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数量性状的核质互作遗传效应分析:二倍体植株遗传模型
引用本文:韩立德,杨剑,朱军. 数量性状的核质互作遗传效应分析:二倍体植株遗传模型[J]. 遗传学报, 2007, 34(6): 562-568. DOI: 10.1016/S1673-8527(07)60062-9
作者姓名:韩立德  杨剑  朱军
作者单位:1. 浙江大学生物信息研究所,杭州,310029;安徽农业大学农学院,合肥,230036
2. 浙江大学生物信息研究所,杭州,310029
基金项目:国家重点基础研究发展计划(973计划)
摘    要:提出了能分析二倍体植株数量性状核质互作效应的遗传模型,该模型把控制数量性状总的遗传效应分为核效应、质效应和核质互作效应,以及它们分别与环境作用的效应。其中,核质互作效应可进一步分解为加性核质互作与显性核质互作。基于平衡与非平衡两种双列杂交试验设计,蒙特卡罗模拟结果表明:采用混合线性模型方法进行统计分析,可以有效地估计各项遗传效应值及其方差分量。此外,运用该模型对棉花的4个数量性状(单株铃数、衣分、2.5%跨长和麦克隆值)进行了遗传分析。

关 键 词:植株性状  遗传模型  核质互作  基因型×环境互作  预测
收稿时间:2006-08-15
修稿时间:2006-08-15

Analysis of Genetic Effects of Nuclear-Cytoplasmic Interaction on Quantitative Traits: Genetic Model for Diploid Plants
Lide Han,Jian Yang,Jun Zhu. Analysis of Genetic Effects of Nuclear-Cytoplasmic Interaction on Quantitative Traits: Genetic Model for Diploid Plants[J]. Journal of Genetics and Genomics, 2007, 34(6): 562-568. DOI: 10.1016/S1673-8527(07)60062-9
Authors:Lide Han  Jian Yang  Jun Zhu
Affiliation:1. Institute of Bioinformatics, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou 310029, China; 2. College of Agronomy, Anhui Agricultural University, Hefei 230036, China
Abstract:A genetic model was proposed for simultaneously analyzing genetic effects of nuclear,cytoplasm,and nu- clear-cytoplasmic interaction(NCI)as well as their genotype by environment(GE)interaction for quantitative traits of diploid plants.In the model,the NCI effects were further partitioned into additive and dominance nuclear-cytoplasmic interaction compo- nents.Mixed linear model approaches were used for statistical analysis.On the basis of diallel cross designs,Monte Carlo simula- tions showed that the genetic model was robust for estimating variance components under several situations without specific effects. Random genetic effects were predicted by an adjusted unbiased prediction(AUP)method.Data on four quantitative traits(boll number,lint percentage,fiber length,and micronaire)in Upland cotton(Gossypium hirsutum L.)were analyzed as a worked exam- ple to show the effectiveness of the model.
Keywords:Plants traits  genetic model  nuclear-cytoplasmic interaction effects  GE interaction  genetic prediction
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