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Resumen
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
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dc.contributor.author | Pin Viso, Natalia Daniela | |
dc.contributor.author | Redondo, Enzo Alejandro | |
dc.contributor.author | Diaz Carrasco, Juan Maria | |
dc.contributor.author | Redondo, Leandro Martin | |
dc.contributor.author | Sabio Y Garcia, Julia Veronica | |
dc.contributor.author | Fernandez Miyakawa, Mariano Enrique | |
dc.contributor.author | Farber, Marisa Diana | |
dc.date.accessioned | 2021-04-14T17:46:43Z | |
dc.date.available | 2021-04-14T17:46:43Z | |
dc.date.issued | 2021-01 | |
dc.identifier.issn | 1932-6203 | |
dc.identifier.other | https://doi.org/10.1371/journal.pone.0244724 | |
dc.identifier.uri | http://hdl.handle.net/20.500.12123/9091 | |
dc.identifier.uri | https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0244724 | |
dc.description.abstract | 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. | eng |
dc.format | application/pdf | es_AR |
dc.language.iso | eng | es_AR |
dc.publisher | Public Library of Science | es_AR |
dc.relation | info:eu-repograntAgreement/INTA/PNBIO-1131043/AR./Bioinformática y Estadística Genómica. | es_AR |
dc.relation | info:eu-repograntAgreement/INTA/PNSA-1115056/AR./Enfermedades infecciosas de las aves. | es_AR |
dc.rights | info:eu-repo/semantics/openAccess | es_AR |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0/ | |
dc.source | PLoS ONE 16 (1) : e0244724 (Enero 2021) | es_AR |
dc.subject | Chickens | eng |
dc.subject | Pollo | es_AR |
dc.subject | Microbial Flora | eng |
dc.subject | Flora Microbiana | es_AR |
dc.subject | Geographical Regions | eng |
dc.subject | Regiones Geográficas | es_AR |
dc.subject | Argentina | es_AR |
dc.subject.other | Non Genetic Factors | eng |
dc.subject.other | Factores no Genéticos | es_AR |
dc.subject.other | Microbiota | es_AR |
dc.title | Geography as non-genetic modulation factor of chicken cecal microbiota | es_AR |
dc.type | info:ar-repo/semantics/artículo | es_AR |
dc.type | info:eu-repo/semantics/article | es_AR |
dc.type | info:eu-repo/semantics/publishedVersion | es_AR |
dc.rights.license | Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) | |
dc.description.origen | Instituto de Biotecnología | es_AR |
dc.description.fil | Fil: Pin Viso, Natalia Daniela. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Agrobiotecnología y Biología Molecular; Argentina | es_AR |
dc.description.fil | Fil: Pin Viso, Natalia Daniela. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina | es_AR |
dc.description.fil | Fil: Redondo, Enzo Alejandro. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Patobiología; Argentina. | es_AR |
dc.description.fil | Fil: Redondo, Enzo Alejandro. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina | es_AR |
dc.description.fil | Fil: Díaz Carrasco, Juan María. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Patobiología; Argentina | es_AR |
dc.description.fil | Fil: Díaz Carrasco, Juan María. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina | es_AR |
dc.description.fil | Fil: Redondo, Leandro Martín. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Patobiología; Argentina | es_AR |
dc.description.fil | Fil: Redondo, Leandro Martín. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina | es_AR |
dc.description.fil | Fil: Sabio Y Garcia, Julia Veronica. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Agrobiotecnología y Biología Molecular; Argentina | es_AR |
dc.description.fil | Fil: Sabio Y Garcia, Julia Veronica. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina | es_AR |
dc.description.fil | Fil: Fernandez Miyakawa, Mariano Enrique. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Patobiología; Argentina | es_AR |
dc.description.fil | Fil: Fernandez Miyakawa, Mariano Enrique. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina | es_AR |
dc.description.fil | Fil: Farber, Marisa Diana. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Agrobiotecnología y Biología Molecular; Argentina | es_AR |
dc.description.fil | Fil: Farber, Marisa Diana. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina | es_AR |
dc.subtype | cientifico |
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