Literature DB >> 24849169

Experimental evolution and the dynamics of genomic mutation rate modifiers.

Y Raynes1, P D Sniegowski2.   

Abstract

Because genes that affect mutation rates are themselves subject to mutation, mutation rates can be influenced by natural selection and other evolutionary forces. The population genetics of mutation rate modifier alleles has been a subject of theoretical interest for many decades. Here, we review experimental contributions to our understanding of mutation rate modifier dynamics. Numerous evolution experiments have shown that mutator alleles (modifiers that elevate the genomic mutation rate) can readily rise to high frequencies via genetic hitchhiking in non-recombining microbial populations. Whereas these results certainly provide an explanatory framework for observations of sporadically high mutation rates in pathogenic microbes and in cancer lineages, it is nonetheless true that most natural populations have very low mutation rates. This raises the interesting question of how mutator hitchhiking is suppressed or its phenotypic effect reversed in natural populations. Very little experimental work has addressed this question; with this in mind, we identify some promising areas for future experimental investigation.

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Year:  2014        PMID: 24849169      PMCID: PMC4220723          DOI: 10.1038/hdy.2014.49

Source DB:  PubMed          Journal:  Heredity (Edinb)        ISSN: 0018-067X            Impact factor:   3.821


  72 in total

Review 1.  Lateral gene transfer and the nature of bacterial innovation.

Authors:  H Ochman; J G Lawrence; E A Groisman
Journal:  Nature       Date:  2000-05-18       Impact factor: 49.962

2.  The fixation probability of rare mutators in finite asexual populations.

Authors:  C Scott Wylie; Cheol-Min Ghim; David Kessler; Herbert Levine
Journal:  Genetics       Date:  2009-01-19       Impact factor: 4.562

3.  Growth rates made easy.

Authors:  Barry G Hall; Hande Acar; Anna Nandipati; Miriam Barlow
Journal:  Mol Biol Evol       Date:  2013-10-28       Impact factor: 16.240

4.  The cellular, developmental and population-genetic determinants of mutation-rate evolution.

Authors:  Michael Lynch
Journal:  Genetics       Date:  2008-08-30       Impact factor: 4.562

5.  Genome evolution and adaptation in a long-term experiment with Escherichia coli.

Authors:  Jeffrey E Barrick; Dong Su Yu; Sung Ho Yoon; Haeyoung Jeong; Tae Kwang Oh; Dominique Schneider; Richard E Lenski; Jihyun F Kim
Journal:  Nature       Date:  2009-10-18       Impact factor: 49.962

6.  Selection for high mutation rates in chemostats.

Authors:  E C Cox; T C Gibson
Journal:  Genetics       Date:  1974-06       Impact factor: 4.562

7.  The hitch-hiking effect of a favourable gene.

Authors:  J M Smith; J Haigh
Journal:  Genet Res       Date:  1974-02       Impact factor: 1.588

Review 8.  Human cancers express mutator phenotypes: origin, consequences and targeting.

Authors:  Lawrence A Loeb
Journal:  Nat Rev Cancer       Date:  2011-05-19       Impact factor: 60.716

9.  Heterogeneity of the mutation rates of influenza A viruses: isolation of mutator mutants.

Authors:  P Suárez; J Valcárcel; J Ortín
Journal:  J Virol       Date:  1992-04       Impact factor: 5.103

10.  Recombination speeds adaptation by reducing competition between beneficial mutations in populations of Escherichia coli.

Authors:  Tim F Cooper
Journal:  PLoS Biol       Date:  2007-09       Impact factor: 8.029

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  23 in total

1.  Known mutator alleles do not markedly increase mutation rate in clinical Saccharomyces cerevisiae strains.

Authors:  Daniel A Skelly; Paul M Magwene; Brianna Meeks; Helen A Murphy
Journal:  Proc Biol Sci       Date:  2017-04-12       Impact factor: 5.349

2.  Evolution of mutation rates in hypermutable populations of Escherichia coli propagated at very small effective population size.

Authors:  Tanya Singh; Meredith Hyun; Paul Sniegowski
Journal:  Biol Lett       Date:  2017-03       Impact factor: 3.703

Review 3.  Genetic drift, selection and the evolution of the mutation rate.

Authors:  Michael Lynch; Matthew S Ackerman; Jean-Francois Gout; Hongan Long; Way Sung; W Kelley Thomas; Patricia L Foster
Journal:  Nat Rev Genet       Date:  2016-10-14       Impact factor: 53.242

Review 4.  The sources of adaptive variation.

Authors:  Deborah Charlesworth; Nicholas H Barton; Brian Charlesworth
Journal:  Proc Biol Sci       Date:  2017-05-31       Impact factor: 5.349

5.  Interference Effects of Deleterious and Beneficial Mutations in Large Asexual Populations.

Authors:  Kavita Jain
Journal:  Genetics       Date:  2019-01-30       Impact factor: 4.562

Review 6.  Experimental Design, Population Dynamics, and Diversity in Microbial Experimental Evolution.

Authors:  Bram Van den Bergh; Toon Swings; Maarten Fauvart; Jan Michiels
Journal:  Microbiol Mol Biol Rev       Date:  2018-07-25       Impact factor: 11.056

7.  Evolutionary dynamics of viral escape under antibodies stress: A biophysical model.

Authors:  Nicolas Chéron; Adrian W R Serohijos; Jeong-Mo Choi; Eugene I Shakhnovich
Journal:  Protein Sci       Date:  2016-03-24       Impact factor: 6.725

8.  Statistical Package for Growth Rates Made Easy.

Authors:  Portia Mira; Miriam Barlow; Juan C Meza; Barry G Hall
Journal:  Mol Biol Evol       Date:  2017-12-01       Impact factor: 16.240

Review 9.  Endosymbiont evolution: predictions from theory and surprises from genomes.

Authors:  Jennifer J Wernegreen
Journal:  Ann N Y Acad Sci       Date:  2015-04-09       Impact factor: 5.691

10.  Adaptive tuning of mutation rates allows fast response to lethal stress in Escherichia coli.

Authors:  Toon Swings; Bram Van den Bergh; Sander Wuyts; Eline Oeyen; Karin Voordeckers; Kevin J Verstrepen; Maarten Fauvart; Natalie Verstraeten; Jan Michiels
Journal:  Elife       Date:  2017-05-02       Impact factor: 8.140

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