Microbial Genomes Research Articles

Global biogeography and projection of antimicrobial toxin genes.

Antimicrobial toxin genes (ATGs) encode potent antimicrobial weapons in nature that rival antibiotics, significantly impacting microbial survival and offering potential benefits for human health. However, the drivers of their global diversity and biogeography remain unknown. Here, we identified 4400 ATG clusters from 149 families by correlating 10,000 samples worldwide with over 200,000 microbial genome data. We demonstrated that global microbial communities universally encode complex and diverse ATGs, with widespread differences across various habitats. Most ATG clusters were rare within habitats but were shared among habitats. Compared with those in animal-associated habitats, ATG clusters in human-associated habitats exhibit greater diversity and a greater proportion of sharing with natural habitats. We generated a global atlas of ATG distribution, identifying anthropogenic factors as crucial in explaining ATG diversity hotspots. Our study provides baseline information on the global distribution of antimicrobial toxins by combining community samples, genome sequences, and environmental constraints. Our results highlight the natural environment as a reservoir of antimicrobial toxins, advance the understanding of the global distribution of these antimicrobial weapons, and aid their application in clinical, agricultural, and industrial fields. Video Abstract.

Exploring strategies for kitchen waste treatment and remediation from the perspectives of microbial ecology and genomics.

Nowadays, the rapid growth of population has led to a substantial increase in kitchen waste and wasted sludge. Kitchen waste is rich in organic matter, including lignocellulose. Synergistic treatment involving kitchen waste and wasted sludge can enhance treatment process. Vermicomposting can facilitate microbial activities on organic matter. Nevertheless, the underlying mechanisms remain unclear. In this study, metagenomics was used to analyze microbial functional genes in vermicomposting. Redundancy analysis found that TOC, TN and DTN adversely affect earthworm growth and reproduction. The relative abundance of Bacteroidetes and Firmicutes increased with earthworms, thereby potentially augmenting lignocellulose degradation. The predominant functional genes included amino acid, carbohydrate, and inorganic ion conversion and metabolism. Metagenomics analysis demonstrated that GH1, GH3, GH5, GH6, GH9, GH12, GH44, GH48 and GH74, GT41, GT4, GT2, and GT51 were dominant. Furthermore, there was higher abundance of carbohydrate-active enzymes in the vermicomposting, particularly during the later phases (30-45 days). Co-occurrence network revealed that Cellvibrio in the vermicomposting exhibited a relatively dense positive correlation with other microbial groups. The findings elucidated the mechanism of vermicomposting as a promising approach for managing kitchen waste and wasted sludge.

Metagenomics and Metagenome-Assembled Genomes: Analysis of Cupei from Sichuan Baoning Vinegar, One of the Four Traditional Renowned Vinegars in China

The microbial community in vinegar has primarily been investigated by analyzing short reads to determine operational taxonomic units, but it is also crucial to identify metagenome-assembled genomes (MAGs). In this study, the microbial diversity and functionality in Sichuan Baoning vinegar were examined through deep metagenomic sequencing and metagenomic binning. Results revealed that the most prevalent phylum was Firmicutes, followed by Proteobacteria and unclassified Bacteria. The most abundant bacterial species was Acetilactobacillus jinshanensis, while Saccharomyces cerevisiae was the most prevalent fungal species. The predominant viral species were Hopescreekvirus LfeInf, Myoviridae sp., and Siphoviridae sp. A total of 1395 MAGs were reconstructed, with 660 of them annotated. The majority of MAGs resolved at the species level were attributed to Firmicutes (n = 308), with Acetilactobacillus jinshanensis being the most abundant. According to the average nucleotide identity values, 223 out of the 660 MAGs might represent novel species. The recovered MAGs exhibited biomarker genes indicative of the genetic potential to encode several important secondary metabolites. This study helps to uncover the microbial composition and functional potential of microbial genomes in Sichuan Baoning vinegar.

Metagenome-assembled microbial genomes (n = 3,448) of the oral microbiomes of Tibetan and Duroc pigs

Compared with leaner breeds, local Chinese pig breeds have distinct intestinal microbial, as determined by metagenomic techniques, and the interactions between oral microorganisms and their hosts are also gradually being clarified. However, the high host genome content means that few metagenome-based oral microbiomes have been reported. Here, we combined dilution-based metagenomic sequencing and binning approaches to extract the microbial genomes from the oral microbiomes of Tibetan and Duroc pigs. The host contamination rates were reduced to 13.64%, a quarter of the normal metagenomic level (65.25% on average). Medium–high-quality metagenome-assembled genomes (MAGs; n = 3,448) spanning nine phyla were retrieved and 70.79% were novel species. Of the nonredundant MAGs, only 13.37% were shared, revealing the strong disparities between Tibetan and Duroc pigs. The oral microbial diversity of the Duroc pig was greater than that of the Tibetan pig. We present the first large-scale dilute-based metagenomic data on the pig oral microbiome, which should facilitate further investigation of the functions of oral microorganisms in pigs.

DOP123 Linking microbial genes to mucosal metabolites uncovers host-microbial interactions during 5-ASA therapy for ulcerative colitis

Abstract Background The severity of ulcerative colitis (UC) depends on the state of the colon mucosa, where achieving mucosal remission markedly improves patient prognosis and quality of life. The study aimed to characterize essential mucosal metabolites and microbial gene involved in UC remission, and to elucidate the mechanisms by which specific metabolites regulate intestinal homeostasis. Methods An integrated metagenomic and metabolomic analysis was conducted to elucidate the correlation between disease-associated microbes and host mucosal metabolites. Participants included non-UC controls and individuals with UC, comprising the responding group (UCR) and ineffective group (UCA) in 5-ASA treatment. The differential metabolite was further investigated using a DSS-induced colitis mouse model, followed by in vitro experiments to explore the mechanisms. Results The levels of mucosal secondary bile acids were found to have a significant negative association with intestinal inflammation during 5-ASA treatment. Integrated analysis of metagenomics and metabolomics revealed that host mucosal bile acid metabolites were negatively associated with the bile acid synthesis-related genes cbh in microbial genomes. Administration of the secondary bile acid mitigated mucosal inflammation in a colitis model by decreasing the proportion of Th17 and pathogenic Th17 cells. This secondary bile acid functions as an immunomodulatory metabolite, suppressing glycolysis in Th17-polarizing T cells to inhibit the Th17 cell response and modulating the gut microbiota. Conclusion These findings suggest that alterations in microbiome-metabolome interactions are critical for maintaining mucosal homeostasis during UC remission. The specific bile acid acts as an immunomodulatory metabolite, and may represent a potential therapeutic strategy for UC.

Dynamic changes in the gastrointestinal microbial communities of Gangba sheep and analysis of their functions in plant biomass degradation at high altitude

BackgroundWhile Gangba sheep being well known for their unique flavour and nutritional value, harsh environmental factors negatively affect their growth and development, leading to poor productivity. The gastrointestinal tract microbiota plays an important role in host nutrient absorption and metabolism. The identification of dynamic changes in the gastrointestinal microbial communities and their functions is an important step towards improving animal production performance and health.ResultsA comprehensive multi-omics survey of the microbial communities of the Gangba sheep gastrointestinal tract was performed under three distinct feeding strategies: natural grazing, semi-grazing with supplementation, and barn feeding. The dynamic changes, cross-kingdom partnerships and functional potential profiles were analysed and the results revealed that the feeding strategies had a greater impact on the microbial communities than the site of the gastrointestinal tract. The different microbial associations among the groups were revealed by co-occurrence networks based on the amplicon sequence variants (ASVs). Moreover, a Gangba sheep gastrointestinal microbial genomic catalogue was constructed for the first time, including 1146 metagenome-assembled genomes (MAGs) with completeness > 50% and contamination < 10%, among which, 504 bacterial and 15 archaeal MAGs were of high quality with completeness > 80% and contamination < 10%. About 40% of the high-quality MAGs displaying enzyme activity were related to the microbial species that contribute to plant biomass degradation. Most of these enzymes were expressed in rumen metatranscriptome datasets, especially in Prevotella spp. and Ruminococcus spp., suggesting that gastrointestinal microbial communities in ruminants play major roles in the digestion of plant biomass to provide nutrition and energy for the host.ConclusionsThese findings suggest that feeding strategies are the primary cause of changes in the gastrointestinal microbiome. Diversification of livestock feed might be an effective strategy to maintain the diversity and ecological multifunctionality of microbial communities in the gastrointestinal tract. Additionally, the catalogue of microbial genomes and the encoded biomass-degrading enzymes identified here provide insights into the potential microbial functions of the gastrointestinal tract of Gangba sheep at high altitudes. This paves the way for microbial interventions to improve the growth performance, productivity and product quality of ruminant livestock.Eyk4xgS_hcbJW5EurPGBJ5Video

Interpretable adenylation domain specificity prediction using protein language models.

Natural products have long been a rich source of diverse and clinically effective drug candidates. Non-ribosomal peptides (NRPs), polyketides (PKs), and NRP-PK hybrids are three classes of natural products that display a broad range of bioactivities, including antibiotic, antifungal, anticancer, and immunosuppressant activities. However, discovering these compounds through traditional bioactivity-guided techniques is costly and time-consuming, often resulting in the rediscovery of known molecules. Consequently, genome mining has emerged as a high-throughput strategy to screen hundreds of thousands of microbial genomes to identify their potential to produce novel natural products. Adenylation domains play a key role in the biosynthesis of NRPs and NRP-PKs by recruiting substrates to incrementally build the final structure. We propose MASPR, a machine learning method that leverages protein language models for accurate and interpretable predictions of A-domain substrate specificities. MASPR demonstrates superior accuracy and generalization over existing methods and is capable of predicting substrates not present in its training data, or zero-shot classification. We use MASPR to develop Seq2Hybrid, an efficient algorithm to predict the structure of hybrid NRP-PK natural products from microbial genomes. Using Seq2Hybrid, we propose putative biosynthetic gene clusters for the orphan natural products Octaminomycin A, Dityromycin, SW-163B, and JBIR-39.

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.

MBGD: Microbial Genome Database for Comparative Analysis Featuring Enhanced Functionality to Characterize Gene and Genome Functions Through Large-scale Orthology Analysis.

Microbial Genome Database for Comparative Analysis (MBGD) is a comprehensive ortholog database encompassing published complete microbial genomes. The ortholog tables in MBGD are constructed in a hierarchical manner. The top-level ortholog table is now constructed from 1,812 genus-level pan-genomes, 6,268 species-level pan-genomes, and 34,079 genomes in total. To support analyses of newly sequenced genomes, MBGD updates MyMBGD functionality, which offers two analysis modes: assignment mode and clustering mode. Assignment mode rapidly classifies genes in the query genomes into existing MBGD ortholog groups, while clustering mode performs de novo clustering of query genomes using the DomClust program. In assignment mode, users can evaluate the presence of genomic functions, as defined in the KEGG Module database, in each query genome using the Genomaple software and compare the results across multiple genomes. To enhance this analysis, we developed a method to subdivide MBGD ortholog groups as needed to improve cross-references to the KEGG Orthology groups. Another notable feature is the phylogenetic profile search interface, which enables users to specify a set of organisms in which orthologs are present or absent (i.e., a phylogenetic profile), and search for ortholog groups with similar phylogenetic profiles. To construct a phylogenetic profile, users can search organisms by specifying phenotype, environment, taxonomy, or a particular ortholog group. MBGD is available at https://mbgd.nibb.ac.jp/.

Pangenomic analysis of the bacterial cellulose-producing genera Komagataeibacter and Novacetimonas.

Bacterial cellulose (BC) holds significant commercial potential due to its unique structural and chemical properties, making it suitable for applications in electronics, medicine, and pharmaceuticals. However, large-scale BC production remains limited by challenges in bacterial performance. In this study, we compared 79 microbial genomes from three genera-Komagataeibacter, Novacetimonas, and Gluconacetobacter-to investigate their pangenomes, genetic diversity, and evolutionary relationships. Through comparative genomic and phylogenetic analyses, we identified distinct genome compositions and evolutionary patterns that differ from previous reports. The role of horizontal gene transfer (HGT) in shaping the genetic diversity and adaptability of these bacteria was also explored. Key determinants in BC production, such as variations in the bacterial cellulose biosynthesis (bcs) operon, carbohydrate uptake genes, and carbohydrate-active enzymes, were examined. Additionally, several biosynthetic gene clusters (BGCs), including Linocin M18 and sactipeptides, which encode for antimicrobial peptides known as bacteriocins, were identified. These findings reveal new aspects of the genetic diversity in cellulose-producing bacteria and present a comprehensive genomic toolkit that will support future efforts to optimize BC production and improve microbial performance for commercial applications.

CompàreGenome: a command-line tool for genomic diversity estimation in prokaryotes and eukaryotes

BackgroundThe increasing availability of sequenced genomes has enabled comparative analyses of various organisms. Numerous tools and online platforms have been developed for this purpose, facilitating the identification of unique features within selected organisms. However, choosing the most appropriate tools can be unclear during the initial stages of analysis, often requiring multiple attempts to match the specific characteristics of the data. Here, we introduce CompàreGenome, a command-line tool specifically designed for genomic diversity estimation analyses. Suitable for both prokaryotes and eukaryotes, this tool is particularly valuable in the early stages of studies when little information is available about the genetic differences or similarities among compared organisms.ResultsIn all the tests conducted, CompàreGenome successfully identified specific genetic features of the selected organisms, detected the most conserved genes, pinpointed highly divergent ones, and functionally annotated these genes. This provided insights into biological processes, molecular functions, and cellular components associated with each gene. The tool also distinguished organisms at the strain level and quantified genetic distances using three distinct analytical methods.ConclusionCompàreGenome empowers users to explore genomic differences among organisms, translating technical outputs from various tools into actionable insights for biologists. While primarily tested on small microbial genomes, the tool has potential applications for larger genomes. CompàreGenome is implemented in Bash, R, and Python and is freely available under an LGPL-2.1 license.

BenchAMRking: a Galaxy-based platform for illustrating the major issues associated with current antimicrobial resistance (AMR) gene prediction workflows

BackgroundThe Joint Programming Initiative on Antimicrobial Resistance (JPIAMR) networks ‘Seq4AMR’ and ‘B2B2B AMR Dx’ were established to promote collaboration between microbial whole genome sequencing (WGS) and antimicrobial resistance (AMR) stakeholders. A key topic discussed was the frequent variability in results obtained between different microbial WGS-related AMR gene prediction workflows. Further, comparative benchmarking studies are difficult to perform due to differences in AMR gene prediction accuracy and a lack of agreement in the naming of AMR genes (semantic conformity) for the results obtained. To illustrate this problem, and as a capacity-building exercise to encourage stakeholder involvement, a comparative Galaxy-based BenchAMRking platform was developed and validated using datasets from bacterial species with PCR-verified AMR gene presence or absence information from abritAMR.ResultsThe Galaxy-based BenchAMRking platform (https://erasmusmc-bioinformatics.github.io/benchAMRking/) specifically focusses on the steps involved in identifying AMR genes from raw reads and sequence assemblies. The platform currently comprises four well-characterised and published workflows that have previously been used to identify AMR genes using WGS data from several different bacterial species. These four workflows, which include the ISO certified abritAMR workflow, make use of different computational tools (or tool versions), and interrogate different AMR gene sequence databases. By utilising their own data, users can investigate potential AMR gene-calling problems associated with their own in silico workflows/protocols, with a potential use case outlined in this publication.ConclusionsBenchAMRking is a Galaxy-based comparison platform where users can access, visualise, and explore some of the major discrepancies associated with AMR gene prediction from microbial WGS data.

PanKB: An interactive microbial pangenome knowledgebase for research, biotechnological innovation, and knowledge mining.

The exponential growth of microbial genome data presents unprecedented opportunities for unlocking the potential of microorganisms. The burgeoning field of pangenomics offers a framework for extracting insights from this big biological data. Recent advances in microbial pangenomic research have generated substantial data and literature, yielding valuable knowledge across diverse microbial species. PanKB (pankb.org), a knowledgebase designed for microbial pangenomics research and biotechnological applications, was built to capitalize on this wealth of information. PanKB currently includes 51 pangenomes from 8 industrially relevant microbial families, comprising 8402 genomes, over 500 000 genes and over 7M mutations. To describe this data, PanKB implements four main components: (1) Interactive pangenomic analytics to facilitate exploration, intuition, and potential discoveries; (2) Alleleomic analytics, a pangenomic-scale analysis of variants, providing insights into intra-species sequence variation and potential mutations for applications; (3) A global search function enabling broad and deep investigations across pangenomes to power research and bioengineering workflows; (4) A bibliome of 833 open-access pangenomic papers and an interface with an LLM that can answer in-depth questions using its knowledge. PanKB empowers researchers and bioengineers to harness the potential of microbial pangenomics and serves as a valuable resource bridging the gap between pangenomic data and practical applications.

Periodic Table of Immunomodulatory Elements and Derived Two‐Dimensional Biomaterials

AbstractPeriodic table of chemical elements serves as the foundation of material chemistry, impacting human health in many different ways. It contributes to the creation, growth, and manipulation of functional metallic, ceramic, metalloid, polymeric, and carbon‐based materials on and near an atomic scale. Recent nanotechnology advancements have revolutionized the field of biomedical engineering to tackle longstanding clinical challenges. The use of nano‐biomaterials has gained traction in medicine, specifically in the areas of nano‐immunoengineering to treat inflammatory and infectious diseases. Two‐dimensional (2D) nanomaterials have been found to possess high bioactive surface area and compatibility with human and mammalian cells at controlled doses. Furthermore, these biomaterials have intrinsic immunomodulatory properties, which is crucial for their application in immuno‐nanomedicine. While significant progress has been made in understanding their bioactivity and biocompatibility, the exact immunomodulatory responses and mechanisms of these materials are still being explored. Current work outlines an innovative “immunomodulatory periodic table of elements” beyond the periodic table of life, medicine, and microbial genomics and comprehensively reviews the role of each element in designing immunoengineered 2D biomaterials in a group‐wise manner. It recapitulates the most recent advances in immunomodulatory nanomaterials, paving the way for the development of new mono, hybrid, composite, and hetero‐structured biomaterials.

Profiling lateral gene transfer events in the human microbiome using WAAFLE.

Lateral gene transfer (LGT), also known as horizontal gene transfer, facilitates genomic diversification in microbial populations. While previous work has surveyed LGT in human-associated microbial isolate genomes, the landscape of LGT arising in personal microbiomes is not well understood, as there are no widely adopted methods to characterize LGT from complex communities. Here we developed, benchmarked and validated a computational algorithm (WAAFLE or Workflow to Annotate Assemblies and Find LGT Events) to profile LGT from assembled metagenomes. WAAFLE prioritizes specificity while maintaining high sensitivity for intergenus LGT. Applying WAAFLE to >2,000 human metagenomes from diverse body sites, we identified >100,000 high-confidence previously uncharacterized LGT (~2 per microbial genome-equivalent). These were enriched for mobile elements, as well as restriction-modification functions associated with the destruction of foreign DNA. LGT frequency was influenced by biogeography, phylogenetic similarity of involved pairs (for example, Fusobacterium periodonticum and F. nucleatum) and donor abundance. These forces manifest as networks in which hub taxa donate unequally with phylogenetic neighbours. Our findings suggest that human microbiome LGT may be more ubiquitous than previously described.

Complexity of the lichen symbiosis revealed by metagenome and transcriptome analysis of Xanthoria parietina.

Lichens are composite, symbiotic associations of fungi, algae, and bacteria that result in large, anatomically complex organisms adapted to many of the world's most challenging environments. How such intricate, self-replicating lichen architectures develop from simple microbial components remains unknown because of their recalcitrance to experimental manipulation. Here, we report a metagenomic and metatranscriptomic analysis of the lichen Xanthoria parietina at different developmental stages. We identified 168 genomes of symbionts and lichen-associated microbes across the sampled thalli, including representatives of green algae, three different classes of fungi, and 14 bacterial phyla. By analyzing the occurrence of individual species across lichen thalli from diverse environments, we defined both substrate-specific and core microbial components of the lichen. Metatranscriptomic analysis of the principal fungal symbiont from three different developmental stages of a lichen, compared with axenically grown fungus, revealed differential gene expression profiles indicative of lichen-specific transporter functions, specific cell signaling, transcriptional regulation, and secondary metabolic capacity. Putative immunity-related proteins and lichen-specific structurally conserved secreted proteins resembling fungal pathogen effectors were also identified, consistent with a role for immunity modulation in lichen morphogenesis.

Protists as mediators of complex microbial and viral associations.

Microbial eukaryotes (aka protists) are known for their important roles in nutrient cycling across different ecosystems. However, the composition and function of protist-associated microbiomes remains largely elusive. Here, we employ cultivation-independent single-cell isolation and genome-resolved metagenomics to provide detailed insights into underexplored microbiomes and viromes of over 100 currently uncultivable ciliates and amoebae isolated from diverse environments. Our findings reveal unique microbiome compositions and hint at an intricate network of complex interactions and associations with bacterial symbionts and viruses. We observed stark differences between ciliates and amoebae in terms of microbiome and virome compositions, highlighting the specificity of protist-microbe interactions. Over 115 of the recovered microbial genomes were affiliated with known endosymbionts of eukaryotes, including diverse members of the Holosporales, Rickettsiales, Legionellales, Chlamydiae, Dependentiae , and more than 250 were affiliated with possible host-associated bacteria of the phylum Patescibacteria. We also identified more than 80 giant viruses belonging to diverse viral lineages, of which some were actively expressing genes in single cell transcriptomes, suggesting a possible association with the sampled protists. We also revealed a wide range of other viruses that were predicted to infect eukaryotes or host-associated bacteria. Our results provide further evidence that protists serve as mediators of complex microbial and viral associations, playing a critical role in ecological networks. The frequent co-occurrence of giant viruses and diverse microbial symbionts in our samples suggests multipartite associations, particularly among amoebae. Our study provides a preliminary assessment of the microbial diversity associated with lesser-known protist lineages and paves the way for a deeper understanding of protist ecology and their roles in environmental and human health.

Non-Canonical Cytochrome P450 Enzymes in Nature.

Cytochrome P450s (CYPs) are a superfamily of thiolate-ligated heme metalloenzymes principally responsible for the hydroxylation of unactivated C-H bonds. The lower-axial cysteine is an obligatory and universally conserved residue for the CYP enzyme class. Herein, we challenge this paradigm by systematically identifying non-canonical CYPs (ncCYPs) that do not harbor a cysteine ligand. Our bioinformatic search reveals 20 distinct ncCYP families with diverse ligands encoded in microbial genomes. We characterize a native serine-ligated CYP with a high-spin ferric resting state. Its crystal structure clearly shows a typical CYP fold and a serine alkoxide as a lower axial heme ligand. In addition, we report the discovery and characterization of the first native selenocysteine-ligated CYP in nature. Our findings radically expand the CYP metalloenzyme family.

Dna2bit: high performance genomic distance estimation software for microbial genome analysis

dna2bit is an ultra-fast software specifically engineered for microbial genome analysis, particularly adept at calculating genome distances within metagenome and single amplified genome datasets. Distinguished from existing software such as Mash and Dashing, dna2bit employs feature hashing technique and Hamming distance to achieve enhanced speed and memory utilization, without sacrifice in the accuracy of average nucleotide identity calculations. dna2bit has promising applications in various domains such as average nucleotide identity approximation, metagenomic sequence clustering, and homology querying. dna2bit significantly boosts computational efficiency in handling large datasets including single amplified genomes, thereby facilitating a better understanding of the population heterogeneity and comparative genomics of microorganisms. dna2bit is available at https://github.com/lijuzeng/dna2bit.

Recovery of metagenome-assembled genomes from the rumen and fecal microbiomes of Bos indicus beef cattle

Nelore is a Bos indicus beef breed that is well-adapted to tropical environments and constitutes most of the world’s largest commercial cattle herd: the Brazilian bovine herd. Despite its significance, microbial genome recovery from ruminant microbiomes has largely excluded representatives from Brazilian Nelore cattle. To address this gap, this study presents a comprehensive dataset of microbial genomes recovered from the rumen and feces of 52 Brazilian Nelore bulls. A total of 1,526 non-redundant metagenome-assembled genomes (MAGs) were recovered from their gastrointestinal tract, with 497 ruminal and 486 fecal classified as high-quality. Phylogenetic analysis revealed that the bacterial MAGs fall into 12 phyla, with Firmicutes and Bacteroidota being the most predominant, while all archaeal MAGs belong to the genus Methanobrevibacter. The exploration of these microbial genomes will provide valuable insights into the metabolic potential and functional roles of individual microorganisms within host-microbiome interactions, contributing to a better understanding of the microbiome’s roles in bovine performance.