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Evaluation of WGS performance for bacterial pathogen characterization with the Illumina technology optimized for time-critical situations
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 finishe...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Microbiology Society
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8743554/ https://www.ncbi.nlm.nih.gov/pubmed/34739368 http://dx.doi.org/10.1099/mgen.0.000699 |
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author | Bogaerts, Bert Winand, Raf Van Braekel, Julien Hoffman, Stefan Roosens, Nancy H. C. De Keersmaecker, Sigrid C. J. Marchal, Kathleen Vanneste, Kevin |
author_facet | Bogaerts, Bert Winand, Raf Van Braekel, Julien Hoffman, Stefan Roosens, Nancy H. C. De Keersmaecker, Sigrid C. J. Marchal, Kathleen Vanneste, Kevin |
author_sort | Bogaerts, Bert |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8743554 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Microbiology Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-87435542022-01-10 Evaluation of WGS performance for bacterial pathogen characterization with the Illumina technology optimized for time-critical situations Bogaerts, Bert Winand, Raf Van Braekel, Julien Hoffman, Stefan Roosens, Nancy H. C. De Keersmaecker, Sigrid C. J. Marchal, Kathleen Vanneste, Kevin Microb Genom Research Articles 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. Microbiology Society 2021-11-05 /pmc/articles/PMC8743554/ /pubmed/34739368 http://dx.doi.org/10.1099/mgen.0.000699 Text en © 2021 The Authors https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License. |
spellingShingle | Research Articles Bogaerts, Bert Winand, Raf Van Braekel, Julien Hoffman, Stefan Roosens, Nancy H. C. De Keersmaecker, Sigrid C. J. Marchal, Kathleen Vanneste, Kevin Evaluation of WGS performance for bacterial pathogen characterization with the Illumina technology optimized for time-critical situations |
title | Evaluation of WGS performance for bacterial pathogen characterization with the Illumina technology optimized for time-critical situations |
title_full | Evaluation of WGS performance for bacterial pathogen characterization with the Illumina technology optimized for time-critical situations |
title_fullStr | Evaluation of WGS performance for bacterial pathogen characterization with the Illumina technology optimized for time-critical situations |
title_full_unstemmed | Evaluation of WGS performance for bacterial pathogen characterization with the Illumina technology optimized for time-critical situations |
title_short | Evaluation of WGS performance for bacterial pathogen characterization with the Illumina technology optimized for time-critical situations |
title_sort | evaluation of wgs performance for bacterial pathogen characterization with the illumina technology optimized for time-critical situations |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8743554/ https://www.ncbi.nlm.nih.gov/pubmed/34739368 http://dx.doi.org/10.1099/mgen.0.000699 |
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