Acronym MOLTRAQ
Category
Aquaculture
Title Molecular Tracing of viral pathogens in Aquaculture Programme International Cooperation
Instrument (FP6)
Contact Type (FP7)
Strand (Interreg)
NA
Theme (FP7)
Activity Area (FP6)
Regional Area (Interreg)
Action (COST)
NA
Specific Programme (FP7)
NA
Funding source National-European Coordinator Britt Bang Jensen Coordinator email britt-bang.jensen@vetinst.no
Coordinator institution
NVI - Norwegian Veterinary Institute (Norway)
Institutions involved
ANSES - French Agency for Food, Environmental and Occupational Health & Safety (France) ,
IRD - French National Research Institute for Sustainable Development (France) ,
IFREMER - French Research Institute for Exploitation of the Sea (France) ,
FLI - Friedrich Loeffler Institut (Germany) ,
NR - Norwegian Computing Center (Norway) ,
DTU-Vet - Technical University of Denmark; National Veterinary Institute (Denmark) ,
Start year 2012 End year 2015 Funding (€) € NA Website https://moltraq.wordpress.com/about/ Summary This project will i) generate and use spatio-temporal epidemiological data, phylogeographic data and gene expression data for important host-viral pathogen systems to identify important factors affecting the spread of diseases in aquaculture, and ii) integrate these in scenario simulation models to assess effects of various control strategies for selected host-pathogen systems. The purpose of the project is to increase knowledge on transmission, prevention and control of viral diseases in aquaculture and d evelop a generic approach to viral disease control by using information on epidemiological and physiogenetical attributes from several important aquatic animal viruses.The specific objectives are: 1) Collection of isolates of specific important aquatic animal viruses and their respective epidemiological data (from as wide host ranges, broad geographic distributions and variable pathogenicities as possible), 2) Characterisation of the isolates by phylogenetic and expression analyses and 3) Constructing scenario simulation models to assess effects of different control strategies.
Keywords
Disease;
Genetic;
Genomic and gene mining;
Marine Region
76
Not associated to marine areas
0
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