文章基本信息

标题：COMBINATORIAL APPROACHES FOR INVERSE METABOLIC ENGINEERING APPLICATIONS
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作者：Georgios Skretas ; Fragiskos N. Kolisis
期刊名称：Computational and Structural Biotechnology Journal
印刷版ISSN：2001-0370
出版年度：2012
卷号：3
期号：4
DOI：10.5936/csbj.201210021
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出版社：Computational and Structural Biotechnology Journal
摘要：Traditional metabolic engineering analyzes biosynthetic and physiological pathways, identifies bottlenecks, and makes targeted genetic modifications with the ultimate goal of increasing the production of high-value products in living cells. Such efforts have led to the development of a variety of organisms with industrially relevant properties. However, there are a number of cellular phenotypes important for research and the industry for which the rational selection of cellular targets for modification is not easy or possible. In these cases, strain engineering can be alternatively carried out using “inverse metabolic engineering”, an approach that first generates genetic diversity by subjecting a population of cells to a particular mutagenic process, and then utilizes genetic screens or selections to identify the clones exhibiting the desired phenotype. Given the availability of an appropriate screen for a particular property, the success of inverse metabolic engineering efforts usually depends on the level and quality of genetic diversity which can be generated. Here, we review classic and recently developed combinatorial approaches for creating such genetic diversity and discuss the use of these methodologies in inverse metabolic engineering applications.
关键词：inverse metabolic engineering ; genetic engineering ; microbes ; genetic screening ; mutagenesis