Multi-QTL mapping for quantitative traits using distorted markers
Multi-QTL mapping for quantitative traits using distorted markers
复制标题
使用扭曲标记进行数量性状的多 QTL 定位
DOI：
10.1007/s11032-012-9797-5
复制
发表时间：
2013-02-01
影响因子：
3.1
通讯作者：
Zhang, Yuan-Ming
中科院分区：
文献类型：
--
作者：
Wen, Jia;Van Toan Can;Zhang, Yuan-Ming
标记分离扭曲是一种常见的自然现象。然而，利用扭曲标记检测数量性状基因座(QTL)的研究相对较少。因此，在本研究中，我们提出了一种利用扭曲标记的多QTL定位方法。首先，利用包括扭曲标记在内的所有标记的信息来检测分离扭曲基因座(SDL)。其次，利用检测到的SDL信息根据标记信息修正QTL基因类型的条件概率，并将这些修正后的概率整合到多QTL定位方法中。最后，通过蒙特卡罗仿真研究和实际数据分析，验证了该方法的有效性。模拟研究结果表明，只要在模拟QTL周围放置一个或两个SDL，新方法与普通区间作图法在检测QTL的能力或对QTL的位置和显性效应的估计方面没有差别。然而，在SDL的显性遗传模型下，QTL的检测能力比在加性遗传模型下更高，并且新方法对QTL加性效应的估计与用普通区间作图法得到的估计值有显著差异。通过对222个大豆F2：4家系的豆浆QTL检测，进一步证实了上述结果。
Marker segregation distortion is a common natural phenomenon. However, relatively little is known about utilizing distorted markers for detecting quantitative trait loci (QTL). Therefore, in this study we proposed a multi-QTL mapping approach that uses distorted markers. First, the information from all markers, including distorted markers, was used to detect segregation distortion loci (SDL). Second, the information from the detected SDL was used to correct the conditional probabilities of the QTL genotypes conditional on marker information, and these corrected probabilities were then incorporated into a multi-QTL mapping methodology. Finally, the proposed approach was validated by both Monte Carlo simulation studies and real data analysis. The results from the simulation studies show that as long as one or two SDL are placed around the simulated QTL, there are no differences between the new method and the ordinary interval mapping method in terms of the power of QTL detection or the estimates of the position and dominant effects of the QTL. However, the power of QTL detection is higher under the dominant genetic model of SDL than under the additive genetic model, and the estimate for the additive effect of QTL using the new method is significantly different from the estimate obtained using ordinary interval mapping. The above results were further confirmed by the detection of QTL for dried soymilk in 222 F2:4families in soybean.