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Accurate Detection of SARS-CoV-2 by Next-Generation Sequencing in Low Viral Load Specimens
As new SARS-CoV-2 variants emerge, there is an urgent need to increase the efficiency and availability of viral genome sequencing, notably to detect the lineage in samples with a low viral load. SARS-CoV-2 genome next-generation sequencing (NGS) was performed retrospectively in a single center on 17...
Autores principales: | , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9964843/ https://www.ncbi.nlm.nih.gov/pubmed/36834888 http://dx.doi.org/10.3390/ijms24043478 |
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author | Ilié, Marius Benzaquen, Jonathan Hofman, Véronique Long-Mira, Elodie Lassalle, Sandra Boutros, Jacques Bontoux, Christophe Lespinet-Fabre, Virginie Bordone, Olivier Tanga, Virginie Allegra, Maryline Salah, Myriam Fayada, Julien Leroy, Sylvie Vassallo, Matteo Touitou, Irit Courjon, Johan Contenti, Julie Carles, Michel Marquette, Charles-Hugo Hofman, Paul |
author_facet | Ilié, Marius Benzaquen, Jonathan Hofman, Véronique Long-Mira, Elodie Lassalle, Sandra Boutros, Jacques Bontoux, Christophe Lespinet-Fabre, Virginie Bordone, Olivier Tanga, Virginie Allegra, Maryline Salah, Myriam Fayada, Julien Leroy, Sylvie Vassallo, Matteo Touitou, Irit Courjon, Johan Contenti, Julie Carles, Michel Marquette, Charles-Hugo Hofman, Paul |
author_sort | Ilié, Marius |
collection | PubMed |
description | As new SARS-CoV-2 variants emerge, there is an urgent need to increase the efficiency and availability of viral genome sequencing, notably to detect the lineage in samples with a low viral load. SARS-CoV-2 genome next-generation sequencing (NGS) was performed retrospectively in a single center on 175 positive samples from individuals. An automated workflow used the Ion AmpliSeq SARS-CoV-2 Insight Research Assay on the Genexus Sequencer. All samples were collected in the metropolitan area of the city of Nice (France) over a period of 32 weeks (from 19 July 2021 to 11 February 2022). In total, 76% of cases were identified with a low viral load (Ct ≥ 32, and ≤200 copies/µL). The NGS analysis was successful in 91% of cases, among which 57% of cases harbored the Delta variant, and 34% the Omicron BA.1.1 variant. Only 9% of cases had unreadable sequences. There was no significant difference in the viral load in patients infected with the Omicron variant compared to the Delta variant (Ct values, p = 0.0507; copy number, p = 0.252). We show that the NGS analysis of the SARS-CoV-2 genome provides reliable detection of the Delta and Omicron SARS-CoV-2 variants in low viral load samples. |
format | Online Article Text |
id | pubmed-9964843 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-99648432023-02-26 Accurate Detection of SARS-CoV-2 by Next-Generation Sequencing in Low Viral Load Specimens Ilié, Marius Benzaquen, Jonathan Hofman, Véronique Long-Mira, Elodie Lassalle, Sandra Boutros, Jacques Bontoux, Christophe Lespinet-Fabre, Virginie Bordone, Olivier Tanga, Virginie Allegra, Maryline Salah, Myriam Fayada, Julien Leroy, Sylvie Vassallo, Matteo Touitou, Irit Courjon, Johan Contenti, Julie Carles, Michel Marquette, Charles-Hugo Hofman, Paul Int J Mol Sci Article As new SARS-CoV-2 variants emerge, there is an urgent need to increase the efficiency and availability of viral genome sequencing, notably to detect the lineage in samples with a low viral load. SARS-CoV-2 genome next-generation sequencing (NGS) was performed retrospectively in a single center on 175 positive samples from individuals. An automated workflow used the Ion AmpliSeq SARS-CoV-2 Insight Research Assay on the Genexus Sequencer. All samples were collected in the metropolitan area of the city of Nice (France) over a period of 32 weeks (from 19 July 2021 to 11 February 2022). In total, 76% of cases were identified with a low viral load (Ct ≥ 32, and ≤200 copies/µL). The NGS analysis was successful in 91% of cases, among which 57% of cases harbored the Delta variant, and 34% the Omicron BA.1.1 variant. Only 9% of cases had unreadable sequences. There was no significant difference in the viral load in patients infected with the Omicron variant compared to the Delta variant (Ct values, p = 0.0507; copy number, p = 0.252). We show that the NGS analysis of the SARS-CoV-2 genome provides reliable detection of the Delta and Omicron SARS-CoV-2 variants in low viral load samples. MDPI 2023-02-09 /pmc/articles/PMC9964843/ /pubmed/36834888 http://dx.doi.org/10.3390/ijms24043478 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Ilié, Marius Benzaquen, Jonathan Hofman, Véronique Long-Mira, Elodie Lassalle, Sandra Boutros, Jacques Bontoux, Christophe Lespinet-Fabre, Virginie Bordone, Olivier Tanga, Virginie Allegra, Maryline Salah, Myriam Fayada, Julien Leroy, Sylvie Vassallo, Matteo Touitou, Irit Courjon, Johan Contenti, Julie Carles, Michel Marquette, Charles-Hugo Hofman, Paul Accurate Detection of SARS-CoV-2 by Next-Generation Sequencing in Low Viral Load Specimens |
title | Accurate Detection of SARS-CoV-2 by Next-Generation Sequencing in Low Viral Load Specimens |
title_full | Accurate Detection of SARS-CoV-2 by Next-Generation Sequencing in Low Viral Load Specimens |
title_fullStr | Accurate Detection of SARS-CoV-2 by Next-Generation Sequencing in Low Viral Load Specimens |
title_full_unstemmed | Accurate Detection of SARS-CoV-2 by Next-Generation Sequencing in Low Viral Load Specimens |
title_short | Accurate Detection of SARS-CoV-2 by Next-Generation Sequencing in Low Viral Load Specimens |
title_sort | accurate detection of sars-cov-2 by next-generation sequencing in low viral load specimens |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9964843/ https://www.ncbi.nlm.nih.gov/pubmed/36834888 http://dx.doi.org/10.3390/ijms24043478 |
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