Arabidopsis thaliana as a model organism in systems biology

模拟生物系统 生物网络 生物 鉴定(生物学) 合成生物学 有机体 拟南芥 功能(生物学) 基因调控网络 系统医学 模式生物 拟南芥 相互依存 系统生物学 代谢网络 计算生物学 细胞生物学 计算机科学 基因 多细胞生物 进化生物学 遗传学 生态学 基因表达 突变体 法学 政治学
作者
Jaimie M. Van Norman,Philip N. Benfey
出处
期刊:Wiley Interdisciplinary Reviews: Systems Biology and Medicine [Wiley]
卷期号:1 (3): 372-379 被引量:34
标识
DOI:10.1002/wsbm.25
摘要

Significant progress has been made in 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 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.

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