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Predicting the effects of spatiotemporal modifications of muscle activation on the tentacle extension in squid
Squid use eight arms and two slender tentacles to capture prey. The muscular stalks of the tentacles are elongated approximately 80% in 20–40 ms towards the prey, which is adhered to the terminal clubs by arrays of suckers. Using a previously developed forward dynamics model of the extension of the...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10620692/ https://www.ncbi.nlm.nih.gov/pubmed/37929190 http://dx.doi.org/10.3389/fbioe.2023.1193409 |
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author | van Leeuwen, Johan L. Kier, William M. |
author_facet | van Leeuwen, Johan L. Kier, William M. |
author_sort | van Leeuwen, Johan L. |
collection | PubMed |
description | Squid use eight arms and two slender tentacles to capture prey. The muscular stalks of the tentacles are elongated approximately 80% in 20–40 ms towards the prey, which is adhered to the terminal clubs by arrays of suckers. Using a previously developed forward dynamics model of the extension of the tentacles of the squid Doryteuthis pealeii (formerly Loligo pealeii), we predict how spatial muscle-activation patterns result in a distribution of muscular power, muscle work, and kinetic and elastic energy along the tentacle. The simulated peak extension speed of the tentacles is remarkably insensitive to delays of activation along the stalk, as well as to random variations in the activation onset. A delay along the tentacle of 50% of the extension time has only a small effect on the peak extension velocity of the tentacle compared with a zero-delay pattern. A slight delay of the distal portion relative to the proximal has a small positive effect on peak extension velocity, whereas negative delays (delay reversed along stalk) always reduce extension performance. In addition, tentacular extension is relatively insensitive to superimposed random variations in the prescribed delays along the stalk. This holds in particular for small positive delays that are similar to delays predicted from measured axonal diameters of motor neurons. This robustness against variation in the activation distribution reduces the accuracy requirements of the neuronal control and is likely due to the non-linear mechanical properties of the muscular tissue in the tentacle. |
format | Online Article Text |
id | pubmed-10620692 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-106206922023-11-03 Predicting the effects of spatiotemporal modifications of muscle activation on the tentacle extension in squid van Leeuwen, Johan L. Kier, William M. Front Bioeng Biotechnol Bioengineering and Biotechnology Squid use eight arms and two slender tentacles to capture prey. The muscular stalks of the tentacles are elongated approximately 80% in 20–40 ms towards the prey, which is adhered to the terminal clubs by arrays of suckers. Using a previously developed forward dynamics model of the extension of the tentacles of the squid Doryteuthis pealeii (formerly Loligo pealeii), we predict how spatial muscle-activation patterns result in a distribution of muscular power, muscle work, and kinetic and elastic energy along the tentacle. The simulated peak extension speed of the tentacles is remarkably insensitive to delays of activation along the stalk, as well as to random variations in the activation onset. A delay along the tentacle of 50% of the extension time has only a small effect on the peak extension velocity of the tentacle compared with a zero-delay pattern. A slight delay of the distal portion relative to the proximal has a small positive effect on peak extension velocity, whereas negative delays (delay reversed along stalk) always reduce extension performance. In addition, tentacular extension is relatively insensitive to superimposed random variations in the prescribed delays along the stalk. This holds in particular for small positive delays that are similar to delays predicted from measured axonal diameters of motor neurons. This robustness against variation in the activation distribution reduces the accuracy requirements of the neuronal control and is likely due to the non-linear mechanical properties of the muscular tissue in the tentacle. Frontiers Media S.A. 2023-10-19 /pmc/articles/PMC10620692/ /pubmed/37929190 http://dx.doi.org/10.3389/fbioe.2023.1193409 Text en Copyright © 2023 van Leeuwen and Kier. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Bioengineering and Biotechnology van Leeuwen, Johan L. Kier, William M. Predicting the effects of spatiotemporal modifications of muscle activation on the tentacle extension in squid |
title | Predicting the effects of spatiotemporal modifications of muscle activation on the tentacle extension in squid |
title_full | Predicting the effects of spatiotemporal modifications of muscle activation on the tentacle extension in squid |
title_fullStr | Predicting the effects of spatiotemporal modifications of muscle activation on the tentacle extension in squid |
title_full_unstemmed | Predicting the effects of spatiotemporal modifications of muscle activation on the tentacle extension in squid |
title_short | Predicting the effects of spatiotemporal modifications of muscle activation on the tentacle extension in squid |
title_sort | predicting the effects of spatiotemporal modifications of muscle activation on the tentacle extension in squid |
topic | Bioengineering and Biotechnology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10620692/ https://www.ncbi.nlm.nih.gov/pubmed/37929190 http://dx.doi.org/10.3389/fbioe.2023.1193409 |
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