Evidence map›Paper›PMID 40889132›Full record

ArticleMicrobial genomics2025

Genomic resistance in historical clinical isolates increased in frequency and mobility after the age of antibiotics.

Arya Kaul, Célia Souque, Mische Holland, Michael Baym

Abstract read
In one paragraph

Article in Microbial genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Putative azithromycin resistance mutations inAntimicrobial agents and chemotherapy · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Arya KaulDepartments of Biomedical Informatics and Microbiology and Laboratory of Systems Pharmacology, Harvard Medical School, Boston, MA, 02115, USA.
Célia SouqueDepartments of Biomedical Informatics and Microbiology and Laboratory of Systems Pharmacology, Harvard Medical School, Boston, MA, 02115, USA.
Mische HollandDepartments of Biomedical Informatics and Microbiology and Laboratory of Systems Pharmacology, Harvard Medical School, Boston, MA, 02115, USA.
Michael BaymDepartments of Biomedical Informatics and Microbiology and Laboratory of Systems Pharmacology, Harvard Medical School, Boston, MA, 02115, USA.

Funding

Training Program in Bioinformatics and Integrative GenomicsT32HG002295 · NHGRI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI Peter J Park · 2001 to 2026
$15.8M
Evolutionary Tradeoffs in Antibiotic ResistanceR35GM133700 · NIGMS · HARVARD MEDICAL SCHOOL · PI BAYM, MICHAEL · 2019 to 2023
$2.4M
NHGRI NIH HHS T32 HG002295NIGMS NIH HHS R35 GM133700
6 · The paper itself

Abstract

Antibiotic resistance is frequently observed shortly after the clinical introduction of an antibiotic. Whether and how frequently that resistance occurred before the introduction is harder to determine, as isolates could not have been tested for resistance before an antibiotic was discovered. Historical collections, like the British National Collection of Type Cultures (NCTC), stretching back to 1885, provide a window into this history. Here, we match 1,817 sequenced high-quality genomes from the NCTC collection to their respective year of isolation to study resistance genes before and concurrent with the age of antibiotics. Concordant with previous work, we find resistance genes in both pathogens and environmental samples before the age of antibiotics. While generally rare before the introduction of an antibiotic, we find an associated increase in frequency with antibiotic introduction. Finally, we observe a trend of resistance elements becoming both increasingly mobile and nested within multiple mobile elements as time goes on. More broadly, our findings suggest that likely functional antibiotic resistance genes were circulating in clinically relevant isolates before the age of antibiotics, but human usage is associated with increasing both their overall prevalence and mobility.

Indexed as

Anti-Bacterial AgentsBacteriaDrug Resistance, BacterialGenome, BacterialGenomicsHumansInterspersed Repetitive SequencesAnti-Bacterial Agentsantibiotic resistancehistorical genomicsNational Collection of Type Cultures

Identifiers

PMID40889132
PMCPMC12401160

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.