Integration of temporal and spatial patterning generates neural diversity

Ted Erclik, Xin Li, Maximilien Courgeon, Claire Bertet, Zhenqing Chen, Ryan Baumert, June Ng, Clara Koo, Urfa Arain, Rudy Behnia, Alberto Del Valle Rodriguez, Lionel Senderowicz, Nicolas Negre, Kevin P. White and Claude Desplan ()
Additional contact information
Ted Erclik: New York University
Xin Li: New York University
Maximilien Courgeon: New York University
Claire Bertet: New York University
Zhenqing Chen: New York University
Ryan Baumert: New York University
June Ng: New York University
Clara Koo: New York University
Urfa Arain: University of Toronto at Mississauga
Rudy Behnia: New York University
Alberto Del Valle Rodriguez: Center for Genomics and Systems Biology, New York University Abu Dhabi
Lionel Senderowicz: University of Chicago
Nicolas Negre: University of Chicago
Kevin P. White: University of Chicago
Claude Desplan: New York University

Nature, 2017, vol. 541, issue 7637, 365-370

Abstract: Abstract In the Drosophila optic lobes, 800 retinotopically organized columns in the medulla act as functional units for processing visual information. The medulla contains over 80 types of neuron, which belong to two classes: uni-columnar neurons have a stoichiometry of one per column, while multi-columnar neurons contact multiple columns. Here we show that combinatorial inputs from temporal and spatial axes generate this neuronal diversity: all neuroblasts switch fates over time to produce different neurons; the neuroepithelium that generates neuroblasts is also subdivided into six compartments by the expression of specific factors. Uni-columnar neurons are produced in all spatial compartments independently of spatial input; they innervate the neuropil where they are generated. Multi-columnar neurons are generated in smaller numbers in restricted compartments and require spatial input; the majority of their cell bodies subsequently move to cover the entire medulla. The selective integration of spatial inputs by a fixed temporal neuroblast cascade thus acts as a powerful mechanism for generating neural diversity, regulating stoichiometry and the formation of retinotopy.

Date: 2017
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DOI: 10.1038/nature20794

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