Collaborative Research and RUI: Auxin fluxes in the Arabidopsis Root Apex--a Combined Experimental and Computational Approach

摘要：根隐藏在土壤中，常常被忽视，它对植物的生长至关重要，它探索土壤以获得水分和养分，并提供锚定。根的形态和功能由植物激素生长素调节，生长素由植物中的专门蛋白质家族产生和运输。这些蛋白质的活性被广泛理解，但定量方面仍不清楚。该项目的研究目标旨在通过结合实验和计算方法来提高生长素运输的知识。这个多学科项目的实验方法包括高分辨率测量生长素本身的运动，以及生长素介导的反应，如细胞生长的传播。这些实验将使用植物生物学中的“果蝇”拟南芥。几乎透明的根是显微镜工作的一个显着优势，生长素相关突变体的可用仓库是首屈一指的。该项目的计算方面将完善由克雷默开发的EASIM模型，该模型已被公认为生长素运输的强大计算工具。模型和实验结果将填补生长素在根内运输流程图中的几个空白。这将与当代的努力，以了解生长素作用的分子生物学协同作用，也可能有助于应用的努力，以提高农业生产力，提高根效率。将免费提供SIMULINK。该奖项将与西蒙岩石大学和马萨诸塞大学阿默斯特分校的本科生合作，并将提供生物学上严格和计算丰富的培训，这一组合越来越被认为对未来的劳动力至关重要。

Abstract: Hidden by soil and often ignored, the root is vital to the growing plant, exploring the soil to get water and nutrients and providing anchorage. Root form and function is regulated by the plant hormone auxin, which is produced and transported by specialized protein families in the plant. The activity of these proteins is understood in broad outline, but quantitative aspects remain unclear. The research goals of the project aim to advance knowledge of auxin transport by combining experimental and computational approaches. The experimental approaches of this multidisciplinary project include high-resolution measurements of the movement of auxin itself, as well as of the propagation of auxin-mediated responses, such as cell growth. The experiments will use the species Arabidopsis thaliana, the "fruit fly" of plant biology. The nearly transparent roots are a significant advantage for microscope work, and the available storehouse of auxin-related mutants is second to none. The computational aspect of the project will refine AuxSim, a model under development by Kramer that is already recognized as a powerful computational tool for auxin transport. The refined model and experimental results will fill in several blanks in the flow-chart for auxin transport within the root. This will synergize with contemporary efforts to understand the molecular biology of auxin action, and may also help applied efforts to enhance agricultural productivity by improving root efficiency. AuxSim will be made freely available. The award will partner undergraduates at Simon's Rock and UMass Amherst, and will provide training that is both biologically rigorous and computationally rich, a combination increasingly considered essential for tomorrow's workforce.