Mapping multiple genetic loci associated with Ceratomyxa shasta resistance inOncorhynchus mykiss

Diseases of Aquatic Organisms

Krista M. Nichols¹  Jerri Bartholomew¹  Gary H. Thorgaard¹ 

关键词: Ceratomyxa shasta;    Oncorhynchus mykiss;    Survival analysis;    Quantitative trait loci;   

DOI  :  10.3354/dao056145

学科分类：生物科学（综合）

来源: Inter-Research

【 摘 要 】

ABSTRACT: Ceratomyxa shasta is enzootic to some rivers of the Pacific Northwest and California, and has caused extensive mortalities of salmonids, the only known host of the actinosporean stage of the pathogen. Mortalities from C. shasta areinduced by severe inflammation and necrosis of the intestinal tract, and no therapeutants have been discovered for the treatment of ceratomyxosis. Inheritance studies by previous investigators suggested that C. shasta resistance is geneticallycontrolled, but none have revealed the number and locations of gene regions associated with resistance. Here, we characterized differences in resistance among clonal lines, and used line crosses between clonal lines with resistance differences for agenetic analysis of C. shasta resistance in Oncorhynchus mykiss, following a short term in situ exposure to the pathogen. We found that Oregon State University (OSU) x Arlee (ARL) clonal hybrids were highlysusceptible, while OSU x Clearwater (CW) hybrids were highly resistant to C. shasta. Doubled haploids, produced by androgenesis from an F₁ hybrid between the OSU and CW lines, were evaluated for theco-segregation of molecular markers and resistance phenotype. Amplified fragment length polymorphic (AFLP) markers, used to construct a genetic linkage map in this cross, were tested for associations with resistance expressed as absolute survival (binarytrait) and days to death (survival analysis). Segregation of the resistance phenotype suggested that the resistance was inherited as a single Mendelian locus, but the binary trait failed to map to a single genomic location. Markers identified insingle-marker analyses were used in multiple-regression model selection, within both the linear regression and Cox proportional-hazards survival analysis frameworks, to determine the number and potential location of loci simultaneously contributing tovariation in the survival phenotypes of doubled-haploid progeny. We found multiple genomic loci associated with C. shasta resistance through these models, confirming studies by previous investigators that suggested C. shasta resistance ispolygenic.

【 授权许可】

Unknown