Genome-Wide Association Study to Identify QTL for Carcass Traits in Korean Hanwoo Cattle

Abstract

This study aimed to identify genetic associations with carcass traits in Hanwoo cattle using a genome-wide association study. A total of 9302 phenotypes were analyzed, and all animals were genotyped using the Illumina Bovine 50K v.3 SNP chip. Heritabilities for carcass weight (CWT), eye muscle area (EMA), backfat thickness (BF), and marbling score (MS) were estimated as 0.42, 0.36, 0.36, and 0.47, respectively, using the GBLUP model, and 0.47, 0.37, 0.36, and 0.42, respectively, using the Bayes B model. We identified 129 common SNPs using DGEBV and 118 common SNPs using GEBV on BTA6, BTA13, and BTA14, suggesting their potential association with the traits of interest. No common SNPs were found between the GBLUP and Bayes B methods when using residuals as a response variable in GWAS. The most promising candidate genes for CWT included SLIT2, PACRGL, KCNIP4, RP1, XKR4, LYN, RPS20, MOS, FAM110B, UBXN2B, CYP7A1, SDCBP, NSMAF, TOX, CA8, LAP3, FAM184B, and NCAPG. For EMA, the genes IBSP, LAP3, FAM184B, LCORL, NCAPG, SLC30A9, and BEND4 demonstrated significance. Similarly, CYP7B1, ARMC1, PDE7A, and CRH were associated with BF, while CTSZ, GNAS, VAPB, and RAB22A were associated with MS. This finding offers valuable insights into genomic regions and molecular mechanisms influencing Hanwoo carcass traits, aiding efficient breeding strategies.

Unlocking the Transcriptional Control of NCAPG in Bovine Myoblasts: CREB1 and MYOD1 as Key Players

“…According to recent research, NCAPG is situated within quantitative trait loci (QTL) that control important traits, including body frame size and carcass weight [ 36 ]. These findings suggest a significant involvement of NCAPG in the phenotype of cattle.…”

A review of the role of transcription factors in regulating adipogenesis and lipogenesis in beef cattle

“…Beyond pinpointing genomic regions linked to superior beef qualities, this comprehensive method offers crucial insights for precision breeding and genetic improvement programs, guiding advancements in beef cattle genetics. A key application involves predicting and enhancing marbling traits, crucial for meat quality, where large‐scale genome‐wide analysis identifies genetic markers and candidate genes influencing marbling potential (Alam et al., 2023; Bedhane et al., 2019; Terry et al., 2020). Advanced genome‐wide studies methodologies also reveal intricate genetic networks governing various beef qualities, providing a roadmap for targeted genetic selection and breeding programs that enhance multiple facets of beef quality concurrently (Adhikari et al., 2023; Leal‐Gutiérrez et al., 2019; Zhang et al., 2020).…”