Rapid Lineage Assignment of Severe Acute Respiratory Syndrome Coronavirus 2 Cases through Automated Library Preparation, Sequencing, and Bioinformatic Analysis.


Journal

The Journal of molecular diagnostics : JMD
ISSN: 1943-7811
Titre abrégé: J Mol Diagn
Pays: United States
ID NLM: 100893612

Informations de publication

Date de publication:
04 2023
Historique:
received: 20 10 2022
revised: 06 01 2023
accepted: 12 01 2023
pubmed: 9 2 2023
medline: 22 3 2023
entrez: 8 2 2023
Statut: ppublish

Résumé

The coronavirus disease 2019 (COVID-19) pandemic has provided a stage to illustrate that there is considerable value in obtaining rapid, whole-genome-based information about pathogens. This article describes the utility of a commercially available, automated severe acute respiratory syndrome associated coronavirus 2 (SARS-CoV-2) library preparation, genome sequencing, and a bioinformatics analysis pipeline to provide rapid, near-real-time SARS-CoV-2 variant description. This study evaluated the turnaround time, accuracy, and other quality-related parameters obtained from commercially available automated sequencing instrumentation, from analysis of continuous clinical samples obtained from January 1, 2021, to October 6, 2021. This analysis included a base-by-base assessment of sequencing accuracy at every position in the SARS-CoV-2 chromosome using two commercially available methods. Mean turnaround time, from the receipt of a specimen for SARS-CoV-2 testing to the availability of the results, with lineage assignment, was <3 days. Accuracy of sequencing by one method was 100%, although certain sites on the genome were found repeatedly to have been sequenced with varying degrees of read error rate.

Identifiants

pubmed: 36754279
pii: S1525-1578(23)00021-1
doi: 10.1016/j.jmoldx.2023.01.005
pmc: PMC9902282
pii:
doi:

Types de publication

Case Reports Journal Article Research Support, U.S. Gov't, P.H.S. Research Support, N.I.H., Extramural Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

191-196

Informations de copyright

Copyright © 2023 Association for Molecular Pathology and American Society for Investigative Pathology. Published by Elsevier Inc. All rights reserved.

Références

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pubmed: 33575591
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Auteurs

Andrew J Gorzalski (AJ)

Nevada State Public Health Laboratory, Reno, Nevada.

Heather Kerwin (H)

Washoe County Health District, Reno, Nevada.

Subhash Verma (S)

Department of Microbiology and Immunology, University of Nevada-Reno, School of Medicine, Reno, Nevada.

David C Hess (DC)

Nevada State Public Health Laboratory, Reno, Nevada; Department of Pathology and Laboratory Medicine, University of Nevada-Reno, School of Medicine, Reno, Nevada.

Joel Sevinsky (J)

Theiagen Genomics, Highlands Ranch, Colorado.

Kevin Libuit (K)

Theiagen Genomics, Highlands Ranch, Colorado.

Irina Vlasova-St Louis (I)

Nevada State Public Health Laboratory, Reno, Nevada.

Danielle Siao (D)

Nevada State Public Health Laboratory, Reno, Nevada.

Lauren Siao (L)

Nevada State Public Health Laboratory, Reno, Nevada.

Diego Buñuel (D)

Nevada State Public Health Laboratory, Reno, Nevada.

Stephanie Van Hooser (S)

Nevada State Public Health Laboratory, Reno, Nevada.

Mark W Pandori (MW)

Nevada State Public Health Laboratory, Reno, Nevada; Department of Microbiology and Immunology, University of Nevada-Reno, School of Medicine, Reno, Nevada; Department of Pathology and Laboratory Medicine, University of Nevada-Reno, School of Medicine, Reno, Nevada. Electronic address: mpandori@unr.edu.

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Classifications MeSH