No abstract

The identification of functional polymorphisms in genes that underlie behavioural trait variation is a challenging but intriguing task in evolutionary biology. Given the wealth of genomic data and the increasing number of genotype–phenotype association studies in model organisms, one can ask whether and how this information can be used for non-model organisms. Here we describe two strategies to search for likely functional polymorphisms in candidate genes in a bird species that has been intensively studied by behavioural and population ecologists, the blue tit Cyanistes caeruleus. In the first approach we searched for repeating elements in coding regions of the genome using information about repeats in Gallus gallus genes. The rationale is that tandem-repeat elements have a high potential to be polymorphic and functional. The second strategy aimed to replicate reported genotype–phenotype association studies by extrapolating results from model organisms to our study species. Both strategies showed high success rates with respect to finding homologous gene regions and potentially informative genetic variants in the genes AANAT, ADCYAP1, CKIε, CLOCK, CREB1, NPAS2 and PERIOD2.Electronic supplementary materialThe online version of this article (doi:10.1007/s10709-008-9318-y) contains supplementary material, which is available to authorized users.

Sleep is ubiquitous in animals, but there is great inter‐ and intraspecific variation in the daily amount of sleep that is needed. Chronic sleep curtailment or experimental sleep deprivation are known to impair health and performance of individuals, but not much is known about the fitness consequences of naturally occurring variation in sleep behaviour. Here we test for assortative mating in sleep behaviour and for correlations between sleep phenotypes and reproductive success and survival in a free‐living blue tit population. We found that partners of a social breeding pair were mated assortatively in regard to standardized awakening time, i.e. awakening time relative to that of other birds of the same sex in the population. We found no evidence for assortative mating for other sleep parameters. In female blue tits no sleep parameter that we measured was significantly correlated with lay date or clutch size. Females that had extra‐pair young in their brood did not differ in awakening time, or in any other sleep parameter, compared to females without extra‐pair young. In males, the probability of siring extra‐pair young was related to sleep onset and sleep duration, but not as predicted. Males that began to sleep earlier and slept longer were more likely to sire extra‐pair offspring. None of the sleep parameters were significantly correlated with local survival of first‐year birds. Our results suggest that there is no strong effect of variation in sleep behaviour on fitness in blue tits, at least under natural conditions. Such a relationship might only become evident when natural sleep patterns are experimentally disturbed, or when sleep quality is affected by anthropogenic noise or light pollution.

The regulation of sleep in animals is controlled by environmental factors, homeostatic mechanisms and endogenous circadian oscillators. The molecular mechanisms underlying such circadian oscillators have been described in detail and a variety of genes that are components of these molecular clocks have been reported. In addition to inter-specific variation in the temporal organization of sleep, there is significant intra-specific variation in different organisms. From numerous studies in humans it is known that polymorphisms in the regulatory clock genes are causing such variation but knowledge about associations between naturally occurring polymorphisms and sleep patterns in wild animals is scarce. In this study, we investigated the phenotypic sleep correlates of eleven previously described polymorphisms in seven candidate genes within a free-living blue tit Cyanistes caeruleus population. We detected associations between four single nucleotide polymorphisms and three of the nine tested sleep parameters representing temporal organization. Awakening time was associated with polymorphisms in AANAT and PERIOD2, morning latency with a polymorphism in CKIε and the duration of the longest sleep bout with a second polymorphism in AANAT. However, by a permutation procedure we showed that the number of significant results and the most significant association has a study-wide likelihood of 46.7 and 5.9 % respectively. Further replication studies are needed to evaluate the potential associations.