Department of Mathematical and Statistical Methods, Poznań University of Life Sciences, Wojska Polskiego 28, 60-637 Poznań, Poland.
J Theor Biol. 2012 Sep 7;308:20-4. doi: 10.1016/j.jtbi.2012.05.018. Epub 2012 May 30.
Additive-by-additive epistasis plays an important role in the genetic architecture of complex traits. The parameter connected with the additive-by-additive interaction can influence decisions concerning usefulness of the breeding material for the generation of new genotypes with characteristics improved over the parental forms. This study presents comparisons of two estimation methods of additive-by-additive interactions of QTL effects by the Monte Carlo simulation study. In the first method we assume that we observed only the plant phenotype, while in the second method we have additional information from the molecular marker observations. The obtained results show that the additive-by-additive interaction effect calculated on the basis of the marker observations is always smaller than the total additive-by-additive interaction effect obtained from phenotypic observations only. The lack of influence of the distance between markers and the number of linkage groups on the estimation of effects of additive-by-additive epistasis interaction genes by the two methods shows that both these methods may be used for different genetic maps and for different plant species.
加性-加性上位性在复杂性状的遗传结构中起着重要作用。与加性-加性互作相关的参数可以影响对繁殖材料的利用决策，以便生成具有优于亲本形式的特征的新基因型。本研究通过蒙特卡罗模拟研究比较了两种 QTL 效应加性-加性互作的估计方法。在第一种方法中，我们假设只观察了植物表型，而在第二种方法中，我们有来自分子标记观察的额外信息。所得结果表明，基于标记观察计算的加性-加性互作效应总是小于仅从表型观察获得的总加性-加性互作效应。两种方法中，标记间距离和连锁群数量对加性-加性上位性互作基因效应估计的影响缺失表明，这两种方法都可用于不同的遗传图谱和不同的植物物种。
