基于SSR标记的谷子主要农艺性状关联位点检测及等位变异分析  

Associated Loci Detection and Elite Allelic Variations Analysis of Main Agronomic Traits in Foxtail Millet(Setaria italica L.) Based on SSR Markers

作　　者：李剑峰 张博 全建章[2] 王永芳[2] 张小梅[1] 赵渊 袁玺垒 贾小平[1] 董志平[2] LI JianFeng;ZHANG Bo;QUAN JianZhang;WANG YongFang;ZHANG XiaoMei;ZHAO Yuan;YUAN XiLei;JIA XiaoPing;DONG ZhiPing(College of Agriculture,Henan University of Science and Technology,Luoyang 471023,Henan;Institute of Millet,Hebei Academy of Agriculture and Forestry Sciences/National Millet Improvement Center,Shijiazhuang 050035)

机构地区：[1]河南科技大学农学院,河南洛阳471023 [2]河北省农林科学院谷子研究所/国家谷子改良中心,石家庄050035

出　　处：《中国农业科学》2019年第24期4453-4469,I0001-I0003,共20页Scientia Agricultura Sinica

基　　金：国家自然科学基金(31471569);国家“十二五”科技支撑计划(2011BAD06B01-1)

摘　　要：【目的】通过在海南省乐东县、河南省洛阳市、吉林省吉林市和公主岭市4个不同地理环境调查谷子10个主要性状,进行SSR标记与性状的关联分析,获得单一环境特异表达位点及多个环境共同表达位点,发掘优异等位变异,探究谷子可能的生态适应性形成机制,为开展谷子分子辅助选择育种奠定基础。【方法】连续2年在吉林省吉林市和公主岭市、河南省洛阳市、海南省乐东县调查102份谷子资源株高、穗长、叶片数、穗粗、抽穗期、穗码数、码粒数、穗重、穗粒重、千粒重10个主要农艺性状的基础上,首先利用SPSS19.0软件对每个地理环境进行性状间相关性分析,再用70个多态性SSR标记对谷子资源进行基因型鉴定,分析102份谷子资源的遗传多样性和群体遗传结构,最后用TASSEL5.0软件进行标记间的连锁不平衡分析,并用GLM和MLM 2种模型开展分子标记与表型性状的关联分析。【结果】除了千粒重,其余9个性状间在4个地理环境普遍存在显著或极显著正相关,千粒重只在在吉林市、公主岭市、洛阳市3个环境与穗粒重、株高、穗长、穗重呈显著或极显著正相关,在海南乐东县与其他9个性状没有显著相关性;70对SSR引物共检测到397个等位基因,平均每个标记的观测等位基因数、有效等位基因数、期望杂合度、Shannon指数分别为6、2.24、0.4637、0.7738;遗传多样性和群体结构分析均将102份谷子材料分为4个群,来自河南的谷子材料散布在4个群中,表现较丰富的遗传多样性;70对SSR标记间连锁不平衡分析未发现明显的连锁不平衡结构;GLM、MLM 2种模型共检测到10个关联标记,结合等位效应分析确定b115、MPGC13、b227、b194、p56在吉林市、公主岭市2个环境与穗重、穗长、叶片数、抽穗期4个性状关联,sigms9034、b125在洛阳市与穗长、穗码数关联,P18和p59在乐东县与穗重关联,p6在吉林市、公主岭市和�【Objective】Through the investigation of 10 major traits in foxtail millet at Ledong,Hainan province,Luoyang,Henan province,Jilin and Gongzhuling,Jilin province,totally four different geographical environments,association analysis between SSR markers and the ten traits was performed to obtain loci expressed in single environment or multiple environments,excavate elite allelic variations,explore the probable mechanism forming ecological adaptation and provide foundation for launching molecular-assistant selection breeding in foxtail millet.【Method】Based on the survey of ten traits(plant height,panicle length,number of leaves,panicle diameter,heading stage,spikelet number,grain number per branch,spike weight,grain weight per panicle and 1000-grain weight)from 102 foxtail millet varieties at Jilin and Gongzhuling,Jilin province,Luoyang,Henan province and Ledong,Hainan province for two consecutive years,correlation analysis of ten traits at each geographical environment was first performed by SPSS 19.0 software,then the 102 foxtail millet varieties were genotyped by 70 polymorphic SSR markers,and further genetic diversity and population genetic structure of these varieties were analyzed.Finally,linkage disequilibrium analysis among markers and association analysis between molecular markers and phenotypic traits were carried out by GLM and MLM models of TASSEL 5.0 software.【Result】There existed significant or very significant positive correlations among most of the nine agronomic traits except 1000-grain weight across four geographical environments.Only significant or very significant positive correlations were found between 1000-grain weight and grain weight per panicle,plant height,panicle length,spike weight at Jilin,Gongzhuling and Luoyang,no significant correlations were found between 1000-grain weight and other nine traits at Ledong environment.Totally 397 alleles were detected in 70 pairs of SSR primers,giving average observed allele number,effective allele number,expected heterozygosity,Shannon inde

关 键 词：谷子 SSR 地理环境 农艺性状 关联分析 

分 类 号：S515[农业科学—作物学]