Evidence map›Paper›PMID 29686259›Full record

ArticleNature communications2018

Evolution of high-level resistance during low-level antibiotic exposure.

Erik Wistrand-Yuen, Michael Knopp, Karin Hjort, Sanna Koskiniemi, Otto G Berg, Dan I Andersson

Abstract read
In one paragraph

Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 199 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
199citing papers in PubMed, 1 pooled it
–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

199 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  19. Antibiotic resistance inFrontiers in microbiology · 2026
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139 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

6 authors.

Erik Wistrand-YuenDepartment of Medical Biochemistry and Microbiology, Uppsala University, 75237, Uppsala, Sweden.ORCID http://orcid.org/0000-0002-2753-1480
Michael KnoppDepartment of Medical Biochemistry and Microbiology, Uppsala University, 75237, Uppsala, Sweden.ORCID http://orcid.org/0000-0002-8218-3263
Karin HjortDepartment of Medical Biochemistry and Microbiology, Uppsala University, 75237, Uppsala, Sweden.
Sanna KoskiniemiDepartment of Cell and Molecular Biology, Uppsala University, 75237, Uppsala, Sweden.ORCID http://orcid.org/0000-0002-3275-0936
Otto G BergDepartment of Cell and Molecular Biology, Uppsala University, 75237, Uppsala, Sweden.
Dan I AnderssonDepartment of Medical Biochemistry and Microbiology, Uppsala University, 75237, Uppsala, Sweden. dan.andersson@imbim.uu.se.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It has become increasingly clear that low levels of antibiotics present in many environments can select for resistant bacteria, yet the evolutionary pathways for resistance development during exposure to low amounts of antibiotics remain poorly defined. Here we show that Salmonella enterica exposed to sub-MIC levels of streptomycin evolved high-level resistance via novel mechanisms that are different from those observed during lethal selections. During lethal selection only rpsL mutations are found, whereas at sub-MIC selection resistance is generated by several small-effect resistance mutations that combined confer high-level resistance via three different mechanisms: (i) alteration of the ribosomal RNA target (gidB mutations), (ii) reduction in aminoglycoside uptake (cyoB, nuoG, and trkH mutations), and (iii) induction of the aminoglycoside-modifying enzyme AadA (znuA mutations). These results demonstrate how the strength of the selective pressure influences evolutionary trajectories and that even weak selective pressures can cause evolution of high-level resistance.

Indexed as

Evolution, MolecularModels, GeneticAnti-Bacterial AgentsBacterial ProteinsDose-Response Relationship, DrugDrug Resistance, BacterialGenome, BacterialMicrobial Sensitivity TestsMutationRibosomal ProteinsSalmonella entericaSelection, GeneticStreptomycinWhole Genome SequencingAnti-Bacterial AgentsBacterial ProteinsRibosomal Proteinsribosomal protein S12Streptomycin

Identifiers

PMID29686259
PMCPMC5913237

What OpenQuestion holds

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LicenceCC BY
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.