摘要
本实验旨在利用全基因组关联分析(GWAS)搜寻与金华猪、嵊县花猪总产仔数(TNB)和产活仔数(NBA)相关的候选基因。选择205头金华猪和174头嵊县花猪为实验材料,通过提取血样DNA并利用Illumina猪50K SNP芯片进行基因型分型,利用PLINK v1.09对获得的基因型数据进行质控后用于GWAS研究。采用GEMMA软件中的混合线性模型(MLM)对每个SNP与性状做关联分析,定位出显著位点。结果表明:金华猪的20个SNPs呈基因组水平或染色体水平显著;嵊县花猪的2个SNPs呈基因组水平或染色体水平显著;META分析得到21个SNPs呈基因组水平或染色体水平显著。最终找到22个候选基因,根据基因功能注释推测NANOS1、E2F7、AEBP2是最可能影响总产仔数和产活仔数的候选基因。
The objective of this study was to identify candidate genes related to total number born(TNB)and number born alive(NBA)in Jinhua pigs and Shengxian pigs by genome-wide association analysis(GWAS).A total of 205 Jinhua pigs and 174 Shengxian pigs were used as experimental materials,and the genotype data were obtained by Illumina 50K SNP BeadChip after genomic DNA extracted from blood samples.Quality control was carried out using PLINK v1.09.The mixed linear model(MLM)in GEMMA software was used to analyze the association between each SNP and traits to locate significant or suggestive locus.The results showed that a total of 20 and 2 significant or suggestive SNPs with TNB and NBA in Jinhua pigs and Shengxian pigs.As for META analysis,21 significant or suggestive SNPs were detected.Finally,22 candidate genes were identified and potential candidate genes(NANOS1,E2F7,AEBP2)were found for these traits in domestic pigs.
作者
蔡薇
罗才玉
项云
章啸君
徐宁迎
郭晓令
CAI Wei;LUO Caiyu;XIANG Yun;ZHANG Xiaojun;XU Ningying;GUO Xiaoling(Collage of Animal Science,Zhejiang University,Zhejiang Hangzhou 315800,China;Jinhua Academy of Agricultural Sciences,Zhejiang Jinhua 321017,China)
出处
《中国畜牧杂志》
CAS
北大核心
2020年第7期52-58,共7页
Chinese Journal of Animal Science
基金
浙江省农业(畜禽)新品种选育重大科技专项(2016 C02054-1)。
