Replication data and scripts for: Ancient dolphin genomes reveal rapid repeated adaptation to coastal waters

  • Marie Louis (Ophavsmand)
  • Petra Korlević (Ophavsmand)
  • Milaja Nykänen (Ophavsmand)
  • Frederick Archer (Ophavsmand)
  • Simon Berrow (Ophavsmand)
  • Andrew Brownlow (Ophavsmand)
  • Eline Lorenzen (Ophavsmand)
  • Joanne O'Brien (Ophavsmand)
  • Klaas Post (Ophavsmand)
  • Fernando Racimo (Ophavsmand)
  • Emer Rogan (Ophavsmand)
  • Patricia Rosel (Ophavsmand)
  • Mikkel Holger Strander Sinding (Ophavsmand)
  • Henry van der Es (Ophavsmand)
  • Nathan Wales ((University of York) (Ophavsmand)
  • Michael C. Fontaine (Ophavsmand)
  • Oscar Gaggiotti (Ophavsmand)
  • Andrew Foote (Ophavsmand)
  • Maris Louis (Bidrager)
  • Andrew Foote (Bidrager)
  • Michael C. Fontaine (Bidrager)

Data set

Beskrivelse

This dataset includes the data and scripts supporting the replicability of the paper: Louis M.*, Korlević P.*, Nykänen M.*, Archer F., Berrow S., Brownload A., Lorenzen E. D., O’Brien J., Post K., Racimo F., Rogan E., Rosel P. E., Sinding M.-H. S., van der Es H., Wales N., Fontaine M. C.**, Gaggiotti O. E.**, Foote A. D.** Ancient dolphin genomes reveal rapid repeated adaptation to coastal waters. Nature Communications, in press. (*joint first author ; **joint senior author) Parallel evolution provides among the strongest evidence of the role of natural selection in shaping adaptation to the local environment. Yet, the chronology, mode and tempo of the process of parallel evolution remains broadly debated and discussed in the field of evolutionary biology. In this study, we harness the temporal resolution of paleogenomics to understand the tempo and independence of parallel coastal ecotype adaptation in common bottlenose dolphins (Tursiops truncatus). For this, we generated whole genome re-sequencing data from subfossil dolphins (8,610-5,626 years BP) originating from around the formation time of new coastal habitat and compared them with data from contemporary populations.
Dato for tilgængelighed2023
ForlagDataSuds

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