Evaluating genetic drift in time-series evolutionary analysis

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http://hdl.handle.net/10138/229854

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Nene , N R , Mustonen , V & Illingworth , C J R 2018 , ' Evaluating genetic drift in time-series evolutionary analysis ' , Journal of Theoretical Biology , vol. 437 , pp. 51-57 . https://doi.org/10.1016/j.jtbi.2017.09.021

Title: Evaluating genetic drift in time-series evolutionary analysis
Author: Nene, Nuno R.; Mustonen, Ville; Illingworth, Christopher J. R.
Contributor: University of Helsinki, Biosciences
Date: 2018-01-21
Language: eng
Number of pages: 7
Belongs to series: Journal of Theoretical Biology
ISSN: 0022-5193
URI: http://hdl.handle.net/10138/229854
Abstract: The Wright-Fisher model is the most popular population model for describing the behaviour of evolutionary systems with a finite population size. Approximations have commonly been used but the model itself has rarely been tested against time-resolved genomic data. Here, we evaluate the extent to which it can be inferred as the correct model under a likelihood framework. Given genome-wide data from an evolutionary experiment, we validate the Wright-Fisher drift model as the better option for describing evolutionary trajectories in a finite population. This was found by evaluating its performance against a Gaussian model of allele frequency propagation. However, we note a range of circumstances under which standard Wright-Fisher drift cannot be correctly identified. (C) 2017 The Author(s). Published by Elsevier Ltd.
Subject: Genetic drift
Time-resolved genome sequence data
Wright-Fisher model
Experimental evolution
EFFECTIVE POPULATION-SIZE
GENERAL DIPLOID SELECTION
WRIGHT-FISHER MODEL
DROSOPHILA-MELANOGASTER
FREQUENCY
INFERENCE
DYNAMICS
LINKAGE
APPROXIMATION
TRANSITION
1182 Biochemistry, cell and molecular biology
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