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Digest: Demographic inferences accounting for selection at linked sites †
Author(s) -
Simon Alexis,
Duranton Maud
Publication year - 2018
Publication title -
evolution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.84
H-Index - 199
eISSN - 1558-5646
pISSN - 0014-3820
DOI - 10.1111/evo.13504
Subject(s) - approximate bayesian computation , biology , selection (genetic algorithm) , spurious relationship , inference , salmo , demographic history , evolutionary biology , bayesian probability , bayesian inference , econometrics , ecology , machine learning , fishery , artificial intelligence , computer science , genetics , genetic variation , fish <actinopterygii> , gene , economics
Complex demography and selection at linked sites can generate spurious signatures of divergent selection. Unfortunately, many attempts at demographic inference consider overly simple models and neglect the effect of selection at linked sites. In this issue, Rougemont and Bernatchez (2018) applied an approximate Bayesian computation (ABC) framework that accounts for indirect selection to reveal a complex history of secondary contacts in Atlantic salmon ( Salmo salar ) that might explain a high rate of latitudinal clines in this species.