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In vitro selection of Remdesivir resistance suggests evolutionary predictability of SARS-CoV-2
Authors:Agnieszka M. Szemiel  Andres Merits  Richard J. Orton  Oscar A. MacLean  Rute Maria Pinto  Arthur Wickenhagen  Gauthier Lieber  Matthew L. Turnbull  Sainan Wang  Wilhelm Furnon  Nicolas M. Suarez  Daniel Mair  Ana da Silva Filipe  Brian J. Willett  Sam J. Wilson  Arvind H. Patel  Emma C. Thomson  Massimo Palmarini  Alain Kohl  Meredith E. Stewart
Affiliation:1. MRC-University of Glasgow Centre for Virus Research, Glasgow, United Kingdom;2. Institute of Technology, University of Tartu, Tartu, Estonia; Chang Gung University, TAIWAN
Abstract:Remdesivir (RDV), a broadly acting nucleoside analogue, is the only FDA approved small molecule antiviral for the treatment of COVID-19 patients. To date, there are no reports identifying SARS-CoV-2 RDV resistance in patients, animal models or in vitro. Here, we selected drug-resistant viral populations by serially passaging SARS-CoV-2 in vitro in the presence of RDV. Using high throughput sequencing, we identified a single mutation in RNA-dependent RNA polymerase (NSP12) at a residue conserved among all coronaviruses in two independently evolved populations displaying decreased RDV sensitivity. Introduction of the NSP12 E802D mutation into our SARS-CoV-2 reverse genetics backbone confirmed its role in decreasing RDV sensitivity in vitro. Substitution of E802 did not affect viral replication or activity of an alternate nucleoside analogue (EIDD2801) but did affect virus fitness in a competition assay. Analysis of the globally circulating SARS-CoV-2 variants (>800,000 sequences) showed no evidence of widespread transmission of RDV-resistant mutants. Surprisingly, we observed an excess of substitutions in spike at corresponding sites identified in the emerging SARS-CoV-2 variants of concern (i.e., H69, E484, N501, H655) indicating that they can arise in vitro in the absence of immune selection. The identification and characterisation of a drug resistant signature within the SARS-CoV-2 genome has implications for clinical management and virus surveillance.
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