Assortment and the analysis of natural selection on social traits.
Assortment and the analysis of natural selection on social traits.
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社会特征的分类和自然选择分析。
DOI：
10.1111/evo.13365
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发表时间：
2017
期刊：
影响因子：
--
通讯作者：
McDonald GC
中科院分区：
文献类型：
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作者：
McDonald GC
进化生物学中的一个中心问题是确定社会互动是否以及如何有助于自然选择。表型数据的一个关键方法是社会选择分析，在这种分析中，只有当个人的特征和他们的社会伙伴之间存在相关性(非随机表型分类)时，来自社会伙伴的适合度效应才有助于选择。然而，以表型分类的测量为中心的社会选择的使用存在着不一致。在这里，我们使用数据分析和模拟来解决这些不一致之处，表明：(I)并不是所有的分类衡量标准都适用于社会选择分析；以及(Ii)分类的解释以及如何检测非随机分类，将取决于衡量分类的尺度。我们讨论了与亲属选择理论的联系，并为社会选择方法提供了实践指南。
A central problem in evolutionary biology is to determine whether and how social interactions contribute to natural selection. A key method for phenotypic data is social selection analysis, in which fitness effects from social partners contribute to selection only when there is a correlation between the traits of individuals and their social partners (nonrandom phenotypic assortment). However, there are inconsistencies in the use of social selection that center around the measurement of phenotypic assortment. Here, we use data analysis and simulations to resolve these inconsistencies, showing that: (i) not all measures of assortment are suitable for social selection analysis; and (ii) the interpretation of assortment, and how to detect nonrandom assortment, will depend on the scale at which it is measured. We discuss links to kin selection theory and provide a practical guide for the social selection approach.