Testing models of selection with data on behavioral isolation

用行为隔离数据测试选择模型

• 批准号: 0843392
• 负责人: Stevan Arnold
• 金额: $ 10万
• 依托单位: Oregon State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-07-15 至 2010-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0843392&HistoricalAwards=false
• 关键词: Testing; models; selection; data; behavioral

This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5).Evolutionary biologists have developed a number of mathematical models to understand the process of selection on traits that arises from partner preferences. However, tests that can be used to discriminate among these models are lacking, in part because some aspects of the models are difficult to measure directly. This project will develop a novel technique for testing models of selection that result from partner preferences by comparing the predictions of alternative models with data on behavioral (or reproductive) isolation between related species. The technique will extend the power of existing data by applying the statistical approach of maximum likelihood and by using knowledge about the evolutionary relationships among the species. The investigators will test alternative models with available data sets for three divergent groups (salamanders, fishes, and flies). However, the analytical framework developed will be applicable to any set of data on behavioral isolation and for a wide range of alternative models. The investigators will make software to conduct the analysis available online, extend an existing website to illustrate alternative models and conduct a workshop on the methods at a scientific meeting. These components of the project will both provide a better understanding of selection models among empirical researchers and allow them to test alternative models on data from their own organisms of interest.

该奖项根据 2009 年美国复苏和再投资法案（公法 111-5）提供资金。进化生物学家开发了许多数学模型来理解伴侣偏好产生的性状选择过程。 然而，缺乏可用于区分这些模型的测试，部分原因是模型的某些方面难以直接测量。 该项目将开发一种新技术，通过将替代模型的预测与相关物种之间的行为（或生殖）隔离数据进行比较，来测试由伴侣偏好产生的选择模型。 该技术将通过应用最大似然统计方法和利用有关物种之间进化关系的知识来扩展现有数据的力量。 研究人员将使用三个不同群体（蝾螈、鱼类和苍蝇）的可用数据集测试替代模型。 然而，开发的分析框架将适用于任何关于行为隔离的数据集以及广泛的替代模型。 研究人员将制作在线进行分析的软件，扩展现有网站以说明替代模型，并在科学会议上举办有关方法的研讨会。 该项目的这些组成部分将使实证研究人员更好地理解选择模型，并允许他们根据自己感兴趣的生物体的数据测试替代模型。