Empirical fitness landscapes reveal accessible evolutionary paths

@article{Poelwijk2007EmpiricalFL,
  title={Empirical fitness landscapes reveal accessible evolutionary paths},
  author={Frank J. Poelwijk and Daniel J. Kiviet and Daniel M. Weinreich and Sander J. Tans},
  journal={Nature},
  year={2007},
  volume={445},
  pages={383-386}
}
When attempting to understand evolution, we traditionally rely on analysing evolutionary outcomes, despite the fact that unseen intermediates determine its course. A handful of recent studies has begun to explore these intermediate evolutionary forms, which can be reconstructed in the laboratory. With this first view on empirical evolutionary landscapes, we can now finally start asking why particular evolutionary paths are taken. 

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Repeatability of evolution on epistatic landscapes

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This work investigates the mutational path probabilities of systems having epistatic effects on both fitness and mutation rates using a theoretical and computational framework and allows epistatic interactions to also affect mutation rates to create qualitatively non-trivial dynamics.
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