Evidence map›Paper›PMID 29073099›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2017

Mutator genomes decay, despite sustained fitness gains, in a long-term experiment with bacteria.

Alejandro Couce, Larissa Viraphong Caudwell, Christoph Feinauer, Thomas Hindré, Jean-Paul Feugeas, Martin Weigt, Richard E Lenski, Dominique Schneider, Olivier Tenaillon

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.

0numbers the graph read from it
0cells of the map it votes in
54citing 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

54 citing papers in PubMed.

  1. Article
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  6. Dynamic expedition of leading mutations in SARS-CoV-2 spike glycoproteins.Computational and structural biotechnology journal · 2024
    Article
  7. Emergent time scales of epistasis in protein evolution.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  8. Article
  9. The physical and evolutionary energy landscapes of devolved protein sequences corresponding to pseudogenes.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  10. Article
  11. Article
  12. Article
  13. Predicting the effect of mutations to investigate recent events of selection across 60,472Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  14. Article
  15. Shifts in mutation spectra enhance access to beneficial mutations.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  16. Review
  17. Within-host evolution of the gut microbiome.Current opinion in microbiology · 2023
    Review
  18. Article
  19. Article
  20. Article
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

9 authors.

Alejandro CouceUnité Mixte de Recherche 1137, Infection, Antimicrobiens, Modélisation, Evolution, INSERM, Université Paris Diderot, 75018 Paris, France.
Larissa Viraphong CaudwellUnité Mixte de Recherche 5525, Technologies de l'Ingénierie Médicale et de la Complexité - Informatique, Mathématiques et Applications Grenoble, Université Grenoble Alpes, CNRS, 38000 Grenoble, France.
Christoph FeinauerDepartment of Microbiology and Molecular Genetics, Michigan State University, East Lansing, MI 48824.
Thomas HindréUnité Mixte de Recherche 5525, Technologies de l'Ingénierie Médicale et de la Complexité - Informatique, Mathématiques et Applications Grenoble, Université Grenoble Alpes, CNRS, 38000 Grenoble, France.
Jean-Paul FeugeasUnité Mixte de Recherche 1137, Infection, Antimicrobiens, Modélisation, Evolution, INSERM, Université Paris Diderot, 75018 Paris, France.
Martin WeigtLaboratoire de Biologie Computationnelle et Quantitative, Sorbonne Universités, Université Pierre et Marie Curie, Université Paris 06, CNRS, Institut de Biologie Paris Seine, 75005 Paris, France.ORCID 0000-0002-0492-3684
Richard E LenskiDepartment of Microbiology and Molecular Genetics, Michigan State University, East Lansing, MI 48824.
Dominique SchneiderUnité Mixte de Recherche 5525, Technologies de l'Ingénierie Médicale et de la Complexité - Informatique, Mathématiques et Applications Grenoble, Université Grenoble Alpes, CNRS, 38000 Grenoble, France.
Olivier TenaillonUnité Mixte de Recherche 1137, Infection, Antimicrobiens, Modélisation, Evolution, INSERM, Université Paris Diderot, 75018 Paris, France; olivier.tenaillon@inserm.fr.

Funding

European Research Council 310944
6 · The paper itself

Abstract

Understanding the extreme variation among bacterial genomes remains an unsolved challenge in evolutionary biology, despite long-standing debate about the relative importance of natural selection, mutation, and random drift. A potentially important confounding factor is the variation in mutation rates between lineages and over evolutionary history, which has been documented in several species. Mutation accumulation experiments have shown that hypermutability can erode genomes over short timescales. These results, however, were obtained under conditions of extremely weak selection, casting doubt on their general relevance. Here, we circumvent this limitation by analyzing genomes from mutator populations that arose during a long-term experiment with

Indexed as

Evolution, MolecularGenome, BacterialSelection, GeneticEscherichia coliMutationMutation RatePhylogenyexperimental evolutionGC contentgenetic drafthypermutabilityselection

Identifiers

PMID29073099
PMCPMC5664506

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.