학술논문
VarLOCK: sequencing-independent, rapid detection of SARS-CoV-2 variants of concern for point-of-care testing, qPCR pipelines and national wastewater surveillance
Document Type
Original Paper
Author
Nan, Xinsheng; Hardinge, Patrick; Hoehn, Sven; Dighe, Shrinivas Nivrutti; Ukeri, John; Pease, Darius F.; Griffin, Joshua; Warrington, Jessica I.; Saud, Zack; Hottinger, Emma; Webster, Gordon; Jones, Davey; Kille, Peter; Weightman, Andrew; Stanton, Richard; Castell, Oliver K.; Murray, James A. H.; Jurkowski, Tomasz P.
Source
Scientific Reports. 13(1)
Subject
Language
English
ISSN
2045-2322
Abstract
The COVID-19 pandemic demonstrated the need for rapid molecular diagnostics. Vaccination programs can provide protection and facilitate the opening of society, but newly emergent and existing viral variants capable of evading the immune system endanger their efficacy. Effective surveillance for Variants of Concern (VOC) is therefore important. Rapid and specific molecular diagnostics can provide speed and coverage advantages compared to genomic sequencing alone, benefitting the public health response and facilitating VOC containment. Here we expand the recently developed SARS-CoV-2 CRISPR-Cas detection technology (SHERLOCK) to provide rapid and sensitive discrimination of SARS-CoV-2 VOCs that can be used at point of care, implemented in the pipelines of small or large testing facilities, and even determine the proportion of VOCs in pooled population-level wastewater samples. This technology complements sequencing efforts to allow facile and rapid identification of individuals infected with VOCs to help break infection chains. We show the optimisation of our VarLOCK assays (Variant-specific SHERLOCK) for multiple specific mutations in the S gene of SARS-CoV-2 and validation with samples from the Cardiff University Testing Service. We also show the applicability of VarLOCK to national wastewater surveillance of SARS-CoV-2 variants and the rapid adaptability of the technique for new and emerging VOCs.