Three-Dimensional Reconstruction of Brain-wide Wiring Networks in Drosophila at Single-Cell Resolution
Three-Dimensional Reconstruction of Brain-wide Wiring Networks in Drosophila at Single-Cell Resolution
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DOI：
10.1016/j.cub.2010.11.056
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发表时间：
2011-01-11
期刊：
影响因子：
9.2
通讯作者：
Hwang, Jenn-Kang
中科院分区：
文献类型：
--
作者：
Chiang, Ann-Shyn;Lin, Chih-Yung;Hwang, Jenn-Kang
背景：动物的行为是由相互连接的脑回路的活动所控制的。因此，需要全面的大脑线路图来形成关于信息流的假设，并指导旨在理解基因和电路如何协调复杂行为的遗传操作。结果：为了组装这张图，我们将成年果蝇的大脑解构成大约16000个。单个神经元，并将它们重建成一个通用的标准化框架，从而产生一个虚拟的苍蝇大脑。我们构建了一个中观图，发现它由41个局部处理单元（lpu）、6个枢纽和58个束组成，覆盖了整个果蝇的大脑。尽管个体局部存在差异，果蝇的大脑结构在特定lpu内的局部神经元（LNs）聚集和同一lpu组之间的投射神经元（pn）连接方面都表现出不变。一个名为FlyCircuit的开放访问图像数据库已经被构建，用于所有单个神经元、全脑lpu、它们的接线图和神经束的在线数据存档、挖掘、分析和三维可视化。结论：我们发现果蝇的大脑是由多个lpu家族及其相互联系组装而成的。这为分析完整大脑中神经元内部和神经元之间的信息处理提供了重要的第一步。
Background: Animal behavior is governed by the activity of interconnected brain circuits. Comprehensive brain wiring maps are thus needed in order to formulate hypotheses about information flow and also to guide genetic manipulations aimed at understanding how genes and circuits orchestrate complex behaviors.Results: To assemble this map, we deconstructed the adult Drosophila brain into approximately 16,000. single neurons and reconstructed them into a common standardized framework to produce a virtual fly brain. We have constructed a mesoscopic map and found that it consists of 41 local processing units (LPUs), six hubs, and 58 tracts covering the whole Drosophila brain. Despite individual local variation, the architecture of the Drosophila brain shows invariance for both the aggregation of local neurons (LNs) within specific LPUs and for the connectivity of projection neurons (PNs) between the same set of LPUs. An open-access image database, named FlyCircuit, has been constructed for online data archiving, mining, analysis, and three-dimensional visualization of all single neurons, brain-wide LPUs, their wiring diagrams, and neural tracts.Conclusion: We found that the Drosophila brain is assembled from families of multiple LPUs and their interconnections. This provides an essential first step in the analysis of information processing within and between neurons in a complete brain.