What genomic data can reveal about eco-evolutionary dynamics

Rudman, Seth M.; Barbour, Matthew A.; Csilléry, Katalin; Gienapp, Phillip; Guillaume, Frederic; Hairston Jr, Nelson G.; Hendry, Andrew P.; Lasky, Jesse R.; Rafajlović, Marina; Räsänen, Katja; Schmidt, Paul S.; Seehausen, Ole; Therkildsen, Nina O.; Turcotte, Martin M.; Levine, Jonathan M. (2018). What genomic data can reveal about eco-evolutionary dynamics. Nature ecology & evolution, 2(1), pp. 9-15. Nature Publishing Group 10.1038/s41559-017-0385-2

[img] Text
Rudman et al 2017 NEE.pdf - Published Version
Restricted to registered users only
Available under License Publisher holds Copyright.

Download (1MB) | Request a copy

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.

Item Type:

Journal Article (Further Contribution)

Division/Institute:

08 Faculty of Science > Department of Biology > Institute of Ecology and Evolution (IEE)
08 Faculty of Science > Department of Biology > Institute of Ecology and Evolution (IEE) > Aquatic Ecology

UniBE Contributor:

Seehausen, Ole

Subjects:

500 Science > 570 Life sciences; biology

ISSN:

2397-334X

Publisher:

Nature Publishing Group

Language:

English

Submitter:

Marcel Häsler

Date Deposited:

12 Dec 2017 17:12

Last Modified:

17 Dec 2017 01:32

Publisher DOI:

10.1038/s41559-017-0385-2

PubMed ID:

29158555

BORIS DOI:

10.7892/boris.107304

URI:

https://boris.unibe.ch/id/eprint/107304

Actions (login required)

Edit item Edit item
Provide Feedback