4.7 Article

Comparative Analysis of Short- and Long-Read Sequencing of Vancomycin-Resistant Enterococci for Application to Molecular Epidemiology

Journal

Publisher

FRONTIERS MEDIA SA
DOI: 10.3389/fcimb.2022.857801

Keywords

antimicrobial resistance; long-read next-generation sequencing; molecular epidemiology; short-read next-generation sequencing; strain typing; vancomycin-resistant enterococci

Funding

  1. Korea Disease Control and Prevention Agency [2019-ER5402-01]
  2. Korea Health Promotion Institute [2019-ER5402-01] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

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In this study, we performed whole-genome sequencing of vancomycin-resistant enterococci (VRE) using both short-read and long-read next-generation sequencing. We established standardized workflows for strain typing and antimicrobial resistance profiling based on WGS. The results showed that short-read sequencing exhibited higher sensitivity for detecting nucleotide substitutions, while long-read sequencing had better concordance between genotypic and phenotypic resistance.
Vancomycin-resistant enterococci (VRE) are nosocomial pathogens with genetic plasticity and widespread antimicrobial resistance (AMR). To prevent the spread of VRE in the hospital setting, molecular epidemiological approaches such as pulsed-field gel electrophoresis and multilocus sequence typing have been implemented for pathogen outbreak surveillance. However, due to the insufficient discriminatory power of these methods, whole-genome sequencing (WGS), which enables high-resolution analysis of entire genomic sequences, is being used increasingly. Herein, we performed WGS of VRE using both short-read next-generation sequencing (SR-NGS) and long-read next-generation sequencing (LR-NGS). Since standardized workflows and pipelines for WGS-based bacterial epidemiology are lacking, we established three-step pipelines for SR- and LR-NGS, as a standardized WGS-based approach for strain typing and AMR profiling. For strain typing, we analyzed single-nucleotide polymorphisms (SNPs) of VRE isolates and constructed SNP-based maximum-likelihood phylogenies. The phylogenetic trees constructed using short and long reads showed good correspondence. Still, SR-NGS exhibited higher sensitivity for detecting nucleotide substitutions of bacterial sequences. During AMR profiling, we examined AMR genes and resistance-conferring mutations. We also assessed the concordance between genotypic and phenotypic resistance, which was generally better for LR-NGS than SR-NGS. Further validation of our pipelines based on outbreak cases is necessary to ensure the overall performance of pipelines.

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