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A nearly-neutral biallelic Moran model with biased mutation and linear and quadratic selection

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Vogl_2021_TPB_nearly_neural_biallelic_CC.pdf (1.543Mb)
Date
06/2021
Author
Vogl, Claus
Mikula, Lynette Caitlin
Keywords
Linear and quadratic selection
McDonald–Kreitman test
Moran model
Mutation bias
Mutation–selection–drift equilibrium
Nearly-neutral theory
QA Mathematics
QH301 Biology
QH426 Genetics
3rd-DAS
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Abstract
In this article, a biallelic reversible mutation model with linear and quadratic selection is analysed. The approach reconnects to one proposed by Kimura (1979), who starts from a diffusion model and derives its equilibrium distribution up to a constant. We use a boundary-mutation Moran model, which approximates a general mutation model for small effective mutation rates, and derive its equilibrium distribution for polymorphic and monomorphic variants in small to moderately sized populations. Using this model, we show that biased mutation rates and linear selection alone can cause patterns of polymorphism within and substitution rates between populations that are usually ascribed to balancing or overdominant selection. We illustrate this using a data set of short introns and fourfold degenerate sites from Drosophila simulans and Drosophila melanogaster.
Citation
Vogl , C & Mikula , L C 2021 , ' A nearly-neutral biallelic Moran model with biased mutation and linear and quadratic selection ' , Theoretical Population Biology , vol. 139 , pp. 1-17 . https://doi.org/10.1016/j.tpb.2021.03.003
Publication
Theoretical Population Biology
Status
Peer reviewed
DOI
https://doi.org/10.1016/j.tpb.2021.03.003
ISSN
0040-5809
Type
Journal article
Rights
Copyright © 2021 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Description
CV’s research is supported by the Austrian Science Fund (FWF): DK W1225-B20; LCM’s by the School of Biology at the University of St.Andrews and has been partially funded through Vienna Science and Technology Fund (WWTF), Austria [MA016-061].
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  • University of St Andrews Research
URI
http://hdl.handle.net/10023/23238

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