Collaborative Research: Combining Methods from Geochemistry and Molecular Biology to Predict the Functions of Microbial Communities

合作研究：结合地球化学和分子生物学的方法来预测微生物群落的功能

• 批准号: 1123689
• 负责人: Eric Boyd
• 金额: $ 28.52万
• 依托单位: Montana State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-09-01 至 2015-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1123689&HistoricalAwards=false
• 关键词: Collaborative; Research; Combining; Methods; Geochemistry

Combining geochemical data with microbial ecological data makes it possible to predict the distribution of microbial populations and the processes that they catalyze in nature. In this research we will focus on the contrasting microbial processes of methane production (e.g., methanogenesis) and methane consumption (e.g., methanotrophy) as a framework for evaluating the linkages between geochemical predictions and the distribution, diversity, and activity of organisms that catalyze these processes. The overarching rationale for targeting these biological processes is that the combined activities of methanogenesis and methanotrophy largely control the flux of the potent greenhouse gas methane to our atmosphere, the extent of which may significantly impact global climate. Defining the constraints on the distribution of microbial populations catalyzing these two processes in nature can significantly advance our understanding of the impact that a perturbation to their environment would have on their respective activities and the consequence that this may have on the global carbon cycle. Existing geochemical predictions from hydrothermal ecosystems in Yellowstone National Park, Wyoming indicate that the occurrence of populations catalyzing methane production should be highly proscribed, but that aerobic and anaerobic methanotrophy should be widespread and that populations engaged in these activities should display significant genetic diversity as a function of the spring fluid composition. The thermodynamic predictions will be used to guide experiments aimed to interpret data on the distribution of methanogens and methanotrophs and their respective activities. The integration of geochemical data and biological data will be achieved using newly developed ecological modeling tools. These models will provide a more comprehensive understanding of the extent to which the distribution, diversity, and activity of functional groups of microorganisms reflect the physical and chemical characteristics of their environment. Defining the extent to which such relationships exist using this framework has critical implications for our understanding of the constraints which led to extant biodiversity and will enable predictions of how changes in environmental conditions will affect the functioning of those microbial ecosystems. This unified research goal will engage students in hands on interdisciplinary research where they will merge the traditionally independent disciplines of geochemistry and microbial ecology. This goal will be met through the coordination of geochemical and microbiological analyses in field research settings as well as through coordinated laboratory experimentation at both Arizona State University and Montana State University. In addition, workshops will be held with the specific focus of training students in merging knowledge from these disciplines. Given this exciting area of scientific exploration and discovery, the proposed work will also result in several tangible opportunities for education and outreach, most of which are built on our previous experience and commitment to educational programs for various audiences. This includes field-and classroom-based efforts aimed at advancing scientific knowledge to other sectors of the public including K-12 students, undergraduate and graduate students, and high school and community college educators. This project also will help promote research on the geochemistry, energetics, and microbial ecology of terrestrial hot springs and active serpentinizing systems through networking among scientists worldwide.

将地球化学数据与微生物生态学数据相结合，可以预测微生物种群的分布及其在自然界中催化的过程。 在这项研究中，我们将重点关注甲烷生产的对比微生物过程（例如，产甲烷）和甲烷消耗（例如，甲烷营养）作为一个框架，用于评估地球化学预测和分布之间的联系，多样性和催化这些过程的生物体的活动。针对这些生物过程的首要理由是，甲烷生成和甲烷营养的综合活动在很大程度上控制了强温室气体甲烷向大气的通量，其程度可能会显著影响全球气候。 确定自然界中催化这两个过程的微生物种群分布的限制因素，可以大大提高我们对环境扰动对其各自活动的影响以及这可能对全球碳循环产生的后果的理解。 现有的地球化学预测，从热液生态系统在黄石国家公园，怀俄明州表明，发生的人口催化甲烷生产应高度禁止，但有氧和厌氧甲烷营养应该是广泛的，从事这些活动的人口应显示显着的遗传多样性作为一个功能的泉水组成。 热力学预测将用于指导实验，旨在解释数据的甲烷菌和甲烷氧化菌的分布和各自的活动。将利用新开发的生态建模工具实现地球化学数据和生物数据的整合。 这些模型将提供一个更全面的了解，在何种程度上的分布，多样性和微生物的功能群的活动反映其环境的物理和化学特性。 使用这个框架来定义这种关系存在的程度，对于我们理解导致现存生物多样性的限制具有重要意义，并将能够预测环境条件的变化将如何影响这些微生物生态系统的功能。这个统一的研究目标将使学生参与跨学科研究，他们将合并地球化学和微生物生态学的传统独立学科。 这一目标将通过在实地研究环境中协调地球化学和微生物分析以及通过亚利桑那州立大学和蒙大拿州立大学的协调实验室实验来实现。此外，还将举办讲习班，特别侧重于培训学生融合这些学科的知识。 鉴于这一令人兴奋的科学探索和发现领域，拟议的工作还将为教育和宣传带来一些切实的机会，其中大部分是建立在我们以前的经验和对各种受众教育计划的承诺基础上的。 这包括以实地和课堂为基础的努力，旨在向公众的其他部门，包括K-12学生，本科生和研究生，以及高中和社区大学教育工作者推进科学知识。 该项目还将通过全球科学家之间的网络，帮助促进对陆地温泉和活跃的蛇形系统的地球化学、能量学和微生物生态学的研究。