Literature DB >> 21868607

Cost of adaptation and fitness effects of beneficial mutations in Pseudomonas fluorescens.

Thomas Bataillon1, Tianyi Zhang, Rees Kassen.   

Abstract

Adaptations are constructed through the sequential substitution of beneficial mutations by natural selection. However, the rarity of beneficial mutations has precluded efforts to describe even their most basic properties. Do beneficial mutations typically confer small or large fitness gains? Are their fitness effects environment specific, or are they broadly beneficial across a range of environments? To answer these questions, we used two subsets (n = 18 and n = 63) of a large library of mutants carrying antibiotic resistance mutations in the bacterium Pseudomonas fluorescens whose fitness, along with the antibiotic sensitive ancestor, was assayed across 95 novel environments differing in the carbon source available for growth. We explore patterns of genotype-by-environment (G × E) interactions and ecological specialization among the 18 mutants initially found superior to the sensitive ancestor in one environment. We find that G × E is remarkably similar between the two sets of mutants and that beneficial mutants are not typically associated with large costs of adaptation. Fitness effects among beneficial mutants depart from a strict exponential distribution: they assume a variety of shapes that are often roughly L shaped but always right truncated. Distributions of (beneficial) fitness effects predicted by a landscape model assuming multiple traits underlying fitness and a single optimum often provide a good description of the empirical distributions in our data. Simulations of data sets containing a mixture of single and double mutants under this landscape show that inferences about the distribution of fitness effects of beneficial mutants is quite robust to contamination by second-site mutations.

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Year:  2011        PMID: 21868607      PMCID: PMC3213353          DOI: 10.1534/genetics.111.130468

Source DB:  PubMed          Journal:  Genetics        ISSN: 0016-6731            Impact factor:   4.562


  26 in total

1.  The epidemiology of antibiotic resistance in hospitals: paradoxes and prescriptions.

Authors:  M Lipsitch; C T Bergstrom; B R Levin
Journal:  Proc Natl Acad Sci U S A       Date:  2000-02-15       Impact factor: 11.205

2.  The ecology and genetics of fitness in Chlamydomonas. X. The relationship between genetic correlation and genetic distance.

Authors:  R Kassen; G Bell
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3.  Contribution of individual random mutations to genotype-by-environment interactions in Escherichia coli.

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Review 4.  In vitro selection of antibiotic resistance in Pseudomonas aeruginosa.

Authors:  T Köhler; C Pechère
Journal:  Clin Microbiol Infect       Date:  2001       Impact factor: 8.067

5.  Impact of gyrA and parC mutations on quinolone resistance, doubling time, and supercoiling degree of Escherichia coli.

Authors:  S Bagel; V Hüllen; B Wiedemann; P Heisig
Journal:  Antimicrob Agents Chemother       Date:  1999-04       Impact factor: 5.191

6.  The distribution of fitness effects among beneficial mutations.

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

Review 7.  The genetic theory of adaptation: a brief history.

Authors:  H Allen Orr
Journal:  Nat Rev Genet       Date:  2005-02       Impact factor: 53.242

8.  Pleiotropic effects of beneficial mutations in Escherichia coli.

Authors:  Elizabeth A Ostrowski; Daniel E Rozen; Richard E Lenski
Journal:  Evolution       Date:  2005-11       Impact factor: 3.694

Review 9.  Parallel evolution and local differentiation in quinolone resistance in Pseudomonas aeruginosa.

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Journal:  Microbiology       Date:  2011-02-03       Impact factor: 2.777

10.  Identification and characterization of inhibitors of multidrug resistance efflux pumps in Pseudomonas aeruginosa: novel agents for combination therapy.

Authors:  O Lomovskaya; M S Warren; A Lee; J Galazzo; R Fronko; M Lee; J Blais; D Cho; S Chamberland; T Renau; R Leger; S Hecker; W Watkins; K Hoshino; H Ishida; V J Lee
Journal:  Antimicrob Agents Chemother       Date:  2001-01       Impact factor: 5.191

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  36 in total

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Authors:  Marjon G J de Vos; Alexandre Dawid; Vanda Sunderlikova; Sander J Tans
Journal:  Proc Natl Acad Sci U S A       Date:  2015-11-13       Impact factor: 11.205

2.  Temporal patterns of local adaptation in soil pseudomonads.

Authors:  Susanne A Kraemer; Rees Kassen
Journal:  Proc Biol Sci       Date:  2016-10-12       Impact factor: 5.349

3.  Larger bacterial populations evolve heavier fitness trade-offs and undergo greater ecological specialization.

Authors:  Yashraj Chavhan; Sarthak Malusare; Sutirth Dey
Journal:  Heredity (Edinb)       Date:  2020-03-18       Impact factor: 3.821

4.  Mutation-Driven Parallel Evolution during Viral Adaptation.

Authors:  Andrew M Sackman; Lindsey W McGee; Anneliese J Morrison; Jessica Pierce; Jeremy Anisman; Hunter Hamilton; Stephanie Sanderbeck; Cayla Newman; Darin R Rokyta
Journal:  Mol Biol Evol       Date:  2017-12-01       Impact factor: 16.240

5.  Additive Phenotypes Underlie Epistasis of Fitness Effects.

Authors:  Andrew M Sackman; Darin R Rokyta
Journal:  Genetics       Date:  2017-11-07       Impact factor: 4.562

6.  Genetic Paths to Evolutionary Rescue and the Distribution of Fitness Effects Along Them.

Authors:  Matthew M Osmond; Sarah P Otto; Guillaume Martin
Journal:  Genetics       Date:  2019-12-10       Impact factor: 4.562

7.  Parallel genetic changes and nonparallel gene-environment interactions characterize the evolution of drug resistance in yeast.

Authors:  Aleeza C Gerstein; Dara S Lo; Sarah P Otto
Journal:  Genetics       Date:  2012-06-19       Impact factor: 4.562

8.  The fitness landscape of the codon space across environments.

Authors:  Inês Fragata; Sebastian Matuszewski; Mark A Schmitz; Thomas Bataillon; Jeffrey D Jensen; Claudia Bank
Journal:  Heredity (Edinb)       Date:  2018-08-20       Impact factor: 3.821

9.  The fates of mutant lineages and the distribution of fitness effects of beneficial mutations in laboratory budding yeast populations.

Authors:  Evgeni M Frenkel; Benjamin H Good; Michael M Desai
Journal:  Genetics       Date:  2014-02-10       Impact factor: 4.562

10.  Increased survival of antibiotic-resistant Escherichia coli inside macrophages.

Authors:  Migla Miskinyte; Isabel Gordo
Journal:  Antimicrob Agents Chemother       Date:  2012-10-22       Impact factor: 5.191

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