NSF NPGI Postdoctoral Fellowship in Biology FY 2014

2014 财年 NSF NPGI 生物学博士后奖学金

• 批准号: 1402495
• 负责人: Robert Markelz
• 金额: $ 21.6万
• 依托单位: Markelz Robert J
• 依托单位国家: 美国
• 项目类别: Fellowship Award
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-06-01 至 2017-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1402495&HistoricalAwards=false
• 关键词: NSF; NPGI; Postdoctoral; Fellowship; Biology

This action funds an NSF National Plant Genome Initiative Postdoctoral Research Fellowship in Biology for FY 2014. The fellowship supports a research and training plan in a host laboratory for the Fellow who also presents a plan to broaden participation in biology. The title of the research and training plan for this fellowship to R.J. Cody Markelz is "Develop a systems level model of resource allocation and partitioning in Brassica rapa to predict growth across multiple genotypes and environments". The host institution for the fellowship is the University of California, Davis and the sponsoring scientists are Drs. Julin Maloof and Daniel Kliebenstein.If successful, this project will significantly advance classical plant growth modeling by connecting it to quantitative genetics and metabolic network modeling. Training objectives include statistical genetics, mathematical modeling, metabolic network reconstruction, and systems biology. Broader impacts include training undergraduates and high school students through small, hands-on QTL mapping projects. Additionally, a module for middle school teachers about shade avoidance will be developed for inclusion in the Plants iView outreach program. This module will include a detailed lesson plan, the key biological concepts and national education standards addressed, and a practical guide for teaching the lessons in the classroom.The research will take a systems biology approach to investigate the interactions among genotype, response to shade, and response to nutrient availability. This project will be conducted in a genetic mapping population of Brassica rapa, which is segregating for the response to shade and nutrient availability. The objectives are to: (1) determine if shade-induced changes in nutrient use efficiency are genetically controlled; (2) link tissue-level physiological traits with the underlying metabolic networks; (3) integrate quantitative trait loci (QTL) and metabolic networks into a mathematical model of whole plant resource partitioning. The model will then be used to predict genotype-specific growth and yield responses to shade and nutrient availability. The model will be validated against datasets collected by undergraduate researchers. The whole-plant systems level dataset will be made available through a relational database that will be linked to an open-access data analysis workflow utilizing the free cloud computing resources at iPlant Collaborative.

本行动资助2014财年美国国家科学基金会国家植物基因组计划生物学博士后研究奖学金。该奖学金支持奖学金获得者在主办实验室的研究和培训计划，该奖学金获得者还提出了扩大生物学参与的计划。R.J. Cody Markelz奖学金的研究和培训计划的标题是“开发一个系统级的资源分配和分配模型，以预测油菜在多种基因型和环境中的生长”。该奖学金的主办机构是加州大学戴维斯分校（University of California, Davis）。朱利安·马鲁夫和丹尼尔·克里本斯坦。如果成功，该项目将通过将经典的植物生长模型与定量遗传学和代谢网络模型联系起来，显著地推进传统的植物生长模型。训练目标包括统计遗传学、数学建模、代谢网络重构和系统生物学。更广泛的影响包括通过小型的、实际操作的QTL测绘项目培训本科生和高中生。此外，将为中学教师开发一个关于避荫的模块，纳入植物iView外展项目。本单元将包括详细的课程计划，主要的生物学概念和国家教育标准，以及课堂教学的实践指南。该研究将采用系统生物学的方法来研究基因型、对荫蔽的反应和对养分可用性的反应之间的相互作用。该项目将在一个油菜遗传作图群体中进行，该群体正在分离对遮荫和养分可用性的反应。目的是：(1)确定遮荫引起的养分利用效率变化是否受基因控制；(2)将组织水平的生理性状与潜在的代谢网络联系起来；(3)将数量性状位点（QTL）和代谢网络整合到全植物资源分配的数学模型中。然后，该模型将用于预测基因型特异性生长和产量对阴影和养分有效性的响应。该模型将根据本科生研究人员收集的数据集进行验证。整个工厂系统级数据集将通过一个关系数据库提供，该数据库将与利用iPlant Collaborative免费云计算资源的开放访问数据分析工作流相关联。