Genomewide association analysis of growth traits in Charolais beef cattle

Title
Genomewide association analysis of growth traits in Charolais beef cattle
Publication Date
2016
Author(s)
Jahuey-Martinez, F J
Parra-Bracamonte, G M
Sifuentes-Rincon, A M
Martinez-Gonzalez, J C
Gondro, Cedric
( author )
OrcID: https://orcid.org/0000-0003-0666-656X
Email: cgondro2@une.edu.au
UNE Id une-id:cgondro2
Garcia-Perez, C A
Lopez-Bustamante, L A
Type of document
Journal Article
Language
en
Entity Type
Publication
Publisher
American Society of Animal Science
Place of publication
United States of America
DOI
10.2527/jas.2016-0359
UNE publication id
une:20208
Abstract
The objective of this study was to perform a genomewide association study (GWAS) for growth traits in Charolais beef cattle and to identify SNP markers and genes associated with these traits. Our study included 855 animals genotyped using 76,883 SNP from the GeneSeek Genomic Profiler Bovine HD panel. The examined phenotypic data included birth, weaning, and yearling weights as well as pre- and postweaning ADG. After quality control, 68,337 SNP and 823 animals were retained in the analysis. The association analysis was performed using the principal components method via the egscore function of the GenABEL version 1.8-0 package in the R environment. Eighteen SNP located in 13 BTA were associated with growth traits (P < 5 x 10⁻⁵). The most important genes in these genomic regions were TRAF6 (tumor necrosis factor receptor-associated factor 6), CDH11 (cadherin 11, type 2, OB-cadherin), KLF7 (Kruppel-like factor 7), MIR181A-1 (microRNA 181A-1), and PRCP (prolylcarboxypeptidase [angio-tensinase C]), due to their relationships with perinatal and postnatal survival, bone growth, cell adhesion, regulation of adipogenesis, and appetite. In conclusion, this study is the first to describe a GWAS conducted in beef cattle in Mexico and represents a basis for further and future research. This study detected new QTL associated with growth traits and identified 5 positional and functional candidate genes that are potentially involved in variations of the analyzed traits. Future analyses of these regions could help to identify useful markers for marker-assisted selection and will contribute to the knowledge of the genetic basis of growth in cattle and be a foundation for genomic predictions in Mexican Charolais cattle.
Link
Citation
Journal of Animal Science, 94(11), p. 4570-4582
ISSN
1525-3163
0021-8812
Start page
4570
End page
4582

Files:

NameSizeformatDescriptionLink