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Tran, P. Q.

Publications and source records attributed to Tran, P. Q..

17 recordsLinked to original sources

RNA Polymerase Backtracking Promotes Type III-A CRISPR DNA Targeting

Type III CRISPR-Cas systems provide transcription-dependent immunity against mobile genetic elements, yet the mechanism underlying their DNA targeting remains unclear. Although the type III effector Cas10-Csm functions as a single-stranded DNase in vitro, type III systems eliminate double-stranded DNA targets in vivo, suggesting that transcription generates critical DNA substrates. Here, we show that conserved RNA polymerase anti-backtracking factors, such as GreA, selectively inhibit DNA-targeting of type III immunity. GreA overexpression abolishes protection against both phages and conjugative plasmids, whereas mutations that disrupt GreA anti-backtracking activity eliminate this effect. In contrast, immunity mediated by the type II CRISPR-Cas system or the auxiliary type III RNase Csm6 remain unaffected, demonstrating that GreA specifically suppresses Cas10-dependent DNA interference. These findings identify RNA polymerase backtracking as a key determinant of Cas10-Csm activity and support a model in which arrested transcription complexes generate substrates for DNA degradation, opening up new anti-CRISPR strategies against type III.

microbiology↗

Patterns of Microbial Succession and Niche Differentiation Across Depth and Age in a Landfill Have Implications for Management Strategies

Despite microorganisms being primarily responsible for landfill material decomposition, limited characterization has been performed across both landfill depth and age. Here, we investigated the microbial communities and physicochemical parameters in two active and two closed landfill wells from surface to bottom, as well as fill dirt and leachate at a sanitary landfill near Madison, Wisconsin, USA. Amplicon community sequencing fungi, bacteria and archaea revealed distinct microbial community structures across landfill sites. The observed patterns of microbial community succession by depth and age mirror the known phases of the landfill life cycle. Younger surface samples were dominated by aerobic fungi, which transitioned to fermentative bacteria and methanogenic archaea in older, deeper, layers. Simultaneously, high species richness was preserved across landfill ages, while reduced evenness at specific depths support spatial niche differentiation. In conjunction with the lack of trends found for physicochemical parameters by depth, this supports niche differentiation driven by the highly heterogenous waste inputs. This study provides the first comprehensive vertical profile of bacterial, fungal, and archaeal communities across landfill depths and ages, highlighting the influence of these parameters on physicochemical factors and microbial distribution within landfills. These results have implications for improving landfill management, including renewable gas energy production, minimizing emissions, and increasing degradation rates.

microbiology↗

Unraveling Keystone Taxa: Interactions Within Microbial Networks and Environmental Dynamics in Lake Mendota

Microbial communities in freshwater ecosystems drive critical biogeochemical cycles, nutrient transformations, and energy flows essential for ecosystem stability. Yet, in the face of accelerating environmental changes, the responses of these microbial networks to spatial and temporal shifts remain underexplored, particularly with rising anoxia. We investigated the microbial ecosystems of Lake Mendota, Wisconsin, USA, through comprehensive metagenomic and metatranscriptomic analyses to elucidate their adaptations to environmental fluctuations across temporal and spatial dimensions. Employing tools like Sparse Inverse Covariance Estimation for Ecological Association Inference (SPIEC-EASI) and Conditional Auto-Regressive Least Absolute Shrinkage and Selection Operator (CARlasso), we identified key microbial taxa and their interactions with environmental parameters such as depth, temperature, pH, and dissolved oxygen. Our findings reveal that biological interactions more than environmental variables shape microbial community assembly and function. Specifically, keystone taxa from the phylum Bacteroidota emerged as pivotal in nutrient cycling and organic matter decomposition, processes crucial for sustaining water quality. Notably, these keystone taxa demonstrate dynamic adaptability, suggesting that microbial networks can rapidly adjust to changes in composition, a trait essential for resilience in the face of warming temperatures and altered precipitation patterns. This study provides critical insights into the resilience and adaptability of freshwater microbiomes, highlighting the role of microbial interactions in maintaining ecosystem health. By understanding how these microbial networks respond to environmental pressures, we can better predict shifts in microbial dynamics and anticipate the broader ecological impacts of climate change on freshwater systems. ImportanceThis research underscores the critical role of keystone taxa in freshwater ecosystems, highlighting how these organisms maintain water quality and contribute to the stability of aquatic environments. Understanding the ecological roles of these taxa is essential for developing strategies to manage ecosystems and conserve freshwater resources, particularly in the face of ongoing environmental challenges like climate change. The insights provided by this study not only enhance our comprehension of microbial interactions but also support effective ecosystem management and conservation efforts.

microbiology↗

Bacteriophage infection drives loss of β-lactam resistance in methicillin-resistant Staphylococcus aureus

Bacteriophage (phage) therapy is a promising means to combat drug-resistant bacterial pathogens. Infection by phage can select for mutations in bacterial populations that confer resistance against phage infection. However, resistance against phage can yield evolutionary trade-offs of biomedical relevance. Here we report the discovery that infection by certain staphylococcal phages sensitizes different strains of methicillin-resistant Staphylococcus aureus (MRSA) to {beta}-lactams, a class of antibiotics against which MRSA is typically resistant. MRSA cells that survive infection by these phages display significant reductions in minimal inhibitory concentration against different {beta}-lactams compared to uninfected bacteria. Transcriptomic profiling reveals that these evolved MRSA strains possess highly modulated transcriptional profiles, where numerous genes involved in S. aureus virulence were downregulated. Phage-treated MRSA exhibited attenuated virulence phenotypes in the form of reduced hemolysis and clumping. Despite sharing similar phenotypes, whole-sequencing analysis revealed that the different MRSA strains evolved unique genetic profiles during infection. These results suggest complex evolutionary trajectories in MRSA during phage predation and open up new possibilities to reduce drug resistance and virulence in MRSA infections.

microbiology↗

Cryptic cycling by electroactive bacterioplankton in Trout Bog Lake

The genetic potential for extracellular electron transfer (EET)-based metabolism has been shown to be a prevailing feature of humic lakes where bacterioplankton may be able to use EET to cycle dissolved organic matter (DOM) extracellularly between oxidized and reduced states, but measurable abiotic features resulting from this phenomenon have yet to be demonstrated. We observed an anoxygenic photosynthetic Chlorobium sp. bloom each summer in Trout Bog Lake in northern WI, USA. Given this blooms characteristics, we hypothesized that EET-based metabolisms of Chlorobium sp. and accompanying bacteria cycle DOM between oxidized and reduced states with seasonal or diel-timescale oscillations; therefore, we anticipated this could be measured by weekly and subdaily sampling. We collected vertical profiles on these timescales using a multiparameter sonde, including oxidation-reduction potential measurement, and we assayed for inorganic electron donors. We also developed and deployed a buoy to measure electric current flow between many pairs of electrodes simultaneously. Using metagenomics analyses, we examined the EET genes and other oxidoreductases of bacteria from water column samples at select depths and from biofilms that developed on electrodes at similar depths. Our results indicate the occurrence of diel electron cycling between phototrophic oxidation (electrotrophic metabolism) and anaerobic respiration (electrogenic metabolism), likely involving DOM. We also observed a gradual seasonal increase in hypolimnion oxidation-reduction potential. These diel and seasonal patterns have implications for carbon emissions and the ecology of electroactive bacteria in lakes. IMPORTANCEWe investigated the physical, chemical, and redox characteristics of a bog lake and electrodes hung therein to test the hypothesis that dissolved organic matter is being cycled between oxidized and reduced states by electroactive bacterioplankton powered by phototrophy. To do so we performed field-based analyses on multiple timescales using both established and novel instrumentation. We paired these analyses with recently developed bioinformatics pipelines for metagenomics data to investigate genes that enable electroactive metabolism and accompanying metabolisms. Our results are consistent with our hypothesis and yet upend some of our other expectations. Our findings have implications for understanding greenhouse gas emissions from lakes, including electroactivity as an integral part of lake metabolism throughout more of the anoxic parts of lakes and for a longer portion of the summer than expected. Our results also give a sense of what electroactivity occurs at given depths and provide a strong basis for future studies.

microbiology↗

A 20-year time-series of a freshwater lake reveals seasonal dynamics and environmental drivers of viral diversity, ecology, and evolution

Long-term ecological studies are powerful tools to investigate microbiomes and ecosystem change but have mostly ignored viruses. Here, we leveraged a 20-year time-series of a freshwater lake to characterize 1.3 million viral genomes over time, seasonality, and environmental factors. We identified 578 auxiliary metabolic gene (AMG) clusters representing over 150,000 AMGs, the most abundant of which, including psbA for photosynthesis, pmoC for methane oxidation, and katG for hydrogen peroxide decomposition, were consistently represented in viruses across decades and seasons. We observed positive associations and niche differentiation between virus-host pairs during seasonal change including in keystone taxa, Cyanobacteria, methanotrophs, and Nanopelagicales. Environmental constraints, specifically inorganic carbon and ammonium influenced viral abundances over time, and highlighted roles of viruses in both "top-down" and "bottom-up" interactions. Key evolutionary processes shaping gene and genome-wide selection included favored fitness genes, reduced genomic heterogeneity, and dominant sub-populations carrying specific genes. Overall, our study advances understanding of diversity, ecological dynamics, and evolutionary trajectories of viruses in Earths microbiomes and ecosystems.

microbiology↗

Viromes vs. mixed community metagenomes: choice of method dictates interpretation of viral community ecology

BackgroundViruses, the majority of which are uncultivated, are among the most abundant biological entities on Earth. From altering microbial physiology to driving community dynamics, viruses are fundamental members of microbiomes. While the number of studies leveraging viral metagenomics (viromics) for studying uncultivated viruses is growing, standards for viromics research are lacking. Viromics can utilize computational discovery of viruses from total metagenomes of all community members (hereafter metagenomes) or use physical separation of virus-specific fractions (hereafter viromes). However, differences in the recovery and interpretation of viruses from metagenomes and viromes obtained from the same samples remain understudied. ResultsHere, we compare viral communities from paired viromes and metagenomes obtained from 60 diverse samples across human gut, soil, freshwater, and marine ecosystems. Overall, viral communities obtained from viromes were more abundant and species rich than those obtained from metagenomes, although there were some exceptions. Despite this, metagenomes still contained many viral genomes not detected in viromes. We also found notable differences in the predicted lytic state of viruses detected in viromes vs metagenomes at the time of sequencing. Other forms of variation observed include genome presence/absence, genome quality, and encoded protein content between viromes and metagenomes, but the magnitude of these differences varied by environment. ConclusionsOverall, our results show that the choice of method can lead to differing interpretations of viral community ecology. We suggest that the choice of whether to target a metagenome or virome to study viral communities should be dependent on the environmental context and ecological questions being asked. However, our overall recommendation to researchers investigating viral ecology and evolution is to pair both approaches to maximize their respective benefits.

ecology↗

zol & fai: large-scale targeted detection and evolutionary investigation of gene clusters

Many universally and conditionally important genes are genomically aggregated within clusters. Here, we introduce fai and zol, which together enable large-scale comparative analysis of different types of gene clusters and mobile-genetic elements (MGEs), such as biosynthetic gene clusters (BGCs) or viruses. Fundamentally, they overcome a current bottleneck to reliably perform comprehensive orthology inference at large scale across broad taxonomic contexts and thousands of genomes. First, fai allows the identification of orthologous instances of a query gene cluster of interest amongst a database of target genomes. Subsequently, zol enables reliable, context-specific inference of ortholog groups for individual protein-encoding genes across gene cluster instances. In addition, zol performs functional annotation and computes a variety of evolutionary statistics for each inferred ortholog group. Importantly, in comparison to tools for visual exploration of homologous relationships between gene clusters, zol can scale to thousands of gene cluster instances and produce detailed reports that are easy to digest. To showcase fai and zol, we apply them for: (i) longitudinal tracking of a virus in metagenomes, (ii) discovering novel population-level genetic insights of two common BGCs in the fungal species Aspergillus flavus, and (iii) uncovering large-scale evolutionary trends of a virulence-associated gene cluster across thousands of genomes from a diverse bacterial genus.

bioinformatics↗

Viral impacts on microbial activity and biogeochemical cycling in a seasonally anoxic freshwater lake

Microbial biogeochemical cycling relies on alternative electron acceptors when oxygen is unavailable, yet the role of viruses (bacteriophages) in these processes is understudied. We investigated how seasonal anoxia impacts viral and microbial biogeochemical cycling, by using paired total metagenomes, viromes, and metatranscriptomes, that were collected weekly. Stratification and anoxia drove microbial community composition, but dataset origin impacted the interpretation of viral community structure, activity, and function. Importantly, taxa abundance did not correlate with activity for both microbes and viruses. We identified virus-host linkages for 116 phages across 55 distinct hosts, many of which expressed genes for aerobic methane oxidation, nitrogen fixation, denitrification, and sulfate reduction. Overall, this work demonstrates the breadth and dynamics of virus-host interactions in mediating biogeochemistry. Additionally, we propose that viral community detection, functional potential, and activity are sensitive to pre-sequencing decisions, which must be kept in mind when interpreting genomic data in a biologically meaningful way.

microbiology↗

Diversity, distribution, and expression of opsin genes in freshwater lakes

Microbial rhodopsins are widely distributed in aquatic environments and may significantly contribute to phototrophy and energy budgets in global oceans. However, the study of freshwater rhodopsins has been largely limited. Here, we explored the diversity, ecological distribution, and expression of opsin genes that encode the apoproteins of Type I rhodopsins in humic and clearwater lakes with contrasting physicochemical and optical characteristics. Using metagenomes and metagenome-assembled genomes, we recovered opsin genes from a wide range of taxa, mostly predicted to encode green light-absorbing proton pumps. Viral opsin and novel bacterial opsin clades were recovered. Opsin genes occurred more frequently in taxa from clearwater than from humic water, and opsins in some taxa have non-typical ion-pumping motifs that might be associated with physicochemical conditions of these two freshwater types. Analyses of the surface layer of 33 freshwater systems revealed an inverse correlation between opsin gene abundance and lake dissolved organic carbon (DOC). In humic water with high terrestrial DOC and light-absorbing humic substances, opsin gene abundance was low and dramatically declined within the first few meters, whereas the abundance remained relatively high along the bulk water column in clearwater lakes with low DOC, suggesting opsin gene distribution is influenced by lake optical properties and DOC. Gene expression analysis confirmed the significance of rhodopsin-based phototrophy in clearwater lakes and revealed different diel expressional patterns among major phyla. Overall, our analyses revealed freshwater opsin diversity, distribution and expression patterns, and suggested the significance of rhodopsin-based phototrophy in freshwater energy budgets, especially in clearwater lakes.

microbiology↗

The sulfur cycle connects microbiomes and biogeochemistry in deep-sea hydrothermal plumes

In globally distributed deep-sea hydrothermal vent plumes, microbiomes are shaped by the redox energy landscapes created by reduced hydrothermal vent fluids mixing with oxidized seawater. Plumes can disperse over thousands of kilometers and are complex. Their characteristics are determined by geochemical sources from hydrothermal vents, e.g., hydrothermal inputs, nutrients, and trace metals. However, the impacts of plume biogeochemistry on the oceans are poorly constrained due to a lack of integrated understanding of microbiomes, population genetics, and geochemistry. Here, we use microbial genomes to understand links between biogeography, evolution, and metabolic connectivity, and elucidate their impacts on biogeochemical cycling in the deep sea. Using data from 37 diverse plumes from 8 ocean basins, we show that sulfur metabolism defines the core microbiome of plumes and drives metabolic connectivity. Amongst all microbial metabolisms, sulfur transformations had the highest MW-score, a measure of metabolic connectivity in microbial communities. Our findings provide the ecological and evolutionary basis of change in sulfur-driven microbial communities and their population genetics in adaptation to changing geochemical gradients in the oceans.

microbiology↗

Environmental predictors of electroactive bacterioplankton in small boreal lakes.

Extracellular electron transfer (EET) by electroactive bacteria in anoxic soils and sediments is an intensively researched subject, but EETs function in planktonic ecology has been less considered. Following the discovery of an unexpectedly high prevalence of EET genes in a bog lakes bacterioplankton, we hypothesized that the redox capacities of dissolved organic matter (DOM) enrich for electroactive bacteria by mediating redox chemistry. We developed the bioinformatics pipeline FEET (Find EET) to identify and summarize EET proteins from metagenomics data. We then applied FEET to several bog and thermokarst lakes and correlated EET protein occurrence values with environmental data to test our predictions. Our results provide evidence that DOM participates in EET by bacterioplankton. We found a similarly high prevalence of EET genes in most of these lakes, where oxidative EET strongly correlated with DOM. Numerous novel clusters of multiheme cytochromes that may enable EET were identified. Taxa previously not considered EET-capable were found to carry EET genes. We conclude that EET and DOM interactions are of major ecological importance to bacterioplankton in small boreal lakes, and that EET, particularly by methylotrophs and phototrophs, should be further studied and incorporated into both conceptual and quantitative methane emission models of melting permafrost.

microbiology↗

Microbial cysteine degradation is a source of hydrogen sulfide in oxic freshwater lakes

The sulfur-containing amino acid cysteine is abundant in the environment including in freshwater lakes. Biological cysteine degradation can result in hydrogen sulfide (H2S), a toxic and ecologically relevant compound that is a central player in biogeochemical cycling in aquatic environments. Here, we investigated the ecological significance of cysteine in oxic freshwater lake environments, using isolated cultures, controlled growth experiments, and multi-omics. We screened bacterial isolates enriched from natural lake water for their ability to produce H2S when provided cysteine. In total, we identified 29 isolates that produced H2S and belonged to the phyla Bacteroidetes, Proteobacteria, and Actinobacteria. To understand the genomic and genetic basis for cysteine degradation and H2S production, we further characterized 3 freshwater isolates using whole-genome sequencing (using a combination of short-read and long-read sequencing), and quantitatively tracked cysteine and H2S levels over their growth ranges: Stenotrophomonas maltophilia (Gammaproteobacteria), Stenotrophomonas bentonitica (Gammaproteobacteria) and Chryseobacterium piscium (Bacteroidetes). We observed a decrease in cysteine and increase in H2S, and identified genes involved in cysteine degradation in all 3 genomes. Finally, to assess the presence of these organisms and genes in the environment, we surveyed a five-year time series of metagenomic data from the same isolation source (freshwater Lake Mendota, WI, USA) and identified their presence throughout the time series. Overall, our study shows that sulfur-containing amino acids can drive microbial H2S production in oxic environments. Future considerations of sulfur cycling and biogeochemistry in oxic environments should account for H2S accumulation from degradation of organosulfur compounds. ImportanceHydrogen sulfide (H2S), a naturally occurring gas with biological origins, can be toxic to living organisms. In aquatic environments, H2S production typically originates from anoxic (lacking oxygen) environments such as sediments, or the bottom layers of thermally stratified lakes. However, the degradation of sulfur-containing amino acids such as cysteine, which all cells and life forms rely on, can be a source of ammonia and H2S in the environment. Unlike other approaches for biological H2S production such as dissimilatory sulfate reduction, cysteine degradation can occur in the presence of oxygen. Yet, little is known about how cysteine degradation influences sulfur availability and cycling in freshwater lakes. In our study, we identified diverse bacteria from a freshwater lake that can produce H2S in the presence of O2. Our study highlights the ecological importance of oxic H2S production in natural ecosystems and necessitates a change in our outlook of sulfur biogeochemistry.

microbiology↗

Mercury methylation trait dispersed across diverse anaerobic microbial guilds in a eutrophic sulfate-enriched lake

Mercury (Hg) methylation is a microbially mediated process that converts inorganic Hg into the bioaccumulative neurotoxin methylmercury (MeHg). Exploring the diversity and metabolic potential of the dominant Hg-methylating microorganisms can provide insights into how biogeochemical cycles and water quality parameters underlie MeHg production. However, our understanding of the ecophysiology of methylators in natural ecosystems is still limited. Here, we used shotgun metagenomics paired with biogeochemical data to identify likely hotspots for MeHg production in a lake with elevated sulfate levels and characterize the microbial methylators and the flanking microbial community. Identified putative methylators were dominated by hgcA sequences divergent from those in canonical, experimentally confirmed methylators. Using genome-resolved metagenomics, these sequences were identified within genomes associated with Bacteroidetes and the recently described phylum Kiritimatiellaeota. Over half of the hgcA abundance comes from genomes corresponding to obligately fermentative organisms, many of which have a large number of glucoside hydrolases for polysaccharide degradation. Sulfate-reducing genomes encoding hgcA were also identified, but only accounted for 22% of the abundance of hgcA+ genomes. This work highlights the diverse dispersal of the methylation trait across the microbial anoxic food web.

genomics↗

Expanded Phylogenetic Diversity and Metabolic Flexibility of Microbial Mercury Methylation

Methylmercury is a potent, bioaccumulating neurotoxin that is produced by specific microorganisms by methylation of inorganic mercury released from anthropogenic sources. The hgcAB genes were recently discovered to be required for microbial methylmercury production in diverse anaerobic bacteria and archaea. However, the full phylogenetic and metabolic diversity of mercury methylating microorganisms has not been fully explored due to the limited number of cultured, experimentally verified methylators and the limitations of primer-based molecular methods. Here, we describe the phylogenetic diversity and metabolic flexibility of putative mercury methylating microorganisms identified by hgcA sequence identity from publicly available isolate genomes and metagenome-assembled genomes (MAGs), as well as novel freshwater MAGs. We demonstrate that putative mercury methylators are much more phylogenetically diverse than previously known, and the distribution of hgcA is most likely due to several independent horizontal gene transfer events. Identified methylating microorganisms possess diverse metabolic capabilities spanning carbon fixation, sulfate reduction, nitrogen fixation, and metal resistance pathways. Using a metatranscriptomic survey of a thawing permafrost gradient from which we identified 111 putative mercury methylators, we demonstrate that specific methylating populations may contribute to hgcA expression at different depths. Overall, we provide a framework for illuminating the microbial basis of mercury methylation using genome-resolved metagenomics and metatranscriptomics to identify methylators based upon hgcA presence and describe their putative functions in the environment. IMPORTANCESpecific anaerobic microorganisms among the Deltaproteobacteria, Firmicutes, and Euryarchaeota have been shown to produce the bioaccumulating neurotoxin methylmercury. Accurately assessing the sources of microbial methylmercury production in the context of phylogenetic identification, metabolic guilds, and activity in the environment is crucial for understanding the constraints and effects of mercury impacted sites. Advances in next-generation sequencing technologies have enabled large-scale, cultivation-independent surveys of diverse and poorly characterized microorganisms of numerous ecosystems. We used genome-resolved metagenomics and metatranscriptomics to highlight the vast phylogenetic and metabolic diversity of putative mercury methylators, and their depth-discrete activities in the environment. This work underscores the importance of using genome-resolved metagenomics to survey specific putative methylating populations of a given mercury-impacted ecosystem.

microbiology↗

Depth-discrete eco-genomics of Lake Tanganyika reveals roles of diverse microbes, including candidate phyla, in tropical freshwater nutrient cycling

Lake Tanganyika (LT) is the largest tropical freshwater lake, and the largest body of anoxic freshwater on Earths surface. LTs mixed oxygenated surface waters float atop a permanently anoxic layer and host rich animal biodiversity. However, little is known about microorganisms inhabiting LTs 1470 m deep water column and their contributions to nutrient cycling, which affect ecosystem-level function and productivity. Here, we applied genome-resolved metagenomics and environmental analyses to link specific taxa to key biogeochemical processes across a vertical depth gradient in LT. We reconstructed 523 unique metagenome-assembled genomes (MAGs) from 21 bacterial and archaeal phyla, including many rarely observed in freshwater lakes. We identified sharp contrasts in community composition and metabolic potential with an abundance of typical freshwater taxa in oxygenated mixed upper layers, and Archaea and uncultured Candidate Phyla in deep anoxic waters. Genomic capacity for nitrogen and sulfur cycling was abundant in MAGs recovered from anoxic waters, highlighting microbial contributions to the productive surface layers via recycling of upwelled nutrients, and greenhouse gases such as nitrous oxide. Overall, our study provides a blueprint for incorporation of aquatic microbial genomics in the representation of tropical freshwater lakes, especially in the context of ongoing climate change which is predicted to bring increased stratification and anoxia to freshwater lakes.

microbiology↗

Genome diversification in globally distributed novel marine Proteobacteria is linked to environmental adaptation

Proteobacteria constitute the most diverse and abundant group of microbes on Earth. In productive marine environments like deep-sea hydrothermal systems, Proteobacteria have been implicated in autotrophy coupled to sulfur, methane, and hydrogen oxidation, sulfate reduction, and denitrification. Beyond chemoautotrophy, little is known about the ecological significance of novel Proteobacteria that are globally distributed and active in hydrothermal systems. Here we apply multi-omics to characterize 51 metagenome-assembled genomes from three hydrothermal vent plumes in the Pacific and Atlantic Oceans that are affiliated with nine novel Proteobacteria lineages. Metabolic analyses revealed these organisms to contain a diverse functional repertoire including chemolithotrophic ability to utilize sulfur and C1 compounds, and chemoorganotrophic ability to utilize environment-derived fatty acids, aromatics, carbohydrates, and peptides. Comparative genomics with marine and terrestrial microbiomes suggests that lineage-associated functional traits could explain niche specificity. Our results shed light on the ecological functions and metabolic strategies of novel Proteobacteria in hydrothermal systems and beyond, and highlight the relationship between genome diversification and environmental adaptation.

microbiology↗