+1 Recommend
0 collections
      • Record: found
      • Abstract: found
      • Article: not found

      Terrestrial reproduction as an adaptation to steep terrain in African toads

      Read this article at

          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.


          How evolutionary novelties evolve is a major question in evolutionary biology. It is widely accepted that changes in environmental conditions shift the position of selective optima, and advancements in phylogenetic comparative approaches allow the rigorous testing of such correlated transitions. A longstanding question in vertebrate biology has been the evolution of terrestrial life histories in amphibians and here, by investigating African bufonids, we test whether terrestrial modes of reproduction have evolved as adaptations to particular abiotic habitat parameters. We reconstruct and date the most complete species-level molecular phylogeny and estimate ancestral states for reproductive modes. By correlating continuous habitat measurements from remote sensing data and locality records with life-history transitions, we discover that terrestrial modes of reproduction, including viviparity evolved multiple times in this group, most often directly from fully aquatic modes. Terrestrial modes of reproduction are strongly correlated with steep terrain and low availability of accumulated water sources. Evolutionary transitions to terrestrial modes of reproduction occurred synchronously with or after transitions in habitat, and we, therefore, interpret terrestrial breeding as an adaptation to these abiotic conditions, rather than an exaptation that facilitated the colonization of montane habitats.

          Related collections

          Most cited references 39

          • Record: found
          • Abstract: not found
          • Book: not found

          The Ecology and Behavior of Amphibians

            • Record: found
            • Abstract: not found
            • Article: not found

            Phylogenetic Comparative Analysis: A Modeling Approach for Adaptive Evolution

              • Record: found
              • Abstract: found
              • Article: not found

              Stochastic mapping of morphological characters.

              Many questions in evolutionary biology are best addressed by comparing traits in different species. Often such studies involve mapping characters on phylogenetic trees. Mapping characters on trees allows the nature, number, and timing of the transformations to be identified. The parsimony method is the only method available for mapping morphological characters on phylogenies. Although the parsimony method often makes reasonable reconstructions of the history of a character, it has a number of limitations. These limitations include the inability to consider more than a single change along a branch on a tree and the uncoupling of evolutionary time from amount of character change. We extended a method described by Nielsen (2002, Syst. Biol. 51:729-739) to the mapping of morphological characters under continuous-time Markov models and demonstrate here the utility of the method for mapping characters on trees and for identifying character correlation.

                Author and article information

                Proc Biol Sci
                Proc. Biol. Sci
                Proceedings of the Royal Society B: Biological Sciences
                The Royal Society
                29 March 2017
                29 March 2017
                : 284
                : 1851
                [1 ] Department of Environmental Science (Biogeography), University of Basel , Klingelbergstrasse 27, 4056 Basel, Switzerland
                [2 ] Ecology, Evolution and Developmental Group, Department of Wetland Ecology, Estación Biológica de Doñana (CSIC) , 41092 Sevilla, Spain
                [3 ] Institut für Spezielle Zoologie und Evolutionsbiologie mit Phyletischem Museum, Friedrich-Schiller-Universität Jena , Erbertstraße 1, 07743 Jena, Germany
                [4 ] WSL Swiss Federal Institute for Forest, Snow and Landscape Research , Birmensdorf, Switzerland
                [5 ] Museum für Naturkunde Berlin, Leibniz Institute for Evolution and Biodiversity Science , Invalidenstraße 43, 10115 Berlin, Germany
                [6 ] Chair of Wildlife Ecology and Management, University of Freiburg , Tennenbacher Straße 4, 79106 Freiburg, Germany
                [7 ] Department of Life Sciences, Natural History Museum , London SW7 5BD, UK
                [8 ] Dříteč 65, 53305, Czech Republic
                [9 ] Department of Life Sciences, University of Roehampton , London SW15 4JD, UK
                Author notes

                Electronic supplementary material is available online at https://dx.doi.org/10.6084/m9.figshare.c.3715222.

                PMC5378084 PMC5378084 5378084 rspb20162598
                © 2017 The Author(s)

                Published by the Royal Society. All rights reserved.

                Funded by: Swiss National Science Fund;
                Award ID: 31003A-133067
                Award ID: P2BSP3_158846
                Funded by: Akademie der Naturwissenschaften, http://dx.doi.org/10.13039/501100004902;
                Funded by: National Geographic Expedition Grant;
                Award ID: 8532–08
                Funded by: Freiwillige Akademische Gesellschaft Basel;
                Research Article
                Custom metadata
                March 29, 2017


                Comment on this article