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Article Dans Une Revue Animal Genetics Année : 2019

Rainbow trout resistance to bacterial cold water disease: two new quantitative trait loci identified after a natural disease outbreak on a French farm

Résumé

In rainbow trout farming, Flavobacterium psychrophilum, the causative agent of bacterial cold water disease, is responsible for important economic losses. Resistance to F. psychrophilum is heritable, and several quantitative trait loci (QTL) with moderate effects have been detected, opening up promising perspectives for the genetic improvement of resistance. In most studies however, resistance to F. psychrophilum was assessed in experimental infectious challenges using injection as the infection route, which is not representative of natural infection. Indeed, injection bypasses external barriers, such as mucus and skin, that likely play a protective role against the infection. In this study, we aimed at describing the genetic architecture of the resistance to F. psychrophilum after a natural disease outbreak. In a 2000-fish cohort, reared on a French farm, 720 fish were sampled and genotyped using the medium-throughput Axiom (TM) Trout Genotyping Array. Overall mortality at the end of the outbreak was 25%. Genome-wide association studies were performed under two different models for time to death measured on 706 fish with validated genotypes for 30 060 SNPs. This study confirms the polygenic inheritance of resistance to F. psychrophilum with a few QTL with moderate effects and a large polygenic background, the heritability of the trait being estimated at 0.34. Two new chromosome-wide significant QTL and three suggestive QTL were detected, each of them explaining between 1% and 4% of genetic variance.
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Dates et versions

hal-02166481 , version 1 (26-06-2019)

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Clémence Fraslin, S. Brard‐fudulea, Jonathan d'Ambrosio, Anastasia Bestin, Mathieu Charles, et al.. Rainbow trout resistance to bacterial cold water disease: two new quantitative trait loci identified after a natural disease outbreak on a French farm. Animal Genetics, 2019, 50 (3), pp.293-297. ⟨10.1111/age.12777⟩. ⟨hal-02166481⟩
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