Monitoring SARS-CoV-2 variants alterations in Nice neighborhoods by wastewater nanopore sequencing.

alpha variant,beta variant coronaviruses gamma variant variants-of-concern

Journal

The Lancet regional health. Europe
ISSN: 2666-7762
Titre abrégé: Lancet Reg Health Eur
Pays: England
ID NLM: 101777707

Informations de publication

Date de publication:
Nov 2021
Historique:
pubmed: 24 8 2021
medline: 24 8 2021
entrez: 23 8 2021
Statut: ppublish

Résumé

Wastewater surveillance was proposed as an epidemiological tool to define the prevalence and evolution of the SARS-CoV-2 epidemics. However, most implemented SARS-CoV-2 wastewater surveillance projects were based on qPCR measurement of virus titers and did not address the mutational spectrum of SARS-CoV-2 circulating in the population. We have implemented a nanopore RNA sequencing monitoring system in the city of Nice (France, 550,000 inhabitants). Between October 2020 and March 2021, we monthly analyzed the SARS-CoV-2 variants in 113 wastewater samples collected in the main wastewater treatment plant and 20 neighborhoods. We initially detected the lineages predominant in Europe at the end of 2020 (B.1.160, B.1.177, B.1.367, B.1.474, and B.1.221). In January, a localized emergence of a variant (Spike:A522S) of the B.1.1.7 lineage occurred in one neighborhood. It rapidly spread and became dominant all over the city. Other variants of concern (B.1.351, P.1) were also detected in some neighborhoods, but at low frequency. Comparison with individual clinical samples collected during the same week showed that wastewater sequencing correctly identified the same lineages as those found in COVID-19 patients. Wastewater sequencing allowed to document the diversity of SARS-CoV-2 sequences within the different neighborhoods of the city of Nice. Our results illustrate how sequencing of sewage samples can be used to track pathogen sequence diversity in the current pandemics and in future infectious disease outbreaks. For the French translation of the abstract see Supplementary Materials section.

Sections du résumé

BACKGROUND BACKGROUND
Wastewater surveillance was proposed as an epidemiological tool to define the prevalence and evolution of the SARS-CoV-2 epidemics. However, most implemented SARS-CoV-2 wastewater surveillance projects were based on qPCR measurement of virus titers and did not address the mutational spectrum of SARS-CoV-2 circulating in the population.
METHODS METHODS
We have implemented a nanopore RNA sequencing monitoring system in the city of Nice (France, 550,000 inhabitants). Between October 2020 and March 2021, we monthly analyzed the SARS-CoV-2 variants in 113 wastewater samples collected in the main wastewater treatment plant and 20 neighborhoods.
FINDINGS RESULTS
We initially detected the lineages predominant in Europe at the end of 2020 (B.1.160, B.1.177, B.1.367, B.1.474, and B.1.221). In January, a localized emergence of a variant (Spike:A522S) of the B.1.1.7 lineage occurred in one neighborhood. It rapidly spread and became dominant all over the city. Other variants of concern (B.1.351, P.1) were also detected in some neighborhoods, but at low frequency. Comparison with individual clinical samples collected during the same week showed that wastewater sequencing correctly identified the same lineages as those found in COVID-19 patients.
INTERPRETATION CONCLUSIONS
Wastewater sequencing allowed to document the diversity of SARS-CoV-2 sequences within the different neighborhoods of the city of Nice. Our results illustrate how sequencing of sewage samples can be used to track pathogen sequence diversity in the current pandemics and in future infectious disease outbreaks.
TRANSLATION UNASSIGNED
For the French translation of the abstract see Supplementary Materials section.

Identifiants

pubmed: 34423327
doi: 10.1016/j.lanepe.2021.100202
pii: S2666-7762(21)00179-4
pmc: PMC8372489
doi:

Types de publication

Journal Article

Langues

eng

Pagination

100202

Informations de copyright

© 2021 The Author(s).

Déclaration de conflit d'intérêts

The authors have read the journal's policy and have the following competing interests: VL is employed by LBM Bioesterel, a Biogroup company. AL, ES and SL are employed by VEOLIA. There are no patents, products in development or marketed products associated with this research to declare.

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Auteurs

Géraldine Rios (G)

Université Côte d'Azur and CNRS, Institut de Pharmacologie Moléculaire et Cellulaire, F06560 Sophia Antipolis, France.

Caroline Lacoux (C)

Université Côte d'Azur and CNRS, Institut de Pharmacologie Moléculaire et Cellulaire, F06560 Sophia Antipolis, France.

Vianney Leclercq (V)

LBM BIOESTEREL, F06370 Mouans-Sartoux, France.

Anna Diamant (A)

Université Côte d'Azur and CNRS, Institut de Pharmacologie Moléculaire et Cellulaire, F06560 Sophia Antipolis, France.

Kévin Lebrigand (K)

Université Côte d'Azur and CNRS, Institut de Pharmacologie Moléculaire et Cellulaire, F06560 Sophia Antipolis, France.

Adèle Lazuka (A)

Veolia, Scientific & Technological Expertise Department, Chemin de la Digue, F-78600 Maisons-Laffitte, France.

Emmanuel Soyeux (E)

Veolia, Scientific & Technological Expertise Department, Chemin de la Digue, F-78600 Maisons-Laffitte, France.

Sébastien Lacroix (S)

Veolia, Scientific & Technological Expertise Department, Chemin de la Digue, F-78600 Maisons-Laffitte, France.

Julien Fassy (J)

Université Côte d'Azur and CNRS, Institut de Pharmacologie Moléculaire et Cellulaire, F06560 Sophia Antipolis, France.

Aurélie Couesnon (A)

ANSES, Sophia Antipolis Laboratory, F06902 Sophia Antipolis, France.

Richard Thiery (R)

ANSES, Sophia Antipolis Laboratory, F06902 Sophia Antipolis, France.

Bernard Mari (B)

Université Côte d'Azur and CNRS, Institut de Pharmacologie Moléculaire et Cellulaire, F06560 Sophia Antipolis, France.

Christian Pradier (C)

Université Côte d'Azur and Nice University Hospital, Public Health Department, F06560 Nice, France.

Rainer Waldmann (R)

Université Côte d'Azur and CNRS, Institut de Pharmacologie Moléculaire et Cellulaire, F06560 Sophia Antipolis, France.

Pascal Barbry (P)

Université Côte d'Azur and CNRS, Institut de Pharmacologie Moléculaire et Cellulaire, F06560 Sophia Antipolis, France.

Classifications MeSH