A genome-wide association study for fat-related traits computed by image analysis in Japanese Black cattle.
Anim Sci J
; 89(5): 743-751, 2018 May.
Article
em En
| MEDLINE
| ID: mdl-29380492
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.
Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Processamento de Imagem Assistida por Computador
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DNA
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Bovinos
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Qualidade dos Alimentos
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Polimorfismo de Nucleotídeo Único
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Locos de Características Quantitativas
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Distribuição da Gordura Corporal
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Estudo de Associação Genômica Ampla
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Fatores de Troca de Nucleotídeo Guanina Rho
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Carne
Tipo de estudo:
Prognostic_studies
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Risk_factors_studies
Limite:
Animals
País/Região como assunto:
Asia
Idioma:
En
Ano de publicação:
2018
Tipo de documento:
Article