Multilocus tetrasomic linkage analysis using hidden Markov chain model
Multilocus tetrasomic linkage analysis using hidden Markov chain model
复制标题
使用隐马尔可夫链模型进行多位点四体连锁分析
DOI:
10.1073/pnas.0908477107
复制
发表时间:
2010-03-02
影响因子:
11.1
通讯作者:
Luo, Zewei
中科院分区:
文献类型:
--
作者:
Leach, Lindsey J.;Wang, Lin;Luo, Zewei
The availability of reliable genetic linkage maps is crucial for functional and evolutionary genomic analyses. Established theory and methods of genetic linkage analysis have made map construction a routine exercise in diploids. However, many evolutionarily, ecologically, and/or agronomically important species are autopolyploids, with autotetraploidy being a typical example. These species undergo much more complicated chromosomal segregation and recombination at meiosis than diploids. In addition, there is evidence of polyploidy-induced and highly dynamic changes in the structure of the genome. These polysomic characteristics indicate the inappropriateness of the theory and methods of linkage analysis in diploids for use in these species and a gap in the theory and methodology of tetraploid map construction. This paper presents a theoretical model and statistical framework for multilocus linkage analysis in autotetraploids for use with dominant and/or codominant DNA molecular markers. The theory and methods incorporate the essential features of allele segregation and recombination under tetrasomic inheritance and the major challenges in statistical modeling and marker data analysis. We validated the method and explored its statistical properties by intensive simulation study and demonstrated its utility by analysis of AFLP and SSR marker data from an outbred autotetraploid potato population.