Optimization and Application of a Multiplex Digital PCR Assay for the Detection of SARS-CoV-2 Variants of Concern in Belgian Influent Wastewater.
Belgium
SARS-CoV-2
digital polymerase chain reaction
variants of concern
wastewater-based epidemiology
Journal
Viruses
ISSN: 1999-4915
Titre abrégé: Viruses
Pays: Switzerland
ID NLM: 101509722
Informations de publication
Date de publication:
15 03 2022
15 03 2022
Historique:
received:
08
02
2022
revised:
24
02
2022
accepted:
11
03
2022
entrez:
26
3
2022
pubmed:
27
3
2022
medline:
1
4
2022
Statut:
epublish
Résumé
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.
Identifiants
pubmed: 35337017
pii: v14030610
doi: 10.3390/v14030610
pmc: PMC8953730
pii:
doi:
Substances chimiques
RNA, Viral
0
Waste Water
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : Research Council (BOF) of the University of Antwerp
ID : FFB200184
Organisme : Sciensano - COVID-19 nationale surveillance in afvalwater.
ID : 44055
Organisme : Sciensano - Early detection of SARS-CoV-2 infections
ID : 43157
Organisme : Sciensano project COVIPRIM-VAR
ID : 1913
Organisme : Agency of Care and Health
ID : GE0-1GPFZJA-WT
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