Large Scale Genome-Centric Metagenomic Data from the Gut Microbiome of Food-Producing Animals and Humans

Autor: Leandro Nascimento Lemos, Fabíola Marques de Carvalho, Fernanda Fernandes Santos, Tiago Barcelos Valiatti, Dandara Cassu Corsi, Alessandro Conrado de Oliveira Silveira, Alexandra Gerber, Ana Paula C. Guimarães, Cintya de Oliveira Souza, Danielle Murici Brasiliense, Débora de Souza Collares Maia Castelo-Branco, Eleine Kuroki Anzai, Francisco Ozório Bessa-Neto, Gláucia Morgana de Melo, Gleyce Hellen de Souza, Lúcio Fábio Caldas Ferraz, Márcia de Nazaré Miranda Bahia, Márcia Soares Mattos, Ramon Giovani Brandão da Silva, Ruanita Veiga, Simone Simionatto, Walter Aparecido Pimentel Monteiro, William Alencar de Oliveira Lima, Carlos Roberto Veiga Kiffer, Rodrigo Cayô, Ana Cristina Gales, Ana Tereza Ribeiro de Vasconcelos
Rok vydání: 2021
Předmět:
Zdroj: Scientific data. 9(1)
ISSN: 2052-4463
Popis: The One Health concept is a global strategy to study the relationship between human and animal health and the transfer of pathogenic and non-pathogenic species between these systems. However, to the best of our knowledge, no data based on One Health genome-centric metagenomics are available in public repositories. Here, we present a dataset based on a pilot-study of 2,915 metagenome-assembled genomes (MAGs) of 107 samples from the human (N = 34), cattle (N = 28), swine (N = 15) and poultry (N = 30) gut microbiomes. Samples were collected from the five Brazilian geographical regions. Of the draft genomes, 1,273 were high-quality drafts (≥90% of completeness and ≤5% of contamination), and 1,642 were medium-quality drafts (≥50% of completeness and ≤10% of contamination). Taxonomic predictions were based on the alignment and concatenation of single-marker genes, and the most representative phyla were Bacteroidota, Firmicutes, and Proteobacteria. Many of these species represent potential pathogens that have already been described or potential new families, genera, and species with potential biotechnological applications. Analyses of this dataset will highlight discoveries about the ecology and functional role of pathogens and uncultivated Archaea and Bacteria from food-producing animals and humans. Furthermore, it also represents an opportunity to describe new species from underrepresented taxonomic groups.
Databáze: OpenAIRE