1. A genome wide association study for fat-related traits computed by image analysis in Japanese Black cattle
- Author
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Yoshinobu Uemoto, Kenji Oyama, Emi Yoshida, Takeshi Honda, Hideyuki Mannen, Eiji Iwamoto, Ayaka Nakajima, Namiko Kohama, Takayuki Akiyama, Moriyuki Fukushima, Fuki Kawaguchi, Eiji Kobayashi, and Shinji Sasazaki
- Subjects
Male ,0301 basic medicine ,Meat ,Genotyping Techniques ,Quantitative Trait Loci ,Population ,Single-nucleotide polymorphism ,Genome-wide association study ,Quantitative trait locus ,Biology ,Polymorphism, Single Nucleotide ,03 medical and health sciences ,Gene Frequency ,Japan ,Food Quality ,Image Processing, Computer-Assisted ,Angiopoietin-Like Protein 4 ,Animals ,Body Fat Distribution ,SNP ,education ,Genotyping ,Genetic association ,Genetics ,education.field_of_study ,0402 animal and dairy science ,DNA ,04 agricultural and veterinary sciences ,General Medicine ,040201 dairy & animal science ,030104 developmental biology ,Cattle ,Female ,Perilipins ,General Agricultural and Biological Sciences ,Rho Guanine Nucleotide Exchange Factors ,Genome-Wide Association Study - 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.
- Published
- 2018
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