COBRE: UID: PROJ 3: MOLECULAR DISSECTION OF ADAPTIVE EVOLUTION

COBRE：UID：项目 3：自适应进化的分子解剖

• 批准号: 7959529
• 负责人: CELESTE J BROWN
• 金额: $ 27.28万
• 依托单位: UNIVERSITY OF IDAHO
• 依托单位国家: 美国
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-02-01 至 2010-01-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7959529
• 关键词: Achievement; Address; Amino Acid Substitution; Bacteriophages; Biochemical; Biological Assay; Biological Models; Centers of Research Excellence; Computer Retrieval of Information on Scientific Projects Database; Dissection; Drug resistance; Environment; Evolution; Funding; Gene Expression; Gene Expression Regulation; Goals; Grant; Human; Institution; Lead; Longevity; Modeling; Molecular; Nucleic Acid Regulatory Sequences; Pathway interactions; Process; Proteins; Relative (related person); Research; Research Personnel; Resources; Source; Temperature; Testing; Time; United States National Institutes of Health; Virulence; base; microbial; mutant; predictive modeling; Achievement; Address; Amino Acid Substitution; Bacteriophages; Biochemical; Biological Assay; Biological Models; Centers of Research Excellence; Computer Retrieval of Information on Scientific Projects Database; Dissection; Drug resistance; Environment; Evolution; Funding; Gene Expression; Gene Expression Regulation; Goals; Grant; Human; Institution; Lead; Longevity; Modeling; Molecular; Nucleic Acid Regulatory Sequences; Pathway interactions; Process; Proteins; Relative (related person); Research; Research Personnel; Resources; Source; Temperature; Testing; Time; United States National Institutes of Health; Virulence; base; microbial; mutant; predictive modeling

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. Microbial evolution occurs on a time scale that is rapid relative to the human lifespan and can lead to changes in virulence, host and drug resistance. The long term goal of this project is to determine whether there are general principles that can be used to predict the molecular basis of short term adaptive evolution. The focus of the proposal is to develop a deeper understanding of the mechanistic basis of adaptive evolution using icosahedral bacteriophage as a model system. The specific aims are 1) to determine the structural basis of protein adaptation using biochemical and biophysical principles; and 2) to determine the contribution of regulatory substitutions to adaptive evolution. To address the first aim, we will identify amino acid substitutions that increase or decrease temperature range in evolved phage and dissect the biophysical mechanisms underlying these adaptations. We will use this information to build a predictive model of thermal adaptation and test this model by predicting the relative temperature range of phages taken from the environment, and by constructing predicted thermal mutants in a related phage. To address the second aim, we will use gene expression and phenotypic assays to determine which experimentally observed changes in regulatory regions exert their adaptive effects by altering gene expression. We will also determine the magnitude of the changes and the context in which they are adaptive and identify selective conditions that promote changes in gene regulation. Successful achievement of these aims will enhance our ability to predict the probable pathways of adaptive evolution.

该副本是利用众多研究子项目之一 由NIH/NCRR资助的中心赠款提供的资源。子弹和 调查员（PI）可能已经从其他NIH来源获得了主要资金， 因此可以在其他清晰的条目中代表。列出的机构是 对于中心，这不一定是调查员的机构。 微生物进化发生在相对于人类寿命快速的时间尺度上发生，并可能导致毒力，宿主和耐药性的变化。该项目的长期目标是确定是否有一般原则可以用于预测短期自适应演化的分子基础。该提案的重点是使用二十面体噬菌体作为模型系统，对自适应进化的机理基础有更深入的了解。具体目的是1）使用生化和生物物理原理确定蛋白质适应的结构基础； 2）确定法规替代对适应性进化的贡献。为了解决第一个目的，我们将确定氨基酸取代，这些氨基酸取代增加或降低进化的噬菌体中的温度范围，并剖析这些适应性的生物物理机制。我们将使用此信息来构建热适应性的预测模型，并通过预测从环境中取出的噬菌体的相对温度范围，并通过在相关噬菌体中构建预测的热突变体来测试该模型。为了解决第二个目标，我们将使用基因表达和表型测定来确定哪些实验观察到的调节区域的变化通过改变基因表达来发挥其适应性作用。我们还将确定变化的大小和它们具有自适应的环境，并确定促进基因调节变化的选择性条件。这些目标的成功实现将增强我们预测适应性进化的可能途径的能力。