Min L, Yang R, Wang X, Wang B
Department of Animal Science, School of Agriculture and Biology, Shanghai Jiaotong University, Shanghai, PR China.
Heredity (Edinb). 2011 Jan;106(1):124-33. doi: 10.1038/hdy.2010.20. Epub 2010 Mar 24.
The dissection of the genetic architecture of quantitative traits, including the number and locations of quantitative trait loci (QTL) and their main and epistatic effects, has been an important topic in current QTL mapping. We extend the Bayesian model selection framework for mapping multiple epistatic QTL affecting continuous traits to dynamic traits in experimental crosses. The extension inherits the efficiency of Bayesian model selection and the flexibility of the Legendre polynomial model fitting to the change in genetic and environmental effects with time. We illustrate the proposed method by simultaneously detecting the main and epistatic QTLs for the growth of leaf age in a doubled-haploid population of rice. The behavior and performance of the method are also shown by computer simulation experiments. The results show that our method can more quickly identify interacting QTLs for dynamic traits in the models with many numbers of genetic effects, enhancing our understanding of genetic architecture for dynamic traits. Our proposed method can be treated as a general form of mapping QTL for continuous quantitative traits, being easier to extend to multiple traits and to a single trait with repeat records.
剖析数量性状的遗传结构，包括数量性状基因座（QTL）的数量和位置及其主效应和上位效应，一直是当前QTL定位中的一个重要课题。我们将用于定位影响连续性状的多个上位QTL的贝叶斯模型选择框架扩展到实验杂交中的动态性状。该扩展继承了贝叶斯模型选择的效率以及勒让德多项式模型拟合遗传和环境效应随时间变化的灵活性。我们通过在水稻加倍单倍体群体中同时检测叶龄生长的主QTL和上位QTL来说明所提出的方法。计算机模拟实验也展示了该方法的行为和性能。结果表明，我们的方法能够在具有许多遗传效应的模型中更快地识别动态性状的互作QTL，增强了我们对动态性状遗传结构的理解。我们提出的方法可被视为连续数量性状QTL定位的一般形式，更易于扩展到多个性状以及具有重复记录的单个性状。
