Spatio-temporal regulation of hormonal interactions in Arabidopsis shoot apex: Live imaging and cell type-specific analysis

拟南芥芽尖激素相互作用的时空调节：实时成像和细胞类型特异性分析

• 批准号: 1147250
• 负责人: Venugopala Gonehal
• 金额: $ 60万
• 依托单位: University of California-Riverside
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-02-15 至 2017-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1147250&HistoricalAwards=false
• 关键词: Spatio; temporal; regulation; hormonal; interactions

The arrangement of leaves along a plant shoot or branch is determined by the manner in which undifferentiated cells in shoot apical meristems (SAMs) cells are allocated to leaf primordia. The arrangement is critical because it determines the plant's light harvesting capability, which in turn influences biomass production. This project aims to understand dynamic processes that control the spatial patterning of leaf development in the model plant Arabidopsis thaliana. The plant hormones auxin and cytokinin play crucial roles, but while computational models explain the importance of auxin, the function of cytokinin is not well understood. This is because cytokinin regulates several interconnected processes that cannot be easily deciphered by traditional static analytical methods. This project will elucidate the role of cytokinin using transient manipulation of hormone levels and signaling followed by live imaging and high-resolution molecular analysis. It will also explore how auxin and cytokinin influence locally-acting transcription factors implicated in leaf patterning. The project outcomes will be used to develop predictive computational models to facilitate engineering of crop plants for optimal light harvest and increased productivity. The live images of actively developing shoot apices of plants and dynamic data sets will be used in a new interdisciplinary graduate course on developmental dynamics, and in an undergraduate cell biology course. These data also will be incorporated into a summer workshop for schoolteachers that will introduce them to recent progress in dynamic analysis of developmental systems. The dynamic data sets will be made available through a web portal (http://cybersam.ucr.edu/Plone) for use in research and teaching. The project will also provide training in live imaging, image processing and high-resolution genomics for a postdoctoral fellow, a graduate student and several undergraduates.

沿植物芽或分支的叶片排列取决于将芽顶分生组织中未分化的细胞（SAM）细胞分配给原始叶片原始的方式。该布置至关重要，因为它决定了植物的光收集能力，进而影响生物量的产生。该项目旨在了解控制模型植物拟南芥中叶片发育空间形式的动态过程。植物激素生长素和细胞分裂素起着至关重要的作用，但是计算模型解释了生长素的重要性，但细胞分裂素的功能尚不清楚。这是因为细胞分裂素调节了几个相互联系的过程，这些过程无法轻易被传统的静态分析方法解密。该项目将使用激素水平的瞬时操纵和信号传导阐明细胞分裂素的作用，然后进行实时成像和高分辨率分子分析。它还将探讨生长素和细胞分裂素如何影响局部作用的转录因子与叶片模式有关。该项目结果将用于开发预测性计算模型，以促进作物工厂的工程，以最佳的光收获和提高生产率。积极开发植物的芽和动态数据集的现场图像将用于新的有关发育动力学的跨学科研究生课程，并在本科细胞生物学课程中使用。这些数据还将被纳入夏季教师的夏季研讨会中，这将向他们介绍开发系统动态分析的最新进展。动态数据集将通过Web门户（http://cybersam.ucr.edu/plone）提供用于研究和教学。该项目还将为博士后研究员，研究生和几名本科生提供实时成像，图像处理和高分辨率基因组学的培训。