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Methodology for Whole-Genome Sequencing of Methicillin-Resistant Staphylococcus aureus Isolates in a Routine Hospital Microbiology Laboratory.
Raven, Kathy E; Blane, Beth; Leek, Danielle; Churcher, Carol; Kokko-Gonzales, Paula; Pugazhendhi, Dhamayanthi; Fraser, Louise; Betley, Jason; Parkhill, Julian; Peacock, Sharon J.
Afiliação
  • Raven KE; Department of Medicine, University of Cambridge, Cambridge, United Kingdom ker37@medschl.cam.ac.uk.
  • Blane B; Department of Medicine, University of Cambridge, Cambridge, United Kingdom.
  • Leek D; Department of Medicine, University of Cambridge, Cambridge, United Kingdom.
  • Churcher C; Department of Medicine, University of Cambridge, Cambridge, United Kingdom.
  • Kokko-Gonzales P; Illumina, Inc., Cambridge, United Kingdom.
  • Pugazhendhi D; Illumina, Inc., Cambridge, United Kingdom.
  • Fraser L; Illumina, Inc., Cambridge, United Kingdom.
  • Betley J; Illumina, Inc., Cambridge, United Kingdom.
  • Parkhill J; Wellcome Genome Campus, Wellcome Sanger Institute, Cambridge, United Kingdom.
  • Peacock SJ; Department of Medicine, University of Cambridge, Cambridge, United Kingdom.
J Clin Microbiol ; 57(6)2019 06.
Article em En | MEDLINE | ID: mdl-30894439
There is growing evidence for the value of bacterial whole-genome sequencing in hospital outbreak investigations. Our aim was to develop methods that support efficient and accurate low-throughput clinical sequencing of methicillin-resistant Staphylococcus aureus (MRSA) isolates. Using a test panel of 25 MRSA isolates previously associated with outbreak investigations, we devised modifications to library preparation that reduced the processing time by 1 hour. We determined the maximum number of isolates that could be sequenced per run using an Illumina MiniSeq platform and a 13-hour (overnight) run time, which equated to 21 MRSA isolates and 3 controls (no template, positive, and negative). Repeatability and reproducibility assays based on this sequencing methodology demonstrated 100% accuracy in assigning species and sequence type (ST) and in detecting mecA Established genetic relatedness between isolates was recapitulated. Quality control (QC) metrics were evaluated over nine sequencing runs. Of the test panel MRSA genomes, 168/173 (97%) passed QC metrics based on the correct species assigned, detection of mecA and ST, and depth/coverage metrics. An evaluation of contamination in these 9 runs showed that positive and negative controls and test MRSA sequence files contained <0.14% and <0.48% of fragments that matched another species, respectively. Deliberate contamination experiments confirmed that this was insufficient to impact data interpretation. These methods support reliable and reproducible clinical MRSA sequencing with a turnaround time (from DNA extraction to availability of data files) of 24 hours.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Infecções Estafilocócicas / Genoma Bacteriano / Staphylococcus aureus Resistente à Meticilina / Sequenciamento Completo do Genoma Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Infecções Estafilocócicas / Genoma Bacteriano / Staphylococcus aureus Resistente à Meticilina / Sequenciamento Completo do Genoma Idioma: En Ano de publicação: 2019 Tipo de documento: Article