A genome-wide association study for fat-related traits computed by image analysis in Japanese Black cattle

Ayaka Nakajima, Fuki Kawaguchi, Yoshinobu Uemoto, Moriyuki Fukushima, Emi Yoshida, Eiji Iwamoto, Takayuki Akiyama, Namiko Kohama, Eiji Kobayashi, Takeshi Honda, Kenji Oyama, Hideyuki Mannen, Shinji Sasazaki

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)743-751
Number of pages9
JournalAnimal Science Journal
Volume89
Issue number5
DOIs
Publication statusPublished - 2018 May

Keywords

  • Fat-related traits
  • Japanese Black cattle
  • genome-wide association study (GWAS)
  • image analysis
  • marbling

ASJC Scopus subject areas

  • Agricultural and Biological Sciences(all)

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