Reference : Individual monitoring of immune responses in rainbow trout after cohabitation and int...
Scientific journals : Article
Life sciences : Veterinary medicine & animal health
Individual monitoring of immune responses in rainbow trout after cohabitation and intraperitoneal injection challenge with Yersinia ruckeri.
Mira Monte, Milena mailto [Université de Liège > > Immunologie et vaccinologie >]
Urquhart, Katy [> >]
Secombes, Christopher J. [> >]
Collet, Bertrand [> >]
Fish and Shellfish Immunology
Yes (verified by ORBi)
[en] Antimicrobial peptides ; Cohabitation ; Cytokines ; Intraperitoneal injection ; Non-lethal sampling ; Yersinia ruckeri
[en] Yersinia ruckeri, the causative agent of enteric red mouth disease (ERM), is a widely studied pathogen in disease models using rainbow trout. This infection model, mostly based on intraperitoneally injection or bath immersion challenges, has an impact on both components (innate and adaptive) of the fish immune system. Although there has been much attention in studying its host-pathogen interactions, there is still a lack of knowledge regarding the impact of a cohabitation challenge. To tackle this we used a newly established non-lethal sampling method (by withdrawing a small amount of blood) in rainbow trout which allowed the individual immune monitoring before (non-infected) and after infection with Yersinia ruckeri either by intraperitoneal (i.p.) injection or by cohabitation (cohab). A range of key immune genes were monitored during the infection by real-time PCR, and results were compared between the two infection routes. Results indicated that inflammatory (IL-1beta1 and IL-8) cytokines and certain antimicrobial peptides (cathelicidins) revealed a different pattern of expression between the two infected groups (i.p. vs cohab), in comparison to adaptive immune cytokines (IL-22, IFN-gamma and IL-4/13A) and beta-defensins. This suggests a different involvement of distinct immune markers according to the infection model, and the importance of using a cohabitation challenge as a more natural disease model that likely simulates what would occur in the environment.
Copyright (c) 2016. Published by Elsevier Ltd.

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