Evidence map›Paper›PMID 23248287›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2013

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

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

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 156 papers.

0numbers the graph read from it
0cells of the map it votes in
156citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

156 citing papers in PubMed.

  1. Adaptive Laboratory Evolution inMicroorganisms · 2026
    Review
  2. Pyocyanin produced byAntimicrobial agents and chemotherapy · 2026
    Article
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  16. The evolution of robustness and fragility during long-term bacterial adaptation.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  17. Article
  18. Article
  19. Review
  20. Article

96 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Sébastien WielgossLaboratoire Adaptation et Pathogénie des Micro-Organismes, Université Joseph Fourier Grenoble, F-38042 Grenoble Cedex 9, France.
Jeffrey E Barrick
Olivier Tenaillon
Michael J Wiser
W James Dittmar
Stéphane Cruveiller
Béatrice Chane-Woon-Ming
Claudine Médigue
Richard E Lenski
Dominique Schneider

Funding

Identifying Mutations that Promote Microbial EvolvabilityR00GM087550 · NIGMS · UNIVERSITY OF TEXAS AT AUSTIN · PI BARRICK, JEFFREY EVAN · 2011 to 2013
$724k
NIGMS NIH HHS R00 GM087550NIGMS NIH HHS R00GM087550
6 · The paper itself

Abstract

Mutations are the ultimate source of heritable variation for evolution. Understanding how mutation rates themselves evolve is thus essential for quantitatively understanding many evolutionary processes. According to theory, mutation rates should be minimized for well-adapted populations living in stable environments, whereas hypermutators may evolve if conditions change. However, the long-term fate of hypermutators is unknown. Using a phylogenomic approach, we found that an adapting Escherichia coli population that first evolved a mutT hypermutator phenotype was later invaded by two independent lineages with mutY mutations that reduced genome-wide mutation rates. Applying neutral theory to synonymous substitutions, we dated the emergence of these mutations and inferred that the mutT mutation increased the point-mutation rate by ∼150-fold, whereas the mutY mutations reduced the rate by ∼40-60%, with a corresponding decrease in the genetic load. Thus, the long-term fate of the hypermutators was governed by the selective advantage arising from a reduced mutation rate as the potential for further adaptation declined.

Indexed as

Biological EvolutionGenetic LoadMutation RateAdaptation, BiologicalDNA GlycosylasesEscherichia coliEscherichia coli ProteinsLikelihood FunctionsModels, GeneticPhylogenyPopulation DynamicsPyrophosphatasesDNA GlycosylasesEscherichia coli ProteinsmutT protein, E colimutY adenine glycosylasePyrophosphatases

Identifiers

PMID23248287
PMCPMC3538217

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.