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蚕蛾扇动翅膀时捕获信息素的嗅觉采样量:基于模拟的研究。

Olfactory sampling volume for pheromone capture by wing fanning of silkworm moth: a simulation-based study.

机构信息

Graduate School of Engineering, Chiba University, Chiba, Japan.

Department of Mechanical Engineering and Robotics, Faculty of Textile Science and Technology, Shinshu University, Nagano, Japan.

出版信息

Sci Rep. 2024 Aug 2;14(1):17879. doi: 10.1038/s41598-024-67966-y.

Abstract

Odours used by insects for foraging and mating are carried by the air. Insects induce airflows around them by flapping their wings, and the distribution of these airflows may strongly influence odour source localisation. The flightless silkworm moth, Bombyx mori, has been a prominent insect model for olfactory research. However, although there have been numerous studies on antenna morphology and its fluid dynamics, neurophysiology, and localisation algorithms, the airflow manipulation of the B. mori by fanning has not been thoroughly investigated. In this study, we performed computational fluid dynamics (CFD) analyses of flapping B. mori to analyse this mechanism in depth. A three-dimensional simulation using reconstructed wing kinematics was used to investigate the effects of B. mori fanning on locomotion and pheromone capture. The fanning of the B. mori was found to generate an aerodynamic force on the scale of its weight through an aerodynamic mechanism similar to that of flying insects. Our simulations further indicate that the B. mori guides particles from its anterior direction within the ~ 60° horizontally by wing fanning. Hence, if it detects pheromones during fanning, the pheromone can be concluded to originate from the direction the head is pointing. The anisotropy in the sampling volume enables the B. mori to orient to the pheromone plume direction. These results provide new insights into insect behaviour and offer design guidelines for robots for odour source localisation.

摘要

昆虫用于觅食和交配的气味是通过空气传播的。昆虫通过拍打翅膀在周围产生气流,这些气流的分布可能会强烈影响气味源的定位。无翅桑蚕蛾(Bombyx mori)一直是嗅觉研究的重要昆虫模型。然而,尽管已经有许多关于触角形态及其流体动力学、神经生理学和定位算法的研究,但对 B. mori 通过扇动翅膀来操纵气流的研究还不够深入。在这项研究中,我们对拍打翅膀的 B. mori 进行了计算流体动力学(CFD)分析,以深入研究这种机制。使用重建的翅膀运动学进行了三维模拟,以研究 B. mori 扇动翅膀对运动和信息素捕获的影响。研究发现,B. mori 的扇动通过类似于飞行昆虫的空气动力学机制产生了与自身重量相当的空气动力。我们的模拟进一步表明,B. mori 通过翅膀的扇动可以在水平方向的约 60°范围内引导来自其前部的颗粒。因此,如果它在扇动时检测到信息素,可以推断信息素来自头部指向的方向。采样体积的各向异性使 B. mori 能够定向到信息素羽流的方向。这些结果为昆虫行为提供了新的见解,并为用于气味源定位的机器人提供了设计指南。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e29/11297250/87657b55d3ea/41598_2024_67966_Fig1_HTML.jpg

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