摘要
为分析山西大豆品种在产量及品质等重要性状方面与分子标记的关联位点,寻找优异等位变异,优化高产优质种质资源筛选的理论体系,以大豆自然群体为研究材料(该群体包含102份大豆品种,且均无直接亲缘关系),以59对SSR引物对群体进行遗传分析,并应用STRUCTURE2.3.2软件对群体结构进行分析,继而用Tassel2.1软件MLM模型对15个产量性状进行关联分析,发掘优异等位变异。结果表明,102个品种组成的群体可划分成4个亚群,这4个亚群分别包括14,30,16,42个品种,在群体中所占比例分别为13.60%,29.10%,15.90%和41.30%;在所检测的47个标记中,发现有8个位点与株高、株质量、主茎节数、有效分枝、主茎荚数、分枝荚数、瘪粒数、虫蚀数、蛋白含量和脂肪含量这10个性状关联,并发掘出Satt248-A129,Satt168-A226,Sat_299-A286和Sat_299-A286等优异的等位变异。
For analyzing association sites between yield, quality traits and SSR markers of soybean cultivars in Shanxi and seeking excellent allelic variations to optimize theoretical reference on selection of germplasm with high yield and outstanding quality, a natural soybean population was selected as the material tested, and the population included 102 soybean cultivars among which there were no di- rect kinship. Fifty-nine pairs of SSR primers were used for genetic analysis of the population. The software STRUCTURE2.3.2 was em- ployed for structure analysis of the population, and the MLM model based on software Tassel2.1 was utilized for association analysis be- tween fifteen traits and the markers, finding excellent alleles. The results showed that 102 materials of the population could be classified into 4 subgroups which included respectively 14, 30, 16 and 42 materials and accounted for respectively 13.60%, 29.10%, 15.90% and 41.30% of the population. Among the 47 markers, 8 sites were found to be associated with the ten traits including plant height, weight per plant, main stem node number, valid branch number, main stem pod number, branch pod number, shrunken seed number, pest-bitten seed number, protein content, and oil content. Additionally, the excellent alleles like Satt248-A129, Satt168-A226, Sat_299-A286, and Sat_299-A286 were found.
出处
《山西农业科学》
2015年第4期374-377,387,共5页
Journal of Shanxi Agricultural Sciences
基金
山西省科技攻关项目(20120311005-3)
山西省农业科技成果转化资金项目
山西农业大学科技创新基金项目(育种基金)(2006057)
关键词
大豆
自然群体
群体结构分析
关联分析
优异等位变异
soybean
natural population
population structure analysis
association analysis
excellent alleles
