JOURNAL ARTICLE
Bee fear responses are mediated by dopamine and influence cognition.
Published In: Journal of Animal Ecology, 2025, v. 94, n. 1. P. 112 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Gu, Gaoying; Wang, Ziqi; Lin, Tao; Wang, Sainan; Li, Jianjun; Dong, Shihao; Nieh, James C.; Tan, Ken 3 of 3
Abstract
Predatory threats, even when they do not involve direct consumption (non‐consumptive effects, NCEs), can profoundly influence the physiology and behaviour of prey. For example, honeybees that encounter hornet predators show responses similar to fear.However, the physiological mechanisms that are connected with this fear‐like response and their effects on bee cognition and olfaction remain largely unknown.We show that bees decreased time spent near the hornet, demonstrated fearful behaviour and moved with greater velocity to escape. After a prolonged 24‐h exposure, bees adopted defensive clustering, displayed greater predator avoidance, and experienced a decline in brain dopamine levels. Prolonged predator exposure also diminished bee olfactory sensitivity to odours and their mechanical sensitivity to air currents, contributing to impaired olfactory learning.However, boosting brain dopamine reversed one fear‐like behaviour (average bee velocity in the presence of a hornet) and rescued olfactory sensitivity and learning.We therefore provide evidence linking dopamine to sensory and cognitive declines associated with fear in an insect. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Journal of Animal Ecology. 2025/01, Vol. 94, Issue 1, p112
- Document Type:Article
- Subject Area:Anatomy and Physiology
- Publication Date:2025
- ISSN:0021-8790
- DOI:10.1111/1365-2656.14224
- Accession Number:183983661
- Copyright Statement:Copyright of Journal of Animal Ecology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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