FIBR - Molecular Evolutionary Ecology of Developmental Signaling Pathways in Complex Environments.

FIBR - 复杂环境中发育信号通路的分子进化生态学。

• 批准号: 0425759
• 负责人: Johanna Schmitt
• 金额: --
• 依托单位: Brown University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-09-01 至 2010-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0425759&HistoricalAwards=false
• 关键词: FIBR; Molecular; Evolutionary; Ecology; Developmental

This research project will investigate how plants in natural environments integrate multiple environmental cues in order to flower during favorable seasonal conditions. To this end, it will dissect natural genetic variation in the model plant species Arabidopsis thaliana, combining tools from molecular biology, molecular evolutionary genetics, quantitative genetics, evolutionary ecology, gene network modeling, and biogeography. Major objectives are: 1) to identify natural genetic variants in environmental signal integration; 2) to dissect molecular mechanisms of signal integration; 3) to uncover the evolutionary forces shaping signaling pathways by analyzing DNA sequence variation in candidate genes; 4) to test whether natural variation in these candidate genes contributes to variation in response to multiple environmental cues; 5) to map quantitative trait loci (QTL) contributing to natural variation in flowering responses on a fine genetic scale; 6) to examine the effects of different combinations of natural allelic variants of candidate genes on flowering responses; 7) to model the effects of natural variation in candidate flowering genes on overall flowering pathway function; 8) to test for evidence of local adaptation to climate by examining geographic associations between flowering responses, candidate gene variation, and climate in the site of origin; 9) to measure geographic variation in natural selection by growing lines from different parts of Europe in replicated field experiments across the native European climatic range. Broader impacts: The results of this project will be important for predicting how plants will respond to ongoing climate change. The broad research scope will provide interdisciplinary training to postdoctoral, predoctoral, and undergraduate students as well as K-12 educators. International training collaborations with 7 leading European laboratories will provide unique opportunities for students and postdocs to learn Arabidopsis molecular and population genetics. Thus, future researchers and educators will learn to transcend disciplinary boundaries and integrate molecular and evolutionary approaches to biological problems.

该研究项目将调查自然环境中的植物如何整合多种环境线索，以便在有利的季节性条件下开花。 为此，它将剖析模型植物种类拟南芥中的自然遗传变异，并结合了分子生物学，分子进化遗传学，定量遗传学，进化生态学，基因网络建模和生物地理学的工具。主要目标是：1）确定环境信号整合中的自然遗传变异； 2）解剖信号整合的分子机制； 3）通过分析候选基因的DNA序列变异来揭示塑造信号通路的进化力； 4）测试这些候选基因的自然变异是否有助于响应多种环境线索的差异； 5）绘制定量性状基因座（QTL），促进良好的遗传尺度上开花反应的自然变化； 6）检查候选基因自然等位基因变体不同组合对开花反应的影响； 7）模拟候选开花基因自然变异对整体开花途径功能的影响； 8）通过检查开花反应，候选基因变异和原产地气候之间的地理关联来测试局部适应气候的证据； 9）通过在欧洲本地气候范围内的复制现场实验中，通过从欧洲不同地区发展线条来衡量自然选择的地理差异。更广泛的影响：该项目的结果对于预测植物将如何应对持续的气候变化很重要。广泛的研究范围将为博士后，前和本科生以及K-12教育者提供跨学科的培训。 与7个欧洲领先的实验室的国际培训合作将为学生和博士后学习拟南芥分子和人口遗传学提供独特的机会。因此，未来的研究人员和教育工作者将学会超越学科边界，并将分子和进化方法整合到生物学问题上。

项目成果

Large-effect flowering time mutations reveal conditionally adaptive paths through fitness landscapes in Arabidopsis thaliana

大效应开花时间突变揭示了拟南芥适应性景观的条件适应性路径

• DOI: 10.1073/pnas.1902731116
• 发表时间: 2019
• 期刊: Proceedings of the National Academy of Sciences
• 作者: Taylor, Mark A.;Wilczek, Amity M.;Roe, Judith L.;Welch, Stephen M.;Runcie, Daniel E.;Cooper, Martha D.;Schmitt, Johanna
• 通讯作者: Schmitt, Johanna