Reconstruction of linkage maps in the distorted segregation populations of backcross, doubled haploid and recombinant inbred lines

Reconstruction of linkage maps in the distorted segregation populations of backcross, doubled haploid and recombinant inbred lines
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回交、双单倍体和重组自交系扭曲分离群体连锁图谱的重建

DOI:
10.1007/s11434-007-0244-7
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发表时间:
2007-06
期刊:
科学通报(英文版)
影响因子:
--
通讯作者:
Zhu ChengSong
Zhu ChengSong
中科院分区:
其他
文献类型:
--
作者:
Li GuangJun;Wang JianFei;Zhang HongSheng;Zhang YuanMing;Wang FuHua;Zhu ChengSong

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标记的非孟德尔分离是一种常见的生物学现象,称为扭曲分离。虽然偏分离会影响图距的估计和QTL定位的结果,但在构建连锁图和QTL定位中,偏分离标记的影响往往被忽略。最近,我们已经开发了一种多点的方法,通过隐马尔可夫链的方法来重建连锁图的F2群体,纠正扭曲的标记之间的地图距离的偏差。在这篇文章中,该方法扩展到包括回交,加倍单倍体和重组自交系(RIL)群体。模拟实验结果表明:(1)两个连锁偏分离位点(SDL)对图距估计的影响程度随SDL遗传力和标记间距的增大而增大,而样本容量对偏分离效应的影响不大;(2)两个连锁的SDL在大多数情况下会导致连锁距离的低估,在具有相反加性效应的加性模型中会导致连锁距离的高估,(3)该方法可获得连锁距离的无偏估计。将该方法应用于一个严重偏分离的水稻RIL群体,构建了连锁图,并利用Bootstrap方法获得了图距的95%置信区间。真实的数据分析结果进一步证明了该方法的实用性,为数量性状和生活力性状的遗传分析奠定了基础。
Non-Mendelian segregation of markers, known as distorted segregation, is a common biological phenomenon. Although segregation distortion affects the estimation of map distances and the results of quantitative trait loci (QTL) mapping, the effects of distorted markers are often ignored in the construction of linkage maps and in QTL mapping. Recently, we have developed a multipoint method via a Hidden Markov chain method to reconstruct linkage maps in an F2population that corrects for bias of map distances between distorted markers. In this article, the method is extended to cover backcross, doubled haploid and recombinant inbred line (RIL) populations. The results from simulated experiments show that: (1) the degree that two linked segregation distortion loci (SDL) affect the estimation of map distances increases as SDL heritability and interval length between adjacent markers increase, whereas sample size has little effect on the bias; (2) two linked SDL result in the underestimation of linkage distances for most cases, overestimation for an additive model with opposite additive effects, and unbiased estimation for an epistatic model with negative additive-by-additive effects; (3) the proposed method can obtain the unbiased estimation of linkage distance. This new method was applied to a rice RIL population with severely distorted segregation to reconstruct the linkage maps, and a bootstrap method was used to obtain 95% confidence intervals of map distances. The results from real data analysis further demonstrate the utility of our method, which provides a foundation for the inheritance analysis of quantitative and viability traits.
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