Overestimation of the adaptive substitution rate in fluctuating populations
Author(s) -
Marjolaine Rousselle,
Maéva Mollion,
Benoît Nabholz,
Thomas Bataillon,
Nicolas Galtier
Publication year - 2018
Publication title -
biology letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.596
H-Index - 110
eISSN - 1744-957X
pISSN - 1744-9561
DOI - 10.1098/rsbl.2018.0055
Subject(s) - biology , substitution (logic) , evolutionary biology , ecology , computer science , programming language
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 is irrespective of the recent population history.
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