RoL: FELS: EAGER: A Predictive framework of metabolism as an engine of functional environmental responses across levels of biological organization

RoL：FELS：EAGER：新陈代谢的预测框架，作为跨生物组织层次的功能性环境响应的引擎

基本信息

批准号：
1838098
负责人：
Kristi Montooth
金额：
$ 30万
依托单位：
University of Nebraska-Lincoln
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2018
资助国家：
美国
起止时间：
2018-09-01 至 2022-08-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1838098&HistoricalAwards=false
关键词：
RoL FELS EAGER Predictive framework

项目摘要

Life inhabits nearly every corner of the planet, with organisms using diverse strategies to survive. Despite this, tremendous diversity in ecology, physiology, and behavior, biological processes are fueled by a set of highly similar reactions that govern metabolism. The general rules of how biological processes operating at higher levels of biological organization emerge from the reactions of metabolism and how this determines organism responses to environmental conditions are unknown. The research aims to explain a fundamental rule of life that holds across single- and multi-celled organisms: the observation that an organism's performance increases as a function of temperature to an optimal level, after which it declines as temperatures increase (i.e., the thermal performance curve). The research will test the hypothesis that the response of metabolism to temperature determines thermal performance curves through levels of biological organization, culminating in the survival and reproduction of organisms and the subsequent growth of populations. The research may have broader impact for science and society, as it will provide an experimental and mathematical research framework that can be applied to diverse systems, including socio-economically important systems, such as agricultural, pest, and disease species. Because the components of metabolism are shared between humans and the organisms studied, fundamental links between metabolism and an organism's performance will provide critical information on health issues related to metabolic disorders.The research integrates molecular, physiological, ecological, and mathematical approaches to measure how organisms respond to change in environmental temperature. The experiments will measure change in thermal performance curves in response to shifts in temperature at multiple levels of biological organization, from mitochondrial function to population growth. This measurement will be done in two well-studied systems - the fruit fly Drosophila and the ciliate Paramecium - to test the general hypothesis that plastic and adaptive metabolic responses to temperature will scale up through levels of organization to affect population-level properties such as growth rate. The research will develop a general mathematical framework using a nested set of functions to describe causal and predictive relationships that link metabolic responses up through population- and ecosystem-level responses to the environment. The framework aims to identify where rules exist, but also to discover where emergent properties arise in the biological hierarchy. This framework can be adopted by researchers working in diverse systems to link functional trait responses across levels of biological organization, and to predict how the organisms and communities that they study may be impacted by changes in the environment. The experimental design explicitly sets the stage for future work that will link (epi)genome- to-phenome responses and incorporate systems genomics approaches within this framework. The research may enhance research infrastructure for a broad community of scientists working at very different scales of biology.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

生命几乎居住在地球的每个角落，生物体使用各种策略生存。尽管如此，生态学，生理和行为的巨大多样性，生物学过程仍由一组高度相似的反应来促进代谢。从代谢的反应以及这如何决定生物对环境条件的反应中，生物组织中如何在生物组织中起作用的生物学过程的一般规则是未知的。该研究的目的是解释一种基本的生命规则，该生命构成跨单一和多细胞生物：有机体的性能随温度的函数增加到最佳水平的观察，随着温度的升高，它会降低（即热量（即热量）性能曲线）。该研究将检验以下假设：代谢对温度的反应通过生物组织的水平，最终导致生物的生存和繁殖以及随后的人群生长来决定热性能曲线。这项研究可能对科学和社会产生更大的影响，因为它将提供一个实验性和数学研究框架，该框架可应用于各种系统，包括社会经济重要的系统，例如农业，害虫和疾病物种。由于代谢的成分是在人类与研究的生物之间共享的，所以代谢与生物体的性能之间的基本联系将提供有关与代谢疾病有关的健康问题的关键信息。该研究将分子，生理，生态和数学方法整合在一起，以衡量生物体如何衡量生物体的生物体方式。响应环境温度的变化。该实验将响应从线粒体功能到种群生长的生物组织多个水平的温度变化，以响应温度的变化来衡量热性能曲线的变化。该测量将在两个良好的系统中进行 - 果蝇果蝇和纤毛甲基苯甲酸 - 以测试一般假设，即塑性和适应性代谢对温度的反应将通过组织水平扩大，以影响人群水平的特性，例如生长速度。这项研究将使用一组嵌套的功能来开发一般的数学框架，以描述通过人群和生态系统级别对环境的响应来链接代谢反应的因果关系和预测关系。该框架旨在确定规则存在的位置，同时也发现生物层次结构中出现的出现特性在哪里。该框架可以由在不同系统中工作的研究人员采用，以将跨生物组织的功能性状响应联系起来，并预测其研究的生物和社区如何受到环境变化的影响。实验设计明确为未来的工作设定了阶段，该工作将连接（EPI）基因组 - 晶状体响应，并在此框架内结合了系统基因组学方法。这项研究可以增强针对以非常不同的生物学规模的广泛科学家社区的研究基础设施。该奖项反映了NSF的法定使命，并被认为是值得通过基金会的知识分子优点和更广泛的影响来通过评估来支持的。