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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 [ver mas...]
dc.contributor.authorPin Viso, Natalia Daniela
dc.contributor.authorRedondo, Enzo Alejandro
dc.contributor.authorDiaz Carrasco, Juan Maria
dc.contributor.authorRedondo, Leandro Martin
dc.contributor.authorSabio Y Garcia, Julia Veronica
dc.contributor.authorFernandez Miyakawa, Mariano Enrique
dc.contributor.authorFarber, Marisa Diana
dc.date.accessioned2021-04-14T17:46:43Z
dc.date.available2021-04-14T17:46:43Z
dc.date.issued2021-01
dc.identifier.issn1932-6203
dc.identifier.otherhttps://doi.org/10.1371/journal.pone.0244724
dc.identifier.urihttp://hdl.handle.net/20.500.12123/9091
dc.identifier.urihttps://journals.plos.org/plosone/article?id=10.1371/journal.pone.0244724
dc.description.abstractThe 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.formatapplication/pdfes_AR
dc.language.isoenges_AR
dc.publisherPublic Library of Sciencees_AR
dc.relationinfo:eu-repograntAgreement/INTA/PNBIO-1131043/AR./Bioinformática y Estadística Genómica.es_AR
dc.relationinfo:eu-repograntAgreement/INTA/PNSA-1115056/AR./Enfermedades infecciosas de las aves.es_AR
dc.rightsinfo:eu-repo/semantics/openAccesses_AR
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/
dc.sourcePLoS ONE 16 (1) : e0244724 (Enero 2021)es_AR
dc.subjectChickenseng
dc.subjectPolloes_AR
dc.subjectMicrobial Floraeng
dc.subjectFlora Microbianaes_AR
dc.subjectGeographical Regionseng
dc.subjectRegiones Geográficases_AR
dc.subjectArgentinaes_AR
dc.subject.otherNon Genetic Factorseng
dc.subject.otherFactores no Genéticoses_AR
dc.subject.otherMicrobiotaes_AR
dc.titleGeography as non-genetic modulation factor of chicken cecal microbiotaes_AR
dc.typeinfo:ar-repo/semantics/artículoes_AR
dc.typeinfo:eu-repo/semantics/articlees_AR
dc.typeinfo:eu-repo/semantics/publishedVersiones_AR
dc.rights.licenseCreative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.description.origenInstituto de Biotecnologíaes_AR
dc.description.filFil: Pin Viso, Natalia Daniela. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Agrobiotecnología y Biología Molecular; Argentinaes_AR
dc.description.filFil: Pin Viso, Natalia Daniela. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentinaes_AR
dc.description.filFil: Redondo, Enzo Alejandro. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Patobiología; Argentina.es_AR
dc.description.filFil: Redondo, Enzo Alejandro. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentinaes_AR
dc.description.filFil: Díaz Carrasco, Juan María. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Patobiología; Argentinaes_AR
dc.description.filFil: Díaz Carrasco, Juan María. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentinaes_AR
dc.description.filFil: Redondo, Leandro Martí­n. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Patobiología; Argentinaes_AR
dc.description.filFil: Redondo, Leandro Martí­n. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentinaes_AR
dc.description.filFil: Sabio Y Garcia, Julia Veronica. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Agrobiotecnología y Biología Molecular; Argentinaes_AR
dc.description.filFil: Sabio Y Garcia, Julia Veronica. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentinaes_AR
dc.description.filFil: Fernandez Miyakawa, Mariano Enrique. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Patobiología; Argentinaes_AR
dc.description.filFil: Fernandez Miyakawa, Mariano Enrique. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentinaes_AR
dc.description.filFil: Farber, Marisa Diana. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Agrobiotecnología y Biología Molecular; Argentinaes_AR
dc.description.filFil: Farber, Marisa Diana. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentinaes_AR
dc.subtypecientifico


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