Invited review: genetic dissection of sleep

Use of Drosophila in the investigation of sleep disorders

Genetic underpinnings for sleep disorders in humans remain poorly identified, investigated and understood. This is due to the inherent complexity of sleep and a disruption of normal sleep parameters in a number of neurological disorders. On the other hand, there have been steady and remarkable developments in the investigation of sleep using model organisms such as Drosophila. These studies have illuminated conserved genetic pathways, neural circuits and intra-cellular signaling modules in the regulation of sleep. Additionally, work in model systems is beginning to clarify the role of the circadian clock and basal sleep need in this process. There have also been initial efforts to directly model sleep disorders in flies in a few instances where a genetic basis has been suspected. Here, we discuss the opportunities and limitations of studying sleep disorders in Drosophila and propose that a greater convergence of basic sleep research in model organisms and human genetics should catalyze better understanding of sleep disorders and generate viable therapeutic options.

Ecology and neurophysiology of sleep in two wild sloth species

STUDY OBJECTIVES

Interspecific variation in sleep measured in captivity correlates with various physiological and environmental factors, including estimates of predation risk in the wild. However, it remains unclear whether prior comparative studies have been confounded by the captive recording environment. Herein we examine the effect of predation pressure on sleep in sloths living in the wild.

DESIGN

Comparison of two closely related sloth species, one exposed to predation and one free from predation.

SETTING

Panamanian mainland rainforest (predators present) and island mangrove (predators absent).

PARTICIPANTS

Mainland (Bradypus variegatus, five males and four females) and island (Bradypus pygmaeus, six males) sloths.

INTERVENTIONS

None.

MEASUREMENTS AND RESULTS

Electroencephalographic (EEG) and electromyographic (EMG) activity was recorded using a miniature data logger. Although both species spent between 9 and 10 h per day sleeping, the mainland sloths showed a preference for sleeping at night, whereas island sloths showed no preference for sleeping during the day or night. Standardized EEG activity during nonrapid eye movement (NREM) sleep showed lower low-frequency power, and increased spindle and higher frequency power in island sloths when compared to mainland sloths.

CONCLUSIONS

In sloths sleeping in the wild, predation pressure influenced the timing of sleep, but not the amount of time spent asleep. The preference for sleeping at night in mainland sloths may be a strategy to avoid detection by nocturnal cats. The pronounced differences in the NREM sleep EEG spectrum remain unexplained, but might be related to genetic or environmental factors.

Behavioral and electrophysiological correlates of sleep and sleep homeostasis

The definition of what sleep is depends on the method that is applied to record sleep. Behavioral and (electro)-physiological measures of sleep clearly overlap in mammals and birds , but it is often unclear how these two relate in other vertebrates and invertebrates. Homeostatic regulation of sleep, where the amount of sleep depends on the amount of previous waking, can be observed in physiology and behavior in all animals this was tested in. In mammals and birds, sleep is generally subdivided into two states, non-rapid eye movement (NREM) sleep and REM sleep. In mammals the combination of behavioral sleep and the changes in the slow-wave range of the NREM sleep electroencephalogram (EEG) can explain and predict the occurrence and depth of sleep in great detail. For REM sleep this is far less clear. Finally, the discovery that slow-waves in the NREM sleep EEG are influenced locally on the cortex depending on prior waking behavior is an interesting new development that asks for an adaptation of the concept of homeostatic regulation of sleep. Incorporating local sleep into models of sleep regulation is needed to obtain a comprehensive picture.

Rapid assessment of sleep-wake behavior in mice

Sleep is a fundamental biological rhythm involving the interaction of numerous brain structures and diverse neurotransmitter systems. The primary measures used to define sleep are the electroencephalogram (EEG) and electromyogram (EMG). However, EEG-based methods are often unsuitable for use in high-throughput screens as they are time-intensive and involve invasive surgery. As such, the dissection of sleep mechanisms and the discovery of novel drugs that modulate sleep would benefit greatly from further development of rapid behavioral assays to assess sleep in animal models. Here is described an automated noninvasive approach to evaluate sleep duration, latency, and fragmentation using video tracking of mice in their home cage. This approach provides a high correlation with EEG/EMG measures under both baseline conditions and following administration of pharmacological agents. Moreover, the dose-dependent effects of sedatives, stimulants, and light can be readily detected. This approach is robust yet relatively inexpensive to implement and can be easily incorporated into ongoing screening programs to provide a powerful first-pass screen for assessing sleep and allied behaviors.

Fatty-acid binding proteins modulate sleep and enhance long-term memory consolidation in Drosophila

Sleep is thought to be important for memory consolidation, since sleep deprivation has been shown to interfere with memory processing. However, the effects of augmenting sleep on memory formation are not well known, and testing the role of sleep in memory enhancement has been limited to pharmacological and behavioral approaches. Here we test the effect of overexpressing the brain-type fatty acid binding protein (Fabp7) on sleep and long-term memory (LTM) formation in Drosophila melanogaster. Transgenic flies carrying the murine Fabp7 or the Drosophila homologue dFabp had reduced baseline sleep but normal LTM, while Fabp induction produced increases in both net sleep and LTM. We also define a post-training consolidation “window” that is sufficient for the observed Fabp-mediated memory enhancement. Since Fabp overexpression increases consolidated daytime sleep bouts, these data support a role for longer naps in improving memory and provide a novel role for lipid-binding proteins in regulating memory consolidation concurrently with changes in behavioral state.

CLOCK gene variants associate with sleep duration in two independent populations

BACKGROUND

Sleep is an active and complex behavior, yet it has two straightforward properties-timing and duration. Clock genes are associated with dysfunctional timing of sleep, mood, and obesity disorders, which are commonly associated with sleep duration.

METHODS

Sleep duration was assessed in Central Europe, Estonia, and South Tyrol (n approximately 77,000) with the Munich ChronoType Questionnaire. It showed a Gaussian distribution in all investigated populations after averaging over a standard workweek and normalization according to age and gender. A follow-up, two-stage design, linkage disequilibrium-based association study was conducted with subjects from South Tyrol (discovery sample; n = 283) and with short (< 7 hours) and long (> 8.5 hours) sleepers from Estonia (confirmation sample; n = 1011). One hundred ninety-four single nucleotide polymorphism markers covering 19 candidate clock genes were genotyped in the discovery sample, and two of the best association signals (analyzed by a linear regression model) were investigated in the confirmation sample.

RESULTS

Single and multi-marker associations were found within a CLOCK gene intronic region (rs12649507 and rs11932595). In a meta-analysis between South Tyrol and Estonia association signals, rs12649507 (p = .0087) remained significant. Significance persisted only for the multiple-marker association signal of the rs12649507/rs11932595 haplotype GGAA with long sleep (p = .0015).

CONCLUSIONS

We report an association between variants of the human CLOCK gene and sleep duration in two independent populations. This adds another putative function for CLOCK besides its possible involvement in circadian timing, depression, obesity, and personality.

REM and NREM sleep mentation

We review the literature on the neurobiology of rapid eye movement (REM) and non-rapid eye movement (NREM) sleep states and associated dreams. REM is associated with enhanced activation of limbic and amygdalar networks and decreased activation in dorsal prefrontal regions while stage II NREM is associated with greater cortical activation than REM. Not surprisingly, these disparate brain activation patterns tend to be associated with dramatically different dream phenomenologies and dream content. We present two recent studies which content-analyzed hundreds of dream reports from REM and NREM sleep states. These studies demonstrated that dreamer-initiated aggressive social interactions were more characteristic of REM than NREM, and dreamer-initiated friendliness was more characteristic of NREM than REM reports. Both REM and NREM dreams therefore may function to simulate opposing types of social interactions, with the REM state specializing in simulation of aggressive interactions and the NREM state specializing in simulation of friendly interactions. We close our review with a summary of evidence that dream content variables significantly predict daytime mood and social interactions.

Understanding the neurogenetics of sleep: progress from Drosophila

Most behaviors manifest themselves through interactions with environments. Sleep, however, is characterized by immobility and reduced responsiveness. Although nearly all animals sleep, the purpose of sleep remains an enduring puzzle. Drosophila melanogaster exhibits all the behavioral characteristics of mammalian sleep, enabling the use of powerful genetic approaches to dissect conserved fundamental neurogenetic aspects of sleep. Drosophila studies over the past four years have identified novel genes and pathways modulating sleep, such as Shaker and sleepless, and candidate brain regions known to function in circadian regulation and learning and memory. Advances in systems genetics coupled with the ability to target specific brain regions enable the characterization of transcriptional networks and neural circuits contributing to phenotypic variation in sleep.

Uncovering the genetic landscape for multiple sleep-wake traits

Despite decades of research in defining sleep-wake properties in mammals, little is known about the nature or identity of genes that regulate sleep, a fundamental behaviour that in humans occupies about one-third of the entire lifespan. While genome-wide association studies in humans and quantitative trait loci (QTL) analyses in mice have identified candidate genes for an increasing number of complex traits and genetic diseases, the resources and time-consuming process necessary for obtaining detailed quantitative data have made sleep seemingly intractable to similar large-scale genomic approaches. Here we describe analysis of 20 sleep-wake traits from 269 mice from a genetically segregating population that reveals 52 significant QTL representing a minimum of 20 genomic loci. While many (28) QTL affected a particular sleep-wake trait (e.g., amount of wake) across the full 24-hr day, other loci only affected a trait in the light or dark period while some loci had opposite effects on the trait during the light vs. dark. Analysis of a dataset for multiple sleep-wake traits led to previously undetected interactions (including the differential genetic control of number and duration of REM bouts), as well as possible shared genetic regulatory mechanisms for seemingly different unrelated sleep-wake traits (e.g., number of arousals and REM latency). Construction of a Bayesian network for sleep-wake traits and loci led to the identification of sub-networks of linkage not detectable in smaller data sets or limited single-trait analyses. For example, the network analyses revealed a novel chain of causal relationships between the chromosome 17@29cM QTL, total amount of wake, and duration of wake bouts in both light and dark periods that implies a mechanism whereby overall sleep need, mediated by this locus, in turn determines the length of each wake bout. Taken together, the present results reveal a complex genetic landscape underlying multiple sleep-wake traits and emphasize the need for a systems biology approach for elucidating the full extent of the genetic regulatory mechanisms of this complex and universal behavior.

What are microarrays teaching us about sleep?

Many fundamental questions about sleep remain unanswered. The presence of sleep across phyla suggests that it must serve a basic cellular and/or molecular function. Microarray studies, performed in several model systems, have identified classes of genes that are sleep-state regulated. This has led to the following concepts: first, a function of sleep is to maintain synaptic homeostasis; second, sleep is a stage of macromolecule biosynthesis; third, extending wakefulness leads to downregulation of several important metabolic pathways; and, fourth, extending wakefulness leads to endoplasmic reticulum stress. In human studies, microarrays are being applied to the identification of biomarkers for sleepiness and for the common debilitating condition of obstructive sleep apnea.

Inter-individual differences in habitual sleep timing and entrained phase of endogenous circadian rhythms of BMAL1, PER2 and PER3 mRNA in human leukocytes

STUDY OBJECTIVES

Individual sleep timing differs and is governed partly by circadian oscillators, which may be assessed by hormonal markers, or by clock gene expression. Clock gene expression oscillates in peripheral tissues, including leukocytes. The study objective was to determine whether the endogenous phase of these rhythms, assessed in the absence of the sleep-wake and light-dark cycle, correlates with habitual sleep-wake timing.

DESIGN

Observational, cross-sectional.

SETTING

Home environment and Clinical Research Center.

PARTICIPANTS

24 healthy subjects aged 25.0 +/- 3.5 (SD) years.

MEASUREMENTS

Actigraphy and sleep diaries were used to characterize sleep timing. Circadian rhythm phase and amplitude of plasma melatonin, cortisol, and BMAL1, PER2, and PER3 expression were assessed during a constant routine.

RESULTS

Circadian oscillations were more robust for PER3 than for BMAL1 or PER2. Average peak timings were 6:05 for PER3, 8:06 for PER2, 15:06 for BMAL1, 4:20 for melatonin, and 10:49 for cortisol. Individual sleep-wake timing correlated with the phases of melatonin and cortisol. Individual PER3 rhythms correlated significantly with sleep-wake timing and the timing of melatonin and cortisol, but those of PER2 and BMAL1 did not reach significance. The correlation between sleep timing and PER3 expression was stronger in individuals homozygous for the variant of the PER3 polymorphism that is associated with morningness.

CONCLUSIONS

Individual phase differences in PER3 expression during a constant routine correlate with sleep timing during entrainment. PER3 expression in leukocytes represents a useful molecular marker of the circadian processes governing sleep-wake timing.

Mouse behavioral assays relevant to the symptoms of autism

While the cause of autism remains unknown, the high concordance between monozygotic twins supports a strong genetic component. The importance of genetic factors in autism encourages the development of mutant mouse models, to advance our understanding of biological mechanisms underlying autistic behaviors. Mouse models of human neuropsychiatric diseases are designed to optimize (i) face validity (resemblance to the human symptoms) (ii) construct validity (similarity to the underlying causes of the disease) and (iii) predictive validity (expected responses to treatments that are effective in the human disease). There is a growing need for mouse behavioral tasks with all three types of validity, to define robust phenotypes in mouse models of autism. Ideal mouse models will incorporate analogies to the three diagnostic symptoms of autism: abnormal social interactions, deficits in communication and high levels of repetitive behaviors. Social approach is tested in an automated three chambered apparatus that offers the subject a choice between spending time with another mouse, with a novel object, or remaining in an empty familiar environment. Reciprocal social interaction is scored from videotapes of interactions between pairs of unfamiliar mice. Communication is evaluated by measuring emission and responses to vocalizations and olfactory cues. Repetitive behaviors are scored for measures of grooming, jumping, or stereotyped sniffing of one location or object. Insistence on sameness is modeled by scoring a change in habit, for example, reversal of the spatial location of a reinforcer in the Morris water maze or T-maze. Associated features of autism, for example, mouse phenotypes relevant to anxiety, seizures, sleep disturbances and sensory hypersensitivity, may be useful to include in a mouse model that meets some of the core diagnostic criteria. Applications of these assays include (i) behavioral phenotyping of transgenic and knockout mice with mutations in genes relevant to autism; (ii) characterization of inbred strains of mice; (iii) evaluation of environmental toxins; (iv) comparison of behavioral phenotypes with genetic factors, such as unusual expression patterns of genes or unusual single nucleotide polymorphisms; and (v) evaluation of proposed therapeutics for the treatment of autism.

Quantitative genetics of sleep in inbred mice

The timing and the organization of sleep architecture are mainly controlled by the circadian system, while sleep need and intensity are regulated by a homeostatic process. How independent these two systems are in regulating sleep is not well understood. In contrast to the impressive progress in the molecular genetics of circadian rhythms, little is known about the molecular basis of sleep. Nevertheless, as summarized here, phenotypic dissection of sleep into its most basic aspects can be used to identify both the single major genes and small effect quantitative trait loci involved. Although experimental models such as the mouse are more readily amenable to genetic analysis of sleep, similar approaches can be applied to humans.

Genomic and functional conservation of sedative-hypnotic targets in the zebrafish

OBJECTIVES

The zebrafish is an ideally suited vertebrate animal model for large-scale genetic screens and is emerging as a model organism in pharmacological and behavioral research. We investigated the effects of sedative hypnotics commonly used in humans on zebrafish locomotor activity and identified the corresponding genomic and receptor binding targets.

METHODS

We studied radioreceptor binding and behavioral responses to compounds with known sedative hypnotic properties representing multiple pharmacological classes. These included GABAergic hypnotics such as benzodiazepines, barbiturates, and baclofen; alpha-2 adrenergic agonists; and histaminergic H1 antagonists. An automated system was used to quantify behavioral effects. Zebrafish homologs of histamine receptor H1, gamma-amino-n-butyric acid type A (alpha-subunit), and gamma-amino-n-butyric acid type B (1 and 2) receptor genes were identified through translating queries of the zebrafish Zv4 database with human receptor protein sequences. A pilot screen of 154 N-ethyl-N-nitroso-urea-mutagenized F2 families was conducted with pentobarbital, flurazepam and mepyramine.

RESULTS

Radioreceptor binding studies revealed high affinity binding sites for known gamma-amino-n-butyric acid type A, gamma-amino-n-butyric acid type B, and histaminergic ligands. Drug immersion of 5-7-day-old larvae reduced mobility and, in some cases, produced a complete state of unresponsive immobility similar to anesthesia. These effects were dose-dependent and rapidly reversible in water. As established in mammals, (R)-baclofen was more active behaviorally and had higher affinity in binding studies when compared with (S)-baclofen. In this model, (S)-baclofen only partially reduced activity at high dose and blocked (R)-baclofen behavioral hypnotic effects. Genomic sequences with high similarity to the corresponding pharmacological targets were identified, but no mutants were found in the pilot screen.

CONCLUSIONS

These results demonstrate conservation of gene, protein and function for many established sedative hypnotic pathways. The results indicate feasibility of conducting large-scale pharmacogenomic screens to isolate novel proteins modulating susceptibility to hypnotic compounds in a vertebrate system.

Molecular analysis of sleep

Rest or sleep in all animal species constitutes a period of quiescence necessary for recovery from activity. Whether rest and activity observed in all organisms share a similar fundamental molecular basis with sleep and wakefulness in mammals has not yet been established. In addition and in contrast to the circadian system, strong evidence that sleep is regulated at the transcriptional level is lacking. Nevertheless, several studies indicate that single genesmay regulate some specific aspects of sleep. Efforts to better understand or confirm the role of known neurotransmission pathways in sleep-wake regulation using transgenic approaches resulted so far in only limited new insights. Recent gene expression profiling efforts in rats, mice, and fruit flies are promising and suggest that only a few gene categories are differentially regulated by behavioral state. How molecular analysis can help us to understand sleep is the focus of this chapter.

Spontaneous, homeostatic, and inflammation-induced sleep in NF-kappaB p50 knockout mice

The dimeric transcription factor nuclear factor-kappaB (NF-kappaB) regulates several endogenous sleep-modulatory substances and thereby serves as a pivotal mediator of sleep-wake homeostasis. To further define the role of NF-kappaB in sleep regulation, we monitored sleep and temperature in mice that lack the p50 subunit of NF-kappaB [p50 knockout (KO) mice]. Compared with the control B6129PF2/J strain, p50 KO mice spend more time in slow-wave sleep (SWS) and rapid eye movement sleep (REMS) under normal conditions and show enhanced homeostatic recovery of sleep after sleep loss. p50 KO mice also show increased SWS and reduced REMS and temperature after the administration of lipopolysaccharide, yet they are behaviorally less responsive to challenge with influenza virus. These data support a role for NF-kappaB, and, in particular, for the p50 subunit, in the regulation of sleep in healthy mice and in mice experiencing immune challenge.

Dialysis delivery of an adenosine A2Aagonist into the pontine reticular formation of C57BL/6J mouse increases pontine acetylcholine release and sleep

In vivo microdialysis in C57BL/6J (B6) mouse was used to test the hypothesis that activating adenosine A(2A) receptors in the pontine reticular formation (PRF) increases acetylcholine (ACh) release and rapid eye movement (REM) sleep. Eight concentrations of the adenosine A(2A) receptor agonist 2-p-(2-carboxyethyl)phenethylamino-5'-N-ethylcarboxamidoadenosine hydrochloride (CGS 21680; CGS) were delivered to the PRF and ACh in the PRF was quantified. ACh release was significantly increased by dialysis with 3 mum CGS and significantly decreased by dialysis with 10 and 100 microm CGS. Co-administration of the adenosine A(2A) receptor antagonist 4-(2-[7-amino-2-(2-furyl)[1,2,4]triazolo[2,3-a][1,3,5]triazin-5-ylamino]ethyl)phenol (ZM 241385; 30 nM) blocked the CGS-induced increase in ACh release. In a second series of experiments, CGS (3 microm) was delivered by dialysis to the PRF for 2 h while recording sleep and wakefulness. CGS significantly decreased time in wakefulness (-51% in h 1; -54% in h 2), increased time in non-rapid eye movement (NREM) sleep (90% in h 1; 151% in h 2), and increased both time in REM sleep (331% in h 2) and the number of REM sleep episodes (488% in h 2). The enhancement of REM sleep is consistent with the interpretation that adenosine A(2A) receptors in the PRF of the B6 mouse contribute to REM sleep regulation, in part, by increasing ACh release in the PRF. A(2A) receptor activation may promote NREM sleep via GABAergic inhibition of arousal promoting neurons in the PRF.

Nitric oxide in B6 mouse and nitric oxide-sensitive soluble guanylate cyclase in cat modulate acetylcholine release in pontine reticular formation

ACh regulates arousal, and the present study was designed to provide insight into the neurochemical mechanisms modulating ACh release in the pontine reticular formation. Nitric oxide (NO)-releasing beads microinjected into the pontine reticular formation of C57BL/6J (B6) mice significantly (P < 0.0001) increased ACh release. Microdialysis delivery of the NO donor N-ethyl-2-(1-ethyl-2-hydroxy-2-nitrosohydrazino)-ethanamine (NOC-12) to the mouse pontine reticular formation also caused a concentration-dependent increase in ACh release (P < 0.001). These are the first neurochemical data showing that ACh release in the pontine reticular formation of the B6 mouse is modulated by NO. The signal transduction cascade through which NO modulates ACh release in the pontine reticular formation has not previously been characterized. Therefore, an additional series of studies quantified the effects of a soluble guanylate cyclase (sGC) inhibitor, 1H-[1,2,4]oxadiazolo-[4,3-a]quinoxalin-1-one (ODQ), on ACh release in the cat medial pontine reticular formation. During naturally occurring states of sleep and wakefulness, but not anesthesia, ODQ caused a significant (P < 0.001) decrease in ACh release. These results show for the first time that NO modulates ACh in the medial pontine reticular formation of the cat via an NO-sensitive sGC signal transduction cascade. Isoflurane and halothane anesthesia have been shown to decrease ACh release in the medial pontine reticular formation. The finding that ODQ did not alter ACh release during isoflurane or halothane anesthesia demonstrates that these anesthetics disrupt the NO-sensitive sGC-cGMP pathway. Considered together, results from the mouse and cat indicate that NO modulates ACh release in arousal-promoting regions of the pontine reticular formation via an NO-sensitive sGC-cGMP pathway.

Trait-like individual differences in the human sleep electroencephalogram

We aimed to examine whether commonly observed individual differences in sleep architecture and the sleep electroencephalogram reflect individual traits, which are amenable to a genetic investigation of human sleep. We studied intra-individual stability and inter-individual variation in sleep and sleep electroencephalogram spectra across four baseline recordings of eight healthy young men. A similarity concept based on Euclidean distances between vectors was applied. Visually scored sleep variables served as feature vector components, along with electroencephalogram power spectra in non-rapid-eye-movement and rapid-eye-movement sleep. The distributions of similarity coefficients of feature vectors revealed a clear distinction between high within-subject similarity (i.e. stability), and low between-subject similarity (i.e. variation). Moreover, a cluster analysis based on electroencephalogram spectra in both non-rapid-eye-movement and rapid-eye-movement sleep segregated all four baseline nights of each individual into a distinct cluster. To investigate whether high and low sleep pressure affects the similarity coefficients, normalized non-rapid-eye-movement sleep electroencephalogram spectra of the first and second half of the recordings were compared. Because the electroencephalogram changes systematically in the course of the night, within-subject variation no longer differed from between-subject variation. In conclusion, our data provide evidence for trait-like characteristics in the sleep electroencephalogram. Further studies may help to identify distinct phenotypes to search for genes underlying functional aspects of undisturbed human sleep.

Timing and consolidation of human sleep, wakefulness, and performance by a symphony of oscillators

Daily rhythms in sleep and waking performance are generated by the interplay of multiple external and internal oscillators. These include the light-dark and social cycles, a circadian hypothalamic oscillator oscillating virtually independently of behavior, and a homeostatic oscillator driven primarily by sleep-wake behavior. Both internal oscillators contribute to variation in many aspects of sleep and wakefulness (e.g., sleep timing and duration, REM sleep, non-REM sleep, REM density, sleep spindles, slow-wave sleep, electroencephalographic oscillations during wakefulness and sleep, and performance parameters, including attention and memory). The relative contribution of the oscillators varies greatly between these variables. Sleep and performance cannot be predicted by either oscillator independently but critically depend on their phase relationship and amplitude. The homeostatic oscillator feeds back onto the central pacemaker or its outputs. Thus, the amplitude of observed circadian variation in sleep and performance depends on how long we have been asleep or awake. During entrainment to external 24-h cycles, the opposing interplay between circadian and homeostatic changes in sleep propensity consolidates sleep and wakefulness. Some physiological correlates and mediators of both the circadian process (e.g., melatonin and hypocretin rhythms) and the homeostat (e.g., EEG, slow-wave activity, and adenosine release) have been established, offering targets for the development of countermeasures for circadian sleep and performance disorders. Interindividual differences in sleep timing, duration, and morning or evening preference are associated with changes of circadian or sleep homeostatic processes or both. Molecular genetic correlates, including polymorphisms in clock genes, of some of these interindividual differences are emerging.

Reduced sleep in Drosophila Shaker mutants

Most of us sleep 7-8 h per night, and if we are deprived of sleep our performance suffers greatly; however, a few do well with just 3-4 h of sleep-a trait that seems to run in families. Determining which genes underlie this phenotype could shed light on the mechanisms and functions of sleep. To do so, we performed mutagenesis in Drosophila melanogaster, because flies also sleep for many hours and, when sleep deprived, show sleep rebound and performance impairments. By screening 9,000 mutant lines, we found minisleep (mns), a line that sleeps for one-third of the wild-type amount. We show that mns flies perform normally in a number of tasks, have preserved sleep homeostasis, but are not impaired by sleep deprivation. We then show that mns flies carry a point mutation in a conserved domain of the Shaker gene. Moreover, after crossing out genetic modifiers accumulated over many generations, other Shaker alleles also become short sleepers and fail to complement the mns phenotype. Finally, we show that short-sleeping Shaker flies have a reduced lifespan. Shaker, which encodes a voltage-dependent potassium channel controlling membrane repolarization and transmitter release, may thus regulate sleep need or efficiency.

Ventilatory behavior during sleep among A/J and C57BL/6J mouse strains

The pattern of breathing during sleep could be a heritable trait. Our intent was to test this genetic hypothesis in inbred mouse strains known to vary in breathing patterns during wakefulness (Han F, Subramanian S, Dick TE, Dreshaj IA, and Strohl KP. J Appl Physiol 91: 1962-1970, 2001; Han F, Subramanian S, Price ER, Nadeau J, and Strohl KP, J Appl Physiol 92: 1133-1140, 2002) to determine whether such differences persisted into non-rapid eye movement (NREM) and rapid eye movement (REM) sleep. Measures assessed in C57BL/6J (B6; Jackson Laboratory) and two A/J strains (A/J Jackson and A/J Harlan) included ventilatory behavior [respiratory frequency, tidal volume, minute ventilation, mean inspiratory flow, and duty cycle (inspiratory time/total breath time)], and metabolism, as performed by the plethsmography method with animals instrumented to record EEG, electromyogram, and heart rate. In all strains, there were reductions in minute ventilation and CO2 production in NREM compared with wakefulness (P < 0.001) and a further reduction in REM compared with NREM (P < 0.001), but no state-by-stain interactions. Frequency showed strain (P < 0.0001) and state-by-strain interactions (P < 0.0001). The A/J Jackson did not change frequency in REM vs. NREM [141 +/- 15 (SD) vs. 139 +/- 14 breaths/min; P = 0.92], whereas, in the A/J Harlan, it was lower in REM vs. NREM (168 +/- 14 vs. 179 +/- 12 breaths/min; P = 0.0005), and, in the B6, it was higher in REM vs. NREM (209 +/- 12 vs. 188 +/- 13 breaths/min; P < 0.0001). Heart rate exhibited strain (P = 0.003), state (P < 0.0001), and state-by-strain interaction (P = 0.017) and was lower in NREM sleep in the A/J Harlan (P = 0.035) and B6 (P < 0.0001). We conclude that genetic background affects features of breathing during NREM and REM sleep, despite broad changes in state, metabolism, and heart rate.

Designing mouse behavioral tasks relevant to autistic-like behaviors

The importance of genetic factors in autism has prompted the development of mutant mouse models to advance our understanding of biological mechanisms underlying autistic behaviors. Mouse models of human neuropsychiatric diseases are designed to optimize (1) face validity, i.e., resemblance to the human symptoms; (2) construct validity, i.e., similarity to the underlying causes of the disease; and (3) predictive validity, i.e., expected responses to treatments that are effective in the human disease. There is a growing need for mouse behavioral tasks with all three types of validity for modeling the symptoms of autism. We are in the process of designing a set of tasks with face validity for the defining features of autism: deficits in appropriate reciprocal social interactions, deficits in verbal social communication, and high levels of ritualistic repetitive behaviors. Social approach is tested in an automated three-chambered apparatus that offers the subject a choice between a familiar environment, a novel environment, and a novel environment containing a stranger mouse. Preference for social novelty is tested in the same apparatus, with a choice between the start chamber, the chamber containing a familiar mouse, and the chamber containing a stranger mouse. Social communication is evaluated by measuring the ultrasonic distress vocalizations emitted by infant mouse pups and the parental response of retrieving the pup to the nest. Resistance to change in ritualistic repetitive behaviors is modeled by forcing a change in habit, including reversal of the spatial location of a reinforcer in a T-maze task and in the Morris water maze. Mouse behavioral tasks that may model additional features of autism are discussed, including tasks relevant to anxiety, seizures, sleep disturbances, and sensory hypersensitivity. Applications of these tests include (1) behavioral phenotyping of transgenic and knockout mice with mutations in genes relevant to autism, (2) characterization of mutant mice derived from random chemical mutagenesis, (3) DNA microarray analyses of genes in inbred strains of mice that differ in social interaction, social communication and resistance to change in habit, and (4) evaluation of proposed therapeutics for the treatment of autism.

E pluribus unum, ex uno plura: quantitative and single-gene perspectives on the study of behavior

Genetic studies of behavior have traditionally come in two flavors: quantitative genetic studies of natural variants and single-gene studies of induced mutants. Each employed different techniques and methods of analysis toward the common, ultimate goal of understanding how genes influence behavior. With the advent of new genomic technologies, and also the realization that mechanisms underlying behavior involve a considerable degree of complex gene interaction, the traditionally separate strands of behavior genetics are merging into a single, synthetic strategy.

C57BL/6J and B6.V-LEPOB mice differ in the cholinergic modulation of sleep and breathing

Respiratory and arousal state control are heritable traits in mice. B6.V-Lep(ob) (ob) mice are leptin deficient and differ from C57BL/6J (B6) mice by a variation in the gene coding for leptin. The ob mouse has morbid obesity and disordered breathing that is homologous to breathing of obese humans. This study tested the hypothesis that microinjecting neostigmine into the pontine reticular nucleus, oral part (PnO), of B6 and ob mice alters sleep and breathing. In B6 and ob mice, neostigmine caused a concentration-dependent increase (P < 0.0001) in percentage of time spent in a rapid eye movement (REM) sleeplike state (REM-Neo). Relative to saline (control), higher concentrations of neostigmine increased REM-Neo duration and the number of REM-Neo episodes in B6 and ob mice and decreased percent wake, percent non-REM, and latency to onset of REM-Neo (P < 0.001). In B6 and ob mice, REM sleep enhancement by neostigmine was blocked by atropine. Differences in control amounts of sleep and wakefulness between B6 and the congenic ob mice also were identified. After PnO injection of saline, ob mice spent significantly (P < 0.05) more time awake and less time in non-REM sleep. B6 mice displayed more (P < 0.01) baseline locomotor activity than ob mice, and PnO neostigmine decreased locomotion (P < 0.0001) in B6 and ob mice. Whole body plethysmography showed that PnO neostigmine depressed breathing (P < 0.001) in B6 and ob mice and caused greater respiratory depression in B6 than ob mice (P < 0.05). Western blot analysis identified greater (P < 0.05) expression of M2 muscarinic receptor protein in ob than B6 mice for cortex, midbrain, cerebellum, and pons, but not medulla. Considered together, these data provide the first evidence that pontine cholinergic control of sleep and breathing varies between mice known to differ by a spontaneous mutation in the gene coding for leptin.

Acetylcholine release in the pontine reticular formation of C57BL/6J mouse is modulated by non-M1 muscarinic receptors

Pontine acetylcholine (ACh) contributes to the regulation of electroencephalographic and behavioral arousal in all mammals so far investigated. The mouse is recognized as a powerful model for pharmacogenomics but the synaptic mechanisms regulating ACh release in mouse pontine reticular formation have not been characterized. Drug delivery by microdialysis was used in isoflurane-anesthetized C57BL/6J (B6) mice (n=33) to test the hypothesis that muscarinic autoreceptors modulate ACh release in the pontine reticular nucleus, oral part (PnO). Dialysis delivery of tetrodotoxin to the PnO significantly decreased ACh by 58% below control levels, confirming that measured ACh reflected neurotransmitter release. The muscarinic antagonist scopolamine increased ACh release in the PnO by 21% (3 nM), 48% (10 nM), 56% (30 nM), and 104% (100 nM). The muscarinic agonist bethanechol dialyzed into the PnO significantly decreased ACh release by 60% compared with control. Dialysis delivery of relatively subtype selective muscarinic antagonists to the PnO revealed the following order of potency for increasing ACh release: scopolamine (3 nM)>AF-DX 116 (100 nM)=pirenzepine (100 nM). These data support the conclusion that ACh release in PnO of B6 mouse is modulated by non-M1 muscarinic receptors.

M2 muscarinic receptors in pontine reticular formation of C57BL/6J mouse contribute to rapid eye movement sleep generation

Microinjecting the acetylcholinesterase inhibitor neostigmine into the pontine reticular formation of C57BL/6J (B6) mouse causes a rapid eye movement (REM) sleep-like state. This finding is consistent with similar studies in cat and both sets of data indicate that the REM sleep-like state is caused by increasing levels of endogenous acetylcholine (ACh). Muscarinic cholinergic receptors have been localized to the pontine reticular formation of B6 mouse but no previous studies have examined which of the five muscarinic receptor subtypes participate in cholinergic REM sleep enhancement. This study examined the hypothesis that M2 receptors in pontine reticular formation of B6 mouse contribute to the REM sleep-like state caused by pontine reticular formation administration of neostigmine. B6 mice (n=13) were implanted with electrodes for recording states of sleep and wakefulness and with microinjection cannulae aimed for the pontine reticular formation. States of sleep and wakefulness were recorded for 4 h following pontine reticular formation injection of saline (control) or neostigmine. Experiments designed to gain insight into the muscarinic receptor subtypes mediating REM sleep enhancement involved pontine reticular formation administration of neostigmine after pertussis toxin, neostigmine after methoctramine, and neostigmine after pirenzepine. Pertussis toxin was used to block effects mediated by M2 and M4 receptors. Methoctramine was used to block M2 and M4 receptors, and pirenzepine was used to block M1 and M4 receptors. Pertussis toxin and methoctramine significantly decreased the neostigmine-induced REM sleep-like state. In contrast, pretreatment with pirenzepine did not significantly decrease the REM sleep-like state caused by neostigmine. These results support the interpretation that M2 receptors in the pontine reticular formation of B6 mouse contribute to the generation of REM sleep.

Searching for sleep mutants of Drosophila melanogaster

The functions of sleep are still unknown, but are probably related to cellular and molecular aspects of neural function. To better understand the benefits that sleep may bring at the cellular level, recent studies have employed Drosophila melanogaster as a model system and shown that fruit flies share the fundamental features of mammalian sleep. As in mammals, sleep in Drosophila is characterized by increased arousal threshold and by changes in brain electrical activity. Fly sleep is homeostatically regulated independent of the circadian clock, is modulated by stimulants and hypnotics, and is affected by age. Also, fly sleep is associated with changes in brain gene expression similar to those observed in mammals. While Drosophila neurobiology is sufficiently complex to permit meaningful generalizations to mammals and humans, Drosophila genetics is simple enough to allow a rapid mutagenesis screening. An ongoing mutagenesis study has screened approximately 5000 mutant Drosophila lines and found that sleep amount, sleep pattern, and the homeostatic regulation of sleep are highly conserved phenotypes in flies. So far, this study has identified 10 short sleeper lines and 4 lines that show no sleep rebound after sleep deprivation. Ultimately, the characterization of these lines should help identifying crucial cellular pathways involved in the regulatory mechanisms of sleep and its functional consequences.

Functional genomics of sleep

Functional genomics is a systematic and high-throughput effort to analyze the functions of genes and gene products. Functional genomics is divided into gene- and phenotype-driven approaches. Gene-driven approaches to the functional genomics of sleep have demonstrated that transcripts of many genes change as a function of behavioral state. A phenotype-driven approach includes identification and characterization of gene function through the analyses of natural polygenic traits, creation of transgenic animals or high-throughput mutagenesis. Identification of a gene for narcolepsy through QTL analyses and concomitantly using a transgenic approach is one example of the phenotype-driven approach to the functional genomics of sleep. Though the majority of functional genomics is currently performed in mice, the rat is emerging as an important model for genomic research. Since rest in Drosophila shares many features with mammalian sleep, this allows a comparative functional genomics approach to the study of rest and sleep. The concepts outlined here for the functional genomics of sleep are applicable to respiration research.

Perchance to dream: solving the mystery of sleep through genetic analysis

Sleep has been identified in all mammals and nonmammalian vertebrates that have been critically evaluated. In addition, sleep-like states have also been identified and described in several invertebrates. Despite this prevalence throughout the animal kingdom, the function of sleep remains a mystery. The completion of several genome sequencing projects has led to the expectation that fundamental aspects of sleep can be elucidated through genetic dissection. Indeed, studies in both the mouse and fly have begun to reveal tantalizing suggestions about the underlying principles that regulate sleep homeostasis. In this article we will review recent studies that have used genetic techniques to evaluate sleep in the fruit fly and the mouse.