Ji Jiuxiu, Zhou Lisheng, Guo Yuanmei, Huang Lusheng, Ma Junwu
National Key Laboratory for Pig Genetic Improvement and Production Technology, Jiangxi Agricultural University, Nanchang 330045, China.
Asian-Australas J Anim Sci. 2017 Aug;30(8):1066-1073. doi: 10.5713/ajas.16.0679. Epub 2017 Jan 13.
Growth-related traits are important economic traits in the swine industry. However, the genetic mechanism of growth-related traits is little known. The aim of this study was to screen the candidate genes and molecular markers associated with body dimension and body weight traits in pigs.
A genome-wide association study (GWAS) on body dimension and body weight traits was performed in a White Duroc×Erhualian F intercross by the illumina PorcineSNP60K Beadchip. A mixed linear model was used to assess the association between single nucleotide polymorphisms (SNPs) and the phenotypes.
In total, 611 and 79 SNPs were identified significantly associated with body dimension traits and body weight respectively. All SNPs but 62 were located into 23 genomic regions (quantitative trait loci, QTLs) on 14 autosomal and X chromosomes in Build 10.2 assembly. Out of the 23 QTLs with the suggestive significance level (5×10), three QTLs exceeded the genome-wide significance threshold (1.15×10). Except the one on chromosome (SSC) 7 which was reported previously all the QTLs are novel. In addition, we identified 5 promising candidate genes, including cell division cycle 7 for abdominal circumference, pleiomorphic adenoma gene 1 and neuropeptides B/W receptor 1 for both body weight and cannon bone circumference on SSC4, phosphoenolpyruvate carboxykinase 1, and bone morphogenetic protein 7 for hip circumference on SSC17.
The results have not only demonstrated a number of potential genes/loci associated with the growth-related traits in pigs, but also laid a foundation for studying the genes' role and further identifying causative variants underlying these loci.
生长相关性状是养猪业重要的经济性状。然而，生长相关性状的遗传机制鲜为人知。本研究旨在筛选与猪体尺和体重性状相关的候选基因和分子标记。
利用Illumina公司的PorcineSNP60K Beadchip芯片，对白杜洛克×二花脸F2代资源群体进行了体尺和体重性状的全基因组关联研究（GWAS）。采用混合线性模型评估单核苷酸多态性（SNP）与表型之间的关联。
共鉴定出611个和79个分别与体尺性状和体重显著相关的SNP。除62个SNP外，其余均位于10.2版本组装的14条常染色体和X染色体上的23个基因组区域（数量性状位点，QTL）。在23个具有提示性显著水平（5×10-6）的QTL中，有3个QTL超过了全基因组显著阈值（1.15×10-8）。除了先前报道的位于7号染色体（SSC）上的那个QTL外，其余所有QTL都是新发现的。此外，我们还鉴定出5个有潜力的候选基因，包括与腹围相关的细胞分裂周期7基因，与4号染色体上体重和管围相关的多形性腺瘤基因1和神经肽B/W受体1，与17号染色体上臀围相关的磷酸烯醇式丙酮酸羧激酶1基因和骨形态发生蛋白7基因。
这些结果不仅揭示了一些与猪生长相关性状相关的潜在基因/位点，也为研究这些基因的作用以及进一步鉴定这些位点潜在的致病变异奠定了基础。
