在有限的同质图中,合作的演变
Peter D Taylor1, Troy Day, Geoff Wild
1Department of Mathematics and Statistics, Queen's University Kingston, Ontario K7L 3N6, Canada. peter.taylor@queensu.ca
Nature
|May 25, 2007
概括
合作可以在结构化的群体中使用包容性健身来促进合作. 合作性等位基因优势的一个简单条件适用于双过渡图,简化了进化分析.
科学领域:
- 进化生物学是进化的生物学.
- 理论生态学的理论生态学.
- 人口遗传学 人口遗传学
背景情况:
- 在有限结构化群体中选择的理论研究通常使用固定概率或包容性适应性.
- 这些措施虽然在分析上是不同的,但在特定假设下可以产生同等的结果.
- 人口结构在连续时间进化模型中经常以图形形式建模.
研究的目的:
- 导出一个简单的分析条件,用于结构化群体中合作性等位基因的选择性优势.
- 将包容性适应性分析扩展到更广泛的人口结构,包括那些以前难以计算固定概率的结构.
- 调查人口监管对合作性等位基因入侵的影响.
主要方法:
- 在连续时间进化模型中利用了包容性健身分析.
- 专注于以满足一般对称条件 (双通透性) 的图表表示的人口结构.
- 导出了一个分析条件,用于选择性优势的合作性等位基因.
主要成果:
- 一个令人惊的简单的合作性等位基因优势的分析条件是为了双过渡图得到的.
- 结果适用于广泛的人口结构,包括以前具有挑战性的人口结构.
- 在某些人口调节类型下,合作的入侵是独立于人口结构的,反映了非结构化的人口.
- 在其他类型的监管中,合作会通过高权重边缘选择合作伙伴时入侵.
结论:
- 包括性适应性分析提供了一种强大而简单的方法来理解结构化群体中的选择.
- 衍生条件为分析不同人口结构之间的合作提供了一个统一的框架.
- 人口调节机制对结构化人口中的合作是否以及如何发展具有关键影响.
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