Literature DB >> 28110273

Shifting Balance on a Static Mutation-Selection Landscape: A Novel Scenario of Positive Selection.

Christopher T Jones1, Noor Youssef2, Edward Susko1,3, Joseph P Bielawski1,2,3.   

Abstract

A version of the mechanistic mutation-selection (MutSel) model that accounts for temporal dynamics at a site is presented. This is used to show that the rate ratio dN/dS at a site can be transiently >1 even when fitness coefficients are fixed or the fitness landscape is static. This occurs whenever a site drifts away from its fitness peak and is then forced back by selection, a process reminiscent of shifting balance. Shifting balance is strongest when the substitution process is not dominated by selection or drift, but admits interplay between the two. Under this condition, site-specific changes in dN/dS were inferred in 78-100% of trials, and positive selection (i.e., dN/dS>1) in 10-40% of trials, when sequence alignments generated under MutSel were fitted to two popular phenomenological branch-site models. These results demonstrate that positive selection can occur without a change in fitness regime, and that this is detectable by branch-site models. In addition, MutSel is used to show that a site can be occupied by a sub-optimal amino acid for long periods on a fixed landscape when selection is stringent. This has implications for the interpretation of constant-but-different site patterns typically attributed to changes in fitness. Furthermore, a version of MutSel with episodic changes in fitness coefficients is used to illustrate systematic differences between parameters used to generate data under MutSel and their counterparts estimated by a simple codon model. Motivated by a discrepancy in the literature, interpretation of dN/dS in the context of MutSel is also discussed.
© The Author 2016. Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  codon models; dN/dS; population genetics; positive selection; site-specific fitness landscapes

Mesh:

Substances:

Year:  2017        PMID: 28110273     DOI: 10.1093/molbev/msw237

Source DB:  PubMed          Journal:  Mol Biol Evol        ISSN: 0737-4038            Impact factor:   16.240


  12 in total

1.  Measuring evolutionary rates of proteins in a structural context.

Authors:  Dariya K Sydykova; Benjamin R Jack; Stephanie J Spielman; Claus O Wilke
Journal:  F1000Res       Date:  2017-10-16

Review 2.  Shifts in amino acid preferences as proteins evolve: A synthesis of experimental and theoretical work.

Authors:  Noor Youssef; Edward Susko; Andrew J Roger; Joseph P Bielawski
Journal:  Protein Sci       Date:  2021-08-12       Impact factor: 6.993

Review 3.  Protein evolution depends on multiple distinct population size parameters.

Authors:  Alexander Platt; Claudia C Weber; David A Liberles
Journal:  BMC Evol Biol       Date:  2018-02-08       Impact factor: 3.260

4.  Noncoding regions underpin avian bill shape diversification at macroevolutionary scales.

Authors:  Leeban Yusuf; Matthew C Heatley; Joseph P G Palmer; Henry J Barton; Christopher R Cooney; Toni I Gossmann
Journal:  Genome Res       Date:  2020-04-08       Impact factor: 9.043

5.  Evolution of Amino Acid Propensities under Stability-Mediated Epistasis.

Authors:  Noor Youssef; Edward Susko; Andrew J Roger; Joseph P Bielawski
Journal:  Mol Biol Evol       Date:  2022-03-02       Impact factor: 16.240

6.  Relative Model Fit Does Not Predict Topological Accuracy in Single-Gene Protein Phylogenetics.

Authors:  Stephanie J Spielman
Journal:  Mol Biol Evol       Date:  2020-07-01       Impact factor: 16.240

7.  Improved inference of site-specific positive selection under a generalized parametric codon model when there are multinucleotide mutations and multiple nonsynonymous rates.

Authors:  Katherine A Dunn; Toby Kenney; Hong Gu; Joseph P Bielawski
Journal:  BMC Evol Biol       Date:  2019-01-14       Impact factor: 3.260

8.  Inferring the number and position of changes in selective regime in a non-equilibrium mutation-selection framework.

Authors:  Andrew M Ritchie; Tristan L Stark; David A Liberles
Journal:  BMC Ecol Evol       Date:  2021-03-10

9.  A Mutation-Selection Model of Protein Evolution under Persistent Positive Selection.

Authors:  Asif U Tamuri; Mario Dos Reis
Journal:  Mol Biol Evol       Date:  2022-01-07       Impact factor: 16.240

10.  Inferring Long-Term Effective Population Size with Mutation-Selection Models.

Authors:  Thibault Latrille; Vincent Lanore; Nicolas Lartillot
Journal:  Mol Biol Evol       Date:  2021-09-27       Impact factor: 16.240

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