What genomic data can reveal about eco-evolutionary dynamics

Seth Rudman (Corresponding author), Matthew A. Barbour, Katalin Csilléry, P. Gienapp, Frédéric Guillaume, Nelson G. Hairston, Andrew G. Hendry, Jesse R Lasky, Marina Rafajlovic, Katja Räsänen, Paul S. Schmidt, Ole Seehausen, Nina O. Therkildsen, Martin M. Turcotte, Jonathan M. Levine

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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.
Original languageEnglish
Pages (from-to)9-15
JournalNature Ecology and Evolution
Early online date2017
Publication statusPublished - 2018



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Rudman, S., Barbour, M. A., Csilléry, K., Gienapp, P., Guillaume, F., Hairston, N. G., Hendry, A. G., Lasky, J. R., Rafajlovic, M., Räsänen, K., Schmidt, P. S., Seehausen, O., Therkildsen, N. O., Turcotte, M. M., & Levine, J. M. (2018). What genomic data can reveal about eco-evolutionary dynamics. Nature Ecology and Evolution, 2, 9-15. https://doi.org/10.1038/s41559-017-0385-2