Multi-locus phylogeny and divergence time estimates of Enallagma damselflies (Odonata: Coenagrionidae)

Molecular Phylogenetics and Evolution
Melissa S Callahan, Mark A McPeek

Abstract

Reconstructing evolutionary patterns of species and populations provides a framework for asking questions about the impacts of climate change. Here we use a multilocus dataset to estimate gene trees under maximum likelihood and Bayesian models to obtain a robust estimate of relationships for a genus of North American damselflies, Enallagma. Using a relaxed molecular clock, we estimate the divergence times for this group. Furthermore, to account for the fact that gene tree analyses can overestimate ages of population divergences, we use a multi-population coalescent model to gain a more accurate estimate of divergence times. We also infer diversification rates using a method that allows for variation in diversification rate through time and among lineages. Our results reveal a complex evolutionary history of Enallagma, in which divergence events both predate and occur during Pleistocene climate fluctuations. There is also evidence of diversification rate heterogeneity across the tree. These divergence time estimates provide a foundation for addressing the relative significance of historical climatic events in the diversification of this genus.

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Citations

Aug 26, 2015·PloS One·Francesca FratiGianandrea Salerno
Aug 12, 2016·Proceedings of the National Academy of Sciences of the United States of America·Brian R MooreJohn P Huelsenbeck
Jan 18, 2017·Evolution; International Journal of Organic Evolution·Adam M Siepielski, Jeremy M Beaulieu
Jul 27, 2017·Evolution; International Journal of Organic Evolution·Alexandra A BarnardJohn P Masly

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