Back to Search
Start Over
A genome-wide association study for fat-related traits computed by image analysis in Japanese Black cattle.
- Source :
-
Animal science journal = Nihon chikusan Gakkaiho [Anim Sci J] 2018 May; Vol. 89 (5), pp. 743-751. Date of Electronic Publication: 2018 Jan 30. - Publication Year :
- 2018
-
Abstract
- The objective of this study was to identify genomic regions associated with fat-related traits using a Japanese Black cattle population in Hyogo. From 1836 animals, those with high or low values were selected on the basis of corrected phenotype and then pooled into high and low groups (n = 100 each), respectively. DNA pool-based genome-wide association study (GWAS) was performed using Illumina BovineSNP50 BeadChip v2 with three replicate assays for each pooled sample. GWAS detected that two single nucleotide polymorphisms (SNPs) on BTA7 (ARS-BFGL-NGS-35463 and Hapmap23838-BTA-163815) and one SNP on BTA12 (ARS-BFGL-NGS-2915) significantly affected fat percentage (FAR). The significance of ARS-BFGL-NGS-35463 on BTA7 was confirmed by individual genotyping in all pooled samples. Moreover, association analysis between SNP and FAR in 803 Japanese Black cattle revealed a significant effect of SNP on FAR. Thus, further investigation of these regions is required to identify FAR-associated genes and mutations, which can lead to the development of DNA markers for marker-assisted selection for the genetic improvement of beef quality.<br /> (© 2018 Japanese Society of Animal Science.)
- Subjects :
- Angiopoietin-Like Protein 4 genetics
Animals
Female
Gene Frequency
Genotyping Techniques
Japan
Male
Perilipins genetics
Body Fat Distribution
Cattle genetics
Cattle metabolism
DNA genetics
Food Quality
Genome-Wide Association Study
Image Processing, Computer-Assisted methods
Meat
Polymorphism, Single Nucleotide genetics
Quantitative Trait Loci genetics
Rho Guanine Nucleotide Exchange Factors genetics
Subjects
Details
- Language :
- English
- ISSN :
- 1740-0929
- Volume :
- 89
- Issue :
- 5
- Database :
- MEDLINE
- Journal :
- Animal science journal = Nihon chikusan Gakkaiho
- Publication Type :
- Academic Journal
- Accession number :
- 29380492
- Full Text :
- https://doi.org/10.1111/asj.12987