A tetrasomic inheritance model and likelihood-based method for mapping quantitative trait loci in autotetraploid species.
A tetrasomic inheritance model and likelihood-based method for mapping quantitative trait loci in autotetraploid species.
复制标题
一种四体遗传模型和基于可能性的方法,用于绘制自动二倍体物种中的定量性状基因座。
DOI:
10.1111/nph.16413
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发表时间:
2021-04
期刊:
影响因子:
--
通讯作者:
Luo Z
中科院分区:
文献类型:
--
作者:
Chen J;Leach L;Yang J;Zhang F;Tao Q;Dang Z;Chen Y;Luo Z
Dissecting the genetic architecture of quantitative traits in autotetraploid species is a methodologically challenging task, but a pivotally important goal for breeding globally important food crops, including potato and blueberry, and ornamental species such as rose. Mapping quantitative trait loci (QTLs) is now a routine practice in diploid species but is far less advanced in autotetraploids, largely due to a lack of analytical methods that account for the complexities of tetrasomic inheritance. We present a novel likelihood‐based method for QTL mapping in outbred segregating populations of autotetraploid species. The method accounts properly for sophisticated features of gene segregation and recombination in an autotetraploid meiosis. It may model and analyse molecular marker data with or without allele dosage information, such as that from microarray or sequencing experiments. The method developed outperforms existing bivalent‐based methods, which may fail to model and analyse the full spectrum of experimental data, in the statistical power of QTL detection, and accuracy of QTL location, as demonstrated by an intensive simulation study and analysis of data sets collected from a segregating population of potato (Solanum tuberosum). The study enables QTL mapping analysis to be conducted in autotetraploid species under a rigorous tetrasomic inheritance model.
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DOI:
10.1073/pnas.0908477107
发表时间:
2010-03-02
影响因子:
11.1
作者:
Leach, Lindsey J.;Wang, Lin;Luo, Zewei
通讯作者:
Luo, Zewei
影响因子:
5.4
作者:
Hackett, Christine A.;Bradshaw, John E.;Bryan, Glenn J.
通讯作者:
Bryan, Glenn J.
影响因子:
1.5
作者:
Mather, K
通讯作者:
Mather, K
影响因子:
1.5
作者:
Haldane, JBS
通讯作者:
Haldane, JBS
影响因子:
3.3
作者:
Cao, DC;Craig, BA;Doerge, RW
通讯作者:
Doerge, RW