Genomic analysis of perinatal sucking reflex in German Brown Swiss calves.


Journal

Journal of dairy science
ISSN: 1525-3198
Titre abrégé: J Dairy Sci
Pays: United States
ID NLM: 2985126R

Informations de publication

Date de publication:
Jul 2019
Historique:
received: 13 02 2019
accepted: 12 03 2019
pubmed: 6 5 2019
medline: 5 9 2019
entrez: 7 5 2019
Statut: ppublish

Résumé

A healthy sucking reflex is essential for newborn calves to ensure sufficient colostrum intake in the first few hours postpartum. In recent decades, European Brown Swiss breeders have repeatedly reported that some calves lack the ability to consume colostrum directly after birth due to an absent sucking reflex. In this study, we collected the phenotypes of more than 5,500 German Brown Swiss calves and performed variance component estimation with sire threshold models using Markov chain Monte Carlo algorithms. The 50K (777K) genotypes of nearly 2,000 (200) calves were collected, and an imputation was performed for all 50K genotypes up to 777K. Genome-wide association studies (GWAS) for the trait sucking reflex were conducted for all 777K genotypes. Depending on the trait coding, a low heritability was estimated to range from 0.08 to 0.11. The GWAS results identified 34 trait-associated SNP on 6 different chromosomes. Post-GWAS analyses showed significant overrepresentation of Gene Ontologies for central nervous development and several regulative processes. Functional annotation clustering and pathway analysis revealed relations to lipid metabolism, immune and endocrine systems, and signal transduction. The results of this study suggest that breeding for an improved sucking reflex is possible but requires large data sets for the estimation of reliable breeding values (either large progeny testing groups or a large reference genome in a genomic selection program).

Identifiants

pubmed: 31056319
pii: S0022-0302(19)30412-6
doi: 10.3168/jds.2019-16487
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

6296-6305

Informations de copyright

Copyright © 2019 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

Auteurs

C Dreher (C)

Institute of Animal Science, University of Hohenheim, 70599 Stuttgart, Germany.

R Wellmann (R)

Institute of Animal Science, University of Hohenheim, 70599 Stuttgart, Germany.

P Stratz (P)

Institute of Animal Science, University of Hohenheim, 70599 Stuttgart, Germany.

M Schmid (M)

Institute of Animal Science, University of Hohenheim, 70599 Stuttgart, Germany.

S Preuß (S)

Institute of Animal Science, University of Hohenheim, 70599 Stuttgart, Germany.

H Hamann (H)

State Office for Spatial Information and Land Development Baden-Wuerttemberg (LGL), 70806 Kornwestheim, Germany.

J Bennewitz (J)

Institute of Animal Science, University of Hohenheim, 70599 Stuttgart, Germany. Electronic address: j.bennewitz@uni-hohenheim.de.

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Classifications MeSH