Evidence map›Paper›PMID 39920134›Full record

ArticleNature communications2025

The tetracycline resistome is shaped by selection for specific resistance mechanisms by each antibiotic generation.

Kevin S Blake, Yao-Peng Xue, Vincent J Gillespie, Skye R S Fishbein, Niraj H Tolia, Timothy A Wencewicz, Gautam Dantas

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Review
  2. Review
  3. Evolution, Mechanisms, and Therapeutic Implications of Mobile Tetracycline Destructases.BioEssays : news and reviews in molecular, cellular and developmental biology · 2026
    Review
  4. Article
  5. Multiple Independent Origins of TnAntibiotics (Basel, Switzerland) · 2026
    Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Transcriptomic Analysis of the Impact of theAnimals : an open access journal from MDPI · 2025
    Article
  17. Review
  18. Transfer and Fitness of ISMicroorganisms · 2025
    Article
  19. Article
  20. Threat and Control ofFoods (Basel, Switzerland) · 2025
    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

7 authors.

Kevin S BlakeThe Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, MO, USA.ORCID http://orcid.org/0000-0003-4247-1209
Yao-Peng XueThe Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, MO, USA.
Vincent J GillespieThe Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, MO, USA.
Skye R S FishbeinThe Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, MO, USA.ORCID http://orcid.org/0000-0002-9554-1170
Niraj H ToliaHost-Pathogen Interactions and Structural Vaccinology Section, Laboratory of Malaria Immunology and Vaccinology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA. niraj.tolia@nih.gov.ORCID http://orcid.org/0000-0002-2689-1337
Timothy A WencewiczDepartment of Chemistry, Washington University in St. Louis, St. Louis, MO, USA. wencewicz@wustl.edu.ORCID http://orcid.org/0000-0002-5839-6672
Gautam DantasThe Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, MO, USA. dantas@wustl.edu.ORCID http://orcid.org/0000-0003-0455-8370

Funding

CLINICAL/LABORATORY TRAINING ACADEMIC GASTROENTEROLOGYT32DK007130 · NIDDK · WASHINGTON UNIVERSITY · PI MATTHEW AARON CIORBA · 1986 to 2026
$8.3M
Pediatric Gastroenterology Research Training ProgramT32DK077653 · NIDDK · WASHINGTON UNIVERSITY · PI PHILLIP I TARR · 2007 to 2026
$5.8M
STRUCTURAL, MECHANISTIC, & EVOLUTIONARY CHARACTERIZATION OF TETRACYCLINE DESTRUCTASESU01AI123394 · NIAID · WASHINGTON UNIVERSITY · PI DANTAS, GAUTAM, WENCEWICZ, TIMOTHY ADAM · 2020 to 2025
$4.1M
Identifying sources of variation in microbiome-pathogen dynamics during Clostridioides difficile colonizationR00AI175674 · NIAID · OHIO STATE UNIVERSITY · PI Skye Rebecca Fishbein · 2025 to 2026
$494k
Identifying sources of variation in microbiome-pathogen dynamics during Clostridioides difficile colonizationK99AI175674 · NIAID · WASHINGTON UNIVERSITY · PI FISHBEIN, SKYE REBECCA · 2024 to 2024
$126k
NIAID NIH HHS K99 AI175674NIAID NIH HHS R00 AI175674NIAID NIH HHS U01 AI123394NIDDK NIH HHS T32 DK007130NIDDK NIH HHS T32 DK077653U.S. Department of Health & Human Services | NIH | National Institute of Allergy and Infectious Diseases (NIAID) 2U01AI123394U.S. Department of Health & Human Services | NIH | National Institute of Diabetes and Digestive and Kidney Diseases (National Institute of Diabetes & Digestive & Kidney Diseases) T32-DK007130
6 · The paper itself

Abstract

The history of clinical resistance to tetracycline antibiotics is characterized by cycles whereby the deployment of a new generation of drug molecules is quickly followed by the discovery of a new mechanism of resistance. This suggests mechanism-specific selection by each tetracycline generation; however, the evolutionary dynamics of this remain unclear. Here, we evaluate 24 recombinant Escherichia coli strains expressing tetracycline resistance genes from each mechanism (efflux pumps, ribosomal protection proteins, and enzymatic inactivation) in the context of each tetracycline generation. We employ a high-throughput barcode sequencing protocol that can discriminate between strains in mixed culture and quantify their relative abundances. We find that each mechanism is preferentially selected for by specific antibiotic generations, leading to their expansion. Remarkably, the minimum inhibitory concentration associated with individual genes is secondary to resistance mechanism for inter-mechanism relative fitness, but it does explain intra-mechanism relative fitness. These patterns match the history of clinical deployment of tetracycline drugs and resistance discovery in pathogens.

Indexed as

Anti-Bacterial AgentsEscherichia coliSelection, GeneticTetracyclineTetracycline ResistanceMicrobial Sensitivity TestsAnti-Bacterial AgentsTetracycline

Identifiers

PMID39920134
PMCPMC11806011

What Socratic 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 Socratic graph.