School of Biology, University of St Andrews, Dyers Brae, St Andrews KY16 9TH, UK.
Institute for Advanced Study in Toulouse, 21 Allée de Brienne, Toulouse, France.
Biol Lett. 2020 Mar;16(3):20190742. doi: 10.1098/rsbl.2019.0742. Epub 2020 Mar 18.
Genetic relatedness is a key driver of the evolution of cooperation. One mechanism that may ensure social partners are genetically related is kin discrimination, in which individuals are able to distinguish kin from non-kin and adjust their behaviour accordingly. However, the impact of kin discrimination upon the overall level of cooperation remains obscure. Specifically, while kin discrimination allows an individual to help more-related social partners over less-related social partners, it is unclear whether and how the population average level of cooperation that is evolutionarily favoured should differ under kin discrimination versus indiscriminate social behaviour. Here, we perform a general mathematical analysis in order to assess whether, when and in which direction kin discrimination changes the average level of cooperation in an evolving population. We find that kin discrimination may increase, decrease or leave unchanged the average level of cooperation, depending upon whether the optimal level of cooperation is a convex, concave or linear function of genetic relatedness. We develop an extension of the classic 'tragedy of the commons' model of cooperation in order to provide an illustration of these results. Our analysis provides a method to guide future research on the evolutionary consequences of kin discrimination.
遗传关联性是合作进化的关键驱动因素。一种可以确保社会伙伴具有遗传关联性的机制是亲缘识别,即个体能够区分亲属和非亲属,并相应地调整自己的行为。然而,亲缘识别对合作的总体水平的影响仍然不清楚。具体来说,虽然亲缘识别允许个体帮助更相关的社会伙伴而不是不太相关的社会伙伴,但尚不清楚在亲缘识别与无差别社会行为下,进化上有利的合作的人口平均水平是否以及如何不同。在这里,我们进行了一般的数学分析,以评估在进化的群体中,亲缘识别是否以及在何种程度上改变了合作的平均水平。我们发现,亲缘识别可能会增加、减少或保持合作的平均水平不变,这取决于合作的最佳水平是遗传关联性的凸函数、凹函数还是线性函数。我们扩展了经典的“公地悲剧”合作模型,以举例说明这些结果。我们的分析为未来研究亲缘识别的进化后果提供了一种方法。