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Associative expression and systems analysis of complex traits in oilseed rape / canola (ASSYST)

油菜/油菜复杂性状的关联表达和系统分析（ASSYST）

基本信息

批准号：
91383192
负责人：
Professor Dr. Rod Snowdon
金额：
--
依托单位：
Department of Biology
依托单位国家：
德国
项目类别：
Research Grants
财政年份：
2009
资助国家：
德国
起止时间：
2008-12-31 至 2014-12-31
项目状态：
已结题

来源：
https://gepris.dfg.de/gepris/projekt/91383192?language=en
关键词：
Associative expression systems analysis complex

项目摘要

The study will utilise quantitative gene expression data from well-defined populations of segregating Brassica napus genotypes, and integrate the segregating transcriptome data with quantitative metabolite and phenotype data using a systems-genetics approach that combines an analysis of gene co-expression networks with expression QTL approaches. Furthermore, a public B. napus SNP array will be developed and used for association analyses in a large genotype diversity set of B. napus accessions. The expression of genes (i) for which eQTL hotspots are observed in the linkage mapping populations, and (ii) which are identified as candidates by systems genetics approaches based on global gene expression and hormone profiles, will be examined in the genotype diversity set by quantitative real-time PCR. This data will then be used for associative expression mapping.The work will initially focus on seedling development traits and their relationship to heterosis as a case study for a highly complex interactive system that is genetically very poorly understood, but is agronomically extremely important. The network analysis tools will also be applied for a systems analysis of important seed quality characters to identify key regulatory factors involved in biosynthesis of oil, protein and fibre components. The project will incorporate the most recent technological developments in the field of next-generation sequencing for ultra-deep transcription profiling, and will integrate gene coexpression network analysis, classical QTL analysis, genetical genomics and association genetics concepts in a manner that to date has not been used for functional genomics of complex traits in a crop plant.

该研究将利用来自分离甘蓝型油菜基因型的明确群体的定量基因表达数据，并使用系统遗传学方法将分离转录组数据与定量代谢物和表型数据整合，该方法将基因共表达网络分析与表达QTL方法相结合。此外，公共B.将开发一个甘蓝型油菜SNP阵列并用于B的大基因型多样性集中的关联分析。油菜种质基因的表达（i）在连锁作图群体中观察到eQTL热点，和（ii）通过基于全局基因表达和激素谱的系统遗传学方法鉴定为候选基因，将通过定量实时PCR在基因型多样性集中进行检查。这些数据将被用于关联表达mapping.这项工作最初将集中在幼苗发育性状及其与杂种优势的关系上，作为一个高度复杂的相互作用系统的案例研究，该系统在遗传上知之甚少，但在农学上非常重要。网络分析工具还将用于重要种子质量性状的系统分析，以确定参与油、蛋白质和纤维组分生物合成的关键调节因子。该项目将纳入下一代超深层转录谱测序领域的最新技术发展，并将整合基因共表达网络分析、经典QTL分析、遗传基因组学和关联遗传学概念，其方式迄今尚未用于作物复杂性状的功能基因组学。