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Achieving functional neuronal dendrite structure through sequential stochastic growth and retraction

Authors :
André Ferreira Castro
Lothar Baltruschat
Tomke Stürner
Amirhoushang Bahrami
Peter Jedlicka
Gaia Tavosanis
Hermann Cuntz
Source :
eLife, Vol 9 (2020)
Publication Year :
2020
Publisher :
eLife Sciences Publications Ltd, 2020.

Abstract

Class I ventral posterior dendritic arborisation (c1vpda) proprioceptive sensory neurons respond to contractions in the Drosophila larval body wall during crawling. Their dendritic branches run along the direction of contraction, possibly a functional requirement to maximise membrane curvature during crawling contractions. Although the molecular machinery of dendritic patterning in c1vpda has been extensively studied, the process leading to the precise elaboration of their comb-like shapes remains elusive. Here, to link dendrite shape with its proprioceptive role, we performed long-term, non-invasive, in vivo time-lapse imaging of c1vpda embryonic and larval morphogenesis to reveal a sequence of differentiation stages. We combined computer models and dendritic branch dynamics tracking to propose that distinct sequential phases of stochastic growth and retraction achieve efficient dendritic trees both in terms of wire and function. Our study shows how dendrite growth balances structure–function requirements, shedding new light on general principles of self-organisation in functionally specialised dendrites.

Details

Language :
English
ISSN :
2050084X
Volume :
9
Database :
Directory of Open Access Journals
Journal :
eLife
Publication Type :
Academic Journal
Accession number :
edsdoj.80f5156a4df14053b220d3005e5a0c5c
Document Type :
article
Full Text :
https://doi.org/10.7554/eLife.60920