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基于SSR分子标记的68份柚类种质资源亲缘关系分析
Analysis of Genetic Relationship of 68 Pummelo Germplasm Resources Based on SSR Molecular Marker
【摘要】 [目的]用17对SSR引物对68份柚类种质资源进行遗传背景研究,推演其亲缘关系,为更好地利用这68份材料提供参考。[方法]17对SSR引物进行PCR扩增;用Power Marker V3.25软件计算观测等位变异数(Na)、有效等位变异数(Ne)、观测杂合度(Ho)、期望杂合度(He)、香农多样性指数(I)和引物多态信息含量(PIC);用Ntsys2.0计算材料间的遗传距离并进行聚类;用Structure2.3.4推导群体遗传结构。[结果]17对引物扩增出62条多态性条带,平均为3.647 0条。计算得出这62个多态性标记位点的平均等位变异数Na为3.470 6,平均有效等位变异数Ne为2.152 3,平均观测杂合度Ho为0.454 2。平均期望杂合度He和香农多样性指数I分别为0.481 0和0.848 2,多态信息含量(PIC)平均值为0.419 8。在遗传距离0.36处将材料分成5个类群,结构分析中将材料分成4个组群,聚类分析和结构分析结果基本一致。[结论]所选材料具有丰富的遗传多样性,聚类和结构分析的结果能直观地了解这68份材料的亲缘关系,并对其中可能的同物异名品种进行筛选。
【Abstract】 [Objective] 17 pairs of SSR primers were used to study the genetic background of 68 pummelo germplasm resources and deduced their genetic relationship,so as to provide reference for better use of these 68 materials. [Method] 17 PCR amplification was performed on SSR primers; Power Marker V3.25 software was used to calculate the observed allelic variance(Na),effective allelic variance(Ne),observed heterozygosity(Ho),expected heterozygosity(He),Shannon diversity index(I) and primer polymorphism information content(PIC); use Ntsys2.0 to calculate the genetic distance between materials and clustering; use Structure 2.3.4 to derive population genetic structure. [Result]The 17 pairs of primers amplified 62 polymorphic bands,with an average of 3.647 0 bands. It is calculated that the average allelic variance Na of the 62 polymorphic marker loci is 3.470 6,the average effective allelic variance Ne value is 2.152 3,and the average observed heterozygosity Ho value is 0.454 2. The average expected heterozygosity He value and Shannon diversity index I value are 0.481 0 and 0.848 2,respectively. The average PIC value of polymorphic information content is 0.419 8. The material was divided into 5 groups at the genetic distance of 0.36,and the material was divided into 4 groups in the structure analysis. The results of cluster analysis and structure analysis were basically the same. [Conclusion] The selected materials have rich genetic diversity,and the results of clustering and structural analysis can intuitively understand the genetic relationship of these 68 materials,and filter possible synonymous varieties among them.
- 【文献出处】 安徽农业科学 ,Journal of Anhui Agricultural Sciences , 编辑部邮箱 ,2021年04期
- 【分类号】S666.3
- 【被引频次】4
- 【下载频次】237