Department of Crop Sciences, Georg-August-University Göttingen, Von-Siebold-Strasse 8, Göttingen 37075, Germany.
Genome. 2010 Nov;53(11):899-907. doi: 10.1139/G10-049.
QTL mapping by association analysis has recently gained interest in plant breeding research as an alternative to QTL mapping in segregating populations from biparental crosses. In a first experiment on whole-genome association analysis in rapeseed, 684 mapped AFLP markers were tested for association with 14 traits in a set of 84 canola quality winter rapeseed cultivars. For association analysis a general linear model was used. By testing significance of marker-trait associations against a false discovery rate of 0.2, between 1 and 34 associated markers were found for 10 of the 14 traits. Taking into account linkage disequilibrium between the significant markers, these markers represent between 1 and 22 putative QTL for the respective traits. The minimum phenotypic variance explained by the QTL for the different traits ranged from 15% to 53%. A subset of 27 markers were significantly associated with two or more traits. These markers were predominantly shared between traits that were significantly correlated at the phenotypic level. The results show clearly that in rapeseed, QTL mapping by association analysis is a viable alternative to QTL mapping in segregating populations.
QTL 关联分析最近在植物育种研究中引起了关注，作为从双杂交群体中分离的 QTL 作图的替代方法。在油菜全基因组关联分析的第一个实验中，在 84 个油菜冬季品种的一组中，对 684 个映射的 AFLP 标记与 14 个性状进行了关联分析。关联分析采用了一般线性模型。通过对标记与性状的关联进行假发现率为 0.2 的显著性检验，发现 10 个 14 个性状中有 1 到 34 个相关标记。考虑到显著标记之间的连锁不平衡，这些标记代表了各自性状的 1 到 22 个假定的 QTL。不同性状的 QTL 解释的最小表型方差从 15%到 53%不等。有 27 个标记的子集与两个或更多的性状显著相关。这些标记主要在表型水平上显著相关的性状之间共享。结果清楚地表明，在油菜中，关联分析的 QTL 作图是分离群体中 QTL 作图的可行替代方法。
