TY - JOUR
T1 - Detecting SARS-CoV-2 variants with SNP genotyping
AU - Harper, Helen
AU - Burridge, Amanda
AU - Winfield, Mark
AU - Finn, Adam
AU - Davidson, Andrew
AU - Matthews, David
AU - Hutchings, Stephanie
AU - Vipond, Barry
AU - Jain, Nisha
AU - The COVID-19 Genomics UK (COG-UK) Consortium
AU - Allan, John
AU - Bashton, Matthew
AU - Loh, Joshua
AU - Nelson, Andrew
AU - Smith, Darren L.
AU - Yew, Wen C.
AU - Young, Gregory R.
AU - Edwards, Keith
AU - Barker, Gary
N1 - This work was supported by the Elizabeth Blackwell Institute, University of Bristol and the Wellcome Trust Institutional Strategic Support Fund (www.bristol.ac.uk/blackwell/funding/covid-19/). Grant number:204813/Z/16/Z.
PY - 2021/2/24
Y1 - 2021/2/24
N2 - 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 SARSCoV-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.
AB - 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 SARSCoV-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.
UR - http://www.scopus.com/inward/record.url?scp=85102095472&partnerID=8YFLogxK
U2 - 10.1371/journal.pone.0243185
DO - 10.1371/journal.pone.0243185
M3 - Article
C2 - 33626040
AN - SCOPUS:85102095472
SN - 1932-6203
VL - 16
SP - 1
EP - 12
JO - PLoS One
JF - PLoS One
IS - 2
M1 - e0243185
ER -