An analysis of time-varying dynamics in electrically sensitive arthropod hairs to understand real-world electrical sensing

Research output: Contribution to journalArticle (Academic Journal)peer-review

3 Citations (Scopus)

Abstract

With increasing evidence of electroreception in terrestrial arthropods, an understanding of receptor level processes is vital to appreciating the capabilities and limits of this sense. Here, we examine the spatio-temporal sensitivity of mechanoreceptive filiform hairs in detecting electrical fields. We first present empirical data, highlighting the time-varying characteristics of biological electrical signals. After which, we explore how electrically sensitive hairs may respond to such stimuli. The main findings are: (i) oscillatory signals (elicited by wingbeats) influence the spatial sensitivity of hairs, unveiling an inextricable spatio-temporal link; (ii) wingbeat direction modulates spatial sensitivity; (iii) electrical wingbeats can be approximated by sinusoidally modulated DC signals; and (iv) for a moving point charge, maximum sensitivity occurs at a faster timescale than a hair’s frequency-based tuning. Our results show that electro-mechanical sensory hairs may capture different spatio-temporal information, depending on an object’s movement and wingbeat and in comparison with aero-acoustic stimuli. Crucially, we suggest that electrostatic and aero-acoustic signals may provide distinguishable channels of information for arthropods. Given the pervasiveness of electric fields in nature, our results suggest further study to understand electrostatics in the ecology of arthropods and to reveal unknown ecological relationships and novel interactions between species.
Original languageEnglish
Article number20230177
Pages (from-to)20230177
Number of pages1
JournalJournal of the Royal Society Interface
Volume20
Issue number205
DOIs
Publication statusPublished - 9 Aug 2023

Bibliographical note

Funding Information:
This work was supported by BBSRC (BB/T003235/1) to D.R. and I.V.C., and an ERC AdG grant no. ELECTROBEE to D.R. Acknowledgements

Publisher Copyright:
© 2023 The Authors.

Keywords

  • mechanoreceptor
  • electroreception
  • electrostatics
  • sensory hairs
  • arthropods
  • biomathematics
  • biomechanics

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