Evidence map›Paper›PMID 31644535›Full record

ArticlePLoS biology2019

Historical contingency in the evolution of antibiotic resistance after decades of relaxed selection.

Kyle J Card, Thomas LaBar, Jasper B Gomez, Richard E Lenski

Abstract read
In one paragraph

Article in PLoS biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing 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

41 citing papers in PubMed.

  1. Article
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  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Evolution under vancomycin selection drives divergent collateral sensitivity patterns inProceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Evolution takes multiple paths to evolvability when facing environmental change.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Genome and transcriptomic analysis of the adaptation ofComputational and structural biotechnology journal · 2024
    Review
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

4 authors.

Kyle J CardBEACON Center for the Study of Evolution in Action, Michigan State University, East Lansing, Michigan, United States of America.ORCID 0000-0002-0462-2777
Thomas LaBarBEACON Center for the Study of Evolution in Action, Michigan State University, East Lansing, Michigan, United States of America.ORCID 0000-0003-3869-6720
Jasper B GomezBEACON Center for the Study of Evolution in Action, Michigan State University, East Lansing, Michigan, United States of America.
Richard E LenskiBEACON Center for the Study of Evolution in Action, Michigan State University, East Lansing, Michigan, United States of America.ORCID 0000-0002-1064-8375

Funding

Howard Hughes Medical Institute
6 · The paper itself

Abstract

Populations often encounter changed environments that remove selection for the maintenance of particular phenotypic traits. The resulting genetic decay of those traits under relaxed selection reduces an organism's fitness in its prior environment. However, whether and how such decay alters the subsequent evolvability of a population upon restoration of selection for a previously diminished trait is not well understood. We addressed this question using Escherichia coli strains from the long-term evolution experiment (LTEE) that independently evolved for multiple decades in the absence of antibiotics. We first confirmed that these derived strains are typically more sensitive to various antibiotics than their common ancestor. We then subjected the ancestral and derived strains to various concentrations of these drugs to examine their potential to evolve increased resistance. We found that evolvability was idiosyncratic with respect to initial genotype; that is, the derived strains did not generally compensate for their greater susceptibility by "catching up" to the resistance level of the ancestor. Instead, the capacity to evolve increased resistance was constrained in some backgrounds, implying that evolvability depended upon prior mutations in a historically contingent fashion. We further subjected a time series of clones from one LTEE population to tetracycline and determined that an evolutionary constraint arose early in that population, corroborating the role of contingency. In summary, relaxed selection not only can drive populations to increased antibiotic susceptibility, but it can also affect the subsequent evolvability of antibiotic resistance in an unpredictable manner. This conclusion has potential implications for public health, and it underscores the need to consider the genetic context of pathogens when designing drug-treatment strategies.

Indexed as

Directed Molecular EvolutionSelection, GeneticAmpicillinAnti-Bacterial AgentsCeftriaxoneCiprofloxacinDrug Resistance, BacterialEscherichia coliGenotypeMutationPublic HealthQuantitative Trait, HeritableTetracyclineAmpicillinAnti-Bacterial AgentsCeftriaxoneCiprofloxacinTetracycline

Identifiers

PMID31644535
PMCPMC6827916

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.