Synaptic architecture of leg and wing premotor control networks in Drosophila

Ellen Lesser, Anthony W. Azevedo, Jasper S. Phelps, Leila Elabbady, Andrew Cook, Durafshan Sakeena Syed, Brandon Mark, Sumiya Kuroda, Anne Sustar, Anthony Moussa, Chris J. Dallmann, Sweta Agrawal, Su Yee J. Lee, Brandon Pratt, Kyobi Skutt-Kakaria, Stephan Gerhard, Ran Lu, Nico Kemnitz, Kisuk Lee, Akhilesh HalageriManuel Castro, Dodam Ih, Jay Gager, Marwan Tammam, Sven Dorkenwald, Forrest Collman, Casey Schneider-Mizell, Derrick Brittain, Chris S. Jordan, Thomas Macrina, Michael Dickinson, Wei Chung Allen Lee, John C. Tuthill

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

Animal movement is controlled by motor neurons (MNs), which project out of the central nervous system to activate muscles1. MN activity is coordinated by complex premotor networks that facilitate the contribution of individual muscles to many different behaviours2–6. Here we use connectomics7 to analyse the wiring logic of premotor circuits controlling the Drosophila leg and wing. We find that both premotor networks cluster into modules that link MNs innervating muscles with related functions. Within most leg motor modules, the synaptic weights of each premotor neuron are proportional to the size of their target MNs, establishing a circuit basis for hierarchical MN recruitment. By contrast, wing premotor networks lack proportional synaptic connectivity, which may enable more flexible recruitment of wing steering muscles. Through comparison of the architecture of distinct motor control systems within the same animal, we identify common principles of premotor network organization and specializations that reflect the unique biomechanical constraints and evolutionary origins of leg and wing motor control.

Original languageEnglish (US)
Pages (from-to)369-377
Number of pages9
JournalNature
Volume631
Issue number8020
DOIs
StatePublished - Jul 11 2024
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • General

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