Evidence map›Paper›PMID 26289656›Full record

ArticleJournal of the Royal Society, Interface2015

The control of sea lice in Atlantic salmon by selective breeding.

Karim Gharbi, Louise Matthews, James Bron, Ron Roberts, Alan Tinch, Michael Stear

Open access · hybridAbstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
7.2field-weighted citation impact, top 3% 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

17 citing papers in PubMed, 59 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review: Livestock disease resilience: from individual to herd level.Animal : an international journal of animal bioscience · 2021
    Review
  7. Article
  8. The economic value of RGenetics, selection, evolution : GSE · 2020
    Article
  9. Article
  10. Derivation of the economic value of RGenetics, selection, evolution : GSE · 2018
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. 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

6 authors at 3 institutions in 1 country.

Karim GharbiInstitute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow, Glasgow G61 1QH, UK Boyd Orr Centre for Population and Ecosystem Health, University of Glasgow, Glasgow, UK.
Louise MatthewsInstitute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow, Glasgow G61 1QH, UK Boyd Orr Centre for Population and Ecosystem Health, University of Glasgow, Glasgow, UK louise.matthews@glasgow.ac.uk.
James BronInstitute of Aquaculture, University of Stirling, Stirling FK9 4LA, UK.
Ron RobertsLandcatch Natural Selection Ltd, Alloa FK10 3LP, UK.
Alan TinchLandcatch Natural Selection Ltd, Alloa FK10 3LP, UK.
Michael StearInstitute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow, Glasgow G61 1QH, UK Boyd Orr Centre for Population and Ecosystem Health, University of Glasgow, Glasgow, UK.
Glasgow Centre for Population Health · GBLandcatch (United Kingdom) · GBUniversity of Stirling · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sea lice threaten the welfare of farmed Atlantic salmon and the sustainability of fish farming across the world. Chemical treatments are the major method of control but drug resistance means that alternatives are urgently needed. Selective breeding can be a cheap and effective alternative. Here, we combine experimental trials and diagnostics to provide a practical protocol for quantifying resistance to sea lice. We then combined quantitative genetics with epidemiological modelling to make the first prediction of the response to selection, quantified in terms of reduced need for chemical treatments. We infected over 1400 young fish with Lepeophtheirus salmonis, the most important species in the Northern Hemisphere. Mechanisms of resistance were expressed early in infection. Consequently, the number of lice per fish and the ranking of families were very similar at 7 and 17 days post infection, providing a stable window for assessing susceptibility to infection. The heritability of lice numbers within this time window was moderately high at 0.3, confirming that selective breeding is viable. We combined an epidemiological model of sea lice infection and control on a salmon farm with genetic variation in susceptibility among individuals. We simulated 10 generations of selective breeding and examined the frequency of treatments needed to control infection. Our model predicted that substantially fewer chemical treatments are needed to control lice outbreaks in selected populations and chemical treatment could be unnecessary after 10 generations of selection. Selective breeding for sea lice resistance should reduce the impact of sea lice on fish health and thus substantially improve the sustainability of Atlantic salmon production.

Indexed as

BreedingCopepodaFish DiseasesModels, BiologicalAnimalsSalmo salarAtlantic salmonepidemiological modellingLepeophtheirus salmonissea liceselective breedingsustainable agriculture

Identifiers

PMID26289656
PMCPMC4614468
OpenAlexW2190107622

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.