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What genomic data can reveal about eco-evolutionary dynamics

Nature Ecology & Evolution volume 2, pages 9–15 (2018)Cite this article

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Abstract

Recognition that evolution operates on the same timescale as ecological processes has motivated growing interest in eco-evolutionary dynamics. Nonetheless, generating sufficient data to test predictions about eco-evolutionary dynamics has proved challenging, particularly in natural contexts. Here we argue that genomic data can be integrated into the study of eco-evolutionary dynamics in ways that deepen our understanding of the interplay between ecology and evolution. Specifically, we outline five major questions in the study of eco-evolutionary dynamics for which genomic data may provide answers. Although genomic data alone will not be sufficient to resolve these challenges, integrating genomic data can provide a more mechanistic understanding of the causes of phenotypic change, help elucidate the mechanisms driving eco-evolutionary dynamics, and lead to more accurate evolutionary predictions of eco-evolutionary dynamics in nature.

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Fig. 1: Five major questions in eco-evolutionary dynamics.
Fig. 2: Using genomic tools to study a predator–prey eco-evolutionary dynamic.

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Acknowledgements

The paper was conceived during a Monte Verita conference on ‘The Genomic Basis of Eco-Evolutionary Change’ organized by the Centre for Adaptation to a Changing Environment (ACE) at ETH Zürich. We thank the Congressi Stefano Franscini and ETH Zürich for funding and supporting the meeting.

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Authors and Affiliations

  1. Department of Biology, University of Pennsylvania, Philadelphia, PA, USA

    Seth M. Rudman & Paul S. Schmidt

  2. Department of Evolutionary Biology and Environmental Studies, University of Zurich, Zurich, Switzerland

    Matthew A. Barbour & Frederic Guillaume

  3. Adaptation to a Changing Environment, ETH Zürich, Zurich, Switzerland

    Katalin Csilléry & Martin M. Turcotte

  4. Department of Animal Ecology, Netherlands Institute of Ecology (NIOO-KNAW), Wageningen, The Netherlands

    Phillip Gienapp

  5. Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, NY, USA

    Nelson G. Hairston Jr

  6. Redpath Museum and Department of Biology, McGill University, Montreal, Quebec, Canada

    Andrew P. Hendry

  7. Department of Biology, Pennsylvania State University, University Park, PA, USA

    Jesse R. Lasky

  8. Department of Physics, University of Gothenburg, Gothenburg, Sweden

    Marina Rafajlović

  9. Centre for Marine Evolutionary Biology, University of Gothenburg, Tjärnö, Strömstad, Sweden

    Marina Rafajlović

  10. Department of Aquatic Ecology/ETH-Zurich, Eawag, Institute of Integrative Biology, Duebendorf, Switzerland

    Katja Räsänen

  11. Department of Fish Ecology and Evolution, Eawag, Center for Ecology, Evolution and Biogeochemistry, Kastanienbaum, Switzerland

    Ole Seehausen

  12. Aquatic Ecology and Evolution, Institute of Ecology and Evolution, University of Bern, Bern, Switzerland

    Ole Seehausen

  13. Department of Natural Resources, Cornell University, Ithaca, NY, USA

    Nina O. Therkildsen

  14. Department of Biological Sciences, University of Pittsburgh, Pittsburgh, PA, USA

    Martin M. Turcotte

  15. Institute of Integrative Biology, ETH Zürich, Zürich, Switzerland

    Jonathan M. Levine

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  1. Seth M. Rudman
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S.M.R. assembled the first draft of the manuscript based on contributions from all authors. All authors provided revisions.

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Correspondence to Seth M. Rudman.

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Rudman, S.M., Barbour, M.A., Csilléry, K. et al. What genomic data can reveal about eco-evolutionary dynamics. Nat Ecol Evol 2, 9–15 (2018). https://doi.org/10.1038/s41559-017-0385-2

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