Compositional analysis of ruminal bacteria from ewes selected for somatic cell score and milk persistency.

Ruminants are dependent on their rumen microbiota to obtain energy from plants. The composition of the microbiome was well-known to be associated with health status, and production traits, but published results are difficult to reproduce due to large sources of variation. The objectives of this stud...

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Autores principales:	Guillermo Martinez Boggio, Annabelle Meynadier, Pepus Daunis-I-Estadella, Christel Marie-Etancelin
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/72554d955a184a77972bda9c9a2e0984
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spelling	oai:doaj.org-article:72554d955a184a77972bda9c9a2e09842021-12-02T20:04:51ZCompositional analysis of ruminal bacteria from ewes selected for somatic cell score and milk persistency.1932-620310.1371/journal.pone.0254874https://doaj.org/article/72554d955a184a77972bda9c9a2e09842021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0254874https://doaj.org/toc/1932-6203Ruminants are dependent on their rumen microbiota to obtain energy from plants. The composition of the microbiome was well-known to be associated with health status, and production traits, but published results are difficult to reproduce due to large sources of variation. The objectives of this study were to evaluate the associations of ruminal microbiota and its association with genetic lines selected by somatic cell score (SCS) or milk persistency (PERS), as well as milk production, somatic cell score, fat and protein contents, and fatty acids and proteins of milk, using the principles of compositional data. A large sample of 700 Lacaune dairy ewes from INRAE La Fage feeding the same diet and belonging to two divergent genetic lines selected for SCS or PERS was used. The ruminal bacterial metagenome was sequenced using the 16S rRNA gene, resulting in 2,059 operational taxonomic units affiliated with 112 genera. The abundance data were centred log-transformed after the replacement of zeros with the geometric Bayesian method. Discriminant analysis of the SCS showed differences between SCS+ and SCS- ewes, while for PERS no difference was obtained. Milk traits as fat content, protein content, saturated fatty acids and caseins of milk were negatively associated with Prevotella (R = [-0.08;-0.16]), Suttonella (R = [-0.09;-0.16]) and Ruminococcus (R = [-0.08;-0.16]), and positively associated with Lachnospiraceae (R = [0.09;0.16]) and Christensenellaceae (R = [0.09;0.16]). Our findings provide an understanding of the application of compositional data to microbiome analysis, and the potential association of Prevotella, Suttonella, Ruminococcaceae and Lachnospiraceae with milk production traits such as milk fatty acids and proteins in dairy sheep.Guillermo Martinez BoggioAnnabelle MeynadierPepus Daunis-I-EstadellaChristel Marie-EtancelinPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 7, p e0254874 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Guillermo Martinez Boggio Annabelle Meynadier Pepus Daunis-I-Estadella Christel Marie-Etancelin Compositional analysis of ruminal bacteria from ewes selected for somatic cell score and milk persistency.
description	Ruminants are dependent on their rumen microbiota to obtain energy from plants. The composition of the microbiome was well-known to be associated with health status, and production traits, but published results are difficult to reproduce due to large sources of variation. The objectives of this study were to evaluate the associations of ruminal microbiota and its association with genetic lines selected by somatic cell score (SCS) or milk persistency (PERS), as well as milk production, somatic cell score, fat and protein contents, and fatty acids and proteins of milk, using the principles of compositional data. A large sample of 700 Lacaune dairy ewes from INRAE La Fage feeding the same diet and belonging to two divergent genetic lines selected for SCS or PERS was used. The ruminal bacterial metagenome was sequenced using the 16S rRNA gene, resulting in 2,059 operational taxonomic units affiliated with 112 genera. The abundance data were centred log-transformed after the replacement of zeros with the geometric Bayesian method. Discriminant analysis of the SCS showed differences between SCS+ and SCS- ewes, while for PERS no difference was obtained. Milk traits as fat content, protein content, saturated fatty acids and caseins of milk were negatively associated with Prevotella (R = [-0.08;-0.16]), Suttonella (R = [-0.09;-0.16]) and Ruminococcus (R = [-0.08;-0.16]), and positively associated with Lachnospiraceae (R = [0.09;0.16]) and Christensenellaceae (R = [0.09;0.16]). Our findings provide an understanding of the application of compositional data to microbiome analysis, and the potential association of Prevotella, Suttonella, Ruminococcaceae and Lachnospiraceae with milk production traits such as milk fatty acids and proteins in dairy sheep.
format	article
author	Guillermo Martinez Boggio Annabelle Meynadier Pepus Daunis-I-Estadella Christel Marie-Etancelin
author_facet	Guillermo Martinez Boggio Annabelle Meynadier Pepus Daunis-I-Estadella Christel Marie-Etancelin
author_sort	Guillermo Martinez Boggio
title	Compositional analysis of ruminal bacteria from ewes selected for somatic cell score and milk persistency.
title_short	Compositional analysis of ruminal bacteria from ewes selected for somatic cell score and milk persistency.
title_full	Compositional analysis of ruminal bacteria from ewes selected for somatic cell score and milk persistency.
title_fullStr	Compositional analysis of ruminal bacteria from ewes selected for somatic cell score and milk persistency.
title_full_unstemmed	Compositional analysis of ruminal bacteria from ewes selected for somatic cell score and milk persistency.
title_sort	compositional analysis of ruminal bacteria from ewes selected for somatic cell score and milk persistency.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/72554d955a184a77972bda9c9a2e0984
work_keys_str_mv	AT guillermomartinezboggio compositionalanalysisofruminalbacteriafromewesselectedforsomaticcellscoreandmilkpersistency AT annabellemeynadier compositionalanalysisofruminalbacteriafromewesselectedforsomaticcellscoreandmilkpersistency AT pepusdaunisiestadella compositionalanalysisofruminalbacteriafromewesselectedforsomaticcellscoreandmilkpersistency AT christelmarieetancelin compositionalanalysisofruminalbacteriafromewesselectedforsomaticcellscoreandmilkpersistency
_version_	1718375549016997888

Compositional analysis of ruminal bacteria from ewes selected for somatic cell score and milk persistency.

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