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Detecting SARS-CoV-2 variants with SNP genotyping.

Authors :
Harper H
Burridge A
Winfield M
Finn A
Davidson A
Matthews D
Hutchings S
Vipond B
Jain N
Edwards K
Barker G
Source :
PloS one [PLoS One] 2021 Feb 24; Vol. 16 (2), pp. e0243185. Date of Electronic Publication: 2021 Feb 24 (Print Publication: 2021).
Publication Year :
2021

Abstract

Tracking genetic variations from positive SARS-CoV-2 samples yields crucial information about the number of variants circulating in an outbreak and the possible lines of transmission but sequencing every positive SARS-CoV-2 sample would be prohibitively costly for population-scale test and trace operations. Genotyping is a rapid, high-throughput and low-cost alternative for screening positive SARS-CoV-2 samples in many settings. We have designed a SNP identification pipeline to identify genetic variation using sequenced SARS-CoV-2 samples. Our pipeline identifies a minimal marker panel that can define distinct genotypes. To evaluate the system, we developed a genotyping panel to detect variants-identified from SARS-CoV-2 sequences surveyed between March and May 2020 and tested this on 50 stored qRT-PCR positive SARS-CoV-2 clinical samples that had been collected across the South West of the UK in April 2020. The 50 samples split into 15 distinct genotypes and there was a 61.9% probability that any two randomly chosen samples from our set of 50 would have a distinct genotype. In a high throughput laboratory, qRT-PCR positive samples pooled into 384-well plates could be screened with a marker panel at a cost of < £1.50 per sample. Our results demonstrate the usefulness of a SNP genotyping panel to provide a rapid, cost-effective, and reliable way to monitor SARS-CoV-2 variants circulating in an outbreak. Our analysis pipeline is publicly available and will allow for marker panels to be updated periodically as viral genotypes arise or disappear from circulation.<br />Competing Interests: Co-author, Nisha Jain, is the Operations Director for 3CR Bioscience Limited. This does not alter our adherence to PLOS ONE policies on sharing data and materials. All remaining authors have declared that no competing interests exist.

Details

Language :
English
ISSN :
1932-6203
Volume :
16
Issue :
2
Database :
MEDLINE
Journal :
PloS one
Publication Type :
Academic Journal
Accession number :
33626040
Full Text :
https://doi.org/10.1371/journal.pone.0243185