School of Chemical and Biomedical Engineering, Nanyang Technological University, 62 Nanyang Drive, Singapore, 637459, Singapore.
Appl Microbiol Biotechnol. 2015 Mar;99(5):2093-104. doi: 10.1007/s00253-015-6400-0. Epub 2015 Jan 30.
Microbes have long been used in the industry to produce valuable biochemicals. Combinatorial engineering approaches, new strain engineering tools derived from inverse metabolic engineering, have started to attract attention in recent years, including genome shuffling, error-prone DNA polymerase, global transcription machinery engineering (gTME), random knockout/overexpression libraries, ribosome engineering, multiplex automated genome engineering (MAGE), customized optimization of metabolic pathways by combinatorial transcriptional engineering (COMPACTER), and library construction of "tunable intergenic regions" (TIGR). Since combinatorial approaches and high-throughput screening methods are fundamentally interconnected, color/fluorescence-based, growth-based, and biosensor-based high-throughput screening methods have been reviewed. We believe that with the help of metabolic engineering tools and new combinatorial approaches, plus effective high-throughput screening methods, researchers will be able to achieve better results on improving microorganism performance under stress or enhancing biochemical yield.
微生物长期以来一直被应用于工业生产有价值的生物化学物质。近年来,组合工程方法,即源自反向代谢工程的新型菌株工程工具,开始受到关注,包括基因组改组、易错 DNA 聚合酶、全局转录机制工程 (gTME)、随机敲除/过表达文库、核糖体工程、多重自动化基因组工程 (MAGE)、通过组合转录工程定制优化代谢途径 (COMPACTER) 以及“可调基因间区”(TIGR)文库构建。由于组合方法和高通量筛选方法从根本上是相互关联的,因此综述了基于颜色/荧光、基于生长和基于生物传感器的高通量筛选方法。我们相信,借助代谢工程工具和新的组合方法,以及有效的高通量筛选方法,研究人员将能够在改善微生物在压力下的性能或提高生化产量方面取得更好的效果。