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Detection of QTL in Rainbow Trout Affecting Survival When Challenged with Flavobacterium psychrophilum
- Roger L. Vallejo, Yniv Palti, Sixin Liu, Jason P. Evenhuis, Guangtu Gao, Caird E. Rexroad III, Gregory D. Wiens
- Marine biotechnology 2014 v.16 no.3 pp. 349-360
- Flavobacterium psychrophilum, Oncorhynchus mykiss, chromosome mapping, crossing, disease resistance, fish, genetic markers, genetic variation, genome, linkage (genetics), loci, marker-assisted selection, microsatellite repeats, phenotypic variation, quantitative trait loci, sires
- Bacterial cold water disease (BCWD) causes significant economic loss in salmonid aquaculture. We previously detected genetic variation in survival following challenge with Flavobacterium psychrophilum (Fp), the causative agent of BCWD in rainbow trout (Oncorhynchus mykiss). A family-based selection program to improve resistance was initiated in 2005 at the USDA National Center for Cool and Cold Water Aquaculture. Select crosses were made in 2007 and 2009 to evaluate family-based disease survival using Fp injection challenges. From each putative F₂/BC₁ family generated in 2009, 200–260 fish were challenged in 4–7 replicates per family. Whole genome QTL scans of three F₂/BC₁ families were conducted with about 270 informative microsatellite loci per family spaced at an average interval size of 6 cM throughout the rainbow trout genome. Markers on chromosomes containing QTL were further evaluated in three additional F₂/BC₁ families. The additional F₂/BC₁ families were sire or dam half-sibs (HS) of the initially genome scanned families. Overall, we identified nine major QTL on seven chromosomes that were significant or highly significant with moderate to large effects of at least 13 % of the total phenotypic variance. The largest effect QTL for BCWD resistance explaining up to 40 % of the phenotypic variance was detected on chromosome OMY8 in family 2009070 and in the combined dam HS family 2009069–070. The nine major QTL identified in this study are candidates for fine mapping to identify new markers that are tightly linked to disease resistance loci for using in marker assisted selection strategies.