Spike Protein Cleavage-Activation Mediated by the SARS-CoV-2 P681R Mutation: A Case-Study From Its First Appearance in Variant of Interest (VOI) A.23.1 Identified in Uganda (preprint)

The African continent like all other parts of the world with high infection/low vaccination rates can, and will, be a source of novel SARS-CoV-2 variants. The A.23 viral lineage, characterized by three spike mutations F157L, V367F and Q613H, was first identified in COVID-19 cases from a Ugandan prison in July 2020, and then was identified in the general population with the additional spike mutation P681R at the S1/S2 cleavage site to comprise lineage A.23.1 by September 2020 with subsequent spread to 26 other countries. The P681R spike substitution of A.23.1 is of note as it increases the number of basic residues in the sub-optimal SARS-CoV-2 spike protein furin cleavage site; as such, this substitution may affect viral replication, transmissibility, or pathogenic properties. The same P681R substitution has also subsequently appeared in B.1.617 variants, including B.1.617.2 (Delta). Here, we performed assays using fluorogenic peptides mimicking the S1/S2 from A.23.1 and B.1.617 and observed significantly increased cleavability with furin, compared to sequences derived from the original Wuhan-Hu1 S1/S2. We performed cell-cell fusion and functional infectivity assays using pseudotyped particles harboring SARS-CoV-2 spike proteins and observed an increase in transduction for A.23.1-pseudotyped particles compared to Wuhan-Hu-1. However, these changes in activity were not reproduced in the original Wuhan-Hu-1 spike bearing only the P681R substitution. Our findings suggest that while A.23.1 has increased furin-mediated cleavage linked to the P681R substitution—which may affect viral infection and transmissibility—this substitution alone needs to occur on the background of other spike protein changes to enable its full functional consequences.Funding: This work was funded in part by the National Institute of Health research grant R01AI35270 (to GW and SD). We thank the global SARS-CoV-2 sequencing groups for their open and rapid sharing of sequence data and GISAID for providing an effective platform to make these data available. DLB, MVTP and MC were funded by the UK Medical Research Council (MRC/UK Research and Innovation) and the UK Department for International Development (DFID) under the MRC/DFID Concordat agreement (grant agreement no. NC_PC_19060) and Wellcome Trust, UK FCDO—Wellcome Epidemic Preparedness—Coronavirus (grant agreement no. 220977/Z/20/Z). TT was supported by the National Science Foundation Graduate Research Fellowship Program under Grant No. DGE-1650441 and the Samuel C. Fleming Family Graduate Fellowship. Declaration of Interests: The authors manifest no conflict of interest.

A SARS-CoV-2 lineage A variant (A.23.1) with altered spike has emerged and is dominating the current Uganda epidemic (preprint)

The Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) was first detected in March 2020 in Uganda. Recently the epidemic showed a shift of SARS-CoV-2 variant distribution and we report here newly emerging A sub-lineages, A.23 and A.23.1, encoding replacements in the spike protein, nsp6, ORF8 and ORF9, with A.23.1 the major virus lineage now observed in Kampala. Although the clinical impact of the A.23.1 variant is not yet clear it is essential to continue careful monitoring of this variant, as well as rapid assessment of the consequences of the spike protein changes for vaccine efficacy.

Alternate primers for whole-genome SARS-CoV-2 sequencing (preprint)

As the world is struggling to control the novel Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), there is an urgency to develop effective control measures. Essential information is encoded in the virus genome sequence with accurate and complete SARS-CoV-2 sequences essential for tracking the movement and evolution of the virus and for guiding efforts to develop vaccines and antiviral drugs. While there is unprecedented SARS-CoV-2 sequencing efforts globally, approximately 19 to 43% of the genomes generated monthly are gapped, reducing their information content. The current study documents the genome gap frequencies and their positions in the currently available data and provides an alternative primer set and a sequencing scheme to help improve the quality and coverage of the genomes.