Tan Cheng, Wu Zhenfang, Ren Jiangli, Huang Zhuolin, Liu Dewu, He Xiaoyan, Prakapenka Dzianis, Zhang Ran, Li Ning, Da Yang, Hu Xiaoxiang
State Key Laboratory for Agrobiotechnology, China Agricultural University, Beijing, 100193, China.
Department of Animal Science, University of Minnesota, Saint Paul, MN, 55108, USA.
Genet Sel Evol. 2017 Mar 29;49(1):35. doi: 10.1186/s12711-017-0311-8.
The number of teats in pigs is related to a sow's ability to rear piglets to weaning age. Several studies have identified genes and genomic regions that affect teat number in swine but few common results were reported. The objective of this study was to identify genetic factors that affect teat number in pigs, evaluate the accuracy of genomic prediction, and evaluate the contribution of significant genes and genomic regions to genomic broad-sense heritability and prediction accuracy using 41,108 autosomal single nucleotide polymorphisms (SNPs) from genotyping-by-sequencing on 2936 Duroc boars.
Narrow-sense heritability and dominance heritability of teat number estimated by genomic restricted maximum likelihood were 0.365 ± 0.030 and 0.035 ± 0.019, respectively. The accuracy of genomic predictions, calculated as the average correlation between the genomic best linear unbiased prediction and phenotype in a tenfold validation study, was 0.437 ± 0.064 for the model with additive and dominance effects and 0.435 ± 0.064 for the model with additive effects only. Genome-wide association studies (GWAS) using three methods of analysis identified 85 significant SNP effects for teat number on chromosomes 1, 6, 7, 10, 11, 12 and 14. The region between 102.9 and 106.0 Mb on chromosome 7, which was reported in several studies, had the most significant SNP effects in or near the PTGR2, FAM161B, LIN52, VRTN, FCF1, AREL1 and LRRC74A genes. This region accounted for 10.0% of the genomic additive heritability and 8.0% of the accuracy of prediction. The second most significant chromosome region not reported by previous GWAS was the region between 77.7 and 79.7 Mb on chromosome 11, where SNPs in the FGF14 gene had the most significant effect and accounted for 5.1% of the genomic additive heritability and 5.2% of the accuracy of prediction. The 85 significant SNPs accounted for 28.5 to 28.8% of the genomic additive heritability and 35.8 to 36.8% of the accuracy of prediction.
The three methods used for the GWAS identified 85 significant SNPs with additive effects on teat number, including SNPs in a previously reported chromosomal region and SNPs in novel chromosomal regions. Most significant SNPs with larger estimated effects also had larger contributions to the total genomic heritability and accuracy of prediction than other SNPs.
猪的乳头数量与母猪将仔猪养育至断奶期的能力相关。多项研究已鉴定出影响猪乳头数量的基因和基因组区域,但鲜有共同的研究结果报道。本研究的目的是鉴定影响猪乳头数量的遗传因素,评估基因组预测的准确性,并使用来自2936头杜洛克公猪的测序基因分型得到的41,108个常染色体单核苷酸多态性(SNP),评估显著基因和基因组区域对基因组广义遗传力和预测准确性的贡献。
通过基因组限制最大似然法估计的乳头数量狭义遗传力和显性遗传力分别为0.365±0.030和0.035±0.019。在十重验证研究中,以基因组最佳线性无偏预测与表型之间的平均相关性计算的基因组预测准确性,对于具有加性和显性效应的模型为0.437±0.064,对于仅具有加性效应的模型为0.435±0.064。使用三种分析方法的全基因组关联研究(GWAS)鉴定出在第1、6、7、10、11、12和14号染色体上有85个影响乳头数量的显著SNP效应。在多项研究中报道的第7号染色体上102.9至106.0 Mb之间的区域,在PTGR2、FAM161B、LIN52、VRTN、FCF1、AREL1和LRRC74A基因内或附近具有最显著的SNP效应。该区域占基因组加性遗传力的10.0%和预测准确性的8.0%。先前GWAS未报道的第二显著染色体区域是第11号染色体上77.7至79.7 Mb之间的区域,其中FGF14基因中的SNP具有最显著的效应,占基因组加性遗传力的5.1%和预测准确性的5.2%。这85个显著SNP占基因组加性遗传力的28.5%至28.8%和预测准确性的35.8%至36.8%。
用于GWAS的三种方法鉴定出85个对乳头数量具有加性效应的显著SNP,包括先前报道的染色体区域中的SNP和新染色体区域中的SNP。大多数估计效应较大的显著SNP对总基因组遗传力和预测准确性的贡献也比其他SNP更大。