Sequencing of SARS-CoV-2 RNA Fragments in Wastewater Detects the Spread of New Variants during Major Events.

COVID-19 pandemic SARS-CoV-2 amplicon sequencing epidemiological surveillance relative prevalence variant mapping wastewater

Journal

Microorganisms
ISSN: 2076-2607
Titre abrégé: Microorganisms
Pays: Switzerland
ID NLM: 101625893

Informations de publication

Date de publication:
30 Oct 2023
Historique:
received: 06 09 2023
revised: 25 10 2023
accepted: 26 10 2023
medline: 25 11 2023
pubmed: 25 11 2023
entrez: 25 11 2023
Statut: epublish

Résumé

The sequencing of SARS-CoV-2 RNA in wastewater is an unbiased method to detect the spread of emerging variants and to track regional infection dynamics, which is especially useful in case of limited testing and clinical sequencing. To test how major international events influence the spread of new variants we have sequenced SARS-CoV-2 RNA in the wastewater samples of Davos, Landquart, Lostallo, and St. Moritz in the Swiss canton of Grisons in the time around the international sports competitions in Davos and St. Moritz in December 2021, and additionally in May 2022 and January 2023 in Davos and St. Moritz during the World Economic Forum (WEF) in Davos. The prevalence of the variants identified from the wastewater sequencing data showed that the Omicron variant BA.1 had spread in Davos and St. Moritz during the international sporting events hosted there in December 2021. This spread was associated with an increase in case numbers, while it was not observed in Landquart and Lostallo. Another instance of new variant spread occurred during the WEF in January 2023, when the Omicron variant BA.2.75 arrived in Davos but not in St. Moritz. We can therefore conclude that major international events promote the spread of new variants in the respective host region, which has important implications for the protective measures that should be taken.

Identifiants

pubmed: 38004672
pii: microorganisms11112660
doi: 10.3390/microorganisms11112660
pmc: PMC10672834
pii:
doi:

Types de publication

Journal Article

Langues

eng

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Auteurs

Damir Zhakparov (D)

Swiss Institute of Allergy and Asthma Research (SIAF), University of Zurich, 7265 Davos, Switzerland.
Swiss Institute of Bioinformatics (SIB), 1005 Lausanne, Switzerland.

Yves Quirin (Y)

Cantonal Office for Nature and Environment, 7000 Chur, Switzerland.

Yi Xiao (Y)

Swiss Institute of Allergy and Asthma Research (SIAF), University of Zurich, 7265 Davos, Switzerland.
Swiss Institute of Bioinformatics (SIB), 1005 Lausanne, Switzerland.

Nicole Battaglia (N)

Cantonal Office for Food Security and Animal Health, 7000 Chur, Switzerland.

Michael Holzer (M)

Cantonal Office for Nature and Environment, 7000 Chur, Switzerland.

Martin Bühler (M)

Cantonal Office for Military and Civil Protection, 7000 Chur, Switzerland.

Walter Kistler (W)

Hospital Davos, 7270 Davos, Switzerland.

Doortje Engel (D)

Cantonal Office for Health, 7000 Chur, Switzerland.

Jon Paulin Zumthor (JP)

Cantonal Office for Food Security and Animal Health, 7000 Chur, Switzerland.

Alexa Caduff (A)

Cantonal Office for Military and Civil Protection, 7000 Chur, Switzerland.

Katja Baerenfaller (K)

Swiss Institute of Allergy and Asthma Research (SIAF), University of Zurich, 7265 Davos, Switzerland.
Swiss Institute of Bioinformatics (SIB), 1005 Lausanne, Switzerland.

Classifications MeSH