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Hope to breed out pancreas disease risk in Atlantic salmon

Staff Writer |
A breakthrough which makes possible to breed fish with natural resistance to pancreas disease (PD) in Atlantic salmon has been made by Nofima, SalmoBreed and other partners.

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The inheritable genetic component of resistance to this viral disease was confirmed in recent challenge trials which showed that fish with a high breeding value for PD had a survival rate close to 90%, while survival rates of fish with low breeding value were just below 60%, in two different infection test models: intraperitoneal and cohabitant.

Project leader Hooman Moghadam from Nofima is very optimistic after the first results of the experiment were available.

“We have so far done two infection tests with selected family groups of fish. When we see the big differences in survival rate between the groups already after a few generations' selection, we know that we are on the right track.

“And when, in addition, the results are confirmed through two different models of infection, our findings are confirmed with even stronger evidence. Therefore, we can be sure that breeding for increased PD survival is an important tool in the fight against PD,” he said.

The NFR HAVBRUK2-funded research project, SalmoResist, aims to look at the connection between phenotypic properties and fish genotype. Fish from families with high and low breeding values have been tested in the infection tests for their ability to resist infection by PD virus.

By analyzing the genomes of these fishes, a phenotypic trait such as mortality can be linked to variations in the fish's DNA. This allows for a more efficient selection of PD-robust brood fish at an individual level.

Such information can be utilized to increase the success rate through breeding and increase the safety of selection compared to traditional family breeding.

Genetics Manager Borghild Hillestad is responsible for SalmoBreed's participation in the SalmoResist project. Prior to 2015, SalmoBreed used a QTL for selection of fish with higher tolerance against the PD virus.

This has been the method that significantly reduced the number of outbreaks of the IPN disease in salmon farming. QTL-based selection methods are most effective when the trait is controlled to a high degree by one or a few genes.

“Finding such a powerful QTL as we have available for IPN is a rare event. The QTL for IPN controls around 80% of the fish's resistance to the disease,” says Hillestad.

“On the other hand,” she continues, “there are many characteristics that are usually affected by a large number of genes. Separately, each gene has a small effect on a trait, but combined they explain a large part of genetic variation.

“This is where the genomic selection method (GS) comes into play and has proven to be far more precise and effective than QTL for many properties. To be able to use GS, a good understanding of the genetic variations in the genome of the species is essential.

“Using GS, the entire salmon genome is evaluated in order to identify variations associated with PD survival. By acquiring a deeper understanding of such factors, we have a much stronger capacity to breed effectively for resistance to the disease.”

SalmoBreed produced families based on GS values of parent fish for the first time in 2015. Since 2008, every year infection tests have been conducted on all families, and breeding values have been prepared based on this information.

The selection work based on these infection tests is confirmed through SalmoResist.

“Extreme values based on GS were used when the families were selected for the project. When we see the difference in survival between the groups in SalmoResist, we confirm that genomic selection is a good tool in the fight against PD,” says Hillestad.

She explains that through breeding from individuals that have the desired gene composition, SalmoBreed will be able to deliver fish with ever increasing resistance to PD, generation by generation.

“Breeding is the only measure that gives an ‘incremental interest effect’", explains Hillestad.


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