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An analysis of time-varying dynamics in electrically sensitive arthropod hairs to understand real-world electrical sensing
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....
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10410214/ https://www.ncbi.nlm.nih.gov/pubmed/37553992 http://dx.doi.org/10.1098/rsif.2023.0177 |
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author | Palmer, Ryan A. O’Reilly, Liam J. Carpenter, Jacob Chenchiah, Isaac V. Robert, Daniel |
author_facet | Palmer, Ryan A. O’Reilly, Liam J. Carpenter, Jacob Chenchiah, Isaac V. Robert, Daniel |
author_sort | Palmer, Ryan A. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10410214 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | The Royal Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-104102142023-08-10 An analysis of time-varying dynamics in electrically sensitive arthropod hairs to understand real-world electrical sensing Palmer, Ryan A. O’Reilly, Liam J. Carpenter, Jacob Chenchiah, Isaac V. Robert, Daniel J R Soc Interface Life Sciences–Mathematics interface 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. The Royal Society 2023-08-09 /pmc/articles/PMC10410214/ /pubmed/37553992 http://dx.doi.org/10.1098/rsif.2023.0177 Text en © 2023 The Authors. https://creativecommons.org/licenses/by/4.0/Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, provided the original author and source are credited. |
spellingShingle | Life Sciences–Mathematics interface Palmer, Ryan A. O’Reilly, Liam J. Carpenter, Jacob Chenchiah, Isaac V. Robert, Daniel An analysis of time-varying dynamics in electrically sensitive arthropod hairs to understand real-world electrical sensing |
title | An analysis of time-varying dynamics in electrically sensitive arthropod hairs to understand real-world electrical sensing |
title_full | An analysis of time-varying dynamics in electrically sensitive arthropod hairs to understand real-world electrical sensing |
title_fullStr | An analysis of time-varying dynamics in electrically sensitive arthropod hairs to understand real-world electrical sensing |
title_full_unstemmed | An analysis of time-varying dynamics in electrically sensitive arthropod hairs to understand real-world electrical sensing |
title_short | An analysis of time-varying dynamics in electrically sensitive arthropod hairs to understand real-world electrical sensing |
title_sort | analysis of time-varying dynamics in electrically sensitive arthropod hairs to understand real-world electrical sensing |
topic | Life Sciences–Mathematics interface |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10410214/ https://www.ncbi.nlm.nih.gov/pubmed/37553992 http://dx.doi.org/10.1098/rsif.2023.0177 |
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