实验动物与比较医学 ›› 2025, Vol. 45 ›› Issue (6): 663-675.DOI: 10.12300/j.issn.1674-5817.2025.147

• 无脊椎实验动物:果蝇 • 上一篇    下一篇

果蝇电子显微镜连接组数据库及相关神经环路功能解析的研究进展

邓贤铭(), 汪菲()()   

  1. 中国科学院脑科学与智能技术卓越创新中心, 上海 200031
  • 收稿日期:2025-09-05 修回日期:2025-12-03 出版日期:2025-12-25 发布日期:2025-12-19
  • 通讯作者: 汪菲(1986—),女,博士,研究员,研究方向:果蝇本能行为的神经环路机制。E-mail: wangfei@ion.ac.cn。ORCID: 0000-0008-8646-2411
  • 作者简介:邓贤铭(2000—),男,博士研究生,研究方向:果蝇听觉信息编码与处理。E-mail: dengxm2022@ion.ac.cn。ORCD: 0009-0000-2402-3408
  • 基金资助:
    科技创新2030“脑科学与类脑研究”国家科技重大专项青年科学家项目(2022ZD0206300)

Research Progress on Drosophila Electron Microscopy Connectome Database and Functional Analysis of Related Neural Circuits

DENG Xianming(), WANG Fei()()   

  1. Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China
  • Received:2025-09-05 Revised:2025-12-03 Published:2025-12-25 Online:2025-12-19
  • Contact: WANG Fei (ORCID: 0000-0008-8646-2411), E-mail: wangfei@ion.ac.cn

摘要:

近年来,黑腹果蝇(Drosophila melanogaster)的电子显微镜连接组研究取得重大突破,提供了全脑尺度下突触分辨率的神经环路图谱。本文综述果蝇电子显微镜连接组数据库从脑区局部重建到全脑完整绘制的发展历程,重点总结其在解析神经环路研究领域三大核心问题中发挥的作用:在感觉信息编码方面,以视觉系统为例揭示运动检测与颜色处理的机制;在行为决策方面,阐明雌蝇交配与产卵抉择的环路基础;在运动控制方面,解析雄蝇求偶歌曲模式生成的神经机制。这些成果揭示了结构连接与功能特化的关系和信息分级整合与并行-层级控制的机制,在极大程度上深化了对神经环路“结构-功能”关系的理解。文末展望电子显微镜连接组在跨物种比较、全脑动态网络建模及计算-实验融合等方向运用的潜力,这些探索有助于推动神经科学从局部推测转向全脑精准解析的范式革新,为复杂生物连接组研究提供技术模板与理论锚点,搭建基础神经环路与人类神经疾病的研究桥梁,并为类脑智能计算提供生物原型,为探索神经系统的进化规律和工作机制提供重要启示。

关键词: 黑腹果蝇, 电子显微镜, 连接组, 数据库, 神经环路

Abstract:

In recent years, research on the electron microscopy connectome of Drosophila melanogaster has achieved major breakthroughs, providing neural circuit maps with synaptic resolution across the whole brain. This review outlines the development history of Drosophila electron microscopy connectome databases from local brain region reconstruction to comprehensive whole-brain mapping, and highlights their role in addressing three core problems in neural circuit research field: in terms of sensory information encoding, the visual system is used as an example to reveal mechanisms of motion detection and color processing; in terms of behavioral decision-making, the circuit basis underlying female mating and egg-laying choices is elucidated; and in terms of motor control, the neural mechanisms underlying courtship song pattern generation in males are analyzed. These advances reveal the relationship between structural connectivity and functional specialization, as well as mechanisms of hierarchical integration and parallel-hierarchical control of information, greatly deepening our understanding of the "structure-function" relationship in neural circuits. At the end of this article, the potential applications of electron microscope connectomes in areas such as cross-species comparison, whole-brain dynamic network modeling, and computation-experiment integration are discussed. These explorations help promote a paradigm revolution in neuroscience from local speculation to precise whole-brain analysis, provide technical templates and theoretical anchor points for connectome research in complex organisms, build a research bridge between basic neural circuits and human neurological diseases, offer biological prototypes for brain-inspired intelligent computing, and provide important insights for exploring the evolutionary laws and working mechanisms of the nervous system.

Key words: Drosophila melanogaster, Electron microscopy, Connectome, Database, Neural circuits

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