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Abstract
Tracking SARS-CoV-2 genetic diversity is strongly indicated because diversifying selection may lead to the emergence of novel variants resistant to naturally acquired or vaccine-induced immunity. To monitor New York City (NYC) for the presence of novel variants, we deep sequence most of the receptor binding domain coding sequence of the S protein of SARS-CoV-2 isolated from the New York City wastewater. Here we report detecting increasing frequencies of novel cryptic SARS-CoV-2 lineages not recognized in GISAID’s EpiCoV database. These lineages contain mutations that had been rarely observed in clinical samples, including Q493K, Q498Y, E484A, and T572N and share many mutations with the Omicron variant of concern. Some of these mutations expand the tropism of SARS-CoV-2 pseudoviruses by allowing infection of cells expressing the human, mouse, or rat ACE2 receptor. Finally, pseudoviruses containing the spike amino acid sequence of these lineages were resistant to different classes of receptor binding domain neutralizing monoclonal antibodies. We offer several hypotheses for the anomalous presence of these lineages, including the possibility that these lineages are derived from unsampled human COVID-19 infections or that they indicate the presence of a non-human animal reservoir.
To monitor the presence of novel SARS-CoV-2 variants in New York City, Smyth et al. perform deep-sequencing of the receptor binding domain of S protein in wastewater samples and find novel cryptic lineages containing mutations affecting ACE2-tropism and showing decreased neutralization by antibodies.
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1 Texas A&M University-San Antonio, Department of Life Sciences, San Antonio, USA (GRID:grid.469272.c) (ISNI:0000 0001 0180 5693)
2 Queensborough Community College of The City University of New York, Department of Biological Sciences and Geology, Queens, USA (GRID:grid.262276.5) (ISNI:0000 0001 2230 6367)
3 University of Missouri-School of Medicine, Department of Molecular Microbiology and Immunology, Columbia, USA (GRID:grid.134936.a) (ISNI:0000 0001 2162 3504)
4 Queens College and The Graduate Center of The City University of New York, Biology Department, Queens, USA (GRID:grid.253482.a) (ISNI:0000 0001 0170 7903)
5 Long Island University–Post, Greenvale, Department of Biological & Environmental Sciences, New York, USA (GRID:grid.259180.7) (ISNI:0000 0001 2298 1899)