Acronym NA
Category
Aquaculture
Title Whole-genome sequence data for selective breeding against infectious diseases in aquaculture Programme National Programme
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 Coordinator Anna Sonesson Coordinator email anna.sonesson@nofima.no
Coordinator institution
NOFIMA - Norwegian Institute of Food, Fisheries and Aquaculture Research (Norway)
Institutions involved
NA
Start year 2011 End year 2014 Funding (€) € 540,673 Website https://prosjektbanken.forskningsradet.no/en/project/FORISS/207680?Kilde=FORISS&distribution=Ar&chart=bar&calcType=funding&Sprak=no&sortBy=date&sortOrder=desc&resultCount=30&offset=120&Organisasjon.3=NOFIMA+AS Summary Norway has taken a leading role in the sequencing of the Atlantic cod and Atlantic salmon genomes. The information content is enormous, but will only benefit us if we manage to exploit these data. This project will develop methodology to use genome sequences for selective breeding against infectious diseases in aquaculture. To this aim, we will sequence pooled DNA of cod challenge tested for vibriosis and viral nervous necrosis from the National Breeding Program, align this to the latest cod reference genome and estimate the effects of the DNA polymorphisms. Genetic values of parents will be calculated using these effects, and compared to conventional and sparse marker map based estimates. We will also map genes for resistance to vibriosis and viral nervous necrosis, and use the sequence data to estimate historical and current effective population sizes. The effects of genome sequence data on aquaculture breeding are expected to be far-reaching, where phenotypic and pedigree recording of selection candidates are no longer required. Hence, completely different breeding schemes may be envisaged due to sequence information, and such alternative schemes will be developed and tested within the project, together with methods that manage the inbreeding at the DNA level. In conclusion, the expected benefits from whole genome sequence data are large, and the project covers all aspects of this new data with respect to selective breeding in aquaculture.
Goals:
(1) Generate whole genome sequence data; (2) Predict genome-wide estimated breeding values using sequence data Investigate the accuracy of genome-wide estimated breeding values using sparse markers; (3) Identify and validate at least one causative mutation for disease resistance; (4) Develop methodology to manage inbreeding at the genomic level in selective breeding programs; (5) Calculate historical and current effective population sizes of Atlantic cod; (6) Design selective breeding schemes making best use of sequence data.
Keywords
Selective breeding;
Disease;
Cod;
Genetic;
Fish;
Salmon;
Genomic sequencing;
Marine Region
76
Not associated to marine areas
0
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