Survival, growth and sexual maturation in Atlantic salmon exposed to infectious pancreatic necrosis:A multi-variate mixture model approach

Background Outbreaks of infectious pancreatic necrosis (IPN) in Atlantic salmon can result in reduced growth rates in a fraction of the surviving fish (runts). Genetic and environmental variation also affects growth rates within different categories of healthy animals and runts, which complicates id...

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Bibliographic Details
Published in:Genetics Selection Evolution
Main Authors: Lillehammer, Marie, Ødegård, Jørgen, Madsen, Per, Gjerde, Bjarne, Refstie, Terje, Rye, Morten
Format: Article in Journal/Newspaper
Language:English
Published: 2013
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Online Access:https://pure.au.dk/portal/en/publications/cc1bd5d8-380e-432f-8f6c-6c5c4b9eed74
https://doi.org/10.1186/1297-9686-45-8
https://pure.au.dk/ws/files/55076083/1297_9686_45_8.pdf
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Summary:Background Outbreaks of infectious pancreatic necrosis (IPN) in Atlantic salmon can result in reduced growth rates in a fraction of the surviving fish (runts). Genetic and environmental variation also affects growth rates within different categories of healthy animals and runts, which complicates identification of runts. Mixture models are commonly used to identify the underlying structures in such data, and the aim of this study was to develop Bayesian mixture models for the genetic analysis of health status (runt/healthy) of surviving fish from an IPN outbreak. Methods Five statistical models were tested on data consisting of 10 972 fish that died and 3959 survivors with recorded growth data. The most complex models (4 and 5) were multivariate normal-binary mixture models including growth, sexual maturity and field survival traits. Growth rate and liability of sexual maturation were treated as two-component normal mixtures, assuming phenotypes originated from two potentially overlapping distributions, (runt/normal). Runt status was an unobserved binary trait. These models were compared to mixture models with fewer traits (Models 2 and 3) and a classical linear animal model for growth (Model 1). Results Assuming growth as a mixture trait improved the predictive ability of the statistical model considerably (Model 2 vs. 1). The final models (4 and 5) yielded the following results: estimated (underlying) heritabilities were moderate for growth in healthy fish (0.32 +/- 0.04 and 0.35 +/- 0.05), runt status (0.39 +/- 0.07 and 0.36 +/- 0.08) and sexual maturation (0.33 +/- 0.05), and high for field survival (0.47 +/- 0.03 and 0.48 +/- 0.03). Growth in healthy animals, runt status and survival showed consistent favourable genetic associations. Sexual maturation showed an unfavourable non-significant genetic correlation with runt status, but favourable genetic correlations with other traits. The estimated fraction of healthy fish was 81-85%. The estimated breeding values for runt status and (normal) growth were ...