Literature DB >> 27154328

Increase in IS256 transposition in invasive vancomycin heteroresistant Staphylococcus aureus isolate belonging to ST100 and its derived VISA mutants.

Sabrina Di Gregorio1, Silvina Fernandez1, Beatriz Perazzi2, Natalia Bello3, Angela Famiglietti2, Marta Mollerach4.   

Abstract

In Staphylococcus aureus, transposition of IS256 has been described to play an important role in biofilm formation and antibiotic resistance. This study describes the molecular characterization of two clinical heterogeneous vancomycin-intermediate S. aureus (hVISA) isolates recovered from the same patient (before and after antibiotic treatment) and two VISA derivatives obtained by serial passages in the presence of vancomycin. Our results showed that antibiotic treatment (in vivo and in vitro) could enhance IS256 transposition, being responsible for the eventual loss of agr function. As far as we know this is the first study that reports the increase of IS256 transposition in isogenic strains after antibiotic treatment in a clinical setting.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  IS256 transposition; S. aureus; hVISA/VISA

Mesh:

Substances:

Year:  2016        PMID: 27154328     DOI: 10.1016/j.meegid.2016.05.001

Source DB:  PubMed          Journal:  Infect Genet Evol        ISSN: 1567-1348            Impact factor:   3.342


  4 in total

1.  Different Vancomycin-Intermediate Staphylococcus aureus Phenotypes Selected from the Same ST100-hVISA Parental Strain.

Authors:  Sabrina Di Gregorio; Silvina Fernandez; Arabela Cuirolo; Olivier Verlaine; Ana Amoroso; Dominique Mengin-Lecreulx; Angela Famiglietti; Bernard Joris; Marta Mollerach
Journal:  Microb Drug Resist       Date:  2016-12-19       Impact factor: 3.431

2.  Invasive Methicillin-Resistant Staphylococcus aureus USA500 Strains from the U.S. Emerging Infections Program Constitute Three Geographically Distinct Lineages.

Authors:  M B Frisch; S Castillo-Ramírez; R A Petit; M M Farley; S M Ray; V S Albrecht; B M Limbago; J Hernandez; I See; S W Satola; T D Read
Journal:  mSphere       Date:  2018-05-02       Impact factor: 4.389

Review 3.  Genome-Based Prediction of Bacterial Antibiotic Resistance.

Authors:  Michelle Su; Sarah W Satola; Timothy D Read
Journal:  J Clin Microbiol       Date:  2019-02-27       Impact factor: 5.948

4.  Machine Learning Prediction of Resistance to Subinhibitory Antimicrobial Concentrations from Escherichia coli Genomes.

Authors:  Sam Benkwitz-Bedford; Martin Palm; Talip Yasir Demirtas; Ville Mustonen; Anne Farewell; Jonas Warringer; Leopold Parts; Danesh Moradigaravand
Journal:  mSystems       Date:  2021-08-24       Impact factor: 6.496

  4 in total

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