GRK 2466: Network, exchange, and training program to understand plant resource allocation (NEXTplant)

GRK 2466：了解工厂资源分配的网络、交流和培训计划 (NEXTplant)

• 批准号: 391465903
• 金额: --
• 依托单位: Heinrich-Heine-Universität Düsseldorf
• 依托单位国家: 德国
• 项目类别: International Research Training Groups
• 财政年份: 2019
• 资助国家: 德国
• 起止时间: 2018-12-31 至 2022-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/391465903?language=en
• 关键词: GRK; 2466; Network; exchange; training

The sessile lifestyle of plants requires extraordinary plasticity. A given plant genotype allows for a broad range of phenotypes that are determined by complex interactions between environment and genotype. It is currently not possible to ab initio predict a plant’s phenotype from its genotype for a given environment. Resolving the genotype-phenotype relationship represents an important fundamental problem in biology and the development of models that predict phenotypes for given environments from genotypes denotes an important challenge, both for fundamental as well as for applied science. The International Research Training Group NEXTplant will focus on developing models that predict resource allocation to structure and growth, defense and stress response, nutrient acquisition, and reproduction in photosynthetic organisms.The resource allocation phenotype will be addressed from multiple angles and environmental contexts, in a small set of genetically tractable and well-characterized organisms that generate their carbon resources by photosynthesis. The experimental design of NEXTplant projects follows a simulate/learn-design-build-test-cycle that depends on close interactions between experimental and computational biologists. Hence projects are led by teams of theoretical and experimental biologists. This research program provides a timely training environment for doctoral researchers (and also for the faculty) at the interphase between theoretical and experimental biology and in the field of data-driven knowledge generationNEXTplant training is organized as a four-year program with a bipartite curriculum: The first year emphasizes training of the cohort in theoretical biology, statistics and computational biology, model building, and synthetic biology. The ensuing three-year dissertation research integrates the theoretical foundations laid in the first year with independent research and international experience.NEXTplant builds on a decade of interactions between MSU and HHU in undergraduate and graduate training. MSU groups will focus on how perception and transfer of environmental cues affects resource allocation and growth, whereas HHU will focus on resource acquisition and distribution, and maintenance processes. MSU contributes outstanding research infrastructure, such as non-invasive phenotyping of photosynthetic performance, whereas HHU provides biological imaging technologies, metabolic analysis, quantitative genetics, and theoretical biology.

植物的固着生活方式需要非凡的可塑性。给定的植物基因型允许由环境和基因型之间的复杂相互作用决定的广泛的表型。目前不可能从头开始预测植物的表型，从它的基因型为给定的环境。解决基因型-表型关系是生物学中的一个重要基本问题，而根据基因型预测给定环境表型的模型的开发对于基础科学和应用科学都是一个重要挑战。国际研究培训小组NEXTplant将专注于开发模型，预测光合生物的结构和生长，防御和应激反应，营养物质获取和繁殖的资源分配。资源分配表型将从多个角度和环境背景下解决，在一小部分遗传上易于处理和特征良好的生物体中，通过光合作用产生碳资源。NEXTplant项目的实验设计遵循模拟/学习-设计-构建-测试-循环，这取决于实验和计算生物学家之间的密切互动。因此，项目由理论和实验生物学家团队领导。该研究计划为博士研究人员（以及教师）提供了一个及时的培训环境，在理论和实验生物学之间的过渡阶段以及数据驱动的知识生成领域NEXTplant培训是一个为期四年的计划，具有双边课程：第一年强调理论生物学，统计学和计算生物学，模型构建和合成生物学的队列培训。接下来的三年论文研究将第一年奠定的理论基础与独立研究和国际经验相结合。NEXTplant建立在MSU和HHU在本科和研究生培训方面十年的互动基础上。MSU小组将专注于环境线索的感知和转移如何影响资源分配和增长，而HHU将专注于资源获取和分配以及维护过程。密歇根州立大学提供杰出的研究基础设施，如光合性能的非侵入性表型，而HHU提供生物成像技术，代谢分析，定量遗传学和理论生物学。