利用EST-SSR标记分析绿豆农家种及育成品种的遗传多样性
Genetic Diversity Analysis of Landraces and Improved Varieties of Mung Bean by EST-SSR Markers
王月影 1范保杰 2曹志敏 2王彦 2苏秋竹 2张志肖 2王珅 2时会影 2沈颖超 2程须珍 3刘长友 2田静2
作者信息
- 1. 河北省农林科学院粮油作物研究所/河北省作物遗传育种实验室,050031,河北石家庄;中国农业科学院中国水稻研究所/水稻生物学国家重点实验室,310006,浙江杭州
- 2. 河北省农林科学院粮油作物研究所/河北省作物遗传育种实验室,050031,河北石家庄
- 3. 中国农业科学院作物科学研究所,100081,北京
- 折叠
摘要
利用覆盖绿豆11条染色体的16个EST-SSR标记,对来自我国15个不同省市的156份绿豆农家种和53份育成品种进行遗传多样性分析.结果表明,16个标记总共检测出57个等位变异位点,平均等位变异数3.56,有效等位变异数(Ne)1.89,Shannon信息指数(PIC)0.70.与育成品种相比,绿豆农家种的观测等位变异数、Ne、期望杂合度和PIC较高,表明农家种的遗传多样性高于育成品种.Structure分析可以将所有材料分为3个组群,组群内资源有按地理来源聚集的趋势,3个组群内种质间的平均遗传距离相差不大.利用UPGMA法进行聚类分析,可将所有参试绿豆材料分为A、B、C三大类群,类群A集中了大部分育成品种,类群B和C则以农家种为主.12个不同地理来源资源群体的遗传一致度介于0.4706～0.9627.
Abstract
We used 16 EST-SSR markers covering 11 chromosomes of mung bean genome to analyze the genetic diversity of 156 mung bean landraces and 53 improved mung bean varieties from 15 different provinces in China.The results showed that 16 EST-SSR markers detected a total of 57 alleles,with an average of 3.56 alleles per marker,and the average effective alleles number(Ne)was 1.89,the Shannon's information index(PIC)was 0.70.Compared with the improved mung bean varieties,the observed allele number,Ne,the expected heterozygosity and PIC of the landraces were higher,indicating that the genetic diversity of landraces was higher than that of the improved mung bean varieties.The Structure analysis divided all resources into three distinct groups.The resources in the group tend to gather according to geographical origin,and the average genetic distance between germplasms in the three groups had little difference.Using UPGMA method for cluster analysis,all the mung bean resources could be divided into group A,B and C.Group A concentrated most improved mung bean varieties,while group B and C were mainly landraces.The genetic consistency of 12 populations from different geographical sources ranged from 0.4706 to 0.9627.
关键词
绿豆/EST-SSR标记/种质资源/遗传多样性Key words
Mung bean/EST-SSR marker/Germplasm resources/Genetic diversity引用本文复制引用
基金项目
国家重点研发计划(2019YFD1000700)
国家重点研发计划(2019YFD1000702)
国家现代农业产业技术体系(CARS-08-G03)
河北省青年拔尖人才(2018)()
河北省重点研发计划(19226353D)
河北省现代农业产业技术体系(HBCT2018070203)
河北省农林科学院创新工程项目(2022KJCXZX-LYS-17)
出版年
2024
国家科技期刊平台
NSTL
万方数据