SARS-CoV-2 whole-genome sequencing using reverse complement PCR: For easy, fast and accurate outbreak and variant analysis.
SARS-CoV-2 whole-genome sequencing using reverse complement PCR: For easy, fast and accurate outbreak and variant analysis.
复制标题
DOI:
10.1016/j.jcv.2021.104993
复制
发表时间:
2021-11
期刊:
影响因子:
--
通讯作者:
Melchers WJG
中科院分区:
文献类型:
--
作者:
Coolen JPM;Wolters F;Tostmann A;van Groningen LFJ;Bleeker-Rovers CP;Tan ECTH;van der Geest-Blankert N;Hautvast JLA;Hopman J;Wertheim HFL;Rahamat-Langendoen JC;Storch M;Melchers WJG
During the course of the SARS-CoV-2 pandemic reports of mutations with effects on spreading and vaccine effectiveness emerged. Large scale mutation analysis using rapid SARS-CoV-2 Whole Genome Sequencing (WGS) is often unavailable but could support public health organizations and hospitals in monitoring transmission and rising levels of mutant strains. Here we report a novel WGS technique for SARS-CoV-2, the EasySeq™ RC-PCR SARS-CoV-2 WGS kit. By applying a reverse complement polymerase chain reaction (RC-PCR), an Illumina library preparation is obtained in a single PCR, thereby saving time, resources and facilitating high-throughput screening. Using this WGS technique, we evaluated SARS-CoV-2 diversity and possible transmission within a group of 173 patients and healthcare workers (HCW) of the Radboud university medical center during 2020. Due to the emergence of variants of concern, we screened SARS-CoV-2 positive samples in 2021 for identification of mutations and lineages. With use of EasySeq™ RC-PCR SARS-CoV-2 WGS kit we were able to obtain reliable results to confirm outbreak clusters and additionally identify new previously unassociated links in a considerably easier workaround compared to current methods. Furthermore, various SARS-CoV-2 variants of interest were detected among samples and validated against an Oxford Nanopore sequencing amplicon strategy which illustrates this technique is suitable for surveillance and monitoring current circulating variants.
登录
查看更多内容
DOI:
10.1093/bioinformatics/btq224
发表时间:
2010-08-01
期刊:
Bioinformatics (Oxford, England)
影响因子:
--
作者:
Katoh K;Toh H
通讯作者:
Toh H
影响因子:
1.2
作者:
Cingolani, Pablo;Platts, Adrian;Ruden, Douglas M.
通讯作者:
Ruden, Douglas M.
影响因子:
3.5
作者:
Pillay, Sureshnee;Giandhari, Jennifer;de Oliveira, Tulio
通讯作者:
de Oliveira, Tulio
影响因子:
5.8
作者:
Dona, Malathi S. I.;Prendergast, Luke A.;Salim, Agus
通讯作者:
Salim, Agus
DOI:
10.1016/s1473-3099(20)30562-4
发表时间:
2020-11
期刊:
The Lancet. Infectious diseases
影响因子:
--
作者:
Meredith LW;Hamilton WL;Warne B;Houldcroft CJ;Hosmillo M;Jahun AS;Curran MD;Parmar S;Caller LG;Caddy SL;Khokhar FA;Yakovleva A;Hall G;Feltwell T;Forrest S;Sridhar S;Weekes MP;Baker S;Brown N;Moore E;Popay A;Roddick I;Reacher M;Gouliouris T;Peacock SJ;Dougan G;Török ME;Goodfellow I
通讯作者:
Goodfellow I