多性状全基因组关联分析新方法及其在设计育种中的应用研究

项目名称： 多性状全基因组关联分析新方法及其在设计育种中的应用研究

项目编号： No.31470083

项目类型： 面上项目

立项/批准年度： 2015

项目学科： 农业科学

项目作者： 徐海明

作者单位： 浙江大学

项目金额： 30万元

中文摘要： 作物产量、品质、抗逆等育种目标性状都是数量性状，受多基因互作网络与环境的协同调控，性状间特别是综合性状与构成因素间存在内在遗传组分的相关。综合改良育种目标性状、培育环境友好型新品种是作物育种的根本任务，成功与否取决于性状遗传机理的解析和功能基因的挖掘。随高通量测序技术的发展，数量性状基因定位正从连锁分析向关联分析转变，但当前关联分析方法都针对单一性状，无法全基因组分析基因间、基因与环境间的互作，也无法分析基因的多效性。课题将在混合线性模型框架下，发展多性状关联分析新方法，发展新方法全基因组快速筛选潜在关联的候选SNP集，剖析复杂性状遗传结构，分析基因间、基因与环境互作的各项效应；发展多性状改良的基因型设计理论与方法；研制并行化分析程序。课题研究成果对作物数量性状遗传结构剖析、功能基因挖掘及育种应用具有重要的科学意义和实践应用价值。

中文关键词： 数量性状；关联分析；上位性；基因与环境互作；分子育种

英文摘要： Most crop breeding target traits, such as yield，quality and stress resistance, are quantitative traits, controlled corporately by a set of interacted gene network and environment. Intricate genetic correlation is evolved in phenotypic correlation between traits, especially between comprehensive character and its components. The essential task of crop breeding practice is to comprehensively improve target traits and breed new environmental friendly cultivars, its success or not depends on dissection of genetic architecture and identification of functional genes of traits. With development of high throughput technology, the linkage analysis methods are changing to association methods for QTL mapping. Currently, the available association methods are for separate analysis of each trait, couldn't analyze the gene-gene interaction effects and gene-environment interaction, as well as pleiotrophic effects of gene. In the statistical framework of mixed linear model, our research will develop new association and conditional association method for mapping genes based on integrated analysis of multiple traits, design new method to fast and efficiently screen candidate gene set in genome wide potentially associated with surveyed characters, for dissecting genetic architecture based on multiple omics data of phenotype, gene e

英文关键词： quantitative trait；association analysis；epistasis；gene-environment interaction；molecular breeding