Evidence map›Paper›PMID 33441451›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2021

Genomic evolution of antibiotic resistance is contingent on genetic background following a long-term experiment with

Kyle J Card, Misty D Thomas, Joseph L Graves, Jeffrey E Barrick, Richard E Lenski

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing 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

50 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Review
  10. Review
  11. Microbial Evolution and Systematics: Archaea and Bacteria.Progress in molecular and subcellular biology · 2026
    Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Evolution under vancomycin selection drives divergent collateral sensitivity patterns inProceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  17. Article
  18. Article
  19. Review
  20. 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

5 authors.

Kyle J CardBEACON Center for the Study of Evolution in Action, Michigan State University, East Lansing, MI 48824; cardkyle@msu.edu.ORCID 0000-0002-0462-2777
Misty D ThomasBEACON Center for the Study of Evolution in Action, Michigan State University, East Lansing, MI 48824.
Joseph L GravesBEACON Center for the Study of Evolution in Action, Michigan State University, East Lansing, MI 48824.ORCID 0000-0001-8446-1709
Jeffrey E BarrickBEACON Center for the Study of Evolution in Action, Michigan State University, East Lansing, MI 48824.ORCID 0000-0003-0888-7358
Richard E LenskiBEACON Center for the Study of Evolution in Action, Michigan State University, East Lansing, MI 48824.ORCID 0000-0002-1064-8375

Funding

Howard Hughes Medical Institute
6 · The paper itself

Abstract

Antibiotic resistance is a growing health concern. Efforts to control resistance would benefit from an improved ability to forecast when and how it will evolve. Epistatic interactions between mutations can promote divergent evolutionary trajectories, which complicates our ability to predict evolution. We recently showed that differences between genetic backgrounds can lead to idiosyncratic responses in the evolvability of phenotypic resistance, even among closely related

Indexed as

Evolution, MolecularGenome, BacterialAnti-Bacterial AgentsDrug Resistance, MicrobialEscherichia coliGenes, BacterialGenomicsMutationAnti-Bacterial Agentsantimicrobial resistanceepistasisexperimental evolutionhistorical contingencyparallel evolution

Identifiers

PMID33441451
PMCPMC7865137

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.