湖北农业科学 ›› 2025, Vol. 64 ›› Issue (9): 120-125.doi: 10.14088/j.cnki.issn0439-8114.2025.09.020

• 园艺·特产 • 上一篇    下一篇

基于SSR分子标记的17个草莓品种遗传多样性分析及指纹图谱构建

缑一杰, 杨振华, 张雯, 郭俊强   

  1. 陕西农林职业技术大学生物工程学院/陕西省草莓工程技术研究中心,陕西 杨凌 712100
  • 收稿日期:2025-04-10 出版日期:2025-09-25 发布日期:2025-10-28
  • 作者简介:缑一杰(1995-),女,陕西延安人,讲师,硕士,主要从事园艺学教学和草莓育种研究工作,(电话)18829355017(电子信箱)gouyijie1025@163.com。
  • 基金资助:
    杨凌职业技术学院重点科研项目(0300441); 陕西省教育厅科学研究计划项目-青年创新团队项目(23JP195); 2023年陕西省农业专项现代种业发展项目; 2024年农业科技创新暨农业关键核心技术攻关项目

Genetic diversity analysis and fingerprint construction of 17 strawberry varieties based on SSR molecular markers

GOU Yi-jie, YANG Zhen-hua, ZHANG Wen, GUO Jun-qiang   

  1. College of Bioengineering, Shaanxi A&F Technology University/Shaanxi Strawberry Engineering Technology Research Center, Yangling 712100, Shaanxi, China
  • Received:2025-04-10 Published:2025-09-25 Online:2025-10-28

摘要: 利用草莓基因组序列设计的35对SSR引物对17份草莓品种材料进行扩增分析。结果表明,共33对引物具有多态性,共获得239个条带,其中多态性条带为218条,多态性条带率为91.2%,不同引物扩增的多态性条带数为2~14个,平均为15.15个,各位点多态性信息含量(PIC)值为0.624 5~0.891 2,平均0.798 8。聚类分析结果显示,17份草莓品种的遗传距离为0.65~0.85,在遗传距离0.70处可将所有供试材料分为4个类群,分别包含11、2、2、2份材料。17份草莓品种指纹图谱库的构建为草莓品种鉴定提供了技术基础,研究结果可为草莓遗传育种及品种改良工作提供数据依据。

关键词: 草莓, SSR标记, 聚类分析, 指纹图谱, 品种鉴定

Abstract: Using 35 pairs of SSR primers designed based on the strawberry genome sequence, 17 strawberry varieties were amplified and analyzed. The results showed that 33 pairs of primers were polymorphic, yielding 239 bands, of which 218 were polymorphic, with a polymorphic band rate of 91.2%. The number of polymorphic bands amplified by different primers ranged from 2 to 14, with an average of 15.15. The polymorphism information content (PIC) values at each locus ranged from 0.624 5 to 0.891 2, with an average of 0.798 8. The cluster analysis results revealed that the genetic distances among the 17 strawberry varieties ranged from 0.65 to 0.85. At a genetic distance threshold of 0.70, all tested materials could be classified into four distinct groups, containing 11, 2, 2, and 2 accessions, respectively. The construction of a fingerprint database of 17 strawberry varieties provided a technical basis for the identification of strawberry varieties, and the results provided a data basis for genetic breeding and variety improvement in the strawberry.

Key words: strawberry, SSR marker, cluster analysis, fingerprints, variety identification

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