Montiglio Pierre-Olivier, McGlothlin Joel W, Farine Damien R
Department of Biology & Redpath Museum McGill University Montreal QC Canada.
Department of Biological Sciences Virginia Tech Blacksburg VA USA.
Ecol Evol. 2017 Dec 27;8(3):1451-1464. doi: 10.1002/ece3.3753. eCollection 2018 Feb.
Organisms express phenotypic plasticity during social interactions. Interacting phenotype theory has explored the consequences of social plasticity for evolution, but it is unclear how this theory applies to complex social structures. We adapt interacting phenotype models to general social structures to explore how the number of social connections between individuals and preference for phenotypically similar social partners affect phenotypic variation and evolution. We derive an analytical model that ignores phenotypic feedback and use simulations to test the predictions of this model. We find that adapting previous models to more general social structures does not alter their general conclusions but generates insights into the effect of social plasticity and social structure on the maintenance of phenotypic variation and evolution. Contribution of indirect genetic effects to phenotypic variance is highest when interactions occur at intermediate densities and decrease at higher densities, when individuals approach interacting with all group members, homogenizing the social environment across individuals. However, evolutionary response to selection tends to increase at greater network densities as the effects of an individual's genes are amplified through increasing effects on other group members. Preferential associations among similar individuals (homophily) increase both phenotypic variance within groups and evolutionary response to selection. Our results represent a first step in relating social network structure to the expression of social plasticity and evolutionary responses to selection.
生物体在社会互动过程中表现出表型可塑性。相互作用表型理论探讨了社会可塑性对进化的影响,但尚不清楚该理论如何应用于复杂的社会结构。我们将相互作用表型模型应用于一般社会结构,以探究个体之间社会联系的数量以及对表型相似社会伙伴的偏好如何影响表型变异和进化。我们推导了一个忽略表型反馈的分析模型,并使用模拟来检验该模型的预测。我们发现,将先前的模型应用于更一般的社会结构并不会改变其总体结论,但能深入了解社会可塑性和社会结构对表型变异维持及进化的影响。当相互作用发生在中等密度时,间接遗传效应对方差的贡献最高,而在较高密度时,当个体接近与所有群体成员相互作用时,这种贡献会降低,从而使个体间的社会环境趋于同质化。然而,随着个体基因对其他群体成员的影响不断放大,对选择的进化响应在更大的网络密度下往往会增加。相似个体之间的优先关联(同质性)会增加群体内的表型方差以及对选择的进化响应。我们的研究结果代表了将社会网络结构与社会可塑性的表达以及对选择的进化响应联系起来的第一步。