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

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 associa...

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Autores principales: Gorzalski, Andrew J., Kerwin, Heather, Verma, Subhash, Hess, David C., Sevinsky, Joel, Libuit, Kevin, Vlasova-St. Louis, Irina, Siao, Danielle, Siao, Lauren, Buñuel, Diego, Van Hooser, Stephanie, Pandori, Mark W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Investigative Pathology 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9902282/
https://www.ncbi.nlm.nih.gov/pubmed/36754279
http://dx.doi.org/10.1016/j.jmoldx.2023.01.005
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author Gorzalski, Andrew J.
Kerwin, Heather
Verma, Subhash
Hess, David C.
Sevinsky, Joel
Libuit, Kevin
Vlasova-St. Louis, Irina
Siao, Danielle
Siao, Lauren
Buñuel, Diego
Van Hooser, Stephanie
Pandori, Mark W.
author_facet Gorzalski, Andrew J.
Kerwin, Heather
Verma, Subhash
Hess, David C.
Sevinsky, Joel
Libuit, Kevin
Vlasova-St. Louis, Irina
Siao, Danielle
Siao, Lauren
Buñuel, Diego
Van Hooser, Stephanie
Pandori, Mark W.
author_sort Gorzalski, Andrew J.
collection PubMed
description 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.
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spelling pubmed-99022822023-02-07 Rapid Lineage Assignment of Severe Acute Respiratory Syndrome Coronavirus 2 Cases through Automated Library Preparation, Sequencing, and Bioinformatic Analysis Gorzalski, Andrew J. Kerwin, Heather Verma, Subhash Hess, David C. Sevinsky, Joel Libuit, Kevin Vlasova-St. Louis, Irina Siao, Danielle Siao, Lauren Buñuel, Diego Van Hooser, Stephanie Pandori, Mark W. J Mol Diagn Technical Advance 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. American Society for Investigative Pathology 2023-04 /pmc/articles/PMC9902282/ /pubmed/36754279 http://dx.doi.org/10.1016/j.jmoldx.2023.01.005 Text en © 2023 Association for Molecular Pathology and American Society for Investigative Pathology. Published by Elsevier Inc. All rights reserved.
spellingShingle Technical Advance
Gorzalski, Andrew J.
Kerwin, Heather
Verma, Subhash
Hess, David C.
Sevinsky, Joel
Libuit, Kevin
Vlasova-St. Louis, Irina
Siao, Danielle
Siao, Lauren
Buñuel, Diego
Van Hooser, Stephanie
Pandori, Mark W.
Rapid Lineage Assignment of Severe Acute Respiratory Syndrome Coronavirus 2 Cases through Automated Library Preparation, Sequencing, and Bioinformatic Analysis
title Rapid Lineage Assignment of Severe Acute Respiratory Syndrome Coronavirus 2 Cases through Automated Library Preparation, Sequencing, and Bioinformatic Analysis
title_full Rapid Lineage Assignment of Severe Acute Respiratory Syndrome Coronavirus 2 Cases through Automated Library Preparation, Sequencing, and Bioinformatic Analysis
title_fullStr Rapid Lineage Assignment of Severe Acute Respiratory Syndrome Coronavirus 2 Cases through Automated Library Preparation, Sequencing, and Bioinformatic Analysis
title_full_unstemmed Rapid Lineage Assignment of Severe Acute Respiratory Syndrome Coronavirus 2 Cases through Automated Library Preparation, Sequencing, and Bioinformatic Analysis
title_short Rapid Lineage Assignment of Severe Acute Respiratory Syndrome Coronavirus 2 Cases through Automated Library Preparation, Sequencing, and Bioinformatic Analysis
title_sort rapid lineage assignment of severe acute respiratory syndrome coronavirus 2 cases through automated library preparation, sequencing, and bioinformatic analysis
topic Technical Advance
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9902282/
https://www.ncbi.nlm.nih.gov/pubmed/36754279
http://dx.doi.org/10.1016/j.jmoldx.2023.01.005
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