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      In vitro selection of Remdesivir resistance suggests evolutionary predictability of SARS-CoV-2

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          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.

          Author summary

          The emergence of SARS-CoV-2 has led to a worldwide pandemic with significant morbidity and mortality. Remdesivir is the only antiviral with FDA approval for treatment. Antivirals use comes at a risk, as viruses may acquire mutations to overcome the inhibition. We identified a mutation in the virus polymerase responsible for decreased sensitivity to Remdesivir. A change at this conserved site was not predicted, and the mutation did not cause a replication advantage or change in sensitivity to another antiviral drug. Importantly, this change occurred at very low frequency globally. Unexpectedly, passage of SARS-CoV-2 led to an accumulation of mutations in spike. A number occurred at the same sites but to different residues as those in emerging variants of concern indicating they arise in the absence of immune pressure. Our data indicates low-level Remdesivir resistance in SARS-CoV-2 is different to other RNA viruses and monitoring changes in vitro provides insight into general virus adaptation of newly emerging viruses.

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          Fast and accurate short read alignment with Burrows–Wheeler transform

          Motivation: The enormous amount of short reads generated by the new DNA sequencing technologies call for the development of fast and accurate read alignment programs. A first generation of hash table-based methods has been developed, including MAQ, which is accurate, feature rich and fast enough to align short reads from a single individual. However, MAQ does not support gapped alignment for single-end reads, which makes it unsuitable for alignment of longer reads where indels may occur frequently. The speed of MAQ is also a concern when the alignment is scaled up to the resequencing of hundreds of individuals. Results: We implemented Burrows-Wheeler Alignment tool (BWA), a new read alignment package that is based on backward search with Burrows–Wheeler Transform (BWT), to efficiently align short sequencing reads against a large reference sequence such as the human genome, allowing mismatches and gaps. BWA supports both base space reads, e.g. from Illumina sequencing machines, and color space reads from AB SOLiD machines. Evaluations on both simulated and real data suggest that BWA is ∼10–20× faster than MAQ, while achieving similar accuracy. In addition, BWA outputs alignment in the new standard SAM (Sequence Alignment/Map) format. Variant calling and other downstream analyses after the alignment can be achieved with the open source SAMtools software package. Availability: http://maq.sourceforge.net Contact: rd@sanger.ac.uk
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            SARS-CoV-2 Cell Entry Depends on ACE2 and TMPRSS2 and Is Blocked by a Clinically Proven Protease Inhibitor

            Summary The recent emergence of the novel, pathogenic SARS-coronavirus 2 (SARS-CoV-2) in China and its rapid national and international spread pose a global health emergency. Cell entry of coronaviruses depends on binding of the viral spike (S) proteins to cellular receptors and on S protein priming by host cell proteases. Unravelling which cellular factors are used by SARS-CoV-2 for entry might provide insights into viral transmission and reveal therapeutic targets. Here, we demonstrate that SARS-CoV-2 uses the SARS-CoV receptor ACE2 for entry and the serine protease TMPRSS2 for S protein priming. A TMPRSS2 inhibitor approved for clinical use blocked entry and might constitute a treatment option. Finally, we show that the sera from convalescent SARS patients cross-neutralized SARS-2-S-driven entry. Our results reveal important commonalities between SARS-CoV-2 and SARS-CoV infection and identify a potential target for antiviral intervention.
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              UCSF Chimera--a visualization system for exploratory research and analysis.

              The design, implementation, and capabilities of an extensible visualization system, UCSF Chimera, are discussed. Chimera is segmented into a core that provides basic services and visualization, and extensions that provide most higher level functionality. This architecture ensures that the extension mechanism satisfies the demands of outside developers who wish to incorporate new features. Two unusual extensions are presented: Multiscale, which adds the ability to visualize large-scale molecular assemblies such as viral coats, and Collaboratory, which allows researchers to share a Chimera session interactively despite being at separate locales. Other extensions include Multalign Viewer, for showing multiple sequence alignments and associated structures; ViewDock, for screening docked ligand orientations; Movie, for replaying molecular dynamics trajectories; and Volume Viewer, for display and analysis of volumetric data. A discussion of the usage of Chimera in real-world situations is given, along with anticipated future directions. Chimera includes full user documentation, is free to academic and nonprofit users, and is available for Microsoft Windows, Linux, Apple Mac OS X, SGI IRIX, and HP Tru64 Unix from http://www.cgl.ucsf.edu/chimera/. Copyright 2004 Wiley Periodicals, Inc.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: Project administrationRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: Funding acquisitionRole: InvestigationRole: MethodologyRole: Writing – review & editing
                Role: Data curationRole: InvestigationRole: VisualizationRole: Writing – review & editing
                Role: Data curationRole: InvestigationRole: MethodologyRole: ValidationRole: VisualizationRole: Writing – review & editing
                Role: MethodologyRole: Writing – review & editing
                Role: ResourcesRole: Writing – review & editing
                Role: InvestigationRole: Writing – review & editing
                Role: InvestigationRole: Writing – review & editing
                Role: Investigation
                Role: Methodology
                Role: Methodology
                Role: Investigation
                Role: Funding acquisitionRole: MethodologyRole: Resources
                Role: Funding acquisitionRole: Writing – original draftRole: Writing – review & editing
                Role: Funding acquisitionRole: MethodologyRole: Resources
                Role: Funding acquisitionRole: MethodologyRole: Resources
                Role: ConceptualizationRole: ResourcesRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: ResourcesRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: Project administrationRole: ResourcesRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: Project administrationRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS Pathog
                PLoS Pathog
                plos
                PLoS Pathogens
                Public Library of Science (San Francisco, CA USA )
                1553-7366
                1553-7374
                17 September 2021
                September 2021
                : 17
                : 9
                : e1009929
                Affiliations
                [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
                Author notes

                The authors have declared that no competing interests exist.

                [¤]

                Current address: Institut für Medizinische Virologie, Zurich, Switzerland

                Author information
                https://orcid.org/0000-0003-3085-9994
                https://orcid.org/0000-0002-3389-4325
                https://orcid.org/0000-0003-4919-4697
                https://orcid.org/0000-0003-3291-1397
                https://orcid.org/0000-0001-5470-1505
                https://orcid.org/0000-0003-0972-6214
                https://orcid.org/0000-0002-7234-5871
                https://orcid.org/0000-0001-8429-8374
                https://orcid.org/0000-0001-7169-9080
                https://orcid.org/0000-0001-8912-3266
                https://orcid.org/0000-0002-6065-0895
                https://orcid.org/0000-0003-4600-2047
                https://orcid.org/0000-0003-1482-0889
                https://orcid.org/0000-0001-7007-4070
                https://orcid.org/0000-0001-6275-2740
                Article
                PPATHOGENS-D-21-00714
                10.1371/journal.ppat.1009929
                8496873
                34534263
                c2a0778a-cf2d-42ab-98b4-d75d6ad2622e
                © 2021 Szemiel et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 2 April 2021
                : 30 August 2021
                Page count
                Figures: 4, Tables: 0, Pages: 24
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/501100000265, Medical Research Council;
                Award ID: MC_UU_12014/8
                Funded by: funder-id http://dx.doi.org/10.13039/501100000265, Medical Research Council;
                Award ID: MC_UU12014/2
                Funded by: medical research council
                Award ID: MC_UU_12014/12
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100008530, european regional development fund;
                Award ID: 2014-2020.4.01.15-013
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100008530, european regional development fund;
                Award ID: 2014-2020.4.01.15-013
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100000268, biotechnology and biological sciences research council;
                Award ID: BB/R019843/1
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/100010661, horizon 2020 framework programme;
                Award ID: H2020-EU.3.2.1.1
                Award Recipient :
                This work was supported by the UK Medical Research Council (MC_UU_12014/8, MC_UU12014/2 and MC_UU_12014/12). RJO was funded by MC_UU_12014/12, AM & SW were funded by European Regional Development Fund, Centre of Excellence in Molecular Cell Engineering, Estonia (2014-2020.4.01.15-013), AMS was funded by UKRI/DHSC (BB/R019843/1) and MES by European Commission Horizon2020 (H2020-EU.3.2.1.1). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
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                2021-10-07
                SARS-CoV-2Engl2 was supplied under a MTA between The University of Glasgow and Public Health England. Consensus sequences and raw FASTQ files have been uploaded to GenBank under BioProject number PRJNA692078. We used the publicly available CoV-Glue database ( http://cov-glue.cvr.gla.ac.uk/#/home) to examine for replacements at specific sites observed in the GISAID hCoV-19 sequences. All relevant data within the manuscript and its supporting information are available on Enlighten: Research Data ( doi.org/10.5525/gla.researchdata.1184).
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