Evidence map›Paper›PMID 29462151›Full record

ArticlePLoS computational biology2018

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

Vincent Mirabet, Pawel Krupinski, Olivier Hamant, Elliot M Meyerowitz, Henrik Jönsson, Arezki Boudaoud

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
17.9field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

37 citing papers in PubMed, 94 citations in OpenAlex.

  1. Engineering Biomimetic Sporangia in Land Plants.Bioengineering (Basel, Switzerland) · 2026
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  14. Microtubule nucleation complex behavior is critical for cortical array homogeneityProceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  15. A multiscale model of the regulation of aquaporin 2 recycling.NPJ systems biology and applications · 2022
    Article
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  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 4 countries.

Vincent MirabetReproduction et Développement des Plantes, Univ. Lyon, ENS de Lyon, UCB Lyon 1, CNRS, INRA, F-69364 Lyon, France.
Pawel KrupinskiComputational Biology and Biological Physics Group, Department of Theoretical Physics, Lund University, Lund, Sweden.
Olivier HamantReproduction et Développement des Plantes, Univ. Lyon, ENS de Lyon, UCB Lyon 1, CNRS, INRA, F-69364 Lyon, France.ORCID 0000-0001-6906-6620
Elliot M MeyerowitzSainsbury Laboratory, University of Cambridge, Cambridge, United Kingdom.
Henrik JönssonSainsbury Laboratory, University of Cambridge, Cambridge, United Kingdom.
Arezki BoudaoudReproduction et Développement des Plantes, Univ. Lyon, ENS de Lyon, UCB Lyon 1, CNRS, INRA, F-69364 Lyon, France.ORCID 0000-0002-2780-4717
Université Claude Bernard Lyon 1 · FRLund University · SECalifornia Institute of Technology · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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. Building 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 the 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.

Indexed as

Cell ShapeCell SizeAnisotropyCell MembraneCelluloseCell WallComputer SimulationCytoplasmMicrotubulesPlant CellsCellulose

Identifiers

PMID29462151
PMCPMC5834207
OpenAlexW2788288093

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.