Insights into the phylogeny and coding potential of microbial dark matter

Unusual MurC Ligase and Peptidoglycan Discovered in Lachnospiraceae Using a Fluorescent L-Amino Acid Based Selective Labeling Probe

Developing selective labeling probes for specific bacterial taxa can not only facilitate the study of target bacteria but also deepen our understanding of the microbial diversity at structural and molecular levels. The availability of such probes, however, remains very limited. In this study, by exploiting the variation of amino acids in peptidoglycan stem peptide, we designed a fluorescent L-amino acid probe and found that it can selectively target the family Lachnospiraceae (a major Gram-positive family in murine gut microbiome) in vivo. The following in vitro test using two Roseburia species belonging to this family validated labeling by the probe. We then discovered that the labeling site is the first amino acid (L-alanine in most bacteria), which links the stem peptide with N-acetylmuramic acid, a process catalyzed by a highly conserved enzyme MurC. An enzyme assay of Roseburia MurC demonstrated its ability to conjugate a fluorescent L-amino acid and other non-L-Ala amino acids to UDP-N-acetylmuramic acid. Subsequent X-ray crystallography analysis uncovered a substantially enlarged inner space in this enzyme, which can partially explain its tolerance to these atypical substrates. The resulting unusual peptidoglycan structures lead to significantly reduced activation of the NOD immune receptors, suggesting a new mechanism for the host to accommodate these highly abundant commensals.

Impact of environmental and process conditions on the microbial ecology and performance of full-scale slow sand filters in drinking water treatment

Slow sand filters (SSFs) are commonly used for treating drinking water, effectively removing contaminants such as particles, organic matter, and microorganisms. However, the ecological dynamics of prokaryotic communities within SSFs remain poorly understood. This study investigated the top sand layer, the Schmutzdecke (SCM), along with the influent and effluent water of full-scale SSFs at four drinking water treatment plants (DWTPs) in the Netherlands. These plants use SSFs as the final step in their treatment to produce unchlorinated drinking water. Two DWTPs treat surface water after dune infiltration and do not apply advanced oxidation processes prior the SSF. In contrast, the other two DWTPs treat reservoir-stored surface water and incorporate ozonation or UV and activated carbon filtration as part of their treatment train. All SSFs consistently reduced biomass in the effluent compared to the influent, confirming their role in biomass load reduction. Key biological and chemical parameters showed that pretreatment with dune infiltration produced more biologically stable drinking water compared to reservoir storage. Moreover, while SSFs act as polishing filters when treating dune-infiltrated surface water, they significantly alter the prokaryotic community and biological stability of the water when treating reservoir-stored surface water. Prokaryotic communities in the SCM and water samples showed distinct compositions rather than merely the accumulation of microorganisms in the SCM from the influent water, demonstrating that SSF are active ecosystems different from water. The SCM exhibited a higher relative abundance of the genera SWB02, Gemmata, Pedomicrobium, Nitrospira, and mle1-7, while in the water samples the genus Candidatus Omnitrophus was relatively more abundant. Moreover, each DWTP hosts a unique prokaryotic profiles in both the SCM and water samples. Source water, upstream treatment and/or the biological stability of the influent water are identified as potential causes affecting the prokaryotic communities in SSFs that affect the microbial water quality of the effluent water.

mKmer: an unbiased K-mer embedding of microbiomic single-microbe RNA sequencing data

The advanced single-microbe RNA sequencing (smRNA-seq) technique addresses the pressing need to understand the complexity and diversity of microbial communities, as well as the distinct microbial states defined by different gene expression profiles. Current analyses of smRNA-seq data heavily rely on the integrity of reference genomes within the queried microbiota. However, establishing a comprehensive collection of microbial reference genomes or gene sets remains a significant challenge for most real-world microbial ecosystems. Here, we developed an unbiased embedding algorithm utilizing K-mer signatures, named mKmer, which bypasses gene or genome alignment to enable species identification for individual microbes and downstream functional enrichment analysis. By substituting gene features in the canonical cell-by-gene matrix with highly conserved K-mers, we demonstrate that mKmer outperforms gene-based methods in clustering and motif inference tasks using benchmark datasets from crop soil and human gut microbiomes. Our method provides a reference genome-free analytical framework for advancing smRNA-seq studies.

Revealing the diversity of bacterial and archaeal organelles via comparative genomics

Like eukaryotes, bacteria and archaea rely on intracellular organelles to manage biological activities. Despite their prevalence, the understanding of the diversity of these organelles and the molecular mechanisms governing their function remain limited. In this review, we examine the potential of genomics and metagenomics to augment classical approaches for the study and discovery of microbial organelles. First, we highlight how the intimate interplay between model system studies and metagenomics have been critical in illuminating the function, diversity, and ancient evolutionary origins of the lipid-bounded magnetosome organelles of magnetotactic bacteria. We next discuss the central role of open genome databases and mechanistic studies in identification and characterization of protein-bounded encapsulin organelles with novel roles in sulfur metabolism and other cellular processes. Finally, we focus on the mostly uncultured Asgard archaea superphylum, whose metagenomes are challenging our views on organelle evolution and eukaryogenesis.

TIGR-Tas: A family of modular RNA-guided DNA-targeting systems in prokaryotes and their viruses

RNA-guided systems provide remarkable versatility, enabling diverse biological functions. Through iterative structural and sequence homology-based mining starting with a guide RNA-interaction domain of Cas9, we identified a family of RNA-guided DNA-targeting proteins in phage and parasitic bacteria. Each system consists of a tandem interspaced guide RNA (TIGR) array and a TIGR-associated (Tas) protein containing a nucleolar protein (Nop) domain, sometimes fused to HNH (TasH)- or RuvC (TasR)-nuclease domains. We show that TIGR arrays are processed into 36-nucleotide RNAs (tigRNAs) that direct sequence-specific DNA binding through a tandem-spacer targeting mechanism. TasR can be reprogrammed for precise DNA cleavage, including in human cells. The structure of TasR reveals striking similarities to box C/D small nucleolar ribonucleoproteins and IS110 RNA-guided transposases, providing insights into the evolution of diverse RNA-guided systems.

Comparative analysis of three experimental methods for revealing human fecal microbial diversity

Due to the heterogeneity of the human gut environment, the gut microbiota is complex and diverse, and has been insufficiently explored. In this study, one fresh fecal sample was cultured using 12 commercial or modified media and incubation of culture plates anaerobically and aerobically, the conventional experienced colony picking (ECP) was first used to isolate the colonies and obtain pure culture strains. On this basis, all the colonies grown on the culture plates were collected for culture-enriched metagenomic sequencing (CEMS), and the original sample was also subjected to direct culture-independent metagenomic sequencing (CIMS), the study compared the effects of three methods for analyzing the microbiota contained in the sample. It was found that compared with CEMS, conventional ECP failed to detect a large proportion of strains grown in culture media, resulting in missed detection of culturable microorganisms in the gut. Microbes identified by CEMS and CIMS showed a low degree of overlap (18% of species), whereas species identified by CEMS and CIMS alone accounted for 36.5% and 45.5%, respectively. It suggests that both culture-dependent and culture-independent approaches are essential in revealing gut microbial diversity. Moreover, based on the CEMS results, growth rate index (GRiD) values for various strains on different media were calculated to predict the optimal medium for bacterial growth; this method can be used to design new media for intestinal microbial isolation, promote the recovery of specific microbiota, and obtain new insights into the human microbiome diversity. This is among the first studies on CEMS of the human gut microbiota.

Biogeography and ecological functions of underestimated CPR and DPANN in acid mine drainage sediments

Recent genomic surveys have uncovered candidate phyla radiation (CPR) bacteria and DPANN archaea as major microbial dark matter lineages in various anoxic habitats. Despite their extraordinary diversity, the biogeographic patterns and ecological implications of these ultra-small and putatively symbiotic microorganisms have remained elusive. Here, we performed metagenomic sequencing on 90 geochemically diverse acid mine drainage sediments sampled across southeast China and recovered 282 CPR and 189 DPANN nonredundant metagenome-assembled genomes, which collectively account for up to 28.6% and 31.2% of the indigenous prokaryotic communities, respectively. We found that, remarkably, geographic distance represents the primary factor driving the large-scale ecological distribution of both CPR and DPANN organisms, followed by pH and Fe. Although both groups might be capable of iron reduction through a flavin-based extracellular electron transfer mechanism, significant differences are found in their metabolic capabilities (with complex carbon degradation and chitin degradation being more prevalent in CPR whereas fermentation and acetate production being enriched in DPANN), indicating potential niche differentiation. Predicted hosts are mainly Acidobacteriota, Bacteroidota, and Proteobacteria for CPR and Thermoplasmatota for DPANN, and extensive, unbalanced metabolic exchanges between these symbionts and putative hosts are displayed. Together, our results provide initial insights into the complex interplays between the two lineages and their physicochemical environments and host populations at a large geographic scale.IMPORTANCECandidate phyla radiation (CPR) bacteria and DPANN archaea constitute a significant fraction of Earth's prokaryotic diversity. Despite their ubiquity and abundance, especially in anoxic habitats, we know little about the community patterns and ecological drivers of these ultra-small, putatively episymbiotic microorganisms across geographic ranges. This study is facilitated by a large collection of CPR and DPANN metagenome-assembled genomes recovered from the metagenomes of 90 sediments sampled from geochemically diverse acid mine drainage (AMD) environments across southeast China. Our comprehensive analyses have allowed first insights into the biogeographic patterns and functional differentiation of these major enigmatic prokaryotic groups in the AMD model system.

Metagenome-Assembled Genomes (MAGs): Advances, Challenges, and Ecological Insights

Metagenome-assembled genomes (MAGs) have revolutionized microbial ecology by enabling the genome-resolved study of uncultured microorganisms directly from environmental samples. By leveraging high-throughput sequencing, advanced assembly algorithms, and genome binning techniques, researchers can reconstruct microbial genomes without the need for cultivation. These methodological advances have expanded the known microbial diversity, revealing novel taxa and metabolic pathways involved in key biogeochemical cycles, including carbon, nitrogen, and sulfur transformations. MAG-based studies have identified microbial lineages form Archaea and Bacteria responsible for methane oxidation, carbon sequestration in marine sediments, ammonia oxidation, and sulfur metabolism, highlighting their critical roles in ecosystem stability. From a sustainability perspective, MAGs provide essential insights for climate change mitigation, sustainable agriculture, and bioremediation. The ability to characterize microbial communities in diverse environments, including soil, aquatic ecosystems, and extreme habitats, enhances biodiversity conservation and supports the development of microbial-based environmental management strategies. Despite these advancements, challenges such as assembly biases, incomplete metabolic reconstructions, and taxonomic uncertainties persist. Continued improvements in sequencing technologies, hybrid assembly approaches, and multi-omics integration will further refine MAG-based analyses. As methodologies advance, MAGs will remain a cornerstone for understanding microbial contributions to global biogeochemical processes and developing sustainable interventions for environmental resilience.

Multi-Metagenome Analysis Unravels Community Collapse After Sampling and Hints the Cultivation Strategy of CPR Bacteria in Groundwater

Groundwater harbors phylogenetically diverse Candidate Phyla Radiation (CPR) bacteria, representing an ideal ecosystem for studying this microbial dark matter. However, no CPR strains have been successfully isolated from groundwater, severely limiting further research. This study employed a multi-metagenome approach, integrating time-resolved sampling, antibiotic/nutrient interventions, and microbial correlation networks to unravel CPR ecological roles in groundwater and provide insights into their subsequent cultivation. Through 36 metagenomes from a groundwater system containing at least 68 CPR phyla, we revealed the time-sensitive collapse of CPR communities: total abundance plummeted from 7.9% to 0.15% within 48 h post-sampling, driven by competition with rapidly dividing non-CPR bacteria, such as members of Pseudomonadota. Ampicillin (100 mg/L) stabilized CPR communities by suppressing competitors, whereas low-nutrient conditions paradoxically reversed this effect. Long-term enrichment (14 months) recovered 63 CPR phyla (0.35% abundance), revealing their survival resilience despite nutrient deprivation. Correlation networks prioritized Actinomyces, a novel Acidimicrobiaceae genus, Aestuariivirga, Baekduia and Caedimonadaceae as potential CPR partners, providing actionable targets for co-culture trials. Here, we propose actionable recommendations spanning groundwater sampling, activation status, identification of CPR symbiotic partners, and optimization of culture conditions, which bypass traditional blind cultivation and are critical for future efforts to cultivate CPR bacterial strains from groundwater. Cultivating CPR bacteria will contribute to clarifying their diversity, ecological roles, evolutionary mechanisms, metabolic pathways, and genetic potential.

A Comprehensive Evaluation of Taxonomic Classifiers in Marine Vertebrate eDNA Studies

Environmental DNA (eDNA) metabarcoding is a widely used tool for surveying marine vertebrate biodiversity. To this end, many computational tools have been released and a plethora of bioinformatic approaches are used for eDNA-based community composition analysis. Simulation studies and careful evaluation of taxonomic classifiers are essential to establish reliable benchmarks to improve the accuracy and reproducibility of eDNA-based findings. Here we present a comprehensive evaluation of nine taxonomic classifiers exploring three widely used mitochondrial markers (12S rDNA, 16S rDNA and COI) in Australian marine vertebrates. Curated reference databases and exclusion database tests were used to simulate diverse species compositions, including three positive control and two negative control datasets. Using these simulated datasets ranging from 36 to 302 marker genes, we were able to identify between 19% and 89% of marine vertebrate species using mitochondrial markers. We show that MMSeqs2 and Metabuli generally outperform BLAST with 10% and 11% higher F1 scores for 12S and 16S rDNA markers, respectively, and that Naive Bayes Classifiers such as Mothur outperform sequence-based classifiers except MMSeqs2 for COI markers by 11%. Database exclusion tests reveal that MMSeqs2 and BLAST are less susceptible to false positives compared to Kraken2 with default parameters. Based on these findings, we recommend that MMSeqs2 is used for taxonomic classification of marine vertebrates given its ability to improve species-level assignments while reducing the number of false positives. Our work contributes to the establishment of best practices in eDNA-based biodiversity analysis to ultimately increase the reliability of this monitoring tool in the context of marine vertebrate conservation.

Hydrogeological and geological partitioning of iron and sulfur cycling bacterial consortia in subsurface coal-based mine waters

Pyrite oxidation drives iron and sulfur availability across Earth's subsurface and is partly microbially mediated. Subsurface microbial communities accelerate this process at circumneutral pH directly by weathering pyritic surfaces and indirectly by causing changes to the surrounding microenvironment, thereby further accelerating pyrite weathering. However, our understanding of community structure dynamics and associated biogeochemistry in Fe- and S-rich lithologies, e.g. pyritic coal, is limited. Here, we present the first comprehensive regional and seasonal genus-level survey of bacterial groundwater communities in a pyritic coal-based aquifer in the South Wales Coalfield (SWC), using 16S rRNA gene amplicon sequencing. Seasonal changes in community structure were limited, suggesting limited influence of surface processes on subsurface communities. Instead, hydrogeologically distinct mine water blocks (MWB) and coal rank largely explained bacterial community structure variation across sites. Fe(II)-oxidizing Betaproteobacteriales genera Gallionella and Sideroxydans dominated the bacterial communities across nine sites and seven MWBs, while three sites within a single MWB, were dominated by S-oxidizing Epsilonbacteraeota genera Sulfuricurvum and Sulfurovum. The cooccurrence of pairs of Fe(II)- and S-oxidizing bacterial genera suggests functional redundancy, which coupled with genus-specific morphologies and life strategies, indicates the importance of distinct environmental and ecological niches within the SWC groundwater at seasonal and regional scales.

Chimeric origins and dynamic evolution of central carbon metabolism in eukaryotes

The origin of eukaryotes was a key event in the history of life. Current leading hypotheses propose that a symbiosis between an asgardarchaeal host cell and an alphaproteobacterial endosymbiont represented a crucial step in eukaryotic origin and that metabolic cross-feeding between the partners provided the basis for their subsequent evolutionary integration. A major unanswered question is whether the metabolism of modern eukaryotes bears any vestige of this ancestral syntrophy. Here we systematically analyse the evolutionary origins of the eukaryotic gene repertoires mediating central carbon metabolism. Our phylogenetic and sequence analyses reveal that this gene repertoire is chimeric, with ancestral contributions from Asgardarchaeota and Alphaproteobacteria operating predominantly in glycolysis and the tricarboxylic acid cycle, respectively. Our analyses also reveal the extent to which this ancestral metabolic interplay has been remodelled via gene loss, transfer and subcellular retargeting in the >2 billion years since the origin of eukaryotic cells, and we identify genetic contributions from other prokaryotic sources in addition to the asgardarchaeal host and alphaproteobacterial endosymbiont. Our work demonstrates that, in contrast to previous assumptions, modern eukaryotic metabolism preserves information about the nature of the original asgardarchaeal-alphaproteobacterial interactions and supports syntrophy scenarios for the origin of the eukaryotic cell.

Earth's most needed uncultivated aquatic prokaryotes

Aquatic ecosystems house a significant fraction of Earth's biosphere, yet most prokaryotes inhabiting these environments remain uncultivated. While recently developed genome-resolved metagenomics and single-cell genomics techniques have underscored the immense genetic breadth and metabolic potential residing in uncultivated Bacteria and Archaea, cultivation of these microorganisms is required to study their physiology via genetic systems, confirm predicted biochemical pathways, exploit biotechnological potential, and accurately appraise nutrient turnover. Over the past two decades, the limitations of culture-independent investigations highlighted the importance of cultivation in bridging this vast knowledge gap. Here, we collected more than 80 highly sought-after uncultivated lineages of aquatic Bacteria and Archaea with global ecological impact. In addition to fulfilling critical roles in global carbon, nitrogen, and sulfur cycling, many of these organisms are thought to partake in key symbiotic relationships. This review highlights the vital contributions of uncultured microbes in aquatic ecosystems, from lakes and groundwater to the surfaces and depths of the oceans and will guide current and future initiatives tasked with cultivating our planet's most elusive, yet highly consequential aquatic microflora.

Revealing microbial functionalities and ecological roles in Rajpardi lignite mine: insights from metagenomics analysis

The present study employs a metagenomics approach to evaluate microbial communities' ecological functions and potential within the Rajpardi lignite mine of Gujarat, India. Through whole genome shotgun sequencing on the Illumina Miseq platform, we obtained 10 071 318 sequences, which unveiled a diverse and abundant microbial community primarily composed of Proteobacteria, Acidobacteria, and Nitrospirae. Comprehensive taxonomic profiling and gene prediction was carried out using the SqueezeMeta pipline, which highlighted significant contributions to carbohydrate, amino acid, and energy metabolism. The detection of antimicrobial resistance and stress resistance genes, such as blaTEM and merA, suggests that these microbes possess the ability to adapt to harsh environmental conditions. Genome binning revealed species such as Acidiphilum sp. 20-67-58, emphasizing the nature of these communities as they adapted to an acidic environment. This finding highlights the crucial role of microbes in biogeochemical cycles, emphasizing their potential in bioremediation, pollutant degradation, and ecosystem restoration.

Cultivation of anaerobic bacteria: Foundations and principles

A brief history of techniques in anaerobic microbiology are presented leading up to the incorporation of several improvements we have used over the years to improve our culture of anaerobic microorganisms of environmental, industrial and clinical importance. Two overriding aspects from our combined 90 years of experience here are: the better one's control of anaerobic conditions and gas phases, the better results are obtained; techniques can and should be targeted for individual microorganisms and accompanying experiments. Continued improvements in anaerobic microbiology are expected and encouraged for the future.

ParAquaSeq, a Database of Ecologically Annotated rRNA Sequences Covering Zoosporic Parasites Infecting Aquatic Primary Producers in Natural and Industrial Systems

Amplicon sequencing tools such as metabarcoding are commonly used for thorough characterisation of microbial diversity in natural samples. They mostly rely on the amplification of conserved universal markers, mainly ribosomal genes, allowing the taxonomic assignment of barcodes. However, linking taxonomic classification with functional traits is not straightforward and requires knowledge of each taxonomic group to confidently assign taxa to a given functional trait. Zoosporic parasites are highly diverse and yet understudied, with many undescribed species and host associations. However, they can have important impacts on host populations in natural ecosystems (e.g., controlling harmful algal blooms), as well as on industrial-scale algae production, e.g. aquaculture, causing their collapse or economic losses. Here, we present ParAquaSeq, a curated database of available molecular ribosomal sequences belonging to zoosporic parasites infecting aquatic vascular plants, macroalgae and photosynthetic microorganisms, i.e. microalgae and cyanobacteria. These sequences are aligned with ancillary data and other information currently available, including details on their hosts, occurrence, culture availability and associated bibliography. The database includes 1131 curated sequences from marine, freshwater and industrial or artificial environments, and belonging to 13 different taxonomic groups, including Chytridiomycota, Oomycota, Phytomyxea, and Syndiniophyceae. The curated database will allow a comprehensive analysis of zoosporic parasites in molecular datasets to answer questions related to their occurrence and distribution in natural communities. Especially through meta-analysis, the database serves as a valuable tool for developing effective mitigation and sustainable management strategies in the algae biomass industry, but it will also help to identify knowledge gaps for future research.

Global Archaeal Diversity Revealed Through Massive Data Integration: Uncovering Just Tip of Iceberg

The domain of Archaea has gathered significant interest for its ecological and biotechnological potential and its role in helping us to understand the evolutionary history of Eukaryotes. In comparison to the bacterial domain, the number of adequately described members in Archaea is relatively low, with less than 1000 species described. It is not clear whether this is solely due to the cultivation difficulty of its members or, indeed, the domain is characterized by evolutionary constraints that keep the number of species relatively low. Based on molecular evidence that bypasses the difficulties of formal cultivation and characterization, several novel clades have been proposed, enabling insights into their metabolism and physiology. Given the extent of global sampling and sequencing efforts, it is now possible and meaningful to question the magnitude of global archaeal diversity based on molecular evidence. To do so, we extracted all sequences classified as Archaea from 500 thousand amplicon samples available in public repositories. After processing through our highly conservative pipeline, we named this comprehensive resource the 'Global Archaea Diversity' (GAD), which encompassed nearly 3 million molecular species clusters at 97% similarity, and organized it into over 500 thousand genera and nearly 100 thousand families. Saline environments have contributed the most to the novel taxa of this previously unseen diversity. The majority of those 16S rRNA gene sequence fragments were verified by matches in metagenomic datasets from IMG/M. These findings reveal a vast and previously overlooked diversity within the Archaea, offering insights into their ecological roles and evolutionary importance while establishing a foundation for the future study and characterization of this intriguing domain of life.

Seasonal variation of microbial community and diversity in the Taiwan Strait sediments

Human activities and ocean currents in the Taiwan Strait exhibit significant seasonal variation, yet the response of marine microbes to ocean changes under anthropogenic and climatic stress remains unclear. Using 16S rRNA gene amplicon sequencing, we investigated the spatiotemporal dynamics and functional variations of microbial communities in sediment samples. Our findings revealed distinct seasonal patterns in microbial diversity and composition. Proteobacteria, Desulfobacterota, and Crenarchaeota dominated at the phylum level, while Candidatus Nitrosopumilus, Woeseia, and Subgroup 10 were prevalent at the genus level. Iron concentrations, heavy metals and C/N ratio were primary factors influencing microbial communities during specific seasons, whereas sulfur content, temperature fluctuations, and heavy metals shaped the entire microbial structure and diversity. Core microbial groups, including Desulfobulbus, Subgroup 10, Unidentified Latescibacterota, and Sumerlaea, played essential roles in regulating community structure and functional transitions. Marker species, such as Aliidiomarina sanyensis, Spirulina platensis, Croceimarina litoralis and Sulfuriflexus mobilis, acted as seasonal indicators. Bacteria exhibited survival strategy akin to higher organisms, encompassing process of synthesis, growth, dormancy, and disease resistance throughout the seasonal cycle. Core microbial groups and marker species in specific seasons can serve as indicators for monitoring and assessing the health of the Taiwan Strait ecosystem.

Droplet microfluidics: unveiling the hidden complexity of the human microbiome

The human body harbors diverse microbial communities essential for maintaining health and influencing disease processes. Droplet microfluidics, a precise and high-throughput platform for manipulating microscale droplets, has become vital in advancing microbiome research. This review introduces the foundational principles of droplet microfluidics, its operational capabilities, and wide-ranging applications. We emphasize its role in enhancing single-cell sequencing technologies, particularly genome and RNA sequencing, transforming our understanding of microbial diversity, gene expression, and community dynamics. We explore its critical function in isolating and cultivating traditionally unculturable microbes and investigating microbial activity and interactions, facilitating deeper insight into community behavior and metabolic functions. Lastly, we highlight its broader applications in microbial analysis and its potential to revolutionize human health research by driving innovations in diagnostics, therapeutic development, and personalized medicine. This review provides a comprehensive overview of droplet microfluidics' impact on microbiome research, underscoring its potential to transform our understanding of microbial dynamics and their relevance to health and disease.

DPANN symbiont of Haloferax volcanii accelerates xylan degradation by the non-host haloarchaeon Halorhabdus sp

This study examines a natural consortium of halophilic archaea, comprising xylan-degrading Halorhabdus sp. SVX81, consortium cohabitant Haloferax volcanii SVX82 (formerly H. lucentense SVX82), and its DPANN ectosymbiont Ca. Nanohalococcus occultus SVXNc. Transcriptomics and targeted metabolomics demonstrated that the tripartite consortium outperformed individual and the Halorhabdus sp. SVX81 with H. volcanii SVX82 bipartite cultures in xylan degradation, exhibiting a division of labor: the DPANN symbiont processed glycolysis products, while other members performed xylan depolymerization and biosynthesis of essential compounds. Electron microscopy and cryo-electron tomography revealed the formation of heterocellular biofilms interlinked by DPANN cells. The findings demonstrated that DPANN symbionts can interact directly with other members of microbial communities, which are not their primary hosts, influencing their gene expression. However, DPANN proliferation requires their primary host presence. The study highlights the collective contribution of consortium members to xylan degradation and their potential for biotechnological applications in the management of hypersaline environments.

A novel type of hemoglobin confers host-derived nitric oxide resistance to the opportunistic pathogen Acinetobacter baumannii

Acinetobacter baumannii is an opportunistic Gram-negative pathogen responsible for various infections, such as those of the bloodstream and lungs, which often resist antibiotic therapy. In the course of an infection, the human innate immune system's phagocytic cells are activated producing nitric oxide (NO) that cause bacterial injury. While the antimicrobial effects of nitrosative stress and the bacterial resistance mechanisms are well-characterized for several pathogens, the adaptations of Acinetobacter spp. to NO have not been studied. In this work, we define the transcriptional response of A. baumannii to nitrosative stress induced by NO donor exposure. A. baumannii triggers the expression of several transporters, including those involved in iron and siderophore synthesis. One of the most significantly NO-induced genes is a putative flavohemoglobin. The loss of function of this gene in the mutant strain led to decreased fitness of A. baumannii under NO stress. We also identified the A. baumannii nitric oxide sensor NsrR and demonstrated that NsrR regulates the hemoglobin gene. Combining biochemical, kinetic, and structural prediction studies we show that A. baumannii hemoglobin exhibits nitric oxide dioxygenase and reductase activities and has an atypical structural domain composition. Moreover, we reveal that Acinetobacter hemoglobins have evolved into an independent branch and are phylogenetically distant from other bacterial hemoglobins. Altogether, our findings demonstrate that A. baumannii hemoglobins represent a novel class of NO-detoxifying defense proteins that evolve from flavohemoglobin.

Whole metagenome sequencing and 16S rRNA gene amplicon analyses reveal the complex microbiome responsible for the success of enhanced in-situ reductive dechlorination (ERD) of a tetrachloroethene-contaminated Superfund site

The North Railroad Avenue Plume (NRAP) Superfund site in New Mexico, USA exemplifies successful chlorinated solvent bioremediation. NRAP was the result of leakage from a dry-cleaning that operated for 37 years. The presence of tetrachloroethene biodegradation byproducts, organohalide respiring genera (OHRG), and reductive dehalogenase (rdh) genes detected in groundwater samples indicated that enhanced reductive dechlorination (ERD) was the remedy of choice. This was achieved through biostimulation by mixing emulsified vegetable oil into the contaminated aquifer. This report combines metagenomic techniques with site monitoring metadata to reveal new details of ERD. DNA extracts from groundwater samples collected prior to and at four, 23 and 39 months after remedy implementation were subjected to whole metagenome sequencing (WMS) and 16S rRNA gene amplicon (16S) analyses. The response of the indigenous NRAP microbiome to ERD protocols is consistent with results obtained from microcosms, dechlorinating consortia, and observations at other contaminated sites. WMS detects three times as many phyla and six times as many genera as 16S. Both techniques reveal abundance changes in Dehalococcoides and Dehalobacter that reflect organohalide form and availability. Methane was not detected before biostimulation but appeared afterwards, corresponding to an increase in methanogenic Archaea. Assembly of WMS reads produced scaffolds containing rdh genes from Dehalococcoides, Dehalobacter, Dehalogenimonas, Desulfocarbo, and Desulfobacula. Anaerobic and aerobic cometabolic organohalide degrading microbes that increase in abundance include methanogenic Archaea, methanotrophs, Dechloromonas, and Xanthobacter, some of which contain hydrolytic dehalogenase genes. Aerobic cometabolism may be supported by oxygen gradients existing in aquifer microenvironments or by microbes that produce O2 via microbial dismutation. The NRAP model for successful ERD is consistent with the established pathway and identifies new taxa and processes that support this syntrophic process. This project explores the potential of metagenomic tools (MGT) as the next advancement in bioremediation.

Minisyncoccus archaeiphilus gen. nov., sp. nov., a mesophilic, obligate parasitic bacterium and proposal of Minisyncoccaceae fam. nov., Minisyncoccales ord. nov., Minisyncoccia class. nov. and Minisyncoccota phyl. nov. formerly referred to as Candidatus Patescibacteria or candidate phyla radiation

In the domain Bacteria, one of the largest, most diverse and environmentally ubiquitous phylogenetic groups, Candidatus Patescibacteria (also known as candidate phyla radiation/CPR), remains poorly characterized, leaving a major knowledge gap in microbial ecology. We recently discovered a novel cross-domain symbiosis between Ca. Patescibacteria and Archaea in highly purified enrichment cultures and proposed Candidatus taxa for the characterized species, including Ca. Minisyncoccus archaeophilus and the corresponding family Ca. Minisyncoccaceae. In this study, we report the isolation of this bacterium, designated strain PMX.108T, in a two-strain co-culture with a host archaeon, Methanospirillum hungatei strain DSM 864T (JF-1T), and hereby describe it as the first representative species of Ca. Patescibacteria. Strain PMX.108T was isolated from mesophilic methanogenic sludge in an anaerobic laboratory-scale bioreactor treating synthetic purified terephthalate- and dimethyl terephthalate-manufacturing wastewater. The strain could not grow axenically and is obligately anaerobic and parasitic, strictly depending on M. hungatei as a host. The genome was comparatively large (1.54 Mbp) compared to other members of the clade, lacked some genes involved in the biosynthesis pathway and encoded type IV pili-related genes associated with the parasitic lifestyle of ultrasmall microbes. The G+C content of the genomic DNA was 36.6 mol%. Here, we report the phenotypic and genomic properties of strain PMX.108T; we propose Minisyncoccus archaeiphilus gen. nov., sp. nov. to accommodate this strain. The type strain of the species is PMX.108T (=JCM 39522T). We also propose the associated family, order, class and phylum as Minisyncoccaceae fam. nov. Minisyncoccales nov., Minisyncoccia class. nov. and Minisyncoccota phyl. nov. within the bacterial kingdom Bacillati.

Peeling off the layers from microbial dark matter (MDM): recent advances, future challenges, and opportunities

Microbes represent the most common organisms on Earth; however, less than 2% of microbial species in the environment can undergo cultivation for study under laboratory conditions, and the rest of the enigmatic, microbial world remains mysterious, constituting a kind of "microbial dark matter" (MDM). In the last two decades, remarkable progress has been made in culture-dependent and culture-independent techniques. More recently, studies of MDM have relied on culture-independent techniques to recover genetic material through either unicellular genomics or shotgun metagenomics to construct single-amplified genomes (SAGs) and metagenome-assembled genomes (MAGs), respectively, which provide information about evolution and metabolism. Despite the remarkable progress made in the past decades, the functional diversity of MDM still remains uncharacterized. This review comprehensively summarizes the recently developed culture-dependent and culture-independent techniques for characterizing MDM, discussing major challenges, opportunities, and potential applications. These activities contribute to expanding our knowledge of the microbial world and have implications for various fields including Biotechnology, Bioprospecting, Functional genomics, Medicine, Evolutionary and Planetary biology. Overall, this review aims to peel off the layers from MDM, shed light on recent advancements, identify future challenges, and illuminate the exciting opportunities that lie ahead in unraveling the secrets of this intriguing microbial realm.

Superior Resolution Profiling of the Coleofasciculus Microbiome by Amplicon Sequencing of the Complete 16S rRNA Gene and ITS Region

The filamentous cyanobacterium Coleofasciculus chthonoplastes is the key primary producer of marine microbial mats. We elucidated the microbiomes of 32 non-axenic Coleofasciculus isolates using PacBio-based amplicon sequencing of the complete 16S rRNA gene and the internally transcribed spacer (16S-ITS). The length of authentic amplicon sequence variants (ASVs) ranged from 1827 to 3044 nucleotides (median: 2267 nt). The results, which were complemented by metagenome analyses and cultivation approaches, revealed the presence of more than 70 associated heterotrophs in the culture of Coleofasciculus sp. WW12. The great bacterial diversity in the cyanosphere is dominated by Pseudomonadota (59%) and Bacteroidota (23%). Allelic ribosomal operon variants were detected in 18 Coleofasciculus strains and our analyses proposed the presence of at least four different species. A comparative analysis of cyanobacterial microbiomes documented complementary advantages of amplicon sequencing versus metagenomics with an individual strength of the 16S-ITS approach in terms of (i) ribosomal target sequence quality, (ii) contaminant detection and (iii) identification of rare bacteria. The characterisation of the Coleofasciculus microbiome showed that long-read amplicon sequencing of the 16S-ITS region is the method of choice for rapid profiling of non-axenic cyanobacteria. Its superior resolution allows a reliable differentiation of even very closely related strains.

A metagenomic perspective on the microbial prokaryotic genome census

Following 30 years of sequencing, we assessed the phylogenetic diversity (PD) of >1.5 million microbial genomes in public databases, including metagenome-assembled genomes (MAGs) of uncultivated microbes. As compared to the vast diversity uncovered by metagenomic sequences, cultivated taxa account for a modest portion of the overall diversity, 9.73% in bacteria and 6.55% in archaea, while MAGs contribute 48.54% and 57.05%, respectively. Therefore, a substantial fraction of bacterial (41.73%) and archaeal PD (36.39%) still lacks any genomic representation. This unrepresented diversity manifests primarily at lower taxonomic ranks, exemplified by 134,966 species identified in 18,087 metagenomic samples. Our study exposes diversity hotspots in freshwater, marine subsurface, sediment, soil, and other environments, whereas human samples yielded minimal novelty within the context of existing datasets. These results offer a roadmap for future genome recovery efforts, delineating uncaptured taxa in underexplored environments and underscoring the necessity for renewed isolation and sequencing.

Proposal of Patescibacterium danicum gen. nov., sp. nov. in the ubiquitous bacterial phylum Patescibacteriota phyl. nov

Candidatus Patescibacteria is a diverse bacterial phylum that is notable for members with ultrasmall cell size, reduced genomes, limited metabolic capabilities, and dependence on other prokaryotic hosts. Despite the prevalence of the name Ca. Patescibacteria in the scientific literature, it is not officially recognized under the International Code of Nomenclature of Prokaryotes and lacks a nomenclatural type. Here, we rectify this situation by describing two closely related circular metagenome-assembled genomes and by proposing one of them (ABY1TS) to serve as the nomenclatural type for the species Patescibacterium danicum TS gen. nov., sp. nov. according to the rules of the SeqCode. Rank-normalized phylogenomic inference confirmed the stable placement of P. danicum TS in the Ca. Patescibacteria class ABY1. Based on these results, we propose Patescibacterium gen. nov. to serve as the type genus for associated higher taxa, including the phylum Patescibacteriota phyl. nov. We complement our proposal with a genomic characterization, metabolic reconstruction, and biogeographical analysis of Patescibacterium. Our results confirm small genome sizes (<1 Mbp), low GC content (>36%), and the occurrence of long gene coding insertions in the 23S rRNA sequences, along with reduced metabolic potential, inferred symbiotic lifestyle, and a global distribution. In summary, our proposal will provide nomenclatural stability to the fourth-largest phylum in the bacterial domain.

Escherichia coli: An arduous voyage from commensal to Antibiotic-resistance

Escherichia coli (E. coli), a normal intestinal microbiota is one of the most common pathogen known for infecting urinary tract, wound, lungs, bone marrow, blood system and brain. Irrational and overuse of commercially available antibiotics is the most imperative reason behind the emergence of the life threatening infections caused due to antibiotic resistant pathogens. The World Health Organization (WHO) identified antimicrobial resistance (AMR) as one of the 10 biggest public health threats of our time. This harmless commensal can acquire a range of mobile genetic elements harbouring genes coding for virulence factors becoming highly versatile human pathogens causing severe intestinal and extra intestinal diseases. Although, E. coli has been the most widely studied micro-organism, it never ceases to astound us with its ability to open up new research avenues and reveal cutting-edge survival mechanisms in diverse environments that impact human and surrounding environment. This review aims to summarize and highlight persistent research gaps in the field, including: (i) the transfer of resistant genes among bacterial species in diverse environments, such as those associated with humans and animals; (ii) the development of resistance mechanisms against various classes of antibiotics, including quinolones, tetracyclines, etc., in addition to β-lactams; and (iii) the relationship between resistance and virulence factors for understanding how virulence factors and resistance interact to gain a better grasp of how resistance mechanisms impact an organism's capacity to spread illness and interact with the host's defences. Moreover, this review aims to offer a thorough overview, exploring the history and factors contributing to antimicrobial resistance (AMR), the different reported pathotypes, and their links to virulence in both humans and animals. It will also examine their prevalence in various contexts, including food, environmental, and clinical settings. The objective is to deliver a more informative and current analysis, highlighting the evolution from microbiota (historical context) to sophisticated diseases caused by highly successful pathogens. Developing more potent tactics to counteract antibiotic resistance in E. coli requires filling in these gaps. By bridging these gaps, we can strengthen our capacity to manage and prevent resistance, which will eventually enhance public health and patient outcomes.

High-throughput single-cell sequencing of activated sludge microbiome

Wastewater treatment plants (WWTPs) represent one of biotechnology's largest and most critical applications, playing a pivotal role in environmental protection and public health. In WWTPs, activated sludge (AS) plays a major role in removing contaminants and pathogens from wastewater. While metagenomics has advanced our understanding of microbial communities, it still faces challenges in revealing the genomic heterogeneity of cells, uncovering the microbial dark matter, and establishing precise links between genetic elements and their host cells as a bulk method. These issues could be largely resolved by single-cell sequencing, which can offer unprecedented resolution to show the unique genetic information. Here we show the high-throughput single-cell sequencing to the AS microbiome. The single-amplified genomes (SAGs) of 15,110 individual cells were clustered into 2,454 SAG bins. We find that 27.5% of the genomes in the AS microbial community represent potential novel species, highlighting the presence of microbial dark matter. Furthermore, we identified 1,137 antibiotic resistance genes (ARGs), 10,450 plasmid fragments, and 1,343 phage contigs, with shared plasmid and phage groups broadly distributed among hosts, indicating a high frequency of horizontal gene transfer (HGT) within the AS microbiome. Complementary analysis using 1,529 metagenome-assembled genomes from the AS samples allowed for the taxonomic classification of 98 SAG bins, which were previously unclassified. Our study establishes the feasibility of single-cell sequencing in characterizing the AS microbiome, providing novel insights into its ecological dynamics, and deepening our understanding of HGT processes, particularly those involving ARGs. Additionally, this valuable tool could monitor the distribution, spread, and pathogenic hosts of ARGs both within AS environments and between AS and other environments, which will ultimately contribute to developing a health risk evaluation system for diverse environments within a One Health framework.

Decrypting the phylogeny and metabolism of microbial dark matter in green and red Antarctic snow

Antarctic snow harbors diverse microorganisms, including pigmented algae and bacteria, which create colored snow patches and influence global climate and biogeochemical cycles. However, the genomic diversity and metabolic potential of colored snow remain poorly understood. We conducted a genome-resolved study of microbiomes in colored snow from 13 patches (7 green and 6 red) on the Fildes Peninsula, Antarctica. Using metagenome assembly and binning, we reconstructed 223 metagenome-assembled genomes (MAGs), with 91% representing previously unexplored microbes. Green snow (GS) and red snow (RS) showed distinct MAGs profile, with Polaromonas and Ferruginibacter as the most abundant genera, respectively. GS exhibited higher alpha diversity with more unique and enriched MAGs, while RS showed greater variability with higher beta diversity. All MAGs contained genes encoding auxiliary activities (AAs), carbohydrate esterases (CEs), glycoside hydrolases (GHs), and glycosyl transferases (GTs), indicating microbial degradation of complex carbon substrates. The most abundant enzymes included GT2 (cellulose synthase), GT4 (sucrose synthase), CE1 (acetyl xylan esterase), GT41 (peptide beta-N-acetylglucosaminyltransferase), and CE10 (arylesterase). GS had a higher abundance of GTs, whereas RS was enriched in GHs. Furthermore, 56% of MAGs contained genes for inorganic nitrogen cycling, with 18 gene families involved in assimilatory nitrate reduction, dissimilatory nitrate reduction, and denitrification. Potential coupling of nitrogen cycling and carbohydrate metabolism was observed at both genome and community levels, suggesting close links between these pathways, particularly through nitrate reduction during carbohydrate degradation. This study enhances our understanding of microbial metabolic functions in polar ecosystems and highlights their roles in maintaining Antarctic ecological stability.

The critical role of tumor microbiome in cancer immunotherapy

In recent years, the microbiome has shown an integral role in cancer immunotherapy and has become a prominent and widely studied topic. A full understanding of the interactions between the tumor microbiome and various immunotherapies offers opportunities for immunotherapy of cancer. This review scrutinizes the composition of the tumor microbiome, the mechanism of microbial immune regulation, the influence of tumor microorganisms on tumor metastasis, and the interaction between tumor microorganisms and immunotherapy. In addition, this review also summarizes the challenges and opportunities of immunotherapy through tumor microbes, as well as the prospects and directions for future related research. In conclusion, the potential of microbial immunotherapy to enhance treatment outcomes for cancer patients should not be underestimated. Through this review, it is hoped that more research on tumor microbial immunotherapy will be done to better solve the treatment problems of cancer patients.

A plasmid-chromosome crosstalk in multidrug resistant enterobacteria

Conjugative plasmids promote the dissemination and evolution of antimicrobial resistance in bacterial pathogens. However, plasmid acquisition can produce physiological alterations in the bacterial host, leading to potential fitness costs that determine the clinical success of bacteria-plasmid associations. In this study, we use a transcriptomic approach to characterize the interactions between a globally disseminated carbapenem resistance plasmid, pOXA-48, and a diverse collection of multidrug resistant (MDR) enterobacteria. Although pOXA-48 produces mostly strain-specific transcriptional alterations, it also leads to the common overexpression of a small chromosomal operon present in Klebsiella spp. and Citrobacter freundii strains. This operon includes two genes coding for a pirin and an isochorismatase family proteins (pfp and ifp), and shows evidence of horizontal mobilization across Proteobacteria species. Combining genetic engineering, transcriptomics, and CRISPRi gene silencing, we show that a pOXA-48-encoded LysR regulator is responsible for the plasmid-chromosome crosstalk. Crucially, the operon overexpression produces a fitness benefit in a pOXA-48-carrying MDR K. pneumoniae strain, suggesting that this crosstalk promotes the dissemination of carbapenem resistance in clinical settings.

Order of amino acid recruitment into the genetic code resolved by last universal common ancestor's protein domains

The current "consensus" order in which amino acids were added to the genetic code is based on potentially biased criteria, such as the absence of sulfur-containing amino acids from the Urey-Miller experiment which lacked sulfur. More broadly, abiotic abundance might not reflect biotic abundance in the organisms in which the genetic code evolved. Here, we instead identify which protein domains date to the last universal common ancestor (LUCA) and then infer the order of recruitment from deviations of their ancestrally reconstructed amino acid frequencies from the still-ancient post-LUCA controls. We find that smaller amino acids were added to the code earlier, with no additional predictive power in the previous consensus order. Metal-binding (cysteine and histidine) and sulfur-containing (cysteine and methionine) amino acids were added to the genetic code much earlier than previously thought. Methionine and histidine were added to the code earlier than expected from their molecular weights and glutamine later. Early methionine availability is compatible with inferred early use of S-adenosylmethionine and early histidine with its purine-like structure and the demand for metal binding. Even more ancient protein sequences-those that had already diversified into multiple distinct copies prior to LUCA-have significantly higher frequencies of aromatic amino acids (tryptophan, tyrosine, phenylalanine, and histidine) and lower frequencies of valine and glutamic acid than single-copy LUCA sequences. If at least some of these sequences predate the current code, then their distinct enrichment patterns provide hints about earlier, alternative genetic codes.

A global comparison of surface and subsurface microbiomes reveals large-scale biodiversity gradients, and a marine-terrestrial divide

Subsurface environments are among Earth's largest habitats for microbial life. Yet, until recently, we lacked adequate data to accurately differentiate between globally distributed marine and terrestrial surface and subsurface microbiomes. Here, we analyzed 478 archaeal and 964 bacterial metabarcoding datasets and 147 metagenomes from diverse and widely distributed environments. Microbial diversity is similar in marine and terrestrial microbiomes at local to global scales. However, community composition greatly differs between sea and land, corroborating a phylogenetic divide that mirrors patterns in plant and animal diversity. In contrast, community composition overlaps between surface to subsurface environments supporting a diversity continuum rather than a discrete subsurface biosphere. Differences in microbial life thus seem greater between land and sea than between surface and subsurface. Diversity of terrestrial microbiomes decreases with depth, while marine subsurface diversity and phylogenetic distance to cultured isolates rivals or exceeds that of surface environments. We identify distinct microbial community compositions but similar microbial diversity for Earth's subsurface and surface environments.

Nutritional niches of potentially endemic, facultatively anaerobic heterotrophs from an isolated Antarctic terrestrial hydrothermal refugium elucidated through metagenomics

BACKGROUND

Tramway Ridge, a geothermal Antarctic Specially Protected Area (elevation 3340 m) located near the summit of Mount Erebus, is home to a unique community composed of cosmopolitan surface-associated micro-organisms and abundant, poorly understood subsurface-associated microorganisms. Here, we use shotgun metagenomics to compare the functional capabilities of this community to those found elsewhere on Earth and to infer in situ diversity and metabolic capabilities of abundant subsurface taxa.

RESULTS

We found that the functional potential in this community is most similar to that found in terrestrial hydrothermal environments (hot springs, sediments) and that the two dominant organisms in the subsurface carry high rates of in situ diversity which was taken as evidence of potential endemicity. They were found to be facultative anaerobic heterotrophs that likely share a pool of nitrogenous organic compounds while specializing in different carbon compounds.

CONCLUSIONS

Metagenomic insights have provided a detailed understanding of the microbe-based ecosystem found in geothermally heated fumaroles at Tramway Ridge. This approach enabled us to compare Tramway Ridge with other microbial systems, identify potentially endemic taxa and elucidate the key metabolic pathways that may enable specific organisms to dominate the ecosystem.

Beyond genomics in Patescibacteria: A trove of unexplored biology packed into ultrasmall bacteria

Patescibacteria, also known as the Candidate Phyla Radiation, are a diverse clade of largely uncultivated, small bacteria that comprise a significant proportion of all bacterial diversity. The few members that have been cultivated exhibit a fascinating life cycle in which they grow as obligate epibionts on the surface of host bacteria. In this Perspective, we make the case that the study of these unique, divergent, and poorly characterized organisms represents an exciting frontier in microbiology. This burgeoning field has already achieved several critical breakthroughs, including metagenomic sequence-based reconstructions of the metabolic and biosynthetic capabilities of diverse Patescibacteria and the development of generalizable strategies for their cultivation and genetic manipulation. We argue these that advances, among others, should pave the way toward a molecular understanding of the complex interactions that undoubtedly underpin the relationship between Patescibacteria and their hosts.

Assessment of ecological risks posed by veterinary antibiotics in European aquatic environments: A comprehensive review and analysis

The extensive use of antibiotics in human and veterinary medicine has led to the emergence of antibiotic contaminants in the environment, posing significant risks to ecosystems and public health. This contamination arises from the persistence of antibiotics in aquatic environments, particularly in aquifer systems, where they contribute to the growing threat of antibiotic resistance. Despite increasing research, the understanding of the ecological and human health implications of these contaminants remains incomplete. Since these compounds are only partially removed by conventional wastewater treatment plants (WWTPs), they are continuously released into the environment. Antibiotics enter the environment mainly through human and animal excretions, improper drug disposal, wastewater treatment plants, and waste streams from antibiotic production. Recent research has focused on antibiotic metabolites and transformation products, which can affect aquatic ecosystems and the food chain, posing long-term risks to human health. This critical review provides a comprehensive analysis of the risk assessment of veterinary antibiotics (VAs) in European aquatic environments, where VAs concentrations ranging from micrograms to milligrams per liter. By examining toxicity data from freshwater and saltwater species, the study evaluates acute and chronic effects across different antibiotic classes. The review also assesses the sensitivity of various taxonomic groups and species to different antibiotics, providing insights into potential ecological risks. Species sensitivity distributions and hazard concentrations affecting a given percentage of species are calculated to assess the overall ecological risk. The findings reveal varying proportions of toxicity data across antibiotic classes, with Aminoglycosides, β-lactams, Fluoroquinolones, Macrolides, and Tetracyclines classes demonstrating higher toxicity levels than others towards certain cyanobacteria and chlorophyta species. Macrolides and Fluoroquinolones emerge as particularly concerning due to their high toxicological risks across various aquatic environments. The analysis underscores the urgent need for further research to fill knowledge gaps and develop effective strategies to mitigate the harmful effects of VAs on aquatic ecosystems and human health.

Phylogeny and evolution of dissimilatory sulfite reduction in prokaryotes

Sulfate is the second most common nonmetallic ion in modern oceans, as its concentration dramatically increased alongside tectonic activity and atmospheric oxidation in the Proterozoic. Microbial sulfate/sulfite metabolism, involving organic carbon or hydrogen oxidation, is linked to sulfur and carbon biogeochemical cycles. However, the coevolution of microbial sulfate/sulfite metabolism and Earth's history remains unclear. Here, we conducted a comprehensive phylogenetic analysis to explore the evolutionary history of the dissimilatory sulfite reduction (Dsr) pathway. The phylogenies of the Dsr-related genes presented similar branching patterns but also some incongruencies, indicating the complex origin and evolution of Dsr. Among these genes, dsrAB is the hallmark of sulfur-metabolizing prokaryotes. Our detailed analyses suggested that the evolution of dsrAB was shaped by vertical inheritance and multiple horizontal gene transfer events and that selection pressure varied across distinct lineages. Dated phylogenetic trees indicated that key evolutionary events of dissimilatory sulfur-metabolizing prokaryotes were related to the Great Oxygenation Event (2.4-2.0 Ga) and several geological events in the "Boring Billion" (1.8-0.8 Ga), including the fragmentation of the Columbia supercontinent (approximately 1.6 Ga), the rapid increase in marine sulfate (1.3-1.2 Ga), and the Neoproterozoic glaciation event (approximately 1.0 Ga). We also proposed that the voluminous iron formations (approximately 1.88 Ga) might have induced the metabolic innovation of iron reduction. In summary, our study provides new insights into Dsr evolution and a systematic view of the coevolution of dissimilatory sulfur-metabolizing prokaryotes and the Earth's environment.

Unravelling a Latent Pathobiome Across Coral Reef Biotopes

Previous studies on disease in coral reef organisms have neglected the natural distribution of potential pathogens and the genetic factors that underlie disease incidence. This study explores the intricate associations between hosts, microbial communities, putative pathogens, antibiotic resistance genes (ARGs) and virulence factors (VFs) across diverse coral reef biotopes. We observed a substantial compositional overlap of putative bacterial pathogens, VFs and ARGs across biotopes, consistent with the 'everything is everywhere, but the environment selects' hypothesis. However, flatworms and soft corals deviated from this pattern, harbouring the least diverse microbial communities and the lowest diversity of putative pathogens and ARGs. Notably, our study revealed a significant congruence between the distribution of putative pathogens, ARGs and microbial assemblages across different biotopes, suggesting an association between pathogen and ARG occurrence. This study sheds light on the existence of this latent pathobiome, the disturbance of which may contribute to disease onset in coral reef organisms.

Metagenomic characterization of viruses and mobile genetic elements associated with the DPANN archaeal superphylum

The archaeal superphylum DPANN (an acronym formed from the initials of the first five phyla discovered: Diapherotrites, Parvarchaeota, Aenigmarchaeota, Nanohaloarchaeota and Nanoarchaeota) is a group of ultrasmall symbionts able to survive in extreme ecosystems. The diversity and dynamics between DPANN archaea and their virome remain largely unknown. Here we use a metagenomic clustered regularly interspaced short palindromic repeats (CRISPR) screening approach to identify 97 globally distributed, non-redundant viruses and unclassified mobile genetic elements predicted to infect hosts across 8 DPANN phyla, including 7 viral groups not previously characterized. Genomic analysis suggests a diversity of viral morphologies including head-tailed, tailless icosahedral and spindle-shaped viruses with the potential to establish lytic, chronic or lysogenic infections. We also find evidence of a virally encoded Cas12f1 protein (probably originating from uncultured DPANN archaea) and a mini-CRISPR array, which could play a role in modulating host metabolism. Many metagenomes have virus-to-host ratios >10, indicating that DPANN viruses play an important role in controlling host populations. Overall, our study illuminates the underexplored diversity, functional repertoires and host interactions of the DPANN virome.

Lineage-dependent partitioning of activities in chemoclines defines Woesearchaeota ecotypes in an extreme aquatic ecosystem

BACKGROUND

DPANN archaea, including Woesearchaeota, encompass a large fraction of the archaeal diversity, yet their genomic diversity, lifestyle, and role in natural microbiomes remain elusive. With an archaeal assemblage naturally enriched in Woesearchaeota and steep vertical geochemical gradients, Lake Dziani Dzaha (Mayotte) provides an ideal model to decipher their in-situ activity and ecology.

RESULTS

Using genome-resolved metagenomics and phylogenomics, we identified highly diversified Woesearchaeota populations and defined novel halophilic clades. Depth distribution of these populations in the water column showed an unusual double peak of abundance, located at two distinct chemoclines that are hotspots of microbial diversity in the water column. Genome-centric metatranscriptomics confirmed this vertical distribution and revealed a fermentative activity, with acetate and lactate as end products, and active cell-to-cell processes, supporting strong interactions with other community members at chemoclines. Our results also revealed distinct Woesearchaeota ecotypes, with different transcriptional patterns, contrasted lifestyles, and ecological strategies, depending on environmental/host conditions.

CONCLUSIONS

This work provides novel insights into Woesearchaeota in situ activity and metabolism, revealing invariant, bimodal, and adaptative lifestyles among halophilic Woesearchaeota. This challenges our precepts of an invariable host-dependent metabolism for all the members of this taxa and revises our understanding of their contributions to ecosystem functioning and microbiome assemblage. Video Abstract.

Ecology and biogeochemistry of the microbial underworld in two sister soda lakes

BACKGROUND

Approximately 3.7 billion years ago, microbial life may have emerged in phosphate-rich salty ponds. Surprisingly, analogs of these environments are present in alkaline lake systems, recognized as highly productive biological ecosystems. In this study, we investigate the microbial ecology of two Canadian soda lake sediment systems characterized by naturally high phosphate levels.

RESULTS

Using a comprehensive approach involving geochemistry, metagenomics, and amplicon sequencing, we discovered that groundwater infiltration into Lake Goodenough sediments supported stratified layers of microbial metabolisms fueled by decaying mats. Effective degradation of microbial mats resulted in unexpectedly low net productivity. Evaporation of water from Last Chance Lake and its sediments led to saturation of brines and a habitat dominated by inorganic precipitation reactions, with low productivity, low organic matter turnover and little biological uptake of phosphorus, leading to high phosphate concentrations. Highly alkaline brines were found to be dominated by potentially dormant spore-forming bacteria. These saturated brines also hosted potential symbioses between Halobacteria and Nanoarchaeaota, as well as Lokiarchaea and bacterial sulfate reducers. Metagenome-assembled genomes of Nanoarchaeaota lacked strategies for coping with salty brines and were minimal for Lokiarchaea.

CONCLUSIONS

Our research highlights that modern analogs for origin-of-life conditions might be better represented by soda lakes with low phosphate concentrations. Thus, highly alkaline brine environments could be too extreme to support origin of life scenarios. These findings shed light on the complex interplay of microbial life in extreme environments and contribute to our understanding of early Earth environments.

Saccharibacteria deploy two distinct Type IV pili, driving episymbiosis, host competition, and twitching motility

All cultivated Patescibacteria, or CPR, exist as obligate episymbionts on other microbes. Despite being ubiquitous in mammals and environmentally, molecular mechanisms of host identification and binding amongst ultrasmall bacterial episymbionts are largely unknown. Type 4 pili (T4P) are well conserved in this group and predicted to facilitate symbiotic interactions. To test this, we targeted T4P pilin genes in Saccharibacteria Nanosynbacter lyticus strain TM7x to assess their essentiality and roles in symbiosis. Our results revealed that N. lyticus assembles two distinct T4P, a non-essential thin pili that has the smallest diameter of any T4P and contributes to host-binding, episymbiont growth, and competitive fitness relative to other Saccharibacteria, and an essential thick pili whose functions include twitching motility. Identification of lectin-like minor pilins and modification of host cell walls suggest glycan binding mechanisms. Collectively our findings demonstrate that Saccharibacteria encode unique extracellular pili that are vital mediators of their underexplored episymbiotic lifestyle.

Artificial Intelligence-Assisted Automatic Raman-Activated Cell Sorting (AI-RACS) System for Mining Specific Functional Microorganisms in the Microbiome

The microbiome represents the natural presence of microorganisms, and exploring, understanding, and leveraging its functions will bring about significant breakthroughs in life sciences and applications. Raman-activated cell sorting (RACS) enables the correlation of phenotype and genotype at the single-cell level, offering a solution to the bottleneck in microbial community functional analysis caused by challenges in cultivating diverse microorganisms. However, current labor-intensive manual procedures fall short in catering to the demands of single-cell functional analysis in microbial communities. To address this issue, we developed an artificial intelligence-assisted Raman-activated cell sorting system (AI-RACS) that integrates precise single-cell positioning, automated data collection, optical tweezers capture, and single-cell printing to elevate microbial single-cell RACS from manual to automated, validating the efficacy of the system by isolating aluminum-tolerant microbes from acidic soil microbiota. Leveraging the AI-RACS framework, we sorted 13 strains from red soil samples under near-in situ conditions, with all demonstrating strong aluminum tolerance. AI-RACS efficiently segregates microbial cells from intricate environmental samples, investigating their functional attributes and presenting a novel tool for microbial research and applications.

Multi-omics analysis reveals the core microbiome and biomarker for nutrition degradation in alfalfa silage fermentation

Alfalfa (Medicago sativa L.) is one of the most extensively cultivated forage crops globally, and its nutritional quality critically influences the productivity of dairy cows. Silage fermentation is recognized as a crucial technique for the preservation of fresh forage, ensuring the retention of its vital nutrients. However, the detailed microbial components and their functions in silage fermentation are not fully understood. This study integrated large-scale microbial culturing with high-throughput sequencing to thoroughly examine the microbial community structure in alfalfa silage and explored the potential pathways of nutritional degradation via metagenomic analysis. The findings revealed an enriched microbial diversity in silage, indicated by the identification of amplicon sequence variants. Significantly, the large-scale culturing approach recovered a considerable number of unique microbes undetectable by high-throughput sequencing. Predominant genera, such as Lactiplantibacillus, Leuconostoc, Lentilactobacillus, Weissella, and Liquorilactobacillus, were identified based on their abundance and prevalence. Additionally, genes associated with Enterobacteriaceae were discovered, which might be involved in pathways leading to the production of ammonia-N and butyric acid. Overall, this study offers a comprehensive insight into the microbial ecology of silage fermentation and provides valuable information for leveraging microbial consortia to enhance fermentation quality.

IMPORTANCE

Silage fermentation is a microbial-driven anaerobic process that efficiently converts various substrates into nutrients readily absorbable and metabolizable by ruminant animals. This study, integrating culturomics and metagenomics, has successfully identified core microorganisms involved in silage fermentation, including those at low abundance. This discovery is crucial for the targeted cultivation of specific microorganisms to optimize fermentation processes. Furthermore, our research has uncovered signature microorganisms that play pivotal roles in nutrient metabolism, significantly advancing our understanding of the intricate relationships between microbial communities and nutrient degradation during silage fermentation.

Exploring Microbial Dark Matter for the Discovery of Novel Natural Products: Characteristics, Abundance Challenges and Methods

The objective of this review is to investigate microbial dark matter (MDM) with a focus on its potential for discovering novel natural products (NPs). This first part will examine the characteristics and abundance of these previously unexplored microbial communities, as well as the challenges faced in identifying and harnessing their unique biochemical properties and novel methods in this field. MDMs are thought to hold great potential for the discovery of novel NPs, which could have significant applications in medicine, agriculture, and industry. In recent years, there has been a growing interest in exploring MDM to unlock its potential. In fact, developments in genome-sequencing technologies and sophisticated phylogenetic procedures and metagenomic techniques have contributed to drastically make important changes in our sights on the diversity of microbial life, including the very outline of the tree of life. This has led to the development of novel technologies and methodologies for studying these elusive microorganisms, such as single-cell genomics, metagenomics, and culturomics. These approaches enable researchers to isolate and analyze individual microbial cells, as well as entire communities, providing insights into their genetic and metabolic potential. By delving into the MDM, scientists hope to uncover new compounds and biotechnological advancements that could have far-reaching impacts on various fields.

Genome-guided isolation of the hyperthermophilic aerobe Fervidibacter sacchari reveals conserved polysaccharide metabolism in the Armatimonadota

Few aerobic hyperthermophilic microorganisms degrade polysaccharides. Here, we describe the genome-enabled enrichment and optical tweezer-based isolation of an aerobic polysaccharide-degrading hyperthermophile, Fervidibacter sacchari, previously ascribed to candidate phylum Fervidibacteria. F. sacchari uses polysaccharides and monosaccharides for growth at 65-87.5 °C and expresses 191 carbohydrate-active enzymes (CAZymes) according to RNA-Seq and proteomics, including 31 with unusual glycoside hydrolase domains (GH109, GH177, GH179). Fluorescence in-situ hybridization and nanoscale secondary ion mass spectrometry confirmed rapid assimilation of 13C-starch in spring sediments. Purified GHs were optimally active at 80-100 °C on ten different polysaccharides. Finally, we propose reassigning Fervidibacteria as a class within phylum Armatimonadota, along with 18 other species, and show that a high number and diversity of CAZymes is a hallmark of the phylum, in both aerobic and anaerobic lineages. Our study establishes Fervidibacteria as hyperthermophilic polysaccharide degraders in terrestrial geothermal springs and suggests a broad role for Armatimonadota in polysaccharide catabolism.

Metabolic Labeling and Digital Microfluidic Single-Cell Sequencing for Single Bacterial Genotypic-Phenotypic Analysis

Accurate assessment of phenotypic and genotypic characteristics of bacteria can facilitate comprehensive cataloguing of all the resistance factors for better understanding of antibiotic resistance. However, current methods primarily focus on individual phenotypic or genotypic profiles across different colonies. Here, a Digital microfluidic-based automated assay for whole-genome sequencing of single-antibiotic-resistant bacteria is reported, enabling Genotypic and Phenotypic Analysis of antibiotic-resistant strains (Digital-GPA). Digital-GPA can efficiently isolate and sequence antibiotic-resistant bacteria illuminated by fluorescent D-amino acid (FDAA)-labeling, producing high-quality single-cell amplified genomes (SAGs). This enables identifications of both minor and major mutations, pinpointing substrains with distinctive resistance mechanisms. Digital-GPA can directly process clinical samples to detect and sequence resistant pathogens without bacterial culture, subsequently provide genetic profiles of antibiotic susceptibility, promising to expedite the analysis of hard-to-culture or slow-growing bacteria. Overall, Digital-GPA opens a new avenue for antibiotic resistance analysis by providing accurate and comprehensive molecular profiles of antibiotic resistance at single-cell resolution.

Culturomics- and metagenomics-based insights into the soil microbiome preservation and application for sustainable agriculture

Soil health is crucial for global food production in the context of an ever-growing global population. Microbiomes, a combination of microorganisms and their activities, play a pivotal role by biodegrading contaminants, maintaining soil structure, controlling nutrients' cycles, and regulating the plant responses to biotic and abiotic stresses. Microbiome-based solutions along the soil-plant continuum, and their scaling up from laboratory experiments to field applications, hold promise for enhancing agricultural sustainability by harnessing the power of microbial consortia. Synthetic microbial communities, i.e., selected microbial consortia, are designed to perform specific functions. In contrast, natural communities leverage indigenous microbial populations that are adapted to local soil conditions, promoting ecosystem resilience, and reducing reliance on external inputs. The identification of microbial indicators requires a holistic approach. It is fundamental for current understanding the soil health status and for providing a comprehensive assessment of sustainable land management practices and conservation efforts. Recent advancements in molecular technologies, such as high-throughput sequencing, revealed the incredible diversity of soil microbiomes. On one hand, metagenomic sequencing allows the characterization of the entire genetic composition of soil microbiomes, and the examination of their functional potential and ecological roles; on the other hand, culturomics-based approaches and metabolic fingerprinting offer complementary information by providing snapshots of microbial diversity and metabolic activities both in and ex-situ. Long-term storage and cryopreservation of mixed culture and whole microbiome are crucial to maintain the originality of the sample in microbiome biobanking and for the development and application of microbiome-based innovation. This review aims to elucidate the available approaches to characterize diversity, function, and resilience of soil microbial communities and to develop microbiome-based solutions that can pave the way for harnessing nature's untapped resources to cultivate crops in healthy soils, to enhance plant resilience to abiotic and biotic stresses, and to shape thriving ecosystems unlocking the potential of soil microbiomes is key to sustainable agriculture. Improving management practices by incorporating beneficial microbial consortia, and promoting resilience to climate change by facilitating adaptive strategies with respect to environmental conditions are the global challenges of the future to address the issues of climate change, land degradation and food security.