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Melioribacter sulfuriphilus sp. nov., facultatively anaerobic thermophilic sulfur- and thiosulfate-respiring bacterium from Karmadon hot springs of North Ossetia (Russian Federation).

Novel facultatively anaerobic moderately thermophilic bacteria, strains OK-6-MeT and OK-1-Me, were isolated from the hot springs of Karmadon (North Ossetia, Russian Federation). Gram-stain-negative, motile rods were present singly, in rosettes, and formed biofilms. Both strains grew optimally at 55 °C, pH 7.0 and did not require sodium chloride. They were chemoorganoheterotrophs, growing on mono-, di- and polysaccharides (cellulose, xylan, lichenan, xyloglucan, mannan, locust bean gum, pectin) as well as proteinaceous substrates (gelatin, casein). Growth under anaerobic conditions was observed both in the presence and absence of external electron acceptors (sulfur, thiosulfate, nitrite, arsenate, Fe-citrate, ferrihydrite). Major cellular fatty acids of both strains were iso-C15:0, anteiso-C15:0, and anteiso-C17:0. The size of the genomes were 3.3 and 3.2 Mb for strain OK-6-MeT and OK-1-Me, respectively. Genomic DNA G + C content was 37% for both strains. According to the 16S rRNA gene sequence and conserved protein sequences phylogenies, the strains represented a new species of the genus Melioribacter of family Melioribacteraceae within the class Ignavibacteria, for which the name Melioribacter sulfuriphilus sp. nov. is proposed, with type strain OK-6-MeT (= B-3972T = CGMCC 1.18264 T = BIM B-2154T = UQM 41932T). Analysis of OK-1 and OK-6 metagenomes revealed presence of various genes involved in carbon (CO2 fixation, carbohydrate hydrolysis, hydrocarbons degradation, fermentation), nitrogen (nitrate, nitrite, NO and N2O reduction) and sulfur cycles (sulfate reduction, sulfur or thiosulfate reduction, oxidation of sulfur compounds). MAGs OK-1-035 and OK-6-024 almost identical to genomes of strain OK-1-Me and OK-6-MeT presumably are integral part of these complex trophic chains.

Facultative anaerobe

Depth-dependent multi-kingdom microbial interactions and biogeochemical cycling genes in eutrophic shallow lake sediments.

Microorganisms are pivotal to lake ecosystem biogeochemical cycles, yet existing research often focuses on single microbial kingdoms or surface sediments, neglecting multi-kingdom interactions and depth-resolved dynamics. To address these gaps, we used metagenomic sequencing to characterize microbial communities and their functional associations across overlying water and 0-45 cm sediments in four shallow lakes of the middle Yangtze River basin, China. Despite increasing bacterial and fungal diversity with depth, the 0-9 cm surface sediments exhibited the strongest multi-kingdom network connectivity and the greatest microbial stability. Functional genes exhibited clear depth-dependent patterns: nitrogen cycling genes, including those involved in dissimilatory nitrate reduction to ammonium, were most enriched in the upper 0-9 cm of sediment; methane cycling genes were positively correlated with depth; phosphorus cycling genes and some sulfur cycling genes, such as assimilatory sulphate reduction, declined with depth. Sediment microbial assembly was dominated by deterministic processes, in which the vertical distribution of functional genes was primarily dictated by heavy metals and conventional environmental indicators. These findings highlight depth-specific multi-kingdom microbial interactions and their associations with biogeochemical cycling, advancing lacustrine microbial ecology understanding and providing references for lake conservation under environmental change.

Lakes

Widespread marine and freshwater distributions of active sulfoquinovose-degrading bacteria.

Sulfoquinovose (SQ), a sulfonated sugar produced on a gigaton scale each year, contributes to global sulfur cycling, yet the microbes and pathways mediating its turnover in the environment have been inferred largely from genomic potential rather than direct activity. Here, we coupled incubations of environmental samples with 13C-labeled SQ to DNA-stable isotope probing to identify active SQ carbon assimilators across estuary, mangrove, and lake ecosystems. In estuarine communities, Vibrio and Cognatishimia incorporated SQ-derived 13C; Novosphingobium dominated in the mangrove, and Agrobacterium in the lake. Pure-culture experiments, coupled with comparative proteomics and gene knockout validation, demonstrated that Vibrio strains degrade SQ via modified sulfoglycolytic Embden-Meyerhof-Parnas and Entner-Doudoroff pathways to produce the environmentally significant organosulfur 2,3-dihydroxypropanesulfonate. Comparative genomic analyses suggested that closely related genome representatives of Novosphingobium, Cognatishimia, and Agrobacterium encode the sulfolytic SQ monooxygenase pathway. A global survey of aquatic microbial genomes indicated that over 9% harbor SQ degradation clusters, supporting a widespread distribution of bacterial SQ catabolic potential in aquatic environments.

Fresh Water

Metagenomic insights into biogeochemical functional potential and resistome dynamics of PM2.5 microbial communities.

Atmospheric particulate matter harbors diverse microorganisms, yet their functional potential in biogeochemical cycling and the associated risks of resistome remain poorly understood. Here, we performed metagenomic sequencing on PM2.5 samples collected across four months to unravel the microbial genetic repertoire involved in methane, nitrogen, phosphorus, and sulfur cycling, as well as the resistome, and pathogen composition. A broad range of functional genes was detected for each biogeochemical cycle, with more than 65% of gene subtypes shared across all months, indicating conserved functional signatures. In contrast, more than 80% of the resistome showed temporal variation in abundance, with the lowest richness observed in March. Temporal shifts were also observed in resistome composition, with several resistance determinants reaching higher abundances in April and May. Network analysis indicated frequent co-occurrence among several pathogenic and opportunistic taxa. Contig-based profiling identified 51 potential pathogenic taxa, including 32 human- or animal-associated taxa. In addition, both PM10 and PM2.5 concentrations were associated with pathogen abundance and functional gene richness (e.g., antibiotic resistance genes and virulence factors). Together, this metagenomic survey suggests contrasting temporal patterns between conserved biogeochemical functional potential and more variable resistome-related traits in PM2.5 microbial communities. While constrained by limited temporal coverage and sample size, this study provides preliminary insights into the ecological and potential public health relevance of airborne microbial communities in urban environments.

Particulate Matter

Metagenomic analysis reveals global landscape of viruses in biogeochemical cycles and microbial resistance in paddy soils and wetlands.

Paddy soils and wetlands form a critical soil-water interface that supports global crop production and biogeochemical cycling. Understanding the role of viruses in these ecosystems is vital for predicting ecosystem resilience. Considering the significance of viruses in microbial community structure and environmental pollution, we analyzed 163 metagenomes from 18 countries in Asia, Europe, America, and Australia. We characterized the global distribution and potential ecological functions of viruses through viral auxiliary metabolic genes (vAMGs), antibiotic resistance genes (vARGs), and metal(loid) resistance genes (vMRGs). We found viruses with globally consistent compositions and host profiles, characterized by high richness and a dominance of lysogenic families. We identified 497 vAMGs associated with carbon, phosphorus, nitrogen, and sulfur cycling, and detected 279 vARGs (conferring resistance to 10 antibiotic) and 141 vMRGs (against 7 metal(loids)). These genes exhibited strong co-localization and co-selection patterns, and their transduction can promote the emergence of multi-resistant microbes, reshaping microbial communities. Therefore, viruses are key mobile vectors for the environmental spread of these genes. By quantifying these pathways, we provide a crucial advancement for ecological risk identification and assessment. This meta-analysis provides a comprehensive overview of virus-mediated biogeochemical processes and resistance gene propagation. We demonstrate that viruses can disseminate antibiotic and metal(loid) resistance, a pollution-driven process that poses potential health risks. Furthermore, by regulating key metabolic pathways, viruses can influence greenhouse gas fluxes. Our findings underscore the necessity of integrating viruses into climate models, pollution mitigation strategies, and One Health policies to assess ecological risks and to protect ecosystem and public health.

Wetlands

Heavy-metal stress shapes habitat-specific microbial survival strategies in estuarine environments.

Estuarine ecosystems face increasing heavy metal pollution from rapid urbanization and industrialization, yet the microbial adaptive strategies to multiple metal stressors across different habitats remain poorly understood. This study investigated the diversity and composition of bacterial and fungal communities across free-living (FL), particle-attached (PA), and sediment (SE) fractions from three estuaries with varying heavy metal contamination, and further investigated functional adaptations of bacterial communities. High-throughput amplicon sequencing revealed habitat-specific communities, with SE hosting the highest alpha diversity and enrichment of metal-resistant genera such as Woeseia and Sva1033. Environmental filtering, particularly by Zn, was the dominant driver shaping bacterial assemblages across all habitats, whereas fungal communities displayed greater stochastic assembly patterns. Analysis of 44 high-quality bacterial metagenome-assembled genomes (MAGs) revealed diverse metal resistance genes (cusA, znuB, and zntA), along with enriched metabolic pathways for carbon, nitrogen, and sulfur cycling. Notably, both active efflux/oxidative stress defense and indirect immobilization mechanisms were observed across all habitats, but their relative importance differed: FL and PA communities exhibited a greater reliance on active metal efflux (czcAB) and oxidative stress defense (trxAB) to maintain intracellular homeostasis, whereas SE communities displayed a stronger genomic potential for sulfate reduction (dsrAB) that may contribute to metal immobilization through sulfide precipitation. This metabolic partitioning highlights the complementary roles of different habitats in mediating metal toxicity and biogeochemical cycling, providing new insights into microbial resilience in polluted estuaries and underscoring the urgency of addressing heavy-metal contamination in these critical ecosystems.

Estuaries

Unraveling the coastal marine plastisphere archaeome.

Plastic pollution has created an expanding anthropogenic microbial niche, the plastisphere, raising questions about microbial ecology and associated impacts. Archaea, the third domain of life with fundamental ecological and evolutionary significance, remain poorly understood in this habitat. Here, using paired plastic debris and bulk-water samples from coastal marine ecosystems, key archaeal habitats increasingly threatened by plastic pollution, we characterize the plastisphere archaeome through archaeal amplicon sequencing and metagenomics. We show that the archaeome is significantly reshaped in the plastisphere, exhibiting higher taxonomic diversity, greater community heterogeneity, and selective enrichment of Euryarchaeota and Crenarchaeota. Archaeal genes involved in methane, nitrogen, and sulfur cycling are enriched in the plastisphere. Taxonomic and functional divergence between the plastisphere and bulk water increases with anthropogenic chemical stress. These findings suggest that plastic pollution could alter marine archaeal diversity, biogeography, and biogeochemical potential, extending understanding of plastisphere impacts to the archaeal domain.

Archaea

Short-term virus-host interactions and functional dynamics in recently deglaciated Antarctic tundra soils.

Long-term chronosequence studies have shown that, as glaciers retreat, newly exposed soils become colonized through primary succession. To determine the key drivers of this process and their vulnerability to climate change, the short-term responses of these pioneering microbial communities also need to be elucidated. Here, we investigated how the taxonomic and functional structure of microbial communities, including viruses, changed over a 7-year period in an Antarctic glacier forefield. Using metagenomics and metatranscriptomics we assessed the influence of both abiotic and biotic factors on these communities. Our results revealed a highly heterogeneous bacteria-dominated microbial community, with Pseudomonas as the most abundant genus, followed by Lysobacter, Devosia, Cellulomonas, and Brevundimonas. This community exhibited the capacity for aerobic anoxygenic phototrophy, carbon and nitrogen fixation, and sulfur cycling, processes vital for survival in nutrient-poor environments. 52 high-quality metagenome-assembled genomes (MAGs) were recovered, representing both transient and cosmopolitan taxa, some of which were able to rapidly respond to environmental changes. A diverse and highly dynamic collection of lytic and temperate viruses was identified across all samples, with high clonal viral genomes typically detected in only one of the eight samples analyzed. Metatranscriptomic analyses confirmed the activity of lytic viruses, while prophage genomes featured much lower expression levels. Prophages appeared to influence host fitness through the expression of genes encoding membrane transporters. Additionally, the abundance of genes linked to antimicrobial compound synthesis and resistance, along with antiphage defense systems, highlights the importance of biotic interactions in driving microbial community succession and shaping short-term responses to environmental fluctuations.

Antarctica

Anaerobic breviate protist survival in microcosms depends on microbiome metabolic function.

Anoxic and hypoxic environments serve as habitats for diverse microorganisms, including unicellular eukaryotes (protists) and prokaryotes. To thrive in low-oxygen environments, protists and prokaryotes often establish specialized metabolic cross-feeding associations, such as syntrophy, with other microorganisms. Previous studies show that the breviate protist Lenisia limosa engages in a mutualistic association with a denitrifying Arcobacter bacterium based on hydrogen exchange. Here, we investigate if the ability to form metabolic interactions is conserved in other breviates by studying five diverse breviate microcosms and their associated bacteria. We show that five laboratory microcosms of marine breviates live with multiple hydrogen-consuming prokaryotes that are predicted to have different preferences for terminal electron acceptors using genome-resolved metagenomics. Protist growth rates vary in response to electron acceptors depending on the make-up of the prokaryotic community. We find that the metabolic capabilities of the bacteria and not their taxonomic affiliations determine protist growth and survival and present new potential protist-interacting bacteria from the Arcobacteraceae, Desulfovibrionaceae, and Terasakiella lineages. This investigation uncovers potential nitrogen and sulfur cycling pathways within these bacterial populations, hinting at their roles in syntrophic interactions with the protists via hydrogen exchange.

Anaerobiosis

[Chemical analysis of the integument and digestive gland of Crangon crangon (Linné) (Crustacea, Decapoda) by x ray spectography. Quantitative variations in the elements of calcium, phosphorus, sulfur, and magnesium during the intermolt cycle].

Electron probe microanalysis is a very suitable method for qualitative and quantitative analysis of calcium, phosphorus, sulfur and magnesium occurring within integument and digestive gland; variations related to intermolt cycle can be compared.

Animals

Unveiling microbial communities and biogeochemical cycles in Antarctic colored snow.

Snow cover, the extensive terrestrial habitat in Antarctica, sometimes exhibits vivid coloration, yet the structure and function of its microbial communities remain poorly characterized. Using metagenomic sequencing of red snow (RS) and green snow (GS) from the Fildes Peninsula, we found that bacterial, eukaryotic, and archaeal relative abundances were 85.82%, 13.52% and 0.16%, respectively. &#x3b2;-Diversity differed significantly between RS and GS across these three domains (P&#x2009;<&#x2009;0.05). Dominant bacterial phyla included Bacteroidota (RS: 62.61%; GS: 38.72%) and Pseudomonadota (RS: 32.80%; GS: 54.10%). Among eukaryotes, Chlorophyta (RS: 58.10%; GS: 52.98%) and Basidiomycota (RS: 14.80%; GS: 8.08%) were prevalent. Nanobdellota dominated archaea, with lower abundance in RS than GS. In the algal community, Sanguina, Gonium and Chloromonas were significantly enriched in red snow, while Chlorella and Micractinium were enriched in green snow (P&#x2009;<&#x2009;0.05). Marker genes associated with carbon (C), nitrogen (N), phosphorus (P) and sulfur (S) cycles were identified in green and red snow. Aerobic respiration and phosphate regulation were significantly enriched in red snow, while CO oxidation, fermentation, and denitrification were significantly enriched in green snow. Key microbial genera associated with these functional pathways also varied. In the denitrification of red snow, Stutzerimonas was the most abundant genus, while Janthinobacterium was abundant in green snow. Nitrification-related genes were detected only in red snow based on the present metagenomic data. The network of the red snow microbial community was potentially more complex and resistant based on topology, which not only benefited its own long-term survival but might also have potentially influenced the positive feedback effect of snowmelt by maintaining a low-albedo snow surface. This provided an ecological implication under climate warming: the expansion of red snow patches showed the potential to the increase nitrate runoff export, which would affect nitrogen nutrient levels in coastal Antarctic waters. Overall, this study used metagenomics to compare the multidomain (bacteria, archaea and eukaryotes) composition and diversity between red snow and green snow, and directly linked key microbial taxa with functional genes of biogeochemical cycles. This study provided new insights into the biological characteristics and functional potential of Antarctic colored snow.

Snow

Microbial succession and assembly shaped by sulfur, spatial partitioning, and water flow in a volcanic acidic river of northern Patagonia.

Extreme acidic environments represent natural laboratories for investigating the mechanisms of microbial community assembly, yet the ecological processes structuring these communities remain incompletely understood. Here, we investigate how spatial partitioning, hydrodynamics, and colonization history shape microbial succession in a unique sulfur-rich, acidic river of volcanic origin in northern Patagonia. We combined 16S rRNA gene profiling and shotgun metagenomics with a multi-scale experimental framework encompassing water column fractionation and colonization assays under native and controlled conditions. Microbial diversity was strongly influenced by spatial fractionation, with free-living communities exhibiting higher richness and temporal variability than particle-associated assemblages. Water flow modulated community structure, increasing evenness in free-living fractions under high-flow conditions, but had limited impact on particle-attached communities. Colonization of sulfur-beads followed a structured successional trajectory, with autotrophic sulfur oxidizers dominating early stages and heterotrophs adapted to biofilm lifestyles increasing over time. Ex situ recolonization assays revealed strong priority effects, with initial colonizers determining successional trajectories. Turnover analyses revealed that the balance among stochastic and deterministic assembly processes shifted across communities with pronounced stochasticity in the water column and flow-dependent effects in free-living communities, while biofilm associated communities on sulfur-beads exhibited stronger contribution of deterministic selection. These ecological patterns were mirrored by functional differentiation, with gene enrichment analyses revealing adaptive signatures of substrate attachment and resource acquisition. By integrating fine-scale environmental variation with colonization dynamics, this study reveals how microscale habitat structure and temporal fluxes jointly modulate microbial community assembly rules, offering a nuanced framework to dissect ecological processes in extreme systems.

Sulfur

Two worlds beneath: Distinct microbial strategies of the rock-attached and planktonic subsurface biosphere.

BACKGROUND: Microorganisms in groundwater ecosystems exist either as planktonic cells or as attached communities on aquifer rock surfaces. Attached cells outnumber planktonic ones by at least three orders of magnitude, suggesting a critical role in aquifer ecosystem function. However, particularly in consolidated carbonate aquifers, where research has predominantly focused on planktonic microbes, the metabolic potential and ecological roles of attached communities remain poorly understood. RESULTS: To investigate the differences between attached and planktonic communities, we sampled the attached microbiome from passive samplers filled with crushed carbonate rock exposed to oxic and anoxic groundwater in the Hainich Critical Zone Exploratory and compared it to a previously published, extensive dataset of planktonic communities from the same aquifer ecosystem. Microbial lifestyle (attached vs. planktonic) explained more variance in community composition than redox conditions, prompting us to further investigate its role in shaping functional and activity profiles. Metagenomic analysis revealed a striking taxonomic and functional segregation: the 605 metagenome-assembled genomes (MAGs) from attached communities were dominated by Proteobacteria (358 MAGs) and were enriched in genes for biofilm formation, chemolithoautotrophy, and redox cycling (e.g., iron and sulfur metabolism). In contrast, the 891 MAGs from planktonic communities were dominated by Cand. Patescibacteria (464 MAGs) and Nitrospirota (60 MAGs) and showed lower functional versatility. Only a few genera were shared, and even closely related MAGs (>&#x2009;90% average nucleotide identity) differed in assembly size and metabolic traits, demonstrating lifestyle-specific functional adaptation. Analysis of active replication indicated that the active fraction of the attached community was primarily represented by the most abundant MAGs. Planktonic communities featured a higher fraction of active MAGs compared to attached communities, but overall with lower relative abundances. CONCLUSIONS: The high abundance, metabolic specialization, and carbon fixation potential of attached microbes suggest that they are key drivers of subsurface biogeochemical processes. Carbonate aquifers may act as much larger inorganic carbon sinks than previously estimated based on CO2 fixation rates of the planktonic communities alone. Our findings underscore the need to incorporate attached microbial communities into models of subsurface ecosystem function. Video Abstract.

Plankton

Biogeographic patterns and metabolic potential of chemoautotrophic communities in cold seep sediments across subarctic to tropical regions.

Cold seeps are hotspots of chemoautotrophic primary production, yet how chemoautotrophic community structure and dark carbon fixation (DCF) vary across climatic regions remains unclear. We combined incubation experiments and metagenomics to compare chemoautotrophic communities in cold seep sediments across northwestern Pacific marginal seas, from the subarctic Okhotsk Sea to the tropical South China Sea. Incubation experiments demonstrated higher DCF rates in tropical (1.20&#x202f;&#x3bc;g&#x202f;C g-1 day-1) than subarctic (0.35&#x202f;&#x3bc;g&#x202f;C g-1 day-1) sediments (p&#x202f;=&#x202f;0.002). Analyses of 133 cold seep sediment metagenomes (26 in this study and 107 from NCBI, spanning 0-240 cmbsf) revealed that subarctic chemoautotrophs were dominated by Chloroflexota, Asgardarchaeota, Campylobacterota, and Thermoproteota, whereas tropical chemoautotrophs were dominated by Pseudomonadota and Asgardarchaeota, with higher alpha diversity and integrated co-occurrence networks observed in tropical sediments. Representative genes of the Calvin-Benson-Bassham (CBB) cycle, the 3-hydroxypropionate/4-hydroxybutyrate (3HP/4HB) cycle, and the 3-hydroxypropionate (3HP) bicycle were enriched in tropical sediments, whereas reductive tricarboxylic acid (rTCA) cycle and Wood-Ljungdahl (WL) pathway genes predominated in subarctic sediments. Genome-resolved analysis showed that CBB cycle potential was concentrated in Pseudomonadota in tropical sediments and in Asgardarchaeota in subarctic sediments, and was most strongly correlated with nitrogen metabolism genes, whereas rTCA cycle potential was concentrated in Campylobacterota across both sediments, coupled strongly to sulfur metabolism. Depth profiling revealed surface communities dominated by Campylobacteria using rTCA cycle in subarctic sediments, and Alphaproteobacteria and Gammaproteobacteria using CBB cycle in tropical sediments, whereas the WL pathway predominated in Dehalococcoidia and Lokiarchaeia in the deeper layers of both regions. This study provides a comparative framework for chemoautotrophic biogeography across climatically distinct seeps.

Climate zones

Operando X-ray Spectroscopy Unveils Light-Driven Redox Selectivity for Photo-Assisted Li-S Batteries.

Photo-assisted lithium-sulfur batteries (PALSBs) can accelerate the sluggish redox kinetics of sulfur cathodes. However, the introduced light field inevitably complicates interfacial reactions, necessitating in situ evidence under realistic operating conditions. Here, we construct a TiO2/FePS3 (TF) p-n junction bifunctional photoelectrode and employ a multiphysics-coupled in situ x-ray spectroscopic technique to elucidate light-regulated catalysis from the interface into the bulk. Operando low-energy XPS identifies potential interfacial catalytic sites. High-energy operando XAFS is, for the first time, applied in PALSBs to track the K-edge position of catalytic centers throughout cycling. The results show that the reversible dynamic valence evolution synchronizes with the stepwise sulfur redox process, revealing that photogenerated carriers and electrocatalytic electrons act cooperatively to promote polysulfide conversion. DFT calculations corroborate, from thermodynamic and kinetic perspectives, that illumination strengthens polysulfide anchoring and lowers the energy barriers of key conversion steps, consistent with the operando spectroscopic observations. Benefiting from this photoelectrochemical co-regulation, the TF-based PALSB maintains excellent reversible capacity and cycling stability under high sulfur loading and low electrolyte content. This work establishes a characterization paradigm for the rational design of high-performance photo-assisted Li-S cathodes.

operando x&#x2010;ray spectroscopy

Predicting coarse-grained representations of biogeochemical cycles from metabarcoding data.

MOTIVATION: Taxonomic analysis of environmental microbial communities is now routinely performed thanks to advances in DNA sequencing. Determining the role of these communities in global biogeochemical cycles requires the identification of their metabolic functions, such as hydrogen oxidation, sulfur reduction, and carbon fixation. These functions can be directly inferred from metagenomics data, but in many environmental applications metabarcoding is still the method of choice. The reconstruction of metabolic functions from metabarcoding data and their integration into coarse-grained representations of biogeochemical cycles remains a difficult bioinformatics problem today. RESULTS: We developed a pipeline, called Tabigecy, which exploits taxonomic affiliations to predict metabolic functions constituting biogeochemical cycles. In a first step, Tabigecy uses the tool EsMeCaTa to predict consensus proteomes from input affiliations. To optimize this process, we generated a precomputed database containing information about 2404 taxa from UniProt. The consensus proteomes are searched using bigecyhmm, a newly developed Python package relying on Hidden Markov Models to identify key enzymes involved in metabolic function of biogeochemical cycles. The metabolic functions are then projected on coarse-grained representation of the cycles. We applied Tabigecy to two salt cavern datasets and validated its predictions with microbial activity and hydrochemistry measurements performed on the samples. The results highlight the utility of the approach to investigate the impact of microbial communities on biogeochemical processes. AVAILABILITY AND IMPLEMENTATION: The Tabigecy pipeline is available at https://github.com/ArnaudBelcour/tabigecy. The Python package bigecyhmm and the precomputed EsMeCaTa database are also separately available at https://github.com/ArnaudBelcour/bigecyhmm and https://doi.org/10.5281/zenodo.13354073, respectively.

Metagenomics

Novel Insights into Metagenomic-Assembled Genomes from Layer Chicken Housing Environment.

Culture-independent techniques are playing a major role in exploring unique and novel microbial communities from complex ecosystems, leading to an outstanding impact on our basic understanding of the tree of life. Microbial communities are not extensively studied in layer chicken housing environments, particularly from the point of view of taxa carrying antimicrobial resistance genes, virulence genes and their functional potential. This study aimed to extract metagenomic-assembled genomes (MAGs) from the Illumina short-reads shotgun metagenomics sequenced data that originated from an Alberta poultry barn environment and then to study host tracking of antimicrobial resistance genes (ARGs) and the roles of genes involved in functions related to ammonia production, short-chain fatty acid (SCFA)-related pathways, sulfur metabolism, methane emission, stress and disinfectant-related pathways. A total of 251 high-quality MAGs were extracted, including 249 bacterial and two archaeal genomes from sequencing data of 30 metagenomic sequencing samples comprising 15 air and 15 manure samples collected from 15-layer farms. Interestingly 22 bacterial MAGs were not classified to species levels using GTDB-based classification. ARGs were mainly harbored by the genera Staphylococcus, Alistepes, Romboutsia, and Enterococcus. Bacteroides is a main taxon carrying ARGs in air samples. Ammonia production-related genes were mainly tracked in Staphylococcus, Ruminococcus and Corynebacterium genera. The assimilatory sulfate reduction genes responsible for sulfur metabolism and hydrogenase-related genes responsible for hydrogen cycling were traced from Staphylococcus originated from both air and manure. The current study provides characterizations of MAGs from a poultry housing environment by linking microbial taxa with virulence, resistance, and metabolic functions. The findings emphasize the role of microbiota in shaping gas emissions and AMR, with implications for poultry health and worker's safety and the ultimate aim of sustainable poultry production.

Animals

Elevation-structured viral ecological strategies along glacier-fed rivers on the Qinghai-Tibet Plateau.

The Qinghai-Tibet Plateau, a climate-vulnerable source of Asia's major rivers, harbors underexplored viral communities critical to ecosystem functions. By integrating 597 metagenomes from the Yangtze, Yellow, Lancang, and Yarlung Tsangpo rivers with 85 public available glacial metagenomes (Tibetan Glacier Genome and Gene catalog), we built the Glacier-to-River Virome Catalogue, encompassing 36,358 vOTUs and 897,250 viral protein clusters, to decode viral adaptation and ecological influence across elevation gradients. Our results reveal that high-altitude conditions favor viruses with elevated Guanine-Cytosine content, larger genomes and more cold-adaptation genes. A central finding is a systematic viral lifestyle shift from temperate in glaciated regions to lytic viruses downstream, accompanied with decline of pathogens carrying antibiotic resistance genes along the glacier-to-river gradients. Further, viral auxiliary metabolic genes transition from glacier nutrient scavenging (e.g., nitrogen and sulfur transporters) to downstream mineralization processes (e.g., denitrification) in plains highlights their role in biogeochemical cycling. These findings position viruses as pivotal regulators of microbial community structural and functional dynamics to glacier-to-river gradient change and biogeochemistry in the Qinghai-Tibet Plateau, providing critical insights into climate response in vulnerable Asian water towers.

Ice Cover