Melchinger A E, Utz H F, Schön C C
Institute of Plant Breeding, Seed Science, and Population Genetics, University of Hohenheim, 70599 Stuttgart, Germany.
Genetics. 2008 Apr;178(4):2265-74. doi: 10.1534/genetics.107.084871.
Interpretation of experimental results from quantitative trait loci (QTL) mapping studies on the predominant type of gene action can be severely affected by the choice of statistical model, experimental design, and provision of epistasis. In this study, we derive quantitative genetic expectations of (i) QTL effects obtained from one-dimensional genome scans with the triple testcross (TTC) design and (ii) pairwise interactions between marker loci using two-way analyses of variance (ANOVA) under the F(2)- and the F(infinity)-metric model. The theoretical results show that genetic expectations of QTL effects estimated with the TTC design are complex, comprising both main and epistatic effects, and that genetic expectations of two-way marker interactions are not straightforward extensions of effects estimated in one-dimensional scans. We also demonstrate that the TTC design can partially overcome the limitations of the design III in separating QTL main effects and their epistatic interactions in the analysis of heterosis and that dominance x additive epistatic interactions of individual QTL with the genetic background can be estimated with a one-dimensional genome scan. Furthermore, we present genetic expectations of variance components for the analysis of TTC progeny tested in a split-plot design, assuming digenic epistasis and arbitrary linkage.
数量性状基因座(QTL)定位研究中关于主要基因作用类型的实验结果解释,可能会受到统计模型选择、实验设计以及上位性情况的严重影响。在本研究中,我们推导了以下方面的数量遗传学预期:(i)通过三点测交(TTC)设计进行一维基因组扫描获得的QTL效应,以及(ii)在F(2)和F(∞)度量模型下,使用双向方差分析(ANOVA)对标记位点之间的成对相互作用。理论结果表明,用TTC设计估计的QTL效应的遗传学预期很复杂,包括主效应和上位效应,并且双向标记相互作用的遗传学预期并非一维扫描中估计效应的直接扩展。我们还证明,在杂种优势分析中,TTC设计可以部分克服设计III在分离QTL主效应及其上位相互作用方面的局限性,并且可以通过一维基因组扫描估计单个QTL与遗传背景的显性×加性上位相互作用。此外,假设存在双基因上位性和任意连锁,我们给出了在裂区设计中对TTC后代进行分析的方差成分的遗传学预期。