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Design of SARS-CoV-2 Variant-Specific PCR Assays Considering Regional and Temporal Characteristics

Monitoring the prevalence of SARS-CoV-2 variants is necessary to make informed public health decisions during the COVID-19 pandemic. PCR assays have received global attention, facilitating a rapid understanding of variant dynamics because they are more accessible and scalable than genome sequencing....

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Autores principales: Oh, Chamteut, Sashittal, Palash, Zhou, Aijia, Wang, Leyi, El-Kebir, Mohammed, Nguyen, Thanh H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Microbiology 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9004361/
https://www.ncbi.nlm.nih.gov/pubmed/35285246
http://dx.doi.org/10.1128/aem.02289-21
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author Oh, Chamteut
Sashittal, Palash
Zhou, Aijia
Wang, Leyi
El-Kebir, Mohammed
Nguyen, Thanh H.
author_facet Oh, Chamteut
Sashittal, Palash
Zhou, Aijia
Wang, Leyi
El-Kebir, Mohammed
Nguyen, Thanh H.
author_sort Oh, Chamteut
collection PubMed
description Monitoring the prevalence of SARS-CoV-2 variants is necessary to make informed public health decisions during the COVID-19 pandemic. PCR assays have received global attention, facilitating a rapid understanding of variant dynamics because they are more accessible and scalable than genome sequencing. However, as PCR assays target only a few mutations, their accuracy could be reduced when these mutations are not exclusive to the target variants. Here we introduce PRIMES, an algorithm that evaluates the sensitivity and specificity of SARS-CoV-2 variant-specific PCR assays across different geographical regions by incorporating sequences deposited in the GISAID database. Using PRIMES, we determined that the accuracy of several PCR assays decreased when applied beyond the geographic scope of the study in which the assays were developed. Subsequently, we used this tool to design Alpha and Delta variant-specific PCR assays for samples from Illinois, USA. In silico analysis using PRIMES determined the sensitivity/specificity to be 0.99/0.99 for the Alpha variant-specific PCR assay and 0.98/1.00 for the Delta variant-specific PCR assay in Illinois, respectively. We applied these two variant-specific PCR assays to six local sewage samples and determined the dominant SARS-CoV-2 variant of either the wild type, the Alpha variant, or the Delta variant. Using next-generation sequencing (NGS) of the spike (S) gene amplicons of the Delta variant-dominant samples, we found six mutations exclusive to the Delta variant (S:T19R, S:Δ156/157, S:L452R, S:T478K, S:P681R, and S:D950N). The consistency between the variant-specific PCR assays and the NGS results supports the applicability of PRIMES. IMPORTANCE Monitoring the introduction and prevalence of variants of concern (VOCs) and variants of interest (VOIs) in a community can help the local authorities make informed public health decisions. PCR assays can be designed to keep track of SARS-CoV-2 variants by measuring unique mutation markers that are exclusive to the target variants. However, the mutation markers may not be exclusive to the target variants because of regional and temporal differences in variant dynamics. We introduce PRIMES, an algorithm that enables the design of reliable PCR assays for variant detection. Because PCR is more accessible, scalable, and robust for sewage samples than sequencing technology, our findings will contribute to improving global SARS-CoV-2 variant surveillance.
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spelling pubmed-90043612022-04-13 Design of SARS-CoV-2 Variant-Specific PCR Assays Considering Regional and Temporal Characteristics Oh, Chamteut Sashittal, Palash Zhou, Aijia Wang, Leyi El-Kebir, Mohammed Nguyen, Thanh H. Appl Environ Microbiol Methods Monitoring the prevalence of SARS-CoV-2 variants is necessary to make informed public health decisions during the COVID-19 pandemic. PCR assays have received global attention, facilitating a rapid understanding of variant dynamics because they are more accessible and scalable than genome sequencing. However, as PCR assays target only a few mutations, their accuracy could be reduced when these mutations are not exclusive to the target variants. Here we introduce PRIMES, an algorithm that evaluates the sensitivity and specificity of SARS-CoV-2 variant-specific PCR assays across different geographical regions by incorporating sequences deposited in the GISAID database. Using PRIMES, we determined that the accuracy of several PCR assays decreased when applied beyond the geographic scope of the study in which the assays were developed. Subsequently, we used this tool to design Alpha and Delta variant-specific PCR assays for samples from Illinois, USA. In silico analysis using PRIMES determined the sensitivity/specificity to be 0.99/0.99 for the Alpha variant-specific PCR assay and 0.98/1.00 for the Delta variant-specific PCR assay in Illinois, respectively. We applied these two variant-specific PCR assays to six local sewage samples and determined the dominant SARS-CoV-2 variant of either the wild type, the Alpha variant, or the Delta variant. Using next-generation sequencing (NGS) of the spike (S) gene amplicons of the Delta variant-dominant samples, we found six mutations exclusive to the Delta variant (S:T19R, S:Δ156/157, S:L452R, S:T478K, S:P681R, and S:D950N). The consistency between the variant-specific PCR assays and the NGS results supports the applicability of PRIMES. IMPORTANCE Monitoring the introduction and prevalence of variants of concern (VOCs) and variants of interest (VOIs) in a community can help the local authorities make informed public health decisions. PCR assays can be designed to keep track of SARS-CoV-2 variants by measuring unique mutation markers that are exclusive to the target variants. However, the mutation markers may not be exclusive to the target variants because of regional and temporal differences in variant dynamics. We introduce PRIMES, an algorithm that enables the design of reliable PCR assays for variant detection. Because PCR is more accessible, scalable, and robust for sewage samples than sequencing technology, our findings will contribute to improving global SARS-CoV-2 variant surveillance. American Society for Microbiology 2022-03-14 /pmc/articles/PMC9004361/ /pubmed/35285246 http://dx.doi.org/10.1128/aem.02289-21 Text en Copyright © 2022 American Society for Microbiology. https://doi.org/10.1128/ASMCopyrightv2All Rights Reserved (https://doi.org/10.1128/ASMCopyrightv2) . https://doi.org/10.1128/ASMCopyrightv2This article is made available via the PMC Open Access Subset for unrestricted noncommercial re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Methods
Oh, Chamteut
Sashittal, Palash
Zhou, Aijia
Wang, Leyi
El-Kebir, Mohammed
Nguyen, Thanh H.
Design of SARS-CoV-2 Variant-Specific PCR Assays Considering Regional and Temporal Characteristics
title Design of SARS-CoV-2 Variant-Specific PCR Assays Considering Regional and Temporal Characteristics
title_full Design of SARS-CoV-2 Variant-Specific PCR Assays Considering Regional and Temporal Characteristics
title_fullStr Design of SARS-CoV-2 Variant-Specific PCR Assays Considering Regional and Temporal Characteristics
title_full_unstemmed Design of SARS-CoV-2 Variant-Specific PCR Assays Considering Regional and Temporal Characteristics
title_short Design of SARS-CoV-2 Variant-Specific PCR Assays Considering Regional and Temporal Characteristics
title_sort design of sars-cov-2 variant-specific pcr assays considering regional and temporal characteristics
topic Methods
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9004361/
https://www.ncbi.nlm.nih.gov/pubmed/35285246
http://dx.doi.org/10.1128/aem.02289-21
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