The Next Frontier in Tuberculosis Investigation: Automated Whole Genome Sequencing for Mycobacterium tuberculosis Analysis

Justin H.J. Ng; Lina Castro; Andrew Gorzalski; Adam Allred; Danielle Siao; Edwina Wong; Andrew Lin; Shadi Shokralla; Mark Pandori; Godfred Masinde; Ramin Khaksar

doi:10.20944/preprints202406.1122.v1

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preprints.org > biology and life sciences > biology and biotechnology > doi: 10.20944/preprints202406.1122.v1

Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

The Next Frontier in Tuberculosis Investigation: Automated Whole Genome Sequencing for Mycobacterium tuberculosis Analysis

Version 1 : Received: 14 June 2024 / Approved: 15 June 2024 / Online: 17 June 2024 (08:34:42 CEST)

How to cite: Ng, J. H.; Castro, L.; Gorzalski, A.; Allred, A.; Siao, D.; Wong, E.; Lin, A.; Shokralla, S.; Pandori, M.; Masinde, G.; Khaksar, R. The Next Frontier in Tuberculosis Investigation: Automated Whole Genome Sequencing for Mycobacterium tuberculosis Analysis. Preprints 2024, 2024061122. https://doi.org/10.20944/preprints202406.1122.v1 Ng, J. H.; Castro, L.; Gorzalski, A.; Allred, A.; Siao, D.; Wong, E.; Lin, A.; Shokralla, S.; Pandori, M.; Masinde, G.; Khaksar, R. The Next Frontier in Tuberculosis Investigation: Automated Whole Genome Sequencing for Mycobacterium tuberculosis Analysis. Preprints 2024, 2024061122. https://doi.org/10.20944/preprints202406.1122.v1

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MDPI and ACS Style

Ng, J. H.; Castro, L.; Gorzalski, A.; Allred, A.; Siao, D.; Wong, E.; Lin, A.; Shokralla, S.; Pandori, M.; Masinde, G.; Khaksar, R. The Next Frontier in Tuberculosis Investigation: Automated Whole Genome Sequencing for Mycobacterium tuberculosis Analysis. Preprints 2024, 2024061122. https://doi.org/10.20944/preprints202406.1122.v1

APA Style

Ng, J. H., Castro, L., Gorzalski, A., Allred, A., Siao, D., Wong, E., Lin, A., Shokralla, S., Pandori, M., Masinde, G., & Khaksar, R. (2024). The Next Frontier in Tuberculosis Investigation: Automated Whole Genome Sequencing for Mycobacterium tuberculosis Analysis. Preprints. https://doi.org/10.20944/preprints202406.1122.v1

Chicago/Turabian Style

Ng, J. H., Godfred Masinde and Ramin Khaksar. 2024 "The Next Frontier in Tuberculosis Investigation: Automated Whole Genome Sequencing for Mycobacterium tuberculosis Analysis" Preprints. https://doi.org/10.20944/preprints202406.1122.v1

Abstract

A fully automated bacteria whole genome sequencing (WGS) assay was evaluated to characterize Mycobacterium tuberculosis (MTB) and non-tuberculosis Mycobacterium (NTM) clinical isolates. Results generated were highly reproducible with 100% concordance in species and sub-lineage classification, and 92% concordance between antimicrobial resistance (AMR) genotypic and phenotypic profiles. These findings demonstrate that a fully automated WGS assay, with a short turnaround time of 24.5 hours, provides timely and valuable insights into MTB outbreak investigation while providing reliable genotypic AMR profiling consistent with traditional antimicrobial susceptibility tests (AST). This study establishes a favorable proposition in the adoption of an end-to-end fully automated WGS solutions for decentralized TB diagnostics, thereby aiding in WHO’s vision of tuberculosis eradication.

Keywords

Mycobacterium tuberculosis; Whole Genome Sequencing; Automation; Antimicrobial Resistance; Decentralized Diagnostics

Subject

Biology and Life Sciences, Biology and Biotechnology

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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