National Engineering Laboratory for Animal Breeding; Key Laboratory of Animal Genetics, Breeding, and Reproduction, Ministry of Agriculture; College of Animal Science and Technology, China Agricultural University, Beijing 100193, China.
Shandong Provincial Key Laboratory of Animal Biotechnology and Disease Control and Prevention, College of Animal Science and Technology, Shandong Agricultural University, Tai'an 271000, China.
G3 (Bethesda). 2022 Jul 6;12(7). doi: 10.1093/g3journal/jkac118.
With the broad application of genomic information, SNP-based measures of estimating inbreeding have been widely used in animal breeding, especially based on runs of homozygosity. Inbreeding depression is better estimated by SNP-based inbreeding coefficients than pedigree-based inbreeding in general. However, there are few comprehensive comparisons of multiple methods in pigs so far, to some extent limiting their application. In this study, to explore an appropriate strategy for estimating inbreeding depression on both growth traits and reproductive traits in a Large White pig population, we compared multiple methods for the inbreeding coefficient estimation based on both pedigree and genomic information. This pig population for analyzing the influence of inbreeding was from a pig breeding farm in the Inner Mongolia of China. There were 26,204 pigs with records of age at 100 kg (AGE) and back-fat thickness at 100 kg (BF), and 6,656 sows with reproductive records of the total number of piglets at birth (TNB), and the number of alive piglets at birth (NBA), and litter weight at birth. Inbreeding depression affected growth and reproductive traits. The results indicated that pedigree-based and SNP-based inbreeding coefficients had significant effects on AGE, TNB, and NBA, except for BF. However, only SNP-based inbreeding coefficients revealed a strong association with inbreeding depression on litter weight at birth. Runs of homozygosity-based methods showed a slight advantage over other methods in the correlation analysis of inbreeding coefficients and estimation of inbreeding depression. Furthermore, our results demonstrated that the model-based approach (RZooRoH) could avoid miscalculations of inbreeding and inbreeding depression caused by inappropriate parameters, which had a good performance on both AGE and reproductive traits. These findings might improve the extensive application of runs of homozygosity analysis in pig breeding and breed conservation.
随着基因组信息的广泛应用,基于 SNP 的估计近交系数的方法已在动物育种中得到广泛应用,尤其是基于纯合子的 Runs of Homozygosity(ROH)。一般来说,基于 SNP 的近交系数比基于系谱的近交系数更能准确估计近交衰退。然而,迄今为止,在猪中对多种方法进行全面比较的情况很少,在一定程度上限制了它们的应用。在这项研究中,为了探索适用于大白猪群体生长性状和繁殖性状的近交衰退估计策略,我们比较了基于系谱和基因组信息的多种近交系数估计方法。用于分析近交影响的猪群体来自中国内蒙古的一个养猪场。有 26204 头猪记录了 100kg 年龄(AGE)和 100kg 背膘厚(BF),有 6656 头母猪记录了总产仔数(TNB)、初生窝仔数(NBA)和初生窝重。近交衰退影响生长和繁殖性状。结果表明,基于系谱和 SNP 的近交系数对 AGE、TNB 和 NBA 有显著影响,除 BF 外。然而,只有基于 SNP 的近交系数与初生窝重的近交衰退有很强的相关性。基于 ROH 的方法在近交系数的相关分析和近交衰退的估计方面比其他方法略有优势。此外,我们的结果表明,基于模型的方法(RZooRoH)可以避免因参数不合适而导致的近交和近交衰退的错误计算,在 AGE 和繁殖性状方面都有良好的表现。这些发现可能会提高 ROH 分析在猪育种和品种保护中的广泛应用。