title: Evidence of major genes affecting resistance to bacterial cold water disease in rainbow trout using Bayesian methods of segregation analysis.
abstract: Bacterial cold water disease (BCWD) causes significant economic loss in salmonid aquaculture. We previously detected genetic variation for BCWD resistance in our rainbow trout population, and a family-based selection program to improve resistance was initiated at the National Center for Cool and Cold Water Aquaculture (NCCCWA). This study investigated evidence of major trait loci affecting BCWD resistance using only phenotypic data (without using genetic markers) and Bayesian methods of segregation analysis (BMSA). A total of 10,603 juvenile fish from 101 full-sib families corresponding to 3 generations (2005, 2007, and 2009 hatch years) of the NCCCWA population were challenged by intraperitoneal injection with Flavobacterium psychrophilum, the bacterium that causes BCWD. The results from single- and multiple-QTL models of BMSA suggest that 6 to 10 QTL explaining 83 to 89% of phenotypic variance with either codominant or dominant disease-resistant alleles plus polygenic effects may underlie the genetic architecture of BCWD resistance. This study also highlights the importance of polygenic background effects in the genetic variation of BCWD resistance. The polygenic heritability on the observed scale of survival status is slightly larger than that previously reported for rainbow trout BCWD resistance. These findings provide the basis for designing informative crosses for QTL mapping and carrying out genome scans for QTL affecting BCWD resistance in rainbow trout.
authors.affiliation: National Center for Cool and Cold Water Aquaculture, USDA/ARS, 11861 Leetown Rd., Kearneysville, WV 25430, USA. roger.vallejo@ars.usda.gov
authors.forename: R L
authors.initials: RL
authors.lastname: Vallejo
authors.forename: G D
authors.initials: GD
authors.lastname: Wiens
authors.forename: C E
authors.initials: CE
authors.lastname: Rexroad
authors.forename: T J
authors.initials: TJ
authors.lastname: Welch
authors.forename: J P
authors.initials: JP
authors.lastname: Evenhuis
authors.forename: T D
authors.initials: TD
authors.lastname: Leeds
authors.forename: L L G
authors.initials: LL
authors.lastname: Janss
authors.forename: Y
authors.initials: Y
authors.lastname: Palti
mesh_terms: D000818:Animals; D001499:Bayes Theorem; D001947:Breeding; D005260:Female; D005393:Fish Diseases / Q000235:genetics / Q000382:microbiology*; D045826:Flavobacteriaceae Infections / Q000235:genetics / Q000382:microbiology / Q000662:veterinary*; D005417:Flavobacterium / Q000145:classification / Q000472:pathogenicity; D020022:Genetic Predisposition to Disease; D008297:Male; D008957:Models, Genetic; D017686:Oncorhynchus mykiss / Q000235:genetics*; D040641:Quantitative Trait Loci; D012984:Software