Detection of CNV in the SH3RF2 gene and its effects on growth and carcass traits in chickens

Abstract

Background: The SH3RF2 gene is a protein-coding gene located in a quantitative trait locus associated with body weight, and its deletion has been shown to be positively associated with body weight in chickens. Results: In the present study, CNV in the SH3RF2 gene was detected in 4,079 individuals from 17 populations, including the “Gushi ×Anka” F2 resource population and populations of Chinese native chickens, commercial layers, and commercial broilers. The F2 resource population was then used to investigate the genetic effects of the chicken SH3RF2 gene. The results showed that the local chickens and commercial layers were all homozygous for the wild-type allele. Deletion mutation individuals were detected in all of the commercial broiler breeds except Hubbard broiler. A total of, 798 individuals in the F2 resource group were used to analyze the effects of genotype (DD/ID/II) on chicken production traits. The results showed that CNV was associated with 2-, 6-, 10-, and 12-week body weight ( P = 0.026, 0.042, 0.021 and 0.039 respectively) and significantly associated with 8-week breast bone length ( P = 0.045). The mutation was significantly associated with 8-week body weight ( P = 0.007) and 4-week breast bone length ( P = 0.010). CNV was significantly associated with evisceration weight, leg muscle weight, carcass weight, breast muscle weight and gizzard weight ( P = 0.032, 0.033, 0.045, 0.004 and 0.000, respectively). Conclusions: CNV of the SH3RF2 gene contributed to variation in the growth and weight gain of chickens.

CNV-based genome-wide association studies with performance traits in broilers

“…Variations in the genome, especially single nucleotide polymorphisms (SNPs), are known to be associated with phenotypic variation [7]. However, structural variations, such as the copy number variations (CNVs) have been increasingly studied and associated with quantitative traits of economic interest in livestock [8][9][10][11][12][13][14][15].…”