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dc.contributor.authorFraslin, Clémence
dc.contributor.authorDechamp, Nicolas
dc.contributor.authorBernard, Maria
dc.contributor.authorKrieg, Francine
dc.contributor.authorHervet, Caroline
dc.contributor.authorGuyomard, René
dc.contributor.authorEsquerré, Diane
dc.contributor.authorBarbieri, Johanna
dc.contributor.authorKuchly, Claire
dc.contributor.authorDuchaud, Eric
dc.contributor.authorBoudinot, Pierre
dc.contributor.authorRochat, Tatiana
dc.contributor.authorBernardet, Jean-François
dc.contributor.authorQuillet, Edwige
dc.date.accessioned2018-11-17T07:03:51Z
dc.date.available2018-11-17T07:03:51Z
dc.date.issued2018-11-16
dc.identifier.citationGenetics Selection Evolution. 2018 Nov 16;50(1):60
dc.identifier.issn0999-193X
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/285396
dc.description.abstractBACKGROUND: Bacterial cold-water disease, which is caused by Flavobacterium psychrophilum, is one of the major diseases that affect rainbow trout (Oncorhynchus mykiss) and a primary concern for trout farming. Better knowledge of the genetic basis of resistance to F. psychrophilum would help to implement this trait in selection schemes and to investigate the immune mechanisms associated with resistance. Various studies have revealed that skin and mucus may contribute to response to infection. However, previous quantitative trait loci (QTL) studies were conducted by using injection as the route of infection. Immersion challenge, which is assumed to mimic natural infection by F. psychrophilum more closely, may reveal different defence mechanisms. RESULTS: Two isogenic lines of rainbow trout with contrasting susceptibilities to F. psychrophilum were crossed to produce doubled haploid F2 progeny. Fish were infected with F. psychrophilum either by intramuscular injection (115 individuals) or by immersion (195 individuals), and genotyped for 9654 markers using RAD-sequencing. Fifteen QTL associated with resistance traits were detected and only three QTL were common between the injection and immersion. Using a model that accounted for epistatic interactions between QTL, two main types of interactions were revealed. A "compensation-like" effect was detected between several pairs of QTL for the two modes of infection. An "enhancing-like" interaction effect was detected between four pairs of QTL. Integration of the QTL results with results of a previous transcriptomic analysis of response to F. psychrophilum infection resulted in a list of potential candidate immune genes that belong to four relevant functional categories (bacterial sensors, effectors of antibacterial immunity, inflammatory factors and interferon-stimulated genes). CONCLUSIONS: These results provide new insights into the genetic determinism of rainbow trout resistance to F. psychrophilum and confirm that some QTL with large effects are involved in this trait. For the first time, the role of epistatic interactions between resistance-associated QTL was evidenced. We found that the infection protocol used had an effect on the modulation of defence mechanisms and also identified relevant immune functional candidate genes.
dc.publisherSpringer Science and Business Media LLC
dc.titleQuantitative trait loci for resistance to Flavobacterium psychrophilum in rainbow trout: effect of the mode of infection and evidence of epistatic interactions.
dc.typeJournal Article
dc.date.updated2018-11-17T07:03:49Z
dc.language.rfc3066en
dc.rights.holderThe Author(s)
prism.publicationNameGenet Sel Evol
dc.identifier.doi10.17863/CAM.32762
dcterms.dateAccepted2018-11-06
rioxxterms.versionofrecord10.1186/s12711-018-0431-9
dc.identifier.eissn1297-9686
cam.issuedOnline2018-11-16


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