Grigolon2018 - Responses to auxin signals

Model Identifier
MODEL2003060002
Short description
Plants depend on the signalling of the phytohormone auxin for their development and for responding to environmental perturbations. The associated biomolecular signalling network involves a negative feedback on Aux/IAA proteins which mediate the influence of auxin (the signal) on the auxin response factor (ARF) transcription factors (the drivers of the response). To probe the role of this feedback, we consider alternative in silico signalling networks implementing different operating principles. By a comparative analysis, we find that the presence of a negative feedback allows the system to have a far larger sensitivity in its dynamical response to auxin and that this sensitivity does not prevent the system from being highly resilient. Given this insight, we build a new biomolecular signalling model for quantitatively describing such Aux/IAA and ARF responses.
Format
SBML
(L2V4)
Related Publication
-
Responses to auxin signals: an operating principle for dynamical sensitivity yet high resilience.
- Grigolon S, Bravi B, Martin OC
- Royal Society open science , 1/ 2018 , Volume 5 , Issue 1 , pages: 172098 , PubMed ID: 29410878
- LPTMS, Université Paris-Sud XI-Université Paris-Saclay, 15, Rue Georges Clémenceau, 91405 Orsay, France.
- Plants depend on the signalling of the phytohormone auxin for their development and for responding to environmental perturbations. The associated biomolecular signalling network involves a negative feedback on Aux/IAA proteins which mediate the influence of auxin (the signal) on the auxin response factor (ARF) transcription factors (the drivers of the response). To probe the role of this feedback, we consider alternative in silico signalling networks implementing different operating principles. By a comparative analysis, we find that the presence of a negative feedback allows the system to have a far larger sensitivity in its dynamical response to auxin and that this sensitivity does not prevent the system from being highly resilient. Given this insight, we build a new biomolecular signalling model for quantitatively describing such Aux/IAA and ARF responses.
Contributors
Submitter of the first revision: Ahmad Zyoud
Submitter of this revision: Tung Nguyen
Curators: Ahmad Zyoud
Others: Tung Nguyen
Submitter of this revision: Tung Nguyen
Curators: Ahmad Zyoud
Others: Tung Nguyen
Metadata information
isDescribedBy (1 statement)
hasProperty (3 statements)
occursIn (1 statement)
hasTaxon (1 statement)
hasProperty (3 statements)
Mathematical Modelling Ontology
Ordinary differential equation model
Chemical Component Dictionary 26158
OMIT 0011910
Chemical Component Dictionary 26158
OMIT 0011910
occursIn (1 statement)
hasTaxon (1 statement)
Curation status
Non-curated
Modelling approach(es)
Tags
Connected external resources
Name | Description | Size | Actions |
---|---|---|---|
Model files |
|||
Grigolon2018.xml | SBML L2V4 file Grigolon2018-Responses to auxin signals_ Orignal_ Annotated | 28.85 KB | Preview | Download |
Additional files |
|||
Grigolon2018.cps | COPASI version 4.27 (Build 217) Grigolon2018-Responses to auxin signals_ Annotated | 56.93 KB | Preview | Download |
- Model originally submitted by : Ahmad Zyoud
- Submitted: Mar 6, 2020 11:05:39 AM
- Last Modified: May 10, 2022 12:30:35 PM
Revisions
-
Version: 2
- Submitted on: May 10, 2022 12:30:35 PM
- Submitted by: Tung Nguyen
- With comment: Made a minor change on the model name
-
Version: 1
- Submitted on: Mar 6, 2020 11:05:39 AM
- Submitted by: Ahmad Zyoud
- With comment: Import of Grigolon2018-Responses to auxin signals
(*) You might be seeing discontinuous
revisions as only public revisions are displayed here. Any private revisions
of this model will only be shown to the submitter and their collaborators.