BMC Evolutionary Biology · 2007 · 87 citations · 77 references
Life SciencesBiologyGeneticsFish BiologyQuantitative GeneticsSexual SelectionFish Life HistoryFish ReproductionFish Reproductive BiologyFish Reproductive EcologyNatural SelectionParental InvestmentAdditive Genetic ValueAdditive Genetic VarianceAdditive VarianceDominance In FishEgg HatchabilityMale - Male CompetitionMale DominanceOffspring Survival
BACKGROUND: Males that are successful in intra-sexual competition are often assumed to be of superior quality. In the mating system of most salmonid species, intensive dominance fights are common and the winners monopolise most mates and sire most offspring. We drew a random sample of mature male brown trout (Salmo trutta) from two wild populations and determined their dominance hierarchy or traits linked to dominance. The fish were then stripped and their sperm was used for in vitro fertilisations in two full-factorial breeding designs. We recorded embryo viability until hatching in both experiments, and juvenile survival during 20 months after release into a natural streamlet in the second experiment. Since offspring of brown trout get only genes from their fathers, we used offspring survival as a quality measure to test (i) whether males differ in their genetic quality, and if so, (ii) whether dominance or traits linked to dominance reveal 'good genes'. RESULTS: We found significant additive genetic variance on embryo survival, i.e. males differed in their genetic quality. Older, heavier and larger males were more successful in intra-sexual selection. However, neither dominance nor dominance indicators like body length, weight or age were significantly linked to genetic quality measured as embryo or juvenile survival. CONCLUSION: We found no evidence that females can improve their offspring's genetic viability by mating with large and dominant males. If there still were advantages of mating with dominant males, they may be linked to non-genetic benefits or to genetic advantages that are context dependent and therefore possibly not revealed under our experimental conditions - even if we found significant additive genetic variation for embryo viability under such conditions.
77
R: A Language and Environment for Statistical Computing
R Core Team · 2000 · 353K citations · Full text
Natural Sciences, Computer Science, Statistical Computing +10
Kenneth P. Burnham, David R. Anderson · Sociological Methods & Research · 2004 · 11.6K citations
Genetics and Analysis of Quantitative Traits
Journal of Animal Breeding and Genetics · 2002 · 6.3K citations
Life Sciences, Biology, Genetics +12
Statistical confidence for likelihood‐based paternity inference in natural populations
Tristan Marshall, Jon Slate, Loeske E. B. Kruuk et al. · Molecular Ecology · 1998 · 4.3K citations
Life Sciences, Biology, Genetics +10