Zhang Yu, Lai Jinhua, Wang Xiaoyi, Li Mingli, Zhang Yanlin, Ji Chunlv, Chen Qiang, Lu Shaoxiong
Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, 650201, China.
Yunnan Fuyuefa Livestock and Poultry Feeding Company Limited, Kunming, 650300, China.
Arch Anim Breed. 2023 Nov 23;66(4):357-368. doi: 10.5194/aab-66-357-2023. eCollection 2023.
The litter trait is one of the most important economic traits, and increasing litter size is of great economic value in the pig industry. However, the molecular mechanisms underlying pig litter traits remain elusive. To identify molecular markers and candidate genes for pig litter traits, a genome-wide association study (GWAS) and selection signature analysis were conducted in a Yorkshire pig population. A total of 518 producing sows were genotyped with Illumina Porcine SNP 50 BeadChip, and 1969 farrowing records for the total number born (TNB), the number born alive (NBA), piglets born dead (PBD), and litter weight born alive (LWB) were collected. Then, a GWAS was performed for the four litter traits using a repeatability model. Based on the estimated breeding values (EBVs) of TNB, 15 high- and 15 low-prolificacy individuals were selected from the 518 sows to implement selection signature analysis. Subsequently, the selection signatures affecting the litter traits of sows were detected by using two methods including the fixation index (FST) and . Combining the results of the GWAS and selection signature analysis, 20 promising candidate genes (, , , , , , , , , , , , , , , , , , , and ) were identified. These findings provide novel insights into the genetic basis of pig litter traits and will be helpful for improving the reproductive performances of sows in pig breeding.
窝产性状是最重要的经济性状之一,提高窝产仔数在养猪业中具有重大经济价值。然而,猪窝产性状的分子机制仍不清楚。为了鉴定猪窝产性状的分子标记和候选基因,在一个大白猪群体中进行了全基因组关联研究(GWAS)和选择信号分析。总共518头经产母猪用Illumina猪SNP 50芯片进行基因分型,并收集了1969条关于总产仔数(TNB)、产活仔数(NBA)、死胎数(PBD)和产活仔窝重(LWB)的产仔记录。然后,使用重复性模型对这四个窝产性状进行GWAS。基于TNB的估计育种值(EBV),从518头母猪中选择15头高产和15头低产个体进行选择信号分析。随后,使用包括固定指数(FST)等两种方法检测影响母猪窝产性状的选择信号。结合GWAS和选择信号分析的结果,鉴定出20个有前景的候选基因(……列出20个基因名称,原文未完整给出)。这些发现为猪窝产性状的遗传基础提供了新的见解,并将有助于提高猪育种中母猪的繁殖性能。