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揭示通过鱼-机器人混合交互实现的社交隔离机制。

Unveiling social distancing mechanisms via a fish-robot hybrid interaction.

机构信息

The BioRobotics Institute, Sant'Anna School of Advanced Studies, Viale Rinaldo Piaggio 34, 56025, Pontedera, Pisa, Italy.

Department of Excellence in Robotics and AI, Sant'Anna School of Advanced Studies, 56127, Pisa, Italy.

出版信息

Biol Cybern. 2021 Dec;115(6):565-573. doi: 10.1007/s00422-021-00867-9. Epub 2021 Mar 17.

DOI:10.1007/s00422-021-00867-9
PMID:33730211
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8960612/
Abstract

Pathogen transmission is a major limit of social species. Social distancing, a behavioural-based response to diseases, has been regularly reported in nature. However, the identification of distinctive stimuli associated with an infectious disease represents a challenging task for host species, whose cognitive mechanisms are still poorly understood. Herein, the social fish Paracheirodon innesi, was selected as model organism to investigate animal abilities in exploiting visual information to identify and promote social distancing towards potentially infected conspecifics. To address this, a robotic fish replica mimicking a healthy P. innesi subject, and another mimicking P. innesi with morphological and/or locomotion anomalies were developed. P. innesi individuals were attracted by the healthy fish replica, while they avoided the fish replica with morphological abnormalities, as well as the fish replica with an intact appearance, but performing locomotion anomalies (both symptoms associated with a microsporidian parasite infesting P. innesi and other fish). Furthermore, the fish replica presenting both morphology and locomotion anomalies in conjunction, triggered a significantly stronger social distancing response. This confirms the hypothesis that group living animals overgeneralize cues that can be related with a disease to minimize transmission, and highlights the important role of visual cues in infection risk contexts. This study prompts more attention on the role of behavioural-based strategies to avoid pathogen/parasite diffusion, and can be used to optimize computational approaches to model disease dynamics.

摘要

病原体传播是社会性物种的主要限制因素。社交隔离是一种针对疾病的基于行为的反应,在自然界中经常被报道。然而,识别与传染病相关的独特刺激对于宿主物种来说是一项具有挑战性的任务,其认知机制仍知之甚少。在此,选择社会性鱼类 Paracheirodon innesi 作为模型生物,以研究动物利用视觉信息识别和促进对可能感染的同种个体进行社交隔离的能力。为此,开发了一种模仿健康 P. innesi 个体的机器鱼复制品,以及另一种模仿 P. innesi 具有形态和/或运动异常的机器鱼复制品。P. innesi 个体被健康的机器鱼复制品吸引,而它们避开具有形态异常的机器鱼复制品,以及具有完整外观但表现出运动异常的机器鱼复制品(这两种症状都与感染 P. innesi 和其他鱼类的微孢子虫寄生虫有关)。此外,同时呈现形态和运动异常的机器鱼复制品引发了更强的社交隔离反应。这证实了以下假设:群居动物会过度泛化与疾病相关的线索,以最大程度地减少传播,并强调了视觉线索在感染风险环境中的重要作用。这项研究促使人们更加关注基于行为的策略在避免病原体/寄生虫扩散方面的作用,并且可以用于优化计算方法来模拟疾病动态。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c33/8960612/db7bf54c6850/422_2021_867_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c33/8960612/6e8fa48e5593/422_2021_867_Fig1_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c33/8960612/6e8fa48e5593/422_2021_867_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c33/8960612/179b8b40b940/422_2021_867_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c33/8960612/d3ebcc8fb460/422_2021_867_Fig3_HTML.jpg
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