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Dataset Information

Multiplex Fragment Analysis for Flexible Detection of All SARS-CoV-2 Variants of Concern.


ABSTRACT:

Background

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants continue to emerge, and effective tracking requires rapid return of results. Surveillance of variants is typically performed by whole genome sequencing (WGS), which can be financially prohibitive and requires specialized equipment and bioinformatic expertise. Genotyping approaches are rapid methods for monitoring SARS-CoV-2 variants but require continuous adaptation. Fragment analysis may represent an approach for improved SARS-CoV-2 variant detection.

Methods

A multiplex fragment analysis approach (CoVarScan) was validated using PCR targeting variants by size and fluorescent color. Eight SARS-CoV-2 mutational hot spots in variants of concern (VOCs) were targeted. Three primer pairs (recurrently

SUBMITTER: Clark AE 

PROVIDER: S-EPMC9384161 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature