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CRISPR-cas12a-based detection of SARS-CoV-2 harboring the E484K mutation

Authors: Marqués, M. Carmen; Ruiz, Raúl; Montagud-Martínez, Roser;

CRISPR-cas12a-based detection of SARS-CoV-2 harboring the E484K mutation

Abstract

The novel respiratory virus SARS-CoV-2 is rapidly evolving across the world with the potential of increasing its transmission and the induced disease. Here, we applied the CRISPR-Cas12a system to detect, without the need of sequencing, SARS-CoV-2 genomes harboring the E484K mutation, first identified in the Beta variant and catalogued as an escape mutation. The E484K mutation creates a canonical protospacer adjacent motif for Cas12a recognition in the resulting DNA amplicon, which was exploited to obtain a differential readout. We analyzed a series of fecal samples from hospitalized patients in Valencia (Spain), finding one infection with SARS-CoV-2 harboring the E484K mutation, which was then confirmed by sequencing. Overall, these results suggest that CRISPR diagnostics can be a useful tool in epidemiology to monitor the spread of escape mutations

This work was supported by the Fondo Supera COVID-19 from CRUE and Banco Santander (Grant COVCRISPIS, BOE-A-2020-7995, to GR), the CSIC PTI Salud Global (Grant SGL2021-03-040, to GR, and Grants 202020E292 and SGL2103034, to PDC) through the European Union−NextGeneration EU, the Fondo COVID-19 from the Instituto de Salud Carlos III (Grant COV20/00210, to PDC), and the Generalitat Valenciana (Grant SEJI/2020/ 011, to GR). PDC was supported by the Ramón y Cajal program (RYC2019-028015-I) and RMC by a predoctoral fellowship (PRE2019-088531), both from the Spanish Ministerio de Ciencia e Innovación.

Peer reviewed

Keywords

Epidemiological surveillance, CRISPR diagnostics, Virus evolution

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
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