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基于单粒观察值的胚乳性状QTL图的构建方法
引用本文:王伟,胡治球,孙长森,徐辰武.基于单粒观察值的胚乳性状QTL图的构建方法[J].作物学报,2005,31(8):989-994.
作者姓名:王伟  胡治球  孙长森  徐辰武
作者单位:扬州大学江苏省作物遗传生理重点实验室,江苏扬州225009
摘    要:谷物胚乳性状是决定谷物品质的一类重要性状。由于胚乳是由雌性的两个极核和雄性的一个精核受精发育而形成的三倍体组织,因此胚乳性状的遗传基础要比通常的二倍体农艺性状复杂得多。本文根据三倍体胚乳性状的数量遗传模型,提出利用分布于染色体上的所有分子标记对胚乳性状数量基因座位(QTL)进行区间作图的极大似然估计方

关 键 词:胚乳性状  三倍体  区间作图  极大似然估计  EM算法
收稿时间:2004-05-08
修稿时间:2005-01-04

Single Grain Observation-Based Mapping of Quantitative Traits Loci Underlying Endosperm Traits
WANG Wei,HU Zhi-Qiu,SUN Chang-Sen,XU Chen-Wu.Single Grain Observation-Based Mapping of Quantitative Traits Loci Underlying Endosperm Traits[J].Acta Agronomica Sinica,2005,31(8):989-994.
Authors:WANG Wei  HU Zhi-Qiu  SUN Chang-Sen  XU Chen-Wu
Institution:Jiangsu Provincial Key Laboratory of Crop Genetics and Physiology, Yangzhou University, Yangzhou 225009, Jiangsu, China
Abstract:Endosperm traits are the kind of important traits determining the grain quality in cereals. The endosperm, which is derived from two polar nuclei fusing with one sperm, is a triploid tissue whose genetic constitution is more complex than common diploid tissue. However, current statistical methods for mapping quantitative trait loci (QTL) under diploid genetic control have not been effective for dealing with endosperm traits. Based on the quantitative genetic models for triploid endosperm traits, a new maximum likelihood method implemented via EM algorithm to map QTL underlying endosperm traits was proposed in this paper. The method was established using the DNA molecular marker genotypes of each plant in segregation populations and the single endosperm observation of a few endosperms of each plant. Because of using the mixture distribution property of QTL genotypes within flanking marker genotypes, the method could not only precisely map QTL of endosperm traits, but also estimate two dominance effects of endosperm traits. Efficiency and feasibility of the methods have been verified through Monte Carlo simulation studies. The means and standard deviations of the estimated QTL effects and locations as well as the empirical powers under different QTL heritabilities and sampling strategies were listed in Table 2. These simulation results show that the proposed method provide accurate estimates of both the QTL effects and locations with high statistical efficiency. The next step of endosperm mapping is to consider both the maternal diploid genotype and the triploid endosperm genotypes jointly.
Keywords:Endosperm traits  Triploid  Interval mapping  Maximum likelihood estimation  EM algorithm
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