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Large Scale Genome-Centric Metagenomic Data from the Gut Microbiome of Food-Producing Animals and Humans.
Lemos, Leandro Nascimento; de Carvalho, Fabíola Marques; Santos, Fernanda Fernandes; Valiatti, Tiago Barcelos; Corsi, Dandara Cassu; de Oliveira Silveira, Alessandro Conrado; Gerber, Alexandra; Guimarães, Ana Paula C; de Oliveira Souza, Cintya; Brasiliense, Danielle Murici; Maia Castelo-Branco, Débora de Souza Collares; Anzai, Eleine Kuroki; Bessa-Neto, Francisco Ozório; de Melo, Gláucia Morgana; de Souza, Gleyce Hellen; Ferraz, Lúcio Fábio Caldas; de Nazaré Miranda Bahia, Márcia; Mattos, Márcia Soares; da Silva, Ramon Giovani Brandão; Veiga, Ruanita; Simionatto, Simone; Monteiro, Walter Aparecido Pimentel; de Oliveira Lima, William Alencar; Kiffer, Carlos Roberto Veiga; Cayô, Rodrigo; Gales, Ana Cristina; de Vasconcelos, Ana Tereza Ribeiro.
Affiliation
  • Lemos LN; Bioinformatics Laboratory, National Laboratory of Scientific Computing (LNCC), Rio de Janeiro, RJ, Brazil.
  • de Carvalho FM; Bioinformatics Laboratory, National Laboratory of Scientific Computing (LNCC), Rio de Janeiro, RJ, Brazil.
  • Santos FF; Universidade Federal de São Paulo (UNIFESP), Laboratório Alerta, Division of Infectious Diseases, Department of Internal Medicine, Escola Paulista de Medicina (EPM), São Paulo, SP, Brazil.
  • Valiatti TB; Universidade Federal de São Paulo (UNIFESP), Laboratório Alerta, Division of Infectious Diseases, Department of Internal Medicine, Escola Paulista de Medicina (EPM), São Paulo, SP, Brazil.
  • Corsi DC; Universidade Federal de São Paulo (UNIFESP), Laboratório Alerta, Division of Infectious Diseases, Department of Internal Medicine, Escola Paulista de Medicina (EPM), São Paulo, SP, Brazil.
  • de Oliveira Silveira AC; Regional University of Blumenau (FURB), Blumenau, SC, Brazil.
  • Gerber A; Bioinformatics Laboratory, National Laboratory of Scientific Computing (LNCC), Rio de Janeiro, RJ, Brazil.
  • Guimarães APC; Bioinformatics Laboratory, National Laboratory of Scientific Computing (LNCC), Rio de Janeiro, RJ, Brazil.
  • de Oliveira Souza C; Postgraduate Program in Medical Microbiology, Group of Applied Medical Microbiology, Federal University of Ceará (UFC), Fortaleza, CE, Brazil.
  • Brasiliense DM; Postgraduate Program in Medical Microbiology, Group of Applied Medical Microbiology, Federal University of Ceará (UFC), Fortaleza, CE, Brazil.
  • Maia Castelo-Branco DSC; Seção de Bacteriologia e Micologia, Instituto Evandro Chagas (IEC), Secretaria de Vigilância em Saúde (SVS), Ministério da Saúde, Ananindeua, PA, Brazil.
  • Anzai EK; Regional University of Blumenau (FURB), Blumenau, SC, Brazil.
  • Bessa-Neto FO; Universidade Federal de São Paulo (UNIFESP), Laboratório Alerta, Division of Infectious Diseases, Department of Internal Medicine, Escola Paulista de Medicina (EPM), São Paulo, SP, Brazil.
  • de Melo GM; Universidade Federal de São Paulo (UNIFESP), Laboratório de Imunologia e Bacteriologia (LIB), Setor de Biologia Molecular, Microbiologia e Imunologia, Departamento de Ciências Biológicas (DCB), Instituto de Ciências Ambientais, Químicas e Farmacêuticas (ICAQF), Diadema, SP, Brazil.
  • de Souza GH; Seção de Bacteriologia e Micologia, Instituto Evandro Chagas (IEC), Secretaria de Vigilância em Saúde (SVS), Ministério da Saúde, Ananindeua, PA, Brazil.
  • Ferraz LFC; Universidade Federal da Grande Dourados (UFGD), Laboratório de Pesquisa em Ciências da Saúde, Dourados, MS, Brazil.
  • de Nazaré Miranda Bahia M; Laboratory of Molecular Biology of Microorganisms, University São Francisco (USF), Bragança Paulista, SP, Brazil.
  • Mattos MS; Postgraduate Program in Medical Microbiology, Group of Applied Medical Microbiology, Federal University of Ceará (UFC), Fortaleza, CE, Brazil.
  • da Silva RGB; Universidade Federal da Grande Dourados (UFGD), Laboratório de Pesquisa em Ciências da Saúde, Dourados, MS, Brazil.
  • Veiga R; Universidade Federal de São Paulo (UNIFESP), Laboratório Alerta, Division of Infectious Diseases, Department of Internal Medicine, Escola Paulista de Medicina (EPM), São Paulo, SP, Brazil.
  • Simionatto S; Universidade Federal de São Paulo (UNIFESP), Laboratório Alerta, Division of Infectious Diseases, Department of Internal Medicine, Escola Paulista de Medicina (EPM), São Paulo, SP, Brazil.
  • Monteiro WAP; Universidade Federal da Grande Dourados (UFGD), Laboratório de Pesquisa em Ciências da Saúde, Dourados, MS, Brazil.
  • de Oliveira Lima WA; Laboratory of Molecular Biology of Microorganisms, University São Francisco (USF), Bragança Paulista, SP, Brazil.
  • Kiffer CRV; Postgraduate Program in Medical Microbiology, Group of Applied Medical Microbiology, Federal University of Ceará (UFC), Fortaleza, CE, Brazil.
  • Cayô R; Universidade Federal de São Paulo (UNIFESP), Laboratório Especial de Microbiologia Clínica (LEMC), Division of Infectious Diseases, Department of Internal Medicine, Escola Paulista de Medicina (EPM), São Paulo, SP, Brazil.
  • Gales AC; Universidade Federal de São Paulo (UNIFESP), Laboratório Alerta, Division of Infectious Diseases, Department of Internal Medicine, Escola Paulista de Medicina (EPM), São Paulo, SP, Brazil.
  • de Vasconcelos ATR; Universidade Federal de São Paulo (UNIFESP), Laboratório de Imunologia e Bacteriologia (LIB), Setor de Biologia Molecular, Microbiologia e Imunologia, Departamento de Ciências Biológicas (DCB), Instituto de Ciências Ambientais, Químicas e Farmacêuticas (ICAQF), Diadema, SP, Brazil.
Sci Data ; 9(1): 366, 2022 06 25.
Article in En | MEDLINE | ID: mdl-35752638
ABSTRACT
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.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Metagenome / Gastrointestinal Microbiome Limits: Animals / Humans Language: En Journal: Sci Data Year: 2022 Document type: Article Affiliation country:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Metagenome / Gastrointestinal Microbiome Limits: Animals / Humans Language: En Journal: Sci Data Year: 2022 Document type: Article Affiliation country:
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