Evidence map›Paper›PMID 29866158›Full record

ArticleParasites & vectors2018

Catching the fish with the worm: a case study on eDNA detection of the monogenean parasite Gyrodactylus salaris and two of its hosts, Atlantic salmon (Salmo salar) and rainbow trout (Oncorhynchus mykiss).

Johannes C Rusch, Haakon Hansen, David A Strand, Turhan Markussen, Sigurd Hytterød, Trude Vrålstad

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in Parasites & vectors, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
5.6field-weighted citation impact, top 4% 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

20 citing papers in PubMed, 72 citations in OpenAlex.

  1. Article
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  6. Article
  7. Review
  8. Application of an eDNA assay for the detection ofAquaculture (Amsterdam, Netherlands) · 2023
    Article
  9. Article
  10. Article
  11. Article
  12. Article
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  14. Recent Advances with Fish Microsporidia.Experientia supplementum (2012) · 2022
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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

6 authors at 3 institutions in 1 country.

Johannes C RuschNorwegian Veterinary Institute, P.O. Box 750, Sentrum, NO-0106, Oslo, Norway.
Haakon HansenNorwegian Veterinary Institute, P.O. Box 750, Sentrum, NO-0106, Oslo, Norway. haakon.hansen@vetinst.no.
David A StrandNorwegian Veterinary Institute, P.O. Box 750, Sentrum, NO-0106, Oslo, Norway.
Turhan MarkussenFaculty of Veterinary Medicine, Norwegian University of Life Sciences, P.O. Box 8146, Dep, NO-0033, Oslo, Norway.
Sigurd HytterødNorwegian Veterinary Institute, P.O. Box 750, Sentrum, NO-0106, Oslo, Norway.
Trude VrålstadNorwegian Veterinary Institute, P.O. Box 750, Sentrum, NO-0106, Oslo, Norway.
Norwegian Veterinary Institute · NONorwegian University of Life Sciences · NOUniversity of Oslo · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEnvironmental DNA (eDNA) monitoring is growing increasingly popular in aquatic systems as a valuable complementary method to conventional monitoring. However, such tools have not yet been extensively applied for metazoan fish parasite monitoring. The fish ectoparasite Gyrodactylus salaris, introduced into Norway in 1975, has caused severe damage to Atlantic salmon populations and fisheries. Successful eradication of the parasite has been carried out in several river systems in Norway, and Atlantic salmon remain infected in only seven rivers, including three in the Drammen region. In this particular infection region, a prerequisite for treatment is to establish whether G. salaris is also present on rainbow trout upstream of the salmon migration barrier. Here, we developed and tested eDNA approaches to complement conventional surveillance methods.

methodsWater samples (2 × 5 l) were filtered on-site through glass fibre filters from nine locations in the Drammen watercourse, and DNA was extracted with a CTAB protocol. We developed a qPCR assay for G. salaris targeting the nuclear ribosomal ITS1 region, and we implemented published assays targeting the mitochondrial cytochrome-b and NADH-regions for Atlantic salmon and rainbow trout, respectively. All assays were transferred successfully to droplet digital PCR (ddPCR).

resultsAll qPCR/ddPCR assays performed well both on tissue samples and on field samples, demonstrating the applicability of eDNA detection for G. salaris, rainbow trout and Atlantic salmon in natural water systems. With ddPCR we eliminated a low cross-amplification of Gyrodactylus derjavinoides observed using qPCR, thus increasing specificity and sensitivity substantially. Duplex ddPCR for G. salaris and Atlantic salmon was successfully implemented and can be used as a method in future surveillance programs. The presence of G. salaris eDNA in the infected River Lierelva was documented, while not elsewhere. Rainbow trout eDNA was only detected at localities where the positives could be attributed to eDNA release from upstream land-based rainbow trout farms. Electrofishing supported the absence of rainbow trout in all of the localities.

conclusionsWe provide a reliable field and laboratory protocol for eDNA detection of G. salaris, Atlantic salmon and rainbow trout, that can complement conventional surveillance programs and substantially reduce the sacrifice of live fish. We also show that ddPCR outperforms qPCR with respect to the specific detection of G. salaris.

Indexed as

AnimalsCestode InfectionsDNAFish DiseasesFisheriesNorwayOncorhynchus mykissParasitologyPlatyhelminthsRiversSalmo salarDNADroplet digital PCR (ddPCR)Environmental DNAInternal transcribed spacer (ITS)Invasive speciesMitochondrial DNA (mtDNA)Multiplex PCR

Identifiers

PMID29866158
PMCPMC5987472
OpenAlexW2805817044

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.