10.5061/DRYAD.85QB2R1
Rousselle, Marjolaine
Institut des Sciences de l'Evolution de Montpellier
Mollion, Maeva
École Pratique des Hautes Études
Nabholz, Benoit
École Pratique des Hautes Études
Bataillon, Thomas
Aarhus University
Galtier, Nicolas
University of Montpellier
Data from: Overestimation of the adaptive substitution rate in fluctuating
populations
Dryad
dataset
2018
Fitness effect of mutations
coding sequence evolution
molecular adaptation
simulations
2018-04-20T17:09:43Z
2018-04-20T17:09:43Z
en
https://doi.org/10.1098/rsbl.2018.0055
57029 bytes
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CC0 1.0 Universal (CC0 1.0) Public Domain Dedication
Estimating the proportion of adaptive substitutions (α) is of primary
importance to uncover the determinants of adaptation in comparative
genomic studies. Several methods have been proposed to estimate α from
patterns polymorphism and divergence in coding sequences. However,
estimators of α can be biased when the underlying assumptions are not met.
Here we focus on a potential source of bias, i.e., variation through time
in the long term population size (N) of the considered species. We show
via simulations that ancient demographic fluctuations can generate severe
overestimations of α, and this irrespective of the recent population
history.
Unfolded site frequency spectra and divergence counts under different
simulation scenariosThis archive contains files composed of the unfolded
site frequency spectra and divergence counts of each replicates of each
simulation scenarios we generated in the present
study.unfolded_SFS_Rousselle_et_al.tar.gz