The value of gut microbiota to predict feed efficiency and growth of rabbits under different feeding regimes

Abstract Gut microbiota plays an important role in nutrient absorption and could impact rabbit feed efficiency. This study aims at investigating such impact by evaluating the value added by microbial information for predicting individual growth and cage phenotypes related to feed efficiency. The dat...

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Autores principales:	María Velasco-Galilea, Miriam Piles, Yuliaxis Ramayo-Caldas, Juan P. Sánchez
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/1675111c27154f21be12a8ed75dbd9e2
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spelling	oai:doaj.org-article:1675111c27154f21be12a8ed75dbd9e22021-12-02T18:51:08ZThe value of gut microbiota to predict feed efficiency and growth of rabbits under different feeding regimes10.1038/s41598-021-99028-y2045-2322https://doaj.org/article/1675111c27154f21be12a8ed75dbd9e22021-09-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-99028-yhttps://doaj.org/toc/2045-2322Abstract Gut microbiota plays an important role in nutrient absorption and could impact rabbit feed efficiency. This study aims at investigating such impact by evaluating the value added by microbial information for predicting individual growth and cage phenotypes related to feed efficiency. The dataset comprised individual average daily gain and cage-average daily feed intake from 425 meat rabbits, in which cecal microbiota was assessed, and their cage mates. Despite microbiota was not measured in all animals, consideration of pedigree relationships with mixed models allowed the study of cage-average traits. The inclusion of microbial information into certain mixed models increased their predictive ability up to 20% and 46% for cage-average feed efficiency and individual growth traits, respectively. These gains were associated with large microbiability estimates and with reductions in the heritability estimates. However, large microbiabililty estimates were also obtained with certain models but without any improvement in their predictive ability. A large proportion of OTUs seems to be responsible for the prediction improvement in growth and feed efficiency traits, although specific OTUs taxonomically assigned to 5 different phyla have a higher weight. Rabbit growth and feed efficiency are influenced by host cecal microbiota, thus considering microbial information in models improves the prediction of these complex phenotypes.María Velasco-GalileaMiriam PilesYuliaxis Ramayo-CaldasJuan P. SánchezNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-18 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q María Velasco-Galilea Miriam Piles Yuliaxis Ramayo-Caldas Juan P. Sánchez The value of gut microbiota to predict feed efficiency and growth of rabbits under different feeding regimes
description	Abstract Gut microbiota plays an important role in nutrient absorption and could impact rabbit feed efficiency. This study aims at investigating such impact by evaluating the value added by microbial information for predicting individual growth and cage phenotypes related to feed efficiency. The dataset comprised individual average daily gain and cage-average daily feed intake from 425 meat rabbits, in which cecal microbiota was assessed, and their cage mates. Despite microbiota was not measured in all animals, consideration of pedigree relationships with mixed models allowed the study of cage-average traits. The inclusion of microbial information into certain mixed models increased their predictive ability up to 20% and 46% for cage-average feed efficiency and individual growth traits, respectively. These gains were associated with large microbiability estimates and with reductions in the heritability estimates. However, large microbiabililty estimates were also obtained with certain models but without any improvement in their predictive ability. A large proportion of OTUs seems to be responsible for the prediction improvement in growth and feed efficiency traits, although specific OTUs taxonomically assigned to 5 different phyla have a higher weight. Rabbit growth and feed efficiency are influenced by host cecal microbiota, thus considering microbial information in models improves the prediction of these complex phenotypes.
format	article
author	María Velasco-Galilea Miriam Piles Yuliaxis Ramayo-Caldas Juan P. Sánchez
author_facet	María Velasco-Galilea Miriam Piles Yuliaxis Ramayo-Caldas Juan P. Sánchez
author_sort	María Velasco-Galilea
title	The value of gut microbiota to predict feed efficiency and growth of rabbits under different feeding regimes
title_short	The value of gut microbiota to predict feed efficiency and growth of rabbits under different feeding regimes
title_full	The value of gut microbiota to predict feed efficiency and growth of rabbits under different feeding regimes
title_fullStr	The value of gut microbiota to predict feed efficiency and growth of rabbits under different feeding regimes
title_full_unstemmed	The value of gut microbiota to predict feed efficiency and growth of rabbits under different feeding regimes
title_sort	value of gut microbiota to predict feed efficiency and growth of rabbits under different feeding regimes
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/1675111c27154f21be12a8ed75dbd9e2
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The value of gut microbiota to predict feed efficiency and growth of rabbits under different feeding regimes

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