ISME Communications

Linking bacteriophages (phages) to their hosts remains a fundamental challenge to understanding microbial ecology, viral evolution, and horizontal gene transfer. Although phages are the most abundant biological entities on Earth, the majority of them remain uncharacterized due to the lack of efficient host-linking approaches. Traditional methods, such as plaque assays, have significant limitations as they depend on visible lysis and therefore fail to detect phages that do not form plaques. Conversely, shotgun metagenomics can recover viral genomes directly from environmental samples; however, it cannot directly link phages to their bacterial hosts. In this study, we addressed this limitation by tackling the critical question of "who infects whom?" through the development of a novel, culture-independent approach that utilises an anucleate bacterial minicells-based platform to enrich for phages capable of infecting a target bacterial host. To validate our approach, purified Escherichia coli minicells were exposed to a concentrated viral fraction derived from sewage samples. Genomic DNA from phages that successfully infected and interacted with the E. coli minicells was isolated, amplified, and sequenced. Metagenomic analysis revealed a distinct E. coli-specific virome, including several putatively novel phage species and genera. This platform effectively bridges the gap between culture-dependent and metagenomic methods, providing a scalable, host-targeted tool for identifying phage-host pairs. Our approach also opens new opportunities for studying phage-host interaction networks in complex microbial ecosystems and enhances our ability to investigate viral diversity, host specificity, and the ecological roles of phages in natural environments.

Agriculture is a major source of anthropogenic greenhouse-gas emissions, being the largest source of nitrous oxide (N2O), an extremely potent greenhouse gas and ozone-depleting agent. Soil N2O emissions are largely driven by microbial nitrification, in which ammonia-oxidizing microorganisms catalyze the rate-limiting oxidation of ammonia to nitrite. Nitrification not only mediates N2O fluxes but also reduces fertilization efficiency and contributes to eutrophication through nitrate leaching. Bacteriophage (phage)-based control of microbial communities is rapidly garnering interest in a number of fields; however, phages infecting ammonia-oxidizers are largely uncharacterized, with only one lytic phage having been described, limiting the potential for phage-mediated nitrification inhibition. Here, we show the largest set of phages infecting ammonia-oxidizing bacteria (AOB) to date: 45 dsDNA phages identified from urban wastewater, infecting four AOB species, with 16 demonstrating cross-genus host ranges and capable of eliminating nitrification activity in liquid cultures. Phylogenetic and taxonomic analyses revealed six proposed families of Caudoviricetes and numerous monophyletic clades, likely representing higher-level lineages. Structure-guided genome annotation revealed these phages to carry diverse and seldom-seen auxiliary metabolic genes, ranging from a complete ABC transporter cassette to a large antimicrobial resistance gene cluster. These results unveil the previously unrecognized diversity of AOB phages and their potential to alter host physiology. Our data demonstrates a broad taxonomic and functional repertoire of cultured AOB phages, greatly expanding the panel of known AOB phages, suggesting that viruses play a more significant and complex role in nitrification than previously understood. Moreover, we outline an effective methodological framework for isolating AOB phages from environmental samples. These results will help reframe our understanding of environmental nitrification and enable intensified selection and use of phages for its control.

Quantifying the abundance and activity of bacteria within populations and communities is fundamental to systems microbiology and microbiome research. Yet direct microscopic cell counting remains low-throughput, labor-intensive, and prone to user variability, leading many researchers to rely on indirect proxies such as optical density or multicopy marker-gene quantification. These indirect approaches do not distinguish between active and inactive cells and can obscure ecological interpretation. Here, we introduce MATRIX (Microbial Activity and Total cell quantification via Rapid Imaging and eXtraction), an efficient workflow that integrates sample extraction, fluorescence staining, automated microscopy and image analysis, and Bayesian statistical inference to quantify total and redox-active cells and derive single-cell measurements for environmental microbial populations and communities. We demonstrate its reproducibility and versatility using both cultured isolates and high-diversity soil communities. The resulting quantitative, phenotypic datasets provide rapid, direct measurements of population of community size and activity, enabling well-powered analyses that strengthen mechanistic insight into microbial responses and improve the ecological grounding of microbiome studies. ImportanceMicrobiome studies commonly rely on relative abundance data, which cannot distinguish whether compositional shifts reflect true population growth, declines in total community size, or both. Without explicit measurements of population and community sizes, mechanistic interpretation of microbiome dynamics remains incomplete. Here we present a rapid, throughput workflow, MATRIX, that quantifies both total and redox-active bacterial cells from environmental samples. By integrating single-cell phenotypes with community-level metrics, this approach anchors microbiome datasets in direct ecological accounting rather than proxies. These measurements can clarify whether observed changes in community structure represent shifts in abundance, activity, or both, improving inference about microbial responses to stress or environmental change. MATRIX therefore offers an efficient way to incorporate quantitative ecology into systems-microbiology and microbiome studies and to strengthen the link between microbial cellular physiology, community dynamics, and eco-system function. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=125 SRC="FIGDIR/small/712149v1_ufig1.gif" ALT="Figure 1"> View larger version (46K): org.highwire.dtl.DTLVardef@2e5883org.highwire.dtl.DTLVardef@b5412dorg.highwire.dtl.DTLVardef@1c9fbfaorg.highwire.dtl.DTLVardef@1bdde14_HPS_FORMAT_FIGEXP M_FIG C_FIG

IntroductionCaves represent unique, nutrient-limited windows into the deep biosphere, yet the microbiology of the deep terrestrial subsurface remains remarkably under-explored. In this work, we took advantage of a rare expedition into Gourgouthakas Cave (Crete, Greece), one of the worlds deepest vertical systems, which had remained untouched by humans for 19 years. MethodsWe performed a high-resolution vertical profiling of the caves microbiome by sampling rock surfaces across nine different depths down to 1,100 meters. Through extensive cultivation using various media and temperatures, we established a biobank of 820 bacterial isolates. ResultsTaxonomic identification of a 362-isolate subset revealed a diverse community spanning 25 genera and 4 phyla, dominated by Pseudomonas, Bacillus, and Stenotrophomonas. Beyond characterizing diversity, we explored the biotechnological potential of these subterranean microbes against major agricultural threats. Screening 70 representative isolates against six key pathogens, including Ralstonia solanacearum, Verticillium dahliae, and Phytophthora nicotianae, uncovered a significant group of strains with potent antagonistic activity, particularly within the Pseudomonas and Brevibacillus groups. Genomic sequencing of cave-derived Actinobacteria (Streptomyces and Nocardiopsis isolates) further highlighted this potential, revealing 142 biosynthetic gene clusters (BGCs); notably, over half of these showed little to no similarity to known clusters, suggesting a hidden reservoir of novel secondary metabolites. Finally, ex vivo trials showed that the Pseudomonas sp. SRL917 isolate, significantly reduced Botrytis cinerea infections on tomato leaves, even surpassing the performance of a commercial biocontrol agent. DiscussionCollectively, our results demonstrate that deep karstic systems are not just geological wonders but vital hotspots for microbial innovation with tangible applications for sustainable agriculture.

Modern agriculture faces the dual challenge of increasing food production while reducing reliance on synthetic inputs that degrade soil ecosystems and compromise long-term sustainability. Algal biomasses have emerged as promising biostimulants, yet their capacity to selectively modulate soil microbiomes and plant growth-promoting bacterial (PGPB) functions remains poorly understood. Here, we evaluated 17 phylogenetically and biochemically diverse macro- and microalgal extracts to determine their effects on soil microbial communities, bacterial functional traits, and tomato (Solanum lycopersicum) performance. Algal supplementation selectively restructured microbial communities without disrupting overall diversity, promoting taxa associated with plant-beneficial functions, including Bacillus, Pseudomonas, and Actinobacteria. In soil microcosms, specific treatments increased culturable bacterial abundance by up to [~]200-fold relative to the initial soil. Functional assays revealed strong extract- and strain-dependent responses. Siderophore production and ACC-associated activity were the most consistently stimulated traits, whereas auxin production, biofilm formation, and proline synthesis showed more variable or context-dependent responses. Notably, Ulva sp. (AP11.2) enhanced siderophore production across the majority of isolates, with over four-fold increases in individual strains, while Arthrospira-derived extracts (NG4.1, N14.1) consistently promoted bacterial growth across multiple taxa. In contrast, extracts such as Nannochloropsis sp. (NG6.1) and Tetraselmis sp. (NG5.1) induced more selective or inhibitory responses, highlighting extract-dependent functional trade-offs. Integration of biochemical and biological datasets identified fatty acid composition as a key axis associated with microbial functional responses, whereas volatile organic compound profiles showed weaker and less consistent associations. These microbiome and functional shifts translated into improved plant performance, with algal treatments increasing tomato growth and reducing mortality by approximately 20% under non-sterile soil conditions characterized by pathogen-associated pressure. Together, these findings demonstrate that algal extracts act as selective modulators of soil microbiomes, enhancing specific bacterial functions and improving plant performance in a context-dependent manner. This work provides a mechanistic framework for the development of targeted algal-based biostimulants aimed at reducing agrochemical inputs and advancing microbiome-informed agriculture.

Chlorophyll is one of the most abundant pigments on Earth. Although its degradation is well understood in plants, the role of prokaryotes in this process - despite their vast metabolic capabilities - remains unknown. Recent developments in the field of AI-predicted protein structures have opened new avenues for investigating functional homologies between evolutionary-distant organisms previously inaccessible through traditional sequence- or profile-based methods. Here, we present the first evidence of Chlorophyll a (Chl a) degradation by prokaryotes, discovered through a novel bioinformatic framework which bridges the gap across the domains of life via structural alignments of functionally characterised plant proteins, followed by structure similarity graph-based clustering. Metagenomic sequencing data was assembled and binned, yielding over 70,000 medium- to high-quality genomes in total, furthermore publicly available datasets containing genomes from prokaryotic isolates, metagenome-assembled genomes, as well as single-cell genomes were then mined for prokaryotic homologues of Chl a degradation genes. Our analysis revealed over 400 genomes from diverse taxonomic groups and habitats that possess a complete pathway, more than 50% stemming from isolates. Additionally, many other genomes harbour partial pathways, suggesting that Chl a degradation capabilities are globally widespread across diverse ecosystems. We then validated our in silico findings using the model organism Shewanella acanthi and confirmed its Chl a degradation capability via growth experiments, fluorescence spectroscopy and HPLC analyses. Our findings reveal a previously unrecognised pathway in prokaryotes, highlighting the power of structure-based remote homology detection for uncovering metabolic capabilities and evolutionary relationships.

Jeevamrit, a fermented liquid microbial bioinoculant, is increasingly recognized as a soil and plant growth enhancer in sustainable agricultural practices such as zero-budget natural farming; however, the genetic pool attributed to the functionality by microbial constituents remained poorly resolved. In this study, we reconstructed 16 high-quality metagenome-assembled genomes (MAGs) from Jeevamrit under two critical mixing regimes to elucidate the contributions of key taxa affiliated with Pseudomonadota, Bacillota, and Bacteroidota to nutrient cycling and plant growth promotion. Functional annotation revealed a stratified (upper-middle-lower) metabolic organization with interdependent interactions driving combinatorial functionality. Upper-layer MAGs, including Klebsiella and Pseudaeromonas exhibited organic polymer degradation, glycolytic and oxidative carbon metabolism, respiratory versatility with nutrient acquisition traits such as nitrogen fixation and phosphate/iron solubilization. In middle and lower-layer, Trichococcus, Clostridium, and Veillonella displayed fermentative and reductive metabolisms that facilitate the turnover of partially degraded organic matter and production of organic acids, nitrogen transformations, and metabolic cross-feeding under fluctuating redox conditions. Phylogenetic and taxono-genomic analyses support the designation of eight MAGs as novel species (sp. nov.), for which new names are proposed. A consensus genetic map deciphered traits linked to phytohormone biosynthesis (IAA, cytokinins), quorum-sensing-mediated rhizosphere colonization, and abiotic stress tolerance. Ultimately, this culture-independent metagenome study underpins field-relevant mechanistic insights into an indigenous microbial inoculant, highlighting its potential as a locally adapted solution for sustainable agriculture. ImportanceMicrobial bioinoculants such as Jeevamrit are increasingly used in sustainable agriculture, yet their functional basis remains insufficiently understood due to the limited genome-level resolution of constituent microbiota. This study addresses this gap by applying genome-resolved metagenomics to connect microbial diversity with agriculture-associated ecological functions in a complex fermented local formulation. By integrating metabolic reconstruction with plant-associated functional traits, this study advances understanding of how microbial consortia contribute to nutrient mobilization, rhizosphere competence, and environmental adaptability. This highlights the contribution of yet-to-be-cultivated but metabolically versatile taxa, which are important to the functions of agricultural ecosystems. By uncovering the roles of key microbes and their cooperative metabolic interactions, this work provides a scientific basis for improving Jeevamrit formulations through informed selection or enrichment of functionally important microbes to enhance nutrient delivery and plant growth performance.

Coastal marine environments are increasingly recognised as reservoirs of antimicrobial-resistant (AMR) pathogens. However, it remains challenging to recover high-quality genomes of clinically relevant bacteria present at low abundance from complex natural systems. Here, we applied culture-enriched metagenomics to systematically track the diversity and dynamics of major AMR pathogens within the coastal marine system of St. Johns Island, Singapore, as a model ecosystem for pathogen surveillance. Selective media-based enrichment recovered 773 metagenome-assembled genomes (MAGs) from 92 multi-matrix environmental samples, which includes coastal water, sediment, and seaweed, capturing diverse AMR ESKAPE and Vibrio species. Distinct bacterial signatures and dispersal patterns were observed in each niche, for example, microbes that signal human impact was detected at the beach, while fish-associated pathogens were present at the aquaculture facility outlet. Notably, the high-quality MAGs enabled subspecies-level identification and supported the AMR gene detection across six distinct coastal habitats. Detailed differences in the recovery of specific pathogens across enrichment media were also identified, demonstrating the methods efficacy in finding media suitable for surveillance of specific organisms, such as deciding between liquid or solid formulations. MAGs recovered from culture-enriched metagenomics were highly similar to genomes obtained from pure isolates, as demonstrated for Klebsiella pneumoniae. The preserved culture-enriched stocks were capable of recovering organisms of interest when individual isolates were required for further study. Overall, our findings highlight the utility of culture-enriched metagenomics as a cost-effective, sensitive approach to uncovering the genomic landscape of pathogens with environmental reservoirs, with implications for AMR surveillance and ecological risk assessment.

Viruses of the phylum Nucleocytoviricota are paradigm-shifting entities due to their exceptionally large genomes and complex gene repertoires, which blur the lines between viral and cellular life. Previous research has leveraged computational approaches to map their extensive diversity, while experimental work has started to elucidate the intricate networks they form with hosts, bacterial and other symbionts, co-infecting virophages and other mobile genetic elements. Here, we analyzed deeply sequenced metagenomes sampled from wastewater treatment plants in Denmark, an environment with rapid abiotic changes and known to be a hotbed of dense microbial communities. We discovered 61 novel nucleocytoviruses, 15 virophages and 14 polinton-like viruses. By integrating them with microbial contigs into a multilayered interaction network, we explore the role of these entities on a mesocosm scale. We demonstrate the centrality of nucleocytoviruses, positioning them as important players shaping microbial community structure and evolution in wastewater treatment plants.

Bacterivorous protists are central to aquatic food webs, mediating the transfer of carbon and nutrients to higher trophic levels through the microbial loop. In natural communities, a major challenge remains in linking protist grazing activity to environmental sequences and identifying which taxa are actively feeding at the community level. Here, we present the first application of quantitative stable isotope probing (qSIP) in a grazing experiment. By combining qSIP with 18S rRNA gene amplicon sequencing, we linked prey assimilation to the identity of active protist predators at the operational taxonomic unit (OTU) level. In a replicated 36-h bottle-experiment, live 13C, 15N-labeled Limnohabitans planktonicus cells were added to natural samples from a lake pelagic site and its main inlet stream. Although hydrologically connected, protist richness was higher in the inlet than in the lake, yet a similar number of taxa incorporated prey biomass, comprising 108 OTUs in the inlet and 107 OTUs in the lake, including both rare and abundant taxa. Of these, 26 OTUs were labeled at both sites. The most strongly labeled protist in the inlet was a putative phago-mixotrophic prasinophyte, whereas in the lake it was an uncultured chrysophyte. Across sites, prey incorporation occurred in a broad range of taxa, including heterotrophs (e.g., choanoflagellates, cercozoans, ciliates, centrohelids), putative mixotrophs (e.g., cryptophytes, chrysophytes, dictyochophytes), parasitic protists and fungi. These results demonstrate the potential of qSIP to resolve trophic interactions at fine taxonomic resolution in natural communities and highlight new opportunities to study complex microbial food webs across environmental systems.

Succession is an ecosystem building process in which a habitat and its community interact predictably by increasing diversity, habitat engineering, and ultimately reaching a climax community, where other ecological processes influence its dynamic. Key to succession is the establishment of primary producing habitat forming species, which drives niche differentiation leading to increasing diversity. Here, we use the primary colonizing and habitat forming seagrass, Halophila ovalis, to demonstrate that it drives bacterial succession in a meadow ecosystem, and its microbiome, both rhizoplane and phylloplane, are under host selection. Many of the characteristics attributed to plants for habitat modification are microbial processes such as nitrogen fixation and sulfide detoxification and succession is often extrapolated to such processes. To determine if succession (increasing diversity) or selection (reducing diversity) drives changes in diversity (16S rRNA gene) or habitat modifying processes (nifH, soxB, aprA, dsrA), molecular analysis was performed along chronosequences (as a proxy for succession) of seagrass patches. Bacterial communities were sampled within the meadow ecosystem and the microbiomes of H. ovalis (both rhizoplane and phylloplane). Genes involved in biogeochemical cycling are differentially impacted within the microbiome and meadow sediments, with only nifH under succession. All genes from all niches sampled for community analysis are under directional community trajectories, despite being subjected to distinct ecological processes, signifying that many ecological processes, including succession and host association, drive community assemblage.

Characterizing community composition is fundamental to understanding microbial community function. Recent advances in Oxford Nanopore Technology (ONT) long-read sequencing now allow community profiling using full-length gene amplicons, affording better taxonomic resolution than standard short-amplicon Illumina sequencing. However, robust ONT-compatible profiling workflows are lacking. To address this, we have created the Amplicon Consensus Taxonomy (ACT) pipeline for classifying long-read amplicons. ACT combines output from three existing pipelines -Emu, Sintax, and LACA - to leverage the strengths of each while offsetting their individual limitations. We also developed the ACT database (ACT-DB), a sequence-similarity-aware reference database that clusters highly similar sequences into multi-taxa groups to reduce overclassification. We benchmarked ACT performance against Emu and Sintax using a defined simple mock community, simulated datasets, and a complex rhizosphere community supplemented with novel species. While ACT exhibited generally comparable or superior performance across datasets, ACT demonstrated a marked advantage over Emu and Sintax in identifying novel and low-abundance taxa in both simple and complex communities, resulting in significantly higher species-richness estimates that better reflected those observed in prior Illumina amplicon studies. Furthermore, by clustering ambiguous reference sequences, ACT-DB allowed ACT to resolve reads to meaningful multi-species groups, improving resolution without coercing artificial precision. Together, ACT and ACT-DB form a robust long-read amplicon profiling workflow that confidently identifies known species while reducing overclassification and preserving low-abundance and unknown taxa.

Competition for a single limiting resource is expected to lead to competitive exclusion, yet diverse microbial communities persist even in nutrient-poor environments. Cross-feeding of essential metabolites is one mechanism that can promote coexistence between species, but its contribution is difficult to pinpoint experimentally. Here, we studied a prototroph-auxotroph pair growing on a single carbon source in chemostats. In minimal medium, the prototroph Comamonas testosteroni (Ct) supplied thiamine to the thiamine-auxotroph Ochrobactrum anthropi (Oa), allowing stable coexistence in agreement with consumer-resource theory. Contrary to our expectation that supplying thiamine would remove the dependency and lead to exclusion of Ct, coexistence persisted even when thiamine was supplemented. Our theoretical anlaysis showed that coexistence between competitors can be maintained by trace concentrations of an additional metabolite if it is taken up at sufficiently high affinity by the weaker competitor. Consistent with this prediction, targeted metabolomics and spent-medium assays identified growth-enhancing compounds at micromolar concentrations in Oa spent medium and as residues in fresh medium. Model analysis further showed that such weak positive effects can qualitatively change coexistence outcomes in chemostats while remaining undetected in standard batch interaction assays. Together, our results show that trace metabolites and subtle positive effects can reshape coexistence outcomes and should be incorporated into ecological models and interaction measurements.

BackgroundCloud water harbors diverse microbial communities despite its extreme oligotrophic conditions. However, the ecological and evolutionary dynamics of viruses in these transient atmospheric habitats remain poorly understood. Clouds have traditionally been regarded primarily as passive carriers of microorganisms rather than as active ecological environments supporting microbial interactions. In this study, cloud water was sampled at Mount Verde, Cape Verde Islands (744 m a.s.l.). We performed metagenomic analyses of iron-flocculated cloud water alongside genome analyses of a bacterial isolate and metagenome-assembled genomes using established bioinformatic approaches. Viral diversity, virus-host interactions, metabolic functions, genetic adaptations, and viral population dynamics across cloud events were investigated. In addition, UV-B resistance experiments were conducted for a novel cloud-water isolate. ResultsWe isolated 24 cloud water bacteria, including four novel species lineages, and recovered 62 high-quality metagenome-assembled genomes, including 10 novel species lineages. We identified 458 viral operational taxonomic units and 237 virus-host linkages across diverse prokaryotic hosts, revealing active viral predation across diverse bacterial taxa. In addition, CRISPR spacer matches from isolates of novel bacterial lineages such as Deinococcus nubigenus MPC36 were found. Viruses carried genes involved in host adaptation to environmental stressors, including cold-shock response, UV radiation resistance, and osmotic stress. In addition, viral populations exhibited SNP-level microdiversity and shifts in single-nucleotide variant composition across temporally proximate cloud events, indicating rapid population turnover. Experimental characterization of the cloud isolate Curtobacterium nubigenum MPC39 further revealed pronounced resistance to UV-B radiation and the presence of an inducible prophage, Curtobacterium phage vB_CnuS_Cirrus1 assigned to the new viral family Nebulaviridae, which could be validated in transmission electron microscopy. Reconstructed genomes from cloud-associated bacteria encoded carbon monoxide dehydrogenase genes and UV resistance genes, suggesting trace gas metabolism and enhanced UV protection as survival strategies in oligotrophic cloud droplets. In silico replication rates estimated using iRep were consistent with active bacterial replication at the time of sampling. ConclusionsTogether, these findings demonstrate that clouds are not merely passive carriers of microorganisms, but dynamic atmospheric ecosystems in which virus-host interactions shape microbial diversity and contribute to microbial turnover, atmospheric dispersal, and cloud-water biogeochemistry.

Anaerobic methanotrophic (ANME) archaea are important players in the microbial methane cycle, mitigating methane emissions from anoxic environments. ANME are found ubiquitously in methane-rich sediments, where they can couple anaerobic methane oxidation (AOM) to different electron acceptors such as sulfate, metal oxides, and natural organic matter (NOM). However, we still lack understanding of the geochemical niches and preferred metabolic pathways of most ANME subclades. Here, we investigated the genomic potential and ecophysiology of ANME-2a with respect to metal-dependent AOM in brackish metal-rich coastal sediments. We assembled several high-quality ANME MAGs from subclades with high strain heterogeneity and analyzed the genomic potential for metal-AOM. Additionally, we monitored long-term enrichments with various electron acceptors from the same sediments. Ultimately, we recovered 8 novel genomes of ANME-2a that clustered with an uncharacterized genus with only 2 representatives in public databases for which we propose the name Candidatus Methanoborealis. The analysis of the MAGs showed two different clusters within this genus; one comprising of MAGs from the Baltic Sea that showed high potential for extracellular electron transfer (EET) required for metal-AOM, and another cluster form more diverse environments with less EET potential. The Baltic Sea Ca. Methanoborealis were the only canonical methanotrophs in the incubations during active methane oxidation and metal reduction. Our results contribute to the understanding of the phylogenomic and metabolic diversity in ANME subclades, which will help to further characterize novel ANME lineages from complex sediment samples.

Axenic cultivation of novel bacterial lineages, referred to as "gold standard in microbiology", remains challenging for fastidious or uncultured taxa due the challenges of replicating adequate growth conditions. We isolated strain PM69, a representative of the previously undescribed Bacillota class SHA-98, from a phenyl acid degrading, oligotrophic batch culture. By employing a broad spectrum of (anaerobic) culture techniques, biochemical, physiological, and genomic analyses, we characterised the strain as Thermoaminiphila catenidiffluenda, gen. nov., sp. nov., a thermophilic, strictly anaerobic, bacterium fermenting monosaccharides to acetate. Its motility, biofilm forming capacity, and ecological niche in biogas fermenters and hydrocarbon-associated habitats suggest adaptive strategies for harsh environments exhibiting e.g., high concentrations of aromatic compounds. This description of a new bacterial class not only expands the taxonomic diversity of phylum Bacillota but also provides insights into the metabolic versatility of yet uncultured microorganisms, with implications for carbon cycling and biotechnological applications. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=142 SRC="FIGDIR/small/718153v1_ufig1.gif" ALT="Figure 1"> View larger version (38K): org.highwire.dtl.DTLVardef@1501615org.highwire.dtl.DTLVardef@d9cfd6org.highwire.dtl.DTLVardef@1dc019borg.highwire.dtl.DTLVardef@ed6f3f_HPS_FORMAT_FIGEXP M_FIG C_FIG

Microbial biodiversity is central to ecosystem function, yet mechanistic insights into the cell biology of environmental organisms remain limited. The underlying challenges are twofold: most microbes remain uncultivable, and a persistent gap exists between field sampling and laboratory analyses. Here, we introduce the Advanced Mobile Laboratory (AML), a field-deployable platform that integrates confocal microscopy, image-enabled cell sorting, and cryo-preparation for expansion and electron microscopy. This setup enables immediate, standardized processing and analysis of environmental communities directly at the sampling site. We demonstrate its capability using marine eukaryotic plankton, showing how the AML enables multiscale investigations, from live imaging of natural communities to enabling ultrastructural and single-cell omics analyses, while minimizing sample degradation and enabling on-site experimentation. By bringing high-end sample preparation and analytical capacity into the field, the AML enables studying life in its natural context to mechanistically understand lifes diversity in the environment.

Microbial communities of geothermal habitats are central to understanding the evolution of life on Earth. Metagenomics has provided insight into the role of viruses in shaping microbial diversity of complex environments. However, identification of novel viruses is constrained by lack of marker genes and low nucleotide similarities between related viral taxa. While microbial and viral diversity have been explored in terrestrial hot springs and hydrothermal vent systems, other volcanic features remain underexplored. Fumaroles (steam vents) are geothermal features that heat groundwater with magma, releasing steam and volcanic gases such as CO2 and H2S. Comparatively physicochemically dynamic to hot springs, fumarole temperatures and gas emissions rapidly fluctuate with volcanic activity. Here, we describe viruses identified metagenomically from microbial mats hosted near basaltic fumaroles on the Big Island of Hawaii. To our knowledge, this is the first systematic survey of fumarole viruses. Our utilization of a sensitive profile-based approach for identification reveals high viral diversity in fumaroles, resulting in estimation of two undescribed order-level clades of Caudoviricetes (tailed phages). Viral metabolic genes provide evidence of viral-mediated adaptation of microbes to fumarole conditions. We describe patterns of viral diversity that diverge from the Bank model of viral ecology, hinting at viral dispersal between biofilms and high viral richness and evenness. Lastly, we provide a description of the first terrestrial geothermal environment dominated by Microviridae, previously only described in viral communities of deep ocean hydrothermal vents. This study offers important findings for exploration of viral ecology in extreme environments.

Background.Mycoviruses infect fungal cells and represent important components of the global virome with potential biological control applications. The rice blast pathogen Pyricularia oryzae causes devastating crop losses worldwide, yet its mycovirus diversity remains understudied. While traditional dsRNA extraction remains a standard method for virus discovery, recent advancements, such as monoclonal antibody (mAb)-based dsRNA enrichment, offer improved specificity and sensitivity for viral detection. Methods.We developed the monoclonal anti-dsRNA antibody-based metagenomics (MADAM) approach, integrating dsRNA enrichment using 2G4 monoclonal antibody, sequence-independent reverse transcription-PCR with random octamer primers, and Oxford Nanopore Technologies sequencing. Total RNA was extracted from four P. oryzae isolates collected from Yuanyang rice terraces (Yunnan, China). After nuclease treatment, dsRNA was enriched using anti-dsRNA antibodies, followed by strand-switching cDNA synthesis, PCR amplification, and MinION sequencing. Genome gaps and terminal sequences were resolved through targeted RT-PCR and modified 3' RACE approaches. Results.MADAM achieved high viral read recovery rates (46.9-72.7%) and identified 18 P. oryzae-associated RNA viruses across seven families: Botourmiaviridae, Deltaormycoviridae, Mymonaviridae, Partitiviridae, Polymycoviridae, Splipalmiviridae, and Ambiguiviridae. Nearly complete to complete genomes (ranging from 1,226 to 6,085 nucleotides) were recovered, with sequence coverage spanning 88-100%. Co-infections occurred in three out of four isolates. Notable discoveries included the first deltaormycovirus in P. oryzae, a putative novel Botourmiaviridae member, and an additional genomic segment of a polymycovirus. The method detected positive-sense, negative-sense ssRNA, and dsRNA viruses, demonstrating broad applicability.

Extreme environments impose severe physicochemical stresses that drive microorganisms to evolve specialized survival strategies. Microbial secondary metabolites determined by biosynthetic gene clusters (BGCs) are recognized as important mediators of microbial adaptation to environmental stress. However, their ecological roles, particularly habitat-dependent preferences across different environments, remain poorly understood. Although extreme environments provide opportunities to mine microbiomes for unique adaptations, such research is hampered by a lack of systematic overview of its genomic diversity, BGC diversity, and the relationships between them. Here, we constructed a standardized extremophilic genomic catalogue (SEGC) from 1,462 metagenomic samples spanning seven representative extreme habitats. The catalogue comprised 54,661 metagenome-assembled genomes representing 21,805 species, 66.1% of which were previously uncharacterized. With this catalogue, we identified 162,855 BGCs distributed across 81.5% of MAGs. Gene cluster family analysis showed the strong habitat dependence largely explained by species-level habitat specificity. Terpene biosynthetic pathways illustrated habitat-linked adaptive strategies, with hopan-22-ol biosynthesis enriched in acid mine, deep sea and hydrothermal plume environments, while retinal-based phototrophy predominated in cryosphere and saline-alkaline habitats. Metatranscriptomic analyses supported in situ activity of these pathways. In conclusion, we presented a global atlas of biosynthetic potential across extreme-environment microbiota and revealed habitat-dependent patterns of secondary metabolism linked to microbial survival.