Evidence map›Paper›PMID 34624574›Full record

ArticleJournal of environmental management2022

First evidence of SARS-CoV-2 genome detection in zebra mussel (Dreissena polymorpha).

Antoine Le Guernic, Mélissa Palos Ladeiro, Nicolas Boudaud, Julie Do Nascimento, Christophe Gantzer, Jean-Christophe Inglard, Jean-Marie Mouchel, Cécile Pochet, Laurent Moulin, Vincent Rocher and 3 more

Open access · bronzeAbstract read
In one paragraph

Article in Journal of environmental management, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.3field-weighted citation impact, top 17% 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

10 citing papers in PubMed, 22 citations in OpenAlex.

  1. Comparison of two sentinel speciesMicrobiology spectrum · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Review
  9. Review
  10. Article
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

13 authors at 6 institutions in 1 country.

Antoine Le GuernicUniversité de Reims Champagne-Ardenne, UMR-I02 SEBIO, Moulin de la Housse, BP1039, 51687, Reims, France. Electronic address: antoine.le-guernic@univ-reims.fr.
Mélissa Palos LadeiroUniversité de Reims Champagne-Ardenne, UMR-I02 SEBIO, Moulin de la Housse, BP1039, 51687, Reims, France.
Nicolas BoudaudFood Safety Department, Actalia, Saint-Lô, F-50000, France.
Julie Do NascimentoUniversité de Reims Champagne-Ardenne, UMR-I02 SEBIO, Moulin de la Housse, BP1039, 51687, Reims, France.
Christophe GantzerUniversité de Lorraine, LCPME, Laboratoire de Chimie Physique et Microbiologie pour l'Environnement, UMR 7564, Institut Jean Barriol, Faculté des Sciences et Technologies, Vandœuvre-lès-Nancy, F-54506, France.
Jean-Christophe InglardGrand Reims Communauté Urbaine, Direction de l'eau et de l'assainissement, CS 80036, 51722, Reims, Cedex, France.
Jean-Marie MouchelSorbonne Université, CNRS, EPHE, UMR 7619 Metis, E-LTER Zone Atelier Seine, Paris, F-75005, France.
Cécile PochetGrand Reims Communauté Urbaine, Direction de l'eau et de l'assainissement, CS 80036, 51722, Reims, Cedex, France.
Laurent MoulinEau de Paris. Direction de la Recherche, du Développement et de la Qualité de l'Eau, 94200, Ivry-sur-Seine, France.
Vincent RocherSyndicat Interdépartemental pour l'Assainissement de l'Agglomération Parisienne (SIAAP), Direction de l'Innovation, 82 avenue Kléber, Colombes, 92700, France.
Prunelle WaldmanSorbonne Université, CNRS, EPHE, UMR 7619 Metis, E-LTER Zone Atelier Seine, Paris, F-75005, France.
Sébastien WurtzerEau de Paris. Direction de la Recherche, du Développement et de la Qualité de l'Eau, 94200, Ivry-sur-Seine, France.
Alain GeffardUniversité de Reims Champagne-Ardenne, UMR-I02 SEBIO, Moulin de la Housse, BP1039, 51687, Reims, France.
Eau de Paris (France) · FRStress Environnementaux et Biosurveillance des Milieux Aquatiques · FRCentre National de la Recherche Scientifique · FRActalia (France) · FRLaboratoire de Chimie Physique et Microbiologie pour l'Environnement · FRSyndicat Interdépartemental pour l'Assainissement de l'Agglomération Parisienne

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The uses of bivalve molluscs in environmental biomonitoring have recently gained momentum due to their ability to indicate and concentrate human pathogenic microorganisms. In the context of the health crisis caused by the COVID-19 epidemic, the objective of this study was to determine if the SARS-CoV-2 ribonucleic acid genome can be detected in zebra mussels (Dreissena polymorpha) exposed to raw and treated urban wastewaters from two separate plants to support its interest as bioindicator of the SARS-CoV-2 genome contamination in water. The zebra mussels were exposed to treated wastewater through caging at the outlet of two plants located in France, as well as to raw wastewater in controlled conditions. Within their digestive tissues, our results showed that SARS-CoV-2 genome was detected in zebra mussels, whether in raw and treated wastewaters. Moreover, the detection of the SARS-CoV-2 genome in such bivalve molluscans appeared even with low concentrations in raw wastewaters. This is the first detection of the SARS-CoV-2 genome in the tissues of a sentinel species exposed to raw and treated urban wastewaters. Despite the need for development for quantitative approaches, these results support the importance of such invertebrate organisms, especially zebra mussel, for the active surveillance of pathogenic microorganisms and their indicators in environmental waters.

Indexed as

BivalviaCOVID-19DreissenaAnimalsHumansSARS-CoV-2WastewaterWastewaterBivalveCOVID-19RT-qPCRWastewater

Identifiers

PMID34624574
PMCPMC9467573
OpenAlexW3204441093

What OpenQuestion holds

Textmetadata
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.