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Genome-wide association study for milk production traits in a Brazilian Holstein population.

Authors :
Iung LHS
Petrini J
Ramírez-Díaz J
Salvian M
Rovadoscki GA
Pilonetto F
Dauria BD
Machado PF
Coutinho LL
Wiggans GR
Mourão GB
Source :
Journal of dairy science [J Dairy Sci] 2019 Jun; Vol. 102 (6), pp. 5305-5314. Date of Electronic Publication: 2019 Mar 21.
Publication Year :
2019

Abstract

Advances in the molecular area of selection have expanded knowledge of the genetic architecture of complex traits through genome-wide association studies (GWAS). Several GWAS have been performed so far, but confirming these results is not always possible due to several factors, including environmental conditions. Thus, our objective was to identify genomic regions associated with traditional milk production traits, including milk yield, somatic cell score, fat, protein and lactose percentages, and fatty acid composition in a Holstein cattle population producing under tropical conditions. For this, 75,228 phenotypic records from 5,981 cows and genotypic data of 56,256 SNP from 1,067 cows were used in a weighted single-step GWAS. A total of 46 windows of 10 SNP explaining more than 1% of the genetic variance across 10 Bos taurus autosomes (BTA) harbored well-known and novel genes. The MGST1 (BTA5), ABCG2 (BTA6), DGAT1 (BTA14), and PAEP (BTA11) genes were confirmed within some of the regions identified in our study. Potential novel genes involved in tissue damage and repair of the mammary gland (COL18A1), immune response (LTTC19), glucose homeostasis (SLC37A1), synthesis of unsaturated fatty acids (LTBP1), and sugar transport (SLC37A1 and MFSD4A) were found for milk yield, somatic cell score, fat percentage, and fatty acid composition. Our findings may assist genomic selection by using these regions to design a customized SNP array to improve milk production traits on farms with similar environmental conditions.<br /> (Copyright © 2019 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.)

Details

Language :
English
ISSN :
1525-3198
Volume :
102
Issue :
6
Database :
MEDLINE
Journal :
Journal of dairy science
Publication Type :
Academic Journal
Accession number :
30904307
Full Text :
https://doi.org/10.3168/jds.2018-14811