1 CBGP, INRA, CIRAD, IRD, Montpellier SupAgro, Univ. Montpellier , Montpellier , France.
2 CEFE, CNRS, Univ. Montpellier, Univ. Paul Valéry Montpellier 3, EPHE, IRD , Montpellier , France.
Proc Biol Sci. 2019 Apr 10;286(1900):20190445. doi: 10.1098/rspb.2019.0445.
Despite the ubiquity of complex life cycles, we know little of the evolutionary constraints exerted by metamorphosis. Here, we present pitfalls and methods to answer whether animals with a complex life cycle can independently adapt to the environments encountered at each life stage, with a specific focus on the microevolution of quantitative characters. We first discuss challenges associated with study traits and populations. We further emphasize the benefits of using a combination of approaches. We then develop how multivariate methods can limit several issues by revealing genetic patterns that are invisible when only considering trait-by-trait genetic correlations. Finally, we detail how Lande's work on sexual dimorphism can be applied in measuring G matrices across life stages. The methods and tools described here will contribute towards building a predictive framework for trait evolution across life stages.
尽管复杂的生命周期无处不在,但我们对变态所施加的进化限制知之甚少。在这里,我们提出了一些陷阱和方法来回答具有复杂生命周期的动物是否可以独立适应每个生命阶段所遇到的环境,特别关注定量特征的微观进化。我们首先讨论了与研究特征和种群相关的挑战。我们进一步强调了结合使用多种方法的好处。然后,我们探讨了多变量方法如何通过揭示仅考虑特征相关遗传相关性时不可见的遗传模式来限制几个问题。最后,我们详细说明了如何在测量跨生命阶段的 G 矩阵时应用 Lande 关于性二态性的工作。这里描述的方法和工具将有助于构建跨生命阶段特征进化的预测框架。