Babajanyan Sanasar G, Wolf Yuri I, Koonin Eugene V, Rochman Nash D
Computational Biology Branch, Division of Intramural Research, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA.
Institute for Implementation Science in Population Health, City University of New York, New York, NY 10027.
Res Sq. 2025 Apr 23:rs.3.rs-6280939. doi: 10.21203/rs.3.rs-6280939/v1.
Evolution of cooperation is a major, extensively studied problem in evolutionary biology. Co-operation is beneficial for a population as a whole but costly for the bearers of social traits such that cheaters enjoy a selective advantage over cooperators. Here we focus on coevolution of cooperators and cheaters in a multi-level selection framework, by modeling competition among groups composed of cooperators and cheaters. Cheaters enjoy a reproductive advantage over cooperators at the individual level, independent of the presence of cooperators in the group. Cooperators carry a social trait that provides a fitness advantage to the respective groups. In the case of absolute fitness advantage, where the survival probability of a group is independent of the composition of other groups, the survival of cooperators does not correlate with the presence of cheaters. By contrast, in the case of relative fitness advantage, where the survival probability of a group depends on the composition of all groups, the survival of cooperators positively correlates with the presence of cheaters. Increasing the strength of the social trait alone fails to ensure survival of cooperators, and the increase of the reproduction advantage of the cheaters is necessary to avoid population extinction. This unexpected effect comes from multilevel selection whereby cheaters at the individual level become altruists at the group level, enabling overall growth of the population that is essential for the persistence of cooperators. We validate these theoretical results with an agent-based model of a bacterial biofilm where emergence of the cooperative trait is facilitated by the presence of cheaters, leading to evolution of spatial organization. This finding contrasts the classical view that spatial organization facilitates cooperation. Our results suggest that, counterintuitively, cheaters often promote, not destabilize, evolution of cooperation.
合作的进化是进化生物学中一个重要且被广泛研究的问题。合作对整个种群有益,但对具有社会特征的个体来说成本高昂,以至于作弊者比合作者享有选择优势。在这里,我们通过对由合作者和作弊者组成的群体之间的竞争进行建模,关注多层次选择框架下合作者和作弊者的共同进化。作弊者在个体层面比合作者享有繁殖优势,这与群体中是否存在合作者无关。合作者具有一种社会特征,能为各自的群体提供适应性优势。在绝对适应性优势的情况下,即一个群体的生存概率与其他群体的组成无关时,合作者的生存与作弊者的存在不相关。相比之下,在相对适应性优势的情况下,即一个群体的生存概率取决于所有群体的组成时,合作者的生存与作弊者的存在呈正相关。仅增加社会特征的强度并不能确保合作者的生存,作弊者繁殖优势的增加对于避免种群灭绝是必要的。这种意想不到的效果来自多层次选择,即个体层面的作弊者在群体层面变成利他主义者,从而使种群整体增长,这对合作者的持续存在至关重要。我们用一个基于主体的细菌生物膜模型验证了这些理论结果,在该模型中,作弊者的存在促进了合作特征的出现,导致了空间组织的进化。这一发现与空间组织促进合作的经典观点形成对比。我们的结果表明,与直觉相反,作弊者通常促进而非破坏合作的进化。