Evidence map›Paper›PMID 20080608›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2010

Optimization of DNA polymerase mutation rates during bacterial evolution.

Ern Loh, Jesse J Salk, Lawrence A Loeb

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.

0numbers the graph read from it
0cells of the map it votes in
53citing 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

53 citing papers in PubMed.

  1. Article
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  5. Article
  6. The fidelity of transcription in human cells.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  7. Review
  8. Recent insights into the evolution of mutation rates in yeast.Current opinion in genetics & development · 2022
    Review
  9. Article
  10. Review
  11. Article
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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

3 authors.

Ern LohJoseph Gottstein Memorial Cancer Research Laboratory, Department of Pathology, University of Washington, Seattle, WA 98195, USA.
Jesse J Salk
Lawrence A Loeb

Funding

Fidelity of DNA SynthesisR01CA102029 · NCI · UNIVERSITY OF WASHINGTON · PI LOEB, LAWRENCE A · 2003 to 2012
$3.3M
Mutator Phenotype in Human CancersR01CA115802 · NCI · UNIVERSITY OF WASHINGTON · PI LOEB, LAWRENCE A · 2007 to 2011
$1.5M
Somatic Mutations in Human AgingF30AG033485 · NIA · UNIVERSITY OF WASHINGTON · PI SALK, JESSE J · 2008 to 2011
$135k
NCI NIH HHS CA102029NCI NIH HHS CA115802NCI NIH HHS R01 CA102029NCI NIH HHS R01 CA115802NIA NIH HHS AG033485NIA NIH HHS F30 AG033485
6 · The paper itself

Abstract

Mutation rate is an important determinant of evolvability. The optimal mutation rate for different organisms during evolution has been modeled in silico and tested in vivo, predominantly through pairwise comparisons. To characterize the fitness landscape across a broad range of mutation rates, we generated a panel of 66 DNA polymerase I mutants in Escherichia coli with comparable growth properties, yet with differing DNA replication fidelities, spanning 10(3)-fold higher and lower than that of wild type. These strains were competed for 350 generations in six replicate cultures in two different environments. A narrow range of mutation rates, 10- to 47-fold greater than that of wild type, predominated after serial passage. Mutants exhibiting higher mutation rates were not detected, nor were wild-type or antimutator strains. Winning clones exhibited shorter doubling times, greater maximum culture densities, and a growth advantages in pairwise competition relative to their precompetition ancestors, indicating the acquisition of adaptive phenotypes. To investigate the basis for mutator selection, we undertook a large series of pairwise competitions between mutator and wild-type strains under conditions where, in most cases, one strain completely overtook the culture within 18 days. Mutators were the most frequent winners but wild-type strains were also observed winning, suggesting that the competitive advantage of mutators is due to a greater probability of developing selectably advantageous mutations rather than from an initial growth advantage conferred by the polymerase variant itself. Our results indicate that under conditions where organism fitness is not yet maximized for a particular environment, competitive adaptation may be facilitated by enhanced mutagenesis.

Indexed as

Biological EvolutionMutationDNA Polymerase IEscherichia coliDNA Polymerase I

Identifiers

PMID20080608
PMCPMC2824296

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.