Detecting SARS-CoV-2 variants with SNP genotyping.
Detecting SARS-CoV-2 variants with SNP genotyping.
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DOI:
10.1371/journal.pone.0243185
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发表时间:
2021
期刊:
影响因子:
3.7
通讯作者:
Barker G
中科院分区:
文献类型:
--
作者:
Harper H;Burridge A;Winfield M;Finn A;Davidson A;Matthews D;Hutchings S;Vipond B;Jain N;COVID-19 Genomics UK (COG-UK) Consortium;Edwards K;Barker G
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.
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影响因子:
3.9
作者:
Argimón S;Abudahab K;Goater RJE;Fedosejev A;Bhai J;Glasner C;Feil EJ;Holden MTG;Yeats CA;Grundmann H;Spratt BG;Aanensen DM
通讯作者:
Aanensen DM
影响因子:
9.4
作者:
BOOM, R;SOL, CJA;VANDERNOORDAA, J
通讯作者:
VANDERNOORDAA, J
DOI:
10.1016/s2666-5247(20)30054-9
发表时间:
2020-07-01
期刊:
The Lancet. Microbe
影响因子:
--
作者:
通讯作者:
--
影响因子:
5.8
作者:
Hadfield, James;Megill, Colin;Neher, Richard A.
通讯作者:
Neher, Richard A.
影响因子:
4.9
作者:
Elbe, Stefan;Buckland-Merrett, Gemma
通讯作者:
Buckland-Merrett, Gemma