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Published on: July 9, 2012
Outbreak investigation using high-throughput genome sequencing within a diagnostic microbiology laboratory
Norelle L Sherry1, Jessica L Porter, Torsten Seemann
1Department of Microbiology, Austin Health, Melbourne, Australia.
Next-generation sequencing (NGS) is now feasible for routine diagnostic microbiology, enabling rapid, high-resolution genotyping for bacterial outbreak investigations. This technology offers a powerful tool for identifying antimicrobial resistance and tracking pathogen evolution.
Area of Science:
- Microbiology
- Genomics
- Infectious Disease Epidemiology
Background:
- Next-generation sequencing (NGS) is increasingly accessible for diagnostic microbiology labs.
- Feasibility and data analysis for NGS in non-specialist settings remain a concern.
- Outbreak investigations require high-resolution genotyping methods.
Purpose of the Study:
- To evaluate the applicability of NGS for investigating a multidrug-resistant Escherichia coli outbreak.
- To assess the feasibility, cost, and turnaround time of NGS in a routine diagnostic setting.
- To determine the genomic characteristics and evolutionary context of the outbreak strains.
Main Methods:
- Ion Torrent sequencing was used to analyze four suspected outbreak strains and one comparator strain of Escherichia coli.
- Genome-wide single nucleotide polymorphism (SNP) analysis was performed.
- Multilocus sequence typing (MLST) and identification of antimicrobial resistance genes were conducted.
Main Results:
- The four suspected outbreak strains were genetically identical and distinct from the comparator strain.
- The outbreak strains belonged to multilocus sequence type 131 and harbored the bla(CTX-M-15) gene, conferring extended-spectrum beta-lactamase resistance.
- Sequencing data revealed clustering with neonatal meningitis and uropathogenic E. coli isolates in public databases.
- Turnaround time was 5 days, with reagent costs around $300 per strain.
Conclusions:
- NGS provides high-resolution genotyping for bacterial outbreak investigations, surpassing traditional methods.
- Barriers to NGS adoption include cost, bioinformatics platform usability, and expertise.
- NGS is poised for widespread implementation in diagnostic microbiology for epidemiology and resistance characterization.
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