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数量性状基因座(QTL)效应的上位性互作作为影响遗传加性效应估计的遗传参数。

Epistasis interaction of QTL effects as a genetic parameter influencing estimation of the genetic additive effect.

机构信息

Department of Mathematical and Statistical Methods, Poznan University of Life Sciences, Poznan, Poland.

出版信息

Genet Mol Biol. 2013 Mar;36(1):93-100. doi: 10.1590/S1415-47572013000100013. Epub 2013 Mar 4.

Abstract

Epistasis, an additive-by-additive interaction between quantitative trait loci, has been defined as a deviation from the sum of independent effects of individual genes. Epistasis between QTLs assayed in populations segregating for an entire genome has been found at a frequency close to that expected by chance alone. Recently, epistatic effects have been considered by many researchers as important for complex traits. In order to understand the genetic control of complex traits, it is necessary to clarify additive-by-additive interactions among genes. Herein we compare estimates of a parameter connected with the additive gene action calculated on the basis of two models: a model excluding epistasis and a model with additive-by-additive interaction effects. In this paper two data sets were analysed: 1) 150 barley doubled haploid lines derived from the Steptoe × Morex cross, and 2) 145 DH lines of barley obtained from the Harrington × TR306 cross. The results showed that in cases when the effect of epistasis was different from zero, the coefficient of determination was larger for the model with epistasis than for the one excluding epistasis. These results indicate that epistatic interaction plays an important role in controlling the expression of complex traits.

摘要

上位性,一种数量性状位点之间的加性-加性相互作用,被定义为个体基因独立效应之和的偏差。在整个基因组分离的群体中检测到的 QTL 之间的上位性,其频率接近仅由机会引起的频率。最近,许多研究人员认为上位性效应对复杂性状很重要。为了理解复杂性状的遗传控制,有必要阐明基因之间的加性-加性相互作用。在此,我们比较了基于两个模型计算的与加性基因作用相关的一个参数的估计值:排除上位性的模型和具有加性-加性互作效应的模型。在本文中,我们分析了两个数据集:1)来自 Steptoe×Morex 杂交的 150 个大麦加倍单倍体系,2)来自 Harrington×TR306 杂交的 145 个大麦 DH 系。结果表明,在上位性效应不为零的情况下,具有上位性的模型的决定系数大于排除上位性的模型。这些结果表明,上位性互作在控制复杂性状的表达中起着重要作用。

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