Open AccessArabidopsis thaliana as a model organism in systems biology
Author(s) -
Van Norman Jaimie M.,
Benfey Philip N.
Publication year - 2009
Publication title -
wiley interdisciplinary reviews: systems biology and medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.087
H-Index - 51
eISSN - 1939-005X
pISSN - 1939-5094
DOI - 10.1002/wsbm.25
Subject(s) - systems biology , modelling biological systems , computational biology , organism , biological network , identification (biology) , arabidopsis , biology , synthetic biology , model organism , function (biology) , gene regulatory network , systems medicine , arabidopsis thaliana , metabolic network , interdependence , computer science , gene , genetics , ecology , gene expression , mutant , political science , law
Abstract Significant progress has been made in the identification of genes and gene networks involved in key biological processes. Yet, how these genes and networks are coordinated over increasing levels of biological complexity, from cells to tissues to organs, remains unclear. To address complex biological questions, biologists are increasingly using high‐throughput tools and systems biology approaches to examine complex biological systems at a global scale. A system is a network of interacting and interdependent components that shape the system's unique properties. Systems biology studies the organization of system components and their interactions, with the idea that unique properties of that system can be observed only through study of the system as a whole. The application of systems biology approaches to questions in plant biology has been informative. In this review, we give examples of how systems biology is currently being used in Arabidopsis to investigate the transcriptional networks regulating root development, the metabolic response to stress, and the genetic regulation of metabolic variability. From these studies, we are beginning to obtain sufficient data to generate more accurate models for system function. Further investigation of plant systems will require data gathering from specific cells and tissues, continued improvement in metabolic technologies, and novel computational methods for data visualization and modeling. Copyright © 2009 John Wiley & Sons, Inc. This article is categorized under: Physiology > Physiology of Model Organisms