Survival of the Currently Fittest: Genetics of Rainbow Trout Survival Across Time and Space
Author(s) -
Harri Vehviläinen,
Antti Kause,
Cheryl Quinton,
Heikki Koskinen,
Tuija Paananen
Publication year - 2008
Publication title -
genetics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.792
H-Index - 246
eISSN - 1943-2631
pISSN - 0016-6731
DOI - 10.1534/genetics.108.089896
Subject(s) - heritability , biology , trait , genetic architecture , genetic variation , rainbow trout , selection (genetic algorithm) , genetics , survival of the fittest , genetic correlation , survival analysis , evolutionary biology , quantitative trait locus , statistics , fish <actinopterygii> , gene , artificial intelligence , fishery , computer science , programming language , mathematics
As a fitness trait, survival is assumed to exhibit low heritability due to strong selection eroding genetic variation and/or spatio-temporal variation in mortality agents reducing genetic and increasing residual variation. The latter phenomenon in particular may contribute to low heritability in multigeneration data, even if certain cohorts exhibit significant genetic variation. Analysis of survival data from 10 year classes of rainbow trout reared at three test stations showed that treating survival as a single trait across all generations resulted in low heritability (h2 = 0.08-0.17). However, when heritabilities were estimated from homogeneous generation and test station-specific cohorts, a wide range of heritability values was revealed (h2 = 0.04-0.71). Of 64 genetic correlations between different cohorts, 20 were positive, but 16 were significantly negative, confirming that genetic architecture of survival is not stable across generations and environments. These results reveal the existence of hidden genetic variation for survival and demonstrate that treating survival as one trait over several generations may not reveal its true genetic architecture. Negative genetic correlations between cohorts indicate that overall survival has limited potential to predict general resistance, and care should be taken when using it as selection criterion.
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