Literature DB >> 24605774

Cell types and coincident synapses in the ellipsoid body of Drosophila.

Alfonso Martín-Peña1, Angel Acebes, José-Rodrigo Rodríguez, Valerie Chevalier, Sergio Casas-Tinto, Tilman Triphan, Roland Strauss, Alberto Ferrús.   

Abstract

Cellular ultrastructures for signal integration are unknown in any nervous system. The ellipsoid body (EB) of the Drosophila brain is thought to control locomotion upon integration of various modalities of sensory signals with the animal internal status. However, the expected excitatory and inhibitory input convergence that virtually all brain centres exhibit is not yet described in the EB. Based on the EB expression domains of genetic constructs from the choline acetyl transferase (Cha), glutamic acid decarboxylase (GAD) and tyrosine hydroxylase (TH) genes, we identified a new set of neurons with the characteristic ring-shaped morphology (R neurons) which are presumably cholinergic, in addition to the existing GABA-expressing neurons. The R1 morphological subtype is represented in the Cha- and TH-expressing classes. In addition, using transmission electron microscopy, we identified a novel type of synapse in the EB, which exhibits the precise array of two independent active zones over the same postsynaptic dendritic domain, that we named 'agora'. This array is compatible with a coincidence detector role, and represents ~8% of all EB synapses in Drosophila. Presumably excitatory R neurons contribute to coincident synapses. Functional silencing of EB neurons by driving genetically tetanus toxin expression either reduces walking speed or alters movement orientation depending on the targeted R neuron subset, thus revealing functional specialisations in the EB for locomotion control.
© 2014 Federation of European Neuroscience Societies and John Wiley & Sons Ltd.

Entities:  

Keywords:  central complex; coincidence detectors; development; locomotion control

Mesh:

Substances:

Year:  2014        PMID: 24605774     DOI: 10.1111/ejn.12537

Source DB:  PubMed          Journal:  Eur J Neurosci        ISSN: 0953-816X            Impact factor:   3.386


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