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.

叶沿着植物茎或分支的排列是由茎顶端分生组织（SAMs）细胞中未分化细胞分配给叶原基的方式决定的。这种安排是至关重要的，因为它决定了植物的捕光能力，这反过来又影响生物量的生产。本研究旨在了解模式植物拟南芥叶片发育的空间模式的动态过程。植物激素生长素和细胞分裂素起着至关重要的作用，但是虽然计算模型解释了生长素的重要性，但细胞分裂素的功能还没有得到很好的理解。这是因为细胞分裂素调节几个相互关联的过程，不能很容易地破译传统的静态分析方法。本计画将借由即时影像及高解析度分子分析，来阐明细胞分裂素在激素水平及讯号传递上的作用。它也将探讨生长素和细胞分裂素如何影响与叶图案有关的局部作用转录因子。项目成果将用于开发预测计算模型，以促进作物工程，实现最佳光收获和提高生产力。活跃发展的植物和动态数据集的拍摄顶端的现场图像将用于一个新的跨学科的研究生课程的发展动力学，并在本科细胞生物学课程。这些数据也将被纳入为学校教师举办的暑期讲习班，向他们介绍发展系统动态分析的最新进展。动态数据集将通过一个门户网站（http：//cybersam.ucr.edu/Plone）提供，供研究和教学使用。该项目还将为一名博士后研究员、一名研究生和几名本科生提供现场成像、图像处理和高分辨率基因组学方面的培训。