FEMS Microbes

Airborne microbial pathogens in built environments (BEs) may pose potential health threats, yet the ecological mechanisms governing their assembly and persistence across interconnected architectural spaces are less studied. Here, we conducted a year-long, multi-spatial investigation across a university campus complex, sampling the exhaust outlets of three indoor environments and the adjacent outdoor inlets. By integrating the 16S rRNA gene and ITS sequencing from 437 paired bacterial-fungal samples, we characterized the spatiotemporal dynamics of airborne opportunistic pathogen-containing genera. Our study showed that spatial filtering emerged as the dominant determinant of pathogen community structure, with confined elevator environments serving as reservoirs of pathogens with limited but continuous microbial influx from surrounding spaces. Superimposed on this spatial baseline, bacterial and fungal pathogens displayed distinct seasonal dynamics. Opportunistic fungal pathogens such as Fusarium peaked during autumn and winter, possibly driven by enhanced aerosol persistence and dispersal under cooler, drier conditions. In contrast, bacterial pathogens exhibited greater temporal resilience, with key taxa such as Listeria transcribed actively during winter, predisposing them to increased relative abundance during spring. Cross-domain ecological networks further revealed the dynamic interactions among pathogens, centered on the skeletal structure mediated by the keystone fungal pathogen Aspergillus, suggesting that coordinated microbial interactions reinforced pathogen persistence across seasons. Together, our findings support a unified ecological framework in which pathogen dynamics within BEs arise from the coupled effects of spatial filtering, climatic modulation, and biotic interactions. These results provide a foundation for transitioning from static environmental control toward predictive pathogen management in BEs. ImportanceBEs are the primary settings of human microbial exposure, yet the ecological principles governing the persistence of airborne pathogens across interconnected indoor spaces remain poorly resolved. Most previous indoor studies have focused on isolated environments or single microbial groups, limiting our understanding of how pathogens are maintained and redistributed within complex architectural systems. By integrating bacterial and fungal community dynamics across spatial environments over four seasons, this year-long study demonstrates that the ecology of airborne pathogens is not static, but is instead dictated by a complex interplay of spatial, climatic, and biological forces. Our findings identify enclosed, high-transit elevator spaces as critical hotspots for pathogen accumulation and highlight the role of seasonal ecological reorganization in driving airborne health risks. More broadly, this work establishes a systems-level ecological framework for understanding airborne pathogen dynamics in BEs and provides a conceptual basis for developing more adaptive strategies for indoor microbial risk management.

Early-life wheezing in children has been associated with microbial alterations along the gut-airway axis, yet studies simultaneously investigating bacterial communities in both compartments remain scarce. The aim of this cross-sectional exploratory pilot study (n=25) was to characterize and compare nasal and stool bacterial communities in preschool children aged 1-4 years with recurrent wheezing and healthy controls using 16S rRNA gene metabarcoding. Across participants, nasal and stool bacteriomes were highly individualized and taxonomically diverse. Overall richness, evenness, and community composition did not differ significantly between healthy children and wheezers in either compartment. However, wheezers displayed markedly higher within-group variability, particularly in nasal communities. Stratification based on microbiome similarity to healthy samples revealed increased Moraxella and reduced commensal genera including Prevotella spp. and Veillonella, along with lower richness and evenness (all p<0.001) in nasal samples with divergent bacterial communities. Stool alterations were more subtle but included trends toward reduced Bacteroides, Faecalibacterium, and Alistipes in wheezers more divergent from healthy controls. Community assembly in both compartments was largely governed by stochastic processes but accompanied by less complex and more fragmented bacterial interaction networks in wheezing children. Cross-compartment correlations were also altered, most prominently involving stool Lactococcus showing stronger and more numerous correlations with nasal taxa in wheezers than in healthy controls. Divergent wheezers exhibited distinct modular network structure and cross-compartment profiles, consistent with a differentiated microbial organization. Together, these findings suggest compartment-specific differences in microbial interaction patterns across the gut-airway axis in early-life wheezing, despite limited differences in overall community diversity. Take home messagePreschool wheezers showed fragmented gut-airway microbial networks and Moraxella-associated airway community stratification despite limited differences in overall diversity.

Scalable soil microbiome monitoring requires sampling methods that are reproducible across operators, field sites, and logistical constraints. Here, we evaluated three key methodological choices that commonly limit comparability in agricultural rhizosphere studies: how the rhizosphere sampling unit is operationally defined, sample pooling strategies, and preservation methods. We introduce the RhizoCore, a standardized root-zone soil core defined by core diameter, depth, position relative to the plant, and subsample volume, as a practical proxy for traditional rhizosphere sampling. The RhizoCore method captured more than 92% of the sequencing depth found in traditional rhizosphere samples, with differences limited predominantly to low-abundance taxa. Preservation methods significantly affected bacterial communities, while sample pooling showed greater impact on fungal diversity and substantially reduced within-group variability across all treatments. Despite these effects, differential abundance analysis revealed minimal compositional changes, with only a small fraction of microbial taxa significantly affected by either pooling or preservation method. Our findings demonstrate that the RhizoCore method provides a reproducible, and scalable approach for rhizosphere sampling that balances scientific rigor with practical field implementation, offering a framework for large-scale soil microbiome monitoring programs and for improving comparability among agricultural microbiome studies across diverse environmental conditions.

Urbanization can result in shifts in abiotic and biotic factors, including temperature, pollution, habitat type, pathogens, and diet, among others. These shifts can, in turn, shape the ecological and evolutionary trajectory of urban wildlife. The gut microbiota has the potential to mediate host-environment interactions, especially in the context of diet and disease, and thus may be a useful lens for understanding the impacts of urbanization. House mice (Mus musculus domesticus) are a cosmopolitan human commensal with a wealth of genomic and metagenomic resources. Here, we investigate patterns of variation in diet and gut microbial diversity, community composition, and function using a paired urban-rural sampling design in house mice from three metro regions in the eastern United States. First, using stable isotope analysis, we found that habitat--urban versus rural--was a major driver of variation in {delta}15N, suggesting a diet richer in animal proteins in cities. Next, using short-read sequencing of the 16S rRNA gene, we found that urban mice have lower gut microbial taxonomic diversity than their rural counterparts. We also found that community composition varied among urban and rural habitats, with differences largely reflecting shifts among closely related taxa. In particular, Prevotellaceae, a family known to be responsive to dietary quality, was differentially abundant, with lower abundance in urban habitats. Finally, we found differentiation in a few predicted microbial functions across habitat, primarily related to metabolism. Together, data across three independent sampling regions provide strong evidence that urbanization has the potential to shape the diet and the microbiome of house mice.

Crop species may shape soil chemical properties and root-associated microbiota, but direct comparisons between contrasting crops remain limited. We compared soils and root-associated bacterial communities of Welsh onion (Allium fistulosum) and sweet potato (Ipomoea batatas) under the same field context. Sweet potato soil showed significantly lower electrical conductivity, inorganic nitrogen, and Mg saturation than control soil. Root-associated communities differed between crops, whereas alpha diversity did not. Proteobacteria-related taxa were more represented in Welsh onion roots, whereas Actinomycetia-related taxa were more represented in sweet potato roots, providing a basis for future studies on crop-specific soil microbial management.

Illegal wildlife trade and habitat degradation displace thousands of animals annually in Southeast Asia, with many confiscated primates housed in rehabilitation centers that increasingly function as long-term holding environments. In slow lorises, dental clipping associated with the pet trade may generate persistent disruption along the oral-gut axis, potentially undermining physiological readiness for release in ways not captured by conventional screening. Here, we evaluated whether microbiome structure provides an integrative marker of release readiness in rehabilitating Javan slow lorises (Nycticebus javanicus). From June to October 2024, we collected fecal (n = 26) and saliva (n = 18) samples from 19 adults housed at YIARI, including 10 release candidates and 9 non-candidates classified primarily based on tooth loss, medical history, and possibility of release. Bacterial communities were characterized using 16S rRNA (V3-V4) amplicon sequencing, with alpha and beta diversity, taxonomic enrichment (LEfSe), and predicted functional profiles (PICRUSt2) assessed. Microbiome composition was strongly compartmentalized by body site, with higher alpha diversity in the gut. Release candidacy was associated with modest gut compositional differences, whereas oral microbiomes showed pronounced divergence between candidates and non-candidates. Non-candidates were enriched in dysbiosis-associated taxa and degradation-oriented functional pathways, while candidates showed enrichment of biosynthetic and central energy metabolism pathways. Gut microbiome structure was stable across pre-release and soft-release phases. These findings indicate that oral and gut microbiomes represent distinct physiological niches and that persistent oral microbiome alteration is a sensitive marker of long-term dental perturbation. Integrating microbiome-informed metrics may improve multidimensional assessment of release readiness.

Montane fens are rare and microbiologically poorly characterised wetland ecosystems in south-eastern Australia, and their microbial communities remain virtually unexplored. Here, we profile the microbiomes of Victorian montane fens using 16S rRNA metabarcoding of 12 soil cores collected along a 12-m transect and sampled across four depth horizons. Surface soils exhibited slightly higher alpha diversity than deeper layers, but the most pronounced differences occurred in community composition, with surface microbiomes significantly distinct from all subsurface depths. To contextualise these communities within global environmental diversity, we compared them with 9662 Earth Microbiome Project samples spanning 24 environmental materials processed using comparable methods. Montane fen microbiomes were one of the most diverse environmental materials analysed and compositionally distinct from all comparator biomes. Overrepresentation analysis identified signature microbial taxa, including archaeal lineages from the Crenarchaeota and Methanomicrobia and bacterial phyla such as Acidobacteria, highlighting taxa involved in ecological processes associated with acidic, saturated, and organic-rich soils. Notably, the majority of sOTUs detected in montane fens were unique to this environment - the highest proportion of source-specific taxa among all biomes analysed. Together, these findings demonstrate that southeastern Australian montane fens harbour a highly distinctive and largely uncharacterised microbial community, underscoring their ecological uniqueness and the importance of conserving these rare alpine wetlands. Data SummarySequencing data is available in SRA BioProject PRJNA1398590; accessions SRR36684598 through SRR36684645. Metadata and accessions for collected montane fen samples are included in Table S1 and metadata for Earth Microbiome Project samples included in this study are listed in Table S4. Impact StatementWetland ecosystems are increasingly recognised as important reservoirs of microbial diversity, yet many remain poorly characterised in global microbiome surveys. In this study, we provide the first characterisation of microbial communities inhabiting montane fens in southeastern Australia and place them in a global context using publicly available environmental microbiome data. We show that these fens harbour exceptionally diverse microbial communities that are compositionally distinct from other environmental sources processed using comparable methods, with a high proportion of taxa that are not present in any other sample in an existing reference dataset. By extending global comparisons to an under-sampled wetland type, this work adds to the growing body of evidence that significant microbial diversity remains undocumented in geographically and ecologically restricted environments. The findings are relevant to researchers working in microbial ecology, environmental genomics, and biogeography, as well as those interested in wetland function and conservation. While largely descriptive, this study represents an important step in expanding environmental genome catalogues and provides a baseline framework for future genomic, functional, and mechanistic investigations of montane wetland microbiomes.

Northern peatlands store large carbon stocks but are sensitive to disturbance. Hydrology, vegetation, herbivory and snow conditions may affect the soil microorganisms driving methane (CH) and nitrous oxide (N2O) cycling. We investigated how reindeer exclusion and snow depth (increased and reduced relative to ambient) manipulations (ongoing for three seasons) influenced archaeal and bacterial communities in a boreal rich fen. Metagenomic (MG) and metatranscriptomic (MT) sequencing were combined with pore-water chemistry and CH flux measurements to link the microbiome to ecosystem processes. Microbial communities differed between outside and inside the exclosure. However, these patterns primarily reflected underlying hydrological variation. Slightly wetter inside plots showed higher expression of denitrification genes (norB, nosZ) and lower (nirS+nirK)/nosZ ratios, indicating greater potential for complete denitrification to N2 instead of N2O. Methane dynamics were mainly associated with vegetation: plots associated with Carex rostrata exhibited lower pmoA/mcrA ratios and elevated CH fluxes. Snow manipulations had subtle effects: reduced snow depth decreased the expression of taxa dependent on microbial interactions, while the effect to the investigated metabolic marker genes was small. Overall hydrology, leading to variations in redox conditions and nutrient availability, together with vegetation appeared as the primary drivers on microbial greenhouse gas processes in this peatland.

Short-read amplicon sequencing is widely used for fungal surveys but can limit taxonomic resolution. Long-read sequencing enables recovery of the full internal transcribed spacer (ITS) region and may improve ecological and taxonomic inference. Here, we conducted a paired comparison of Illumina ITS2 and PacBio HiFi full-length ITS sequencing using identical DNA extracts from built-environmental air and surface samples (n = 68) collected across homes, a dormitory, and laboratories. Both datasets were taxonomically assigned using the same algorithm and reference database. We performed paired statistics, in-silico ITS2 trimming of long-read sequences, and cross-platform mapping at multiple identity thresholds. Full-length ITS provided higher taxonomic resolution, assigning a greater fraction of ASVs at the family (98% vs. 88%) and species (42% vs. 32%) ranks than ITS2 (paired Wilcoxon q = 0.002). Alpha-diversity comparisons showed similar Shannon diversity across pipelines, whereas richness metrics were consistently higher for full-length ITS. Beta-diversity analyses indicated broadly comparable community-level patterns, although full-length ITS revealed stronger sample-type- and location-associated structure (PERMANOVA R{superscript 2} [&ge;] 0.06, p = 0.0001). In-silico ITS2 trimming reduced these differences, indicating that amplicon length is a major contributor to enhanced taxonomic resolution and ecological inference. Cross-platform mapping further showed extensive one-to-many relationships between ITS2 and full-length ITS ASVs, consistent with increased sequence resolution in long-read data. Together, these results show that ITS2 sequencing provides robust community-level profiling, while full-length ITS enables improved richness estimates and finer ecological and taxonomic resolution. This paired, bias-aware framework provides a practical template for selecting fungal amplicon sequencing strategies in built-environment mycobiome studies. ImportanceFungal communities in built environments influence indoor air quality and human exposure, yet their characterization depends strongly on sequencing strategy. This study provides a controlled, paired comparison of short-read ITS2 and long-read full-length ITS sequencing, showing that differences in amplicon length substantially contribute to variation in taxonomic resolution and ecological inference. While both approaches yield comparable community-level patterns, full-length ITS improves richness estimates, species-level assignment, and environmental discrimination by resolving sequence variation collapsed in ITS2 surveys. By integrating paired diversity analyses, in-silico ITS2 trimming, and cross-platform ASV mapping, this work offers a bias-aware framework for evaluating fungal amplicon pipelines. Importantly, improved species-level resolution enables functional interpretation of indoor fungi, for example the identification of taxa associated with pathogenic traits, allergen production, or toxin synthesis, supporting the development of more informative exposure metrics and targeted assays relevant to human health in built environments.

Soil harbours a wide diversity of microbes responsible for essential functions, such as depolymerizing the C and N in organic matter through the production of exoenzymes. Some of these exoenzymes are universal, whereas others are specific to certain microbes. We hypothesized that higher microbial alpha diversity is associated with greater depolymerization capacity, specifically for protein and cellulose depolymerization, which will result in more N being mineralized. We therefore diluted two soil microbial communities, one from a forest soil and one from an agricultural soil, to create a diversity gradient. After nine weeks, we transferred these communities to a synthetic soil in which microbial necromass was the only nitrogen source. Before the transfer and two weeks after, we quantified protease, deaminase and {beta}-glucosidase potential activity, characterized the bacterial and fungal communities, and measured the quantity of nitrogen mineralized. The dilution had very little effect on the processes measured, with no clear trend. For identical alpha diversity values, some communities had high process rates, while other not. It appeared that these communities varied widely, a side effect of the dilution approach, and that this variation was significantly linked to process rates. This shows that community composition (beta diversity) is more strongly related to enzymatic potential and mineralization than species richness (alpha diversity) following necromass addition. In conclusion, the relationship between diversity and depolymerization of microbial necromass is not simply a matter of a linear decrease along with diversity but is rather linked to how reduced diversity results in more stochastic microbial communities. Highlights- Community composition (beta diversity) influence more microbial necromass depolymerization than species richness - Abundance of specific microbes explained ammonification and nitrification processes - Mineralization rates is different between crop and forest soil

Biological N2O production from organic nitrogen is generally assumed to require canonical nitrification, which generates oxidized nitrogen that subsequently fuel denitrification. Whether this paradigm universally applies to nitrogen-rich microbial communities remains unclear. Here, we investigated N2O production across an industrial poultry manure composting process and found that substantial N2O formation occurred despite the apparent absence of canonical ammonia oxidation. Neither allylthiourea inhibition nor metagenomic analyses provided evidence for ammonia-oxidizing microorganisms or their activity. Instead, metagenomic analyses identified abundant bacterial nitric oxide synthase (bNos) genes, many of which were phylogenetically affiliated with Bacilli, the dominant bacterial group throughout composting. Physiological experiments with Bacillus isolates demonstrated a nitrification-independent route in which L-arginine was oxidized to NO2-/NO3-, consistent with bNOS-mediated NO formation followed by abiotic oxidation. Recovery of 15N-labelled N2O following 15NO2- addition established NO2- as an immediate precursor of aerobically produced N2O, confirming that the oxidized nitrogen generated through this alternative route subsequently fueled denitrification. Metagenomic analyses further revealed extensive denitrification potential but comparatively low nosZ abundance. Together, these findings identify a previously overlooked route linking organic nitrogen turnover to denitrification independently of canonical nitrification, thereby expanding current models of microbial N2O production in composts and potentially other protein-rich thermophilic environments.

Soil microbial inoculants have the potential to improve crop yield, enhance agricultural sustainability, and support soil restoration, but they often display unpredictable in-field performance across varied soil conditions. Cyanobacteria-dominated soil surface consortia (SSCs) offer a tractable model for studying inoculant-soil interactions because their visible surface growth enables direct observation and sampling after application. Here, we introduced the SSC "DG1," dominated by the diazotrophic cyanobacterium Nostoc linckia, into soil microcosms differing in resident microbiome diversity (low vs. high diversity) and urea fertilization history, (+urea vs. -urea). We used 16S rRNA gene sequencing and genome-resolved metatranscriptomics to assess inoculant establishment and functioning. Resident microbiome diversity did not affect total N. linckia gene expression, but heterotrophic DG1 members showed reduced expression in high-diversity soils. Soil diversity and urea history drove broad shifts in DG1 transcription and significantly affected transcription of key N. linckia carbon and nitrogen metabolism genes. High-diversity soils with urea were associated with increased transcription of photosynthesis, CAZyme, and nitrogen cycling genes, whereas low-diversity soils without urea promoted increased nitrogenase transcription and reduced carbon and nitrogen metabolism transcription. These results show that inoculant outcomes depend not only on establishment, but also how soil conditions and biology shape post-establishment functioning.

Microbial succession can be used to estimate the postmortem interval (PMI); however, the impact of spatial variability within the cadaver decomposition island (CDI) is not well understood. This study examined spatial variation in necrobiome communities where soil samples were collected over time and across spatial locations from the CDIs of two human body donors. Microbial communities were characterized using 16S rRNA sequencing and statistical modelling of variation and PMI were conducted. Necrobiome community metrics showed no significant differences across anatomical sampling sites within the CDI at a single timepoint. Temporal modelling identified 11 taxa with significant relationships to PMI in one donor, with spatial sampling having a minimal impact on the PMI relationships. Non-linear approaches also identified taxa with likely PMI signals in the second donor. These findings demonstrate that opportunistic sampling can capture robust linear and non-linear PMI signals in later decomposition stages.

Alzheimers disease (AD) is a neurodegenerative disease and the leading cause of dementia among elderly. Gut microbiome alterations precede pathogenesis and may affect disease outcomes. We evaluated the role of Bacteroides fragilis in triple transgenic mice modeling AD pathologies (3xTg-AD) and wild-type controls (WT). Subsets of 3xTg-AD and WT mice were longitudinally treated with B. fragilis or sterile vehicle control for five consecutive days at 8 weeks of age and then monthly up to 52-56 weeks. Fecal samples were collected fortnightly from 8 through 52-56 weeks of age. Mice were sacrificed at 8 (baseline), 24 (amyloid-{beta} plaques modeled), and 52-56 (amyloid-{beta} plaques and neurofibrillary tangles modeled) weeks of age. Expression of genes involved in neuroinflammation and neurotransmission were quantified using reverse transcription quantitative polymerase chain reaction (RT-qPCR). Fecal bacterial microbiota were assessed by sequencing the V4 region of the 16S rRNA gene, and microbiome sequence data were analyzed using QIIME 2. Frontal cortex and fecal metabolomes were evaluated using LC-MS/MS. We observed that B. fragilis colonized the gut microbiota of 3xTg-AD mice earlier and more consistently than WT mice. 3xTg-AD mice treated with B. fragilis demonstrate lower gene expression of GFAP, SLC1A3, and FOXO3 in the frontal cortex. Consistent with this finding, treatment with B. fragilis restores levels of amino acid derivatives and neurotransmitters in 3xTg-AD mice to resemble levels in WT mice. These results highlight the role of the gut microbiome in AD-associated neuroinflammation and neurotransmission and the need for future studies to elucidate the mechanisms underlying these changes. ImportancePrevious studies in animals modeling Alzheimers disease pathologies and humans living with Alzheimers disease demonstrate shifts in the gut microbial community composition prior to and concomitant with pathological onset. The bacterial genus, Bacteroides, is commonly found differentially abundant in these studies but its effects on disease outcomes are poorly understood. In this study, we explore the effects of chronic exposure to Bacteroides fragilis in triple transgenic mice modeling Alzheimers disease pathologies and healthy, wild-type controls. We observed changes in microbial community composition in mice modeling Alzheimers disease when treated with B. fragilis, and associated changes in neuroinflammation, biomarkers of neurotransmission, and the brain metabolome. Taken together, these results suggest that Bacteroides fragilis exerts neuromodulatory effects that may be beneficial in Alzheimers disease.

Geothermal springs are unique environments that harbor diverse populations of microorganisms. As a result of their environmental and geochemical variability, different springs can support distinct heterogeneous communities of organisms with unique functional adaptations and metabolic capabilities. A recent molecular survey of Aotearoa-New Zealand hot springs indicated that these springs may support thermophilic microorganisms be able to degrade plastics. To test this, we applied a cultivation-centered approach via an in situ enrichment of putative plastic-degraders using high surface are polyethylene terephthalate (PET), polylactic acid (PLA), and polyhydroxybutyrate (PHB) substrates in a diversity of New Zealand hot springs. The plastic associated microbial communities were characterized via marker gene and analyses. Finally, plastic-associated biofilms were used as inoculum to isolate thermophilic plastic degraders. Via this process, we confirm that there are plastic degrading bacteria are present in springs across Aotearoa-New Zealand. Moreover, we isolated two PHB degrading strains (Cuprividus sp. and Rubrobacter sp.) and demonstrated their capability to metabolize plastic under thermophilic conditions in vitro. While the pathways identified in our plastic degrading isolates suggest they may be able to metabolize plastics for carbon, the primary use of plastics by geothermal microbial communities does not appear to be as an energy source. Instead, they appear to mainly serve as surfaces for microbial attachment, composed primarily of non-plastic degrading taxa.

Antibiotic resistance genes (ARGs) are an emerging class of environmental contaminants with significant implications for public health. Previous studies have linked fungicide exposure to elevated levels of ARGs in soil microbiomes, but research investigating the impacts of fungicide on ARGs within phyllosphere bacterial communities is limited. To address this, creeping bentgrass was treated with the fungicide active ingredients chlorothalonil, fluxapyroxad, and propiconazole and sampled at 4 hours, 96 hours, and one week post-application. Quantitative PCR (qPCR) was performed to quantify the abundance of ARGs and a metal resistance genes (MRG) abundance relative to 16s. Additionally, 16S rRNA gene sequencing was performed to characterize bacterial community composition. Results indicated that fungicide treatments did not significantly alter the relative abundance of ARGs or an MRG within bent grass bacterial communities. However, significant changes were observed over time, with changes in ARG and MRG abundance mirroring temporal shifts in bacterial beta diversity. ARGs and the MRG relative abundance had significant correlations with Proteobacteria, Actinobacteria, Bacteriadota, and Firmicutes, including with genera Pseudoxanthomas, and Dyandobacter, which contain opportunistic human pathogens. This study demonstrates that fungicides have limited influence on the abundance of ARGs and MRGs in the phyllosphere and helps guide further investigations aiming to mitigate the spread of antibiotic resistance. ImportanceAntibiotic resistance makes it harder to treat bacterial infections. Recent evidence suggests that fungicides may increase the abundance of antibiotic resistance genes (ARGs) in soil. Leaves are also treated with fungicides, but it is unclear if there will be increases of antibiotic resistance in this environment because bacteria on leaves face different physiological stresses. Additionally, plants may serve as a route of infection to humans or animals with antibiotic resistant bacteria making it a critical micro-environment to investigate. The purpose of this study was to determine whether the prevalence of antibiotic resistance on plant surfaces changes after short-term exposure to fungicides. This study shows that over short-term application periods, time has a greater effect on the abundance of genes that cause antibiotic resistance than treatment with the fungicides chlorothalonil, fluxapyroxad, and propiconazole on plants. This work helps inform future efforts to mitigate the spread of antibiotic resistance.

Anthropogenic soil degradation is a major challenge for sustainable food production, particularly in tropical agricultural systems where excessive fertilizer use contributes to soil deterioration and greenhouse gas emissions. Microbiome-based agricultural technologies offer a potential strategy to improve fertilizer-use efficiency while maintaining crop productivity. Here, we characterized the taxonomic composition and predicted functional potential of a commercial microbiome-based fertilizer additive (humus) deployed across more than 1.4 million hectares in Paraguay and Uruguay, and compared it with root-associated microbiomes. In parallel, we evaluated agricultural and forest soil microbiomes from eastern Paraguay. Microbial communities were analyzed using 16S rRNA gene sequencing and PICRUSt2-based functional prediction. The humus microbiome displayed enrichment of pathways associated with degradation of organic compounds, nutrient cycling, and plant-growth-promoting activities. Furthermore, humus and root-associated microbiomes shared over 350 predicted microbial pathways, indicating substantial functional overlap despite differences in specific bacterial taxa, and suggesting that the consortium may function as a rhizosphere-like microbial community capable of providing functions commonly associated with plant-associated microbiomes. In agricultural soils, significant taxonomic differences were observed between high- and low-productivity fields, whereas predicted functional profiles remained largely conserved, consistent with functional redundancy within soil microbial communities. Productive soils were enriched in the superpathway of demethylmenaquinol-6 biosynthesis II, a microbial vitamin K2-related pathway involved in respiratory metabolism. Together, these findings provide the first detailed taxonomic and predicted functional characterization of a large-scale commercial microbiome-based fertilizer additive and establish a baseline for understanding microbial diversity and functional potential across productive agricultural soils in Paraguay. ImportanceSoil degradation and inefficient fertilizer use are major constraints to sustainable agriculture, particularly in tropical systems where nutrient losses and greenhouse gas emissions are high. Microbiome-based agricultural inputs are increasingly proposed as tools to enhance soil functioning and improve nutrient cycling efficiency, yet their ecological characteristics and functional potential remain poorly understood. This study provides the first detailed taxonomic and predicted functional characterization of a large-scale commercial microbiome-based fertilizer additive deployed in South American agriculture, and places it in the context of native forest and agricultural soil microbiomes. By integrating 16S rRNA gene sequencing with predictive functional profiling, this work reveals substantial functional overlap between the microbial consortium and plant-associated microbiomes, suggesting ecological convergence toward rhizosphere-like functions. In addition, the identification of conserved functional profiles across soils with contrasting productivity highlights the potential role of functional redundancy in maintaining ecosystem processes under different management regimes. Together, these findings provide a foundational framework for understanding microbiome-based agricultural inputs and soil microbial functional stability in subtropical agroecosystems, specifically Paraguay, contributing to the development of more sustainable agricultural practices.

Antimicrobial resistance (AMR) is increasingly recognized as an ecological and evolutionary phenomenon that extends beyond clinical environments. Despite the predominant focus on antibiotics, bacterial metal resistance genes are among the oldest and most widespread adaptive antimicrobial systems, yet their distribution within human-associated microbial communities remains poorly characterized. Here, we investigated the ecology of mercury (Hg) resistance in children from a birth cohort with relatively high Hg exposure. Fecal samples from 234 children aged 4-8 years were analyzed using culture-based screening, whole-genome sequencing, and comparative analyses of metal- and antibiotic-resistance determinants and associated mobile genetic elements (MGEs). Hg-resistance was detected in 79.7% of samples, with HgR Enterobacterales isolated from 57% of children. Hair mercury concentrations were not associated with carriage. Sequencing revealed a phylogenetically diverse collection dominated by Escherichia spp. (61%). Hg resistance was mediated by 79 mer operons primarily associated with Tn21, Tn1696, and Tn5053 families circulating on chromosomes and a highly diverse plasmidome. Both rare and globally distributed plasmids related to foodborne, animal, and clinical Enterobacterales were identified. Metal resistance determinants exhibited strong taxonomic structuring, with Escherichia enriched in iron-uptake systems and siderophores whereas non-Escherichia taxa carried multimetal resistance operons. These findings indicate that Hg-resistance is shaped by ecological interactions and MGEs, becoming partially decoupled from contemporary Hg-exposure and bacterial community composition. The human gut therefore serves as an important reservoir linking environmental metal resistance to the broader evolution of AMR and provides insight into the baseline resistome and plasmidome of human populations.

Mangrove forests are major blue carbon ecosystems but are often characterized by low surface methane (CH4) emissions. Such low emissions, however, do not necessarily indicate weak methanogenesis, because CH4 production may be offset by internal CH4 consumption before reaching the atmosphere. Although previous community, genomic, and transcriptomic studies have implicated methylotrophic methanogenesis in mangrove sediments, direct taxon-resolved evidence linking methylated carbon assimilation to potentially active methanogens remains limited. Here, we combined methanogenic activity assays, DNA stable isotope probing (DNA-SIP), mcrA and 16S rRNA gene analyses, and phylogenetic comparisons to identify potentially active methanogens across saline-influenced mangrove soils. The results showed that CH4 production potentials were consistently dominated by methylotrophic pathways (1.86-2.78 g CH4 g-1 soil hr-1) across all sites. DNA-SIP, together with consistent community patterns in fresh soils, indicated the potential activity of methylotrophic and mixotrophic methanogens under saline conditions. Methanolobus-affiliated methanogens were associated with salinity, Na+, Cl-, and NH4+, whereas Methanosarcina and unclassified Methanosarcinaceae were linked to soil soluble organic carbon availability and water content, indicating niche differentiation among active methanogenic groups. Phylogenetic analyses incorporating reference sequences from diverse environments further showed that potentially active mangrove methanogens were dominated by saline-associated lineages. Together with our previous methanotrophic evidence from the same sites, these findings suggest that low CH4 emissions from mangrove blue carbon ecosystems can mask substantial internal CH4 cycling sustained by active methanogenesis and CH4 consumption.

The extent that anaerobic digestate acts as a reservoir of antimicrobial resistance genes (ARGs) is likely underestimated as conventional metagenomics may underrepresent low-abundance determinants and lacks sufficient resolution to reliably link ARGs to mobile genetic elements (MGE). This study used hybrid assemblies to evaluate whether culture-enriched metagenomics (CEMG), with and without antimicrobial selectivity, improves detection of ARGs in digestate and characterization of ARG- MGE-host linkages. Culture enrichment substantially increased ARG recovery: mean ARG signal rose from 15.4 CPM in fresh digestate (FD; direct metagenomic samples) to 124 CPM in CEMG without antibiotics and 160.0 CPM in antibiotic-selective CEMG, corresponding to an approximately 10.4-fold increase over FD. While only 9 unique ARGs were detected in FD, enrichment recovered 112, including those of clinical importance such as those encoding for vancomycin resistance, extended-spectrum {beta}-lactamase, and linezolid resistance. Oxygen availability emerged as the strongest factor structuring enrichment, with aerobic and anaerobic samples forming distinct clusters and exhibiting shifts in dominant taxa and resistome composition. Antibiotic selection produced more targeted, class-specific shifts, with tetracycline resistance consistently enriched across treatments. Hybrid metagenomic assembly further resolved ARG-MGE-host linkages, revealing extensive co-localization of ARGs with MGEs and heavy metal resistance genes. Together, these findings demonstrate that antibiotic-selective culture enrichment enhances resistome surveillance by improving detection of low-abundance ARGs, while hybrid assembly provides critical genomic context to assess their mobility and host associations. IMPORTANCELivestock manure and its byproducts, such as anaerobic digestate, are recognized as important environmental reservoirs of antimicrobial resistance, yet current metagenomic approaches may underestimate this risk by failing to detect low abundance but clinically relevant resistance determinants. Here, we show that integrating culture enrichment with hybrid metagenomics improves the recovery of antimicrobial resistance genes and reveals their association with mobile genetic elements and bacterial hosts. This approach captures a cultivable and condition-responsive fraction of the resistome that is not readily accessible through direct metagenomic sequencing alone, providing a more informative framework for environmental AMR surveillance.