What genomic data can reveal about eco-evolutionary dynamics

Seth Rudman; 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

doi:10.1038/s41559-017-0385-2

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

NIOO - Animal Ecology (AnE)

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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.

Original language	English
Pages (from-to)	9-15
Journal	Nature Ecology and Evolution
Volume	2
Early online date	2017
DOIs	https://doi.org/10.1038/s41559-017-0385-2
Publication status	Published - 2018

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international

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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

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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 - Rudman, Seth

AU - Barbour, Matthew A.

AU - Csilléry, Katalin

AU - Gienapp, P.

AU - Guillaume, Frédéric

AU - Hairston, Nelson G.

AU - Hendry, Andrew G.

AU - Lasky, Jesse R

AU - Rafajlovic, Marina

AU - Räsänen, Katja

AU - Schmidt, Paul S.

AU - Seehausen, Ole

AU - Therkildsen, Nina O.

AU - Turcotte, Martin M.

AU - Levine, Jonathan M.

N1 - 6432, AnE; Data Archiving: no data perspective paper

PY - 2018

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N2 - 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.

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.

KW - international

U2 - 10.1038/s41559-017-0385-2

DO - 10.1038/s41559-017-0385-2

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VL - 2

SP - 9

EP - 15

JO - Nature Ecology and Evolution

JF - Nature Ecology and Evolution

ER -

What genomic data can reveal about eco-evolutionary dynamics

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