Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/117749
Title: Untangling the wiring of the Drosophila visual system: developmental principles and molecular strategies
Author: Plazaola Sasieta, Haritz
Fernández Pineda, Alejandra
Zhu, Qi
Morey i Ramonell, Marta
Keywords: Drosòfila
Circuit neuronal
Neurociències
Drosophila
Neural circuitry
Neurosciences
Issue Date: 27-Oct-2017
Publisher: Taylor & Francis
Abstract: The assembly of neural circuits relies on the accurate establishment of connections between synaptic partners. Precise wiring results from responses that neurons elicit to environmental cues and cell-cell contact events during development. A common design principle in both invertebrate and vertebrate adult nervous systems is the orderly array of columnar and layered synaptic units of certain neuropils. This similarity is particularly striking in the visual system, both at the structural and cell-type levels. Given the powerful genetic approaches and tools available in Drosophila, the fly visual system has been extensively used to probe how specific wiring patterns are achieved during development. In this review, we cover the developmental principles and molecular strategies that govern the assembly of columnar units (lamina cartridges and medulla columns), the formation of layers, afferent specific layer selection, and synaptogenesis in Drosophila. The mechanisms include: sequential developmental steps that ensure coordinated assembly of synaptic partners; anterograde and autocrine signaling; interactions between cell-surface molecules, or secreted molecules and their receptors that take place among neurons; and glia signaling to neurons.
Note: Versió postprint del document publicat a: https://doi.org/10.1080/01677063.2017.1391249
It is part of: Journal of Neurogenetics, 2017, p. 1-19
URI: http://hdl.handle.net/2445/117749
Related resource: https://doi.org/10.1080/01677063.2017.1391249
ISSN: 0167-7063
Appears in Collections:Articles publicats en revistes (Genètica, Microbiologia i Estadística)

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