摘要
为探究收集于国内外不同番茄种质资源的亲缘关系,选用48对SSR引物856份番茄材料进行遗传多样性及群体结构分析。结果显示,46对多态性SSR标记在856份番茄材料中共检测到228个等位位点,平均每个标记检测到4.957个等位位点;各位点Shannon’s多样性指数和基因多样性平均值分别为0.687和0.383;多态性信息含量指数(polymorphism information content,PIC)平均值为0.335,说明检测的材料具有一定的遗传多样性。根据番茄果实大小将其分为3大类群,野生番茄(7份)、樱桃番茄(207份)及栽培型番茄(642份)三个类群;通过群体结构分析将856份材料划分为4个类群,两种类群划分有相似的结果。本研究为番茄种质资源的有效利用及核心种质构建提供了理论基础。
In order to explore the genetic relationship between different tomato germplasm resources collected from China and abroad,48 pairs of SSR primers were used to analyze the genetic diversity and population structure of 856tomato accessions.The results showed that a total of 228 alleles were detected by 46 polymorphic SSR markers in 856 tomato accessions,with an average of 4.957 alleles detected per marker.The average values of Shannon’s diversity index and gene diversity were 0.687 and 0.383,respectively.The mean value of polymorphism information content index(PIC)is 0.335,indicating that the detected material has a certain degree of genetic diversity.According to the fruit types of tomato,it was divided into three groups:wild tomato(7 accessions),cherry tomato(207 accessions)and cultivated tomato(642 accessions).By analyzing the population structure,856 accessions can be divided into 4 subgroups,and the two groups had similar results.This study provided a theoretical basis for the effective utilization of tomato germplasm resources and the construction of core germplasm.
作者
杨亮
李菊
李志
苗明军
王培
刘欢
李跃建
常伟
Yang Liang;Li Ju;Li Zhi;Miao Mingjun;Wang Pei;Liu Huan;Li Yuejian;Chang Wei(Key Laboratory of Biology and Genetic Improvement of Horticultural Crops in Southwest Region,Ministry of Agriculture and Rural Affairs of the Peo-ple's Republic of China,Vegetable Germplasm Innovation and Variety Improvement Key Laboratory of Sichuan Province,Horticulture Research Insti-tute,Sichuan Academy of Agricultural Sciences,Chengdu,610066)
出处
《分子植物育种》
CAS
北大核心
2022年第22期7511-7521,共11页
Molecular Plant Breeding
基金
国家现代农业产业技术体系四川省蔬菜创新团队项目[川农函(2019)472号]
四川省科技计划项目(2019YJ-0601,2021YFYZ0022)
四川省农业科学院前沿学科研究项目(2019QYXK004)共同资助。
