Premium
A genome‐wide association study for fat‐related traits computed by image analysis in Japanese Black cattle
Author(s) -
Nakajima Ayaka,
Kawaguchi Fuki,
Uemoto Yoshinobu,
Fukushima Moriyuki,
Yoshida Emi,
Iwamoto Eiji,
Akiyama Takayuki,
Kohama Namiko,
Kobayashi Eiji,
Honda Takeshi,
Oyama Kenji,
Mannen Hideyuki,
Sasazaki Shinji
Publication year - 2018
Publication title -
animal science journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.606
H-Index - 38
eISSN - 1740-0929
pISSN - 1344-3941
DOI - 10.1111/asj.12987
Subject(s) - genome wide association study , genotyping , single nucleotide polymorphism , biology , snp , genetic association , genetics , snp genotyping , population , genotype , gene , medicine , environmental health
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 Bovine SNP 50 BeadChip v2 with three replicate assays for each pooled sample. GWAS detected that two single nucleotide polymorphisms ( SNP s) on BTA 7 ( ARS ‐ BFGL ‐ NGS ‐35463 and Hapmap23838‐ BTA ‐163815) and one SNP on BTA 12 ( ARS ‐ BFGL ‐ NGS ‐2915) significantly affected fat percentage ( FAR ). The significance of ARS ‐ BFGL ‐ NGS ‐35463 on BTA 7 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.