Genome-wide association study reveals a genomic region on SSC7 simultaneously associated with backfat thickness, skin thickness and carcass length in a Large White × Tongcheng advanced generation intercross resource population

Anim Genet. 2023 Apr;54(2):216-219. doi: 10.1111/age.13285. Epub 2022 Dec 13.

Abstract

In order to identify important genetic markers associated with backfat thickness, skin thickness and carcass length, we first constructed Large White × Tongcheng (Chinese local breed), an advanced generation intercross population, then performed a genome-wide association study (GWAS) to reveal the key genomic region associated with these traits through whole genome sequencing. The GWAS results of backfat thickness, skin thickness and carcass length showed that all the most significant SNPs associated with these three traits were located on SSC7, and that 14.9, 27.0 and 21.1% of phenotypic variances were explained by these three SNPs, respectively. Through linkage disequilibrium analysis, we found that a 66.9 kb (30.23-30.31 Mb) genetic region was overlapped among these three traits, and that NUDT3 and HMGA1 were identified as major candidate genes for backfat thickness and carcass length, and GRM4 as a potential candidate gene for skin thickness. In addition, 13 highly linked SNPs significantly associated with the three traits were also identified in overlapped region, and three completely linked SNPs formed two haplotypes Q and q. The backfat thickness of individuals with the qq genotype was significantly lower than that of individuals with the QQ genotype, but their carcass length and skin thickness were significantly higher than those with the QQ genotype. Our detected candidate genes and SNPs will provide the foundation for genetic improvement of these three traits.

Keywords: advanced generation intercross population; backfat thickness; carcass length; genome-wide association study; genomic region; skin thickness; whole genome sequencing.

MeSH terms

  • Animals
  • Genome-Wide Association Study*
  • Genomics / methods
  • Genotype
  • Phenotype
  • Polymorphism, Single Nucleotide
  • Quantitative Trait Loci*