The Gut Microbial Architecture of Efficiency Traits in the Domestic Poultry Model Species Japanese Quail (


Journal

G3 (Bethesda, Md.)
ISSN: 2160-1836
Titre abrégé: G3 (Bethesda)
Pays: England
ID NLM: 101566598

Informations de publication

Date de publication:
07 07 2020
Historique:
pubmed: 31 5 2020
medline: 22 6 2021
entrez: 31 5 2020
Statut: epublish

Résumé

It is well known that mammals and avian gut microbiota compositions are shaped by the host genomes and affect quantitative traits. The microbial architecture describes the impact of the microbiota composition on quantitative trait variation and the number and effect distribution of microbiota features. In the present study the gut microbial architecture of feed-related traits phosphorus and calcium utilization, daily gain, feed intake and feed per gain ratio in the domestic poultry model species Japanese quail were assessed by mixed linear models. The ileum microbiota composition was characterized by 16S rRNA amplicon sequencing techniques of growing individuals. The microbiability of the traits was on a similar level as the narrow sense heritability and was highly significant except for calcium utilization. The animal microbial correlation of the traits was substantial. Microbiome-wide association analyses revealed several traits associated and highly significant microbiota features, both on the bacteria genera as well as on the operational taxonomic unit level. Most features were significant for more than one trait, which explained the high microbial correlations. It can be concluded that the traits are polymicrobial determined with some microbiota features with larger effects and many with small effects. The results are important for the development of hologenomic selection schemes for feed-related traits in avian breeding programs that are targeting the host genome and the metagenome simultaneously.

Identifiants

pubmed: 32471941
pii: g3.120.401424
doi: 10.1534/g3.120.401424
pmc: PMC7341145
doi:

Substances chimiques

RNA, Ribosomal, 16S 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

2553-2562

Informations de copyright

Copyright © 2020 Vollmar et al.

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Auteurs

Solveig Vollmar (S)

Institute of Animal Science, University of Hohenheim, Stuttgart, Germany.

Robin Wellmann (R)

Institute of Animal Science, University of Hohenheim, Stuttgart, Germany.

Daniel Borda-Molina (D)

Institute of Animal Science, University of Hohenheim, Stuttgart, Germany.

Markus Rodehutscord (M)

Institute of Animal Science, University of Hohenheim, Stuttgart, Germany.

Amélia Camarinha-Silva (A)

Institute of Animal Science, University of Hohenheim, Stuttgart, Germany.

Jörn Bennewitz (J)

Institute of Animal Science, University of Hohenheim, Stuttgart, Germany j.bennewitz@uni-hohenheim.de.

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Classifications MeSH