Evaluation of WGS performance for bacterial pathogen characterization with the Illumina technology optimized for time-critical situations

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dc.contributor.author Bogaerts, Bert
dc.contributor.author Winand, Raf
dc.contributor.author Van Braekel, Julien
dc.contributor.author Hoffman, Stefan
dc.contributor.author Roosens, Nancy H.C.
dc.contributor.author De Keersmaecker, Sigrid C. J.
dc.contributor.author Marchal, Kathleen
dc.contributor.author Vanneste, Kevin
dc.date.accessioned 2022-09-15T11:45:08Z
dc.date.available 2022-09-15T11:45:08Z
dc.date.issued 2021-11-05
dc.description.abstract Whole genome sequencing (WGS) has become the reference standard for bacterial outbreak investigation and pathogen typing, providing a resolution unattainable with conventional molecular methods. Data generated with Illumina sequencers can however only be analysed after the sequencing run has finished, thereby losing valuable time during emergency situations. We evaluated both the effect of decreasing overall run time, and also a protocol to transfer and convert intermediary files generated by Illumina sequencers enabling real-time data analysis for multiple samples part of the same ongoing sequencing run, as soon as the forward reads have been sequenced. To facilitate implementation for laboratories operating under strict quality systems, extensive validation of several bioinformatics assays (16S rRNA species confirmation, gene detection against virulence factor and antimicrobial resistance databases, SNP-based antimicrobial resistance detection, serotype determination, and core genome multilocus sequence typing) for three bacterial pathogens (Mycobacterium tuberculosis, Neisseria meningitidis, and Shiga-toxin producing Escherichia coli) was performed by evaluating performance in function of the two most critical sequencing parameters, i.e. read length and coverage. For the majority of evaluated bioinformatics assays, actionable results could be obtained between 14 and 22 h of sequencing, decreasing the overall sequencing-to- results time by more than half. This study aids in reducing the turn-around time of WGS analysis by facilitating a faster response in time-critical scenarios and provides recommendations for time-optimized WGS with respect to required read length and coverage to achieve a minimum level of performance for the considered bioinformatics assay(s), which can also be used to maximize the cost-effectiveness of routine surveillance sequencing when response time is not essential. en_US
dc.description.department Genetics en_US
dc.description.librarian am2022 en_US
dc.description.sponsorship The Belgian Federal Public Service of Health, Food Chain Safety and Environment and Sciensano RP-PJ - Belgium. en_US
dc.description.uri https://www.microbiologyresearch.org/content/journal/mgen en_US
dc.identifier.citation Bogaerts, B., Winand, R., Van Braeke, l.J. et al. Evaluation of WGS performance for bacterial pathogen characterization with the Illumina technology optimized for time-critical situations, Microbial Genomics 2021; 7: 000699, DOI: 10.1099/mgen.0.000699. en_US
dc.identifier.issn 2057-5858 (online)
dc.identifier.other 10.1099/mgen.0.000699
dc.identifier.uri https://repository.up.ac.za/handle/2263/87202
dc.language.iso en en_US
dc.publisher Public Library of Science en_US
dc.rights © 2021 The Authors. This is an open-access article distributed under the terms of the Creative Commons Attribution License. en_US
dc.subject Real time en_US
dc.subject Illumina en_US
dc.subject NGS en_US
dc.subject Validation en_US
dc.subject Whole genome sequencing (WGS) en_US
dc.title Evaluation of WGS performance for bacterial pathogen characterization with the Illumina technology optimized for time-critical situations en_US
dc.type Article en_US


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