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dc.contributor.authorRobinson, Nicholas Andrew
dc.contributor.authorRobledo, Diego
dc.contributor.authorSveen, Lene
dc.contributor.authorDaniels, Rose Ruiz
dc.contributor.authorKrasnov, Aleksei
dc.contributor.authorCoates, Andrew
dc.contributor.authorJin, Ye Hwa
dc.contributor.authorBarrett, Luke T.
dc.contributor.authorLillehammer, Marie
dc.contributor.authorKettunen, Anne Helena
dc.contributor.authorPhillips, Ben L.
dc.contributor.authorDempster, Tim
dc.contributor.authorDoeschl-Wilson, Andrea
dc.contributor.authorSamsing, Francisca
dc.contributor.authorDifford, Gareth Frank
dc.contributor.authorSalisbury, Sarah
dc.contributor.authorGjerde, Bjarne
dc.contributor.authorHaugen, John-Erik
dc.contributor.authorBurgerhout, Erik
dc.contributor.authorDagnachew, Binyam Sime
dc.contributor.authorKurian, Dominic
dc.contributor.authorFast, Mark D.
dc.contributor.authorRye, Morten
dc.contributor.authorSalazar, Marcela
dc.contributor.authorBron, James E.
dc.contributor.authorMonaghan, Sean J.
dc.contributor.authorJacq, Celeste
dc.contributor.authorBirkett, Mike
dc.contributor.authorBrowman, Howard I.
dc.contributor.authorSkiftesvik, Anne Berit
dc.contributor.authorFields, David M.
dc.contributor.authorSelander, Erik
dc.contributor.authorBui, Samantha
dc.contributor.authorSonesson, Anna Kristina
dc.contributor.authorSkugor, Stanko
dc.contributor.authorØstbye, Tone-Kari K
dc.contributor.authorHouston, Ross D.
dc.date.accessioned2022-09-07T08:39:00Z
dc.date.available2022-09-07T08:39:00Z
dc.date.created2022-09-06T15:07:59Z
dc.date.issued2022
dc.identifier.citationReviews in Aquaculture. 2022, 1-45.
dc.identifier.issn1753-5123
dc.identifier.urihttps://hdl.handle.net/11250/3016203
dc.description.abstractDisease and parasitism cause major welfare, environmental and economic concerns for global aquaculture. In this review, we examine the status and potential of technologies that exploit genetic variation in host resistance to tackle this problem. We argue that there is an urgent need to improve understanding of the genetic mechanisms involved, leading to the development of tools that can be applied to boost host resistance and reduce the disease burden. We draw on two pressing global disease problems as case studies—sea lice infestations in salmonids and white spot syndrome in shrimp. We review how the latest genetic technologies can be capitalised upon to determine the mechanisms underlying inter- and intra-species variation in pathogen/ parasite resistance, and how the derived knowledge could be applied to boost disease resistance using selective breeding, gene editing and/or with targeted feed treatments and vaccines. Gene editing brings novel opportunities, but also implementation and dissemination challenges, and necessitates new protocols to integrate the technology into aquaculture breeding programmes. There is also an ongoing need to minimise risks of disease agents evolving to overcome genetic improvements to host resistance, and insights from epidemiological and evolutionary models of pathogen infestation in wild and cultured host populations are explored. Ethical issues around the different approaches for achieving genetic resistance are discussed. Application of genetic technologies and approaches has potential to improve fundamental knowledge of mechanisms affecting genetic resistance and provide effective pathways for implementation that could lead to more resistant aquaculture stocks, transforming global aquaculture.
dc.language.isoeng
dc.titleApplying genetic technologies to combat infectious diseases in aquaculture
dc.title.alternativeApplying genetic technologies to combat infectious diseases in aquaculture
dc.typePeer reviewed
dc.typeJournal article
dc.description.versionpublishedVersion
dc.source.pagenumber1-45
dc.source.journalReviews in Aquaculture
dc.identifier.doi10.1111/raq.12733
dc.identifier.cristin2049242
dc.relation.projectNorges forskningsråd: 320619
dc.relation.projectNorges forskningsråd: 244131
dc.relation.projectFiskeri- og havbruksnæringens forskningsfinansiering: 901631
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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