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

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 publi...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9233704/
https://www.ncbi.nlm.nih.gov/pubmed/35752638
http://dx.doi.org/10.1038/s41597-022-01465-5
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author 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
author_facet 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
author_sort Lemos, Leandro Nascimento
collection PubMed
description 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.
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spelling pubmed-92337042022-06-27 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 Sci Data Data Descriptor 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. Nature Publishing Group UK 2022-06-25 /pmc/articles/PMC9233704/ /pubmed/35752638 http://dx.doi.org/10.1038/s41597-022-01465-5 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Data Descriptor
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
Large Scale Genome-Centric Metagenomic Data from the Gut Microbiome of Food-Producing Animals and Humans
title Large Scale Genome-Centric Metagenomic Data from the Gut Microbiome of Food-Producing Animals and Humans
title_full Large Scale Genome-Centric Metagenomic Data from the Gut Microbiome of Food-Producing Animals and Humans
title_fullStr Large Scale Genome-Centric Metagenomic Data from the Gut Microbiome of Food-Producing Animals and Humans
title_full_unstemmed Large Scale Genome-Centric Metagenomic Data from the Gut Microbiome of Food-Producing Animals and Humans
title_short Large Scale Genome-Centric Metagenomic Data from the Gut Microbiome of Food-Producing Animals and Humans
title_sort large scale genome-centric metagenomic data from the gut microbiome of food-producing animals and humans
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9233704/
https://www.ncbi.nlm.nih.gov/pubmed/35752638
http://dx.doi.org/10.1038/s41597-022-01465-5
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