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
复制标题
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:
影响因子:
--
通讯作者:
Zhu ChengSong
中科院分区:
文献类型:
--
作者:
Li GuangJun;Wang JianFei;Zhang HongSheng;Zhang YuanMing;Wang FuHua;Zhu ChengSong
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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影响因子:
1.5
作者:
Jiang, CJ;Zeng, ZB
通讯作者:
Zeng, ZB
影响因子:
5.4
作者:
FAURE, S;NOYER, JL;DELEON, DG
通讯作者:
DELEON, DG
DOI:
10.1073/pnas.84.8.2363
发表时间:
1987-04-01
影响因子:
11.1
作者:
LANDER, ES;GREEN, P
通讯作者:
GREEN, P
影响因子:
5.4
作者:
A. Murigneux;S. Baud;M. Beckert
通讯作者:
A. Murigneux;S. Baud;M. Beckert
影响因子:
3.3
作者:
Y. Harushima;M. Nakagahra;M. Yano;Takuji Sasaki;N. Kurata
通讯作者:
Y. Harushima;M. Nakagahra;M. Yano;Takuji Sasaki;N. Kurata