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The clinical utility of two high-throughput 16S rRNA gene sequencing workflows for taxonomic assignment of unidentifiable bacterial pathogens in MALDI-TOF MS

Hiu-Yin Lao, Timothy Ting-Leung Ng, Ryan Yik-Lam Wong, Celia Sze-Ting Wong, Chloe Toi-Mei Chan, Denise Sze-Hang Wong, Lam-Kwong Lee, Stephanie Hoi-Ching Jim, Jake Siu-Lun Leung, Hazel Wing-Hei Lo, Ivan Tak-Fai Wong, Miranda Chong-Yee Yau, Jimmy Yiu-Wing Lam, Alan Ka-Lun Wu, View ORCID ProfileGilman Kit-Hang Siu
doi: https://doi.org/10.1101/2021.08.16.456588
Hiu-Yin Lao
aDepartment of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong Special Administrative Region, China
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Timothy Ting-Leung Ng
aDepartment of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong Special Administrative Region, China
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Ryan Yik-Lam Wong
bDepartment of Clinical Pathology, Pamela Youde Nethersole Eastern Hospital, Hong Kong Special Administrative Region, China
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Celia Sze-Ting Wong
bDepartment of Clinical Pathology, Pamela Youde Nethersole Eastern Hospital, Hong Kong Special Administrative Region, China
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Chloe Toi-Mei Chan
aDepartment of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong Special Administrative Region, China
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Denise Sze-Hang Wong
aDepartment of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong Special Administrative Region, China
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Lam-Kwong Lee
aDepartment of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong Special Administrative Region, China
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Stephanie Hoi-Ching Jim
aDepartment of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong Special Administrative Region, China
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Jake Siu-Lun Leung
aDepartment of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong Special Administrative Region, China
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Hazel Wing-Hei Lo
aDepartment of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong Special Administrative Region, China
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Ivan Tak-Fai Wong
aDepartment of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong Special Administrative Region, China
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Miranda Chong-Yee Yau
bDepartment of Clinical Pathology, Pamela Youde Nethersole Eastern Hospital, Hong Kong Special Administrative Region, China
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Jimmy Yiu-Wing Lam
bDepartment of Clinical Pathology, Pamela Youde Nethersole Eastern Hospital, Hong Kong Special Administrative Region, China
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Alan Ka-Lun Wu
bDepartment of Clinical Pathology, Pamela Youde Nethersole Eastern Hospital, Hong Kong Special Administrative Region, China
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Gilman Kit-Hang Siu
aDepartment of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong Special Administrative Region, China
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  • ORCID record for Gilman Kit-Hang Siu
  • For correspondence: gilman.siu@polyu.edu.hk
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ABSTRACT

Bacterial pathogens that cannot be identified using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) are occasionally encountered in clinical laboratories. The 16S rRNA gene is often used for sequence-based analysis to identify these bacterial species. Nevertheless, traditional Sanger sequencing is laborious, time-consuming and low-throughput. Here, we compared two commercially available 16S rRNA gene sequencing tests, which are based on Illumina and Nanopore sequencing technologies, respectively, in their ability to identify the species of 172 clinical isolates that failed to be identified by MALDI-TOF MS. Sequencing data were analyzed by respective built-in analysis programs (MiSeq Reporter Software and Epi2me) and BLAST+ (v2.11.0). Their agreement with Sanger sequencing on species-level identification was determined. Discrepancies were resolved by whole-genome sequencing. The diagnostic accuracy of each workflow was determined using the composite sequencing result as the reference standard. Despite the high base-calling accuracy of Illumina sequencing, we demonstrated that the Nanopore workflow had a comparatively higher taxonomic resolution at the species level. Using built-in analysis algorithms, the concordance of Sanger 16S with the Illumina and Nanopore workflows was 33.14% and 87.79%, respectively. The agreement was 65.70% and 83.14%, respectively, when BLAST+ was used for analysis. Compared with the reference standard, the diagnostic accuracy of optimized Nanopore 16S was 96.36%, which was identical to Sanger 16S and was better than Illumina 16S (71.52%). The turnaround time of the Illumina workflow and the Nanopore workflow was 78h and 8.25h, respectively. The per-sample cost of the Illumina and Nanopore workflows was US$28.5 and US$17.7, respectively.

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Posted August 17, 2021.
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The clinical utility of two high-throughput 16S rRNA gene sequencing workflows for taxonomic assignment of unidentifiable bacterial pathogens in MALDI-TOF MS
Hiu-Yin Lao, Timothy Ting-Leung Ng, Ryan Yik-Lam Wong, Celia Sze-Ting Wong, Chloe Toi-Mei Chan, Denise Sze-Hang Wong, Lam-Kwong Lee, Stephanie Hoi-Ching Jim, Jake Siu-Lun Leung, Hazel Wing-Hei Lo, Ivan Tak-Fai Wong, Miranda Chong-Yee Yau, Jimmy Yiu-Wing Lam, Alan Ka-Lun Wu, Gilman Kit-Hang Siu
bioRxiv 2021.08.16.456588; doi: https://doi.org/10.1101/2021.08.16.456588
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The clinical utility of two high-throughput 16S rRNA gene sequencing workflows for taxonomic assignment of unidentifiable bacterial pathogens in MALDI-TOF MS
Hiu-Yin Lao, Timothy Ting-Leung Ng, Ryan Yik-Lam Wong, Celia Sze-Ting Wong, Chloe Toi-Mei Chan, Denise Sze-Hang Wong, Lam-Kwong Lee, Stephanie Hoi-Ching Jim, Jake Siu-Lun Leung, Hazel Wing-Hei Lo, Ivan Tak-Fai Wong, Miranda Chong-Yee Yau, Jimmy Yiu-Wing Lam, Alan Ka-Lun Wu, Gilman Kit-Hang Siu
bioRxiv 2021.08.16.456588; doi: https://doi.org/10.1101/2021.08.16.456588

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