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在由双亲杂交产生的纯合系中进行截断选择的 QTL 作图。

QTL mapping under truncation selection in homozygous lines derived from biparental crosses.

机构信息

Institute of Plant Breeding, Seed Science, and Population Genetics, University of Hohenheim, Fruwirthstr. 21, 70599, Stuttgart, Germany.

出版信息

Theor Appl Genet. 2012 Feb;124(3):543-53. doi: 10.1007/s00122-011-1727-0. Epub 2011 Nov 1.

Abstract

In plant breeding, a large number of progenies that will be discarded later in the breeding process must be phenotyped and marker genotyped for conducting QTL analysis. In many cases, phenotypic preselection of lines could be useful. However, in QTL analyses even moderate preselection can have a significant effect on the power of QTL detection and estimation of effects of the target traits. In this study, we provide exact formulas for quantifying the change of allele frequencies within marker classes, expectations of marker contrasts and the variance of the marker contrasts under truncation selection, for the general case of two QTL affecting the target trait and a correlated trait. We focused on homozygous lines derived at random from biparental crosses. The effects of linkage between the marker and the QTL under selection as well as the effect of selection on a correlated trait can be quantified with the given formulas. Theoretical results clearly show that depending on the magnitude of QTL effects, high selection intensities can lead to a dramatic reduction in power of QTL detection and that approximations based on the infinitesimal model deviate substantially from exact solutions. The presented formulas are valuable for choosing appropriate selection intensity when performing QTL mapping experiments on the data on phenotypically preselected traits and enable the calculation and bias correction of the effects of QTL under selection. Application of our theory to experimental data revealed that selection-induced bias of QTL effects can be successfully corrected.

摘要

在植物育种中,大量在育种过程中随后将被丢弃的后代必须进行表型和标记基因型分析,以进行 QTL 分析。在许多情况下,对系谱进行表型预选可能是有用的。然而,在 QTL 分析中,即使是适度的预选也会对 QTL 检测的功效和目标性状效应的估计产生重大影响。在本研究中,我们针对一般情况下两个影响目标性状和相关性状的 QTL ,提供了用于量化标记类别内等位基因频率变化、标记对比期望和截断选择下标记对比方差的精确公式。我们专注于从双亲和杂交中随机获得的纯合系谱。在给定的公式中可以量化选择下标记与 QTL 之间的连锁效应以及对相关性状的选择效应。理论结果清楚地表明,取决于 QTL 效应的大小,高选择强度可能会导致 QTL 检测功效的急剧降低,并且基于无穷小模型的近似值与精确解有很大偏差。在对表型预选性状的数据进行 QTL 映射实验时,提出的公式对于选择适当的选择强度非常有价值,并且可以计算和校正选择下 QTL 的效应。我们的理论在实验数据中的应用表明,可以成功地校正 QTL 效应的选择诱导偏差。

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