Max Planck Institute for Plant Breeding Research, Cologne, Germany.
Heredity (Edinb). 2012 Jun;108(6):626-32. doi: 10.1038/hdy.2011.133. Epub 2012 Feb 15.
A major goal of today's biology is to understand the genetic basis of quantitative traits. This can be achieved by statistical methods that evaluate the association between molecular marker variation and phenotypic variation in different types of mapping populations. The objective of this work was to evaluate the statistical power of quantitative trait loci (QTL) detection of various multi-parental mating designs, as well as to assess the reasons for the observed differences. Our study was based on an empirical data of 20 Arabidopsis thaliana accessions, which have been selected to capture the maximum genetic diversity. The examined mating designs differed strongly with respect to the statistical power to detect QTL. We observed the highest power to detect QTL for the diallel cross with random mating design. The results of our study suggested that performing sibling mating within subpopulations of joint-linkage mapping populations has the potential to considerably increase the power for QTL detection. Our results, however, revealed that using designs in which more than two parental alleles segregate in each subpopulation increases the power even more.
今天生物学的一个主要目标是理解数量性状的遗传基础。这可以通过统计方法来实现，这些方法评估了不同类型的图谱群体中分子标记变异与表型变异之间的关联。这项工作的目的是评估各种多亲本交配设计的数量性状基因座（QTL）检测的统计能力，并评估观察到的差异的原因。我们的研究基于 20 个拟南芥（Arabidopsis thaliana）品系的经验数据，这些品系被选择来捕获最大的遗传多样性。所检查的交配设计在检测 QTL 的统计能力方面有很大的差异。我们观察到随机交配设计的完全双列杂交具有最高的检测 QTL 的能力。我们的研究结果表明，在联合连锁图谱群体的亚群内进行同胞交配有可能大大提高 QTL 检测的能力。然而，我们的结果表明，使用每个亚群中分离出两个以上亲本等位基因的设计可以进一步提高能力。
