Geography as non-genetic modulation factor of chicken cecal microbiota

Autores
Pin Viso, Natalia Daniela; Redondo, Enzo Alejandro; Diaz Carrasco, Juan Maria; Redondo, Leandro Martin; Sabio Y Garcia, Julia Veronica; Fernandez Miyakawa, Mariano Enrique; Farber, Marisa Diana
Año de publicación
2021
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The gastrointestinal tract of chickens harbors a highly diverse microbiota contributing not only to nutrition, but also to the physiological development of the gastrointestinal tract. Microbiota composition depends on many factors such as the portion of the intestine as well as the diet, age, genotype, or geographical origin of birds. The aim of the present study was to demonstrate the influence of the geographical location over the cecal microbiota from broilers. We used metabarcoding sequencing datasets of the 16S rRNA gene publicly available to compare the composition of the Argentine microbiota against the microbiota of broilers from another seven countries (Germany, Australia, Croatia, Slovenia, United States of America, Hungary, and Malaysia). Geographical location played a dominant role in shaping chicken gut microbiota (Adonis R2 = 0.6325, P = 0.001; Mantel statistic r = 0.1524, P = 4e-04) over any other evaluated factor. The geographical origin particularly affected the relative abundance of the families Bacteroidaceae, Lactobacillaceae, Lachnospiraceae, Ruminococcaceae, and Clostridiaceae. Because of the evident divergence of microbiota among countries we coined the term “local microbiota” as convergent feature that conflates non-genetic factors, in the perspective of human-environmental geography. Local microbiota should be taken into consideration as a native overall threshold value for further appraisals when testing the production performance and performing correlation analysis of gut microbiota modulation against different kind of diet and/or management approaches. In this regard, we described the Argentine poultry cecal microbiota by means of samples both from experimental trials and commercial farms. Likewise, we were able to identify a core microbiota composed of 65 operational taxonomic units assigned to seven phyla and 38 families, with the four most abundant taxa belonging to Bacteroides genus, Rikenellaceae family, Clostridiales order, and Ruminococcaceae family.
Instituto de Biotecnología
Fil: Pin Viso, Natalia Daniela. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Agrobiotecnología y Biología Molecular; Argentina
Fil: Pin Viso, Natalia Daniela. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Redondo, Enzo Alejandro. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Patobiología; Argentina.
Fil: Redondo, Enzo Alejandro. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Díaz Carrasco, Juan María. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Patobiología; Argentina
Fil: Díaz Carrasco, Juan María. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Redondo, Leandro Martí­n. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Patobiología; Argentina
Fil: Redondo, Leandro Martí­n. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Sabio Y Garcia, Julia Veronica. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Agrobiotecnología y Biología Molecular; Argentina
Fil: Sabio Y Garcia, Julia Veronica. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Fernandez Miyakawa, Mariano Enrique. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Patobiología; Argentina
Fil: Fernandez Miyakawa, Mariano Enrique. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Farber, Marisa Diana. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Agrobiotecnología y Biología Molecular; Argentina
Fil: Farber, Marisa Diana. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fuente
PLoS ONE 16 (1) : e0244724 (Enero 2021)
Materia
Chickens
Microbial Flora
Geographical Regions
Pollo
Flora Microbiana
Regiones Geográficas
Argentina
Non Genetic Factors
Factores no Genéticos
Microbiota
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
INTA Digital (INTA)
Institución
Instituto Nacional de Tecnología Agropecuaria
OAI Identificador
oai:localhost:20.500.12123/9091
Acceder
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oai_identifier_str oai:localhost:20.500.12123/9091
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network_name_str INTA Digital (INTA)
spelling Geography as non-genetic modulation factor of chicken cecal microbiotaPin Viso, Natalia DanielaRedondo, Enzo AlejandroDiaz Carrasco, Juan MariaRedondo, Leandro MartinSabio Y Garcia, Julia VeronicaFernandez Miyakawa, Mariano EnriqueFarber, Marisa DianaChickensMicrobial FloraGeographical RegionsPolloFlora MicrobianaRegiones GeográficasArgentinaNon Genetic FactorsFactores no GenéticosMicrobiotaThe gastrointestinal tract of chickens harbors a highly diverse microbiota contributing not only to nutrition, but also to the physiological development of the gastrointestinal tract. Microbiota composition depends on many factors such as the portion of the intestine as well as the diet, age, genotype, or geographical origin of birds. The aim of the present study was to demonstrate the influence of the geographical location over the cecal microbiota from broilers. We used metabarcoding sequencing datasets of the 16S rRNA gene publicly available to compare the composition of the Argentine microbiota against the microbiota of broilers from another seven countries (Germany, Australia, Croatia, Slovenia, United States of America, Hungary, and Malaysia). Geographical location played a dominant role in shaping chicken gut microbiota (Adonis R2 = 0.6325, P = 0.001; Mantel statistic r = 0.1524, P = 4e-04) over any other evaluated factor. The geographical origin particularly affected the relative abundance of the families Bacteroidaceae, Lactobacillaceae, Lachnospiraceae, Ruminococcaceae, and Clostridiaceae. Because of the evident divergence of microbiota among countries we coined the term “local microbiota” as convergent feature that conflates non-genetic factors, in the perspective of human-environmental geography. Local microbiota should be taken into consideration as a native overall threshold value for further appraisals when testing the production performance and performing correlation analysis of gut microbiota modulation against different kind of diet and/or management approaches. In this regard, we described the Argentine poultry cecal microbiota by means of samples both from experimental trials and commercial farms. Likewise, we were able to identify a core microbiota composed of 65 operational taxonomic units assigned to seven phyla and 38 families, with the four most abundant taxa belonging to Bacteroides genus, Rikenellaceae family, Clostridiales order, and Ruminococcaceae family.Instituto de BiotecnologíaFil: Pin Viso, Natalia Daniela. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Agrobiotecnología y Biología Molecular; ArgentinaFil: Pin Viso, Natalia Daniela. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Redondo, Enzo Alejandro. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Patobiología; Argentina.Fil: Redondo, Enzo Alejandro. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Díaz Carrasco, Juan María. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Patobiología; ArgentinaFil: Díaz Carrasco, Juan María. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Redondo, Leandro Martí­n. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Patobiología; ArgentinaFil: Redondo, Leandro Martí­n. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Sabio Y Garcia, Julia Veronica. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Agrobiotecnología y Biología Molecular; ArgentinaFil: Sabio Y Garcia, Julia Veronica. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Fernandez Miyakawa, Mariano Enrique. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Patobiología; ArgentinaFil: Fernandez Miyakawa, Mariano Enrique. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Farber, Marisa Diana. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Agrobiotecnología y Biología Molecular; ArgentinaFil: Farber, Marisa Diana. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaPublic Library of Science2021-04-14T17:46:43Z2021-04-14T17:46:43Z2021-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/9091https://journals.plos.org/plosone/article?id=10.1371/journal.pone.02447241932-6203https://doi.org/10.1371/journal.pone.0244724PLoS ONE 16 (1) : e0244724 (Enero 2021)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaenginfo:eu-repograntAgreement/INTA/PNBIO-1131043/AR./Bioinformática y Estadística Genómica.info:eu-repograntAgreement/INTA/PNSA-1115056/AR./Enfermedades infecciosas de las aves.info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)2025-10-23T11:17:33Zoai:localhost:20.500.12123/9091instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-10-23 11:17:34.185INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse
dc.title.none.fl_str_mv Geography as non-genetic modulation factor of chicken cecal microbiota
title Geography as non-genetic modulation factor of chicken cecal microbiota
spellingShingle Geography as non-genetic modulation factor of chicken cecal microbiota
Pin Viso, Natalia Daniela
Chickens
Microbial Flora
Geographical Regions
Pollo
Flora Microbiana
Regiones Geográficas
Argentina
Non Genetic Factors
Factores no Genéticos
Microbiota
title_short Geography as non-genetic modulation factor of chicken cecal microbiota
title_full Geography as non-genetic modulation factor of chicken cecal microbiota
title_fullStr Geography as non-genetic modulation factor of chicken cecal microbiota
title_full_unstemmed Geography as non-genetic modulation factor of chicken cecal microbiota
title_sort Geography as non-genetic modulation factor of chicken cecal microbiota
dc.creator.none.fl_str_mv Pin Viso, Natalia Daniela
Redondo, Enzo Alejandro
Diaz Carrasco, Juan Maria
Redondo, Leandro Martin
Sabio Y Garcia, Julia Veronica
Fernandez Miyakawa, Mariano Enrique
Farber, Marisa Diana
author Pin Viso, Natalia Daniela
author_facet Pin Viso, Natalia Daniela
Redondo, Enzo Alejandro
Diaz Carrasco, Juan Maria
Redondo, Leandro Martin
Sabio Y Garcia, Julia Veronica
Fernandez Miyakawa, Mariano Enrique
Farber, Marisa Diana
author_role author
author2 Redondo, Enzo Alejandro
Diaz Carrasco, Juan Maria
Redondo, Leandro Martin
Sabio Y Garcia, Julia Veronica
Fernandez Miyakawa, Mariano Enrique
Farber, Marisa Diana
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv Chickens
Microbial Flora
Geographical Regions
Pollo
Flora Microbiana
Regiones Geográficas
Argentina
Non Genetic Factors
Factores no Genéticos
Microbiota
topic Chickens
Microbial Flora
Geographical Regions
Pollo
Flora Microbiana
Regiones Geográficas
Argentina
Non Genetic Factors
Factores no Genéticos
Microbiota
dc.description.none.fl_txt_mv The gastrointestinal tract of chickens harbors a highly diverse microbiota contributing not only to nutrition, but also to the physiological development of the gastrointestinal tract. Microbiota composition depends on many factors such as the portion of the intestine as well as the diet, age, genotype, or geographical origin of birds. The aim of the present study was to demonstrate the influence of the geographical location over the cecal microbiota from broilers. We used metabarcoding sequencing datasets of the 16S rRNA gene publicly available to compare the composition of the Argentine microbiota against the microbiota of broilers from another seven countries (Germany, Australia, Croatia, Slovenia, United States of America, Hungary, and Malaysia). Geographical location played a dominant role in shaping chicken gut microbiota (Adonis R2 = 0.6325, P = 0.001; Mantel statistic r = 0.1524, P = 4e-04) over any other evaluated factor. The geographical origin particularly affected the relative abundance of the families Bacteroidaceae, Lactobacillaceae, Lachnospiraceae, Ruminococcaceae, and Clostridiaceae. Because of the evident divergence of microbiota among countries we coined the term “local microbiota” as convergent feature that conflates non-genetic factors, in the perspective of human-environmental geography. Local microbiota should be taken into consideration as a native overall threshold value for further appraisals when testing the production performance and performing correlation analysis of gut microbiota modulation against different kind of diet and/or management approaches. In this regard, we described the Argentine poultry cecal microbiota by means of samples both from experimental trials and commercial farms. Likewise, we were able to identify a core microbiota composed of 65 operational taxonomic units assigned to seven phyla and 38 families, with the four most abundant taxa belonging to Bacteroides genus, Rikenellaceae family, Clostridiales order, and Ruminococcaceae family.
Instituto de Biotecnología
Fil: Pin Viso, Natalia Daniela. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Agrobiotecnología y Biología Molecular; Argentina
Fil: Pin Viso, Natalia Daniela. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Redondo, Enzo Alejandro. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Patobiología; Argentina.
Fil: Redondo, Enzo Alejandro. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Díaz Carrasco, Juan María. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Patobiología; Argentina
Fil: Díaz Carrasco, Juan María. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Redondo, Leandro Martí­n. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Patobiología; Argentina
Fil: Redondo, Leandro Martí­n. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Sabio Y Garcia, Julia Veronica. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Agrobiotecnología y Biología Molecular; Argentina
Fil: Sabio Y Garcia, Julia Veronica. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Fernandez Miyakawa, Mariano Enrique. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Patobiología; Argentina
Fil: Fernandez Miyakawa, Mariano Enrique. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Farber, Marisa Diana. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Agrobiotecnología y Biología Molecular; Argentina
Fil: Farber, Marisa Diana. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
description The gastrointestinal tract of chickens harbors a highly diverse microbiota contributing not only to nutrition, but also to the physiological development of the gastrointestinal tract. Microbiota composition depends on many factors such as the portion of the intestine as well as the diet, age, genotype, or geographical origin of birds. The aim of the present study was to demonstrate the influence of the geographical location over the cecal microbiota from broilers. We used metabarcoding sequencing datasets of the 16S rRNA gene publicly available to compare the composition of the Argentine microbiota against the microbiota of broilers from another seven countries (Germany, Australia, Croatia, Slovenia, United States of America, Hungary, and Malaysia). Geographical location played a dominant role in shaping chicken gut microbiota (Adonis R2 = 0.6325, P = 0.001; Mantel statistic r = 0.1524, P = 4e-04) over any other evaluated factor. The geographical origin particularly affected the relative abundance of the families Bacteroidaceae, Lactobacillaceae, Lachnospiraceae, Ruminococcaceae, and Clostridiaceae. Because of the evident divergence of microbiota among countries we coined the term “local microbiota” as convergent feature that conflates non-genetic factors, in the perspective of human-environmental geography. Local microbiota should be taken into consideration as a native overall threshold value for further appraisals when testing the production performance and performing correlation analysis of gut microbiota modulation against different kind of diet and/or management approaches. In this regard, we described the Argentine poultry cecal microbiota by means of samples both from experimental trials and commercial farms. Likewise, we were able to identify a core microbiota composed of 65 operational taxonomic units assigned to seven phyla and 38 families, with the four most abundant taxa belonging to Bacteroides genus, Rikenellaceae family, Clostridiales order, and Ruminococcaceae family.
publishDate 2021
dc.date.none.fl_str_mv 2021-04-14T17:46:43Z
2021-04-14T17:46:43Z
2021-01
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/20.500.12123/9091
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0244724
1932-6203
https://doi.org/10.1371/journal.pone.0244724
url http://hdl.handle.net/20.500.12123/9091
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0244724
https://doi.org/10.1371/journal.pone.0244724
identifier_str_mv 1932-6203
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repograntAgreement/INTA/PNBIO-1131043/AR./Bioinformática y Estadística Genómica.
info:eu-repograntAgreement/INTA/PNSA-1115056/AR./Enfermedades infecciosas de las aves.
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Public Library of Science
publisher.none.fl_str_mv Public Library of Science
dc.source.none.fl_str_mv PLoS ONE 16 (1) : e0244724 (Enero 2021)
reponame:INTA Digital (INTA)
instname:Instituto Nacional de Tecnología Agropecuaria
reponame_str INTA Digital (INTA)
collection INTA Digital (INTA)
instname_str Instituto Nacional de Tecnología Agropecuaria
repository.name.fl_str_mv INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuaria
repository.mail.fl_str_mv tripaldi.nicolas@inta.gob.ar
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