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作 者:詹世雄[1,2] 郑奕雄[3] 刘冠明[3] 张平湖[3] 杨灵[3] 庄东红[1,2]
机构地区:[1]韩山师范学院,广东潮州521041 [2]汕头大学生物系,广东汕头515063 [3]仲恺农业工程学院农学院,广东广州520225
出 处:《中国油料作物学报》2014年第2期269-274,共6页Chinese Journal of Oil Crop Sciences
基 金:国家农业科技成果转化资金(05EFN214400208);广东省科技计划(2010A020507001-79);仲恺农业工程学院校级科研基金(G3100044)
摘 要:从212对SSR标记引物中筛选出48对引物,对63份花生品种进行遗传多样性分析,共得到251个等位变异,变异范围为2~13个,平均每个标记位点有5.23个变异;48个SSR标记的多态性信息含量为0.252~0.873,平均为0.647;63份材料的遗传多样性指数为0.508~2.243,平均值为1.272;品种间的遗传相似系数在0.657~0.960之间,不同类型的花生品种间的遗传相似性较小,不同来源花生品种间的亲缘关系也较远;聚类分析结果表明,63个花生品种在遗传相似系数为0.74处分为4大类,聚类分析结果与传统的花生分类结果吻合。In this study,48 SSR markers were used to assess the genetic variation of 63 peanut cultivars. The results showed that total 251 polymorphic alleles were detected,and the number of polymorphic fragments per marker ranged from 2 to 13 with an average of 5. 23. The genetic diversity index ranged from 0. 508 to 2. 243 with an average of 1. 272. Polymorphism information content( PIC) ranged from 0. 252 to 0. 873 with an average of 0. 647 per primer pairs. Genetic similarity coefficients( GS) ranged from 0. 657 to 0. 960,GS were lower among different botanical types,and genetic relationship was more distant among different origins. Cluster analysis was performed with the GS and the UPGMA method. 63 cultivars were divided into 4 groups at the threshold of 0. 74. The result of clustering analysis supported the conventional classification.
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