Department of Evolutionary Biology and Environmental Studies, University of Zurich, Winterthurerstrasse, 190, Zurich CH-8057, Switzerland.
Proc Biol Sci. 2021 Aug 25;288(1957):20211291. doi: 10.1098/rspb.2021.1291. Epub 2021 Aug 18.
Coevolution can sculpt remarkable trait similarity between mutualistic partners. Yet, it remains unclear which network topologies and selection regimes enhance trait matching. To address this, we simulate coevolution in topologically distinct networks under a gradient of mutualistic selection strength. We describe three main insights. First, trait matching is jointly influenced by the strength of mutualistic selection and the structural properties of the network where coevolution is unfolding. Second, the strength of mutualistic selection determines the network descriptors better correlated with higher trait matching. While network modularity enhances trait matching when coevolution is weak, network connectance does so when coevolution is strong. Third, the structural properties of networks outrank those of modules or species in determining the degree of trait matching. Our findings suggest networks can both enhance or constrain trait matching, depending on the strength of mutualistic selection.
共进化可以塑造互惠共生伙伴之间显著的相似特征。然而,目前尚不清楚哪种网络拓扑结构和选择机制可以增强特征匹配。为了解决这个问题,我们在不同拓扑结构的网络中,在互惠选择强度的梯度下模拟共进化。我们总结了三个主要发现。首先,特征匹配受到互惠选择强度和共进化展开的网络结构属性的共同影响。其次,互惠选择的强度决定了与更高特征匹配更相关的网络描述符。当共进化较弱时,网络模块性增强特征匹配,而当共进化较强时,网络连接度增强特征匹配。第三,网络的结构属性在决定特征匹配程度方面优于模块或物种的结构属性。我们的研究结果表明,网络可以根据互惠选择的强度增强或限制特征匹配。