浙江农业学报 ›› 2021, Vol. 33 ›› Issue (9): 1565-1580.DOI: 10.3969/j.issn.1004-1524.2021.09.01

• 作物科学 • 上一篇    下一篇

基于分子标记的江西省芝麻地方种质遗传多样性分析

王郅琪1,2(), 孙建2, 梁俊超2, 赵云燕1,2, 颜廷献2, 颜小文2, 危文亮1,*(), 乐美旺2,*()   

  1. 1.长江大学 农学院,湖北 荆州 434025
    2.江西省农业科学院 作物研究所/江西省油料作物生物学重点实验室/国家油料改良中心南昌分中心,江西 南昌 330200
  • 收稿日期:2021-05-18 出版日期:2021-09-25 发布日期:2021-10-09
  • 通讯作者: 危文亮,乐美旺
  • 作者简介:乐美旺,E-mail: mwyuecarl@163.com
    * 危文亮,E-mail: whwenliang@163.com;
    王郅琪(1994—),女,山西朔州人,硕士研究生,研究方向为芝麻种质资源。E-mail: 2609757974@qq.com
  • 基金资助:
    国家现代农业产业技术体系(CARS-14);第三次全国农作物种质资源普查与收集行动(111721301354052138)

Study on genetic diversity of sesame germplasm in Jiangxi Province based on molecular markers

WANG Zhiqi1,2(), SUN Jian2, LIANG Junchao2, ZHAO Yunyan1,2, YAN Tingxian2, YAN Xiaowen2, WEI Wenliang1,*(), LE Meiwang2,*()   

  1. 1. College of Agriculture, Yangtze University, Jingzhou 434025, China
    2. Jiangxi Province Key Laboratory of Oilcrops Biology/Nanchang Branch of National Center of Oilcrops Improvement/Crops Research Institute, Jiangxi Academy of Agricultural Sciences, Nanchang 330200, China
  • Received:2021-05-18 Online:2021-09-25 Published:2021-10-09
  • Contact: WEI Wenliang,LE Meiwang

摘要:

为进一步评价“第三次全国农作物种质资源普查与收集行动”中江西收集的132份芝麻地方种质资源的遗传多样性,明确其遗传基础和群体分类特点。利用筛选获得的28对简单重复序列(simple sequence repeat,SSR)引物和26对相关序列扩增多态性(sequence-related amplified polymorphism,SRAP)引物组合对132份江西芝麻地方种质进行遗传多样性研究。结果显示,28对SSR引物共扩增DNA条带265条,其中,多态性条带221条,比例为83.40%,平均每对引物扩增的DNA条带和多态性条带分别为9.46条和7.89条。26对SRAP引物组合扩增得到DNA条带和多态性条带分别为601条和268条,多态性比例为44.59%,每对引物可扩增9~36条DNA条带和2~23条多态性条带,平均每对引物扩增的多态性条带为10.31条。132份种质的遗传相似系数为0.598 2~0.960 7,平均为0.813 5,可见总体的遗传多样性不丰富。6个不同地理区域的芝麻遗传相似系数从北至南呈逐渐下降趋势,赣南区域的地方种质遗传多样性较赣北区域丰富;不同粒色类型比较结果显示,其他粒色芝麻类型(黄色、褐色、黄褐色、红褐色等)的遗传多样性最丰富,其次是白芝麻类型和黑芝麻类型。聚类分析结果表明,来源不同的芝麻种质呈区域性聚集特点,种质间的遗传相似性与地理分布距离有一定的关联,来自赣北和赣东的芝麻种质资源因在亲缘关系上更近而被聚为一类,其余区域聚为一类,这与总体聚类结果基本一致。不同粒色类型中,区域来源不同的种质均相互交错,其聚类结果与地理来源无直接关联。在今后芝麻种质收集工作中,应注重赣南与其他粒色种质的利用,扩展江西乃至我国芝麻品种遗传基础。

关键词: 芝麻, 种质资源, 遗传多样性, 分子标记, 聚类分析

Abstract:

To further evaluate the genetic diversity of 132 sesame germplasm in Jiangxi, which were collected under support of the project of “the Third National Campaign of Crop Germplasm Census and Collection”, and to clarify its genetic basis and population classification characteristics. In this study, 28 simple sequence repeat (SSR) primer pairs and 26 combinations of sequence-related amplified polymorphism (SRAP) primers were used to determine diversity and population classification among 132 sesame genotypes. The results showed that a total of 265 DNA bands were amplified by 28 SSR primer pairs, of which 221 were polymorphic bands, resulting polymorphic ratio of 83.40%, and total DNA bands and polymorphic bands amplified by each primer pair averaged 9.46 and 7.89, respectively. A total of 601 DNA bands and 268 polymorphic bands were amplified by 26 combinations of SRAP primers, resulting polymorphic ratio of 44.59%, and each primer pair amplified 9-36 DNA bands and 2-23 polymorphic bands, the polymorphic bands amplified by each primer pair averaged 10.31. Genetic similarity (GS) of 132 germplasm was between 0.598 2 and 0.960 7, with an average of 0.813 5, which showed that the overall genetic diversity was not abundant. The GS of six different geographic regions showed a gradual decline from north to south of Jiangxi Province. The genetic diversity of local germplasm in southern Jiangxi was more abundant than that in northern Jiangxi. Among different seed coat color groups, the other seed coat colors group (yellow, brown, yellowish-brown, reddish brown, etc) contained the most abundant genetic variation, followed by white group and black group. The results of cluster analysis showed that sesame accessions with similar origin tended to cluster together, indicating a correlationship between genetic similarity and geographical origin of sesame landraces in Jiangxi. Sesame germplasm resources from northern Jiangxi and eastern Jiangxi were grouped into one cluster, which revealed their closer relationship, while the remaining resources from each of the other regions were clustered into one group, which was basically consistent with the overall clustering results. The resources with different origins from three groups divided by seed color were interlaced with each other group, and their clustering results were not directly related to geographic origin. In the future collection of sesame germplasm work, we should pay attention to the utilization of southern Jiangxi germplasm and other seed-color germplasm to expand the genetic basis of sesame varieties in Jiangxi and even in China.

Key words: sesame, germplasm, genetic diversity, molecular marker, cluster analysis

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