Map-based cloning and characterization of a QTL (quantitative trait loci) network underlying growth responses to drought in Arabidopsis thaliana

基于图谱的拟南芥干旱生长响应 QTL（数量性状位点）网络的克隆和表征

• 批准号: 198985726
• 负责人: Dr. Inga Schmalenbach
• 金额: --
• 依托单位: Abteilung Pflanzenzüchtung und Genetik (aufgelöst)
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2011
• 资助国家: 德国
• 起止时间: 2010-12-31 至 2014-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/198985726?language=en
• 关键词: Map; based; cloning; characterization; QTL

As drought causes severe yield losses in crop plants worldwide, developing varieties with increased drought tolerance is nowadays a major goal of plant breeding. Although crop plants which are able to survive severe drought have been created by genetic engineering, the need to develop plants with stable growth and productivity when subjected to moderate water deficit has poorly gained attention so far. It has been shown that the model species Arabidopsis thaliana provides extensive natural allelic variation for tolerance to mild drought stress which can be exploited using quantitative genetics tools. In our previous work, we detected and validated a QTL (quantitative trait loci) network which controls growth responses to mild water deficit in Arabidopsis. The aim of the future project is to identify the genes and functional polymorphisms underlying this network. To do so, a positional cloning approach will be combined with gene expression analyses. Furthermore, we intend to clarify if a low growth response is associated with physiological adjustments to water deficit, if we can detect cross-talk between drought and other abiotic stresses affecting plant water status, and if there exists a regional pattern of drought adaptation in A. thaliana. We expect that in the future the knowledge achieved could facilitate in particular the development of markers for breeding rapeseed cultivars less affected by mild drought stress.

由于干旱导致世界范围内农作物的严重产量损失，开发具有增加的耐旱性的品种是当今植物育种的主要目标。尽管通过基因工程已经创造出能够在严重干旱中存活的作物，但是开发在遭受适度水分亏缺时具有稳定生长和生产力的植物的需要迄今为止很少受到关注。已经表明，模式物种拟南芥（Arabidopsis thaliana）提供了广泛的天然等位基因变异以耐受轻度干旱胁迫，这可以使用定量遗传学工具来利用。在我们之前的工作中，我们检测并验证了一个控制拟南芥对轻度水分胁迫的生长反应的QTL（quantitative trait loci）网络。未来项目的目标是确定该网络的基因和功能多态性。为此，定位克隆方法将与基因表达分析相结合。此外，我们打算澄清，如果一个低的增长响应与生理调整水分亏缺，如果我们可以检测到干旱和其他非生物胁迫影响植物水分状况之间的串扰，如果存在一个区域模式的干旱适应在A。thaliana.我们希望，在未来的知识，特别是可以促进标记的发展，育种受轻度干旱胁迫的油菜品种。