Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/24781
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dc.contributor.authorDenholm, Scott Jen_UK
dc.contributor.authorHoyle, Andrewen_UK
dc.contributor.authorShinn, Andrewen_UK
dc.contributor.authorPaladini, Giuseppeen_UK
dc.contributor.authorTaylor, Nicholas G Hen_UK
dc.contributor.authorNorman, Rachelen_UK
dc.date.accessioned2017-03-04T00:54:02Z-
dc.date.available2017-03-04T00:54:02Z-
dc.date.issued2016-12-29en_UK
dc.identifier.othere0169168en_UK
dc.identifier.urihttp://hdl.handle.net/1893/24781-
dc.description.abstractGyrodactylus salaris(Monogenea, Platyhelminthes) is a notifiable freshwater pathogen responsible for causing catastrophic damage to wild Atlantic salmon stocks, most notably in Norway. In some strains of Baltic salmon (e.g., from the river Neva) however, the impact is greatly reduced due to some form of innate resistance that regulates parasite numbers, resulting in fewer host mortalities.Gyrodactylus salarisis known from 17 European states; its status in a further 35 states remains unknown; the UK, the Republic of Ireland and certain watersheds in Finland are free of the parasite. Thus, the parasite poses a serious threat if it emerges in Atlantic salmon rearing regions throughout Europe. At present, infections are generally controlled via extreme measures such as the treatment of entire river catchments with the biocide rotenone, in order to remove all hosts, before restocking with the original genetic stock. The use of rotenone in this way in EU countries is unlikely as it would be in contravention of the Water Framework Directive. Not only are such treatments economically and environmentally costly, they also eradicate the potential for any host/parasite evolutionary process to occur. Based on previous studies, UK salmon stocks have been shown to be highly susceptible to infection, analogous to Norwegian stocks. The present study investigates the impact of aG.salarisoutbreak within a naïve salmon population in order to determine long-term consequences of infection and the likelihood of coexistence. Simulation of the salmon/G.salarissystem was carried out via a deterministic mathematical modelling approach to examine the dynamics of host-pathogen interactions. Results indicated that in order for highly susceptible Atlantic strains to evolve a resistance, both a moderate-strong deceleratingly costly trade-off on birth rate and a lower overall cost of the immune response are required. The present study provides insights into the potential long term impact ofG.salarisif introduced intoG.salaris-free territories and suggests that in the absence of external controls salmon populations are likely to recover to high densities nearing 90% of that observed pre-infection.en_UK
dc.language.isoenen_UK
dc.publisherPublic Library of Scienceen_UK
dc.relationDenholm SJ, Hoyle A, Shinn A, Paladini G, Taylor NGH & Norman R (2016) Predicting the potential for natural recovery of Atlantic salmon (Salmo salar L.) populations following the introduction of Gyrodactylus salaris Malmberg, 1957 (Monogenea). PLoS ONE, 11 (12), Art. No.: e0169168. https://doi.org/10.1371/journal.pone.0169168en_UK
dc.rights© 2016 Denholm et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.en_UK
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_UK
dc.titlePredicting the potential for natural recovery of Atlantic salmon (Salmo salar L.) populations following the introduction of Gyrodactylus salaris Malmberg, 1957 (Monogenea)en_UK
dc.typeJournal Articleen_UK
dc.identifier.doi10.1371/journal.pone.0169168en_UK
dc.identifier.pmid28033370en_UK
dc.citation.jtitlePLoS ONEen_UK
dc.citation.issn1932-6203en_UK
dc.citation.volume11en_UK
dc.citation.issue12en_UK
dc.citation.publicationstatusPublisheden_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusVoR - Version of Recorden_UK
dc.author.emailash@cs.stir.ac.uken_UK
dc.citation.date29/12/2016en_UK
dc.contributor.affiliationScotland's Rural College (SRUC)en_UK
dc.contributor.affiliationMathematicsen_UK
dc.contributor.affiliationInstitute of Aquacultureen_UK
dc.contributor.affiliationInstitute of Aquacultureen_UK
dc.contributor.affiliationCEFAS - Centre for Environment, Fisheries and Aquaculture Scienceen_UK
dc.contributor.affiliationComputing Scienceen_UK
dc.identifier.isiWOS:000391226900081en_UK
dc.identifier.scopusid2-s2.0-85007507981en_UK
dc.identifier.wtid544354en_UK
dc.contributor.orcid0000-0002-9117-7041en_UK
dc.contributor.orcid0000-0002-5434-2685en_UK
dc.contributor.orcid0000-0003-4944-0499en_UK
dc.contributor.orcid0000-0002-7398-6064en_UK
dc.date.accepted2016-12-13en_UK
dcterms.dateAccepted2016-12-13en_UK
dc.date.filedepositdate2017-01-12en_UK
rioxxterms.apcnot requireden_UK
rioxxterms.typeJournal Article/Reviewen_UK
rioxxterms.versionVoRen_UK
local.rioxx.authorDenholm, Scott J|en_UK
local.rioxx.authorHoyle, Andrew|0000-0002-9117-7041en_UK
local.rioxx.authorShinn, Andrew|0000-0002-5434-2685en_UK
local.rioxx.authorPaladini, Giuseppe|0000-0003-4944-0499en_UK
local.rioxx.authorTaylor, Nicholas G H|en_UK
local.rioxx.authorNorman, Rachel|0000-0002-7398-6064en_UK
local.rioxx.projectInternal Project|University of Stirling|https://isni.org/isni/0000000122484331en_UK
local.rioxx.freetoreaddate2017-01-12en_UK
local.rioxx.licencehttp://creativecommons.org/licenses/by/4.0/|2017-01-12|en_UK
local.rioxx.filenamejournal.pone.0169168.pdfen_UK
local.rioxx.filecount1en_UK
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