Arabidopsis 2010: Regulatory Networks Controlling Hormone-Mediated Growth

智力上的优点。生物体对环境的反应是启动和关闭基因的生物过程的结果。这些调控过程涉及许多基因和蛋白质的协同活动。因此，基因和蛋白质不是独立的单元，而是它们的活动深度相互关联，在它们的活动和调节中相互影响。将来自不同类型实验的不同类型数据结合在一起的实验方法，可能是对控制这些过程的基因网络获得新见解的非常有效的方式。植物科学现在正处于能够获取基因组中所有基因的所有这些信息的十字路口。然而，在承担更艰巨的任务--在全球范围内分配所有这些基因和基因网络的生物学意义或功能--方面，几乎没有做出什么努力。在过去的十年里，已经产生了大量的基因组资源，包括许多基因组序列，具有大多数基因突变的植物的敲除集合，可以方便地操纵任何基因表达的大型克隆集合，以及告诉我们基因何时开启和关闭的各种类型的基因组图谱。通过整合所有这些不同类型的数据，并利用过去十年开发的所有资源，我们现在的目标是创建一种名为植物生长网络的新型地图。这项研究的目标是应用系统生物学方法。使用基因组科学的工具(基因组序列、蛋白质、DNA图谱、基因表达图谱、基因敲除突变集合和其他数据集)来了解植物激素反应基因网络如何控制植物的生长。这项研究对农林的长期影响预计是深远的。这些基本信息将使设计出具有优越农艺性状的新作物品种成为可能，并将极大地促进设计植物以适应快速变化的环境的能力。该项目将在两个方面产生更广泛的影响。首先，这项研究的完成将为植物生物界带来重要的新成果？它将产生一套大规模转录调控网络信息，用于与所有主要的生长调节植物激素相关的反应。这些生长单元目前的可获得性非常有限，因此这一知识库将对基础植物科学和农业方面的各种研究产生很大影响。所有研究结果都将迅速提供给研究界。这一研究计划的一个同样重要的广泛影响领域是学生培训，将在不同级别提供，包括向高中生和本科生提供外展，以及博士后指导。

Intellectual merit. The response of organisms to their environment is the consequence of biological processes that turn genes on and off. These regulatory processes involve the concerted activity of many genes and proteins. Hence, genes and proteins are not independent units, rather their actions are deeply interconnected, influencing each other in their activity and regulation. Experimental approaches that combine different types of data from different types of experiments can be a very powerful way to gain new insights into the gene networks that control these processes. Plant science is now at the crossroads of being able to harvest all of this information for all the genes in a genome. However, very little effort has been made to undertake the more daunting task of assigning biological meaning or functions of all these genes and gene networks on a global scale. During the past decade, vast quantities of genomic resources have been generated, including many genome sequences, knockout collections of plants with mutations in most genes, large clone collections that allow facile manipulation of the expression of any gene, along with various types of genome maps that tell us when genes are turned on and off. By integrating all of these different kinds of data and using all of the resources developed over the past decade, we now aim to create a new type of map called a ?plant growth network?. The goal of this research is to apply a ?systems biology approach? using the tools of genomic science (genome sequences, protein; DNA maps, gene expression maps, gene knockout mutation collections, and other datasets) to understand how plant hormone responsive gene networks control the growth of plants. The long-term impact of this research on agriculture and forestry is expected to be profound. This fundamental information will enable engineering of new crop varieties with superior agronomic traits and will dramatically promote the ability to engineer plants to adapt to a rapidly changing environment.Broader impacts. The broader impacts of this project will be in two areas. First, the completion of this research will result in important new results for the plant biology community ? it will produce a set of large-scale transcriptional regulatory network information for responses which are linked to all of the major growth-regulating plant hormones. These growth modules are currently very limited in availability thus this knowledge-base will have a large impact on a variety of research studies in both basic plant science and agriculture. All of the results of the research will rapidly be made accessible to the research community. An equally important broad impact area of this research program is student training, which will be provided at a variety of levels, including outreach to high school and undergraduate students as well as postdoctoral mentoring.