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

SNPFISK
Fisheries
Use of single nucleotIde polymorphism to improve fisheries management
National Programme
National
Torild Johansen
torild.johansen@imr.no
IMR - Institute of Marine Research (Norway)
NA
2010
2014
€ NA
NA
Fisheries management generally considers that the "fish stocks" are closely related to "fish populations". The true level of adequacy between the two entities has important implications for management success, and fisheries biologists have addressed the issue by characterising "fish populations" geographic structures in terms of the distributions and movement of individual organisms within and among local populations. Evolutionary biologists, however, think in terms of the spatial distribution of the genetic variation within and among local populations (breeding units). This thinking has shown that in many cases marine fish species are differentiated into local populations although no geographical or other dispersal barrier is identified. This has inspired questions on how the marine species are distributed and differentiated into populations. Addressing these issues are best done through cooperation between Ecologists and Evolutionary biologists who can then offer improved advice for managements. We therefore need a more powerful molecular genetic tool as the Single Nucleotide Polymorphisms (SNP) which is biallelic, more abundant, and randomly distributed in both coding and non-coding DNA regions, reflecting both neutral and selective markers which offers ecologists and fisheries scientists an even more powerful tool to study stock structure. The bi-allelic nature of these markers makes it easier to compare the result between laboratories and to build up a genetic database for fisheries management. The technology to interrogate large numbers of SNPs simultaneously is accessible; however this first demands the discovery and validation of significant number of SNP markers. In this proposal, we will employ a proven combination of new technologies to build a library of species specific SNP markers. Focus will be on redfishes (Sebastes sp.), Greenland halibut (Reinhardtius hippoglossoides) and Saithe (Pollachius virens) as model species to test this method.
Fish stocks; Halibut; Genetic; Redfish; Flatfish; Fisheries management; Saithe; Fish;
Norwegian Sea (27.IIa) Northern North Sea (27.IVa) Skagerrak, Kattegat (27.IIIa)
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