系统生物技术——组学时代的代谢工程

Systems biotechnology—metabolic engineering in omics era

高通量实验技术的广泛应用产生了海量数据,利用生物信息学工具整合这些数据,加深了人们对细菌生理活动规律的认识,系统生物学应运而生。系统生物学的出现使代谢工程从局部通路水平上升到整体水平,代谢工程也因此进入了新的发展阶段——系统生物技术时代。系统生物技术通过整合各个层次组学数据,建立数学模型,或通过比较不同菌株或同一菌株在不同条件下基因组、转录组、蛋白组或代谢组的差异以阐明生命活动规律,在此基础上,对影响表型的靶基因进行改造,得到符合预期的表型。随着新的高通量实验技术的不断运用以及生物信息学的发展,系统生物技术必将取得更大进步。

High throughput technology has produced large amounts of omics data. Integration of these data with the help of bioinformatics tools has facilitated our understanding of the cell physiology onto the system level. The metabolic engineering strategy has changed from the local pathway level to the whole system level, and the era of systems biotechnology coming. Systems biotechnology manipulates the targets identified by constructing system level models or by comparing the genome, transcriptome, metabolome,and proteome of different strains or the same strain under different conditions. Great progress will only be achieved with the development of both technology and bioinformatics tools.