Literature DB >> 33684109

The evolutionary origin of the universal distribution of mutation fitness effect.

Ayuna Barlukova1, Igor M Rouzine1.   

Abstract

An intriguing fact long defying explanation is the observation of a universal exponential distribution of beneficial mutations in fitness effect for different microorganisms. To explain this effect, we use a population model including mutation, directional selection, linkage, and genetic drift. The multiple-mutation regime of adaptation at large population sizes (traveling wave regime) is considered. We demonstrate analytically and by simulation that, regardless of the inherent distribution of mutation fitness effect across genomic sites, an exponential distribution of fitness effects emerges in the long term. This result follows from the exponential statistics of the frequency of the less-fit alleles, f, that we predict to evolve, in the long term, for both polymorphic and monomorphic sites. We map the logarithmic slope of the distribution onto the previously derived fixation probability and demonstrate that it increases linearly in time. Our results demonstrate a striking difference between the distribution of fitness effects observed experimentally for naturally occurring mutations, and the "inherent" distribution obtained in a directed-mutagenesis experiment, which can have any shape depending on the organism. Based on these results, we develop a new method to measure the fitness effect of mutations for each variable residue using DNA sequences sampled from adapting populations. This new method is not sensitive to linkage effects and does not require the one-site model assumptions.

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Year:  2021        PMID: 33684109      PMCID: PMC7971868          DOI: 10.1371/journal.pcbi.1008822

Source DB:  PubMed          Journal:  PLoS Comput Biol        ISSN: 1553-734X            Impact factor:   4.475


  43 in total

1.  The distribution of fitness effects among beneficial mutations.

Authors:  H Allen Orr
Journal:  Genetics       Date:  2003-04       Impact factor: 4.562

2.  The solitary wave of asexual evolution.

Authors:  Igor M Rouzine; John Wakeley; John M Coffin
Journal:  Proc Natl Acad Sci U S A       Date:  2003-01-13       Impact factor: 11.205

3.  The noisy edge of traveling waves.

Authors:  Oskar Hallatschek
Journal:  Proc Natl Acad Sci U S A       Date:  2010-12-27       Impact factor: 11.205

4.  Beneficial mutation selection balance and the effect of linkage on positive selection.

Authors:  Michael M Desai; Daniel S Fisher
Journal:  Genetics       Date:  2007-05-04       Impact factor: 4.562

5.  Rate of adaptation in large sexual populations.

Authors:  R A Neher; B I Shraiman; D S Fisher
Journal:  Genetics       Date:  2009-11-30       Impact factor: 4.562

6.  Contingency and entrenchment in protein evolution under purifying selection.

Authors:  Premal Shah; David M McCandlish; Joshua B Plotkin
Journal:  Proc Natl Acad Sci U S A       Date:  2015-06-08       Impact factor: 11.205

7.  Search for the mechanism of genetic variation in the pro gene of human immunodeficiency virus.

Authors:  I M Rouzine; J M Coffin
Journal:  J Virol       Date:  1999-10       Impact factor: 5.103

8.  Joint inference of the distribution of fitness effects of deleterious mutations and population demography based on nucleotide polymorphism frequencies.

Authors:  Peter D Keightley; Adam Eyre-Walker
Journal:  Genetics       Date:  2007-12       Impact factor: 4.562

9.  Conflicting Selection Pressures Will Constrain Viral Escape from Interfering Particles: Principles for Designing Resistance-Proof Antivirals.

Authors:  Luke I Rast; Igor M Rouzine; Ganna Rozhnova; Lisa Bishop; Ariel D Weinberger; Leor S Weinberger
Journal:  PLoS Comput Biol       Date:  2016-05-06       Impact factor: 4.475

10.  High-resolution lineage tracking reveals travelling wave of adaptation in laboratory yeast.

Authors:  Alex N Nguyen Ba; Ivana Cvijović; José I Rojas Echenique; Katherine R Lawrence; Artur Rego-Costa; Xianan Liu; Sasha F Levy; Michael M Desai
Journal:  Nature       Date:  2019-11-13       Impact factor: 49.962

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