The available database comprises research projects in Fisheries, Aquaculture, Seafood Processing and Marine Biotechnology active in the time period 2003-2022.
BlueBio is an ERA-NET COFUND created to directly identify new and improve existing ways of bringing bio-based products and services to the market and find new ways of creating value from in the blue bioeconomy.

More information on the BlueBio project and participating funding organizations is available on the BlueBio website: www.bluebioeconomy.eu

Last Update: 2024/06/19

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Aquaculture
Marine Biotechnology
Interaction Between Fish and Salmon Louse: A Transcriptomic Study
National Programme
National
Bjarne Gjerde
bjarne.gjerde@nofima.no
NOFIMA - Norwegian Institute of Food, Fisheries and Aquaculture Research (Norway)
UiB - University of Bergen (Norway), 
2009
2010
€ 23,620
https://www.fhf.no/prosjekter/prosjektbasen/900402/
Until recently, salmon lice and the fish's response to the parasite have only been studied separately. Analyzes of the interaction between host and parasite are a powerful tool for understanding more of the salmon's protection mechanisms against lice. Material will be collected from the laboratory and from field studies that rank salmon by resistance to lice. The aim of the project to use a genetic analysis that enables one to identify genes that can determine how well the salmon lice "like" the salmon. This can be a measure of the salmon's resistance to the parasite in salmon and thus promote the development of measures against the parasite. Such a complex genetic analysis - so-called multiple gene expression profiling - means that you follow the process where a gene - through manipulation - is transformed into proteins that you want to study. The profiling measures the presence and quality of one or more proteins in a particular cell or sample.
Fish; Engineering; Parasite; Genetic; Salmon; Genomic sequencing;
Not associated to marine areas
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If there is any incorrect or missing information on this project please access here or contact bluebio.database@irbim.cnr.it
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