IntBIO Collaborative Research: Assessing drivers of the nitrogen-fixing symbiosis at continental scales
IntBIO Collaborative Research: Assessing drivers of the nitrogen-fixing symbiosis at continental scales
批准号:
2316269
负责人:
Claudia Solis-Lemus
金额:
$23.92万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2023
资助国家:
美国
项目状态:
未结题
起止时间:
2023-08-01 至 2027-07-31
中文摘要
氮是地球上所有生命的必需营养素。它也是大气中最丰富的元素,但大多数生物无法直接从空气中获得它。 只有某些特定的微生物才有能力将大气中的氮转化为生物有用的形式,这一过程称为固氮。 这些微生物中的一些是自由生活的,但大多数生活在植物根部的密切共生关系中,将氮交换为碳。 这种固氮共生关系是全球氮循环的核心组成部分,也是农业系统的核心,因为氮通常是作物生长的限制因素。因此,必须了解固氮植物-细菌伙伴关系在自然界中是如何形成的,以及它们如何应对充满挑战和不断变化的环境。该项目的目的是提供一个数据密集型框架,以了解植物和细菌如何选择它们的合作伙伴,以及这种选择如何影响和响应周围的物种,土壤和气候。 该项目的第二个目的是培训来自科学领域代表性不足的群体的学生。 学生将准备数据密集型的职业生涯,现在需要跨干学科使用创新的导师计划和跨学科的研究,包括实地考察,实验室工作,该项目将通过氖利用NSF赞助的生态监测资源调查北美大陆固氮细菌和其他与植物根部相关的微生物的多样性(国家生态观测网)。在45个氖站点中的每一个站点,环境数据将与关于固氮共生的数据相结合。 具体来说,研究人员将对土壤和根瘤中的微生物组进行采样,并将分析叶片同位素,以确定固氮共生体的功能水平。 利用这些不同来源的数据,PI将能够确定微生物和植物伙伴是否都受到相同的环境因素的限制,例如干旱。 他们还将能够确定植物或微生物伴侣的选择性在多大程度上限制了这种关联的程度。 此外,通过研究生命树中的模式,PI将能够推断高度特异性的伙伴关系是否在进化过程中持续存在。 最后,模型将用于解决所有数据源的综合问题。 例如,一个模型可以测试干旱环境有利于高度特定关联的预测,微生物和植物在这些压力环境中选择特定的合作伙伴。该项目由BIO新兴前沿计划和刺激竞争研究的既定计划(EPSCoR)联合资助该奖项反映了NSF的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
Nitrogen is an essential nutrient for all life on earth. It is also the most abundant element in the atmosphere, but most organisms cannot access it from the air directly. Only certain specialized microbes have the ability to convert nitrogen in the atmosphere into a biologically useful form in a process known as nitrogen fixation. Some of these microbes are free-living, but most live in a close symbiotic association within the roots of plants, exchanging nitrogen for carbon. This nitrogen-fixing symbiosis is a central component of the global nitrogen cycle, and it is central to agricultural systems because nitrogen is often the limiting factor for crop growth. It is therefore imperative to understand how nitrogen-fixing plant-bacterial partnerships form in nature and how they respond to an environment filled with challenges and in constant flux. The purpose of this project is to provide a data-intensive framework to learn how plants and bacteria choose their partners and how this choice influences and responds to surrounding species, soil, and climate. A second purpose of the project is to train students from groups underrepresented in science. Students will be prepared for the data-intensive careers now needed across STEM disciplines using an innovative mentorship program and interdisciplinary research including fieldwork, laboratory work, and computational biology.The project will investigate the diversity of nitrogen-fixing bacteria and other microbes associating with plant roots across the North American continent using NSF-sponsored ecological monitoring resources through NEON (the National Ecological Observatory Network). At each of 45 NEON sites, environmental data will be combined with data on the nitrogen-fixing symbiosis. Specifically, investigators will sample the microbiome in the soil and root nodules, and will assay leaf isotopes to determine the level of function of nitrogen-fixing symbionts. Leveraging data from these different sources, the PIs will be able to determine whether microorganisms and plant partners are each limited by the same environmental factors, such as aridity. They will also be able to determine the extent to which choosiness of plant or microbe partners limit the extent of the association. In addition, by examining patterns in the tree of life, the PIs will be able to infer whether highly specific partnerships have persisted across evolutionary time. Finally, models will be used to address synthetic questions across all data sources. For example, a model can test the prediction that arid environments favor highly specific associations, in which both microbes and plants choose specific partners in those stressful settings.This project is jointly funded by the BIO Emerging Frontiers Program and the Established Program to Stimulate Competitive Research (EPSCoR).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.
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CAREER: Towards Scalable and Robust Inference of Phylogenetic Networks
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批准号:2144367
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项目类别:Continuing Grant
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资助金额:$171.12万
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财政年份:2022
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负责人:Claudia Solis-Lemus
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依托单位:
海外基金