Collaborative Research: A Direct Modeling Approach for Phylogenetic Comparative Analysis
Collaborative Research: A Direct Modeling Approach for Phylogenetic Comparative Analysis
批准号:
0542360
负责人:
Aaron King
金额:
$14.41万
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
项目状态:
已结题
起止时间:
2005-09-01 至 2010-08-31
中文摘要
这项研究旨在为生物学家提供实用的工具,这些生物学家使用跨物种比较来确定塑造物种多样性模式的重要功能,生态或历史因素。例如:艾滋病毒毒力的演变是否与宿主之间的传播率有关?哪些环境因素对进化的速度影响最大,进化的力量和方向是什么?这类广泛的问题都涉及适应性进化(即,自然选择的方向和强度)。所有现有的方法都存在使用完全中性的进化模型的显著缺点。也就是说,以前的方法无法解释自然选择,尽管它是我们感兴趣的核心特征。这里开发的方法是迄今为止最全面的。它同时解释了随机的进化波动(如遗传漂变)、共同祖先和自然选择(在多种适应机制下)。本书提供了将科学假设表述为明确的数学模型的方法,然后每个模型都可以与数据拟合。现代模型选择理论就是要找出最佳支持模型。因为在这种方法中,感兴趣的因果因素被明确地建模并直接针对数据进行测试,科学家将能够使用这些方法来识别进化过程的哪些方面是最重要的,描述这些进化力量的相对强度和方向,并了解它们如何影响进化的克里思和模式。进化和生态生物学。它被用来识别和研究那些对我们今天看到的生命多样性产生重要影响的因素。了解过去重要的环境,功能和遗传机制对于规划未来的保护策略至关重要。它在规划控制人类疾病的有效战略方面也很重要。例如,对抗艾滋病毒的两条战线,即预测耐药性和免疫逃逸突变的传播,依赖于对艾滋病毒如何响应自然选择而进化以及艾滋病毒在宿主内部和宿主之间的进化如何不同的理解。除了环境科学,现在人们普遍认识到,功能研究(在有机体,生物化学或基因水平)需要应用比较方法。资助的研究将提供实用的工具,使比较生物学家能够对他们的假设进行更有力的检验。
英文摘要
The funded research aims to provide practical tools for biologists who use cross-species comparisons to identify significant functional, ecological, or historical factors shaping the patterns of diversity among species. For example: is the evolution of HIV virulence related to rates of transmission among hosts? Which environmental factors most strongly influence the rate of evolution, and what are the strengths and directions of evolution? This broad class of questions all involve adaptive evolution (i.e., the direction and strength of natural selection). All existing methods share the significant shortcoming in using a completely neutral model of evolution. That is, previous methods fail to account for natural selection, despite the fact that it is the central feature of interest. The method developed here is the most comprehensive to date. It simultaneously accounts for random evolutionary fluctuations (such as genetic drift), common ancestry, and natural selection (under multiple adaptive regimes). Methods are provided for formulating scientific hypotheses as explicit mathematical models, each of which can then be fit to the data. Modern model-selection theory is then to identify the best-support model or models. Because in this approach, the causal factors of interest are explicitly modeled and tested directly against data, scientists will be able to use these methods to identify which aspects of the evolutionary process are most important, describe the relative strengths and directions of these evolutionary forces, and understand how they have influenced the tempo and mode of evolution.The comparative method is a fundamental tool in organismal, evolutionary and ecological biology. It is used to identify and study the factors which have been important in producing the diversity of life we see today. Understanding the significant environmental, functional, and genetic mechanisms operative in the past is critical for planning conservation strategies for the future. It is also important in planning effective strategies to control human disease. For example, two fronts in the battle against HIV, predicting the spread of drug-resistance and immune-escape mutations, rely on an understanding of how HIV evolves in response to natural selection and how HIV evolution differs within and among hosts. Beyond the environmental sciences, it is now widely appreciated that studies of function (at the organismal, biochemical, or gene level) require the application of the comparative method.The funded research will provide practical tools to enable comparative biologists to make stronger tests of their hypotheses.
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资助金额:$6.08万
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财政年份:2005
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负责人:Aaron King
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依托单位:
EID: Collaborative Research: The Interplay of Extrinsic and Intrinsic Factors in Epidemiological Dynamics: Cholera as a Case Study
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资助金额:$9.0万
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财政年份:2000
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负责人:Aaron King
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依托单位:
国内基金
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