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Systems Biotechnology: an Energing Trend in Metabolic Engineering of Industrial Microorganisms

机译:系统生物技术:工业微生物代谢工程的新兴趋势

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The improvement of production processes to achieve commercially viable production levels is a prerequisite to any bioprocess. Currently, production strains are enhanced using a combination of random and targeted approach. By combining metabolomics technology and genome data analysis, it is possible to replace empirical target-selection strategies with a more scienti fi c approach. All steps of biotechnological development, from up-stream and mid-stream to down-stream processes will bene fi t signi fi cantly by taking systems biotechnological approaches. The prevalence of genome sequence information, in concert with modern molecular biology advances, should have facilitated the easy manipulation of speci fi c genes and pathways for the production of microbial metabolites. A notable success has been made on designing optimized production systems that maximize productivity and minimize raw materials costs for valuable metabolites. A remarkable advantage of this approach up-to-data and its relevant web resources is critically reviewed in this article. Indeed, this alternative approach will not only hopefully be useful for improving the productivity of many meaningful metabolites including antibiotics, enzymes, organic acids, etc. from industrially signi fi cant microorganisms but also will ensure correlation of many experimental reliabilities.
机译:改进生产工艺以达到商业上可行的生产水平是任何生物工艺的先决条件。当前,使用随机和靶向方法的组合来增强生产菌株。通过将代谢组学技术与基因组数据分析相结合,可以用更科学的方法代替经验性的靶标选择策略。通过采用系统生物技术方法,从上游,中游到下游过程的生物技术开发的所有步骤都将非常有益。基因组序列信息的普及,与现代分子生物学的发展相结合,应该有助于对特定基因和微生物代谢物产生途径的简便操作。在设计优化的生产系统方面取得了显著成功,该生产系统可最大程度地提高生产率,并将有价值的代谢物的原材料成本降至最低。本文严格审查了这种方法的显着优势,即可以获取数据及其相关的Web资源。实际上,这种替代方法不仅有望提高工业上重要微生物产生的许多有意义的代谢产物(包括抗生素,酶,有机酸等)的生产率,而且还将确保许多实验可靠性的相关性。

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