journal article·2019-01

Vibrational Receptor of Scorpion (Heterometrus petersii): The Basitarsal Compound Slit Sensilla

Kejun Wang, Junqiu Zhang, Linpeng Liu, Daobing Chen, Honglie Song, Yinliang Wang, Shichao Niu, Zhiwu Han, Luquan Ren

Journal of Bionic Engineering· Volume 16· Issue 1
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Abstract

Recently, micro-vibrational perception mechanisms of nocturnal arthropods such as scorpions and spiders are attracting increasingly more attention and research. The relevant micro-vibrational receptors are exquisite, in terms of their comprehensive performance such as sensitivity, stability, high anti-interference, and ultralow-power consumption. In this work, we find the Basitarsal Compound Slit Sensilla (BCSS) of scorpion (Heterometrus petersii) are composed of the crack-shaped slits as mechanosensory structure and can efficiently detect substrate-borne vibrational signal in complex natural environment. The study on microstructures and mechanical properties of tissue phases constituting the BCSS reveals that the strategy of tessellation is used to make crack-shaped slit amplify the tiny mechanical signal. In addition, the magnitude-frequency characteristics of electrophysiological signals caused by vibration stimulation with different frequencies indicate that the scorpion is sensitive to micro-vibrational signals at a certain frequency range. Meanwhile, the vibrational perception mechanism based on geometrical amplification and resonance is proposed to explain how scorpions detect the tiny biotic vibrational signal efficiently in noise environment. This finding not only promotes our further understanding of ultra-sensitive mechanism of the vibrational receptors, but also provides biological inspiration for the next generation of mechanosensor for a broad range of applications.
Source: openaire · Quality: candidate unverified · Source record ↗

Research context

OpenAlex topics: Force Microscopy Techniques and Applications · Neurobiology and Insect Physiology Research · Venomous Animal Envenomation and Studies

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

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