State Key Laboratory for Swine Genetic Improvement and Production Technology, Jiangxi Agricultural University, Nanchang, China.
Anim Biotechnol. 2022 Nov;33(6):1205-1216. doi: 10.1080/10495398.2021.1884087. Epub 2021 May 19.
Genetic analysis of porcine growth and fatness traits is beneficial to the swine industry and provides a reference to understand human obesity. Here, we obtained 29 growth and fatness traits for 473 individuals from a White Duroc × Erhualian F intercross population. Basic statistical analyses showed that: (1) Positive correlations between different-stage body weights were detected, the shorter the time interval the stronger the correlation. (2) Strong correlations existed in the paired fatness traits. (3) With the growth of age, the correlation between fatness and body weight was increasing. All pigs were genotyped by Illumina 50 K SNP chips and their whole-genome genotypes were imputed referred to 109 re-sequencing data. We performed common and imputation-based GWASs for these traits. Two genome-wide significant loci on swine chromosome (SSC) 4 and 7 were repeatedly detected. The strongest association ( = 3.24 × 10) was detected at 31.96 Mb on SSC7 for leaf fat weight. On this locus, seven major haplotypes were identified, of which two were novel and had an increasing-fatness effect. In the imputation-based GWAS, three new loci were identified. Our findings provide further insights into and enhance our understanding of genetic mechanism of porcine growth and fat deposition.
猪的生长和脂肪性状的遗传分析有利于养猪业，并为了解人类肥胖提供了参考。在这里，我们从一个大白杜洛克 × 二花脸 F2 杂交群体中获得了 473 个个体的 29 个生长和脂肪性状。基本统计分析表明：（1）不同阶段体重之间存在正相关，时间间隔越短相关性越强。（2）配对脂肪性状之间存在很强的相关性。（3）随着年龄的增长，脂肪和体重之间的相关性增加。所有的猪都用 Illumina 50K SNP 芯片进行了基因分型，并参考 109 个重测序数据对其全基因组基因型进行了推断。我们对这些性状进行了常见和基于推断的 GWAS。在猪的第 4 号和第 7 号染色体（SSC）上重复检测到两个全基因组显著位点。在 SSC7 上 31.96Mb 处检测到与叶片脂肪重量相关的最强关联（ = 3.24×10）。在这个位点上，确定了七个主要单倍型，其中两个是新的，具有增加脂肪的效果。在基于推断的 GWAS 中，鉴定出三个新的位点。我们的研究结果为猪的生长和脂肪沉积的遗传机制提供了更深入的了解和认识。
