气味
被盖腹侧区
生物
多巴胺能
昆虫
捕食
嗅觉
中脑
神经科学
动物
有条件地点偏好
腹侧纹状体
多巴胺
纹状体
生态学
中枢神经系统
作者
Wenqiang Wang,Yanbiao Zhong,Ruiyi Tan,Maoyuan Wang,Jia Liu,Ding Wang,Haiping Wang,Yue Li,Guanqing Li,Jian Yang,Peng Wang,Jialiang Wu,Jian‐Xu Zhang,Chen‐Zhu Wang,Haishui Shi,Minghong Ma,Yiqun Yu,Yun Feng Zhang
标识
DOI:10.1073/pnas.2514847122
摘要
Foraging and food consumption are fundamental for the survival of animals. In natural environments, wild rodents feed on insects, including moth larvae, and odor-guided evaluation of potential food resources is a critical step in initiating feeding behavior. However, the mechanisms by which rodents seek and feed on insect prey remain poorly understood. Herein, we employed a laboratory-based predator–prey interaction system using mice and cotton bollworm larvae to investigate the neural mechanisms underlying food-seeking and feeding behaviors at both cellular and neural circuit levels. We demonstrate that mice exhibit a strong preference for consuming fed larvae, and this preference is dependent on the main olfactory system. Gas chromatography-mass spectrometry analysis revealed significant differences in the chemical profiles of fed and unfed larvae, with fed larvae containing a higher level of linoleic acid (LA) and a lower level of (Z)-9-tricosene [(Z)-9-TE]. Behavioral assays showed that mice, as well as Brand’s voles and brown rats, are attracted to LA but avoid (Z)-9-TE in a two-choice odor preference test. Furthermore, we identified that the dopaminergic pathway from the ventral tegmental area (VTA) to the medial olfactory tubercle (mOT) plays a central role in mediating this preference. Chemogenetic inhibition of this pathway abolished the preference for LA over (Z)-9-TE, while chemogenetic activation reversed this effect. Additionally, fiber photometry recordings and pharmacology revealed that mOT D1 and D2 spiny projection neurons preferentially mediate attraction to LA and avoidance of (Z)-9-TE, respectively. These findings uncover a neurobiological system in rodents that supports insect predation based upon chemosignals.
科研通智能强力驱动
Strongly Powered by AbleSci AI