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A connectome and analysis of the adult Drosophila central brain

Authors :
Temour Tokhi
Tom Dolafi
Nneoma Okeoma
Tanya Wolff
Philip M Hubbard
Kazunori Shinomiya
Madelaine K Robertson
Gerald M. Rubin
Gregory S.X.E. Jefferis
Christopher J Knecht
Laramie Leavitt
Alia Suleiman
Satoko Takemura
Christopher Ordish
Jody Clements
Ian A. Meinertzhagen
Alexander Shakeel Bates
Takashi Kawase
Samantha Finley
Nicholas Padilla
Jackie Swift
C. Shan Xu
Stuart Berg
Tyler Paterson
Ashley L Scott
Erika Neace
Shirley Lauchie
Sean M Ryan
Emily M Joyce
Shin-ya Takemura
Tim Blakely
Michael A Cook
Christopher Patrick
Bryon Eubanks
Audrey Francis
Robert Svirskas
William T. Katz
Eric T. Trautman
Caroline Mooney
Ting Zhao
Nicole A Kirk
Megan Sammons
Brandon S Canino
Reed A. George
Louis K. Scheffer
Jolanta A. Borycz
Jon Thomson Rymer
Natasha Cheatham
Dagmar Kainmueller
Gary B. Huang
Khaled Khairy
Nicole Neubarth
Elliott E Phillips
John A. Bogovic
Neha Rampally
Larry Lindsey
Viren Jain
David G. Ackerman
Jane Anne Horne
Kelli Fairbanks
Lowell Umayam
Jens Goldammer
Emily M Phillips
Donald J. Olbris
Feng Li
Emily A Manley
Philipp Schlegel
Hideo Otsuna
Marta Costa
Stephen M. Plaza
Omotara Ogundeyi
Samantha Ballinger
Charli Maldonado
Kelsey Smith
Gary Patrick Hopkins
Vivek Jayaraman
Emily Tenshaw
Julie Kovalyak
Peter H. Li
Tansy Yang
Masayoshi Ito
Miatta Ndama
Claire Smith
Michał Januszewski
Alanna Lohff
SungJin Kim
Anne K Scott
Kei Ito
Iris Talebi
Jeremy Maitlin-Shepard
Nora Forknall
Marisa Dreher
Harald F. Hess
Sari McLin
Patricia K. Rivlin
Dennis A Bailey
Kenneth J. Hayworth
Octave Duclos
Caitlin Ribeiro
John J. Walsh
Zhiyuan Lu
Dorota Tarnogorska
Ruchi Parekh
Aya Shinomiya
Stephan Saalfeld
Margaret A Sobeski
Natalie L Smith
Chelsea X Alvarado
Scheffer, Louis K [0000-0002-3289-6564]
Xu, C Shan [0000-0002-8564-7836]
Januszewski, Michal [0000-0002-3480-2744]
Lu, Zhiyuan [0000-0002-4128-9774]
Takemura, Shin-ya [0000-0003-2400-6426]
Huang, Gary B [0000-0002-9606-3510]
Shinomiya, Kazunori [0000-0003-0262-6421]
Maitlin-Shepard, Jeremy [0000-0001-8453-7961]
Hubbard, Philip M [0000-0002-6746-5035]
Katz, William T [0000-0002-9417-6212]
Ackerman, David [0000-0003-0172-6594]
Blakely, Tim [0000-0003-0995-5471]
Bogovic, John [0000-0002-4829-9457]
Kainmueller, Dagmar [0000-0002-9830-2415]
Khairy, Khaled A [0000-0002-9274-5928]
Li, Peter H [0000-0001-6193-4454]
Trautman, Eric T [0000-0001-8588-0569]
Bates, Alexander S [0000-0002-1195-0445]
Goldammer, Jens [0000-0002-5623-8339]
Wolff, Tanya [0000-0002-8681-1749]
Svirskas, Robert [0000-0001-8374-6008]
Schlegel, Philipp [0000-0002-5633-1314]
Knecht, Christopher J [0000-0002-5663-5967]
Alvarado, Chelsea X [0000-0002-5973-7512]
Bailey, Dennis A [0000-0002-4675-8373]
Borycz, Jolanta A [0000-0002-4402-9230]
Canino, Brandon S [0000-0002-8454-865X]
Cook, Michael [0000-0002-7892-6845]
Dreher, Marisa [0000-0002-0041-9229]
Eubanks, Bryon [0000-0002-9288-2009]
Fairbanks, Kelli [0000-0002-6601-4830]
Finley, Samantha [0000-0002-8086-206X]
Forknall, Nora [0000-0003-2139-7599]
Francis, Audrey [0000-0003-1974-7174]
Joyce, Emily M [0000-0001-5794-6321]
Kovalyak, Julie [0000-0001-7864-7734]
Lauchie, Shirley A [0000-0001-8223-9522]
Lohff, Alanna [0000-0002-1242-1836]
McLin, Sari [0000-0002-9120-1136]
Patrick, Christopher M [0000-0001-8830-1892]
Phillips, Elliott E [0000-0002-4918-2058]
Phillips, Emily M [0000-0001-7615-301X]
Robertson, Madelaine K [0000-0002-1764-0245]
Rymer, Jon Thomson [0000-0002-4271-6774]
Ryan, Sean M [0000-0002-8879-6108]
Sammons, Megan [0000-0003-4516-5928]
Shinomiya, Aya [0000-0002-6358-9567]
Smith, Natalie L [0000-0002-8271-9873]
Swift, Jackie [0000-0003-1321-8183]
Takemura, Satoko [0000-0002-2863-0050]
Talebi, Iris [0000-0002-0173-8053]
Tarnogorska, Dorota [0000-0002-7063-6165]
Walsh, John J [0000-0002-7176-4708]
Yang, Tansy [0000-0003-1131-0410]
Horne, Jane Anne [0000-0001-9673-2692]
Parekh, Ruchi [0000-0002-8060-2807]
Jayaraman, Vivek [0000-0003-3680-7378]
Costa, Marta [0000-0001-5948-3092]
Jefferis, Gregory SXE [0000-0002-0587-9355]
Ito, Kei [0000-0002-7274-5533]
Saalfeld, Stephan [0000-0002-4106-1761]
Rubin, Gerald M [0000-0001-8762-8703]
Hess, Harald F [0000-0003-3000-1533]
Plaza, Stephen M [0000-0001-7425-8555]
Apollo - University of Cambridge Repository
Takemura, Shin-Ya [0000-0003-2400-6426]
Jefferis, Gregory Sxe [0000-0002-0587-9355]
Source :
eLife, Vol 9 (2020), eLife
Publication Year :
2020
Publisher :
eLife Sciences Publications, Ltd, 2020.

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 fly’s brain.<br />eLife digest Animal brains of all sizes, from the smallest to the largest, work in broadly similar ways. Studying the brain of any one animal in depth can thus reveal the general principles behind the workings of all brains. The fruit fly Drosophila is a popular choice for such research. With about 100,000 neurons – compared to some 86 billion in humans – the fly brain is small enough to study at the level of individual cells. But it nevertheless supports a range of complex behaviors, including navigation, courtship and learning. Thanks to decades of research, scientists now have a good understanding of which parts of the fruit fly brain support particular behaviors. But exactly how they do this is often unclear. This is because previous studies showing the connections between cells only covered small areas of the brain. This is like trying to understand a novel when all you can see is a few isolated paragraphs. To solve this problem, Scheffer, Xu, Januszewski, Lu, Takemura, Hayworth, Huang, Shinomiya et al. prepared the first complete map of the entire central region of the fruit fly brain. The central brain consists of approximately 25,000 neurons and around 20 million connections. To prepare the map – or connectome – the brain was cut into very thin 8nm slices and photographed with an electron microscope. A three-dimensional map of the neurons and connections in the brain was then reconstructed from these images using machine learning algorithms. Finally, Scheffer et al. used the new connectome to obtain further insights into the circuits that support specific fruit fly behaviors. The central brain connectome is freely available online for anyone to access. When used in combination with existing methods, the map will make it easier to understand how the fly brain works, and how and why it can fail to work correctly. Many of these findings will likely apply to larger brains, including our own. In the long run, studying the fly connectome may therefore lead to a better understanding of the human brain and its disorders. Performing a similar analysis on the brain of a small mammal, by scaling up the methods here, will be a likely next step along this path.

Details

Database :
OpenAIRE
Journal :
eLife, Vol 9 (2020), eLife
Accession number :
edsair.doi.dedup.....27b85537abb3e13a27b3773d84eb1d0d