Local synaptic inputs support opposing, network-specific odor representations in a widely projecting modulatory neuron

Autor: Kaylynn E. Coates, J. Scott Lauritzen, Davi D. Bock, Feng Li, Xiaonan Zhang, Quentin Gaudry, Andrew M. Dacks, Cengiz Günay, Steven A. Calle-Schuler
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Zdroj: eLife, Vol 8 (2019)
eLife
Popis: Serotonin plays different roles across networks within the same sensory modality. Previously, we used whole-cell electrophysiology in Drosophila to show that serotonergic neurons innervating the first olfactory relay are inhibited by odorants (Zhang and Gaudry, 2016). Here we show that network-spanning serotonergic neurons segregate information about stimulus features, odor intensity and identity, by using opposing coding schemes in different olfactory neuropil. A pair of serotonergic neurons (the CSDns) innervate the antennal lobe and lateral horn, which are first and second order neuropils. CSDn processes in the antennal lobe are inhibited by odors in an identity independent manner. In the lateral horn, CSDn processes are excited in an odor identity dependent manner. Using functional imaging, modeling, and EM reconstruction, we demonstrate that antennal lobe derived inhibition arises from local GABAergic inputs and acts as a means of gain control on branch-specific inputs that the CSDns receive within the lateral horn.
Databáze: OpenAIRE