What genomic data can reveal about eco-evolutionary dynamics

Seth M. Rudman; Matthew A. Barbour; Katalin Csilléry; Phillip Gienapp; Frederic Guillaume; Nelson G. Hairston; Andrew P. Hendry; Jesse R. Lasky; Marina Rafajlović; Katja Räsänen; Paul S. Schmidt; Ole Seehausen; Nina O. Therkildsen; Martin M. Turcotte; Jonathan M. Levine

doi:10.1038/s41559-017-0385-2

What genomic data can reveal about eco-evolutionary dynamics

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

Research output: Contribution to journal › Review article › peer-review

60 Scopus citations

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.

Original language	English (US)
Pages (from-to)	9-15
Number of pages	7
Journal	Nature Ecology and Evolution
Volume	2
Issue number	1
DOIs	https://doi.org/10.1038/s41559-017-0385-2
State	Published - Jan 1 2018
Externally published	Yes

All Science Journal Classification (ASJC) codes

Ecology, Evolution, Behavior and Systematics
Ecology

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Rudman, S. M., Barbour, M. A., Csilléry, K., Gienapp, P., Guillaume, F., Hairston, N. G., Hendry, A. P., Lasky, J. R., Rafajlović, 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(1), 9-15. https://doi.org/10.1038/s41559-017-0385-2

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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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AU - Csilléry, Katalin

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AU - Guillaume, Frederic

AU - Hairston, Nelson G.

AU - Hendry, Andrew P.

AU - Lasky, Jesse R.

AU - Rafajlović, Marina

AU - Räsänen, Katja

AU - Schmidt, Paul S.

AU - Seehausen, Ole

AU - Therkildsen, Nina O.

AU - Turcotte, Martin M.

AU - Levine, Jonathan M.

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AB - 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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What genomic data can reveal about eco-evolutionary dynamics

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