摘要
为探寻与大豆油份含量、蛋白含量相关的关键位点,本研究选取中国东北地区92份大豆主栽品种及常用种质资源品种群体基于蛋白含量和油份含量的Meta分析,进行基于数学模型的类群划分评价,估测样本群体的结构,应用简单线性模型分析与大豆油份含量、蛋白含量相关的的位点。结果表明,通过多次迭代测试,当K=5时,即该资源群体可以分为5个亚群时,为最稳定的分类结果,并在显著水平下(p<0.05)贡献率大于1%的标记中,得到与大豆油份含量相关标记有Sat_412,Sat_195,Satt317,Sat_187,Sat_195,Satt255,Satt713,Satt468,Satt267,Satt686,Sat_294和AZ302047,对油分含量的总贡献率为39.54%。蛋白质含量相关标记有Satt683,Sat_311,Satt578,Satt181,Satt317,Satt700,Satt713,Satt255,Sat_242和Satt720对蛋白质含量总贡献率为48.39%。这些重要的标记位点为大豆油份含量和蛋白含量的分子辅助育种提供重要基础。
In order to develop the key association loci for soybean oil and protein content,ninety- two soybean cultivars or germplasm of China Northeast area were selected to be analyzed for oil and protein content based on Meta,and to be analyzed and estimated for the population structure based on mathematic model. The loci associated with oil and content were analyzed by employing the general linear model. The results showed that the population was divided into 5 sub- population when K value was 5 by multiple sample test. The oil content associated markers with contribution 1% included Sat_412,Sat_195,Satt317,Sat_187,Sat_195,Satt255,Satt713,Satt468, Satt267,Satt686,Sat_294,AZ302047 and contributed to oil content with a total of 39. 54% at p 0. 05 significant level. The protein content associated markers include Satt683,Sat_311,Satt578,Satt181,Satt317,Satt700, Satt713,Satt255,Sat_242 and Satt720 with a total of 48. 39% contribution. These key loci could be used for marker assisted selection for soybean oil and protein content.
出处
《中国油料作物学报》
CAS
CSCD
北大核心
2014年第2期168-174,共7页
Chinese Journal of Oil Crop Sciences
基金
黑龙江省教育厅新世纪优秀人才项目(1252-NCET-004)
黑龙江省自然科学基金重点项目(ZD201213)
教育部新世纪优秀人才支持计划(NECT-1207-01)
国家863计划(2013AA102602)
关键词
大豆
油份含量
蛋白含量
关联分析
Soybean
Oil content
Protein content
Association analysis
