生物技术通报

• 技术与方法 •    

基于SV标记的猕猴桃种质资源遗传多样性分析及DNA分子身份证构建

耿远来1, 张颖梓1,2, 赵丹晨1, 谭伟双1, 陈晓妮1, 王运生2, 史斌斌3, 唐冬梅3, 李大志1,2(), 周嘉3,4()   

  1. 1.湖南农业大学园艺学院,长沙 410128
    2.岳麓山实验室果树品种创制中心,长沙 410128
    3.贵州省农业科学院贵州省果树科学研究所,贵阳 550006
    4.贵州省特色园艺作物分子育种全省重点实验室,贵阳 550006
  • 收稿日期:2026-04-08 出版日期:2026-08-20
  • 通讯作者: 周嘉zhoujia4301@163.com
    李大志ldazhi@163.com
  • 基金资助:
    贵州省科技支撑计划项目(黔科合支撑[2023]一般045),贵州省特色园艺作物分子育种全省重点实验室(黔科合平台ZSYS[2025]027);国家现代农业产业技术体系项目(CARS-26)

Genetic Diversity Analysis and DNA Molecular ID Construction in Kiwifruit Germplasm Resources Based on SV Markers

GENG Yuan-lai1, ZHANG Ying-zi1,2, ZHAO Dan-chen1, TAN Wei-shuang1, CHEN Xiao-ni1, WANG Yun-sheng2, SHI Bin-bin3, TANG Dong-mei3, LI Da-zhi1,2(), ZHOU Jia3,4()   

  1. 1.College of Horticulture, Hunan Agricultural University, Changsha 410128
    2.Yuelushan Laboratory, Pomology Variety Innovation Center, Changsha 410128
    3.Guizhou Institute of Pomology Science, Guizhou Academy of Agricultural Sciences, Guiyang 550006
    4.Guizhou Key Laboratory of Molecular Breeding for Characteristic Horticultural Crops, Guiyang 550006
  • Received:2026-04-08 Published:2026-08-20

摘要:

目的 猕猴桃作为重要的经济果树,其产业高质量发展长期受品种混乱、同物异名及侵权现象制约,亟需建立一套精准、高效的种质资源遗传鉴定技术体系。 方法 系统收集贵州、江西、重庆等地79份猕猴桃种质资源,包括野生种质36份和栽培品种43份。基于泛基因组及重测序数据,开发结构变异(structural variants, SV)分子标记,开展遗传聚类分析,并构建DNA指纹图谱与分子身份证。 结果 从50个SV位点对应的标记引物中,经初步筛选与扩大材料验证,获得5对高多态性核心SV引物。利用这5对引物组合,可有效区分77份供试种质,鉴别率达到97.47%。基于扩增基因型数据构建的二元(0/1)矩阵,绘制了供试材料的DNA指纹图谱,并进一步为每份种质生成了10位数字的专属分子身份证。UPGMA聚类分析显示,供试材料遗传多样性丰富,聚类结果与现有猕猴桃植物学分类基本一致。 结论 开发的SV标记可高效应用于猕猴桃种质资源遗传多样性分析与品种精准鉴定。

关键词: 猕猴桃, SV标记, 遗传多样性, DNA指纹图谱, 分子身份证

Abstract:

Objective Kiwifruit is an important economic fruit tree; however, the high-quality development of its industry has long been constrained by variety confusion, synonymy, and infringement. Hence, there is an urgent need to establish a precise and efficient genetic identification technology system for germplasm resources. Methods A total of 79 kiwifruit germplasm resources, including 36 wild accessions and 43 cultivated varieties, were systematically collected from Guizhou, Jiangxi, and Chongqing. Based on pan-genomic and resequencing data, SV (structural variants) molecular markers were developed, genetic cluster analysis was performed, and DNA fingerprints and molecular IDs were constructed. Results From the primer pairs corresponding to 50 SV loci, five core SV primer pairs with high polymorphism were obtained through preliminary screening and expanded validation. Using these five primer combinations, 77 tested germplasms could be effectively distinguished, achieving an identification rate of 97.47%. Based on the amplified genotype data, a binary (0/1) matrix was constructed to generate DNA fingerprints for the tested materials, and a unique 10-digit molecular ID was further assigned to each accession. UPGMA cluster analysis revealed rich genetic diversity among the tested materials, and the clustering results were generally consistent with the existing botanical classification of kiwifruit. Conclusion The developed SV markers can be efficiently applied to genetic diversity analysis and accurate identification of kiwifruit germplasm resources.

Key words: kiwifruit, SV markers, genetic diversity, DNA fingerprinting, molecular ID