SNP分子标记结合表型性状鉴别小豆种质资源
Identification of adzuki bean(Vigna angularis)germplasm resources based on SNP molecular markers and phenotypic traits
张明媛 1冷淼 1孙伟娜 1柯希望 1徐晓丹 1左豫虎1
作者信息
- 1. 黑龙江省作物有害生物互作生物学及生态防控重点实验室/国家杂粮工程技术研究中心/黑龙江八一农垦大学,黑龙江 大庆 163319
- 折叠
摘要
为建立科学可靠的小豆种质资源鉴定方法,本研究利用单核苷酸多态性(SNP)分子标记,对 102 份小豆种质资源进行聚类分析并构建指纹图谱,同时结合质量性状对小豆种质资源进行鉴定.结果发现,在 102 份小豆种质资源中 26 个SNP分子标记表现出多态性,平均多态信息含量为 0.28.61 份小豆种质资源的SNP指纹图谱具有唯一性,可以被准确鉴别,剩余 41 份小豆种质资源的SNP指纹图谱不唯一.进一步对 102 份小豆种质资源的6 个质量性状进行遗传变异分析,平均遗传多样性指数为1.224 5,6 个性状均具有丰富的多态性.结合以上 6 个性状,可对SNP指纹图谱相同的种质资源进行进一步区分.本研究开发的SNP分子标记结合表型性状的鉴别方法,可为小豆种质资源遗传鉴定和科学利用奠定基础.
Abstract
In order to establish a scientific and reliable method for identification of adzuki bean[Vigna angularis(Willd)Ohwi&H.Ohashi]germplasm resources,102 adzuki bean germplasm resources were clustered and fingerprinted by sin-gle nucleotide polymorphism(SNP)molecular markers,at the same time,the germplasm resources of adzuki bean were identi-fied combined with qualitative traits.The results showed that 26 SNP molecular markers in 102 adzuki bean germplasm resources showed polymorphism,and the average polymorphism information content was 0.28.The SNP fingerprints of 61 adzuki bean germ-plasm resources were unique and could be accurately identified.The SNP fingerprints of the remaining 41 adzuki bean germplasm resources were not unique.The average genetic diversity index of six qualitative traits was 1.224 5 in 102 germplasm resources through further analysis of genetic variation,and all of the six traits were highly polymorphic.Combined with the above six traits,germplasm resources with the same SNP fingerprints can be further distinguished.The identification method of SNP molecular markers combined with phenotypic traits developed in this study can lay a foundation for genetic identification and scientific utilization of adzuki bean germplasm resources.
关键词
小豆/指纹图谱/质量性状/种质资源鉴定Key words
adzuki bean/fingerprint/qualitative traits/germplasm resource identification引用本文复制引用
基金项目
黑龙江八一农垦大学校启动计划项目(2031011068)
大庆市科学技术局指导项目(zd-2020-45)
出版年
2024
国家科技期刊平台
NSTL
万方数据