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用于检测比利时流入污水中新冠病毒变异株的多重数字PCR检测方法的优化与应用

Optimization and Application of a Multiplex Digital PCR Assay for the Detection of SARS-CoV-2 Variants of Concern in Belgian Influent Wastewater.

作者信息

Boogaerts Tim, Van den Bogaert Siel, Van Poelvoorde Laura A E, El Masri Diala, De Roeck Naomi, Roosens Nancy H C, Lesenfants Marie, Lahousse Lies, Van Hoorde Koenraad, van Nuijs Alexander L N, Delputte Peter

机构信息

Toxicological Centre, University of Antwerp, Universiteitsplein 1, 2610 Antwerp, Belgium.

Laboratory for Microbiology, Parasitology and Hygiene, University of Antwerp, Universiteitsplein 1, 2610 Antwerp, Belgium.

出版信息

Viruses. 2022 Mar 15;14(3):610. doi: 10.3390/v14030610.

DOI:10.3390/v14030610
PMID:35337017
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8953730/
Abstract

Since the beginning of the COVID-19 pandemic, the wastewater-based epidemiology (WBE) of SARS-CoV-2 has been used as a complementary indicator to follow up on the trends in the COVID-19 spread in Belgium and in many other countries. To further develop the use of WBE, a multiplex digital polymerase chain reaction (dPCR) assay was optimized, validated and applied for the measurement of emerging SARS-CoV-2 variants of concern (VOC) in influent wastewater (IWW) samples. Key mutations were targeted in the different VOC strains, including SΔ69/70 deletion, N501Y, SΔ241 and SΔ157. The presented bioanalytical method was able to distinguish between SARS-CoV-2 RNA originating from the wild-type and B.1.1.7, B.1.351 and B.1.617.2 variants. The dPCR assay proved to be sensitive enough to detect low concentrations of SARS-CoV-2 RNA in IWW since the limit of detection of the different targets ranged between 0.3 and 2.9 copies/µL. This developed WBE approach was applied to IWW samples originating from different Belgian locations and was able to monitor spatio-temporal changes in the presence of targeted VOC strains in the investigated communities. The present dPCR assay developments were realized to bring added-value to the current national WBE of COVID-19 by also having the spatio-temporal proportions of the VoC in presence in the wastewaters.

摘要

自新冠疫情开始以来,基于污水的新冠病毒流行病学(WBE)已被用作一项补充指标,以跟踪比利时和许多其他国家新冠病毒传播的趋势。为了进一步拓展WBE的应用,一种多重数字聚合酶链反应(dPCR)检测方法得到了优化、验证,并应用于测量流入污水(IWW)样本中出现的新冠病毒变异株(VOC)。针对不同的VOC毒株,对关键突变进行了靶向检测,包括SΔ69/70缺失、N501Y、SΔ241和SΔ157。所提出的生物分析方法能够区分源自野生型以及B.1.1.7、B.1.351和B.1.617.2变异株的新冠病毒RNA。dPCR检测方法被证明具有足够的灵敏度,能够检测IWW中低浓度的新冠病毒RNA,因为不同靶点的检测限在0.3至2.9拷贝/微升之间。这种开发的WBE方法应用于来自比利时不同地点的IWW样本,并能够监测所调查社区中目标VOC毒株存在情况的时空变化。当前dPCR检测方法的发展通过获取废水中存在的VOC的时空比例,为当前国家层面的新冠病毒WBE带来了附加值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b77/8953730/6b96c5d42085/viruses-14-00610-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b77/8953730/844f5e0aee74/viruses-14-00610-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b77/8953730/87d9f3ee9a87/viruses-14-00610-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b77/8953730/4dceadb69b38/viruses-14-00610-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b77/8953730/6b96c5d42085/viruses-14-00610-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b77/8953730/844f5e0aee74/viruses-14-00610-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b77/8953730/87d9f3ee9a87/viruses-14-00610-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b77/8953730/4dceadb69b38/viruses-14-00610-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b77/8953730/6b96c5d42085/viruses-14-00610-g004.jpg

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