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Optimization of the SARS-CoV-2 ARTIC Network V4 Primers and Whole Genome Sequencing Protocol

INTRODUCTION: The ARTIC Network's primer set and amplicon-based protocol is one of the most widely used SARS-CoV-2 sequencing protocol. An update to the V3 primer set was released on 18th June 2021 to address amplicon drop-off observed among the Delta variant of concern. Here, we report on an i...

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Autores principales: Lambisia, Arnold W., Mohammed, Khadija S., Makori, Timothy O., Ndwiga, Leonard, Mburu, Maureen W., Morobe, John M., Moraa, Edidah O., Musyoki, Jennifer, Murunga, Nickson, Mwangi, Jane N., Nokes, D. James, Agoti, Charles N., Ochola-Oyier, Lynette Isabella, Githinji, George
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8891481/
https://www.ncbi.nlm.nih.gov/pubmed/35252269
http://dx.doi.org/10.3389/fmed.2022.836728
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author Lambisia, Arnold W.
Mohammed, Khadija S.
Makori, Timothy O.
Ndwiga, Leonard
Mburu, Maureen W.
Morobe, John M.
Moraa, Edidah O.
Musyoki, Jennifer
Murunga, Nickson
Mwangi, Jane N.
Nokes, D. James
Agoti, Charles N.
Ochola-Oyier, Lynette Isabella
Githinji, George
author_facet Lambisia, Arnold W.
Mohammed, Khadija S.
Makori, Timothy O.
Ndwiga, Leonard
Mburu, Maureen W.
Morobe, John M.
Moraa, Edidah O.
Musyoki, Jennifer
Murunga, Nickson
Mwangi, Jane N.
Nokes, D. James
Agoti, Charles N.
Ochola-Oyier, Lynette Isabella
Githinji, George
author_sort Lambisia, Arnold W.
collection PubMed
description INTRODUCTION: The ARTIC Network's primer set and amplicon-based protocol is one of the most widely used SARS-CoV-2 sequencing protocol. An update to the V3 primer set was released on 18th June 2021 to address amplicon drop-off observed among the Delta variant of concern. Here, we report on an in-house optimization of a modified version of the ARTIC Network V4 protocol that improves SARS-CoV-2 genome recovery in instances where the original V4 pooling strategy was characterized by amplicon drop-offs. METHODS: We utilized a matched set of 43 clinical samples and serially diluted positive controls that were amplified by ARTIC V3, V4 and optimized V4 primers and sequenced using GridION from the Oxford Nanopore Technologies'. RESULTS: We observed a 0.5% to 46% increase in genome recovery in 67% of the samples when using the original V4 pooling strategy compared to the V3 primers. Amplicon drop-offs at primer positions 23 and 90 were observed for all variants and positive controls. When using the optimized protocol, we observed a 60% improvement in genome recovery across all samples and an increase in the average depth in amplicon 23 and 90. Consequently, ≥95% of the genome was recovered in 72% (n = 31) of the samples. However, only 60–70% of the genomes could be recovered in samples that had <28% genome coverage with the ARTIC V3 primers. There was no statistically significant (p > 0.05) correlation between Ct value and genome recovery. CONCLUSION: Utilizing the ARTIC V4 primers, while increasing the primer concentrations for amplicons with drop-offs or low average read-depth, greatly improves genome recovery of Alpha, Beta, Delta, Eta and non-VOC/non-VOI SARS-CoV-2 variants.
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spelling pubmed-88914812022-03-04 Optimization of the SARS-CoV-2 ARTIC Network V4 Primers and Whole Genome Sequencing Protocol Lambisia, Arnold W. Mohammed, Khadija S. Makori, Timothy O. Ndwiga, Leonard Mburu, Maureen W. Morobe, John M. Moraa, Edidah O. Musyoki, Jennifer Murunga, Nickson Mwangi, Jane N. Nokes, D. James Agoti, Charles N. Ochola-Oyier, Lynette Isabella Githinji, George Front Med (Lausanne) Medicine INTRODUCTION: The ARTIC Network's primer set and amplicon-based protocol is one of the most widely used SARS-CoV-2 sequencing protocol. An update to the V3 primer set was released on 18th June 2021 to address amplicon drop-off observed among the Delta variant of concern. Here, we report on an in-house optimization of a modified version of the ARTIC Network V4 protocol that improves SARS-CoV-2 genome recovery in instances where the original V4 pooling strategy was characterized by amplicon drop-offs. METHODS: We utilized a matched set of 43 clinical samples and serially diluted positive controls that were amplified by ARTIC V3, V4 and optimized V4 primers and sequenced using GridION from the Oxford Nanopore Technologies'. RESULTS: We observed a 0.5% to 46% increase in genome recovery in 67% of the samples when using the original V4 pooling strategy compared to the V3 primers. Amplicon drop-offs at primer positions 23 and 90 were observed for all variants and positive controls. When using the optimized protocol, we observed a 60% improvement in genome recovery across all samples and an increase in the average depth in amplicon 23 and 90. Consequently, ≥95% of the genome was recovered in 72% (n = 31) of the samples. However, only 60–70% of the genomes could be recovered in samples that had <28% genome coverage with the ARTIC V3 primers. There was no statistically significant (p > 0.05) correlation between Ct value and genome recovery. CONCLUSION: Utilizing the ARTIC V4 primers, while increasing the primer concentrations for amplicons with drop-offs or low average read-depth, greatly improves genome recovery of Alpha, Beta, Delta, Eta and non-VOC/non-VOI SARS-CoV-2 variants. Frontiers Media S.A. 2022-02-17 /pmc/articles/PMC8891481/ /pubmed/35252269 http://dx.doi.org/10.3389/fmed.2022.836728 Text en Copyright © 2022 Lambisia, Mohammed, Makori, Ndwiga, Mburu, Morobe, Moraa, Musyoki, Murunga, Mwangi, Nokes, Agoti, Ochola-Oyier and Githinji. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Medicine
Lambisia, Arnold W.
Mohammed, Khadija S.
Makori, Timothy O.
Ndwiga, Leonard
Mburu, Maureen W.
Morobe, John M.
Moraa, Edidah O.
Musyoki, Jennifer
Murunga, Nickson
Mwangi, Jane N.
Nokes, D. James
Agoti, Charles N.
Ochola-Oyier, Lynette Isabella
Githinji, George
Optimization of the SARS-CoV-2 ARTIC Network V4 Primers and Whole Genome Sequencing Protocol
title Optimization of the SARS-CoV-2 ARTIC Network V4 Primers and Whole Genome Sequencing Protocol
title_full Optimization of the SARS-CoV-2 ARTIC Network V4 Primers and Whole Genome Sequencing Protocol
title_fullStr Optimization of the SARS-CoV-2 ARTIC Network V4 Primers and Whole Genome Sequencing Protocol
title_full_unstemmed Optimization of the SARS-CoV-2 ARTIC Network V4 Primers and Whole Genome Sequencing Protocol
title_short Optimization of the SARS-CoV-2 ARTIC Network V4 Primers and Whole Genome Sequencing Protocol
title_sort optimization of the sars-cov-2 artic network v4 primers and whole genome sequencing protocol
topic Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8891481/
https://www.ncbi.nlm.nih.gov/pubmed/35252269
http://dx.doi.org/10.3389/fmed.2022.836728
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