eLifeBioinformaticsPeer-reviewed journal article
A Connectome and Analysis of the Adult Drosophila Central Brain
Louis K. SchefferiD, C. Shan XuiD, Michał JanuszewskiiD, Zhiyuan LuiD, Shin-ya TakemuraiD, Kenneth J. HayworthiD, Gary B. HuangiD, Kazunori ShinomiyaiD, Jeremy Maitin-ShepardiD, Stuart BergiD, Jody ClementsiD, Philip M. HubbardiD, William T. KatziD, Lowell A. UmayamiD, Ting ZhaoiD, David AckermaniD, Tim M. BlakelyiD, John BogoviciD, Tom Dolafi, Dagmar KainmuelleriD, Takashi KawaseiD, Khaled A. KhairyiD, Laramie LeavittiD, Peter H. LiiD, Larry F. Lindsey, , Gregory S.X.E. JefferisiD
Abstract
The neural circuits responsible for animal behavior remain largely unknown. We summarize new methods and present the circuitry of a large fraction of the brain of the fruit fly Drosophila melanogaster. Improved methods include new procedures to prepare, image, align, segment, find synapses in, and proofread such large data sets. We define cell types, refine computational compartments, and provide an exhaustive atlas of cell examples and types, many of them novel. We provide detailed circuits consisting of neurons and their chemical synapses for most of the central brain. We make the data public and simplify access, reducing the effort needed to answer circuit questions, and provide procedures linking the neurons defined by our analysis with genetic reagents. Biologically, we examine distributions of connection strengths, neural motifs on different scales, electrical consequences of compartmentalization, and evidence that maximizing packing density is an important criterion in the evolution of the flys brain.
- organism: Drosophila
- assay: spatial transcriptomics
- research focus: cell type annotation
- research focus: database / resource
- approach: statistical model
- approach: experimental assay
- Citations
- 1,128
- FWCI
- 20.51
- Field percentile
- top 1%
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