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Development and validation of a high throughput SARS-CoV-2 whole genome sequencing workflow in a clinical laboratory
Monitoring new mutations in SARS-CoV-2 provides crucial information for identifying diagnostic and therapeutic targets and important insights to achieve a more effective COVID-19 control strategy. Next generation sequencing (NGS) technologies have been widely used for whole genome sequencing (WGS) o...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8826425/ https://www.ncbi.nlm.nih.gov/pubmed/35136154 http://dx.doi.org/10.1038/s41598-022-06091-0 |
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author | Rosenthal, Sun Hee Gerasimova, Anna Ruiz-Vega, Rolando Livingston, Kayla Kagan, Ron M. Liu, Yan Anderson, Ben Owen, Renius Bernstein, Laurence Smolgovsky, Alla Xu, Dong Chen, Rebecca Grupe, Andrew Tanpaiboon, Pranoot Lacbawan, Felicitas |
author_facet | Rosenthal, Sun Hee Gerasimova, Anna Ruiz-Vega, Rolando Livingston, Kayla Kagan, Ron M. Liu, Yan Anderson, Ben Owen, Renius Bernstein, Laurence Smolgovsky, Alla Xu, Dong Chen, Rebecca Grupe, Andrew Tanpaiboon, Pranoot Lacbawan, Felicitas |
author_sort | Rosenthal, Sun Hee |
collection | PubMed |
description | Monitoring new mutations in SARS-CoV-2 provides crucial information for identifying diagnostic and therapeutic targets and important insights to achieve a more effective COVID-19 control strategy. Next generation sequencing (NGS) technologies have been widely used for whole genome sequencing (WGS) of SARS-CoV-2. While various NGS methods have been reported, one chief limitation has been the complexity of the workflow, limiting the scalability. Here, we overcome this limitation by designing a laboratory workflow optimized for high-throughput studies. The workflow utilizes modified ARTIC network v3 primers for SARS-CoV-2 whole genome amplification. NGS libraries were prepared by a 2-step PCR method, similar to a previously reported tailed PCR method, with further optimizations to improve amplicon balance, to minimize amplicon dropout for viral genomes harboring primer-binding site mutation(s), and to integrate robotic liquid handlers. Validation studies demonstrated that the optimized workflow can process up to 2688 samples in a single sequencing run without compromising sensitivity and accuracy and with fewer amplicon dropout events compared to the standard ARTIC protocol. We additionally report results for over 65,000 SARS-CoV-2 whole genome sequences from clinical specimens collected in the United States between January and September of 2021, as part of an ongoing national genomics surveillance effort. |
format | Online Article Text |
id | pubmed-8826425 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-88264252022-02-10 Development and validation of a high throughput SARS-CoV-2 whole genome sequencing workflow in a clinical laboratory Rosenthal, Sun Hee Gerasimova, Anna Ruiz-Vega, Rolando Livingston, Kayla Kagan, Ron M. Liu, Yan Anderson, Ben Owen, Renius Bernstein, Laurence Smolgovsky, Alla Xu, Dong Chen, Rebecca Grupe, Andrew Tanpaiboon, Pranoot Lacbawan, Felicitas Sci Rep Article Monitoring new mutations in SARS-CoV-2 provides crucial information for identifying diagnostic and therapeutic targets and important insights to achieve a more effective COVID-19 control strategy. Next generation sequencing (NGS) technologies have been widely used for whole genome sequencing (WGS) of SARS-CoV-2. While various NGS methods have been reported, one chief limitation has been the complexity of the workflow, limiting the scalability. Here, we overcome this limitation by designing a laboratory workflow optimized for high-throughput studies. The workflow utilizes modified ARTIC network v3 primers for SARS-CoV-2 whole genome amplification. NGS libraries were prepared by a 2-step PCR method, similar to a previously reported tailed PCR method, with further optimizations to improve amplicon balance, to minimize amplicon dropout for viral genomes harboring primer-binding site mutation(s), and to integrate robotic liquid handlers. Validation studies demonstrated that the optimized workflow can process up to 2688 samples in a single sequencing run without compromising sensitivity and accuracy and with fewer amplicon dropout events compared to the standard ARTIC protocol. We additionally report results for over 65,000 SARS-CoV-2 whole genome sequences from clinical specimens collected in the United States between January and September of 2021, as part of an ongoing national genomics surveillance effort. Nature Publishing Group UK 2022-02-08 /pmc/articles/PMC8826425/ /pubmed/35136154 http://dx.doi.org/10.1038/s41598-022-06091-0 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Rosenthal, Sun Hee Gerasimova, Anna Ruiz-Vega, Rolando Livingston, Kayla Kagan, Ron M. Liu, Yan Anderson, Ben Owen, Renius Bernstein, Laurence Smolgovsky, Alla Xu, Dong Chen, Rebecca Grupe, Andrew Tanpaiboon, Pranoot Lacbawan, Felicitas Development and validation of a high throughput SARS-CoV-2 whole genome sequencing workflow in a clinical laboratory |
title | Development and validation of a high throughput SARS-CoV-2 whole genome sequencing workflow in a clinical laboratory |
title_full | Development and validation of a high throughput SARS-CoV-2 whole genome sequencing workflow in a clinical laboratory |
title_fullStr | Development and validation of a high throughput SARS-CoV-2 whole genome sequencing workflow in a clinical laboratory |
title_full_unstemmed | Development and validation of a high throughput SARS-CoV-2 whole genome sequencing workflow in a clinical laboratory |
title_short | Development and validation of a high throughput SARS-CoV-2 whole genome sequencing workflow in a clinical laboratory |
title_sort | development and validation of a high throughput sars-cov-2 whole genome sequencing workflow in a clinical laboratory |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8826425/ https://www.ncbi.nlm.nih.gov/pubmed/35136154 http://dx.doi.org/10.1038/s41598-022-06091-0 |
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