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Plant Physiol, August 2001, Vol. 126, pp. 1430-1437
Numeric Simulation of Plant Signaling Networks1
Thierry
Genoud,*
Marcela B.
Trevino Santa Cruz, and
Jean-Pierre
Métraux
Département de Biologie, University of Fribourg, Rue Albert
Gockel 3, CH-1700 Fribourg, Switzerland
Plants have evolved an intricate signaling apparatus that
integrates relevant information and allows an optimal response to environmental conditions. For instance, the coordination of defense responses against pathogens involves sophisticated molecular detection and communication systems. Multiple protection strategies may be
deployed differentially by the plant according to the nature of the
invading organism. These responses are also influenced by the
environment, metabolism, and developmental stage of the plant. Though
the cellular signaling processes traditionally have been described as
linear sequences of events, it is now evident that they may be
represented more accurately as network-like structures. The emerging
paradigm can be represented readily with the use of Boolean language.
This digital (numeric) formalism allows an accurate qualitative
description of the signal transduction processes, and a dynamic
representation through computer simulation. Moreover, it provides the
required power to process the increasing amount of information emerging
from the fields of genomics and proteomics, and from the use of new
technologies such as microarray analysis. In this review, we have used
the Boolean language to represent and analyze part of the signaling
network of disease resistance in Arabidopsis.
1
This work was supported by the Swiss National
Science Foundation (grant no. FN 3100-055662.98). M.B.T.S.C. is a
postdoctoral fellow of the Swiss Federal Commission of Scholarships for
Foreign Students.
*
Corresponding author; e-mail thierry.genoud{at}unifr.ch; fax
41-26-300-9740.
© 2001 American Society of Plant Physiologists
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