Molecular gradients shape synaptic specificity of a visuomotor transformation

Mark Dombrovski, Yixin Zang, Giovanni Frighetto, Andrea Vaccari, HyoJong Jang, Parmis S. Mirshahidi, Fangming Xie, Piero Sanfilippo, Bryce W. Hina, Aadil Rehan, Roni H. Hussein, Pegah S. Mirshahidi, Catherine Lee, Aileen Morris, Mark A. Frye, Catherine R. Reyn, Yerbol Z. Kurmangaliyev, Gwyneth M. Card () and S. Lawrence Zipursky ()
Additional contact information
Mark Dombrovski: University of California Los Angeles
Yixin Zang: Columbia University
Giovanni Frighetto: University of California Los Angeles
Andrea Vaccari: Middlebury College
HyoJong Jang: Drexel University
Parmis S. Mirshahidi: University of California Los Angeles
Fangming Xie: University of California Los Angeles
Piero Sanfilippo: University of California Los Angeles
Bryce W. Hina: Drexel University
Aadil Rehan: University of California Los Angeles
Roni H. Hussein: University of California Los Angeles
Pegah S. Mirshahidi: University of California Los Angeles
Catherine Lee: University of California Los Angeles
Aileen Morris: University of California Los Angeles
Mark A. Frye: University of California Los Angeles
Catherine R. Reyn: Drexel University
Yerbol Z. Kurmangaliyev: Brandeis University
Gwyneth M. Card: Columbia University
S. Lawrence Zipursky: University of California Los Angeles

Nature, 2025, vol. 644, issue 8076, 453-462

Abstract: Abstract How does the brain convert visual input into specific motor actions1,2? In Drosophila, visual projection neurons (VPNs)3,4 perform this visuomotor transformation by converting retinal positional information into synapse number in the brain5. The molecular basis of this phenomenon remains unknown. We addressed this issue in LPLC2 (ref. 6), a VPN type that detects looming motion and preferentially drives escape behaviour to stimuli approaching from the dorsal visual field with progressively weaker responses ventrally. This correlates with a dorsoventral gradient of synaptic inputs into and outputs from LPLC2. Here we report that LPLC2 neurons sampling different regions of visual space exhibit graded expression of cell recognition molecules matching these synaptic gradients. Dpr13 shapes LPLC2 outputs by binding DIP-ε in premotor descending neurons mediating escape. Beat-VI shapes LPLC2 inputs by binding Side-II in upstream motion-detecting neurons. Gain-of-function and loss-of-function experiments show that these molecular gradients act instructively to determine synapse number. These patterns, in turn, fine-tune the perception of the stimulus and drive the behavioural response. Similar transcriptomic variation within neuronal types is observed in the vertebrate brain7 and may shape synapse number via gradients of cell recognition molecules acting through both genetically hard-wired programs and experience.

Date: 2025
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DOI: 10.1038/s41586-025-09037-4

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