Liliane Costa Conteville, Juliana Virginio da Silva, Bruno Gabriel Nascimento Andrade, Luiz Lehmann Coutinho, Julio Cesar Pascale Palhares, Luciana Correia de Almeida Regitano
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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.
期刊介绍：
Scientific Data is an open-access journal focused on data, publishing descriptions of research datasets and articles on data sharing across natural sciences, medicine, engineering, and social sciences. Its goal is to enhance the sharing and reuse of scientific data, encourage broader data sharing, and acknowledge those who share their data.
The journal primarily publishes Data Descriptors, which offer detailed descriptions of research datasets, including data collection methods and technical analyses validating data quality. These descriptors aim to facilitate data reuse rather than testing hypotheses or presenting new interpretations, methods, or in-depth analyses.
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