摘要
系统生物学时代,各种高通量组学技术产生了大量数据。一些旨在挖掘数据和整合信息的计算机建模技术也逐渐用于系统水平定量分析细胞代谢。模型有助于指导实验设计,实验结果反过来检验和优化模型,虚实结合,有利于在系统层面认识复杂的代谢过程。根据这些信息,可以设计、优化工业微生物代谢特征,高表达目标代谢物。本文综述了系统生物技术在工业(药用)微生物育种和高通量筛选中的最新应用进展。
In the systems biology era, various high-throughput omics experimental methodologies have yield plenty of data. In silico modelling and simulation approaches seeking to data mining and integrating are being employed for quantitatively analyzing cellular metabolism at the systems level. The interactive of model and benchwork facilitate understanding the sophisticated metabolism systematically and improving the metabolic features of industrial（pharmaceutical） microbial strains and the expression of target metabolites. Based on our practice using systems biotechnology to improve the yield of glutathione from Schizosaccharomyces pombe and the latest advance in this field was reviewed.
出处
《工业微生物》
CAS
CSCD
北大核心
2007年第3期48-51,共4页
Industrial Microbiology
基金
国家自然科学基金重点项目(90510020)
西南大学211微生物学科重点建设项目
重庆市科委攻关项目(2003-8119)
关键词
系统生物技术
微生物育种
组学
systems biotechnology
microbial breeding
-omics
