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。土壤真菌对于生态系统的福祉很重要。例如，没有真菌就不会存在动植物，因为真菌提供关键的资源，同时还进行了重要的过程，例如回收有机物。由于它们的重要性，了解全球气候变化如何影响它们是至关重要的，以及这种情况如何影响有机物的回收和温室气体的排放。但是，研究真菌非常困难，因为真菌非常复杂，并且很难找到研究它们的方法。这项研究很重要，因为它研究了真菌的生态特征，例如真菌的增长，这将允许对真菌对全球气候变化的反应进行测试。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外观以及如何影响有机物的回收利用和温室气体的排放。因此，该项目将有助于制定思想和计划，以减轻全球气候变化的影响。此外，这项研究将涉及本科生和研究生参与研究，通过为多样化的学生提供动手经验和个性化的指导。这项研究开发了一种基于特质的方法来确定对全球变化驱动因素的真菌反应。它有三个目标。首先是使用基于微生物学的技术与复杂的分子工具相结合的基于性状的框架创建，以了解真菌如何响应全球气候变化及其反应程度。期望真菌物种对全球变化驱动因素的反应不同，并且特定的功能类别将承受与其特征所预测的其他变化驱动因素更好。第二个目标是使用缩影中的模拟真菌群落在受控实验室条件下测试基于特征的框架的预测强度和准确性。预期的结果是，与非压力公差相比，在压力条件下生长时，丰富的真菌是压力公差的；随着实验的进展，预计这种趋势会变得更强大。最后一个目标将使用全球变化字段实验测试基于特征的框架，以模仿生态系统中的条件，以确定框架在建模和预测真菌社区将如何响应气候变化时的一般性。 该项目由生物学新教师的建筑研究能力，启发竞争研究的既定计划（EPSCOR）和人口与社区生态学计划共同资助。该奖项反映了NSF的法定任务，并被认为值得通过基金会的知识分子优点和更广泛的影响审查标准来通过评估来获得支持。