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What genomic data can reveal about eco-evolutionary dynamics.

Seth M RudmanMatthew A BarbourKatalin CsilléryPhillip GienappFrederic GuillaumeNelson G HairstonAndrew P HendryJesse R LaskyMarina RafajlovićKatja RäsänenPaul S SchmidtOle SeehausenNina O TherkildsenMartin M TurcotteJonathan M Levine
Published in: Nature ecology & evolution (2017)
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.
Keyphrases
  • genome wide
  • electronic health record
  • copy number
  • big data
  • dna methylation
  • climate change
  • high resolution
  • mass spectrometry