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基于InDel分子标记的20个水稻品种的籼粳属性分析 被引量:8

INDICA-JAPONICA COMPOSITION ANALYSIS OF 20 RICE VARIETIES BASE ON INDEL MOLECULAR MARKERS
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摘要 水稻品种的籼粳属性分析是培育高产优质杂交水稻亲本选择的重要依据之一。本研究以93-11与日本晴分别为籼粳稻参考标准,利用均匀分布于水稻基因组12条染色体并具有较高籼粳特异性的37对In Del分子标记,对20份水稻育种材料进行In Del标记的籼粳属性分析。结果表明:所选取的20份水稻材料中,有8份为典型籼稻,3份为典型粳稻,4份为偏籼类型,另有5份为偏粳类型。NTsys聚类分析结果显示,在遗传相似系数为0.43处,20份水稻材料被分为两大类群;在遗传相似数为0.70处,所有水稻材料则被分为4个类群。 Rice indica-japonica composition analysis is one of the important basis for selecting parents to foster high quality hybrid rice varieties. In this study, 93-11 and Nipponbare were used as reference standards of indica and japonica rice, the 37 InDel molecular markers which evenly distributed on 12 chromosomes of rice genome with high indica japonica specificity were used in the indica-japonica composition analysis of 20 rice varieties. Results showed that in the selected 20 rice varieties, 8 varieties were typical indica, 3 varieties were typical japonica, 4 varieties were partial indica type, 5 varieties were partial japonica type. NTsys clustering analysis results showed that 20 rice varieties were divided into two groups in the 0.43 genetic similarity coefficient, and all rice materials were divided into four groups in the 0.70 genetic similarity coefficient.
出处 《井冈山大学学报(自然科学版)》 2016年第6期100-106,共7页 Journal of Jinggangshan University (Natural Science)
基金 中国博士后面上资助项目(2015M571987) 国家自然科学基金项目(31460340) 江西省科技厅科技支撑项目(2015ACF60011) 江西省科技厅科技支撑计划项目(20112BBF60008) 江西省博士后研究人员科研项目择优资助项目(2015KY24) 江西省教育厅科技落地计划项目(KJLD12033)
关键词 籼粳分化 INDEL标记 水稻 indica-japonica differentiation InDel markers Oryza sativa
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