Evidence map›Paper›PMID 27479321›Full record

ArticleNature2016

Tempo and mode of genome evolution in a 50,000-generation experiment.

Olivier Tenaillon, Jeffrey E Barrick, Noah Ribeck, Daniel E Deatherage, Jeffrey L Blanchard, Aurko Dasgupta, Gabriel C Wu, Sébastien Wielgoss, Stéphane Cruveiller, Claudine Médigue and 2 more

Abstract read
In one paragraph

Article in Nature, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 260 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
260citing papers in PubMed, 1 pooled it
–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

260 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Interaction between mutation type and gene pleiotropy drives parallel evolution in the laboratory.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Pooled it
  2. Article
  3. Article
  4. Adaptive Laboratory Evolution inMicroorganisms · 2026
    Review
  5. OpenEvo: An Open-Source Platform for Automated Evolution and Analysis.bioRxiv : the preprint server for biology · 2026
    Article
  6. Article
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  18. Article
  19. The evolution of genetic drift over 50,000 generations.bioRxiv : the preprint server for biology · 2026
    Article
  20. Article

200 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

12 authors.

Olivier Tenaillon
Jeffrey E Barrick
Noah Ribeck
Daniel E Deatherage
Jeffrey L Blanchard
Aurko Dasgupta
Gabriel C Wu
Sébastien Wielgoss
Stéphane Cruveiller
Claudine Médigue
Dominique Schneider
Richard E Lenski

Funding

Identifying Mutations that Promote Microbial EvolvabilityR00GM087550 · NIGMS · UNIVERSITY OF TEXAS AT AUSTIN · PI BARRICK, JEFFREY EVAN · 2011 to 2013
$724k
European Research Council 310944NIGMS NIH HHS R00 GM087550NIGMS NIH HHS R00-GM087550
6 · The paper itself

Abstract

Adaptation by natural selection depends on the rates, effects and interactions of many mutations, making it difficult to determine what proportion of mutations in an evolving lineage are beneficial. Here we analysed 264 complete genomes from 12 Escherichia coli populations to characterize their dynamics over 50,000 generations. The populations that retained the ancestral mutation rate support a model in which most fixed mutations are beneficial, the fraction of beneficial mutations declines as fitness rises, and neutral mutations accumulate at a constant rate. We also compared these populations to mutation-accumulation lines evolved under a bottlenecking regime that minimizes selection. Nonsynonymous mutations, intergenic mutations, insertions and deletions are overrepresented in the long-term populations, further supporting the inference that most mutations that reached high frequency were favoured by selection. These results illuminate the shifting balance of forces that govern genome evolution in populations adapting to a new environment.

Indexed as

Evolution, MolecularMutation RateEscherichia coliEscherichia coli ProteinsGenes, BacterialGenetic LociGenome, BacterialModels, GeneticPhylogenyReproduction, AsexualSelection, GeneticTime FactorsEscherichia coli Proteins

Identifiers

PMID27479321
PMCPMC4988878

What OpenQuestion holds

Textmetadata
LicenceTDM
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.