Evidence map›Paper›PMID 34451505›Full record

ArticlePathogens (Basel, Switzerland)2021

Monitoring the Circulation of SARS-CoV-2 Variants by Genomic Analysis of Wastewater in Marseille, South-East France.

Nathalie Wurtz, Océane Revol, Priscilla Jardot, Audrey Giraud-Gatineau, Linda Houhamdi, Christophe Soumagnac, Alexandre Annessi, Alexandre Lacoste, Philippe Colson, Sarah Aherfi and 1 more

Open access · goldAbstract read
In one paragraph

Article in Pathogens (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.0field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 34 citations in OpenAlex.

  1. Review
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  9. Structured Ethical Review for Wastewater-Based Testing.medRxiv : the preprint server for health sciences · 2023
    Article
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  15. Wastewater research and surveillance: an ethical exploration.Environmental science : water research & technology · 2022
    Review
  16. Wastewater Sequencing-An Innovative Method for Variant Monitoring of SARS-CoV-2 in Populations.International journal of environmental research and public health · 2022
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 1 institution in 1 country.

Nathalie WurtzMicrobes, Evolution, Phylogeny and Infection (MEPHI), UM63, Institut de Recherche pour le Développement (IRD), Aix-Marseille University, 13005 Marseille, France.
Océane RevolMicrobes, Evolution, Phylogeny and Infection (MEPHI), UM63, Institut de Recherche pour le Développement (IRD), Aix-Marseille University, 13005 Marseille, France.
Priscilla JardotAssistance Publique-Hôpitaux de Marseille (AP-HM), Aix-Marseille University, 13005 Marseille, France.
Audrey Giraud-GatineauMicrobes, Evolution, Phylogeny and Infection (MEPHI), UM63, Institut de Recherche pour le Développement (IRD), Aix-Marseille University, 13005 Marseille, France.
Linda HouhamdiAssistance Publique-Hôpitaux de Marseille (AP-HM), Aix-Marseille University, 13005 Marseille, France.
Christophe SoumagnacBataillon de Marins-Pompiers de Marseille, 13003 Marseille, France.
Alexandre AnnessiBataillon de Marins-Pompiers de Marseille, 13003 Marseille, France.
Alexandre LacosteBataillon de Marins-Pompiers de Marseille, 13003 Marseille, France.
Philippe ColsonMicrobes, Evolution, Phylogeny and Infection (MEPHI), UM63, Institut de Recherche pour le Développement (IRD), Aix-Marseille University, 13005 Marseille, France.ORCID 0000-0001-6285-0308
Sarah AherfiMicrobes, Evolution, Phylogeny and Infection (MEPHI), UM63, Institut de Recherche pour le Développement (IRD), Aix-Marseille University, 13005 Marseille, France.
Bernard La ScolaMicrobes, Evolution, Phylogeny and Infection (MEPHI), UM63, Institut de Recherche pour le Développement (IRD), Aix-Marseille University, 13005 Marseille, France.ORCID 0000-0001-8006-7704
Aix-Marseille Université · FR

Funding

French Government - national research agency ANR-10-IAHU-03
6 · The paper itself

Abstract

The monitoring of SARS-CoV-2 RNA in sewage has been proposed as a simple and unbiased means of assessing epidemic evolution and the efficiency of the COVID-19 control measures. The past year has been marked by the emergence of variants that have led to a succession of epidemic waves. It thus appears that monitoring the presence of SARS-CoV-2 in wastewater alone is insufficient, and it may be important in the future to also monitor the evolution of these variants. We used a real-time RT-PCR screening test for variants in the wastewater of our city to assess the effectiveness of direct SARS-CoV-2 sequencing from the same wastewater. We compared the genome sequencing results obtained over the large RS network and the smaller B7 network with the different distributions of the variants observed by RT-PCR screening. The prevalence of the "UK variant" in the RS and B7 networks was estimated to be 70% and 8% using RT-PCR screening compared to 95% and 64% using genome sequencing, respectively. The latter values were close to the epidemiology observed in patients of the corresponding area, which were 91% and 58%, respectively. Genome sequencing in sewage identified SARS-CoV-2 of lineage B.1.525 in B7 at 27% (37% in patients), whereas it was completely missed by RT-PCR. We thus determined that direct sequencing makes it possible to observe, in wastewater, a distribution of the variants comparable to that revealed by genomic monitoring in patients and that this method is more accurate than RT-PCR. It also shows that, rather than a single large sample, it would be preferable to analyse several targeted samples if we want to more appropriately assess the geographical distribution of the different variants. In conclusion, this work supports the wider surveillance of SARS-CoV-2 variants in wastewater by genome sequencing and targeting small areas on the condition of having a sequencing capacity and, when this is not the case, to developing more precise screening tests based on the multiplexed detection of the mutations of interest.

Indexed as

COVID-19next-generation sequencingSARS-CoV-2sewagevariantswastewater

Identifiers

PMID34451505
PMCPMC8401729
OpenAlexW3194943557

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.