spa Typing of Methicillin-Resistant Staphylococcus aureus Based on Whole-Genome Sequencing: the Impact of the

Sarah Mollerup1, Peder Worning1, Andreas Petersen2

  • 1Department of Clinical Microbiology, Copenhagen University Hospital - Amager and Hvidovre, Copenhagen, Denmark.

Microbiology Spectrum
|November 9, 2022
PubMed

Insights

Whole-genome sequencing (WGS) for methicillin-resistant Staphylococcus aureus (MRSA) spa typing is accurate when using optimal assembly programs. SKESA and SPAdes demonstrated high accuracy in determining spa types compared to traditional Sanger sequencing.

Area of Science:

  • Microbiology and Infectious Diseases
  • Genomic Epidemiology
  • Bioinformatics and Computational Biology

Background:

  • Methicillin-resistant Staphylococcus aureus (MRSA) spa typing is crucial for tracking transmission and controlling outbreaks.
  • Traditional Sanger sequencing for spa typing is being increasingly supplemented or replaced by whole-genome sequencing (WGS) in clinical laboratories.
  • WGS-based spa typing relies on de novo assembly of sequencing reads, making the choice of assembly program critical for accurate results.

Purpose of the Study:

  • To evaluate the accuracy of different de novo assembly programs (SPAdes and SKESA) for WGS-based spa typing of MRSA.
  • To compare the performance of WGS-based spa typing with traditional Sanger sequencing, using the latter as the gold standard.
  • To identify potential impacts of assembly program choice on the accuracy of spa type determination.

Main Methods:

  • Whole-genome sequencing (WGS) was performed on 1,754 MRSA isolates.
  • De novo assembly of WGS data was conducted using SPAdes (with two parameter sets) and SKESA.
  • Spa types were assigned from assembled sequences and compared against results from Sanger sequencing.

Main Results:

  • SKESA achieved 98.6% accuracy in assembling the correct spa type, while SPAdes achieved 97.6% and 84.8% with different parameters.
  • Misassembled spa types were typically shorter than the correct type, often involving repetitive regions.
  • WGS-based spa typing demonstrates high accuracy when utilizing appropriate assembly software.

Conclusions:

  • The choice of de novo assembly program significantly impacts the accuracy of WGS-based MRSA spa typing.
  • SKESA and optimized SPAdes parameters offer highly accurate spa type determination, comparable or superior to Sanger sequencing.
  • Accurate WGS-based spa typing is essential for reliable data exchange and epidemiological surveillance in clinical microbiology.

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