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Estimation of the genetic components of heterosis by means of new experimental design and integrated data analysis with special focus on epistasis

通过新的实验设计和综合数据分析（特别关注上位性）来估计杂种优势的遗传成分

基本信息

批准号：
5403878
负责人：
Professor Dr. Albrecht E. Melchinger
金额：
--
依托单位：
Institut für Pflanzenzüchtung, Saatgutforschung und Populationsgenetik (350)
依托单位国家：
德国
项目类别：
Priority Programmes
财政年份：
2003
资助国家：
德国
起止时间：
2002-12-31 至 2009-12-31
项目状态：
已结题

来源：
https://gepris.dfg.de/gepris/projekt/5403878?language=en
关键词：
Estimation genetic components heterosis means

项目摘要

Heterosis is of fundamental importance in plant breeding, yet its underlying causes are still unknown. We tested several hybrids of Arabidopsis and found substantial (smaller than 50%) heterosis for biomass yield in this model species for plant genomic research. In agreement with other groups participating in this program, we chose the cross Col-O x C24 as a model for heterosis research. Our goal is to map and characterize QTL contributing to heterosis in this hybrid by using a triple testcross (TTC) design. A total of 1.200 testcross progenies and their 400 parental RILs will be evaluated in a huge greenhouse experiment with 80.000 plants for biomass yield and growth rates. In parallel, the quantitative genetic theory, statistical analysis, and software tools for QTL mapping with a TTC design will be worked out and tested with simulated and experimental data. Interesting QTL regions will be subject to fine-mapping approaches in a 2nd experiment using TTC of NILs carrying one or two target regions. Integrated bioinformatic analyses of data from various biological levels (e.g., mRNA and protein expression data) will be performed together with other groups by adopting various strategies of data mining. Altogether, this research promises a major contribution to reveal the genetic and molecular basis of heterosis.

杂种优势在植物育种中具有重要意义，但其产生的根本原因至今仍不清楚。我们测试了拟南芥的几个杂交种，并发现在这个模式物种的植物基因组研究的生物量产量的显着优势（小于50%）。与参与该计划的其他小组一致，我们选择Col-O x C24杂交作为杂种优势研究的模型。我们的目标是利用三重测交（TTC）设计，在这个混合定位和表征QTL有助于杂种优势。将在一个巨大的温室实验中评估总共1200个测交后代及其400个亲本RIL，其中有80000株植物的生物量产量和生长速率。与此同时，数量遗传理论，统计分析和软件工具的QTL定位与TTC设计将制定和测试模拟和实验数据。感兴趣的QTL区域将在第二次实验中使用携带一个或两个目标区域的近等基因系的TTC进行精细定位。对来自不同生物水平的数据进行综合生物信息学分析（例如，mRNA和蛋白质表达数据）将通过采用各种数据挖掘策略与其他组一起进行。总之，本研究为揭示杂种优势的遗传和分子基础做出了重要贡献。