Parasitoid–host eavesdropping reveals temperature coupling of preferences to communication signals without genetic coupling
Data files
Aug 25, 2023 version files 158.01 KB
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Fig1_Total_Distance_Data.csv
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Fig2_Steering_Velocity_Data.xlsx
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Fig3_PI_Index_Data.xlsx
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Fig4_Fitted_Preference_Functions.xlsx
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FigS1_Angular_Heading_Data.xlsx
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Latency_Data.xlsx
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Peak_Preference_Data.csv
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PI_data_for_pfunc_21DegC.csv
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PI_data_for_pfunc_25DegC.csv
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PI_data_for_pfunc_30DegC.csv
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README.md
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Tolerance_Data.xlsx
Abstract
Receivers of acoustic communication signals evaluate signal features to identify conspecifics. Changes in the ambient temperature can alter these features, rendering species recognition a challenge. To maintain effective communication, temperature coupling—changes in receiver signal preferences that parallel temperature-induced changes in signal parameters—occurs among genetically coupled signallers and receivers. Whether eavesdroppers of communication signals exhibit temperature coupling is unknown. Here, we investigate if the parasitoid fly Ormia ochracea , an eavesdropper of cricket calling songs, exhibits song pulse rate preferences that are temperature coupled. We use a high-speed treadmill system to record walking phonotaxis at three ambient temperatures (21, 25, and 30°C) in response to songs that varied in pulse rates (20 to 90 pulses per second). Total walking distance, peak steering velocity, angular heading, and the phonotaxis performance index varied with song pulse rates and ambient temperature. The peak of phonotaxis performance index preference functions became broader and shifted to higher pulse rate values at higher temperatures. Temperature-related changes in cricket songs between 21 and 30°C did not drastically affect the ability of flies to recognize cricket calling songs. These results confirm that temperature coupling can occur in eavesdroppers that are not genetically coupled with signallers.
Methods
Behavioural walking phonotactic responses were collected using a custom-made high-speed treadmill system. Raw data traces from the treadmll system were converted to response metrics (distance, latency, steering velocity, forward velocity, angular heading, phonotaxis performance index) in MATLAB. Preference functions based on the phonotaxis performance index data were fitted using a custom script written in MATLAB.
Usage notes
Data in CSV files can be opened using MS Excel.
Data in xlsx files can be opened using MS Excel.
*.m files can be opened in MATLAB