Biosensor-guided discovery and engineering of metabolic enzymes

被引:9
作者
Hwang, Hyun Gyu [1 ,4 ]
Ye, Dae-Yeol [2 ]
Jung, Gyoo Yeol [2 ,3 ]
机构
[1] Pohang Univ Sci & Technol, Inst Environm & Energy Technol, 77 Cheongam Ro, Pohang 37673, Gyeongbuk, South Korea
[2] Pohang Univ Sci & Technol, Dept Chem Engn, 77 Cheongam Ro, Pohang 37673, Gyeongbuk, South Korea
[3] Pohang Univ Sci & Technol, Sch Interdisciplinary Biosci & Bioengn, 77 Cheongam Ro, Pohang 37673, Gyeongbuk, South Korea
[4] Cornell Univ, Robert Frederick Sch Chem & Biomol Engn, Ithaca, NY 14853 USA
关键词
Enzyme discovery; Enzyme engineering; Biosensors; High-throughput screening; Metabolic engineering; INDUCED GENE-EXPRESSION; DIRECTED EVOLUTION; WHOLE-CELL; SACCHAROMYCES-CEREVISIAE; SCREENING SYSTEM; CLICK CHEMISTRY; ACID PRODUCTION; ENABLING TOOLS; THROUGHPUT; RIBOSWITCH;
D O I
10.1016/j.biotechadv.2023.108251
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
A variety of chemicals have been produced through metabolic engineering approaches, and enhancing biosynthesis performance can be achieved by using enzymes with high catalytic efficiency. Accordingly, a number of efforts have been made to discover enzymes in nature for various applications. In addition, enzyme engineering approaches have been attempted to suit specific industrial purposes. However, a significant challenge in enzyme discovery and engineering is the efficient screening of enzymes with the desired phenotype from extensive enzyme libraries. To overcome this bottleneck, genetically encoded biosensors have been developed to specifically detect target molecules produced by enzyme activity at the intracellular level. Especially, the biosensors facilitate high-throughput screening (HTS) of targeted enzymes, expanding enzyme discovery and engineering strategies with advances in systems and synthetic biology. This review examines biosensor-guided HTS systems and highlights studies that have utilized these tools to discover enzymes in diverse areas and engineer enzymes to enhance their properties, such as catalytic efficiency, specificity, and stability.
引用
收藏
页数:18
相关论文
共 176 条
[41]   Synthetic metabolism: metabolic engineering meets enzyme design [J].
Erb, Tobias J. ;
Jones, Patrik R. ;
Bar-Even, Arren .
CURRENT OPINION IN CHEMICAL BIOLOGY, 2017, 37 :56-62
[42]   Fermentation for the production of biobased chemicals in a circular economy: a perspective for the period 2022-2050 [J].
Ewing, Tom A. ;
Nouse, Niels ;
van Lint, Matthijs ;
van Haveren, Jacco ;
Hugenholtz, Jeroen ;
van Es, Daan S. .
GREEN CHEMISTRY, 2022, 24 (17) :6373-6405
[43]   A review of metabolic and enzymatic engineering strategies for designing and optimizing performance of microbial cell factories [J].
Fisher, Amanda K. ;
Freedman, Benjamin G. ;
Bevan, David R. ;
Senger, Ryan S. .
COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL, 2014, 11 (18) :91-99
[44]   Displaced by Deceivers: Prevention of Biosensor Cross-Talk Is Pivotal for Successful Biosensor-Based High-Throughput Screening Campaigns [J].
Flachbart, Lion Konstantin ;
Sokolowsky, Sascha ;
Marienhagen, Jan .
ACS SYNTHETIC BIOLOGY, 2019, 8 (08) :1847-1857
[45]   Using a Riboswitch Sensor to Examine Coenzyme B12 Metabolism and Transport in E. coli [J].
Fowler, Casey C. ;
Brown, Eric D. ;
Li, Yingfu .
CHEMISTRY & BIOLOGY, 2010, 17 (07) :756-765
[46]   Alkyne lipids as substrates for click chemistry-based in vitro enzymatic assays [J].
Gaebler, Anne ;
Milan, Robin ;
Straub, Leon ;
Hoelper, Dominik ;
Kuerschner, Lars ;
Thiele, Christoph .
JOURNAL OF LIPID RESEARCH, 2013, 54 (08) :2282-2290
[47]   Ultrahigh-Throughput Enzyme Engineering and Discovery in In Vitro Compartments [J].
Gantz, Maximilian ;
Neun, Stefanie ;
Medcalf, Elliot J. ;
Vliet, Liisa D. van ;
Hollfelder, Florian .
CHEMICAL REVIEWS, 2023, 123 (09) :5571-5611
[48]   Design of a genetically encoded biosensor to establish a high-throughput screening platform for L-cysteine overproduction [J].
Gao, Jinshan ;
Du, Muhua ;
Zhao, Jinhua ;
Zhao, Jinhua ;
Xu, Ning ;
Du, Huanmin ;
Ju, Jiansong ;
Wei, Liang ;
Liu, Jun .
METABOLIC ENGINEERING, 2022, 73 :144-157
[49]   METABOLIC LOAD AND HETEROLOGOUS GENE-EXPRESSION [J].
GLICK, BR .
BIOTECHNOLOGY ADVANCES, 1995, 13 (02) :247-261
[50]   Quorum Sensing-Based Dual-Function Switch and Its Application in Solving Two Key Metabolic Engineering Problems [J].
Gu, Fei ;
Jiang, Wei ;
Mu, Yunlan ;
Huang, Hao ;
Su, Tianyuan ;
Luo, Yue ;
Liang, Quanfeng ;
Qi, Qingsheng .
ACS SYNTHETIC BIOLOGY, 2020, 9 (02) :209-217