为挖掘与卡特兰(Cattleya)表型性状显著相关的分子标记，对160份卡特兰品种的63个DUS(特异性、一致性和稳定性)测试性状进行鉴定描述，用筛选得到的22对核心SSR引物对这些品种进行遗传多样性分析，并利用TASSEL2。1软件的一般线性模型(general linear model，GLM)和混合模型(mixed linear model，MLM)依次对供试品种8个主要观赏性状进行关联分析。研究结果显示，22对核心SSR引物共得到293个等位变异位点，变异幅度在3～28之间，PIC值平均为0。8531，平均Shannon's信息指数(Ⅰ)为2。3280。基于Nei's遗传距离进行聚类分析，可将160份卡特兰品种分为两大种群。GLM模型分析共检测到17个标记分别与4个性状相关联;MLM共检测到15个标记分别与6个性状相关联;共有15个标记被两种模型同时检测到与表型性状相关联。SSR42和SSR9这两个标记在两种模型中多次出现，与花长度、花颜色和中萼片性状等多个性状相关联，体现了"一因多效"现象。
Association Analysis of Cattleya DUS Test Characteristics and SSR Markers
In order to discover the molecular markers potentially associated to the phenotypic traits of Cattleya,63 DUS(Distinctness,Uniformity and Stability)characteristics of 160 Cattleya varieties were identified and described.The genetic diversity of these varieties were analyzed with 22 selected core SSR primers.Moreover,the General Linear Model(GLM)and Mixed Linear Model(MLM)ofTASSEL2.1 software were used to analyze the correlation of eight main ornamental characteristics and the core SSR primers of different Cattleya varieties.The results presented that 293 alleles were obtained by the 22 pairs of core primers in Cattleya varieties,with a variation range of 3-28.The average PIC value was 0.8531,with 2.3280 average Shannon's information index.The Cattleya varieties were divided into two main populations based on Nei's genetic distance cluster analysis.However,GLM model analysis identified 17 markers associated with four different characteristics,whereas 15 markers associated with six characteristics identified by MLM model analysis.Total of 15 loci were identified by both models to be associated with phenotypic characteristics of Cattleya.In addition,two markers SSR42 and SSR9 appeared repeatedly in both models,and may associated with several characteristics such as flower length,flower color,and mid sepal characteristics,reflecting the phenomenon of"one cause multiple effects".
NETL
NSTL
万方数据
