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Whole-genome Sequencing for Surveillance of Invasive Pneumococcal Diseases in Ontario, Canada: Rapid Prediction of Genotype, Antibiotic Resistance and Characterization of Emerging Serotype 22F. | LitMetric

Whole-genome Sequencing for Surveillance of Invasive Pneumococcal Diseases in Ontario, Canada: Rapid Prediction of Genotype, Antibiotic Resistance and Characterization of Emerging Serotype 22F.

Front Microbiol

Public Health Ontario LaboratoryToronto, ON, Canada; Department of Laboratory Medicine and Pathobiology, University of TorontoToronto, ON, Canada; Mount Sinai Hospital and University Health NetworkToronto, ON, Canada; The Hospital for Sick ChildrenToronto, ON, Canada.

Published: December 2016

AI Article Synopsis

  • Molecular typing through whole genome sequencing (WGS) was used to identify genetic relationships and predict antibiotic resistance in 240 invasive pneumococcal isolates from older adults in Ontario between 2009 and 2013.
  • The study found that 98.3% of isolates had their sequence type accurately determined, and WGS showed high sensitivity (95%) and specificity (100%) for predicting antibiotic resistance compared to standard testing.
  • Notably, the emerging non-vaccine serotype 22F was divided into two clades with distinct genetic features, and the findings suggest the need for enhanced molecular surveillance of pneumococcal strains in light of evolving antibiotic resistance.

Article Abstract

Molecular typing is essential for inferring genetic relatedness between bacterial pathogens. In this study, we applied whole genome sequencing (WGS) for rapid prediction of sequence type and antibiotic resistance for invasive pneumococcal isolates. 240 isolates from adults (≥50 years old) in Ontario, Canada during 2009 to 2013 were subjected to WGS. Sequence type, antibiotic susceptibility and resistance were predicted directly from short reads. Emerging non-vaccine serotype 22F was further characterized by WGS. Sequence type was successfully determined for 98.3% of isolates. The overall sensitivity and specificity for antibiotic resistance prediction were 95 and 100% respectively, compared to standard susceptibility testing methods. WGS-based phylogeny divided emerging 22F (ST433) strains into two distinct clades: clade A harboring a 23 kb-prophage and anti-phage PhD/Doc system and clade B with virulence-related proteases. Five isolates in clade A developed macrolide resistance via 5.1 kb mega element recombination (encoding and ), while one isolate in clade B displayed quinolone resistance via a mutation. WGS is valuable for routine surveillance of pneumococcal clinical isolates and facilitates prediction of genotype and antibiotic resistance. The emergence of 22F in Ontario in the post-vaccine era and evidence of evolution and divergence of the 22F population warrants heightened pneumococcal molecular surveillance.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5187366PMC
http://dx.doi.org/10.3389/fmicb.2016.02099DOI Listing

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