Evidence map›Paper›PMID 25569615›Full record

ArticlePLoS computational biology2015

A computational framework for 3D mechanical modeling of plant morphogenesis with cellular resolution.

Frédéric Boudon, Jérôme Chopard, Olivier Ali, Benjamin Gilles, Olivier Hamant, Arezki Boudaoud, Jan Traas, Christophe Godin

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed
31.6field-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

50 citing papers in PubMed, 148 citations in OpenAlex.

  1. Article
  2. Fine mapping and prediction of a candidate gene for wrinkled rind in melon (Cucumis melo L.).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
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  5. Review
  6. Article
  7. Assessing the hydromechanical control of plant growth.Journal of the Royal Society, Interface · 2024
    Article
  8. Article
  9. Article
  10. Review
  11. Ontogeny of collective behaviour.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Review
  12. Article
  13. Mathematical models of neuronal growth.Biomechanics and modeling in mechanobiology · 2022
    Review
  14. Article
  15. Review
  16. Article
  17. A field theory for plant tropisms.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  18. Review
  19. Review
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 5 institutions in 1 country.

Frédéric BoudonVirtual Plants Inria team, UMR AGAP, CIRAD, INRIA, INRA, Montpellier, France.
Jérôme ChopardVirtual Plants Inria team, UMR AGAP, CIRAD, INRIA, INRA, Montpellier, France.
Olivier AliVirtual Plants Inria team, UMR AGAP, CIRAD, INRIA, INRA, Montpellier, France; Laboratoire de Reproduction et Développement des Plantes, Université de Lyon 1, ENS-Lyon, INRA, CNRS, Lyon, France.
Benjamin GillesLaboratoire d'Informatique, de Robotique et de Microélectronique de Montpellier, Université Montpellier 2, CNRS, Montpellier, France.
Olivier HamantLaboratoire de Reproduction et Développement des Plantes, Université de Lyon 1, ENS-Lyon, INRA, CNRS, Lyon, France.
Arezki BoudaoudLaboratoire de Reproduction et Développement des Plantes, Université de Lyon 1, ENS-Lyon, INRA, CNRS, Lyon, France.
Jan TraasLaboratoire de Reproduction et Développement des Plantes, Université de Lyon 1, ENS-Lyon, INRA, CNRS, Lyon, France.
Christophe GodinVirtual Plants Inria team, UMR AGAP, CIRAD, INRIA, INRA, Montpellier, France.
Université Claude Bernard Lyon 1 · FRAgropolis International · FRGenetic Improvement and Adaptation of Mediterranean and Tropical Plants · FRInstitut national de recherche en sciences et technologies du numérique · FRUniversité de Montpellier · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The link between genetic regulation and the definition of form and size during morphogenesis remains largely an open question in both plant and animal biology. This is partially due to the complexity of the process, involving extensive molecular networks, multiple feedbacks between different scales of organization and physical forces operating at multiple levels. Here we present a conceptual and modeling framework aimed at generating an integrated understanding of morphogenesis in plants. This framework is based on the biophysical properties of plant cells, which are under high internal turgor pressure, and are prevented from bursting because of the presence of a rigid cell wall. To control cell growth, the underlying molecular networks must interfere locally with the elastic and/or plastic extensibility of this cell wall. We present a model in the form of a three dimensional (3D) virtual tissue, where growth depends on the local modulation of wall mechanical properties and turgor pressure. The model shows how forces generated by turgor-pressure can act both cell autonomously and non-cell autonomously to drive growth in different directions. We use simulations to explore lateral organ formation at the shoot apical meristem. Although different scenarios lead to similar shape changes, they are not equivalent and lead to different, testable predictions regarding the mechanical and geometrical properties of the growing lateral organs. Using flower development as an example, we further show how a limited number of gene activities can explain the complex shape changes that accompany organ outgrowth.

Indexed as

Models, BiologicalArabidopsisComputational BiologyComputer SimulationFlowersPlant CellsPlant Development

Identifiers

PMID25569615
PMCPMC4288716
OpenAlexW1999268253

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.