Geography as non-genetic modulation factor of chicken cecal microbiota
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, genoty...
| Main Authors: | , , , , , , |
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| Format: | Artículo |
| Language: | Inglés |
| Published: |
Public Library of Science
2021
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| Subjects: | |
| Online Access: | 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 |
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| author | 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_browse | Diaz Carrasco, Juan Maria Farber, Marisa Diana Fernandez Miyakawa, Mariano Enrique Pin Viso, Natalia Daniela Redondo, Enzo Alejandro Redondo, Leandro Martin Sabio Y Garcia, Julia Veronica |
| 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_sort | Pin Viso, Natalia Daniela |
| collection | INTA Digital |
| 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. |
| format | Artículo |
| id | INTA9091 |
| institution | Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina) |
| language | Inglés |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | Public Library of Science |
| publisherStr | Public Library of Science |
| record_format | dspace |
| spelling | INTA90912021-04-14T17:54:08Z Geography as non-genetic modulation factor of chicken cecal microbiota 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 Chickens Microbial Flora Geographical Regions Pollo Flora Microbiana Regiones Geográficas Argentina Non Genetic Factors Factores no Genéticos Microbiota 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 2021-04-14T17:46:43Z 2021-04-14T17:46:43Z 2021-01 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 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 eng info: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/openAccess http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) application/pdf Public Library of Science PLoS ONE 16 (1) : e0244724 (Enero 2021) |
| spellingShingle | Chickens Microbial Flora Geographical Regions Pollo Flora Microbiana Regiones Geográficas Argentina Non Genetic Factors Factores no Genéticos Microbiota 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 Geography as non-genetic modulation factor of chicken cecal microbiota |
| title | 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_short | Geography as non-genetic modulation factor of chicken cecal microbiota |
| title_sort | geography as non genetic modulation factor of chicken cecal microbiota |
| topic | Chickens Microbial Flora Geographical Regions Pollo Flora Microbiana Regiones Geográficas Argentina Non Genetic Factors Factores no Genéticos Microbiota |
| 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 |
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