Literature DB >> 33424794

NGS-Based S. aureus Typing and Outbreak Analysis in Clinical Microbiology Laboratories: Lessons Learned From a Swiss-Wide Proficiency Test.

David Dylus1,2,3, Trestan Pillonel4, Onya Opota4, Daniel Wüthrich5,6, Helena M B Seth-Smith5,6, Adrian Egli5,6, Stefano Leo7, Vladimir Lazarevic7, Jacques Schrenzel7, Sacha Laurent4, Claire Bertelli4, Dominique S Blanc8, Stefan Neuenschwander9, Alban Ramette9, Laurent Falquet3,10, Frank Imkamp11, Peter M Keller11, Andre Kahles3,12, Simone Oberhaensli3,13, Valérie Barbié3, Christophe Dessimoz1,2,3,14,15, Gilbert Greub4, Aitana Lebrand3.   

Abstract

Whole genome sequencing (WGS) enables high resolution typing of bacteria up to the single nucleotide polymorphism (SNP) level. WGS is used in clinical microbiology laboratories for infection control, molecular surveillance and outbreak analyses. Given the large palette of WGS reagents and bioinformatics tools, the Swiss clinical bacteriology community decided to conduct a ring trial (RT) to foster harmonization of NGS-based bacterial typing. The RT aimed at assessing methicillin-susceptible Staphylococcus aureus strain relatedness from WGS and epidemiological data. The RT was designed to disentangle the variability arising from differences in sample preparation, SNP calling and phylogenetic methods. Nine laboratories participated. The resulting phylogenetic tree and cluster identification were highly reproducible across the laboratories. Cluster interpretation was, however, more laboratory dependent, suggesting that an increased sharing of expertise across laboratories would contribute to further harmonization of practices. More detailed bioinformatic analyses unveiled that while similar clusters were found across laboratories, these were actually based on different sets of SNPs, differentially retained after sample preparation and SNP calling procedures. Despite this, the observed number of SNP differences between pairs of strains, an important criterion to determine strain relatedness given epidemiological information, was similar across pipelines for closely related strains when restricting SNP calls to a common core genome defined by S. aureus cgMLST schema. The lessons learned from this pilot study will serve the implementation of larger-scale RT, as a mean to have regular external quality assessments for laboratories performing WGS analyses in a clinical setting.
Copyright © 2020 Dylus, Pillonel, Opota, Wüthrich, Seth-Smith, Egli, Leo, Lazarevic, Schrenzel, Laurent, Bertelli, Blanc, Neuenschwander, Ramette, Falquet, Imkamp, Keller, Kahles, Oberhaensli, Barbié, Dessimoz, Greub and Lebrand.

Entities:  

Keywords:  EQA; NGS; SNP; bacterial typing; external quality assessment; next generation sequencing; quality control; ring trial

Year:  2020        PMID: 33424794      PMCID: PMC7793906          DOI: 10.3389/fmicb.2020.591093

Source DB:  PubMed          Journal:  Front Microbiol        ISSN: 1664-302X            Impact factor:   5.640


  7 in total

1.  The Notable Achievements and the Prospects of Bacterial Pathogen Genomics.

Authors:  Grigorios D Amoutzias; Marios Nikolaidis; Andrew Hesketh
Journal:  Microorganisms       Date:  2022-05-17

Review 2.  Techniques in bacterial strain typing: past, present, and future.

Authors:  Shelby R Simar; Blake M Hanson; Cesar A Arias
Journal:  Curr Opin Infect Dis       Date:  2021-08-01       Impact factor: 4.968

3.  External Quality Assessment of SARS-CoV-2 Sequencing: an ESGMD-SSM Pilot Trial across 15 European Laboratories.

Authors:  Fanny Wegner; Tim Roloff; Gilbert Greub; Adrian Egli; Michael Huber; Samuel Cordey; Alban Ramette; Yannick Gerth; Claire Bertelli; Madlen Stange; Helena M B Seth-Smith; Alfredo Mari; Karoline Leuzinger; Lorenzo Cerutti; Keith Harshman; Ioannis Xenarios; Philippe Le Mercier; Pascal Bittel; Stefan Neuenschwander; Onya Opota; Jonas Fuchs; Marcus Panning; Charlotte Michel; Marie Hallin; Thomas Demuyser; Ricardo De Mendonca; Paul Savelkoul; Jozef Dingemans; Brian van der Veer; Stefan A Boers; Eric C J Claas; Jordy P M Coolen; Willem J G Melchers; Marianne Gunell; Teemu Kallonen; Tytti Vuorinen; Antti J Hakanen; Eva Bernhoff; Marit Andrea Klokkhammer Hetland; Hadar Golan Berman; Sheera Adar; Jacob Moran-Gilad; Dana G Wolf; Stephen L Leib; Oliver Nolte; Laurent Kaiser; Stefan Schmutz; Verena Kufner; Maryam Zaheri; Alexandra Trkola; Hege Vangstein Aamot; Hans H Hirsch
Journal:  J Clin Microbiol       Date:  2021-11-10       Impact factor: 5.948

Review 4.  Exploiting genomics to mitigate the public health impact of antimicrobial resistance.

Authors:  Claire Waddington; Megan E Carey; Christine J Boinett; Ellen Higginson; Balaji Veeraraghavan; Stephen Baker
Journal:  Genome Med       Date:  2022-02-16       Impact factor: 11.117

Review 5.  Combination of Whole Genome Sequencing and Metagenomics for Microbiological Diagnostics.

Authors:  Srinithi Purushothaman; Marco Meola; Adrian Egli
Journal:  Int J Mol Sci       Date:  2022-08-30       Impact factor: 6.208

6.  Transition From PCR-Ribotyping to Whole Genome Sequencing Based Typing of Clostridioides difficile.

Authors:  Helena M B Seth-Smith; Michael Biggel; Tim Roloff; Vladimira Hinic; Thomas Bodmer; Martin Risch; Carlo Casanova; Andreas Widmer; Rami Sommerstein; Jonas Marschall; Sarah Tschudin-Sutter; Adrian Egli
Journal:  Front Cell Infect Microbiol       Date:  2021-06-01       Impact factor: 5.293

7.  Methicillin-resistant Staphylococcus aureus in China: a multicentre longitudinal study and whole-genome sequencing.

Authors:  Bingjie Wang; Yanlei Xu; Huilin Zhao; Xinyi Wang; Lulin Rao; Yinjuan Guo; Xie Yi; Longhua Hu; Shuying Chen; Lizhong Han; Junying Zhou; Guoxiu Xiang; Long Hu; Liang Chen; Fangyou Yu
Journal:  Emerg Microbes Infect       Date:  2022-12       Impact factor: 7.163

  7 in total

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