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A large database linking the rumen bacterial composition and milk traits in Lacaune sheep

Ruminants are able to produce food for human consumption from plants, thanks to rumen bacteria. Bacteria are able to transform feed to microbial proteins and to biohydrogenate unsaturated fatty acids, contributing directly to fine milk composition. The database consists of daily records of milk yiel...

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Autores principales: Martinez Boggio, Guillermo, Marie-Etancelin, Christel, Menras, Jean-Marie, Tomas, Regis, Chemit, Marie-Luce, Gabinaud, Béatrice, Pascal, Géraldine, Meynadier, Annabelle
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9825406/
https://www.ncbi.nlm.nih.gov/pubmed/36611050
http://dx.doi.org/10.1038/s41597-022-01912-3
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author Martinez Boggio, Guillermo
Marie-Etancelin, Christel
Menras, Jean-Marie
Tomas, Regis
Chemit, Marie-Luce
Gabinaud, Béatrice
Pascal, Géraldine
Meynadier, Annabelle
author_facet Martinez Boggio, Guillermo
Marie-Etancelin, Christel
Menras, Jean-Marie
Tomas, Regis
Chemit, Marie-Luce
Gabinaud, Béatrice
Pascal, Géraldine
Meynadier, Annabelle
author_sort Martinez Boggio, Guillermo
collection PubMed
description Ruminants are able to produce food for human consumption from plants, thanks to rumen bacteria. Bacteria are able to transform feed to microbial proteins and to biohydrogenate unsaturated fatty acids, contributing directly to fine milk composition. The database consists of daily records of milk yield, somatic cell score and 17 milk components such as fatty acids and proteins from 795 Lacaune dairy ewes. Ruminal samples were extracted from ewes using a gastric tube and sequenced to determine the bacterial composition by metabarcoding 16S rRNA gene on a next-generation sequencing platform. From bioinformatics analysis, 9,536,442 sequences were retained and re-grouped into 2,059 affiliated OTUs, represented by 751 to 168,617 sequences. Overall, 2,059 OTUs from 795 samples were attributed to 11 phyla. The most representative phyla were Bacteroidota (50.6%) and Firmicutes (43.6%), and the most abundant families were Prevotellaceae (37.9%), Lachnospiraceae (18.1%), Ruminococcaceae (8.97%). Both shared datasets will be useful for researchers to study the link between rumen bacteria and milk traits and to propose solutions to improve animal production and health.
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spelling pubmed-98254062023-01-09 A large database linking the rumen bacterial composition and milk traits in Lacaune sheep Martinez Boggio, Guillermo Marie-Etancelin, Christel Menras, Jean-Marie Tomas, Regis Chemit, Marie-Luce Gabinaud, Béatrice Pascal, Géraldine Meynadier, Annabelle Sci Data Data Descriptor Ruminants are able to produce food for human consumption from plants, thanks to rumen bacteria. Bacteria are able to transform feed to microbial proteins and to biohydrogenate unsaturated fatty acids, contributing directly to fine milk composition. The database consists of daily records of milk yield, somatic cell score and 17 milk components such as fatty acids and proteins from 795 Lacaune dairy ewes. Ruminal samples were extracted from ewes using a gastric tube and sequenced to determine the bacterial composition by metabarcoding 16S rRNA gene on a next-generation sequencing platform. From bioinformatics analysis, 9,536,442 sequences were retained and re-grouped into 2,059 affiliated OTUs, represented by 751 to 168,617 sequences. Overall, 2,059 OTUs from 795 samples were attributed to 11 phyla. The most representative phyla were Bacteroidota (50.6%) and Firmicutes (43.6%), and the most abundant families were Prevotellaceae (37.9%), Lachnospiraceae (18.1%), Ruminococcaceae (8.97%). Both shared datasets will be useful for researchers to study the link between rumen bacteria and milk traits and to propose solutions to improve animal production and health. Nature Publishing Group UK 2023-01-07 /pmc/articles/PMC9825406/ /pubmed/36611050 http://dx.doi.org/10.1038/s41597-022-01912-3 Text en © The Author(s) 2023 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
Martinez Boggio, Guillermo
Marie-Etancelin, Christel
Menras, Jean-Marie
Tomas, Regis
Chemit, Marie-Luce
Gabinaud, Béatrice
Pascal, Géraldine
Meynadier, Annabelle
A large database linking the rumen bacterial composition and milk traits in Lacaune sheep
title A large database linking the rumen bacterial composition and milk traits in Lacaune sheep
title_full A large database linking the rumen bacterial composition and milk traits in Lacaune sheep
title_fullStr A large database linking the rumen bacterial composition and milk traits in Lacaune sheep
title_full_unstemmed A large database linking the rumen bacterial composition and milk traits in Lacaune sheep
title_short A large database linking the rumen bacterial composition and milk traits in Lacaune sheep
title_sort large database linking the rumen bacterial composition and milk traits in lacaune sheep
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9825406/
https://www.ncbi.nlm.nih.gov/pubmed/36611050
http://dx.doi.org/10.1038/s41597-022-01912-3
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