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Method Article

Automated Measurements of Sleep and Locomotor Activity in Mexican Cavefish

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DOI:

10.3791/59198

March 21st, 2019

In This Article

Summary

This protocol details the methodology for quantifying locomotor behavior and sleep in the Mexican cavefish. Previous analyses are extended to measure these behaviors in socially-housed fish. This system can be widely applied to study sleep and activity in other fish species.

Abstract

Across phyla, sleep is characterized by highly conserved behavioral characteristics that include elevated arousal threshold, rebound following sleep deprivation, and consolidated periods of behavioral immobility. The Mexican cavefish, Astyanax mexicanus (A. mexicanus), is a model for studying trait evolution in response to environmental perturbation. A. mexicanus exist as in eyed surface-dwelling forms and multiple blind cave-dwelling populations that have robust morphological and behavioral differences. Sleep loss has occurred in multiple, independently-evolved cavefish populations. This protocol describes a methodology for quantifying sleep and locomotor activity in A. mexicanus cave and surface fish. A cost-effective video monitoring system allows for behavioral imaging of individually-housed larval or adult fish for periods of a week or longer. The system can be applied to fish aged 4 days post fertilization through adulthood. The approach can also be adapted for measuring the effects of social interactions on sleep by recording multiple fish in a single arena. Following behavioral recordings, data is analyzed using automated tracking software and sleep analysis is processed using customized scripts that quantify multiple sleep variables including duration, bout length, and bout number. This system can be applied to measure sleep, circadian behavior, and locomotor activity in almost any fish species including zebrafish and sticklebacks.

Introduction

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 w....

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Protocol

NOTE: Set up systems for behavioral tracking in larvae and adults.

1. Constructing a Sleep System for Larvae

NOTE: The monitoring system for tracking larval through juvenile fish aged 4 days post fertilization (dpf) through 30 dpf A. mexicanus requires multiple pieces of equipment including infrared (IR) lighting, acrylic IR light diffusers, automated light controls (timers), computers, cameras, and secondary materials such as wiring and power controllers (Figure 1A). The following instructions will inform how to build a system to accurately track locomotor be....

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Results

Larvae ages 4-30 dpf can be reliably recorded in the custom-build closed system described in Figure 1. The system includes both IR and visible lighting to allow for recordings under light and dark conditions, under various visible light conditions (Figure 1A). The videos are then analyzed using tracking software (Figure 1B,C) and post-processed using a custom sleep macro (See

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Discussion

This protocol describes a custom system for quantifying sleep and locomotor activity in larval and adult cavefish. Cavefish have emerged as a leading model for studying the evolution of sleep that can be used to investigate the genetic and neural basis of sleep regulation1. The critical steps in this protocol include optimization of lighting and video quality in order to assure accurate tracking that is necessary to quantify sleep. The system for acquisition and analysis described here are fully f.......

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Disclosures

The authors declare they have no competing interests.

Acknowledgements

This work was supported by NIGMS award GM127872 ACK, NINDS award 105072 to ERD and ACK, and NSF award 1656574 to ACK.

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Materials

List of materials used in this article
NameCompanyCatalog NumberComments
12 V power adaptorEnvironmental Lights24 Watt 12 VDC Power Supply
Acrylic dividers (adults)TAP PlasticOrder sheets in sizes as needed
Adult infrared light power sourceEnvironmnental Lights 24 Watt 12 VDC Power Supply
Battery packCyberPowerCP850PFCLCD
Camera lens (adult)Navitar Zoom 7000Zoom 7000
Camera lens (larval)Fujian 35mm f/1.7B01CHX7668Purchase on Amazon
Camera lens adapterd1524219
Camera mountCowboyStudio Super ClampB002LV7X1KPurchase on Amazon
Fish tankDeep Blue ProfessionalADB11006
Heat sink (adult)M-D Building productsSKU: 61085Cut to fit
Heat sink (larval)M-D Building productsSKU: 57000Cut to fit
Infrared lights (adults)Environmental Lights Infrared 850 nm 5050 LED stripirrf850-5050-60-reelCut to fit
Infrared lights (larval)LED WorldB00MO9H7H4Purchase on Amazon
IR-diffusing acrylicTAP PlasticOrder sheets in sizes as needed
Laptop/computerN/AN/AAny laptop will work.
LED lightChanzon 10 High Power Led Chip 3W White (6000K-6500K/600mA-700mA/DC 3V-3.4V/3 Watt)B06XKTRSP7Use with Chanzon 25 pcs 1 W, 3 W, 5 W LED Heat Sink (2 pin Black) Aluminum Base Plate Panel
light timerCentury 24 Hour Plug-in Mechanical Timer Grounded
Plastic wall mount for IREverbilt Plastic pegboardModel # 17961
Power cableBNTECHGO 22 Gauge Silicone WireB01K4RPE0Y
Power sourceRapid LEDMOONLIGHT DRIVER (350MA)
Tissue culture platesFisherbrand12-well (FB012928) 24-well (FB012929)
Tripod Ball headDemon DB-44B00TQ54CZOPurchase on Amazon
USB HardriveSeagate 3TB backupSTDT3000100
USB WebcamMicrosoft LifeCamQ2F-00014Purchase on Amazon
Wall mount for cameraLDR Industries 1/2" Steel pipe307 12X36Mounted on wall with Flange and 90° pipe elbow. Could also use a tripod to hold camera.

References

  1. Keene, A. C., Duboue, E. R. The origins and evolution of sleep. The Journal of Experimental Biology. , (2018).
  2. Joiner, W. J. Unraveling the Evolutionary Determinants of Sleep. Current Biology. 26 (20), R1073-R1087 (2016).
  3. Allada, R., Siegel, J. M.

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Tags

Sleep AnalysisVideo MonitoringAutomated TrackingBehavioral ImagingSleep VariablesCircadian BehaviorZebrafish ModelStickleback Fish