Evidence map›Paper›PMID 27572640›Full record

ArticleNature microbiology2016

Frequency of antibiotic application drives rapid evolutionary adaptation of Escherichia coli persistence.

Bram Van den Bergh, Joran E Michiels, Tom Wenseleers, Etthel M Windels, Pieterjan Vanden Boer, Donaat Kestemont, Luc De Meester, Kevin J Verstrepen, Natalie Verstraeten, Maarten Fauvart and 1 more

Abstract read
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In one paragraph

Article in Nature microbiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 147 papers.

0numbers the graph read from it
0cells of the map it votes in
147citing papers in PubMed
23.4field-weighted citation impact, top 1% of its field
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

147 citing papers in PubMed, 279 citations in OpenAlex.

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  15. Surviving Colonies ofAntibiotics (Basel, Switzerland) · 2025
    Article
  16. Article
  17. Experimental evolution ofMicrobiology spectrum · 2025
    Article
  18. Article
  19. Article
  20. Article

87 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

11 authors at 3 institutions in 1 country.

Bram Van den BerghKU Leuven - University of Leuven, Centre of Microbial and Plant Genetics, B-3001 Leuven, Belgium.
Joran E MichielsKU Leuven - University of Leuven, Centre of Microbial and Plant Genetics, B-3001 Leuven, Belgium.ORCID http://orcid.org/0000-0003-2169-3507
Tom WenseleersKU Leuven - University of Leuven, Laboratory of Socioecology and Social Evolution, B-3000 Leuven, Belgium.
Etthel M WindelsKU Leuven - University of Leuven, Centre of Microbial and Plant Genetics, B-3001 Leuven, Belgium.
Pieterjan Vanden BoerKU Leuven - University of Leuven, Centre of Microbial and Plant Genetics, B-3001 Leuven, Belgium.
Donaat KestemontKU Leuven - University of Leuven, Centre of Microbial and Plant Genetics, B-3001 Leuven, Belgium.ORCID http://orcid.org/0000-0001-5822-1250
Luc De MeesterKU Leuven - University of Leuven, Laboratory of Aquatic Ecology, Evolution and Conservation, B-3000 Leuven, Belgium.
Kevin J VerstrepenKU Leuven - University of Leuven, Centre of Microbial and Plant Genetics, B-3001 Leuven, Belgium.
Natalie VerstraetenKU Leuven - University of Leuven, Centre of Microbial and Plant Genetics, B-3001 Leuven, Belgium.
Maarten FauvartKU Leuven - University of Leuven, Centre of Microbial and Plant Genetics, B-3001 Leuven, Belgium.
Jan MichielsKU Leuven - University of Leuven, Centre of Microbial and Plant Genetics, B-3001 Leuven, Belgium.ORCID http://orcid.org/0000-0002-3043-3259
KU Leuven · BEIMEC · BEVlaams Instituut voor Biotechnologie · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The evolution of antibiotic resistance is a major threat to society and has been predicted to lead to 10 million casualties annually by 2050(1). Further aggravating the problem, multidrug tolerance in bacteria not only relies on the build-up of resistance mutations, but also on some cells epigenetically switching to a non-growing antibiotic-tolerant 'persister' state(2-6). Yet, despite its importance, we know little of how persistence evolves in the face of antibiotic treatment(7). Our evolution experiments in Escherichia coli demonstrate that extremely high levels of multidrug tolerance (20-100%) are achieved by single point mutations in one of several genes and readily emerge under conditions approximating clinical, once-daily dosing schemes. In contrast, reversion to low persistence in the absence of antibiotic treatment is relatively slow and only partially effective. Moreover, and in support of previous mathematical models(8-10), we show that bacterial persistence quickly adapts to drug treatment frequency and that the observed rates of switching to the persister state can be understood in the context of 'bet-hedging' theory. We conclude that persistence is a major component of the evolutionary response to antibiotics that urgently needs to be considered in both diagnostic testing and treatment design in the battle against multidrug tolerance.

Indexed as

Drug Resistance, BacterialDrug ToleranceDrug UtilizationAnti-Bacterial AgentsEscherichia coliAnti-Bacterial Agents

Identifiers

PMID27572640
OpenAlexW2319149979

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.