Department of Animal Science, College of Animal Sciences, Zhejiang University, Hangzhou 310058, PR China.
Department of Animal Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 200240, PR China.
Genomics. 2022 Jan;114(1):340-350. doi: 10.1016/j.ygeno.2021.12.016. Epub 2021 Dec 18.
Extremely low coverage whole genome sequencing (lcWGS) is an economical technique to obtain high-density single nucleotide polymorphisms (SNPs). Here, we explored the feasibility of constructing a haplotype reference panel (lcHRP) using lcWGS and evaluated the effects of lcHRP through a genome-wide association study (GWAS) and genomic prediction in pigs. A total of 297 and 974 Duroc pigs were genotyped using lcWGS and a 50 K SNP array, respectively. We obtained 19,306,498 SNPs using lcWGS with an accuracy of 0.984. With the help of lcHRP, the accuracy of imputation from the SNP array to lcWGS was 0.922. Compared to the SNP array findings, those from the imputation-based GWAS identified more signals across four traits. With the integration of the top 1% imputation-based GWAS findings as genomic features, the accuracies of genomic prediction was improved by 6.0% to 13.2%. This study showed the great potential of lcWGS in pigs' molecular breeding.
极低保真度全基因组测序(lcWGS)是一种经济实惠的技术,可获得高密度的单核苷酸多态性(SNP)。在这里,我们探索了使用 lcWGS 构建单倍型参考面板(lcHRP)的可行性,并通过全基因组关联研究(GWAS)和猪的基因组预测评估了 lcHRP 的效果。使用 lcWGS 和 50K SNP 阵列分别对 297 和 974 头杜洛克猪进行了基因型分析。我们使用 lcWGS 获得了 19,306,498 个 SNP,准确率为 0.984。在 lcHRP 的帮助下,从 SNP 阵列到 lcWGS 的 imputation 准确率为 0.922。与 SNP 阵列的发现相比,基于 imputation 的 GWAS 在四个性状中识别出了更多的信号。通过整合基于 imputation 的 GWAS 的前 1%的发现作为基因组特征,基因组预测的准确性提高了 6.0%至 13.2%。这项研究表明 lcWGS 在猪的分子育种中具有巨大的潜力。