Sleep is highly conserved throughout the animal kingdom at the physiological, functional, and behavioral levels1,2,3. While sleep in mammalian laboratory animals is typically assessed using electroencephalograms, electrophysiological recordings are less practical in small genetically amenable model systems and thus sleep is typically measured based on behavior3,4. Behavioral characteristics associated with sleep are highly conserved throughout the animal kingdom and include increased arousal threshold, reversibility with stimulation, and prolonged behavioral quiescence5. These measures can be used to characterize sleep in animals ranging from the nematode worm, C. elegans, through humans6.
The use of behavioral quiescence to characterize sleep requires automated tracking software. With tracking software, periods of activity and immobility are determined over a number of days, and long periods of inactivity are classified as sleep7,8. In recent years, multiple tracking systems have been developed for acquiring activity data among a diversity of small genetically-amenable model systems; including worms, fruit flies and fish9,10,11. These programs are accompanied by software that allows for automated tracking of animal behavior, including both open source freeware and commercially available software7,12,13,14. These systems differ in their flexibility and allow for efficient screening and characterization of sleep phenotypes in numerous genetically amendable models.
Genetic investigation of sleep in the zebrafish, Danio rerio, has led to the identification of numerous genes and neural circuits that regulate sleep15,16. While this has provided a powerful system for investigating the neural basis of sleep in a vertebrate laboratory animal, much less is known about how sleep evolves and how natural variation contributes to sleep regulation. The Mexican cavefish, Astyanax mexicanus (A. mexicanus), have evolved dramatic differences in sleep, locomotor activity and circadian rhythms17,18. These fish exist as eyed surface fish that inhabit the rivers of Mexico and Southern Texas and at least 29 cave populations around the Sierra Del Abra region of Northeast Mexico19,20,21. Remarkably, many behavioral differences, including sleep loss, appear to have emerged independently in multiple cavefish populations14,22. Therefore, cavefish provide a model for investigating the convergent evolution of sleep, circadian, and social behaviors.
This protocol describes a system for measuring sleep and locomotor behavior in A. mexicanus larvae and adults. A custom-built infrared-based recording system allows for video recording of animals under light and dark conditions. Commercially available software can be used to measure activity and custom macros are used to quantify several aspects of inactivity and determine periods of sleep. This protocol also describes experimental modifications for tracking the activity of multiple animals within a tank, providing the ability to examine interactions between sleep and social behaviors. These systems can be applied to measure sleep, circadian behavior, and locomotor activity in additional fish species including zebrafish and sticklebacks.