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利用贝叶斯复合分离分析检测火炬松梭形锈病抗性的主基因

Major gene detection for fusiform rust resistance using Bayesian complex segregation analysis in loblolly pine.

作者信息

Li Hua, Ghosh Sujit, Amerson Henry, Li Bailian

机构信息

Department of Forestry and Environmental Resources, North Carolina State University, Campus Box 8002, Raleigh, NC 27695, USA.

出版信息

Theor Appl Genet. 2006 Sep;113(5):921-9. doi: 10.1007/s00122-006-0351-x. Epub 2006 Jul 29.

Abstract

The presence of major genes affecting rust resistance of loblolly pine was investigated in a progeny population that was generated with a half-diallel mating of six parents. A Bayesian complex segregation analysis was used to make inference about a mixed inheritance model (MIM) that included polygenic effects and a single major gene effect. Marginalizations were achieved by using Gibbs sampler. A parent block sampling by which genotypes of a parent and its offspring were sampled jointly was implemented to improve mixing. The MIM was compared with a pure polygenic model (PM) using Bayes factor. Results showed that the MIM was a better model to explain the inheritance of rust resistance than the pure PM in the diallel population. A large major gene variance component estimate (> 50% of total variance), indicated the existence of major genes for rust resistance in the studied loblolly pine population. Based on estimations of parental genotypes, it appears that there may be two or more major genes affecting disease phenotypes in this diallel population.

摘要

在由六个亲本进行半双列杂交产生的子代群体中,研究了影响火炬松抗锈性的主基因的存在情况。使用贝叶斯复合分离分析对包含多基因效应和单个主基因效应的混合遗传模型(MIM)进行推断。通过使用吉布斯采样器实现边际化。实施了亲本块采样,即对亲本及其后代的基因型进行联合采样,以改善混合效果。使用贝叶斯因子将MIM与纯多基因模型(PM)进行比较。结果表明,在双列群体中,MIM比纯PM更能解释抗锈性的遗传。一个较大的主基因方差成分估计值(>总方差的50%)表明,在所研究的火炬松群体中存在抗锈性主基因。基于亲本基因型的估计,在这个双列群体中似乎可能有两个或更多的主基因影响疾病表型。

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