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A Comparison of Whole Genome Sequencing of SARS-CoV-2 Using Amplicon-Based Sequencing, Random Hexamers, and Bait Capture

Genome sequencing of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is increasingly important to monitor the transmission and adaptive evolution of the virus. The accessibility of high-throughput methods and polymerase chain reaction (PCR) has facilitated a growing ecosystem of protoco...

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Autores principales: Nasir, Jalees A., Kozak, Robert A., Aftanas, Patryk, Raphenya, Amogelang R., Smith, Kendrick M., Maguire, Finlay, Maan, Hassaan, Alruwaili, Muhannad, Banerjee, Arinjay, Mbareche, Hamza, Alcock, Brian P., Knox, Natalie C., Mossman, Karen, Wang, Bo, Hiscox, Julian A., McArthur, Andrew G., Mubareka, Samira
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7472420/
https://www.ncbi.nlm.nih.gov/pubmed/32824272
http://dx.doi.org/10.3390/v12080895
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author Nasir, Jalees A.
Kozak, Robert A.
Aftanas, Patryk
Raphenya, Amogelang R.
Smith, Kendrick M.
Maguire, Finlay
Maan, Hassaan
Alruwaili, Muhannad
Banerjee, Arinjay
Mbareche, Hamza
Alcock, Brian P.
Knox, Natalie C.
Mossman, Karen
Wang, Bo
Hiscox, Julian A.
McArthur, Andrew G.
Mubareka, Samira
author_facet Nasir, Jalees A.
Kozak, Robert A.
Aftanas, Patryk
Raphenya, Amogelang R.
Smith, Kendrick M.
Maguire, Finlay
Maan, Hassaan
Alruwaili, Muhannad
Banerjee, Arinjay
Mbareche, Hamza
Alcock, Brian P.
Knox, Natalie C.
Mossman, Karen
Wang, Bo
Hiscox, Julian A.
McArthur, Andrew G.
Mubareka, Samira
author_sort Nasir, Jalees A.
collection PubMed
description Genome sequencing of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is increasingly important to monitor the transmission and adaptive evolution of the virus. The accessibility of high-throughput methods and polymerase chain reaction (PCR) has facilitated a growing ecosystem of protocols. Two differing protocols are tiling multiplex PCR and bait capture enrichment. Each method has advantages and disadvantages but a direct comparison with different viral RNA concentrations has not been performed to assess the performance of these approaches. Here we compare Liverpool amplification, ARTIC amplification, and bait capture using clinical diagnostics samples. All libraries were sequenced using an Illumina MiniSeq with data analyzed using a standardized bioinformatics workflow (SARS-CoV-2 Illumina GeNome Assembly Line; SIGNAL). One sample showed poor SARS-CoV-2 genome coverage and consensus, reflective of low viral RNA concentration. In contrast, the second sample had a higher viral RNA concentration, which yielded good genome coverage and consensus. ARTIC amplification showed the highest depth of coverage results for both samples, suggesting this protocol is effective for low concentrations. Liverpool amplification provided a more even read coverage of the SARS-CoV-2 genome, but at a lower depth of coverage. Bait capture enrichment of SARS-CoV-2 cDNA provided results on par with amplification. While only two clinical samples were examined in this comparative analysis, both the Liverpool and ARTIC amplification methods showed differing efficacy for high and low concentration samples. In addition, amplification-free bait capture enriched sequencing of cDNA is a viable method for generating a SARS-CoV-2 genome sequence and for identification of amplification artifacts.
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spelling pubmed-74724202020-09-04 A Comparison of Whole Genome Sequencing of SARS-CoV-2 Using Amplicon-Based Sequencing, Random Hexamers, and Bait Capture Nasir, Jalees A. Kozak, Robert A. Aftanas, Patryk Raphenya, Amogelang R. Smith, Kendrick M. Maguire, Finlay Maan, Hassaan Alruwaili, Muhannad Banerjee, Arinjay Mbareche, Hamza Alcock, Brian P. Knox, Natalie C. Mossman, Karen Wang, Bo Hiscox, Julian A. McArthur, Andrew G. Mubareka, Samira Viruses Article Genome sequencing of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is increasingly important to monitor the transmission and adaptive evolution of the virus. The accessibility of high-throughput methods and polymerase chain reaction (PCR) has facilitated a growing ecosystem of protocols. Two differing protocols are tiling multiplex PCR and bait capture enrichment. Each method has advantages and disadvantages but a direct comparison with different viral RNA concentrations has not been performed to assess the performance of these approaches. Here we compare Liverpool amplification, ARTIC amplification, and bait capture using clinical diagnostics samples. All libraries were sequenced using an Illumina MiniSeq with data analyzed using a standardized bioinformatics workflow (SARS-CoV-2 Illumina GeNome Assembly Line; SIGNAL). One sample showed poor SARS-CoV-2 genome coverage and consensus, reflective of low viral RNA concentration. In contrast, the second sample had a higher viral RNA concentration, which yielded good genome coverage and consensus. ARTIC amplification showed the highest depth of coverage results for both samples, suggesting this protocol is effective for low concentrations. Liverpool amplification provided a more even read coverage of the SARS-CoV-2 genome, but at a lower depth of coverage. Bait capture enrichment of SARS-CoV-2 cDNA provided results on par with amplification. While only two clinical samples were examined in this comparative analysis, both the Liverpool and ARTIC amplification methods showed differing efficacy for high and low concentration samples. In addition, amplification-free bait capture enriched sequencing of cDNA is a viable method for generating a SARS-CoV-2 genome sequence and for identification of amplification artifacts. MDPI 2020-08-15 /pmc/articles/PMC7472420/ /pubmed/32824272 http://dx.doi.org/10.3390/v12080895 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Nasir, Jalees A.
Kozak, Robert A.
Aftanas, Patryk
Raphenya, Amogelang R.
Smith, Kendrick M.
Maguire, Finlay
Maan, Hassaan
Alruwaili, Muhannad
Banerjee, Arinjay
Mbareche, Hamza
Alcock, Brian P.
Knox, Natalie C.
Mossman, Karen
Wang, Bo
Hiscox, Julian A.
McArthur, Andrew G.
Mubareka, Samira
A Comparison of Whole Genome Sequencing of SARS-CoV-2 Using Amplicon-Based Sequencing, Random Hexamers, and Bait Capture
title A Comparison of Whole Genome Sequencing of SARS-CoV-2 Using Amplicon-Based Sequencing, Random Hexamers, and Bait Capture
title_full A Comparison of Whole Genome Sequencing of SARS-CoV-2 Using Amplicon-Based Sequencing, Random Hexamers, and Bait Capture
title_fullStr A Comparison of Whole Genome Sequencing of SARS-CoV-2 Using Amplicon-Based Sequencing, Random Hexamers, and Bait Capture
title_full_unstemmed A Comparison of Whole Genome Sequencing of SARS-CoV-2 Using Amplicon-Based Sequencing, Random Hexamers, and Bait Capture
title_short A Comparison of Whole Genome Sequencing of SARS-CoV-2 Using Amplicon-Based Sequencing, Random Hexamers, and Bait Capture
title_sort comparison of whole genome sequencing of sars-cov-2 using amplicon-based sequencing, random hexamers, and bait capture
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7472420/
https://www.ncbi.nlm.nih.gov/pubmed/32824272
http://dx.doi.org/10.3390/v12080895
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