Changes in Variance Components of Flanking Marker Genotypes Under Varying Selection Intensities

WANG Hui , CHEN Yao-Sheng
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Abstract

Selection is practically ubiquitous during marker-QTL linkage analysis with an experimental population. Thus, it is necessary to investigate the impacts of selection upon linkage analyses in order to obtain unbiased estimates of QTL position and effect. In this article, by exploiting flanking markers through the widely applied half-sib design, we have developed the structures of three variance components, i.e., variance component between marker genotypes, polygenic variance component and recombinant variance component within marker genotypes. Changes in these variance components under varying selection intensities were investigated in this study to formulate the effects of selection on various variance components. Results showed clearly that all variance components presented were quite sensitive to changes in selection intensity. As selection intensity increased, all variance components declined by differing extents in a quadratic fashion. Comparatively speaking, the variance between marker genotypes decreased most drastically, followed by the polygenic variance within marker genotypes and then the recombinant variance within marker genotypes, which suggested a decrease of power for QTL linkage analysis. Therefore, steps should be taken to avoid as much as possible the presence of selection in real populations, so as to further eliminate the negative effects of selection on QTL linkage analysis.

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不同选择强度下侧翼标记基因型方差组成的变化
在与实验群体的标记- qtl连锁分析中,选择实际上是普遍存在的。因此,有必要研究选择对连锁分析的影响,以获得QTL位置和效应的无偏估计。本文通过广泛应用的半同胞设计,利用侧翼标记,构建了标记基因型间方差、多基因方差和标记基因型内重组方差三种方差成分的结构。本研究考察了不同选择强度下这些方差成分的变化,以阐明选择对各方差成分的影响。结果表明,各变异分量对选择强度的变化非常敏感。随着选择强度的增加,所有方差成分都以二次型的方式有不同程度的下降。相对而言,标记基因型间的差异减小幅度最大,其次是标记基因型内的多基因差异,然后是标记基因型内的重组基因差异,说明QTL连锁分析的效力降低。因此,在实际群体中应尽量避免选择的存在,从而进一步消除选择对QTL连锁分析的负面影响。
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