A new approach to dissecting complex traits by combining quantitative trait transcript (QTT) mapping and diallel cross analysis  

作　　者：YANG DaiGang YE ChengYin MA XiongFeng ZHU ZhiHong ZHOU XiaoJian WANG HaiFeng MENG QingQin PEI XiaoYu YU ShuXun ZHU Jun 

机构地区：[1]Cotton Research Institute,Chinese Academy of Agricultural Sciences,State Key Laboratory of Cotton Biology,Anyang 455000,China [2]Department of Agronomy,Zhejiang University,Hangzhou 310058,China

出　　处：《Chinese Science Bulletin》2012年第21期2695-2700,共6页

基　　金：supported by the National Basic Research Program of China(2011CB109306);the National High Technology Research and Development Program of China(2009ZX08009-004B,2011AA10A102);the CNTC(110200701023);the YNTC(08A05);the earmearked fund for Modern Agro-industry Technology Reasearch System(CARS-18-05)

摘　　要：A promising way to uncover the genetic architectures underlying complex traits may lie in the ability to recognize the genetic variants and expression transcripts that are responsible for the traits' inheritance.However,statistical methods capable of investigating the association between the inheritance of a quantitative trait and expression transcripts are still limited.In this study,we described a two-step approach that we developed to evaluate the contribution of expression transcripts to the inheritance of a complex trait.First,a mixed linear model approach was applied to detect significant trait-associated differentially expressed transcripts.Then,conditional analysis were used to predict the contribution of the differentially expressed genes to a target trait.Diallel cross data of cotton was used to test the application of the approach.We proposed that the detected differentially expressed transcripts with a strong impact on the target trait could be used as intermediates for screening lines to improve the traits in plant and animal breeding programs.It can benefit the discovery of the genetic mechanisms underlying complex traits.A promising way to uncover the genetic architectures underlying complex traits may lie in the ability to recognize the genetic variants and expression transcripts that are responsible for the traits’ inheritance.However,statistical methods capable of investigating the association between the inheritance of a quantitative trait and expression transcripts are still limited.In this study,we described a two-step approach that we developed to evaluate the contribution of expression transcripts to the inheritance of a complex trait.First,a mixed linear model approach was applied to detect significant trait-associated differentially expressed transcripts.Then,conditional analysis were used to predict the contribution of the differentially expressed genes to a target trait.Diallel cross data of cotton was used to test the application of the approach.We proposed that the detected differentially expressed transcripts with a strong impact on the target trait could be used as intermediates for screening lines to improve the traits in plant and animal breeding programs.It can benefit the discovery of the genetic mechanisms underlying complex traits.

关 键 词：双列杂交分析 数量性状 成绩 差异表达基因 映射 解剖 混合线性模型 遗传变异 

分 类 号：Q343[生物学—遗传学]