Evidence map›Paper›PMID 27698071›Full record

ArticleRNA (New York, N.Y.)2016

Nonmutational compensation of the fitness cost of antibiotic resistance in mycobacteria by overexpression of tlyA rRNA methylase.

Pietro Freihofer, Rashid Akbergenov, Youjin Teo, Reda Juskeviciene, Dan I Andersson, Erik C Böttger

Open access · bronzeAbstract read
In one paragraph

Article in RNA (New York, N.Y.), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
3.8field-weighted citation impact, top 7% 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

29 citing papers in PubMed, 48 citations in OpenAlex.

  1. Article
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  8. 50S subunit recognition and modification by theProceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  9. Review
  10. Rapid Identification of Drug-Resistant Tuberculosis Genes Using Direct PCR Amplification and Oxford Nanopore Technology Sequencing.The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2022
    Article
  11. The evolving biology ofFrontiers in cellular and infection microbiology · 2022
    Review
  12. Article
  13. Article
  14. Article
  15. Antibiotic resistance: Time of synthesis in a post-genomic age.Computational and structural biotechnology journal · 2021
    Review
  16. Article
  17. Article
  18. Article
  19. Review
  20. Whole-Genome Sequencing for Drug Resistance Profile Prediction inAntimicrobial agents and chemotherapy · 2019
    Article
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 at 2 institutions in 2 countries.

Pietro FreihoferInstitute of Medical Microbiology, University of Zurich, CH-8006 Zurich, Switzerland.
Rashid AkbergenovInstitute of Medical Microbiology, University of Zurich, CH-8006 Zurich, Switzerland.
Youjin TeoInstitute of Medical Microbiology, University of Zurich, CH-8006 Zurich, Switzerland.
Reda JuskevicieneInstitute of Medical Microbiology, University of Zurich, CH-8006 Zurich, Switzerland.
Dan I AnderssonDepartment of Medical Biochemistry and Microbiology, Uppsala University, Box 582, SE-751 23 Uppsala, Sweden.
Erik C BöttgerInstitute of Medical Microbiology, University of Zurich, CH-8006 Zurich, Switzerland.
University of Zurich · CHUppsala University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Several studies over the last few decades have shown that antibiotic resistance mechanisms frequently confer a fitness cost and that these costs can be genetically ameliorated by intra- or extragenic second-site mutations, often without loss of resistance. Another, much less studied potential mechanism by which the fitness cost of antibiotic resistance could be reduced is via a regulatory response where the deleterious effect of the resistance mechanism is lowered by a physiological alteration that buffers the mutational effect. In mycobacteria, resistance to the clinically used tuberactinomycin antibiotic capreomycin involves loss-of-function mutations in rRNA methylase TlyA or point mutations in 16S rRNA (in particular the A1408G mutation). Both of these alterations result in resistance by reducing drug binding to the ribosome. Here we show that alterations of tlyA gene expression affect both antibiotic drug susceptibility and fitness cost of drug resistance. In particular, we demonstrate that the common resistance mutation A1408G is accompanied by a physiological change that involves increased expression of the tlyA gene. This gene encodes an enzyme that methylates neighboring 16S rRNA position C1409, and as a result of increased TlyA expression the fitness cost of the A1408G mutation is significantly reduced. Our findings suggest that in mycobacteria, a nonmutational mechanism (i.e., gene regulatory) can restore fitness to genetically resistant bacteria. Our results also point to a new and clinically relevant treatment strategy to combat evolution of resistance in multidrug-resistant tuberculosis. Thus, by utilizing antagonistic antibiotic interactions, resistance evolution could be reduced.

Indexed as

MutationBacterial ProteinsCell-Free SystemDrug Resistance, BacterialMycobacteriumProtein BiosynthesisRNA, Ribosomal, 16SRNA, Ribosomal, 23SBacterial ProteinsRNA, Ribosomal, 16SRNA, Ribosomal, 23STlyA protein, Mycobacterium tuberculosisantibiotic resistancecompensationfitnessMycobacterium tuberculosisrRNA methylationtlyA

Identifiers

PMID27698071
PMCPMC5113204
OpenAlexW2528815789

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.