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

dc.contributor.authorBogaerts, Bert
dc.contributor.authorWinand, Raf
dc.contributor.authorVan Braekel, Julien
dc.contributor.authorHoffman, Stefan
dc.contributor.authorRoosens, Nancy H.C.
dc.contributor.authorDe Keersmaecker, Sigrid C. J.
dc.contributor.authorMarchal, Kathleen
dc.contributor.authorVanneste, Kevin
dc.date.accessioned2022-09-15T11:45:08Z
dc.date.available2022-09-15T11:45:08Z
dc.date.issued2021-11-05
dc.description.abstractWhole 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.departmentGeneticsen_US
dc.description.librarianam2022en_US
dc.description.sponsorshipThe Belgian Federal Public Service of Health, Food Chain Safety and Environment and Sciensano RP-PJ - Belgium.en_US
dc.description.urihttps://www.microbiologyresearch.org/content/journal/mgenen_US
dc.identifier.citationBogaerts, 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.issn2057-5858 (online)
dc.identifier.other10.1099/mgen.0.000699
dc.identifier.urihttps://repository.up.ac.za/handle/2263/87202
dc.language.isoenen_US
dc.publisherPublic Library of Scienceen_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.subjectReal timeen_US
dc.subjectIlluminaen_US
dc.subjectNGSen_US
dc.subjectValidationen_US
dc.subjectWhole genome sequencing (WGS)en_US
dc.titleEvaluation of WGS performance for bacterial pathogen characterization with the Illumina technology optimized for time-critical situationsen_US
dc.typeArticleen_US

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