COBRE: UID: PROJ 2: SPATIAL STRUCTURE AND ADAPTIVE EVOLUTION OF VIRUSES

COBRE：UID：项目 2：病毒的空间结构和自适应进化

• 批准号: 8359576
• 负责人: STEPHEN M. KRONE
• 金额: $ 21.66万
• 依托单位: UNIVERSITY OF IDAHO
• 依托单位国家: 美国
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-02-01 至 2012-01-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8359576
• 关键词: Address; Affect; Agar; Applications Grants; Automobile Driving; Bacteriophages; Behavior; Biological; Biological Models; Centers of Research Excellence; Clinical; Communities; Data; Environment; Evolution; Experimental Models; Funding; Grant; Heterogeneity; Human; Investigation; Joints; Microbial Biofilms; Molecular; National Center for Research Resources; Population; Principal Investigator; Process; Research; Research Infrastructure; Resources; Role; Shapes; Source; Structure; Surface; System; Time; United States National Institutes of Health; Virus; cost; environmental change; mathematical model; microbial; microbial community; pathogen; research study; Address; Affect; Agar; Applications Grants; Automobile Driving; Bacteriophages; Behavior; Biological; Biological Models; Centers of Research Excellence; Clinical; Communities; Data; Environment; Evolution; Experimental Models; Funding; Grant; Heterogeneity; Human; Investigation; Joints; Microbial Biofilms; Molecular; National Center for Research Resources; Population; Principal Investigator; Process; Research; Research Infrastructure; Resources; Role; Shapes; Source; Structure; Surface; System; Time; United States National Institutes of Health; Virus; cost; environmental change; mathematical model; microbial; microbial community; pathogen; research study

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. Primary support for the subproject and the subproject's principal investigator may have been provided by other sources, including other NIH sources. The Total Cost listed for the subproject likely represents the estimated amount of Center infrastructure utilized by the subproject, not direct funding provided by the NCRR grant to the subproject or subproject staff. Most microbial communities in natural and clinical settings are spatially structured, appearing as surface-associated populations such as biofilms. This structure profoundly affects the ecological and evolutionary forces that shape the community. This is particularly important in the battle against ever-evolving human pathogens that have ecological and evolutionary time scales much shorter than human time scales. Despite this, very little is known about the specific effects of spatial heterogeneity on the adaptive evolution of microbial pathogens. Thus, a joint experimental and theoretical investigation is proposed to uncover fundamental details about the role of spatial structure in driving evolutionary and ecological dynamics of viruses. A simple experimental model system will provide a framework for addressing these issues. This experimental system will be used to study the molecular adaptive evolution of bacteriophages infecting their bacterial hosts on agar plates under changing environmental conditions. In conjunction with these experiments, new spatially explicit mathematical models (stochastic cellular automata) will be developed and fit to empirical observations with the aims of predicting the behavior of the microbial systems, uncovering the underlying biological mechanisms that are most important in the adaptive evolution of viruses, and generating new hypotheses. This project will focus on the impact of spatial structure on adaptive evolution to a single change in environment and will generate preliminary data for an independent R01 grant application that addresses adaptive evolution in the presence of fluctuating environmental conditions.

该副本是利用资源的众多研究子项目之一 由NIH/NCRR资助的中心赠款提供。对该子弹的主要支持 而且，副投影的主要研究员可能是其他来源提供的 包括其他NIH来源。 列出的总费用可能 代表subproject使用的中心基础架构的估计量， NCRR赠款不直接向子弹或副本人员提供的直接资金。 自然和临床环境中的大多数微生物群落在空间上是结构化的，是表面相关的人群（例如生物膜）。这种结构深刻影响塑造社区的生态和进化力量。这在与不断发展的人类病原体的战斗中尤其重要，这些病原体的生态和进化时间比人类的时间尺度短得多。尽管如此，对于空间异质性对微生物病原体的适应性进化的特定影响知之甚少。因此，提出了联合实验和理论研究，以发现有关空间结构在驱动病毒进化和生态动力学中作用的基本细节。一个简单的实验模型系统将为解决这些问题提供一个框架。该实验系统将用于研究噬菌体在不断变化的环境条件下感染其细菌宿主的分子自适应演化。结合这些实验，将开发出新的空间显式数学模型（随机细胞自动机）并适合经验观察，目的是预测微生物系统的行为，揭示在病毒和生成新的Hypothess的适应性进化中最重要的基本生物学机制。该项目将集中于空间结构对自适应演变对环境单一变化的影响，并将为独立的R01赠款应用程序生成初步数据，该应用程序在存在波动的环境条件下解决自适应演变。