Literature DB >> 18487343

Impact of individual mutations on increased fitness in adaptively evolved strains of Escherichia coli.

M Kenyon Applebee1, Markus J Herrgård, Bernhard Ø Palsson.   

Abstract

We measured the relative fitness among a set of experimentally evolved Escherichia coli strains differing by a small number of adaptive mutations by directly measuring allelic frequencies in head-to-head competitions using a mass spectrometry-based method. We compared the relative effects of mutations to the same or similar genes acquired in multiple strains when expressed in allele replacement strains. We found that the strongest determinant of fitness among the evolved strains was the impact of beneficial mutations to the RNA polymerase beta and beta' subunit genes. We also identified several examples of epistatic interactions between rpoB/C and glpK mutations and identified two other mutations that are beneficial only in the presence of previously acquired mutations but that have little or no adaptive benefit to the wild-type strain. Allele frequency estimation is shown to be a highly sensitive method for measuring selection rates during competitions between strains differing by as little as a single-nucleotide polymorphism and may be of great use for investigating epistatic interactions.

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Year:  2008        PMID: 18487343      PMCID: PMC2447027          DOI: 10.1128/JB.01976-07

Source DB:  PubMed          Journal:  J Bacteriol        ISSN: 0021-9193            Impact factor:   3.490


  25 in total

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4.  Variable pleiotropic effects from mutations at the same locus hamper prediction of fitness from a fitness component.

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5.  Tests of parallel molecular evolution in a long-term experiment with Escherichia coli.

Authors:  Robert Woods; Dominique Schneider; Cynthia L Winkworth; Margaret A Riley; Richard E Lenski
Journal:  Proc Natl Acad Sci U S A       Date:  2006-06-02       Impact factor: 11.205

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8.  Comparative genome sequencing of Escherichia coli allows observation of bacterial evolution on a laboratory timescale.

Authors:  Christopher D Herring; Anu Raghunathan; Christiane Honisch; Trina Patel; M Kenyon Applebee; Andrew R Joyce; Thomas J Albert; Frederick R Blattner; Dirk van den Boom; Charles R Cantor; Bernhard Ø Palsson
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9.  Description and interpretation of adaptive evolution of Escherichia coli K-12 MG1655 by using a genome-scale in silico metabolic model.

Authors:  Stephen S Fong; Jennifer Y Marciniak; Bernhard Ø Palsson
Journal:  J Bacteriol       Date:  2003-11       Impact factor: 3.490

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  26 in total

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Review 2.  New insights into bacterial adaptation through in vivo and in silico experimental evolution.

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Journal:  Nat Rev Microbiol       Date:  2012-03-27       Impact factor: 60.633

3.  RNA polymerase mutants found through adaptive evolution reprogram Escherichia coli for optimal growth in minimal media.

Authors:  Tom M Conrad; Michael Frazier; Andrew R Joyce; Byung-Kwan Cho; Eric M Knight; Nathan E Lewis; Robert Landick; Bernhard Ø Palsson
Journal:  Proc Natl Acad Sci U S A       Date:  2010-11-05       Impact factor: 11.205

4.  Functional integration of a metabolic network model and expression data without arbitrary thresholding.

Authors:  Paul A Jensen; Jason A Papin
Journal:  Bioinformatics       Date:  2010-12-20       Impact factor: 6.937

5.  Revealing the genetic basis of natural bacterial phenotypic divergence.

Authors:  Peter L Freddolino; Hani Goodarzi; Saeed Tavazoie
Journal:  J Bacteriol       Date:  2013-12-06       Impact factor: 3.490

6.  Stochastic tuning of gene expression enables cellular adaptation in the absence of pre-existing regulatory circuitry.

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Journal:  Elife       Date:  2018-04-05       Impact factor: 8.140

7.  Probing the basis for genotype-phenotype relationships.

Authors:  Byung-Kwan Cho; Bernhard Ø Palsson
Journal:  Nat Methods       Date:  2009-08       Impact factor: 28.547

8.  Central role of the cell in microbial ecology.

Authors:  Karsten Zengler
Journal:  Microbiol Mol Biol Rev       Date:  2009-12       Impact factor: 11.056

9.  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

10.  Whole-genome resequencing of Escherichia coli K-12 MG1655 undergoing short-term laboratory evolution in lactate minimal media reveals flexible selection of adaptive mutations.

Authors:  Tom M Conrad; Andrew R Joyce; M Kenyon Applebee; Christian L Barrett; Bin Xie; Yuan Gao; Bernhard Ø Palsson
Journal:  Genome Biol       Date:  2009-10-22       Impact factor: 13.583

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