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Enabling accurate and early detection of recently emerged SARS-CoV-2 variants of concern in wastewater.

Authors :
Sapoval, Nicolae
Liu, Yunxi
Lou, Esther G.
Hopkins, Loren
Ensor, Katherine B.
Schneider, Rebecca
Stadler, Lauren B.
Treangen, Todd J.
Source :
Nature Communications; 5/17/2023, Vol. 14 Issue 1, p1-7, 7p
Publication Year :
2023

Abstract

As clinical testing declines, wastewater monitoring can provide crucial surveillance on the emergence of SARS-CoV-2 variant of concerns (VoCs) in communities. In this paper we present QuaID, a novel bioinformatics tool for VoC detection based on quasi-unique mutations. The benefits of QuaID are three-fold: (i) provides up to 3-week earlier VoC detection, (ii) accurate VoC detection (>95% precision on simulated benchmarks), and (iii) leverages all mutational signatures (including insertions & deletions). Sapoval et al. introduce QuaID, a bioinformatics tool for SARS-CoV-2 variant detection based on quasi-unique mutations. QuaID leverages all mutations, including insertions and deletions, and provides precise detection of variants early in their spread. [ABSTRACT FROM AUTHOR]

Subjects

Subjects :
SARS-CoV-2
SEWAGE
COMMUNITIES

Details

Language :
English
ISSN :
20411723
Volume :
14
Issue :
1
Database :
Complementary Index
Journal :
Nature Communications
Publication Type :
Academic Journal
Accession number :
163760731
Full Text :
https://doi.org/10.1038/s41467-023-38184-3