BRC-BIO A trait-based approach to determine fungal responses to global change drivers

BRC-BIO 基于性状的方法来确定真菌对全球变化驱动因素的反应

• 批准号: 2312226
• 负责人: Adriana Romero-Olivares
• 金额: $ 47.1万
• 依托单位: New Mexico State University
• 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
• 起止时间: 2023-08-01 至 2026-07-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2312226&HistoricalAwards=false
• 关键词: BRC; BIO; trait; based; approach

This project will study how climate change affects soil fungi. Soil fungi are important for the well-being of ecosystems. For example, plants and animals would not exist without fungi because fungi provide critical resources while also carrying out important processes like recycling of organic matter. Because of how important they are, it is crucial to understand how global climate change is affecting them, and how that in turn, can affect the recycling of organic matter and the emissions of greenhouse gases. However, studying fungi has been difficult because fungi are very complicated and finding ways to study them has been difficult. This research is important because it examines ecological traits, like how fast fungi can grow, that will allow tests of how fungi are responding to global climate change. This will advance scientific knowledge needed to predict how ecosystems will look under global climate change and how that will affect the recycling of organic matter and the emission of greenhouse gases. Consequently, this project will help with the development of ideas and plans to mitigate the effects of global climate change. In addition, the research will involve undergraduate and graduate students in research by providing hands-on experiences and individualized mentoring to a diverse group of students.This research develops a trait-based approach to determine fungal responses to global change drivers. It has three objectives. The first is the creation of a trait-based framework using microbiology-based techniques combined with sophisticated molecular tools to obtain insight on how fungi are responding to global climate change and the extent of their response. The expectation is that fungal species will respond differently to global change drivers and that specific functional categories will withstand global change drivers better than others as predicted by their traits. The second objective is to test the predictive strength and accuracy of the trait-based framework under controlled laboratory conditions using mock fungal communities in microcosms. The expected outcome is that there will be an increase in the abundance of fungi that are stress tolerators as compared to non-stress tolerators when they are grown under stressful conditions; this trend is predicted to become stronger as the experiment progresses in time. The last objective will test the trait-based framework using global change field experiments that mimic predicted conditions in ecosystems to determine the generality of the framework in modeling and predicting how fungal communities will respond to climate change. This project is jointly funded by the Building Research Capacity of New Faculty in Biology program, the Established Program to Stimulate Competitive Research (EPSCoR), and the Population & Community Ecology program.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.

该项目将研究气候变化如何影响土壤真菌。土壤真菌对生态系统的健康很重要。例如，没有真菌，植物和动物就不会存在，因为真菌提供了关键的资源，同时也进行了重要的过程，如有机物的回收。由于它们的重要性，了解全球气候变化如何影响它们，以及这反过来如何影响有机物质的回收和温室气体的排放至关重要。然而，研究真菌一直很困难，因为真菌非常复杂，很难找到研究它们的方法。这项研究很重要，因为它考察了生态特征，比如真菌的生长速度，这将允许测试真菌如何应对全球气候变化。这将促进所需的科学知识，以预测生态系统在全球气候变化下的面貌，以及这将如何影响有机物质的再循环和温室气体的排放。因此，该项目将有助于制定减轻全球气候变化影响的想法和计划。此外，该研究将通过为不同群体的学生提供实践经验和个性化指导，让本科生和研究生参与研究。该研究开发了一种基于特质的方法来确定真菌对全球变化驱动因素的反应。它有三个目标。第一个是创建一个基于特征的框架，使用基于微生物学的技术与复杂的分子工具相结合，以深入了解真菌如何应对全球气候变化及其反应的程度。预期真菌物种将对全球变化驱动因素做出不同的反应，并且特定的功能类别将比其他物种更好地承受全球变化驱动因素，正如其特征所预测的那样。第二个目标是在受控的实验室条件下，使用模拟真菌群落的缩影测试的预测强度和准确性的基于性状的框架。预期的结果是，当它们在应激条件下生长时，与非应激耐受性相比，作为应激耐受性的真菌的丰度将增加;随着实验的进行，这种趋势预计会变得更强。最后一个目标将使用模拟生态系统中预测条件的全球变化现场实验来测试基于特征的框架，以确定该框架在建模和预测真菌群落如何应对气候变化方面的通用性。 该项目由生物学新教师研究能力建设项目、刺激竞争性研究的既定项目（EPSCoR）和人口社区生态学项目共同资助。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。