizing capacity and blood pressure regulation of R. gnavus. These findings advance our understanding of gut microbiota-steroid hormone interactions in PA and provide a basis for exploring microbiota-based stratification and intervention strategies in steroid hormone-related conditions.},
}

@article {pmid41764595,
year = {2026},
author = {Martínez-Murcia, A and Navarro, A and Miró-Pina, C and García-Sirera, A and Pérez, L and García-Román, V and Navarro-Gracia, JF},
title = {Early detection of nosocomial pathogens in air and surfaces using an innovative genetic approach for surveillance in healthcare settings.},
journal = {Antimicrobial resistance and infection control},
volume = {15},
number = {1},
pages = {},
pmid = {41764595},
issn = {2047-2994},
support = {INNCAD/2022/23//AVI/ ; },
abstract = {BACKGROUND: Healthcare-associated infections remain a major cause of morbidity, mortality, and financial burden worldwide, further exacerbated by the emergence of antimicrobial resistance. Environmental reservoirs of pathogens, including air and surfaces, play a critical role in nosocomial transmission. This study aimed to validate an integrated air and surface molecular surveillance system for the early detection of clinically relevant pathogens and resistance genes in hospital environments.

METHODS: Weekly air and surface samples were collected over 28 weeks from two hospitals in southeastern Spain. DNA and RNA were extracted and analysed by quantitative PCR (qPCR) targeting bacterial, fungal, and viral pathogens, as well as antimicrobial resistance genes. A subset of samples underwent shotgun metagenomic sequencing to confirm qPCR results and characterize microbial communities. Environmental findings were compared with clinical infection data from both hospitals.

RESULTS: Viral, bacterial and fungal pathogens were detected with similar patterns between air and surface samples and between hospitals. Carbapenem resistance genes showed distinct distribution profiles between hospitals. Respiratory viruses displayed strong temporal correlations with patient admissions, with viral RNA occasionally detected before clinical peaks.

CONCLUSIONS: This integrated molecular surveillance system allows sensitive detection of pathogens and resistance genes in hospital environments. Coupling air and surface sampling with qPCR provides a robust tool for identifying contamination sources and tracking temporal infection trends. Its scalability and adaptability make it suitable for implementation as an early warning system in infection prevention programmes, enhancing patient safety and supporting proactive control of nosocomial infections.

SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13756-026-01725-8.},
}

@article {pmid41771971,
year = {2026},
author = {Deng, S and Wu, X and Xu, W and Wu, X and Cai, H and Wang, S and Liu, J and Cao, J},
title = {Multi-dimensional immunoprotection of Ganoderma lucidum spore oil in immunosuppressed mice via microbiome-proteome-metabolome network analysis.},
journal = {Scientific reports},
volume = {16},
number = {1},
pages = {},
pmid = {41771971},
issn = {2045-2322},
support = {JCYJ20220530153201003//Science and Technology Planning Project of Shenzen Municipality/ ; GDRC202119//Natural Science Foundation of Top Talent of SZTU/ ; 82104362//National Natural Science Foundation of China/ ; 20211063010055//Research Founding of Post-doctor who came to Shenzhen/ ; SDAIT-20-05//Shandong Province Traditional Chinese Medicine Industry Project/ ; 2022ZDJS119//Guangdong Province Key Discipline Construction Research Project/ ; },
abstract = {UNLABELLED: Ganoderma lucidum has a long-standing history of use as a medicinal mushroom, with its spore oil (GLSO) extracted from broken cell walls using CO2 supercritical extraction. However, there is a notable scarcity of experimental studies on the protective effects and underlying mechanisms of GLSO on immune function impairment. The present study aims to explore the characteristics that GLSO contributes to protecting immune functions in cyclophosphamide-induced immunocompromised mice through a multi-omics analysis approach. GLSO administration significantly improved serum hemolysin levels, macrophage phagocytosis, and NK cell activity in immunosuppressed mice. Metagenomics, metabolomic, and proteomic analyses revealed that the immune protection mediated by GLSO was associated with structural rearrangements within gut microflora and shifts in microbial diversity. Specifically, there was an increase in beneficial microorganisms and a decrease in pathogenic organisms, accompanied by various alterations in metabolites and protein expressions. The identified 5 metabolites (propionic acid, beta-glycyrrhetinic acid, 3-aminosalicylic acid, creatine, and 2-phenylacetamide) and 5 proteins (Slc9a9, Blm, Hk3, AP1M2, and J chain) might serve as potential mediators of GLSO to alleviate immune dysfunction collectively caused by CYP in immunosuppressed mice.

SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1038/s41598-026-40137-x.},
}

@article {pmid41935036,
year = {2026},
author = {Larsson, DGJ and Flach, CF and Kristiansson, E},
title = {Antibiotic resistance gene analyses in microbial communities: challenges and opportunities.},
journal = {Nature communications},
volume = {17},
number = {1},
pages = {},
pmid = {41935036},
issn = {2041-1723},
support = {2022-00945//Vetenskapsrådet (Swedish Research Council)/ ; },
abstract = {Culture-independent antibiotic resistance gene analyses enable broad explorations of microbial communities but often fail to link such genes to bacterial hosts and genetic contexts. This makes assessing prevalence of resistant pathogens and likelihood of further transmission or resistance evolution uncertain.},
}

@article {pmid41952168,
year = {2026},
author = {Shen, Y and Qu, S},
title = {Ganciclovir for severe neonatal varicella pneumonia when acyclovir is unavailable: a case report.},
journal = {Virology journal},
volume = {},
number = {},
pages = {},
doi = {10.1186/s12985-026-03142-0},
pmid = {41952168},
issn = {1743-422X},
abstract = {BACKGROUND: Perinatal varicella is a rare and severe condition with a high mortality rate, particularly when it leads to complications such as pneumonia in neonates. Acyclovir is the standard treatment for varicella-zoster virus (VZV) infections; however, limited options exist when it is unavailable. This case report describes the successful treatment of neonatal varicella pneumonia with ganciclovir and provides insights into its potential as an alternative therapy. A female Asian neonate was admitted to our hospital on the 9th day of life with a rash, fever, and respiratory distress. Her mother developed varicella at 39 weeks of pregnancy, four days before delivery. The infant was diagnosed with VZV pneumonia based on clinical presentation and confirmed by detection of VZV DNA in blood(metagenomic next-generation sequencing detected 109,491 sequences with 100% relative abundance and 99% confidence).

INTERVENTION: Ganciclovir 5 mg/kg every 12 h for 8 days; intravenous immunoglobulin 400 mg/kg once daily for 3 days.

OUTCOME: The infant was successfully weaned off mechanical ventilation, with normalized blood gas parameters (PaO₂/FiO₂ ratio 346) and inflammatory markers (CRP decreased from 29.44 mg/L to 2.87 mg/L). She was discharged home with stable breathing and crusted skin lesions. Telephone follow-up at 2 and 4 weeks post-discharge confirmed the infant remained well with no respiratory symptoms or developmental concerns.

CONCLUSION: Ganciclovir may serve as a life-saving alternative for severe neonatal VZV pneumonia when acyclovir is unavailable. This case highlights the need for further research to establish its safety, optimal dosing, and efficacy in this population.},
}

@article {pmid41953110,
year = {2026},
author = {Craddock, HA and Motro, Y and Winner, KM and Lotem-Michaeli, Y and Segal, E and Godneva, A and Grinstein, D and Moran-Gilad, J},
title = {Metagenomic analysis of antimicrobial resistance genes in domestic canines.},
journal = {One health (Amsterdam, Netherlands)},
volume = {22},
number = {},
pages = {101380},
pmid = {41953110},
issn = {2352-7714},
abstract = {A One Health approach is critical to addressing the spread of antimicrobial resistance (AMR). A key source of AMR in humans is companion animals, particularly canines. Recent investigation has shown that the canine fecal microbiome is rich in antimicrobial resistant genes (ARGs), yet few studies have studied the resistome of working canines. Our objective was to investigate the resistome of canines to elucidate associations between various exposures and demographic factors and ARG carriage. We performed resistome and microbiome analyses on previously-generated metagenomic sequence data from 126 Israeli working canines and 147 global canines. We found that the canine microbiome and resistome varied significantly with country of origin, and the resistome varied significantly with gastrointestinal disease state, canine job type, and microbiome composition. Tetracycline resistant genes were the most dominant across all canines. Extended-spectrum beta lactamase (ESBL) genes were observed in up to 33% of canines. Genes of concern, including potential carbapenemases (blaOXA-181 and blaOXA-347) and colistin resistance genes (mcr-10) were infrequently observed. The Inc family of plasmids, typically associated with ESBL genes, were frequently detected. Altogether our research suggests that canines, including working dogs, are a potential source of ARGs and plasmids which carry ARGs. Importantly, the abundance and identity of these ARGs is associated with various potentially modifiable factors such as microbiome composition. As canines are an important human exposure within the One Health paradigm, future work is necessary to understand the risk and transmission dynamics of ARGs between humans and their companion canines.},
}

@article {pmid41953529,
year = {2026},
author = {Brown, JR and Ross, CS and Worth, A and Merve, A and Storey, N and Hacohen, Y and Mankad, K and Kaliakatsos, M and Shendi, HM and Atkinson, L and Gilmour, K and Hatcher, J and Lennon, A and Bamford, A and Kusters, M and Elfeky, R and Núñe, A and Brown, IH and Reid, SM and Cooper, J and Byrne, AMP and James, J and Lean, FZ and Banyard, AC and Breuer, J},
title = {Identifying virulent avian paramyxovirus type-1: A paediatric case of progressive encephalitis diagnosed by clinical metagenomics with case series review.},
journal = {IDCases},
volume = {44},
number = {},
pages = {e02555},
pmid = {41953529},
issn = {2214-2509},
abstract = {BACKGROUND: Immunocompromised patients presenting with encephalitis can present a diagnostic conundrum as infection can be caused by a broad range of pathogens, many of which are not detected by standard of care testing pathways. Untargeted metagenomics has proven utility in the diagnosis of such infections, particularly for immunocompromised patients.

METHODS: An immunosuppressed adolescent presented with idiopathic progressive muscle weakness resulting in respiratory failure, 16 years after haematopoeitic stem cell transplant for familial haemophagocytic lymphohistiocytosis type 5. Clinical and radiological findings suggested a diagnosis of isolated central nervous system haemophagocytic lymphohistiocytosis, however the patient demonstrated no improvement on immunosuppressive therapy. Untargeted metagenomics was performed on brain biopsy tissue.

RESULTS: Clinical metagenomics detected avian paramyxovirus 1 (APMV-1) in the brain tissue 12 days after biopsy, confirmed by targeted PCR and immunohistochemistry. The metagenomics results guided treatment; immunosuppression was stopped and medication with potential activity against RNA viruses started. The patient died 8 months after symptom onset.

CONCLUSIONS: We describe the third published case of fatal encephalitis caused by APMV-1, detectable only in brain parenchyma and only by clinical metagenomics, demonstrating the utility of brain biopsy and metagenomics when investigating encephalitis in immunocompromised patients. Case series review suggests profoundly immunocompromised patients are at risk of severe infection caused by AMPV-1.},
}

@article {pmid41953658,
year = {2026},
author = {Song, J and Li, Y and Wang, L and Zhang, J and Shi, C and Zhong, L and Liu, C and Song, M and Yu, X and Zhang, W and Wen, P},
title = {Comparative study of the physicochemical properties, volatile compounds, and bacterial microbiota in commercial and traditional yak yogurt from the Qinghai-Tibet plateau.},
journal = {Food chemistry: X},
volume = {35},
number = {},
pages = {103771},
pmid = {41953658},
issn = {2590-1575},
abstract = {This study aimed to elucidate differences between the commercial starter culture (CK) and traditional starters from different Tibetan regions (Gannan (GN), Qinghai (QH), Tibet (XZ)) in fermenting yak yogurt by physicochemical properties, flavor, and bacterial community. Results indicated acidity, proline, arginine, alanine, and C6:0 contents were significantly higher in the traditional starter culture than CK (P < 0.05). Gas chromatography-ion mobility spectrometry analysis found the traditional starter culture group was dominated by alcohols and esters, whereas CK exhibited richer ketones. Metagenomic analysis revealed Lactobacillus delbrueckii (49.56% in XZ, 24.86% in GN) and Streptococcus spp. (18.30% in CK, 17.21% in QH) as the dominant. Moreover, pH and titratable acidity were primary factors affecting microbial diversity. Meanwhile, glutamic acid modulated ester biosynthesis like ethyl acetate, while C16:0 fatty acids inhibited off-odor ketones such as 2-pentanone. This study offers valuable insights into developing specialized fermentation agents and standardizing the quality of yak yogurt.},
}

@article {pmid41953764,
year = {2026},
author = {Ivan, FX and Versi, A and Tiew, PY and Abdel-Aziz, MI and Kermani, NZ and Maitland-Van Der Zee, AH and Howarth, P and Koh, MS and Adcock, IM and Chotirmall, SH and Chung, KF},
title = {Multidrug-resistant Haemophilus influenzae cluster of severe asthma from sputum bacteriome-resistome.},
journal = {ERJ open research},
volume = {12},
number = {2},
pages = {},
pmid = {41953764},
issn = {2312-0541},
abstract = {BACKGROUND: Severe asthma encompasses heterogeneous inflammatory phenotypes and airway bacteriome diversity but the state of its airway resistome remains understudied. We therefore evaluated the link between the airway microbiome and the antibiotic-resistant genes by determining the clusters from a bacteriome-resistome integration from sputum samples of patients with severe asthma.

METHODS: Induced sputum samples from severe asthma (SA; n=96), mild-moderate asthma (MMA; n=23) and healthy controls (HCs; n=23) in the European U-BIOPRED asthma cohort were metagenomically sequenced. Respiratory bacteriome was evaluated by taxonomical and functional classification. The comprehensive antibiotic resistance database was used to determine airway resistome and Similarity Network Fusion to cluster integratively the bacteriome-resistome.

RESULTS: More multidrug-resistance genes were present in SA compared with MMA and HCs with the hmrM, encoded in Haemophilus influenzae chromosome, being highest. Two of the three defined clusters were dominated by commensals with resistance genes from different classes but different in α- and β-diversities. The third cluster was dominated by multidrug-resistant H. influenzae, with SA characteristics of increased asthma duration, reduced pulmonary macrophages and decreased lung function. It had the highest signature expression of neutrophil activation, NETosis and of interleukin (IL)-5, IL-6, IL-13, IL-17 and IL-33 signalling pathways. These clusters were reproduced in an Asian-Singapore SA cohort including the multidrug-resistant H. influenzae cluster, but with an additional cluster of multidrug-resistant Pseudomonas aeruginosa.

CONCLUSION: The demonstration of U-BIOPRED multiresistant H. Influenzae and of Asian-Singapore multiresistant P. aeruginosa clusters highlights the potential importance of antibiotic-resistant genes in driving severe asthma.},
}

@article {pmid41954112,
year = {2026},
author = {Banerjee, M and Lahiri, A and Basak, S and DAS, S and Mukhopadhyay, S and Banerjee, R and Basak, K},
title = {StaLAENet: A stacked LSTM-nested deep-autoencoder network for identification of antimicrobial resistance of nosocomial pathogens.},
journal = {Journal of biosciences},
volume = {51},
number = {},
pages = {},
pmid = {41954112},
issn = {0973-7138},
mesh = {Humans ; Algorithms ; *Cross Infection/microbiology/drug therapy ; *Anti-Bacterial Agents/pharmacology/therapeutic use ; *Drug Resistance, Bacterial/genetics ; Computational Biology/methods ; Autoencoder ; },
abstract = {As various technological innovations are assisting medical science in a considerable way, rendering a significant leap towards 'lab-to-land' delivery, in a similar vein, algorithm development and concomitant framework-based approaches help the field to enrich its patient care. Although antimicrobial drugs revolutionized this particular area, antimicrobial resistance is a pressing global health concern as microbial strains are becoming resistant to conventional antibiotics, undermining the efficacy of these drugs and leading to increased illness and healthcare costs. To tackle this menace, apart from technological innovations such as diagnostic kits, an informatics-based framework approach is the call of the day. Despite the emergence of several computational approaches, they lack in generalization, scope, and scalability. Here, we have developed a novel framework StaLAENet (stacked LSTM-nested deep-autoencoder network) to predict antibiotic-resistant gene drug classes targeting ESKAPE pathogens. This framework comprises two modules: a feature representation module comprising a stacked LSTM-nested deep autoencoder and a classification module that leverages a dense network using latent features. StaLAENet demonstrated an efficient performance - accuracy: 0.938±0.043, specificity: 0.888±0.061, precision: 0.912±0.020, and recall: 0.881±0.021 - for Enterococcus faecium using 4-mer data, with similar results for other organisms using various k-mer data. Comparative analysis confirmed its superiority over existing pipelines. Further, independent evaluation with non-redundant sequences (sourced from another database) and with a metagenomic dataset highlighted its generalizability, robustness, and capability to analyze complex microbial communities. StaLAENet can offer a robust solution for combating AMR, enabling an efficient way of antimicrobial stewardship and patient care.},
}

Humans
Algorithms
*Cross Infection/microbiology/drug therapy
*Anti-Bacterial Agents/pharmacology/therapeutic use
*Drug Resistance, Bacterial/genetics
Computational Biology/methods
Autoencoder

@article {pmid41954388,
year = {2026},
author = {Zhao, P and Liu, H and Dong, J and Su, H and Jin, Q and Yang, F},
title = {From hepatitis misdiagnosis to zoonotic false alarms: a metagenomic blacklist framework for the parvo-like hybrid viral group.},
journal = {Microbiology spectrum},
volume = {},
number = {},
pages = {e0015726},
doi = {10.1128/spectrum.00157-26},
pmid = {41954388},
issn = {2165-0497},
}

@article {pmid41954393,
year = {2026},
author = {Shukla, N and Budhbhatti, U and Puvar, A and Raval, I and Pandit, R and Chavda, P and Chauhan, A and Jhala, D and Shah, D and Shah, T and Raval, J and Prajapati, H and Patel, N and Upadhyay, K and Joshi, M and Patel, AK and Bondre, V and Kumar, N and Joshi, C},
title = {Genomic and evolutionary characterization of Chandipura virus: a cause of the 2024 outbreak in Gujarat, India.},
journal = {Microbiology spectrum},
volume = {},
number = {},
pages = {e0157825},
doi = {10.1128/spectrum.01578-25},
pmid = {41954393},
issn = {2165-0497},
abstract = {UNLABELLED: Acute encephalitis syndrome (AES) caused by Chandipura virus (CHPV) is a rapidly progressive and often fatal neurological illness predominantly affecting children in India. However, limited research on CHPV disease progression and viral genomics has hindered a comprehensive understanding of its transmission dynamics and evolutionary behavior. CHPV is endemic in India, with previous outbreaks (2003-2004) reported case fatality rates (CFRs) ranging from 56% to 75%. In the current (2024) outbreak, the CFR declined to 46%, with an overall test-positivity rate of 18.6%, possibly reflecting improvements in supportive care. Despite advances in genomics and sequencing technologies, only a limited number of CHPV genomes are publicly available. To address this gap, we performed whole-genome sequencing of CHPV isolated from a pediatric patient aged 12 years from Patan, Gujarat. Comparative genomic analysis with previously reported Indian strain revealed approximately 293 mutations, including 24 non-synonymous. The estimated evolutionary rate of CHPV was ~1.62 × 10[-2] substitutions/site/year. Furthermore, the selective pressure analysis showed that, despite the virus being under strong purifying (negative) selection, several non-synonymous changes were identified. Nonetheless, as the present analysis is based on the single genome, further sequencing, validation, and broader comparative analysis are required to draw a definitive inference. However, these findings suggest that even under purifying selection pressure, CHPV retains the ability to infect and cause severe disease in children. This highlights the continued need to investigate virus-host interactions, particularly host immune responses, to better understand CHPV pathogenesis and its ability to cause disease in children.

IMPORTANCE: Chandipura virus (CHPV) is an etiological agent of acute encephalitis syndrome (AES) in children, characterized by rapid neurological decline; yet the viral and host factors governing its neuropathogenesis and sudden outbreak dynamics remain poorly defined. Despite minimal genomic variation indicative of strong purifying selection, which supports the continued efficacy of existing molecular diagnostics and candidate therapeutics, CHPV re-emerges unpredictably in human populations, as exemplified by the 2024 AES cluster in Gujarat. This outbreak underscores the importance of continuous genomic surveillance to elucidate viral behavior and immune-evasion mechanisms. Moreover, it highlights the utility of both amplicon-based and metagenomic next-generation sequencing approaches for future CHPV detection and comprehensive genome characterization.},
}