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A high-resolution melt curve toolkit to identify lineage-defining SARS-CoV-2 mutations.
Fraser, Alice J; Greenland-Bews, Caitlin; Kelly, Daniel; Williams, Christopher T; Body, Richard; Adams, Emily R; Atienzar, Ana Cubas; Edwards, Thomas; Allen, David J.
Afiliação
  • Fraser AJ; London School of Hygiene and Tropical Medicine, London, UK.
  • Greenland-Bews C; Liverpool School of Tropical Medicine, Liverpool, UK.
  • Kelly D; Liverpool School of Tropical Medicine, Liverpool, UK.
  • Williams CT; London School of Hygiene and Tropical Medicine, London, UK.
  • Adams ER; Manchester University NHS Foundation Trust, Manchester, UK.
  • Atienzar AC; Liverpool School of Tropical Medicine, Liverpool, UK.
  • Edwards T; Liverpool School of Tropical Medicine, Liverpool, UK.
  • Allen DJ; Liverpool School of Tropical Medicine, Liverpool, UK.
Sci Rep ; 13(1): 3887, 2023 03 08.
Article em En | MEDLINE | ID: mdl-36890186
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.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: COVID-19 Limite: Humans Idioma: En Revista: Sci Rep Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: COVID-19 Limite: Humans Idioma: En Revista: Sci Rep Ano de publicação: 2023 Tipo de documento: Article