2009
DOI: 10.1038/hdy.2009.123
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Quantitative genetic architecture of parasite-induced cataract in rainbow trout, Oncorhynchus mykiss

Abstract: Parasites impose costs on their hosts. The capability to fight against them is of great advantage, but may also be traded off with other traits. Although often observed at the phenotypic level, our knowledge of the extent to which such trade-offs are genetically determined is relatively poor. We tested this possibility with a farmed rainbow trout population suffering from natural Diplostomum spp. infections that cause cataracts in fish. We estimated the heritability of cataract severity and examined phenotypic… Show more

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Cited by 18 publications
(29 citation statements)
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References 59 publications
(58 reference statements)
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“…Likewise, the genetic correlation of heart ratio with body weight of ascites-free birds (trait INTERCEPT) was 0.15. A similar change in correlation structure during growth occurs for skeletal deformations (Kause et al 2005) and cataract induced by a parasite in rainbow trout (Kuukka-Anttila et al 2010). …”
Section: Discussionmentioning
confidence: 64%
“…Likewise, the genetic correlation of heart ratio with body weight of ascites-free birds (trait INTERCEPT) was 0.15. A similar change in correlation structure during growth occurs for skeletal deformations (Kause et al 2005) and cataract induced by a parasite in rainbow trout (Kuukka-Anttila et al 2010). …”
Section: Discussionmentioning
confidence: 64%
“…in our population may create genetic variation in microenvironmental sensitivity. Some families remain uninfected while others have both infected and uninfected individuals, and the infected individuals exhibit reduced growth [48]. Third, social interactions associated with behavior and growth differences have also been found to create additional genetic variation in chicken and pigs [49], [50], and presumably in fish as well [51].…”
Section: Discussionmentioning
confidence: 99%
“…1). The normal distribution covers burden traits that are normally distributed at least after a transformation, such as log-normally and normally distributed pathogen/parasite counts, production diseases such as mastitis in dairy cows or ascites measured as a heart ratio in broilers (Green et al, 2004 ;Zerehdaran et al, 2006 ;Kuukka-Anttila et al, 2010). The negative binomial distribution, in turn, is perhaps the most widely used distribution to describe empirical parasite/parasitoid burdens (Stear et al, 1995).…”
Section: (I) Terminology Usedmentioning
confidence: 99%
“…So far, the genetic analyses of tolerance/resistance to infections have assumed such a linear relationship (e.g. Mauricio et al, 1997;Simms, 2000 ;Koskela et al, 2002 ;Ra˚berg et al, 2007 ;Kuukka-Anttila et al, 2010). However, in reality, the relationship may be non-linear, for example, sigmoidal or plateaulinear.…”
Section: (I) Random Regression Modelsmentioning
confidence: 99%