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A high-resolution melt curve toolkit to identify lineage-defining SARS-CoV-2 mutations
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s41598-023-30754-1.pdf | Published version | 1.67 MB | Adobe PDF | View/Open |
Title: | A high-resolution melt curve toolkit to identify lineage-defining SARS-CoV-2 mutations |
Authors: | Fraser, AJ Greenland-Bews, C Kelly, D Williams, CT Bengey, D Buist, K Clerkin, K Finch, LS Gould, S Kontogianni, K Savage, HR Thompson, CR Wardale, J Watkins, RL Wooding, D Allen, AJ Body, R Braybrook, J Buckle, P Clark, E Dark, P Davis, K Gordon, A Hayward, G Halstead, A Harden, C Inkson, C Jones, N Jones, W Lasserson, D Lee, J Lendrem, C Lewington, A Logan, M Micocci, M Nicholson, B Perera-Salazar, R Prestwich, G Price, A Reynard, C Riley, B Simpson, AJ Tate, V Turner, P Wilcox, M Zhifang, M Body, R Adams, ER Atienzar, AC Edwards, T Allen, DJ |
Item Type: | Journal Article |
Abstract: | The emergence of severe acute respiratory syndrome 2 (SARS-CoV-2) variants of concern (VOCs), with mutations linked to increased transmissibility, vaccine escape and virulence, has necessitated the widespread genomic surveillance of SARS-CoV-2. This has placed a strain on global sequencing capacity, especially in areas lacking the resources for large scale sequencing activities. Here we have developed three separate multiplex high-resolution melting assays to enable the identification of Alpha, Beta, Delta and Omicron VOCs. The assays were evaluated against whole genome sequencing on upper-respiratory swab samples collected during the Alpha, Delta and Omicron [BA.1] waves of the UK pandemic. The sensitivities of the eight individual primer sets were all 100%, and specificity ranged from 94.6 to 100%. The multiplex HRM assays have potential as a tool for high throughput surveillance of SARS-CoV-2 VOCs, particularly in areas with limited genomics facilities. |
Issue Date: | 8-Mar-2023 |
Date of Acceptance: | 28-Feb-2023 |
URI: | http://hdl.handle.net/10044/1/105266 |
DOI: | 10.1038/s41598-023-30754-1 |
Publisher: | Springer Science and Business Media LLC |
Start Page: | 1 |
End Page: | 11 |
Journal / Book Title: | Scientific Reports |
Volume: | 13 |
Issue: | 1 |
Copyright Statement: | © The Author(s) 2023. 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/. |
Publication Status: | Published |
Article Number: | 3887 |
Online Publication Date: | 2023-03-08 |
Appears in Collections: | Department of Surgery and Cancer Imperial College London COVID-19 |
This item is licensed under a Creative Commons License