Evidence map›Paper›PMID 27446047›Full record

ArticleFrontiers in microbiology2016

Dissemination of Novel Antimicrobial Resistance Mechanisms through the Insertion Sequence Mediated Spread of Metabolic Genes.

Leonardo Furi, Richard Haigh, Zaaima J H Al Jabri, Ian Morrissey, Hong-Yu Ou, Ricardo León-Sampedro, Jose L Martinez, Teresa M Coque, Marco R Oggioni

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Genomic epidemiology ofMicrobial genomics · 2023
    Observational
  7. Clonal Spreading of ST42International journal of molecular sciences · 2023
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Staphylococci: Evolving Genomes.Microbiology spectrum · 2019
    Review
  14. Review
  15. Review
  16. Article
  17. Review
  18. Article
  19. 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

9 authors.

Leonardo FuriDepartment of Genetics, University of LeicesterLeicester, UK; Dipartimento di Biotecnologie Mediche, Universita di SienaSiena, Italy.
Richard HaighDepartment of Genetics, University of Leicester Leicester, UK.
Zaaima J H Al JabriDepartment of Genetics, University of Leicester Leicester, UK.
Ian MorrisseyIHMA Europe Sàrl Epalinges, Switzerland.
Hong-Yu OuState Key Laboratory for Microbial Metabolism and School of Life Sciences and Biotechnology, Shanghai Jiaotong University Shanghai, China.
Ricardo León-SampedroDepartamento de Microbiología, Instituto Ramón y Cajal de Investigación Sanitaria, Hospital Universitario Ramón y CajalMadrid, Spain; Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP)Spain.
Jose L MartinezDepartamento de Biotecnología Microbiana, Centro Nacional de Biotecnología, Consejo Superior de Investigaciones CientíficasMadrid, Spain; Unidad de Resistencia a Antibióticos y Virulencia Bacteriana (RYC-Consejo Superior de Investigaciones Científicas)Madrid, Spain.
Teresa M CoqueDepartamento de Microbiología, Instituto Ramón y Cajal de Investigación Sanitaria, Hospital Universitario Ramón y CajalMadrid, Spain; Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP)Spain; Unidad de Resistencia a Antibióticos y Virulencia Bacteriana (RYC-Consejo Superior de Investigaciones Científicas)Madrid, Spain.
Marco R OggioniDepartment of Genetics, University of LeicesterLeicester, UK; Dipartimento di Biotecnologie Mediche, Universita di SienaSiena, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The widely used biocide triclosan selectively targets FabI, the NADH-dependent trans-2-enoyl-acyl carrier protein (ACP) reductase, which is also an important target for the development of narrow spectrum antibiotics. The analysis of triclosan resistant Staphylococcus aureus isolates had previously shown that in about half of the strains, the mechanism of triclosan resistance consists on the heterologous duplication of the triclosan target gene due to the acquisition of an additional fabI allele derived from Staphylococcus haemolyticus (sh-fabI). In the current work, the genomic sequencing of 10 of these strains allowed the characterization of two novel composite transposons TnSha1 and TnSha2 involved in the spread of sh-fabI. TnSha1 harbors one copy of IS1272, whereas TnSha2 is a 11.7 kb plasmid carrying TnSha1 present either as plasmid or in an integrated form generally flanked by two IS1272 elements. The target and mechanism of integration for IS1272 and TnSha1 are novel and include targeting of DNA secondary structures, generation of blunt-end deletions of the stem-loop and absence of target duplication. Database analyses showed widespread occurrence of these two elements in chromosomes and plasmids, with TnSha1 mainly in S. aureus and with TnSha2 mainly in S. haemolyticus and S. epidermidis. The acquisition of resistance by means of an insertion sequence-based mobilization and consequent duplication of drug-target metabolic genes, as observed here for sh-fabI, is highly reminiscent of the situation with the ileS2 gene conferring mupirocin resistance, and the dfrA and dfrG genes conferring trimethoprim resistance both of which are mobilized by IS257. These three examples, which show similar mechanisms and levels of spread of metabolic genes linked to IS elements, highlight the importance of this genetic strategy for recruitment and rapid distribution of novel resistance mechanisms in staphylococci.

Indexed as

antimicrobial drug resistancefabIinsertion sequenceIS1182 familyIS5 familymetabolismresistance risktransposon

Identifiers

PMID27446047
PMCPMC4923244

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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 OpenQuestion graph.