Curlis John David, Davis Rabosky Alison R, Holmes Iris A, Renney Timothy J, Cox Christian L
Department of Biology, Georgia Southern University, Statesboro, GA, USA.
Department of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI, USA.
Proc Biol Sci. 2021 Mar 31;288(1947):20210003. doi: 10.1098/rspb.2021.0003. Epub 2021 Mar 17.
Covariation among traits shapes both phenotypic evolution and ecological interactions across space and time. However, rampant geographical variation in the strength and direction of such correlations can be particularly difficult to explain through generalized mechanisms. By integrating population genomics, surveys of natural history collections and spatially explicit analyses, we tested multiple drivers of trait correlations in a coral snake mimic that exhibits remarkable polymorphism in mimetic and non-mimetic colour traits. We found that although such traits co-occur extensively across space, correlations were best explained by a mixture of genetic architecture and correlational selection, rather than by any single mechanism. Our findings suggest that spatially complex trait distributions may be driven more by the simple interaction between multiple processes than by complex variation in one mechanism alone. These interactions are particularly important in mimicry systems, which frequently generate striking geographical variation and genetic correlations among colour pattern traits.
性状之间的协变塑造了表型进化以及时空尺度上的生态相互作用。然而,这种相关性的强度和方向存在大量地理变异,通过一般机制来解释可能会特别困难。通过整合种群基因组学、自然历史标本调查和空间明确分析,我们测试了一种珊瑚蛇模拟者性状相关性的多种驱动因素,该模拟者在模拟和非模拟颜色性状上表现出显著的多态性。我们发现,尽管这些性状在空间上广泛共存,但相关性最好用遗传结构和相关选择的混合来解释,而不是任何单一机制。我们的研究结果表明,空间复杂的性状分布可能更多地是由多个过程之间的简单相互作用驱动的,而不是由单一机制的复杂变异驱动的。这些相互作用在拟态系统中尤为重要,拟态系统经常在颜色图案性状之间产生显著的地理变异和遗传相关性。