Collaborative Research: Relating microbial biodiversity to biological oceanographic processes

合作研究：将微生物生物多样性与生物海洋学过程联系起来

• 批准号: 0527040
• 负责人: Victoria Coles
• 金额: $ 10.03万
• 依托单位: University of Maryland Center for Environmental Sciences
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-09-15 至 2009-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0527040&HistoricalAwards=false
• 关键词: Collaborative; Research; Relating; microbial; biodiversity

Very little is known about how microbial community composition and function relate to biological oceanographic processes. This is largely due to the difficulty of integrating molecular biological-based community composition measurements into an oceanographic measurement program, even though recent data imply that microbial diversity should strongly affect many biogeochemical processes. New developments in whole-community molecular fingerprinting approaches and high throughput sequence analysis make such integration possible. In this project, the PIs will evaluate microbial community diversity in the context of environmental data, as a critical first step toward relating molecular genetic data to processes that may be represented in conceptual and numerical models of the ocean. The project is very cost effective because no additional fieldwork is requested. Instead, the PIs will use existing high quality biological oceanographic data from predominantly subtropical or tropical regions. Samples come from the SW Pacific around Australia, the North Pacific from Hawaii to Empress Seamount, the W Tropical Atlantic including the Amazon Plume, the Gulf of Mexico on the West Florida Shelf, and the San Pedro Ocean Time Series between Los Angeles and Santa Catalina Island. Molecular and oceanographic data will be analyzed by multivariate statistical techniques including ordination, cluster, and canonical analysis. Questions to be addressed include: Do physico-chemical parameters structure microbial communities? Do some microbial taxa appear together regularly, and are some taxa mutually exclusive? Can correlations be used to connect certain taxa to specific biogeochemical processes? The project includes a significant exploratory component, and is expected to generate numerous specific hypotheses to test. The results will be digitally archived and can be integrated with new data on marine microbial diversity as it becomes available. Broader impacts of the project include a connection to K-12 teaching through USC's COSEE West program, undergraduate and graduate student teaching and research, and outreach to the general public through a website.

关于微生物群落的组成和功能与生物海洋学过程的关系知之甚少。这在很大程度上是由于分子生物学为基础的社区组成的测量到海洋测量程序的整合困难，即使最近的数据表明，微生物多样性应该强烈影响许多生物地球化学过程。全群落分子指纹方法和高通量序列分析的新发展使这种整合成为可能。在这个项目中，PI将在环境数据的背景下评估微生物群落多样性，作为将分子遗传数据与海洋概念和数值模型中可能代表的过程联系起来的关键的第一步。该项目非常符合成本效益，因为不需要额外的实地工作。相反，PI将使用主要来自亚热带或热带地区的现有高质量生物海洋学数据。样本来自澳大利亚周围的西南太平洋、从夏威夷到皇后海山的北太平洋、包括亚马逊羽流在内的西热带大西洋、西佛罗里达大陆架的墨西哥湾以及洛杉矶和圣卡塔利纳岛之间的圣佩德罗海洋时间序列。分子和海洋学数据将通过多元统计技术进行分析，包括排序，聚类和典型分析。要解决的问题包括：物理化学参数结构微生物群落？有些微生物类群是否经常一起出现，有些类群是否相互排斥？相关性能否用来将某些分类群与特定的生物地球化学过程联系起来？该项目包括一个重要的探索性组成部分，预计将产生许多具体的假设进行测试。研究结果将以数字方式存档，并可与获得的海洋微生物多样性新数据相结合。该项目的更广泛的影响包括通过南加州大学的COSEE西部计划，本科生和研究生的教学和研究，以及通过网站向公众推广K-12教学的连接。