Genetic Polymorphisms of the CACNA2D1 Gene and Their Association with Carcass and Meat Quality Traits in Cattle

Abstract

The objective of this study was to identify genetic polymorphisms of the CACNA2D1 gene and to analyze associations between SNPs and carcass and meat quality traits in cattle. Through PCR-RFLP and DNA sequencing methods, a new allelic variant corresponding to the A --> G mutation (aspartic to glycine amino acid replacement) of the bovine CACNA2D1 gene was detected. Two alleles and three genotypes (AA, AG, and GG) were defined. Genetic character indicated that the A526745G locus showed moderate polymorphism and was in Hardy-Weinberg equilibrium. Gene-specific SNP marker association analysis showed that the A526745G mutant was significantly associated with carcass weight, dressing percentage, meat percentage, and backfat thickness. The results add new evidence that CACNA2D1 is an important candidate gene for the selection of carcass and meat quality traits in the cattle industry.

Characterization and validation of point mutation in Exon 19 of Calcium Channel, voltage-dependent, Alpha-2/Delta subunit 1(CACNA2D1)gene and its relationship with mastitis traits in Sahiwal

“…These studies through PCR-RFLP and DNA sequencing methods reported that A526745G allelic variant was corresponding to replacement of aspartic acid (Asp) to glycine (Gly) in bovine CACNA2D1 gene translation. The A526745G mutation was significantly associated with Somatic cell score (SCS), carcass weight, dressing percentage, meat percentage and backfat thickness in various cattle breeds such as Holstein, Sanhe and Simmental (Hou et al, 2010, Yuan et al, 2011. This is the first study which reports monomorphism of CACNA2D1 in indigenous cattle contradicting with previous studies.…”

“…There are complications associated with therapeutic interventions involving resistance to antibiotics, efficacy and costeffectiveness issues. There has been growing amount of interest in selection for health traits in the dairy industry (Hou et al, 2010) . The candidate gene approach may offer us with a more direct and comprehensive understanding of the genetic basis underlying the differences in the quantitative expression between different breeds.…”

Aggregation of Omic Data and Secretome Prediction Enable the Discovery of Candidate Plasma Biomarkers for Beef Tenderness

“…Eleven articles including the series accession number GSE9256 (PMID: 18443416) were found as eligible for transcriptomic data [15,17,18,24,41,[48][49][50][51][52][53]. Twelve articles were found as eligible for genetic data [18,50,[54][55][56][57][58][59][60][61][62][63]. The computational data aggregation from these 44 publications gave an overview of 1299 ID gene name (GN) related to meat tenderness whatever the muscle, breed, animal type, sex, age at slaughter, geographic area, and methodologies used for tenderness evaluation.…”

Tissue expression and predicted protein structures of the bovine ANGPTL3 and association of novel SNPs with growth and meat quality traits

“…The associations between SNP marker genotypes and carcass and meat quality traits were analyzed according to the following linear model: Y ijkl = μ + BF i + Month j + G k + e ijkl , where Y ijkl is the observed value, μ the overall mean for each trait, BF i the fixed effect of i th breed and farm, Month j = the fixed effect of j th month of slaughtering, G k the fixed effect of k th single SNP marker genotype; e ijkl the random error (Hou et al, 2010).…”