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PCR assay to enhance global surveillance for SARS-CoV-2 variants of concern
Chantal BF Vogels; Mallery I Breban; Tara Alpert; Mary E Petrone; Anne E Watkins; Isabel M Ott; Jaqueline Goes de Jesus; Ingra Morales Claro; Giulia Magalhaes Ferreira; Myuki AE Crispim; - Brazil-UK CADDE Genomic Network; Lavanya Singh; Houriiyah Tegally; Ugochukwu J Anyaneji; - NGS-SA; Emma Hodcroft; Christopher E Mason; Gaurav Khullar; Metti Jessica; Joel T Dudley; Matthew J Mackay; Megan Nash; Jianhui Wang; Chen Liu; Pei Hui; Steven Murphy; Caleb Neal; Eva Laszlo; Marie L Landry; Anthony Muyombwe; Randy Downing; Jafar Razeq; Tulio de Oliveira; Nuno R Faria; Ester C. Sabino C Sabino; Richard A Neher; Joseph R Fauver; Nathan D Grubaugh.
Afiliação
  • Chantal BF Vogels; Yale School of Public Health
  • Mallery I Breban; Yale School of Public Health
  • Tara Alpert; Yale School of Public Health
  • Mary E Petrone; Yale School of Public Health
  • Anne E Watkins; Yale School of Public Health
  • Isabel M Ott; Yale School of Public Health
  • Jaqueline Goes de Jesus; Universidade de Sao Paulo
  • Ingra Morales Claro; Universidade de Sao Paulo
  • Giulia Magalhaes Ferreira; Universidade de Sao Paulo
  • Myuki AE Crispim; Fundacao Hospitalar de Hematologia e Hemoterapia do Amazonas
  • - Brazil-UK CADDE Genomic Network;
  • Lavanya Singh; University of KwaZulu-Natal
  • Houriiyah Tegally; University of KwaZulu-Natal
  • Ugochukwu J Anyaneji; University of KwaZulu-Natal
  • - NGS-SA;
  • Emma Hodcroft; University of Bern
  • Christopher E Mason; Tempus Labs
  • Gaurav Khullar; Tempus Labs
  • Metti Jessica; Tempus Labs
  • Joel T Dudley; Tempus Labs
  • Matthew J Mackay; Tempus Labs
  • Megan Nash; Tempus Labs
  • Jianhui Wang; Yale University School of Medicine,
  • Chen Liu; Yale University School of Medicine,
  • Pei Hui; Yale University School of Medicine,
  • Steven Murphy; Murphy Medical Associates
  • Caleb Neal; Murphy Medical Associates
  • Eva Laszlo; Murphy Medical Associates
  • Marie L Landry; Yale School of Medicine
  • Anthony Muyombwe; Connecticut State Department of Public Health
  • Randy Downing; Connecticut State Department of Public Health
  • Jafar Razeq; Connecticut State Department of Public Health
  • Tulio de Oliveira; University of KwaZulu-Natal
  • Nuno R Faria; Universidade de Sao Paulo
  • Ester C. Sabino C Sabino; Universidade de Sao Paulo
  • Richard A Neher; Swiss Institute of Bioinformatics
  • Joseph R Fauver; Yale School of Public Health
  • Nathan D Grubaugh; Yale School of Public Health
Preprint em Inglês | medRxiv | ID: ppmedrxiv-21250486
ABSTRACT
With the emergence of SARS-CoV-2 variants that may increase transmissibility and/or cause escape from immune responses1-3, there is an urgent need for the targeted surveillance of circulating lineages. It was found that the B.1.1.7 (also 501Y.V1) variant first detected in the UK4,5 could be serendipitously detected by the ThermoFisher TaqPath COVID-19 PCR assay because a key deletion in these viruses, spike {Delta}69-70, would cause a "spike gene target failure" (SGTF) result. However, a SGTF result is not definitive for B.1.1.7, and this assay cannot detect other variants of concern that lack spike {Delta}69-70, such as B.1.351 (also 501Y.V2) detected in South Africa6 and P.1 (also 501Y.V3) recently detected in Brazil7. We identified a deletion in the ORF1a gene (ORF1a {Delta}3675-3677) in all three variants, which has not yet been widely detected in other SARS-CoV-2 lineages. Using ORF1a {Delta}3675-3677 as the primary target and spike {Delta}69-70 to differentiate, we designed and validated an open source PCR assay to detect SARS-CoV-2 variants of concern8. Our assay can be rapidly deployed in laboratories around the world to enhance surveillance for the local emergence spread of B.1.1.7, B.1.351, and P.1.
Licença
cc_by_nc_nd
Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Estudo prognóstico Idioma: Inglês Ano de publicação: 2021 Tipo de documento: Preprint
Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Estudo prognóstico Idioma: Inglês Ano de publicação: 2021 Tipo de documento: Preprint
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