Microbiome

Bdellovibrio and like organisms (BALOs) are obligate bacterial predators that shape microbial communities by promoting species diversity, yet they have long been considered irrelevant to the human gut due to their presumed obligate aerobic lifestyle. Here, we challenge this view through a combined meta-analytic, experimental, and conceptual investigation of BALOs in human microbiomes. Reanalyzing 168,000 consistently processed samples from the Human Microbiome Compendium spanning 482 studies, we detected BALOs in more than 80 studies and across multiple body sites worldwide, with a gut prevalence of 2.4%, a finding confirmed by reanalysis of the PRIME database for 16S rRNA microbiome data. Strikingly, BALO presence was consistently associated with higher microbial alpha-diversity across body sites and disease contexts. Biopsy-derived samples showed a substantially higher prevalence than fecal samples, suggesting a mucosa-proximal niche. Our laboratory experiments showed that multiple Bdellovibrio strains can delay the loss of microbial diversity in vitro and remain active under gut-relevant conditions, including 37C, pH 6.5, and in the presence of mucus. Genomic analyses further revealed terminal reductases, including nitrite reductases, in several BALO genomes, indicating the capacity for anaerobic or microaerobic respiration, consistent with persistence in mucosal microenvironments. Notably, the metabolic and ecological profiles of cultured BALOs closely match those of facultative anaerobes, which constitute their preferred prey and are central drivers of dysbiosis in inflammatory bowel disease, diabetes, colorectal cancer, and chronic kidney disease. Building on these findings, we propose a conceptual framework in which BALOs contribute to gut homeostasis by controlling the expansion of facultative anaerobes under inflammatory conditions, thereby facilitating the restoration of fermentative, butyrate-producing communities. Together, our results establish BALOs as consistent, functionally relevant members of the human microbiome and a promising natural candidate for therapeutic strategies targeting chronic gut disease.

Anthropogenic pressures are increasingly reshaping wildlife habitats worldwide. These transformations reduce natural areas, but also create new ecological niches, food resources, and environmental stressors, with potential consequences for wildlife behavior, physiology, and morphology. These changes may affect the gut microbiome, a critical component of host health, yet such effects are often inconsistent across species, particularly in wild non-human primates, and remain poorly understood. Here, we investigated how the gut microbiome of chacma baboons (Papio ursinus ursinus), an ecologically flexible generalist, responds to an anthropization gradient. We analyzed 512 fecal samples collected from 33 wild troops across a broad range of anthropogenic environments in the Western Cape, South Africa. Using a multi-metric approach including the Human Footprint Index, land-use variables and dietary proxies derived from stable isotopes, we assessed gut microbial diversity and composition based on 16S rRNA gene (V4) sequencing. Human-altered environments characterized by high Human Footprint and built-up areas were associated with reduced microbial diversity, and compositional and functional shifts, including decline in fiber-degrading taxa and increase in bacteria associated with simple carbohydrate and dairy metabolism. In contrast, highly cultivated areas showed no diversity difference and distinct microbial assemblages, while dietary variation had weaker effects, primarily altering rare taxa. Our results demonstrate that different components of anthropogenic pressure exert contrasting effects on the baboon gut microbiome, reflecting multiple ecological pathways extending beyond diet alone. Microbiome shifts may have implications for host health, potentially increasing susceptibility to pathogens or inflammatory diseases, with consequences for wildlife populations.

Microbial eukaryotes are prevalent members of host-associated and free-living microbial communities, but are routinely excluded from studies of these communities. Existing methods for eukaryote detection from whole metagenome sequencing are limited by contamination of eukaryotic reference genomes and incomplete taxonomic coverage. Our previously published tool EukDetect addressed these challenges using a curated database of universal BUSCO marker genes, but lacked validated quantitative abundance metrics and was built from a limited number of genomes. Here we present EukDetect2, incorporating a database containing 6,948 microbial eukaryotic genomes representing 6,594 unique species, 2,339 of which are newly added since EukDetect version 1, alongside quantitative metrics for estimating absolute and relative abundance of microbial eukaryotes. Using simulated data, we demonstrate accurate abundance estimation, no false positives from bacterial or host-derived reads, and equivalent or greater sensitivity and specificity than alternative taxonomic profiling tools across a range of microbial abundances and community compositions. Applying EukDetect2 across globally distributed human gut microbiome cohorts, we find that Blastocystis spp. and Dientamoeba fragilis are the most prevalent gut eukaryotes across cohorts, while host-associated fungi are consistently less prevalent than commensal protists. Blastocystis abundance is positively associated with a gut microbial community enriched for fiber-fermenting microbes and depleted for pro-inflammatory and industrialization-associated taxa. EukDetect2 provides sensitive, accurate, and quantitative metrics for investigating microbial eukaryotes from metagenomic samples.

BackgroundUrinary tract infections (UTIs) represent a major public health concern, increasingly complicated by rising antibiotic resistance, diminishing treatment efficacy, and increasing prevalence of recurrence. The urinary tract microbiome (urobiome) remains poorly characterized, despite its potential role in UTIs. ResultsTo provide a comprehensive overview of the urobiome, we here integrated seven publicly available shotgun metagenomics studies, linking microbial composition to clinical infection status or diagnostics. Community-level analyses revealed distinct urobiome clusters, defined by one predominant bacterial taxon. Genome-resolved metagenomics allowed recovery of high-quality metagenome-assembled genomes (MAGs), enabling phylogenetic reconstruction, prediction of pathogenic potential, and profiling of antimicrobial resistance genes across multiple taxa. We then analyzed the pangenome of the clinically significant Escherichia coli species and found that its genomic variation is driven more by phylotype than isolation source or UTI status, supporting a model of opportunistic infection. ConclusionsTaken together, our analyses represent a systematic, cross-study view of the urobiome that emphasizes the ecological complexity of the urobiome and the importance of integrating functional and phylogenetic information when studying UTIs.

The honey bee (Apis mellifera) gut microbiome plays a central role in host health, yet its variation across agricultural landscapes remains poorly resolved. This study investigates how major environmental stressors, particularly pesticide exposure and RNA virus loadings, shape the honey bee gut microbiome in a large-scale field study conducted across Canada, spanning diverse agroecosystems from British Columbia to Quebec. We identify consistent associations between specific bacterial taxa and major RNA viruses, including enrichment of Serratia marcescens with SBV and depletion of Bombella intestini with BQCV. Pesticide exposure is likewise linked to reproducible shifts in key microbial taxa. Together, these findings reveal that interacting stressors jointly shape the bee gut microbiome and enable prediction of microbiome responses in agroecosystems. HighlightsDistinct associations identified between gut bacteria and major bee RNA viruses (BQCV, SBV, LSV, IAPV) Pesticide exposure is linked to reproducible shifts in key microbial taxa Combined virus-pesticide effects form coordinated clusters that predict microbiome variation and specific bacterial responses Integrated modeling demonstrates that environmental stressors can jointly explain microbiome structure beyond crop effects Graphical abstractSchematic overview of potential links between pesticide exposure and RNA virus infection and their effects on the bee gut bacterial community. Solid arrows indicate associations supported by the present study, whereas dashed arrows indicate hypothesized or unresolved interactions. Associations between the presence of specific bee RNA viruses (left) or pesticide residues (right) and changes in the relative abundance of particular gut taxa (pink {uparrow}, increased; blue {downarrow}, decreased). The pesticide subtype is indicated by the icon in the cell (leaf - herbicide, hyphae - fungicide and insect - insecticide). Several bacterial taxa showed reproducible associations with specific viral or pesticide variables, including Bombella intestini, Serratia marcescens, Melissococcus plutonius, Paenibacillus alvei, Apibacter sp. wkB309, and Gilliamella sp. A7. Abbreviations: BQCV Black queen cell virus; LSV, Lake Sinai virus; SBV, Sacbrood virus; IAPV, Israeli acute paralysis virus. (p/n/b) indicate the sample matrix in which the pesticide was detected, namely pollen, nectar, and bee tissue, respectively. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=133 SRC="FIGDIR/small/731697v1_ufig1.gif" ALT="Figure 1"> View larger version (40K): org.highwire.dtl.DTLVardef@cb92a4org.highwire.dtl.DTLVardef@1087045org.highwire.dtl.DTLVardef@102cabforg.highwire.dtl.DTLVardef@4ce2f1_HPS_FORMAT_FIGEXP M_FIG C_FIG

Anthelmintic resistance in cyathostomins is escalating worldwide, threatening equine health and highlighting the need for sustainable, ecology based parasite control strategies. Chicory (Cichorium intybus, Puna II) has emerged as a promising antiparasitic forage, yet its broader effects on the equine holobiont, parasites, microbiota, and host physiology remain poorly understood. We conducted a 32 day longitudinal grazing trial in young horses to assess how chicory affects parasitological outcomes, gut microbial ecology, nemabiome composition, behaviour, and host physiological and immune responses. Twenty-six naturally infected Anglo-Arabian horses were monitored weekly, with 13 grazing a chicory-based sward and 13 grazing a permanent pasture. Clinical parameters, body weight, and serum biochemistry remained stable across treatments, indicating that chicory was well tolerated. Immune profiles showed limited variation, although IL 10 increased in chicory fed horses, suggesting subtle immune modulation. Behavioural observations revealed no signs of discomfort and indicated slightly enhanced social interactions in the chicory group. Chicory grazing produced a marked reduction in cyathostomin egg excretion, accompanied by species specific shifts in nemabiome composition. Several cyathostomin taxa, including Cylicocyclus ashworthi, C. leptostomus, and C. nassatus, declined in chicory fed horses, whereas certain Cylicostephanus spp increased, indicating differential sensitivity rather than uniform suppression. Concomitantly, chicory induced profound ecological changes in the gut microbiota, including reduced alpha diversity, increased beta dispersion, and destabilised individual microbial trajectories. Several bacterial lineages, particularly Oscillospiraceae, Clostridiaceae, Lachnospiraceae, and Bacteroidales, were differentially enriched, reflecting a functional reorganisation of the intestinal ecosystem. Together, these findings demonstrate that chicory reduces parasite fitness, reshapes nemabiome composition, and alters gut microbial ecology while maintaining host physiological stability. Chicory thus emerges as a promising ecological tool for parasite control, capable of modulating the equine holobiont in ways that complement and potentially reduce reliance on conventional anthelmintic strategies. However, because its effects on gut microbial ecology remain uncertain, and may include shifts resembling dysbiosis, future studies are needed to monitor microbial dynamics more closely and clarify the long term ecological consequences of chicory grazing.

Virus-host interactions are fundamental drivers of microbial community structure, yet whether viral ecological niches are confined within individual host niches (nested host niche scenario) or span multiple hosts and exceed any single host niche (expanded host niche scenario) remains poorly understood. To explore these patterns, we characterized prokaryotic and viral distributions and predicted virus-host interactions along a salinity gradient at Bras del Port salterns (Spain), ranging from seawater (3.6% salinity) to salt saturation (39.0%). We analyzed metagenomes and viromes from six ponds supplemented by 27 additional published viromes from the same hypersaline system, recovering 170 metagenome-assembled genomes (MAGs) dereplicated at the genomospecies level (MAGs clustered at 95 % average nucleotide identity), approximately 55,000 viral operational taxonomic units (vOTUs), and nearly 4,000 predicted virus-host pairs. Viruses exhibited broader niches than their putative hosts at the highest salinities, while at lower salinities the pattern was reversed or inconsistent depending on the site, and niche breadths of both viruses and hosts increased steadily toward higher salinities. Host taxonomy at the class level and below was the primary driver of viral genomic clustering, explaining more variance than salinity provenance (approximately 30% vs. approximately 19%), while the contribution of salinity to viral genomic composition appeared indirect, mediated through the salinity-driven distribution of distinct host classes rather than direct environmental filtering of viral sequences. Together, these findings support the expanded host niche scenario as the predominant virus-host interaction strategy, with evolutionary and ecological dynamics jointly shaped by salinity and host identity.

A tightly regulated inflammatory response occurs during and following parturition; however, excessive or prolonged inflammation negatively affects herd health and productivity. The gut microbiota plays an important role in host immunity and metabolism and undergoes substantial changes during the transition period. However, the relationship between systemic inflammation, measured by serum acute-phase proteins, and gut microbial dynamics during early lactation remains poorly understood. We investigated fecal microbiota dynamics in relation to systemic inflammation in early postpartum dairy cows. Fecal and blood samples were collected from 71 Holstein cows on days 1 and 3 in milk (DIM). The V3-V4 region of the 16S rRNA gene was sequenced and microbial diversity, differential abundance, and microbial interaction networks were evaluated. Inflammatory status, defined by fibrinogen, haptoglobin, and their combined classification, was associated with significant alterations in fecal microbial composition during the immediate postpartum period, independent of body condition score, parity, DIM, and DNA extraction parameters. Differential abundance analyses revealed extensive taxonomic restructuring, while network analyses identified increased modularity, altered keystone taxa distribution, and greater compartmentalization of microbial interactions in animals with elevated inflammatory markers. Several taxa were consistently associated with inflammatory status across analytical approaches. Notably, Ruminococcaceae UCG-002 and Dielma were associated with inflammatory states, whereas Xylanibacter, Marvinbryantia, Akkermansia, and Oscillibacter were associated with non-inflammatory status. This study identifies an association between systemic inflammation and fecal microbiota composition in early transition dairy cows, providing a foundation for future microbiome-based biomarkers of inflammatory status. IMPORTANCESubclinical systemic inflammation during early postpartum can negatively affect dairy cow health and productivity, yet current monitoring relies on repeated blood sampling and transient inflammatory biomarkers. For the first time association of systemic inflammation, assessed using fibrinogen, haptoglobin, and their combined classification, with alterations in fecal microbial composition, microbial interaction networks, and keystone taxa distribution during the early postpartum period was established. Several bacterial taxa were consistently associated with either elevated or normal inflammatory states across differential abundance, network, and odds ratio analyses. Many of these taxa remain poorly characterized in dairy cattle, highlighting the need for future mechanistic studies. This study demonstrates that systemic inflammation during early postpartum is associated with measurable alterations in the fecal microbiota. This work provides a foundation for developing microbiome-based biomarkers for detecting and monitoring subclinical systemic inflammation in dairy cattle.

Fungi are key members of microbial communities, yet microbiome surveys often lack trait-based information required for ecologically meaningful interpretation of mycobiome data. To demonstrate the value of fungal trait-based phenotyping in microbiome research, we re-analyzed N=3,221 samples across four case studies spanning human, agricultural, and environmental systems. In human cancer and vineyard datasets, trait-based analysis detected fungi producing macroscopic fruiting bodies, likely introduced via airborne spore dispersal, indicating widespread contributions of transient or contaminant fungi that can confound interpretation of sequencing data from tumor biopsies and grape berries. In sourdough fermentations, filamentous fungi were highly abundant alongside traditionally-recognized yeast and occupied distinct ecological niches. In forest soils, increasing habitat disturbance was associated with increased prevalence and abundance of plant pathogens, and a marked decline in ectomycorrhizal and lichenized fungi. These changes were accompanied by a shift toward large-spored taxa in urban soils, consistent with enhanced stress tolerance. To facilitate broader adoption of fungal phenotyping in microbiome studies, we introduce q2-fungal-traits, a QIIME2 plugin for automated integration of fungal taxonomy derived from marker-gene or shotgun metagenome sequencing surveys with ecological and functional trait data. The plugin assigns lifestyle-related traits and spore size estimates through hierarchical taxonomic matching and integrates directly into standard microbiome workflows. Our case studies demonstrate that integrating trait-based ecology with mycobiota datasets can generate novel findings and testable hypotheses, enabling inference of the functional (ir)relevance of community constituents. Our work contributes to bridging the gap between descriptive community profiling and functional ecology in microbiome research.

Background Colonisation resistance provided by the gut microbiota is a critical barrier to pathogen invasion, yet its study in vivo is constrained by the complexity and cost of vertebrate models. Here, we developed a humanised Galleria mellonella infection model by inoculating wax moth larvae with complex human faecal microbiota. 16S rRNA gene sequencing confirmed stable, reproducible establishment of a diverse human associated community across larvae over four days. Results Humanised larvae exhibited colonisation resistance against Salmonella enterica serovar Typhimurium, with mortality reduced to 20% compared to 90% in non colonised controls. To test whether prophages could overcome this barrier, we infected larvae with isogenic S. Tm strains differing in the presence of prophage P22. Infection with the P22 carrying strain resulted in a threefold higher larval mortality (60% vs. 20%), increased pathogen load, and a significant reduction in the abundance of resident E. coli. Free P22 virions were detected early after infection, indicating extensive prophage activity. Notably, P22 can neither adsorb nor lyse resident E. coli, indicating that prophage mediated invasion success did not rely on direct lysis. Instead, using high throughput metabolic profiling paired with whole genome sequencing of three replicate lineages, we found that phage activation intensified resource partitioning, accelerating functional metabolic adaptations in E. coli that significantly reduced the niche overlap between the invading pathogen and the commensal E. coli. Conclusion Our findings establish the first humanised G. mellonella model supporting complex human microbiota and provide a novel non lytic mechanism by which prophages influence species interactions. This scalable, low cost model offers a new platform to dissect pathogen phage microbiota interactions relevant to human gut ecology.

Thermal stress can disturb microbial communities associated with host species. As microbes can support essential functions related to host metabolism, physiology, nutrition and immunity, changes in microbial communities can have severe fitness consequences for the host. Although the effects of thermal conditions on host-associated microbiomes have been demonstrated in controlled laboratory settings, how climate change might affect the structure and functionality of microbial communities in wild populations remain poorly understood. Here, we took advantage of the well-characterized long-term field survey of the Glanville fritillary butterfly (Melitaea cinxia) metapopulation on the [A]land islands, in the Baltic Sea, to fill this gap. We investigated whether bacterial communities associated with larvae show signs of gradual temporal change in response to slow environmental warming across a 28-year period, or whether these communities responded through abrupt change following a sudden drought event that triggered bottlenecks in their butterfly host population. Using a combination of 16S rRNA metabarcoding and metagenomic sequencing, we first showed that M. cinxia harbours a set of stable resident bacteria, including Pseudomonas, Telluria, and Enterobacteriaceae bacteria. But we also characterized a gradual shift in the M. cinxia associated bacterial community over three decades of increasing temperatures and decreasing precipitations. This shift was not unidirectional for all bacterial taxa, as the dominant Telluria and Pseudomonas showed opposing responses to environmental trends. Additionally, the 2018 extreme drought, which triggered acute host population bottlenecks, was associated with a severe disruption of M. cinxia microbiota, and the loss of key Enterobacteriaceae taxa. However, the M. cinxia bacterial community seemed to be able to recover towards pre-drought structure in subsequent years, suggesting a degree of resilience to acute climatic perturbations in this microbial system.

BackgroundUpper-airway and respiratory conditions impose a large and growing global burden, yet there is no standardized way to assess whether a nasal microbiome is "healthy". Currently, monitoring remains reactive, beginning only after symptoms manifest. The nasal cavity is well suited to proactive monitoring: it shapes respiratory health and pathogen colonization resistance, and can be sampled non-invasively and repeatedly. To address this gap, we introduce the Nasal Microbiome Wellness Index (NMWI), a disease-agnostic, continuous score of nasal microbiome health derived from LASSO-penalized logistic regression. Rather than counting taxa, it learns which taxa (and in what balance) characterize a healthy nose and returns the predicted log-odds that a profile resembles a healthy state. The index was trained on 1654 nasal 16S rRNA gene amplicon sequencing samples (589 healthy, 1065 non-healthy) pooled from 27 publicly available studies, uniformly reprocessed through a single computational pipeline. ResultsThe NMWI comprises an interpretable signature of 24 taxa whose combined relative abundances determine the health-associated log-odds. Health-associated genera such as Corynebacterium and Cutibacterium raised the score, while dysbiosis-associated genera such as Pseudomonas and Escherichia-Shigella lowered it. The NMWI substantially outperformed the Shannon, Simpson, and Chao1 diversity indices, which showed negligible, directionally inconsistent separation between healthy and non-healthy samples (|Cliffs{delta} | = 0.01-0.20), whereas the NMWI produced large, consistent separation ({delta} = 0.65). It achieved a balanced accuracy of 74.37% on the training data (resubstitution estimate), and 73.43% under repeated 10-times 10-fold cross-validation. Performance remained stable at mean balanced accuracy of 73.82% under a leave-one-study-out framework, reflecting cross-study generalizability. In independent external cohorts, the balanced accuracy was 71.49%, and leave-one-disease-out analysis (in which each disease condition was withheld from training) showed a mean balanced accuracy of 63.92% across unseen conditions, consistent with a disease-agnostic design. The index also generalized across heterogeneous datasets spanning multiple 16S rRNA gene hypervariable regions--to our knowledge the first demonstration of such cross-study, cross-region transferability for the nasal cavity. ConclusionsThe NMWI distills a complex nasal microbial profile into a single interpretable score computed directly from the 16S rRNA gene data that dominate existing nasal research, making it immediately applicable to published and future datasets without re-sequencing. By replacing descriptive, diversity-based comparison with a quantitative standard, it offers a reproducible, open-source foundation for cross-study benchmarking, individual-level phenotyping, and longitudinal respiratory wellness monitoring.

Antimicrobial exposure can alter gut resistance reservoirs, but bulk metagenomics alone often cannot distinguish whether observed changes reflect expansion of bacterial hosts, altered abundance of plasmid-derived sequences, or redistribution of mobile elements across host backgrounds. Here, we combined longitudinal bulk short-read metagenomics with selected bulk long-read and single-cell shotgun metagenomic sequencing to analyse faecal samples from six Danish pigs over 11 weeks, including an unplanned tiamulin exposure affecting the three pigs housed on the right side of the stable. We constructed a catalogue of 885 plasmid-derived sequences collapsed into 195 bins. Twenty-eight bins and 212 contigs carried resistance annotations, including ribosomal-target markers relevant to pleuromutilin exposure. Single-cell evidence linked subsets of plasmid-derived bins and contigs to bacterial host taxa, enabling host-resolved inspection of resistance-associated plasmid-derived features in longitudinal bulk metagenomes. The microbiome-wide plasmid-derived-sequence prevalence screen identified two bins with post-event associations, whereas resistance-gene abundance and host-attributed plasmid-derived-sequence abundance screens identified no significant host-resolved associations. Because exposure was unplanned and confounded with pen side and disease signs, treatment-response results are exploratory. The main contribution is a single-cell-informed microbial ecology workflow for linking plasmid-derived resistance features to host backgrounds and longitudinal abundance patterns in complex gut

Background: Early-onset colorectal cancer (EOCRC) is increasing globally, particularly among Hispanic/Latino (H/L) populations, yet the contribution of tumor-colonizing microbiota to age-associated colorectal cancer (CRC) biology remains poorly understood. Most microbiome studies have focused on fecal communities or non-Hispanic populations, leaving the intratumoral microbial landscape of H/L patients largely unexplored. Methods: We performed an exploratory characterization of tumor-colonizing microbiota using whole-exome sequencing (WES) data from four primary colorectal tumors obtained from H/L patients treated at City of Hope, including two EOCRC (<50 years) and two late-onset colorectal cancer (LOCRC; [&ge;]50 years) cases. Following removal of host-derived sequences, microbial taxonomic profiling was conducted at the family, genus, and species levels, and microbial metabolic pathways were inferred. Clinical and pathological data were integrated to evaluate age-associated differences in microbial composition and predicted function. Results: Family-, genus-, and species-level analyses consistently demonstrated greater microbial diversity in LOCRC than EOCRC. LOCRC contained more than twice the number of unique bacterial families, nearly three times as many unique genera, and more than twice as many unique bacterial species. A conserved core microbiota, including Fusobacteriaceae, Prevotellaceae, Fusobacterium, and Prevotella, was identified across both age groups, whereas LOCRC was enriched in CRC-associated taxa including Fusobacterium nucleatum, Bacteroides fragilis, Parvimonas micra, Porphyromonas asaccharolytica, and Dialister pneumosintes. Species-level analyses revealed only a single shared bacterial species between EOCRC and LOCRC, indicating progressive microbial divergence with increasing taxonomic resolution. In contrast, functional profiling identified 11 predicted microbial metabolic pathways, of which nine were shared between age groups, two were unique to EOCRC, and none were exclusive to LOCRC. Core metabolic pathways involved in energy metabolism, amino acid biosynthesis, phospholipid metabolism, and central carbon metabolism exhibited comparable abundance across both groups, demonstrating substantial functional conservation despite pronounced taxonomic differences. Conclusions: Tumor-colonizing microbiota differ markedly between EOCRC and LOCRC in H/L patients, with late-onset tumors exhibiting substantially greater microbial richness and taxonomic complexity. Despite these compositional differences, microbial metabolic functions remain largely conserved, supporting the concept of functional redundancy within the colorectal tumor microenvironment (TME). Although exploratory, this proof-of-concept study provides one of the first characterizations of intratumoral microbiota in H/L EOCRC and establishes a foundation for larger multi-omics investigations aimed at identifying microbiome-based biomarkers and therapeutic targets for precision oncology.

Industrialization has reshaped human gut microbiomes, but its effects on other human-associated mammals remain poorly understood. Domestic dogs provide an informative comparative system because they have shared human environments and food systems for millennia yet retain distinct host biology. However, most canine microbiome studies have focused on industrialized companion animals, limiting our understanding of the ecological range of the domestic dog gut microbiome. We analyzed fecal 16S rRNA gene profiles from 261 dogs sampled across Nepal, Thailand, the United Arab Emirates, and the United States, spanning forager, agrarian, pastoralist, urban, and industrialized lifestyles; 257 dogs remained after excluding recent antibiotic exposure. Lifestyle was the strongest measured correlate of canine gut microbiome composition, and this structure persisted in restricted analyses of mature, non-shelter dogs sampled from temperate climate regions. Industrialized dogs differed from non-industrialized dogs through directional genus-level turnover, restructuring of VANISH- and BloSSUM-like microbial guilds, and shifts in predicted functional potential. Non-industrialized dogs were not microbiologically uniform: pastoralist dogs carried non-industrialized microbiome profiles but diverged from a simple forager-to-industrialized continuum. Cross-species comparisons with humans sampled across matched lifestyle categories showed parallel lifestyle-associated restructuring in both hosts, but host species remained the dominant axis of variation and the genera responding to industrialization were largely host-specific. These findings expand the ecological baseline for the domestic dog gut microbiome and identify industrialization as a major axis of microbiome restructuring in a long-term human-associated mammal. More broadly, they show that shared lifestyle transitions can impose parallel ecological pressures across host species without overriding host-specific community assembly.

Improving environmental management in the offshore Oil & Gas sector requires approaches that capture the ecosystem services (ES) provided by marine sediments, particularly their roles in carbon and nutrient cycling. Microbial communities are central to these processes, and molecular tools offer new opportunities to assess their functional diversity. To explore how different sequencing approaches inform environmental impact assessment, we compared taxonomic and functional prediction based on 16S metabarcoding, shotgun metagenomics and messenger RNA-based metatranscriptomics, targeting prokaryotic communities. Our aims were to evaluate the ability of each approach to detect impact and to determine how well they captured functions relevant to ES. All approaches revealed clear differences in community composition between impacted and non-impacted sediments at both taxonomic and functional levels, with impact significantly associated with hydrocarbon and barium content. Functional inventories showed substantial overlap across the three approaches, and 48-55 ES-related processes were detectable in all datasets. While metagenomics provided the strongest statistical discrimination between impact groups, metatranscriptomics resolved the actively expressed pathways underpinning ES, yielding the most biologically meaningful functional profiles despite its lower statistical power. All approaches indicated that Oil & Gas activity drives shift towards anaerobic, hydrocarbon-degrading, and sulfur-respiring microbial communities, with hydrocarbon degradation, sulfur cycling, and metal detoxification being the dominant ES processes in impacted sediments. Metabarcoding was confirmed as a cost-effective option for impact assessment when focused on taxonomic composition. However, functional prediction from metabarcoding data proved less reliable, as several ES showed contrasting associations to impact category between metabarcoding and shotgun sequencing approaches.

Nontuberculous mycobacteria (NTM) are opportunistic pathogens that persist in chloraminated drinking water systems, yet the roles of phages and plasmids in their persistence remain largely unexplored. Using genome-resolved and quantitative metagenomics, we characterized NTM, phages, prophages, and plasmids in a chloraminated building plumbing system. Bacterial metagenome-assembled genomes (MAGs) and viral operational taxonomic units (vOTUs) were quantified at mean concentrations of 8.41 * 10^7 and 8.00 * 10^8 copies/L, respectively, including seven NTM MAGs at a mean total concentration of 4.01 * 10^5 copies/L. NTM concentrations were highest at the site with the lowest bacterial and viral diversity. Predicted NTM-infecting virus concentrations were inversely related to NTM concentrations across sites, suggesting complex phage-host dynamics that warrant direct experimental investigation. NTM, putative phages, prophages, and plasmids encoded functions related to disinfectant tolerance, stress response, metal resistance, and secretion. These findings identify phage interactions, prophages, and plasmids as overlooked genomic and ecological dimensions of NTM persistence in engineered water systems.

Early-life microbial colonization is critical for shaping host development, yet how different maternal microbial reservoirs contribute to colonization of distinct offspring body sites remains poorly understood. Here, we explored microbial colonization and maturation of oral and rectal microbiota in puppies during the first postnatal week and assessed the contributions of maternal oral, vaginal, rectal, and milk microbiota to early colonization. We collected 505 samples from 33 dams and their litters at day 1 and day 8 postpartum and characterized microbial communities using 16S rRNA gene sequencing. We found that the pup oral microbiome on day 1 closely resembled maternal milk and vaginal microbiota. In contrast, the pup rectal microbiome was initially distinct from all maternal body sites, suggesting contributions from additional unmeasured sources. By day 8, both oral and rectal microbiomes exhibited signs of early maturation, with decreased relative abundance of opportunistic taxa and increased resemblance to maternal profiles. In dams, the vaginal microbiome showed the largest postpartum shift, while the rectal microbiome exhibited a smaller but significant change, and milk and oral microbiomes remained stable. Our results reveal that maternal contributions to early microbiome assembly are body-site specific, with oral and rectal microbiomes following distinct developmental trajectories during the first week of life, consistent with a dynamic colonization process shaped by both maternal and likely additional non-maternal sources. The observed patterns parallel those reported in humans, supporting the value of dogs as a comparative model for studying early-life microbiome colonization and maternal-offspring transmission in mammals.

Myxococcota are globally distributed bacteria renowned for their remarkable ecological and biotechnological significance due to their complex lifestyles, social behaviour, and secondary metabolite production. Despite their ubiquity in diverse environments, including soil, marine, and extreme habitats, their diversity and ecological roles remain underexplored. Here, we utilized the Microflora Danica dataset, encompassing >10,000 metagenomes and >400 rRNA gene datasets from various environments in Denmark, to investigate the distribution, diversity, and metabolic potential of Myxococcota. We show that Myxococcota are ubiquitous but strongly structured by environment, with soil-associated lineages enriched in predatory and multicellular development traits, whereas aquatic-associated taxa exhibit alternative lifestyles, including anaerobic metabolism and phototrophy. Comparative genomic analysis reveals widespread potential for secondary metabolite production, hydrocarbon degradation, and organohalide transformation, alongside diverse contribution to carbon and nutrient cycling. Together, these findings redefine Myxococcota as a functionally diverse and ecologically differentiated phylum, extending beyond canonical predation and multicellularity, and underscore their promise as large reservoir of unexplored functional potential for biotechnological applications in drug discovery and environmental remediation.

In microbiome studies, associations between microbial functions and the environment are often confounded by phylogeny. While some methods explicitly account for this confounder, they require information about genome content, limiting their use in biomes where few genomes have been available. To make these methods more universally accessible, we have developed Phylogenize2, a redesigned phylogeny-aware tool for linking microbial gene families to abundance phenotypes. Phylogenize2 integrates large metagenome-assembled genome collections, including both biome-specific collections from MGnify and a broadly sampled general purpose database, GlobDB, to substantially expand species coverage, allowing its application in environments like the mouse gut and ocean. In addition, by default, Phylogenize2 uses a new robust phylogenetic testing framework that has been optimized for microbial abundance data, while also allowing the use of other comparative methods such as POMS. In an experimental mouse study, Phylogenize2 identifies that Muribaculaceae with higher abundance on a high-fat diet are enriched for proteins in the thioredoxin family, with likely roles in oxidative stress. When we apply Phylogenize2 to a polar ocean study, we find that a molybdenum-dependent PaoABC/YagTSR-like aldehyde oxidoreductase system differentiates mesopelagic from surface-dwelling Flavobacteriaceae, suggesting that aldehyde detoxification may be important for organisms that degrade marine snow. Together, these results show that Phylogenize2 expands phylogeny-aware microbiome analysis beyond the human gut and can provide insight into the genetic basis of microbiome-encoded traits in diverse environments. ImportanceMicrobiome studies often set out to identify which microbes are more or less abundant across environments, but these patterns can be difficult to interpret. Phylogenize2 is an open-source software package that allows researchers to ask whether individual microbial gene families are associated with the environment across independent branches of the microbial tree of life. By incorporating large collections of genomes from uncultivated microbes, as well as modern statistical methods designed for microbial abundance data, Phylogenize2 makes this approach practical for microbiomes beyond the human gut, including in model organisms like lab mice and free-living environments like the ocean. We also provide a pipeline that allows the use of new genome collections. In two case studies, we demonstrate that Phylogenize2 effectively prioritizes specific genes and pathways from metagenomic data, thereby leading researchers from changes in microbial abundance to more biologically interpretable explanations.