A multilayer circuit architecture for the generation of distinct locomotor behaviors in Drosophila

Author:

Zarin Aref Arzan1ORCID,Mark Brandon1,Cardona Albert2,Litwin-Kumar Ashok3ORCID,Doe Chris Q1ORCID

Affiliation:

1. Institute of Neuroscience, Howard Hughes Medical Institute, University of Oregon, Eugene, United States

2. Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, United States

3. Mortimer B Zuckerman Mind Brain Behavior Institute, Department of Neuroscience, Columbia University, New York, United States

Abstract

Animals generate diverse motor behaviors, yet how the same motor neurons (MNs) generate two distinct or antagonistic behaviors remains an open question. Here, we characterize Drosophila larval muscle activity patterns and premotor/motor circuits to understand how they generate forward and backward locomotion. We show that all body wall MNs are activated during both behaviors, but a subset of MNs change recruitment timing for each behavior. We used TEM to reconstruct a full segment of all 60 MNs and 236 premotor neurons (PMNs), including differentially-recruited MNs. Analysis of this comprehensive connectome identified PMN-MN ‘labeled line’ connectivity; PMN-MN combinatorial connectivity; asymmetric neuronal morphology; and PMN-MN circuit motifs that could all contribute to generating distinct behaviors. We generated a recurrent network model that reproduced the observed behaviors, and used functional optogenetics to validate selected model predictions. This PMN-MN connectome will provide a foundation for analyzing the full suite of larval behaviors.

Funder

Howard Hughes Medical Institute

National Institutes of Health

Burroughs Wellcome Foundation

Gatsby Charitable Foundation

Simons Collaboration on the Global Brain

NSF

NIH

Publisher

eLife Sciences Publications, Ltd

Subject

General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,General Neuroscience

Reference111 articles.

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5. From the connectome to brain function;Bargmann;Nature Methods,2013

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