Zhang Chenyang, Wu Yaokang, Xu Xianhao, Lv Xueqin, Li Jianghua, Du Guocheng, Liu Long
Science Center for Future Foods, Jiangnan University, Wuxi 214122, Jiangsu, China.
Key Laboratory of Carbohydrate Chemistry and Biotechnology, Ministry of Education, Jiangnan University, Wuxi 214122, Jiangsu, China.
Sheng Wu Gong Cheng Xue Bao. 2021 Mar 25;37(3):860-873. doi: 10.13345/j.cjb.200640.
Genome-scale metabolic network model (GSMM) is an extremely important guiding tool in the targeted modification of industrial microbial strains, which helps researchers to quickly obtain industrial microbes with specific traits and has attracted increasing attention. Here we reviewe the development history of GSMM and summarized the construction method of GSMM. Furthermore, the development and application of GSMM in industrial microorganisms are elaborated by using four typical industrial microorganisms (Bacillus subtilis, Escherichia coli, Corynebacterium glutamicum, and Saccharomyces cerevisiae) as examples. In addition, prospects in the development trend of GSMM are proposed.
基因组规模代谢网络模型(GSMM)是工业微生物菌株定向改造中极其重要的指导工具,有助于研究人员快速获得具有特定性状的工业微生物,已受到越来越多的关注。在此,我们回顾了GSMM的发展历程并总结了其构建方法。此外,以四种典型工业微生物(枯草芽孢杆菌、大肠杆菌、谷氨酸棒杆菌和酿酒酵母)为例阐述了GSMM在工业微生物中的发展与应用。另外,还对GSMM的发展趋势提出了展望。