Evidence map›Paper›PMID 33081614›Full record

ArticleProceedings. Biological sciences2020

Environmental DNA from multiple pathogens is elevated near active Atlantic salmon farms.

Dylan Shea, Andrew Bateman, Shaorong Li, Amy Tabata, Angela Schulze, Gideon Mordecai, Lindsey Ogston, John P Volpe, L Neil Frazer, Brendan Connors and 3 more

Abstract read
In one paragraph

Article in Proceedings. Biological sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Anemia in salmon aquaculture: Scotland as a case study.Aquaculture (Amsterdam, Netherlands) · 2022
    Review
  14. Article
  15. 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.

Dylan SheaDepartment of Ecology and Evolutionary Biology, University of Toronto, Ontario, Canada.
Andrew BatemanDepartment of Ecology and Evolutionary Biology, University of Toronto, Ontario, Canada.
Shaorong LiPacific Biological Station, Fisheries and Oceans Canada, Nanaimo, British Columbia, Canada.
Amy TabataPacific Biological Station, Fisheries and Oceans Canada, Nanaimo, British Columbia, Canada.
Angela SchulzePacific Biological Station, Fisheries and Oceans Canada, Nanaimo, British Columbia, Canada.
Gideon MordecaiDepartment of Medicine, University of British Columbia, Vancouver, British Columbia, Canada.
Lindsey OgstonDepartment of Ecology and Evolutionary Biology, University of Toronto, Ontario, Canada.
John P VolpeSchool of Environmental Studies, University of Victoria, Victoria, British Columbia, Canada.
L Neil FrazerDepartment of Earth Sciences, University of Hawaii at Mānoa, Honolulu, Hawaii, Canada.
Brendan ConnorsInstitute of Ocean Sciences, Fisheries and Oceans Canada, Sidney, British Columbia, Canada.
Kristina M MillerPacific Biological Station, Fisheries and Oceans Canada, Nanaimo, British Columbia, Canada.
Steven ShortDepartment of Ecology and Evolutionary Biology, University of Toronto, Ontario, Canada.
Martin KrkošekDepartment of Ecology and Evolutionary Biology, University of Toronto, Ontario, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The spread of infection from reservoir host populations is a key mechanism for disease emergence and extinction risk and is a management concern for salmon aquaculture and fisheries. Using a quantitative environmental DNA methodology, we assessed pathogen environmental DNA in relation to salmon farms in coastal British Columbia, Canada, by testing for 39 species of salmon pathogens (viral, bacterial, and eukaryotic) in 134 marine environmental samples at 58 salmon farm sites (both active and inactive) over 3 years. Environmental DNA from 22 pathogen species was detected 496 times and species varied in their occurrence among years and sites, likely reflecting variation in environmental factors, other native host species, and strength of association with domesticated Atlantic salmon. Overall, we found that the probability of detecting pathogen environmental DNA (eDNA) was 2.72 (95% CI: 1.48, 5.02) times higher at active versus inactive salmon farm sites and 1.76 (95% CI: 1.28, 2.42) times higher per standard deviation increase in domesticated Atlantic salmon eDNA concentration at a site. If the distribution of pathogen eDNA accurately reflects the distribution of viable pathogens, our findings suggest that salmon farms serve as a potential reservoir for a number of infectious agents; thereby elevating the risk of exposure for wild salmon and other fish species that share the marine environment.

Indexed as

AquacultureDNA, EnvironmentalAnimalsBritish ColumbiaEnvironmental MonitoringFarmsFish DiseasesFisheriesSalmo salarWater MicrobiologyDNA, Environmentalaquaculturedisease spilloverinfectious diseasemicroparasiteswild salmon

Identifiers

PMID33081614
PMCPMC7661312

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.