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The self-organization of plant microtubules inside the cell volume yields their cortical localization, stable alignment, and sensitivity to external cues

Mirabet, Vincent; Krupinski, Pawel LU ; Hamant, Olivier; Meyerowitz, Elliot M.; Jönsson, Henrik LU and Boudaoud, Arezki (2018) In PLoS Computational Biology 14(2).
Abstract

Many cell functions rely on the ability of microtubules to self-organize as complex networks. In plants, cortical microtubules are essential to determine cell shape as they guide the deposition of cellulose microfibrils, and thus control mechanical anisotropy of the cell wall. Here we analyze how, in turn, cell shape may influence microtubule behavior. Buidling upon previous models that confined microtubules to the cell surface, we introduce an agent model of microtubules enclosed in a three-dimensional volume. We show that the microtubule network has spontaneous aligned configurations that could explain many experimental observations without resorting to specific regulation. In particular, we find that the preferred cortical... (More)

Many cell functions rely on the ability of microtubules to self-organize as complex networks. In plants, cortical microtubules are essential to determine cell shape as they guide the deposition of cellulose microfibrils, and thus control mechanical anisotropy of the cell wall. Here we analyze how, in turn, cell shape may influence microtubule behavior. Buidling upon previous models that confined microtubules to the cell surface, we introduce an agent model of microtubules enclosed in a three-dimensional volume. We show that the microtubule network has spontaneous aligned configurations that could explain many experimental observations without resorting to specific regulation. In particular, we find that the preferred cortical localization of microtubules emerges from directional persistence of the microtubules, and their interactions with each other and with the stiff wall. We also identify microtubule parameters that seem relatively insensitive to cell shape, such as length or number. In contrast, microtubule array anisotropy depends on local curvature of the cell surface and global orientation follows robustly the longest axis of the cell. Lastly, we find that geometric cues may be overcome, as network is capable of reorienting toward weak external directional cues. Altogether our simulations show that the microtubule network is a good transducer of weak external polarity, while at the same time, easily reaching stable global configurations.

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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
PLoS Computational Biology
volume
14
issue
2
publisher
Public Library of Science
external identifiers
  • scopus:85042717694
ISSN
1553-734X
DOI
10.1371/journal.pcbi.1006011
language
English
LU publication?
yes
id
381417b7-c4ce-45af-a8dd-799528a09209
date added to LUP
2018-03-16 13:43:45
date last changed
2019-09-17 04:27:59
@article{381417b7-c4ce-45af-a8dd-799528a09209,
  abstract     = {<p>Many cell functions rely on the ability of microtubules to self-organize as complex networks. In plants, cortical microtubules are essential to determine cell shape as they guide the deposition of cellulose microfibrils, and thus control mechanical anisotropy of the cell wall. Here we analyze how, in turn, cell shape may influence microtubule behavior. Buidling upon previous models that confined microtubules to the cell surface, we introduce an agent model of microtubules enclosed in a three-dimensional volume. We show that the microtubule network has spontaneous aligned configurations that could explain many experimental observations without resorting to specific regulation. In particular, we find that the preferred cortical localization of microtubules emerges from directional persistence of the microtubules, and their interactions with each other and with the stiff wall. We also identify microtubule parameters that seem relatively insensitive to cell shape, such as length or number. In contrast, microtubule array anisotropy depends on local curvature of the cell surface and global orientation follows robustly the longest axis of the cell. Lastly, we find that geometric cues may be overcome, as network is capable of reorienting toward weak external directional cues. Altogether our simulations show that the microtubule network is a good transducer of weak external polarity, while at the same time, easily reaching stable global configurations.</p>},
  articleno    = {e1006011},
  author       = {Mirabet, Vincent and Krupinski, Pawel and Hamant, Olivier and Meyerowitz, Elliot M. and Jönsson, Henrik and Boudaoud, Arezki},
  issn         = {1553-734X},
  language     = {eng},
  month        = {02},
  number       = {2},
  publisher    = {Public Library of Science},
  series       = {PLoS Computational Biology},
  title        = {The self-organization of plant microtubules inside the cell volume yields their cortical localization, stable alignment, and sensitivity to external cues},
  url          = {http://dx.doi.org/10.1371/journal.pcbi.1006011},
  volume       = {14},
  year         = {2018},
}