College of Animal Sciences and Technology, Henan Agricultural University, Zhengzhou, Henan, 450046, China.
Anim Genet. 2021 Apr;52(2):217-222. doi: 10.1111/age.13032. Epub 2020 Dec 29.
Growth-related traits are important economic traits in the pig industry that directly influence pork production efficiency. To detect quantitative trait loci and candidate genes affecting growth traits, genome-wide association studies were performed for backfat thickness (BF) and loin muscle depth (LMD) in 370 Chuying-black pigs using Illumina PorcineSNP50 BeadChip array. We totally identified 14 BF-associated SNPs, which included 11 genome-wide SNPs (P < 1.39E-06) and 3 chromosome-wide suggestive SNPs (P < 2.79E-05) and for LMD, 9 SNPs surpassed the genome-wide significant threshold (P < 1.39E-06). These SNPs explained 30.33 and 27.51% phenotypic variance for BF and LMD respectively. Furthermore, 14 and 9 genes nearest to the significant SNPs were selected to be candidate genes, including MAGED1, GPHN, CCSER1, and GUCY2D for BF and PARM1, COL18A1, HSF5, and SCML2 genes for LMD. One significant SNP, which explained 6.07% of phenotypic variance for BF, mapped to a pleiotropic quantitative trait locus with a 494-kb interval. Together, the SNPs and candidate genes identified in this study will advance our understanding of the complex genetic architecture of BF and LMD traits, and they will also provide important clues for future implementation of a genomic selection program in Chuying-black pigs.
生长相关性状是猪产业中的重要经济性状,直接影响猪肉生产效率。为了检测影响生长性状的数量性状位点和候选基因,我们使用 Illumina PorcineSNP50 BeadChip 阵列对 370 头楚英黑猪的背膘厚(BF)和腰肌肉深度(LMD)进行了全基因组关联研究。我们总共鉴定出 14 个与 BF 相关的 SNP,其中包括 11 个全基因组 SNP(P < 1.39E-06)和 3 个染色体全基因组 SNP(P < 2.79E-05),以及 9 个 SNP 超过了全基因组显著阈值(P < 1.39E-06)。这些 SNP 分别解释了 BF 和 LMD 表型变异的 30.33%和 27.51%。此外,选择了 14 个和 9 个最接近显著 SNP 的基因作为候选基因,包括 BF 相关的 MAGED1、GPHN、CCSER1 和 GUCY2D 基因,以及 LMD 相关的 PARM1、COL18A1、HSF5 和 SCML2 基因。一个显著 SNP 解释了 BF 表型变异的 6.07%,映射到一个 494-kb 间隔的多效性数量性状位点。总之,本研究中鉴定的 SNP 和候选基因将有助于我们理解 BF 和 LMD 性状的复杂遗传结构,也将为未来在楚英黑猪中实施基因组选择计划提供重要线索。