NSF Postdoctoral Research Fellowship in Biology

NSF 生物学博士后研究奖学金

• 批准号: 0805723
• 负责人: Kathryn Docherty
• 金额: --
• 依托单位: Docherty Kathryn M
• 依托单位国家: 美国
• 项目类别: Fellowship
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-07-01 至 2010-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0805723&HistoricalAwards=false
• 关键词: NSF; Postdoctoral; Research; Fellowship; Biology

This action funds an NSF Postdoctoral Fellowship in Biology for FY 2008. The fellowship supports a research and training plan entitled "Examining microbial biodiversity and spatial-temporal distribution using phylogenetic clustering and overdispersion analyses." The Fellow is Kathryn M. Docherty and the sponsoring scientist is Professor Jessica L. Green at the University of Oregon Center for Ecology and Evolutionary Biology. A very diverse community of microorganisms plays critical roles in biogeochemical cycling and ecosystem function yet we do not have an in-depth knowledge of these roles in linking spatial, temporal and environmental variation. This project examines nitrogen-cycle related microbial biodiversity using two powerful and cutting-edge informatics tools, phylogenetic clustering and over-dispersion analyses, to compare microbial communities across several levels of spatial and seasonal gradients. The advantage of using this highly computational approach over traditional diversity measures is that phylogenetic relatedness can be compared to ecological similarity, so that ecological trait conservatism and redundancy can be examined and functional microbial diversity explored, within the context of environmental and evolutionary history. Until recently, microorganisms were assumed to be globally distributed and have fundamentally different spatial scaling relationships relative to macro-organisms. However, recent studies suggest that microbial biodiversity is similar to higher organisms and that scaling can result from environmental heterogeneity and dispersal history. This project uses various datasets collected over broad spatial, temporal and environmental scales and uses novel bioinformatics approaches to examine and compare several different functional microbial communities to each other, as well as to plant and abiotic data. The training plan provides a unique opportunity in biostatistical, mathematical and theoretical modeling as well as professional networking, mentoring and career-development opportunities.

这项行动为2008财政年度的NSF生物学博士后奖学金提供资金。该研究金支持一项研究和培训计划，题为“利用系统发育聚类和过度分散分析研究微生物生物多样性和时空分布。”我的朋友是凯瑟琳M。多切蒂和赞助科学家是杰西卡教授。俄勒冈州大学生态学和进化生物学中心的绿色。一个非常多样化的微生物群落在地球化学循环和生态系统功能中发挥着关键作用，但我们没有深入了解这些作用在连接空间，时间和环境变化。该项目使用两个强大的和先进的信息学工具，系统发育聚类和过度分散分析，研究氮循环相关的微生物生物多样性，比较微生物群落在几个层次的空间和季节梯度。使用这种高度计算的方法比传统的多样性措施的优点是，系统发育相关性可以比较生态相似性，使生态性状的保守性和冗余可以检查和功能微生物多样性探索，在环境和进化历史的背景下。直到最近，微生物还被认为是全球分布的，并且相对于大型生物具有根本不同的空间尺度关系。然而，最近的研究表明，微生物的生物多样性是类似于高等生物，规模可能会导致环境异质性和分散的历史。该项目使用在广泛的空间，时间和环境尺度上收集的各种数据集，并使用新的生物信息学方法来检查和比较几种不同的功能微生物群落，以及植物和非生物数据。该培训计划提供了生物统计，数学和理论建模以及专业网络，指导和职业发展机会的独特机会。