Wood Karen E, Komarova Natalia L
Department of Mathematics, University of California Irvine, Irvine, CA, 92697, United States.
Department of Mathematics, University of California Irvine, Irvine, CA, 92697, United States.
J Theor Biol. 2018 May 14;445:166-186. doi: 10.1016/j.jtbi.2018.02.033. Epub 2018 Feb 27.
When performing complex tasks, coexistence of organisms in a shared environment can be achieved by means of different strategies. For example, individuals can evolve to complete all parts of the complex task, choosing self-sufficiency over cooperation. On the other hand, they may choose to split parts of the task and share the products for mutual benefit, such that distinct groups of the organisms specialize on a subset of elementary tasks. In contrast to the existing theory of specialization and task sharing for cells in multicellular organisms (or colonies of social insects), here we describe a mechanism of evolutionary branching which is based on cooperation and division of labor, and where selection happens at the individual level. Using a class of mathematical models and the methodology of adaptive dynamics, we investigate the conditions for such branching into distinct cooperating subgroups to occur. We show that, as long as performing multiple tasks is associated with additional cost, branching occurs for a wide parameter range, and this scenario is stable against the invasion of cheaters. We hypothesize that over time, this can lead to evolutionary speciation. Examples from bacterial evolution and the connection with the Black Queen Hypothesis are discussed. It is our hope that the theory of diversification rooted in cooperation may inspire further ecological research to identify more evolutionary examples consistent with this speciation mechanism.
在执行复杂任务时,生物体在共享环境中的共存可以通过不同策略来实现。例如,个体可以进化以完成复杂任务的所有部分,选择自给自足而非合作。另一方面,它们可能选择划分任务的部分并共享成果以实现互利,从而使不同的生物体群体专门从事一组基本任务的子集。与多细胞生物(或群居昆虫群体)中细胞的专业化和任务共享的现有理论不同,在这里我们描述了一种基于合作和分工的进化分支机制,其中选择发生在个体层面。使用一类数学模型和自适应动力学方法,我们研究了这种分支形成不同合作亚群的条件。我们表明,只要执行多项任务会带来额外成本,分支就会在很宽的参数范围内发生,并且这种情况对于作弊者的入侵是稳定的。我们假设随着时间的推移,这可能导致进化物种形成。讨论了细菌进化的例子以及与黑皇后假说的联系。我们希望基于合作的多样化理论能够激发进一步的生态学研究,以识别更多与这种物种形成机制一致的进化实例。