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논문 기본 정보

자료유형
학술저널
저자정보
원경혜 (전북대학교) 김도현 (전북대학교 동물생명과학과) In-Ho Hwang (Chonbuk National University) Hak-Kyo Lee (Jeonbuk National University) Jae-Don Oh (Chonbuk National University Korea)
저널정보
한국축산학회(구 한국동물자원과학회) 한국축산학회지 한국축산학회지 제65권 제2호
발행연도
2023.3
수록면
311 - 323 (13page)

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Beef consumers valued meat quality traits such as texture, tenderness, juiciness, flavor, and meat color that determining consumers’ purchasing decision. Most research on meat quality has focused on marbling, a key characteristic related to meat eating quality. However, other important traits such as meat texture, tenderness, and color have not much studied in cattle. Among these traits, meat tenderness and texture of cattle are among the most important factors affecting quality evaluation of consumers. Collagen is the main component of connective tissues.It greatly affects meat tenderness. The objective of this study was to determine significant variants and candidate genes associated with collagen contents trait (total collagen) through genome-wide association studies (GWAS). Phenotypic and genomic data from 135 Hanwoo were used. The BLUPF90 family program and GRAMMAR method for GWAS were applied in this study. A total of 73 potential single nucleotide polymorphisms (SNPs) showed significant associations with collagen content. They were located in or near 108 candidate genes. TMEM135 and ME3 genes were identified to have the most significant SNPs associated with collagen contents trait. Data indicated that these genes were related to collagen. Biological processes and pathways for the prediction of biological functions of candidate genes were confirmed. We found that candidate genes were involved in positive regulation of CREB transcription factor activity and actin cytoskeleton related to tenderness and texture of beef. Three genes (CRTC3, MYO1C and MYLK4) belonging to these biological functions were related to tenderness. These results provide a basis for improving genomic characteristics of Hanwoo for the production of tender beef. Furthermore, they could be used they could be used as an index to select desired traits for consumers.

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