Cell-Based Models in plant developmentalbiology: insights into hybrid approaches

Computer models are nowadays part of the biologist's toolbox for studying biological dynamics and processes.Tissue development and functioning results from extremely complicated dynamics, that usual analysis does not come very far in terms of understanding the processes underlying those dynamic...

Full description

Bibliographic Details
Main Authors: Bruno eHay Mele, Francesco eGiannino, Christian Ernest Vincenot, Stefano eMazzoleni, Fabrizio eCarteni
Format: Article
Language:English
Published: Frontiers Media S.A. 2015-11-01
Series:Frontiers in Environmental Science
Subjects:
Online Access:http://journal.frontiersin.org/Journal/10.3389/fenvs.2015.00073/full
id doaj-c16dfd7d57464efaba93b29834b5bcd4
record_format Article
spelling doaj-c16dfd7d57464efaba93b29834b5bcd42020-11-24T20:56:18ZengFrontiers Media S.A.Frontiers in Environmental Science2296-665X2015-11-01310.3389/fenvs.2015.00073151312Cell-Based Models in plant developmentalbiology: insights into hybrid approachesBruno eHay Mele0Francesco eGiannino1Christian Ernest Vincenot2Stefano eMazzoleni3Fabrizio eCarteni4Università degli Studi di Napoli Federico IIUniversità degli Studi di Napoli Federico IIKyoto UniveristyUniversità degli Studi di Napoli Federico IIUniversità degli Studi di Napoli Federico IIComputer models are nowadays part of the biologist's toolbox for studying biological dynamics and processes.Tissue development and functioning results from extremely complicated dynamics, that usual analysis does not come very far in terms of understanding the processes underlying those dynamics.In this context, mathematical and numerical models can help to disentangle complex interactions and to analyze non-intuitive dynamics that drives tissue development and functioning.Since these are multi-scale processes, both in time and space, there is the need to develop an appropriate modelling approach.The most promising one is hybrid modelling, that is a synthesis of the differential equation based reaction-diffusion approach at molecular and chemical continuous scales, and the Individual-Based modelling approach for simulating the mechanical and behavioural interactions of the cell ensemble constituting the tissue. Such an approach has been often used in developmental biology, both for plants and animals.In this paper, a brief history of hybrid modelling approaches and tools will be reviewed, and a simple example of its application to a current problem in plant developmental biology (the appearance of vascular patterning during plant growth) will be illustrated, showing the intuitiveness and the strength of such an approach.http://journal.frontiersin.org/Journal/10.3389/fenvs.2015.00073/fullpattern formationdifferential equationsMathematical Modelsnumerical simulationindividual-based modelingsystem dynamics
collection DOAJ
language English
format Article
sources DOAJ
author Bruno eHay Mele
Francesco eGiannino
Christian Ernest Vincenot
Stefano eMazzoleni
Fabrizio eCarteni
spellingShingle Bruno eHay Mele
Francesco eGiannino
Christian Ernest Vincenot
Stefano eMazzoleni
Fabrizio eCarteni
Cell-Based Models in plant developmentalbiology: insights into hybrid approaches
Frontiers in Environmental Science
pattern formation
differential equations
Mathematical Models
numerical simulation
individual-based modeling
system dynamics
author_facet Bruno eHay Mele
Francesco eGiannino
Christian Ernest Vincenot
Stefano eMazzoleni
Fabrizio eCarteni
author_sort Bruno eHay Mele
title Cell-Based Models in plant developmentalbiology: insights into hybrid approaches
title_short Cell-Based Models in plant developmentalbiology: insights into hybrid approaches
title_full Cell-Based Models in plant developmentalbiology: insights into hybrid approaches
title_fullStr Cell-Based Models in plant developmentalbiology: insights into hybrid approaches
title_full_unstemmed Cell-Based Models in plant developmentalbiology: insights into hybrid approaches
title_sort cell-based models in plant developmentalbiology: insights into hybrid approaches
publisher Frontiers Media S.A.
series Frontiers in Environmental Science
issn 2296-665X
publishDate 2015-11-01
description Computer models are nowadays part of the biologist's toolbox for studying biological dynamics and processes.Tissue development and functioning results from extremely complicated dynamics, that usual analysis does not come very far in terms of understanding the processes underlying those dynamics.In this context, mathematical and numerical models can help to disentangle complex interactions and to analyze non-intuitive dynamics that drives tissue development and functioning.Since these are multi-scale processes, both in time and space, there is the need to develop an appropriate modelling approach.The most promising one is hybrid modelling, that is a synthesis of the differential equation based reaction-diffusion approach at molecular and chemical continuous scales, and the Individual-Based modelling approach for simulating the mechanical and behavioural interactions of the cell ensemble constituting the tissue. Such an approach has been often used in developmental biology, both for plants and animals.In this paper, a brief history of hybrid modelling approaches and tools will be reviewed, and a simple example of its application to a current problem in plant developmental biology (the appearance of vascular patterning during plant growth) will be illustrated, showing the intuitiveness and the strength of such an approach.
topic pattern formation
differential equations
Mathematical Models
numerical simulation
individual-based modeling
system dynamics
url http://journal.frontiersin.org/Journal/10.3389/fenvs.2015.00073/full
work_keys_str_mv AT brunoehaymele cellbasedmodelsinplantdevelopmentalbiologyinsightsintohybridapproaches
AT francescoegiannino cellbasedmodelsinplantdevelopmentalbiologyinsightsintohybridapproaches
AT christianernestvincenot cellbasedmodelsinplantdevelopmentalbiologyinsightsintohybridapproaches
AT stefanoemazzoleni cellbasedmodelsinplantdevelopmentalbiologyinsightsintohybridapproaches
AT fabrizioecarteni cellbasedmodelsinplantdevelopmentalbiologyinsightsintohybridapproaches
_version_ 1716790090519281664