Literature DB >> 26297907

Whole genome sequence typing and microarray profiling of nasal and blood stream methicillin-resistant Staphylococcus aureus isolates: Clues to phylogeny and invasiveness.

Mohamed Hamed1, Daniel Patric Nitsche-Schmitz2, Ulla Ruffing3, Matthias Steglich4, Janina Dordel5, Duy Nguyen1, Jan-Hendrik Brink3, Gursharan Singh Chhatwal2, Mathias Herrmann3, Ulrich Nübel6, Volkhard Helms1, Lutz von Müller7.   

Abstract

Hospital-associated methicillin-resistant Staphylococcus aureus (MRSA) infections are frequently caused by predominant clusters of closely related isolates that cannot be discriminated by conventional diagnostic typing methods. Whole genome sequencing (WGS) and DNA microarray (MA) now allow for better discrimination within a prevalent clonal complex (CC). This single center exploratory study aims to distinguish invasive (blood stream infection) and non-invasive (nasal colonization) MRSA isolates of the same CC5 into phylogenetic- and virulence-associated genotypic subgroups by WGS and MA. A cohort of twelve blood stream and fifteen nasal MRSA isolates of CC5 (spa-types t003 and t504) was selected. Isolates were propagated at the same period of time from unrelated patients treated at the University of Saarland Medical Center, Germany. Rooted phylotyping based on WGS with core-genome single nucleotide polymorphism (SNP) analysis revealed two local clusters of closely related CC5 subgroups (t504 and Clade1 t003) which were separated from other local t003 isolates and from unrelated CC5 MRSA reference isolates of German origin. Phylogenetic subtyping was not associated with invasiveness when comparing blood stream and nasal isolates. Clustering based on MA profiles was not concordant with WGS phylotyping, but MA profiles may identify subgroups of isolates with nasal and blood stream origin. Among the new putative virulence associated genes identified by WGS, the strongest association with blood stream infections was shown for ebhB mutants. Analysis of the core-genome together with the accessory genome enables subtyping of closely related MRSA isolates according to phylogeny and presumably also to the potential virulence capacity of isolates.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  DNA microarray; Invasiveness; MRSA; Phylogeny; Staphylococcus aureus; Whole genome sequencing

Mesh:

Year:  2015        PMID: 26297907     DOI: 10.1016/j.meegid.2015.08.020

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


  5 in total

1.  Detecting Staphylococcus aureus Virulence and Resistance Genes: a Comparison of Whole-Genome Sequencing and DNA Microarray Technology.

Authors:  Lena Strauß; Ulla Ruffing; Salim Abdulla; Abraham Alabi; Ruslan Akulenko; Marcelino Garrine; Anja Germann; Martin Peter Grobusch; Volkhard Helms; Mathias Herrmann; Theckla Kazimoto; Winfried Kern; Inácio Mandomando; Georg Peters; Frieder Schaumburg; Lutz von Müller; Alexander Mellmann
Journal:  J Clin Microbiol       Date:  2016-01-27       Impact factor: 5.948

2.  BEclear: Batch Effect Detection and Adjustment in DNA Methylation Data.

Authors:  Ruslan Akulenko; Markus Merl; Volkhard Helms
Journal:  PLoS One       Date:  2016-08-25       Impact factor: 3.240

3.  MutaNET: a tool for automated analysis of genomic mutations in gene regulatory networks.

Authors:  Markus Hollander; Mohamed Hamed; Volkhard Helms; Kerstin Neininger
Journal:  Bioinformatics       Date:  2018-03-01       Impact factor: 6.937

4.  Methicillin-Resistant Staphylococcus aureus in Saarland, Germany: The Long-Term Care Facility Study.

Authors:  Dorothea Nillius; Lutz von Müller; Stefan Wagenpfeil; Renate Klein; Mathias Herrmann
Journal:  PLoS One       Date:  2016-04-13       Impact factor: 3.240

5.  Surveillance-embedded genomic outbreak resolution of methicillin-susceptible Staphylococcus aureus in a neonatal intensive care unit.

Authors:  A J H Cremers; J P M Coolen; C P Bleeker-Rovers; A D J van der Geest-Blankert; D Haverkate; H Hendriks; S S V Henriet; M A Huynen; E Kolwijck; D Liem; W J G Melchers; J W Rossen; J Zoll; A van Heijst; J Hopman; H F L Wertheim
Journal:  Sci Rep       Date:  2020-02-14       Impact factor: 4.379

  5 in total

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