Framework for dissection of complex cytonuclear epistasis by a two-dimensional genome scan  

作　　者：TANG ZaiXiang HU ZhiQiu YANG ZeFeng YU Bo XU ChenWu 

机构地区：[1]Jiangsu Provincial Key Laboratory of Crop Genetics and Physiology,and Key Laboratory of Plant Functional Genomics of Ministry of Education,Yangzhou University,Yangzhou 225009,China [2]School of Public Health,Medical College of Soochow University,Suzhou 215123,China [3]Departments of Botany and Plant Sciences,University of California,Riverside,California 92521,USA

出　　处：《Chinese Science Bulletin》2012年第21期2675-2680,共6页

基　　金：supported by the National Basic Research Program of China(2011CB100106);the National Natural Science Foundation of China(30971846and31171187);the Vital Project of Natural Science of Universities in Jiangsu Province(09KJA210002) to C.Xu;from the National Natural Science Foundation of China(31100882) to Z.Tang

摘　　要：Epistasis between cytoplasmic and nuclear genes is the primary genetic component of complex quantitative traits.Genetic dissection of cytonuclear epistasis is fundamentally important to understand the genetic architecture of complex traits.In this study,a two-dimensional genome scan strategy was employed to evaluate the contribution of cytoplasm,quantitative trait loci (QTL),QTL×QTL interactions and QTL×QTL×cytoplasm interactions to the phenotypic variation.The p-value and parameter value for each genetic effect were calculated by multiple regression analysis.A stepwise approach was suggested to build confidence in candidate QTL on the basis of q-value estimation,false discovery rate calculation and Bonferroni adjustment.A fine-scale grid scan strategy was proposed for further analysis of peaks of interest.Plant height in maize was used as an example to illustrate the efficiency of the two-dimensional genome scan strategy.Epistasis between cytoplasmic and nuclear genes is the primary genetic component of complex quantitative traits.Genetic dissection of cytonuclear epistasis is fundamentally important to understand the genetic architecture of complex traits.In this study,a two-dimensional genome scan strategy was employed to evaluate the contribution of cytoplasm,quantitative trait loci （QTL）,QTL×QTL interactions and QTL×QTL×cytoplasm interactions to the phenotypic variation.The p-value and parameter value for each genetic effect were calculated by multiple regression analysis.A stepwise approach was suggested to build confidence in candidate QTL on the basis of q-value estimation,false discovery rate calculation and Bonferroni adjustment.A fine-scale grid scan strategy was proposed for further analysis of peaks of interest.Plant height in maize was used as an example to illustrate the efficiency of the two-dimensional genome scan strategy.

关 键 词：基因组扫描 细胞核 二维 解剖 数量性状位点 框架 遗传结构 扫描策略 

分 类 号：Q343[生物学—遗传学]