Cis-eQTL Analysis and Functional Validation of Candidate Genes for Carcass Yield Traits in Beef Cattle.
Tianzhen WangQunhao NiuTianliu ZhangXu ZhengHaipeng LiXue GaoYan ChenHuijiang GaoLupei ZhangGeorge E LiuJunya LiLingyang XuPublished in: International journal of molecular sciences (2022)
Carcass yield traits are of considerable economic importance for farm animals, which act as a major contributor to the world’s food supply. Genome-wide association studies (GWASs) have identified many genetic variants associated with carcass yield traits in beef cattle. However, their functions are not effectively illustrated. In this study, we performed an integrative analysis of gene-based GWAS with expression quantitative trait locus (eQTL) analysis to detect candidate genes for carcass yield traits and validate their effects on bovine skeletal muscle satellite cells (BSCs). The gene-based GWAS and cis-eQTL analysis revealed 1780 GWAS and 1538 cis-expression genes. Among them, we identified 153 shared genes that may play important roles in carcass yield traits. Notably, the identified cis-eQTLs of PON3 and PRIM2 were significantly (p < 0.001) enriched in previous GWAS loci for carcass traits. Furthermore, overexpression of PON3 and PRIM2 promoted the BSCs’ proliferation, increased the expression of MYOD and downregulated the expression of MYOG, which indicated that these genes may inhibit myogenic differentiation. In contrast, PON3 and PRIM2 were significantly downregulated during the differentiation of BSCs. These findings suggested that PON3 and PRIM2 may promote the proliferation of BSCs and inhibit them in the pre-differentiation stage. Our results further contribute to the understanding of the molecular mechanisms of carcass yield traits in beef cattle.
Keyphrases
- genome wide
- dna methylation
- poor prognosis
- skeletal muscle
- copy number
- genome wide identification
- signaling pathway
- gene expression
- long non coding rna
- induced apoptosis
- genome wide association
- type diabetes
- oxidative stress
- metabolic syndrome
- cell proliferation
- climate change
- risk assessment
- insulin resistance
- genome wide analysis
- cell cycle arrest
- data analysis
- bioinformatics analysis