Obolski Uri, Lewin-Epstein Ohad, Even-Tov Eran, Ram Yoav, Hadany Lilach
Department of Molecular Biology and Ecology of Plants, Tel-Aviv University, 6997801, Tel Aviv, Israel.
Current address: Department of Zoology, University of Oxford, Oxford, UK.
BMC Evol Biol. 2017 Jun 17;17(1):143. doi: 10.1186/s12862-017-0983-2.
Natural selection favors changes that lead to genotypes possessing high fitness. A conflict arises when several mutations are required for adaptation, but each mutation is separately deleterious. The process of a population evolving from a genotype encoding for a local fitness maximum to a higher fitness genotype is termed an adaptive peak shift.
Here we suggest cooperative behavior as a factor that can facilitate adaptive peak shifts. We model cooperation in a public goods scenario, wherein each individual contributes resources that are later equally redistributed among all cooperating individuals. We use mathematical modeling and stochastic simulations to study the effect of cooperation on peak shifts in both panmictic and structured populations. Our results show that cooperation can substantially affect the rate of complex adaptation. Furthermore, we show that cooperation increases the population diversity throughout the peak shift process, thus increasing the robustness of the population to sudden environmental changes.
We provide a new explanation to adaptive valley crossing in natural populations and suggest that the long term evolution of a species depends on its social behavior.
自然选择有利于导致具有高适应性的基因型的变化。当适应需要多个突变,但每个突变单独都是有害的时,就会出现冲突。种群从编码局部适应度最大值的基因型进化到更高适应度基因型的过程称为适应性峰值转移。
在这里,我们提出合作行为是可以促进适应性峰值转移的一个因素。我们在公共物品场景中对合作进行建模,其中每个个体贡献资源,这些资源随后在所有合作个体之间平均重新分配。我们使用数学建模和随机模拟来研究合作对随机交配和结构化种群中峰值转移的影响。我们的结果表明,合作可以显著影响复杂适应的速率。此外,我们表明合作在整个峰值转移过程中增加了种群多样性,从而提高了种群对突然环境变化的稳健性。
我们为自然种群中的适应性山谷穿越提供了一种新解释,并表明一个物种的长期进化取决于其社会行为。