Literature DB >> 20876562

Diminishing returns from beneficial mutations and pervasive epistasis shape the fitness landscape for rifampicin resistance in Pseudomonas aeruginosa.

R C MacLean1, G G Perron, A Gardner.   

Abstract

Because adaptation depends upon the fixation of novel beneficial mutations, the fitness effects of beneficial mutations that are substituted by selection are key to our understanding of the process of adaptation. In this study, we experimentally investigated the fitness effects of beneficial mutations that are substituted when populations of the pathogenic bacterium Pseudomonas aeruginosa adapt to the antibiotic rifampicin. Specifically, we isolated the first beneficial mutation to be fixed by selection when 96 populations of three different genotypes of P. aeruginosa that vary considerably in fitness in the presence of rifampicin were challenged with adapting to a high dose of this antibiotic. The simple genetics of rifampicin resistance allowed us to determine the genetic basis of adaptation in the majority of our populations. We show that the average fitness effects of fixed beneficial mutations show a simple and clear pattern of diminishing returns, such that selection tends to fix mutations with progressively smaller effects as populations approach a peak on the adaptive landscape. The fitness effects of individual mutations, on the other hand, are highly idiosyncratic across genetic backgrounds, revealing pervasive epistasis. In spite of this complexity of genetic interactions in this system, there is an overall tendency toward diminishing-returns epistasis. We argue that a simple overall pattern of diminishing-returns adaptation emerges, despite pervasive epistasis between beneficial mutations, because many beneficial mutations are available, and while the fitness landscape is rugged at the fine scale, it is smooth and regular when we consider the average over possible routes to adaptation. In the context of antibiotic resistance, these results show that acquiring mutations that confer low levels of antibiotic resistance does not impose any constraint on the ability to evolve high levels of resistance.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 20876562      PMCID: PMC2998316          DOI: 10.1534/genetics.110.123083

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


  36 in total

1.  Fitness effects of advantageous mutations in evolving Escherichia coli populations.

Authors:  M Imhof; C Schlotterer
Journal:  Proc Natl Acad Sci U S A       Date:  2001-01-30       Impact factor: 11.205

2.  Big-benefit mutations in a bacteriophage inhibited with heat.

Authors:  J J Bull; M R Badgett; H A Wichman
Journal:  Mol Biol Evol       Date:  2000-06       Impact factor: 16.240

Review 3.  Evolution experiments with microorganisms: the dynamics and genetic bases of adaptation.

Authors:  Santiago F Elena; Richard E Lenski
Journal:  Nat Rev Genet       Date:  2003-06       Impact factor: 53.242

4.  The population genetics of adaptation: the adaptation of DNA sequences.

Authors:  H Allen Orr
Journal:  Evolution       Date:  2002-07       Impact factor: 3.694

5.  Fitness effects of fixed beneficial mutations in microbial populations.

Authors:  Daniel E Rozen; J Arjan G M de Visser; Philip J Gerrish
Journal:  Curr Biol       Date:  2002-06-25       Impact factor: 10.834

6.  Variable epistatic effects between mutations at host recognition sites in phiX174 bacteriophage.

Authors:  Kim M Pepin; Holly A Wichman
Journal:  Evolution       Date:  2007-07       Impact factor: 3.694

Review 7.  Antibiotic resistance and its cost: is it possible to reverse resistance?

Authors:  Dan I Andersson; Diarmaid Hughes
Journal:  Nat Rev Microbiol       Date:  2010-03-08       Impact factor: 60.633

Review 8.  Dynamics of adaptation and diversification: a 10,000-generation experiment with bacterial populations.

Authors:  R E Lenski; M Travisano
Journal:  Proc Natl Acad Sci U S A       Date:  1994-07-19       Impact factor: 11.205

9.  Structural mechanism for rifampicin inhibition of bacterial rna polymerase.

Authors:  E A Campbell; N Korzheva; A Mustaev; K Murakami; S Nair; A Goldfarb; S A Darst
Journal:  Cell       Date:  2001-03-23       Impact factor: 41.582

10.  Use of the rpoB gene to determine the specificity of base substitution mutations on the Escherichia coli chromosome.

Authors:  Lilit Garibyan; Tiffany Huang; Mandy Kim; Erika Wolff; Anh Nguyen; Theresa Nguyen; Amy Diep; Kaibin Hu; Ayuko Iverson; Hanjing Yang; Jeffrey H Miller
Journal:  DNA Repair (Amst)       Date:  2003-05-13
View more
  70 in total

1.  Mutation-biased adaptation in Andean house wrens.

Authors:  Arlin Stoltzfus; David M McCandlish
Journal:  Proc Natl Acad Sci U S A       Date:  2015-10-21       Impact factor: 11.205

2.  Reverse evolution leads to genotypic incompatibility despite functional and active site convergence.

Authors:  Miriam Kaltenbach; Colin J Jackson; Eleanor C Campbell; Florian Hollfelder; Nobuhiko Tokuriki
Journal:  Elife       Date:  2015-08-14       Impact factor: 8.140

3.  Environment determines epistatic patterns for a ssDNA virus.

Authors:  S Brian Caudle; Craig R Miller; Darin R Rokyta
Journal:  Genetics       Date:  2013-11-08       Impact factor: 4.562

4.  Functional and metabolic effects of adaptive glycerol kinase (GLPK) mutants in Escherichia coli.

Authors:  M Kenyon Applebee; Andrew R Joyce; Tom M Conrad; Donald W Pettigrew; Bernhard Ø Palsson
Journal:  J Biol Chem       Date:  2011-05-06       Impact factor: 5.157

5.  The fitness cost of rifampicin resistance in Pseudomonas aeruginosa depends on demand for RNA polymerase.

Authors:  Alex R Hall; James C Iles; R Craig MacLean
Journal:  Genetics       Date:  2011-01-10       Impact factor: 4.562

6.  Hypermutator Pseudomonas aeruginosa Exploits Multiple Genetic Pathways To Develop Multidrug Resistance during Long-Term Infections in the Airways of Cystic Fibrosis Patients.

Authors:  C A Colque; A G Albarracín Orio; S Feliziani; R L Marvig; A R Tobares; H K Johansen; S Molin; A M Smania
Journal:  Antimicrob Agents Chemother       Date:  2020-04-21       Impact factor: 5.191

7.  The impact of macroscopic epistasis on long-term evolutionary dynamics.

Authors:  Benjamin H Good; Michael M Desai
Journal:  Genetics       Date:  2014-11-12       Impact factor: 4.562

8.  Patterns and Mechanisms of Diminishing Returns from Beneficial Mutations.

Authors:  Xinzhu Wei; Jianzhi Zhang
Journal:  Mol Biol Evol       Date:  2019-05-01       Impact factor: 16.240

9.  The distribution of epistasis on simple fitness landscapes.

Authors:  Christelle Fraïsse; John J Welch
Journal:  Biol Lett       Date:  2019-04-26       Impact factor: 3.703

Review 10.  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

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.