Classification and genetic targeting of cell types in the primary taste and premotor center of the adult Drosophila brain DOI Creative Commons
Gabriella R Sterne, Hideo Otsuna, Barry J. Dickson

et al.

eLife, Journal Year: 2021, Volume and Issue: 10

Published: Sept. 2, 2021

Neural circuits carry out complex computations that allow animals to evaluate food, select mates, move toward attractive stimuli, and away from threats. In insects, the subesophageal zone (SEZ) is a brain region receives gustatory, pheromonal, mechanosensory inputs contributes control of diverse behaviors, including feeding, grooming, locomotion. Despite its importance in sensorimotor transformations, study SEZ has been hindered by limited knowledge underlying diversity neurons. Here, we generate collection split-GAL4 lines provides precise genetic targeting 138 different cell types adult Drosophila melanogaster, comprising approximately one third all We characterize single-cell anatomy these neurons find they cluster morphology into six supergroups organize discrete anatomical domains. majority local interneurons are not classically polarized, suggesting rich processing, whereas projection tend be conveying information number higher regions. This insight organization generates resources will facilitate further their contributions sensory processing behavior.

Language: Английский

A connectome and analysis of the adult Drosophila central brain DOI Creative Commons
Louis K. Scheffer, C. Shan Xu, Michał Januszewski

et al.

eLife, Journal Year: 2020, Volume and Issue: 9

Published: Sept. 3, 2020

The neural circuits responsible for animal behavior remain largely unknown. We summarize new methods and present the circuitry of a large fraction brain fruit fly Drosophila melanogaster . Improved include procedures to prepare, image, align, segment, find synapses in, proofread such data sets. define cell types, refine computational compartments, provide an exhaustive atlas examples many them novel. detailed consisting neurons their chemical most central brain. make public simplify access, reducing effort needed answer circuit questions, linking defined by our analysis with genetic reagents. Biologically, we examine distributions connection strengths, motifs on different scales, electrical consequences compartmentalization, evidence that maximizing packing density is important criterion in evolution fly’s

Language: Английский

Citations

996
The connectome of the adult Drosophila mushroom body provides insights into function DOI Creative Commons
Feng Li, Jack Lindsey, Elizabeth C. Marin

et al.

eLife, Journal Year: 2020, Volume and Issue: 9

Published: Dec. 14, 2020

Making inferences about the computations performed by neuronal circuits from synapse-level connectivity maps is an emerging opportunity in neuroscience. The mushroom body (MB) well positioned for developing and testing such approach due to its conserved architecture, recently completed dense connectome, extensive prior experimental studies of roles learning, memory, activity regulation. Here, we identify new components MB circuit Drosophila, including visual input output neurons (MBONs) with direct connections descending neurons. We find unexpected structure sensory inputs, transfer information different modalities MBONs, modulation that dopaminergic (DANs). provide insights into circuitry used integrate outputs, between central complex inputs DANs, feedback MBONs. Our results a foundation further theoretical work.

Language: Английский

Citations

348
A connectome of the Drosophila central complex reveals network motifs suitable for flexible navigation and context-dependent action selection DOI Creative Commons
Brad K. Hulse, Hannah Haberkern, Romain Franconville

et al.

eLife, Journal Year: 2021, Volume and Issue: 10

Published: Oct. 26, 2021

Flexible behaviors over long timescales are thought to engage recurrent neural networks in deep brain regions, which experimentally challenging study. In insects, circuit dynamics a region called the central complex (CX) enable directed locomotion, sleep, and context- experience-dependent spatial navigation. We describe first complete electron microscopy-based connectome of

Language: Английский

Citations

304
Reconstruction of motor control circuits in adult Drosophila using automated transmission electron microscopy DOI Creative Commons
Jasper S. Phelps, David G. C. Hildebrand, Brett J. Graham

et al.

Cell, Journal Year: 2021, Volume and Issue: 184(3), P. 759 - 774.e18

Published: Jan. 7, 2021

Language: Английский

Citations

218
The natverse, a versatile toolbox for combining and analysing neuroanatomical data DOI Creative Commons
Alexander Shakeel Bates, James D. Manton, Sridhar R. Jagannathan

et al.

eLife, Journal Year: 2020, Volume and Issue: 9

Published: April 14, 2020

To analyse neuron data at scale, neuroscientists expend substantial effort reading documentation, installing dependencies and moving between analysis visualisation environments. facilitate this, we have developed a suite of interoperable open-source R packages called the natverse. The natverse allows users to read local remote data, perform popular analyses including clustering graph-theoretic neuronal branching. Unlike most tools, enables comparison across many neurons morphology connectivity after imaging or co-registration within common template space. also transformations different spaces modalities. We demonstrate tools that integrate vast majority

Language: Английский

Citations

207
Information flow, cell types and stereotypy in a full olfactory connectome DOI Creative Commons
Philipp Schlegel, Alexander Shakeel Bates, Tomke Stürner

et al.

eLife, Journal Year: 2021, Volume and Issue: 10

Published: May 25, 2021

The

Language: Английский

Citations

145
Volume electron microscopy DOI
Christopher J. Peddie, Christel Genoud, Anna Kreshuk

et al.

Nature Reviews Methods Primers, Journal Year: 2022, Volume and Issue: 2(1)

Published: July 7, 2022

Language: Английский

Citations

127
Whole-brain annotation and multi-connectome cell typing of Drosophila DOI Creative Commons
Philipp Schlegel, Yijie Yin, Alexander Shakeel Bates

et al.

Nature, Journal Year: 2024, Volume and Issue: 634(8032), P. 139 - 152

Published: Oct. 2, 2024

Language: Английский

Citations

97
A searchable image resource of Drosophila GAL4 driver expression patterns with single neuron resolution DOI Creative Commons
Geoffrey W. Meissner, Aljoscha Nern, Zachary Dorman

et al.

eLife, Journal Year: 2023, Volume and Issue: 12

Published: Feb. 23, 2023

Precise, repeatable genetic access to specific neurons via GAL4/UAS and related methods is a key advantage of

Language: Английский

Citations

89
Whole-brain annotation and multi-connectome cell typing quantifies circuit stereotypy inDrosophila DOI Creative Commons
Philipp Schlegel, Yijie Yin, Alexander Shakeel Bates

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown

Published: June 27, 2023

Abstract The fruit fly Drosophila melanogaster combines surprisingly sophisticated behaviour with a highly tractable nervous system. A large part of the fly’s success as model organism in modern neuroscience stems from concentration collaboratively generated molecular genetic and digital resources. As presented our FlyWire companion paper 1 , this now includes first full brain connectome an adult animal. Here we report systematic hierarchical annotation ∼130,000-neuron including neuronal classes, cell types developmental units (hemilineages). This enables any researcher to navigate huge dataset find systems neurons interest, linked literature through Virtual Fly Brain database 2 . Crucially, resource 4,552 types. 3,094 are rigorous consensus validations previously proposed “hemibrain” 3 In addition, propose 1,458 new types, arising mostly fact that spans whole brain, whereas hemibrain derives subvolume. Comparison showed type counts strong connections were largely stable, but connection weights variable within across animals. Further analysis defined simple heuristics for interpretation: stronger than 10 unitary synapses or providing >1% input target conserved. Some increased variability connectomes: most common mushroom body, required learning memory, is almost twice numerous hemibrain. We evidence functional homeostasis adjustments absolute amount excitatory while maintaining excitation-inhibition ratio. Finally, surprisingly, about one third could not yet be reliably identified connectome. therefore suggest should robust inter-individual variation, namely groups cells quantitatively more similar different other same brain. Joint connectomes demonstrates viability utility definition. Our work defines atlas provides both intellectual framework open source toolchain brain-scale comparative connectomics.

Language: Английский

Citations

85