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In This Article

  • Summary
  • Abstract
  • Introduction
  • Protocol
  • Results
  • Discussion
  • Disclosures
  • Acknowledgements
  • Materials
  • References
  • Reprints and Permissions

Summary

Here we present a protocol to automatically determine the locomotor performance of Drosophila at changing temperatures using a programmable temperature-controlled arena that produces fast and accurate temperature changes in time and space.

Abstract

Temperature is a ubiquitous environmental factor that affects how species distribute and behave. Different species of Drosophila fruit flies have specific responses to changing temperatures according to their physiological tolerance and adaptability. Drosophila flies also possess a temperature sensing system that has become fundamental to understanding the neural basis of temperature processing in ectotherms. We present here a temperature-controlled arena that permits fast and precise temperature changes with temporal and spatial control to explore the response of individual flies to changing temperatures. Individual flies are placed in the arena and exposed to pre-programmed temperature challenges, such as uniform gradual increases in temperature to determine reaction norms or spatially distributed temperatures at the same time to determine preferences. Individuals are automatically tracked, allowing the quantification of speed or location preference. This method can be used to rapidly quantify the response over a large range of temperatures to determine temperature performance curves in Drosophila or other insects of similar size. In addition, it can be used for genetic studies to quantify temperature preferences and reactions of mutants or wild-type flies. This method can help uncover the basis of thermal speciation and adaptation, as well as the neural mechanisms behind temperature processing.

Introduction

Temperature is a constant environmental factor that affects how organisms function and behave1. Differences in latitude and altitude lead to differences in the type of climates organism are exposed to, which results in evolutionary selection for their responses to temperature2,3. Organisms respond to different temperatures through morphological, physiological, and behavioral adaptations that maximize performance under their particular environments4. For instance, in the fruit fly Drosophila melanogaster, populations from different regions have different temperature preferences, body sizes, developmental times, longevity, fecundity, and walking performance at different temperatures2,5,6,7. The diversity observed between flies of different origins is explained in part by genetic variation and plastic gene expression8,9. Similarly, Drosophila species from different areas distribute differently among temperature gradients and show differences in resistance to extreme heat and cold tests10,11,12.

Drosophila has also recently become the model of choice to understand the genetic and neural basis of temperature perception13,14,15,16,17. Broadly, adult flies perceive temperature through cold and hot peripheral temperature sensors in the antennae and through temperature sensors in the brain13,14,15,16,17,18,19,20. The periphery receptors for hot temperatures express Gr28b.d16 or Pyrexia21, while the periphery cold receptors are characterized by Brivido14. In the brain, temperature is processed by neurons expressing TrpA115. Behavioral studies on mutants of these pathways are improving our understanding of how temperature is processed and give insights into mechanisms that vary among populations of Drosophila from different regions.

Here we describe a temperature-controlled arena that produces fast and precise temperature changes. Investigators can pre-program these changes, which allows for standardized and repeatable temperature manipulations without human intervention. Flies are recorded and tracked with specialized software to determine their position and speed at different phases of an experiment. The main measurement presented in this protocol is the walking speed at different temperatures, because it is an ecologically relevant index of physiological performance that can identify individual thermal adaptability5. Together with temperature receptor mutants, this technique can help reveal the mechanisms of thermal adaptation at cellular and biochemical levels.

Protocol

1. Preparation of Fly Food Medium

  1. Pour 1 L of tap water into a 2 L glass beaker and add a magnetic stir bar. Put the beaker on a magnetic hot plate at 300 °C until boiling temperature is reached.
  2. Stir at 500 rounds/min and add the following: 10 g of agar, 30 g of glucose, 15 g of sucrose, 15 g of cornmeal, 10 g of wheat germ, 10 g of soy flour, 30 g of molasses, and 35 g of active dry yeast.
  3. When the mix foams vigorously, turn down the hot plate temperature to 120 °C while continuing stirring.
  4. Turn the hot plate temperature further down to 30 °C after 10 min and continue stirring until the mix cools to 48 °C. Measure the temperature by inserting a thermometer directly into the food without touching the walls of the beaker.
  5. Dissolve 2 g of p-hydroxy-benzoic acid methyl ester into 10 mL of 96% ethanol and add it to the mix, together with 5 mL of 1 M propionic acid. Continue stirring for 3 min.
  6. Turn the hot plate off and pour 45 mL of food into the rearing bottles and 6.5 mL of food into the collection vials.

2. Preparation of Flies

  1. Place 20 male and 20 female flies in the rearing bottles containing 45 mL of fly food medium. Transfer the flies to new bottles after 3 to 4 days by tapping them down and then tapping them into the fresh bottles. Discard the flies after three changes.
    1. Place the bottles inside the incubator under 12-h light/12-h dark cycles with a constant temperature of 25 °C.
      NOTE: A new generation of flies will eclose after ten days.
  2. Anesthetize newly eclosed flies on carbon dioxide pads for a maximum of 4 min and collect them in 2.5 x 9.5 cm fly rearing vials with 6.5 mL of fly food medium using a paintbrush.
    1. Collect only virgin flies and separate them by sex into groups of 20 flies per rearing vial.
    2. Place the vials inside incubators for 5-7 days, changing the flies to new vials every 2-3 days and on the days before experiments.

3. Frame of Lights

  1. Make a wooden frame of 10 cm length, 4 cm width, 4 cm height, and 0.5 cm thick.
  2. On each of the short edges, create a border of 4 cm length, 4 cm height, and 1.5 cm width towards the inside area of the wooden frame. Leave the internal face of the border open.
  3. Drill two holes of 0.5 cm diameter at the intersection of one of the long edges of the wooden frame and at each of the borders at the short edges.
  4. Place 10 cm of a warm white LED strip inside each of the borders on the short edges. Peel the back of the LED strip to immediately glue it in place.
    NOTE: For experiments in which illumination needs to be eliminated, the warm white LED strip can be substituted for infrared LED strips.
  5. Connect one end of the LED strip in one of the borders to the switching power supply and its other end to the LED strip on the opposite border.
  6. Turn the switching power supply on to verify that both LED strips turn on.
  7. Cover the open side of each border with a white piece of paper.
  8. Glue another piece of paper to each of the internal phases of the long edges.

4. Temperature-Controlled Arena

  1. Turn on the temperature-controlled arena (Figure 1A and 1C). Ensure that the fan starts running and the aluminum ring starts warming up.
  2. Use a USB cable to connect the temperature-controlled arena to the control computer running the TemperaturePhases script with the temperature sequences.
  3. Open the TemperaturePhases script in the control computer and verify that the temperature sequence is properly set up (Video 1).
    1. Check that the duration of each experimental phase is set to 60 s by verifying that "par.StimulusDur" is equal to 60 s.
    2. Check that the 1) number equal to desired number of phases, 2) iterative ON/OFF set-up of the indicative red light emitting diodes (LEDs), 3) 2 °C temperature increase per phase, and 4) 16 °C as the starting temperature are all correct under the "Start the experimental block" section.
      NOTE: Allow the flies to acclimate to the Fly Arena for 7 min at 16 °C to avoid an artificial increase of speed during the first experimental phases (Figure 2).
    3. Run the TemperaturePhases script. The software will initialize for 5 seconds as determined in "arena.Wait" and then stop. 
    4. Press the spacebar of the keyboard to begin running the experimental phases once a fly has been blown into the Fly Arena (step 5.3).
      NOTE: The TemperaturePhases is the current script controlling the box; however, it is possible to create other custom scripts to use this device that adjust to the requirements of different experiments.
  4. Connect the camera on top of the arena to the recording computer using the camera's USB cable.
  5. Open the video recording program (see Table of Materials) in the recording computer by selecting "File | New Movie Recording". A screen showing the image from the camera will open.
    1. Ensure that the camera image captures all edges of the arena and the indicative red LEDs.
    2. Start recording by pressing the red button in the middle of the screen's bottom edge showing the camera image once the frame of lights is set around the arena (step 5.4).
      NOTE: Small changes in lighting can affect accuracy of the tracking. It is recommended to keep the illumination of the temperature-controlled arena constant by fixing the location of the apparatus.

5. Temperature Behavioral Experiments

  1. Prepare the Fly Arena (Figure 1C).
    1. Place a strand of white conductive tape on the top of the copper tiles, ensuring all edges are covered.
    2. Place the heated aluminum ring around the copper tiles. The edge of the ring fits perfectly around the copper tiles so it is always placed in the same location.
    3. Clean the glass cover with a clean tissue and place it on the top of the aluminum ring, leaving a gap through which a fly can be blown in.
      NOTE: Before the experiments, coat the glass cover with the siliconizing agent to create a slippery surface. Apply the siliconizing agent for 24 h and rinse it with water before use.
  2. Run the TemperaturePhases script (step 4.3.3) and open the video recording program (step 4.5).
  3. Blow the fly from a rearing vial (step 2.2.2) into the Fly Arena (e.g., 1 male fly in Figure 3).
    1. Take a vial of flies from the incubator, tap it twice to force them to go to the bottom, trap one fly with a mouth aspirator, and close the vial and put it back into the incubator.
    2. Place the fly in the arena through the gap that has been left between the glass cover and aluminum ring (step 5.1.3).
    3. Close the gap between the glass cover and aluminum ring by pushing the glass cover until it reaches the edge of the aluminum ring as soon as the fly is introduced to the Fly Arena.
  4. Place the frame of lights around the arena to ensure symmetric illumination.
    1. Mark the location (e.g., using a permanent marker) of the frame of lights around the Fly Arena (Figure 1C) to ensure that the frame is always placed in the same location.
  5. Start recording with the video recording program (step 4.5.2) and press the spacebar on the keyboard of the control computer to begin running the experimental phases (step 4.3.4).
  6. After all experimental phases are done, save the video in .mp4 or .avi format and remove the fly from the Fly Arena with the mouth aspirator.
    NOTE: The end of the experimental phases can be determined by both indicative red LEDs being turned off or by the TemperaturePhases script stopping.
    1. Stop the video recording by pressing the stop button in the middle of the screen's bottom edge in the recording program. Press "File | Save as" to save the video.

6. Video Tracking and Data Analysis

  1. Use the FlySteps tracking software (Video 2) to track the videos.
    1. Open the "configuration_file.ini" inside the "FlyTracker" folder.
    2. Set the location of the videos in "video_folder" and the names of the videos in "video_files".
    3. Specify the borders of the Fly Arena in "arena_settings" based on (x, y) pixel coordinates of multiple points at the edge of the arena.
    4. Specify the location of the indicative red LEDs in "led_settings" based on (x, y) pixel coordinates of the location of the center of the LEDs.
    5. Check the location of the borders of the Fly Arena by setting "debug" to "true" in "arena_settings", clicking "Save", and running the script in the terminal.A screen capture of the video will appear with a blue square formed by the coordinates inputted in "arena_settings".
      NOTE: This square surrounds the area to be tracked.
    6. Change "debug" in "arena_settings" to "false", click "Save", and run the screen in the terminal once more.
      NOTE: This will start the tracking process.
      NOTE: Flies can walk out of the tracking area onto the heated aluminum ring. This happens during the first seconds of an experiment, after which flies stop touching the heated ring and remain inside the tracking area.
      NOTE: Videos can be tracked with other tracking software according to the experimenter's preferences.
  2. Use the (x,y) location of each fly provided by the tracking software to calculate the measure of interest for the temperature performance. Custom scripts (e.g., FlyStepsAnalysis in Supplementary) can be used.
  3. Compare the temperature performance curves of different fly groups using repeated measurements (RM) analysis of variance (ANOVA) and post-hoc multiple comparisons using statistical software (see Table of Materials).

Results

The temperature-controlled arena (Figure 1A) consists of three copper tiles whose temperature can be individually controlled through a programmable circuit. Each copper tile possesses a temperature sensor that gives feedback to the programmable circuit. The circuit activates a power supply to increase the temperature of each tile. Passive thermoelectric elements act as constant heating elements to maintain the desired temperature, while a heat sink cooled by ...

Discussion

Here we have presented an automated temperature-controlled arena (Figure 1) that produces precise temperature changes in time and space. This method allows exposure of individual Drosophila not only to pre-programmed gradual increases of temperature (Figure 2 and Figure 3), but also to dynamic temperature challenges in which each tile of the fly arena was heated independently to a different temperature (

Disclosures

The authors declare that they have no competing financial interests.

Acknowledgements

This work was supported in part by a scholarship from the Behavioural and Cognitive Neuroscience Program of the University of Groningen and a graduate scholarship from the Consejo Nacional de Ciencia y Tecnología (CONACyT) from Mexico, granted to Andrea Soto-Padilla, and a grant from the John Templeton Foundation for the study of time awarded to Hedderik van Rijn and Jean-Christophe Billeter. We are also thankful to Peter Gerrit Bosma for his participation in developing the FlySteps tracker.

Scripts TemperaturePhases,FlySteps, and FlyStepAnalysis can be found as supplementary information and in the following temporary and publicly available link:
https://dataverse.nl/privateurl.xhtml?token=c70159ad-4d92-443d-8946-974140d2cb78

Materials

NameCompanyCatalog NumberComments
Arduino DueArduinoA000062Software RUG
Electronics BoardRuijsink Dynamic EngineeringFF-Main-02-2014
Power supply BoostXP-Power 48. V 65 WECS65US48Set to 53 Volt
Power supply Tile HeatingXP-Power 15. V 80 WVFT80US15
Power supply CoolingXP-Power 15. V 130 WECS130U515
Peltier elementsMarlow IndustriesRC12-42 Elements, controlled DC feed
Heat sinkFisher TechnikLA 9/150-230VDecoupled for vibration
Temperature sensorsMeasurement SpecialtiesMCD_10K3MCD1Micro Thermistor Probe
Copper block/tilesRuijsink Dynamic EngineeringFF-CB-01-2014
Auminum ringRuijsink Dynamic EngineeringFF-RoF-02-2015
Tesa 4104 white tape 25 x 66 mmRS Components111-2300 White conductive tape
Red LEDsLucky Ligtll-583vc2c-v1-4daWavelength between 625 nm, 20 mAmp and 6 V
Warm white LED stripLedstripkoningHQ-3528-SMD60 LEDs per meter
Switch Power SupplyGenericT-36-12
Logitech c920Logitech Europe S.APN960-001055
QuickTime PlayerApple ComputerRecording program
Tracking analysis softwareRPackages: pacman
Tracking analysis softwareMATLAB
Thermal ImagingFLIR T400sc
Graphs and Statisticts SoftwareGraph Pad Prism
SigmacoteSigma-AldrichSL2-100MLSiliconising agent
Fly rearing bottlesFlystuff32-1306oz Drosophila stock bottle
FlypadFlystuff59-114
Fly rearing vialsDominique Dutscher789008Drosophila tubes narrow 25x95 mm
IncubatorSanyoMIR-154
Magnetic hot plateHeidolph505-20000-00MR Hei-Standard
AgarCaldic Ingredients B.V.010001.26.0
GlucoseGezond&wel1019155Dextrose/Druivensuiker
SucroseVan GilseGranulated sugar
CornmealFlystuff62-100
Wheat germGezond&wel1017683
Soy flourFlystuff62-115
MolassesFlystuff62-117
Active dry yeastRed Star
TegoseptFlystuff20-258100%

References

  1. Abram, P. K., Boivin, G., Moiroux, J., Brodeur, J. Behavioural effects of temperature on ectothermic animals unifying thermal physiology and behavioural plasticity. bioRxiv. , (2016).
  2. Rajpurohit, S., Schmidt, P. S. Measuring thermal behavior in smaller insects: A case study in Drosophila melanogaster demonstrates effects of sex, geographic origin, and rearing temperature on adult behavior. Fly. 10 (4), 149-161 (2016).
  3. Jezovit, J. A., Levine, J. D., Schneider, J. Phylogeny environment and sexual communication across the Drosophila genus. The Journal of Experimental Biology. 220 (1), 42-52 (2017).
  4. Sinclair, B. J., Williams, C. M., Terblanche, J. S. Variation in Thermal Performance among Insect Populations. Physiological and Biochemical Zoology. 85 (6), 594-606 (2012).
  5. Gibert, P., Huey, R., Gilchrist, G. Locomotor performance of Drosophila melanogaster: Interactions among developmental and adult temperautures, age, and geography. Evolution. 55 (1), 205-209 (2001).
  6. Trotta, V., et al. Thermal plasticity in Drosophila melanogaster: A comparison of geographic populations. BMC Evolutionary Biology. 6, 1-13 (2006).
  7. Klepsatel, P., Gálikova, M., De Maio, N., Huber, C. D., Christian, S., Flatt, T. Variation in thermal performance and reaction norms among populations of Drosophila melanogaster. Evolution. 67 (12), 3573-3587 (2013).
  8. Latimer, C. A. L., Wilson, R. S., Chenoweth, S. F. Quantitative genetic variation for thermal performance curves within and among natural populations of Drosophila serrata. Journal of Evolutionary Biology. 24, 965-975 (2011).
  9. Chen, J., Nolte, V., Schlotterer, C. Temperature-related reaction norms of gene expression: Regulatory architecture and functional implications. Molecular Biology and Evolution. , (2015).
  10. Kellermann, V., Overgaard, J., Hoffmann, A. A., Flojgaard, C., Svenning, J. -. C., Loeschcke, V. Upper thermal limits of Drosophila are linked to species distributions and strongly constrained phylogenetically. Proceedings of the National Academy of Sciences. 109 (40), 16228-16233 (2012).
  11. Andersen, J. L., Manenti, T., Sørensen, J. G., Macmillan, H. A., Loeschcke, V., Overgaard, J. How to assess Drosophila cold tolerance: Chill coma temperature and lower lethal temperature are the best predictors of cold distribution limits. Functional Ecology. 29 (1), 55-65 (2015).
  12. Krstevska, B., Hoffmann, A. A. The effects of acclimation and rearing conditions on the response of tropical and temperate populations of Drosophila melanogaster and D. simulans to a temperature gradient (Diptera: Drosophilidae). Journal of Insect Behavior. 7 (3), 279-288 (1994).
  13. Frank, D. D., Jouandet, G. C., Kearney, P. J., Macpherson, L. J., Gallio, M. Temperature representation in the Drosophila brain. Nature. 519 (7543), 358-361 (2015).
  14. Gallio, M., Ofstad, T. A., Macpherson, L. J., Wang, J. W., Zuker, C. S. The coding of temperature in the Drosophila brain. Cell. 144 (4), 614-624 (2011).
  15. Hamada, F. N., et al. An internal thermal sensor controlling temperature preference in Drosophila. Nature. 454 (7201), 217-220 (2008).
  16. Ni, L., et al. A gustatory receptor paralogue controls rapid warmth avoidance in Drosophila. Nature. 500 (7464), 580-584 (2013).
  17. Liu, W. W., Mazor, O., Wilson, R. I. Thermosensory processing in the Drosophila brain. Nature. 519 (7543), 353-357 (2015).
  18. Neely, G. G., et al. TrpA1 Regulates Thermal Nociception in Drosophila. Public Library of Science ONE. 6 (8), e24343 (2011).
  19. Zhong, L., et al. Thermosensory and non-thermosensory isoforms of Drosophila melanogaster TRPA1 reveal heat sensor domains of a thermoTRP channel. Cell Reports. 1 (1), 43-55 (2012).
  20. Barbagallo, B., Garrity, P. A. Temperature sensation in Drosophila. Current Opinion in Neurobiology. 34, 8-13 (2015).
  21. Tang, X., Platt, M. D., Lagnese, C. M., Leslie, J. R., Hamada, F. N. Temperature integration at the AC thermosensory neurons in Drosophila. Journal of Neuroscience. 33 (3), 894-901 (2013).
  22. Petavy, G., David, J. R., Gibert, P., Moreteau, B. Viability and rate of development at different temperatures in Drosophila: A comparison of constant and alternating thermal regimes. Journal of Thermal Biology. 26 (1), 29-39 (2001).
  23. Diegelmann, S., Zars, M., Zars, T. Genetic dissociation of acquisition and memory strength in the heat-box spatial learning paradigm in Drosophila. Learning & Memory. 13 (1), 72-83 (2006).
  24. Zars, M., Zars, T. High and low temperatures have unequal reinforcing properties in Drosophila spatial learning. Journal of Comparative Physiology A: Neuroethology, Sensory, Neural, and Behavioral Physiology. 192 (7), 727-735 (2006).
  25. Zars, T., Wolf, R., Davis, R., Heisenberg, M. Tissue-specific expression of a type I adenylyl cyclase rescues the rutabaga mutant memory defect: in search of the engram. Learning & Memory. 7 (1), 18-31 (2000).
  26. Jones, M. A., Grotewiel, M. Drosophila as a model for age-related impairment in locomotor and other behaviors. Experimental Brain Research. 46 (5), 320-325 (2011).

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