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What genomic data can reveal about eco-evolutionary dynamics.
Rudman, Seth M; Barbour, Matthew A; Csilléry, Katalin; Gienapp, Phillip; Guillaume, Frederic; Hairston, Nelson G; Hendry, Andrew P; Lasky, Jesse R; Rafajlovic, Marina; Räsänen, Katja; Schmidt, Paul S; Seehausen, Ole; Therkildsen, Nina O; Turcotte, Martin M; Levine, Jonathan M.
Affiliation
  • Rudman SM; Department of Biology, University of Pennsylvania, Philadelphia, PA, USA. srudman@sas.upenn.edu.
  • Barbour MA; Department of Evolutionary Biology and Environmental Studies, University of Zurich, Zurich, Switzerland.
  • Csilléry K; Adaptation to a Changing Environment, ETH Zürich, Zurich, Switzerland.
  • Gienapp P; Department of Animal Ecology, Netherlands Institute of Ecology (NIOO-KNAW), Wageningen, The Netherlands.
  • Guillaume F; Department of Evolutionary Biology and Environmental Studies, University of Zurich, Zurich, Switzerland.
  • Hairston NG; Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, NY, USA.
  • Hendry AP; Redpath Museum and Department of Biology, McGill University, Montreal, Quebec, Canada.
  • Lasky JR; Department of Biology, Pennsylvania State University, University Park, PA, USA.
  • Rafajlovic M; Department of Physics, University of Gothenburg, Gothenburg, Sweden.
  • Räsänen K; Centre for Marine Evolutionary Biology, University of Gothenburg, Tjärnö, Strömstad, Sweden.
  • Schmidt PS; Department of Aquatic Ecology/ETH-Zurich, Eawag, Institute of Integrative Biology, Duebendorf, Switzerland.
  • Seehausen O; Department of Biology, University of Pennsylvania, Philadelphia, PA, USA.
  • Therkildsen NO; Department of Fish Ecology and Evolution, Eawag, Center for Ecology, Evolution and Biogeochemistry, Kastanienbaum, Switzerland.
  • Turcotte MM; Aquatic Ecology and Evolution, Institute of Ecology and Evolution, University of Bern, Bern, Switzerland.
  • Levine JM; Department of Natural Resources, Cornell University, Ithaca, NY, USA.
Nat Ecol Evol ; 2(1): 9-15, 2018 Jan.
Article in En | MEDLINE | ID: mdl-29158555
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.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Genome / Ecosystem / Biological Evolution Language: En Journal: Nat Ecol Evol Year: 2018 Document type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Genome / Ecosystem / Biological Evolution Language: En Journal: Nat Ecol Evol Year: 2018 Document type: Article Affiliation country: United States