Abstract

Flying insects use feedback from various sensory modalities including vision and mechanosensation to navigate through their environment. The rapid speed of mechanosensory information acquisition and processing compensates for the slower processing times associated with vision, particularly under low light conditions. While halteres in dipteran species are well known to provide such information for flight control, less is understood about the mechanosensory roles of their evolutionary antecedent, wings. The features that wing mechanosensory neurons (campaniform sensilla) encode remains relatively unexplored. We hypothesized that the wing campaniform sensilla of the hawkmoth, Manduca sexta, rapidly and selectively extract mechanical stimulus features in a manner similar to halteres. We used electrophysiological and computational techniques to characterize the encoding properties of wing campaniform sensilla. To accomplish this, we developed a novel technique for localizing receptive fields using a focused IR laser that elicits changes in the neural activity of mechanoreceptors. We found that (i) most wing mechanosensors encoded mechanical stimulus features rapidly and precisely, (ii) they are selective for specific stimulus features, and (iii) there is diversity in the encoding properties of wing campaniform sensilla. We found that the encoding properties of wing campaniform sensilla are similar to those for haltere neurons. Therefore, it appears that the neural architecture that underlies the haltere sensory function is present in wings, which lends credence to the notion that wings themselves may serve a similar sensory function. Thus, wings may not only function as the primary actuator of the organism but also as sensors of the inertial dynamics of the animal.

Highlights

  • Animals rely on input from multiple sensory modalities to accomplish complex movement behaviours

  • The primary afferents projecting from campaniform sensilla, both those localized at the wing base and those that could not be localized, showed rapid responses to mechanical stimuli, often within approximately 2 or 3 ms

  • 36 recorded haltere neurons responded in 3.0 + 2.8 ms to specific stimulus features [15,16], and had rapid and precise spike timing

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Summary

Introduction

Animals rely on input from multiple sensory modalities to accomplish complex movement behaviours. The input pulse to the laser was recoded along with the corresponding neural data on the data acquisition board at 40 kHz. Changes in the unit’s firing rate during focal heating were used to localize the receptive field of that unit on the wing (see electronic supplementary material, figure S1 for details of how we classified thermally sensitive units). Using the STA and NLD of a unit, we predicted its spike rate in response to the three different amplitudes (4.4, 8.8, and 13.2 mm) of sinusoidal stimuli.

Results
Conclusion

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