Literature DB >> 33241995

Achieving functional neuronal dendrite structure through sequential stochastic growth and retraction.

Gaia Tavosanis1,2, Hermann Cuntz3,4, André Ferreira Castro3,4,1, Lothar Baltruschat1, Tomke Stürner1,5, Amirhoushang Bahrami6, Peter Jedlicka3,7,8.   

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.
© 2020, Ferreira Castro et al.

Entities:  

Keywords:  D. melanogaster; computer model; dendrite function; dendrite growth; dendrite retraction; developmental biology; mechanotransduction; neuroscience; self-organisation

Mesh:

Substances:

Year:  2020        PMID: 33241995      PMCID: PMC7837678          DOI: 10.7554/eLife.60920

Source DB:  PubMed          Journal:  Elife        ISSN: 2050-084X            Impact factor:   8.140


  114 in total

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5.  Achieving functional neuronal dendrite structure through sequential stochastic growth and retraction.

Authors:  Gaia Tavosanis; Hermann Cuntz; André Ferreira Castro; Lothar Baltruschat; Tomke Stürner; Amirhoushang Bahrami; Peter Jedlicka
Journal:  Elife       Date:  2020-11-26       Impact factor: 8.140

  5 in total

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