Testing for adaptive radiation: A new approach applied to Madagascar frogs

Evolution. 2021 Dec;75(12):3008-3025. doi: 10.1111/evo.14328. Epub 2021 Sep 8.

Abstract

Adaptive radiation is a key topic at the intersection of ecology and evolutionary biology. Yet the definition and identification of adaptive radiation both remain contentious. Here, we introduce a new approach for identifying adaptive radiations that combines key aspects of two widely used definitions. Our approach compares evolutionary rates in morphology, performance, and diversification between the candidate radiation and other clades. We then apply this approach to a putative adaptive radiation of frogs from Madagascar (Mantellidae). We present new data on morphology and performance from mantellid frogs, then compare rates of diversification and multivariate evolution of size, shape, and performance between mantellids and other frogs. We find that mantellids potentially pass our test for accelerated rates of evolution for shape, but not for size, performance, or diversification. Our results demonstrate that clades can have accelerated phenotypic evolution without rapid diversification (dubbed "adaptive non-radiation"). We also highlight general issues in testing for adaptive radiation, including taxon sampling and the problem of including another adaptive radiation among the comparison clades. Finally, we suggest that similar tests should be conducted on other putative adaptive radiations on Madagascar, comparing their evolutionary rates to those of related clades outside Madagascar. Based on our results, we speculate that older Madagascar clades may show evolutionary patterns more similar to those on a continent than an island.

Keywords: Mantellidae; comparative methods; diversification; locomotor performance; morphological evolution; phylogeny.

Publication types

  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Animals
  • Anura* / genetics
  • Ecology*
  • Madagascar
  • Phylogeny

Associated data

  • Dryad/10.5061/dryad.z08kprr9s