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Tracking cryptic SARS-CoV-2 lineages detected in NYC wastewater.
- Source :
-
Nature communications [Nat Commun] 2022 Feb 03; Vol. 13 (1), pp. 635. Date of Electronic Publication: 2022 Feb 03. - Publication Year :
- 2022
-
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.<br /> (© 2022. The Author(s).)
- Subjects :
- Adult
Aged
Animals
Antibodies, Monoclonal immunology
Antibodies, Neutralizing immunology
Antibodies, Viral immunology
COVID-19 virology
Female
Genetic Variation
High-Throughput Nucleotide Sequencing
Humans
Male
Mice
Middle Aged
Mutation
New York City
Protein Binding
Rats
Spike Glycoprotein, Coronavirus immunology
Young Adult
SARS-CoV-2 genetics
SARS-CoV-2 isolation & purification
Wastewater virology
Water Microbiology
Subjects
Details
- Language :
- English
- ISSN :
- 2041-1723
- Volume :
- 13
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Nature communications
- Publication Type :
- Academic Journal
- Accession number :
- 35115523
- Full Text :
- https://doi.org/10.1038/s41467-022-28246-3