The control of sea lice in Atlantic salmon by selective breeding

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...

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Published in:Journal of The Royal Society Interface
Main Authors: Gharbi, Karim, Matthews, Louise, Bron, James, Roberts, Ron, Tinch, Alan, Stear, Michael
Format: Article in Journal/Newspaper
Language:English
Published: The Royal Society 2015
Subjects:
Online Access:http://dx.doi.org/10.1098/rsif.2015.0574
https://royalsocietypublishing.org/doi/pdf/10.1098/rsif.2015.0574
https://royalsocietypublishing.org/doi/full-xml/10.1098/rsif.2015.0574
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spelling crroyalsociety:10.1098/rsif.2015.0574 2024-09-15T17:56:04+00:00 The control of sea lice in Atlantic salmon by selective breeding Gharbi, Karim Matthews, Louise Bron, James Roberts, Ron Tinch, Alan Stear, Michael 2015 http://dx.doi.org/10.1098/rsif.2015.0574 https://royalsocietypublishing.org/doi/pdf/10.1098/rsif.2015.0574 https://royalsocietypublishing.org/doi/full-xml/10.1098/rsif.2015.0574 en eng The Royal Society https://royalsociety.org/journals/ethics-policies/data-sharing-mining/ Journal of The Royal Society Interface volume 12, issue 110, page 20150574 ISSN 1742-5689 1742-5662 journal-article 2015 crroyalsociety https://doi.org/10.1098/rsif.2015.0574 2024-08-05T04:35:21Z 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. Article in Journal/Newspaper Atlantic salmon The Royal Society Journal of The Royal Society Interface 12 110 20150574
institution Open Polar
collection The Royal Society
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language English
description 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.
format Article in Journal/Newspaper
author Gharbi, Karim
Matthews, Louise
Bron, James
Roberts, Ron
Tinch, Alan
Stear, Michael
spellingShingle Gharbi, Karim
Matthews, Louise
Bron, James
Roberts, Ron
Tinch, Alan
Stear, Michael
The control of sea lice in Atlantic salmon by selective breeding
author_facet Gharbi, Karim
Matthews, Louise
Bron, James
Roberts, Ron
Tinch, Alan
Stear, Michael
author_sort Gharbi, Karim
title The control of sea lice in Atlantic salmon by selective breeding
title_short The control of sea lice in Atlantic salmon by selective breeding
title_full The control of sea lice in Atlantic salmon by selective breeding
title_fullStr The control of sea lice in Atlantic salmon by selective breeding
title_full_unstemmed The control of sea lice in Atlantic salmon by selective breeding
title_sort control of sea lice in atlantic salmon by selective breeding
publisher The Royal Society
publishDate 2015
url http://dx.doi.org/10.1098/rsif.2015.0574
https://royalsocietypublishing.org/doi/pdf/10.1098/rsif.2015.0574
https://royalsocietypublishing.org/doi/full-xml/10.1098/rsif.2015.0574
genre Atlantic salmon
genre_facet Atlantic salmon
op_source Journal of The Royal Society Interface
volume 12, issue 110, page 20150574
ISSN 1742-5689 1742-5662
op_rights https://royalsociety.org/journals/ethics-policies/data-sharing-mining/
op_doi https://doi.org/10.1098/rsif.2015.0574
container_title Journal of The Royal Society Interface
container_volume 12
container_issue 110
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