摘要
关联分析是一种利用连锁不平衡(LD)检测自然群体中基因位点及其等位变异,并将等位基因变异与目标性状联系起来的分析方法。本研究利用自主开发的55个EST-SSR标记对112份茶树品种(系)进行了基因分型。在EST-SSR位点连锁不平衡和供试材料群体结构分析的基础上,通过关联分析共鉴定出5个与表型性状显著关联的EST-SSR标记(P<0.01),其中标记CS298、CS317、CS84分别与一芽二叶百芽重(BW)、叶片长度(LL)和茶多酚含量(TP)显著关联,对表型变异的解释率分别为0.11、0.15和0.35;标记CS330和CS338均与咖啡碱含量(CAF)显著关联,对表型变异的解释率分别为0.14和0.15。
Association analysis is an approach to identify the relationship of molecular markers or candidate genes with traits in a given population based on linkage disequilibrium (LD). In this study 55 EST-SSR markers developed independently were used for genotyping of 112 clonal tea cultivars. LD of pairwise loci and population structure were firstly analyzed, then association analysis between EST-SSR markers and 7 penotypic traits were performed using TASSEL GLM. The different degrees of LD were detected among 55 pairwise EST-SSR loci. Genetic structure analysis showed that the total of 112 tea cultivars can be classified into two sub-populations. Five EST-SSR markers associated with phenotypic traits were screened out at the level of P〈0.01. Three Markers CS298, CS317 and CS84 were associated with the weight of 100 shoots with one bud and two leaves (BW), leaf length (LL) and content of tea polyphenol, and they could explain phenotypic variation with 0.11, 0.15 and 0.35, respectively. Two Markers CS330 and CS338 were both detected association with content of caffeine (CAF), and they could explain phenotypic variation with 0.14 and 0.15, respecitvely.
出处
《茶叶科学》
CAS
CSCD
北大核心
2010年第1期45-51,共7页
Journal of Tea Science
基金
国家"863"计划(2006AA10Z171)
国家农业(茶叶)产业技术体系
公益性行业(农业)科研专项(3-35)
浙江省科技计划课题(2008C32002)资助
关键词
茶树
EST-SSR
关联分析
连锁不平衡
群体结构
tea(Camellia sinensis), EST-SSR, association analysis, linkage disequilibrium, population structure