What genomic data can reveal about eco-evolutionary dynamics

TY - JOUR

T1 - What genomic data can reveal about eco-evolutionary dynamics

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

Y1 - 2018

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

M3 - Article

SN - 2397-334X

VL - 2

SP - 9

EP - 15

JO - Nature Ecology and Evolution

JF - Nature Ecology and Evolution

ER -