Literature DB >> 22727704

The evolution of low mutation rates in experimental mutator populations of Saccharomyces cerevisiae.

Michael J McDonald1, Yu-Ying Hsieh, Yen-Hsin Yu, Shang-Lin Chang, Jun-Yi Leu.   

Abstract

Mutation is the source of both beneficial adaptive variation and deleterious genetic load, fueling the opposing selective forces than shape mutation rate evolution. This dichotomy is well illustrated by the evolution of the mutator phenotype, a genome-wide 10- to 100-fold increase in mutation rate. This phenotype has often been observed in clonally expanding populations exposed to novel or frequently changing conditions. Although studies of both experimental and natural populations have shed light on the evolutionary forces that lead to the spread of the mutator allele through a population, significant gaps in our understanding of mutator evolution remain. Here we use an experimental evolution approach to investigate the conditions required for the evolution of a reduction in mutation rate and the mechanisms by which populations tolerate the accumulation of deleterious mutations. We find that after ∼6,700 generations, four out of eight experimental mutator lines had evolved a decreased mutation rate. We provide evidence that the accumulation of deleterious mutations leads to selection for reduced mutation rate clones in populations of mutators. Finally, we test the long-term consequences of the mutator phenotype, finding that mutator lines follow different evolutionary trajectories, some of which lead to drug resistance.
Copyright © 2012 Elsevier Ltd. All rights reserved.

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Year:  2012        PMID: 22727704     DOI: 10.1016/j.cub.2012.04.056

Source DB:  PubMed          Journal:  Curr Biol        ISSN: 0960-9822            Impact factor:   10.834


  31 in total

1.  Coevolution with phages does not influence the evolution of bacterial mutation rates in soil.

Authors:  Pedro Gómez; Angus Buckling
Journal:  ISME J       Date:  2013-07-04       Impact factor: 10.302

Review 2.  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

3.  Mutation rate dynamics in a bacterial population reflect tension between adaptation and genetic load.

Authors:  Sébastien Wielgoss; Jeffrey E Barrick; Olivier Tenaillon; Michael J Wiser; W James Dittmar; Stéphane Cruveiller; Béatrice Chane-Woon-Ming; Claudine Médigue; Richard E Lenski; Dominique Schneider
Journal:  Proc Natl Acad Sci U S A       Date:  2012-12-17       Impact factor: 11.205

4.  Deleterious passengers in adapting populations.

Authors:  Benjamin H Good; Michael M Desai
Journal:  Genetics       Date:  2014-09-05       Impact factor: 4.562

Review 5.  Experimental evolution and the dynamics of genomic mutation rate modifiers.

Authors:  Y Raynes; P D Sniegowski
Journal:  Heredity (Edinb)       Date:  2014-05-21       Impact factor: 3.821

6.  Evolution of Mutation Rates in Rapidly Adapting Asexual Populations.

Authors:  Benjamin H Good; Michael M Desai
Journal:  Genetics       Date:  2016-09-19       Impact factor: 4.562

Review 7.  Frequent ploidy changes in growing yeast cultures.

Authors:  Yaniv Harari; Yoav Ram; Martin Kupiec
Journal:  Curr Genet       Date:  2018-03-10       Impact factor: 3.886

8.  Variable Spontaneous Mutation and Loss of Heterozygosity among Heterozygous Genomes in Yeast.

Authors:  Duong T Nguyen; Baojun Wu; Hongan Long; Nan Zhang; Caitlyn Patterson; Stephen Simpson; Krystalynne Morris; W Kelley Thomas; Michael Lynch; Weilong Hao
Journal:  Mol Biol Evol       Date:  2020-11-01       Impact factor: 16.240

9.  The genome-wide rate and spectrum of spontaneous mutations differ between haploid and diploid yeast.

Authors:  Nathaniel P Sharp; Linnea Sandell; Christopher G James; Sarah P Otto
Journal:  Proc Natl Acad Sci U S A       Date:  2018-05-14       Impact factor: 11.205

Review 10.  Genome dynamics during experimental evolution.

Authors:  Jeffrey E Barrick; Richard E Lenski
Journal:  Nat Rev Genet       Date:  2013-10-29       Impact factor: 53.242

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