Biosensor-based high-throughput screening enabled efficient adipic acid production

被引:9
作者
Zhi, Rui [1 ,2 ]
Cheng, Nan [1 ,2 ]
Li, Guohui [1 ,2 ]
Deng, Yu [1 ,2 ]
机构
[1] Jiangnan Univ, Natl Engn Res Ctr Cereal Fermentat & Food Biomfg, Wuxi 214122, Jiangsu, Peoples R China
[2] Jiangnan Univ, Sch Biotechnol, Wuxi 214122, Jiangsu, Peoples R China
基金
中国国家自然科学基金; 中国博士后科学基金;
关键词
Reverse adipate degradation pathway; Adipic acid; Biosensor; High-throughput screening; Genetic heterogeneity; ESCHERICHIA-COLI; PATHWAY; REVERSAL; PLATFORM; ADIPATE; DESIGN;
D O I
10.1007/s00253-023-12669-z
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
Adipic acid is an industrially important chemical, but the current approach to synthesize it can be of serious pollution to the environment. Rencently, bio-based production of adipic acid has significantly advanced with the development of metabolic engineering and synthetic biology. However, genetic heterogeneity-caused decrease of product titer has largely limited the industrialization of chemicals like adipic acid. Therefore, in the attempt to overcome this challenge, we constitutively expressed the reverse adipate degradation pathway, designed and optimized an adipic acid biosensor, and established a high-throughput screening platform to screen for high-performance strains based on the optimized biosensor. Using this platform, we successfully screened a strain with an adipic acid titer of 188.08 mgGreek ano teleiaL(-1). Coupling the screening platform with fermentation optimization, the titer of adipic acid reached 531.88 mgGreek ano teleiaL(-1) under shake flask fermentation, which achieved an 18.78-fold improvement comparing to the initial strain. Scale-up fermentation in a 5-L fermenter utilizing the screened high-performance strain was eventually conducted, in which the adipic acid titer reached 3.62 gGreek ano teleiaL(-1). Overall, strategies developed in this study proved to be a potentially efficient method in reducing the genetic heterogeneity and was expected to provide guidance in helping to build a more efficient industrial screening process.
引用
收藏
页码:5427 / 5438
页数:12
相关论文
共 50 条
[21]   Adipic acid tolerance screening for potential adipic acid production hosts [J].
Emma Karlsson ;
Valeria Mapelli ;
Lisbeth Olsson .
Microbial Cell Factories, 16
[22]   High-Throughput Screening [J].
Wildey, Mary Jo ;
Haunso, Anders ;
Tudor, Matthew ;
Webb, Maria ;
Connick, Jonathan H. .
ANNUAL REPORTS IN MEDICINAL CHEMISTRY, VOL 50: PLATFORM TECHNOLOGIES IN DRUG DISCOVERY AND VALIDATION, 2017, 50 :149-195
[23]   High-Throughput Screening Techniques for the Selection of Thermostable Enzymes [J].
Li, Lanxue ;
Liu, Xiaoqing ;
Bai, Yingguo ;
Yao, Bin ;
Luo, Huiying ;
Tu, Tao .
JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY, 2024, 72 (08) :3833-3845
[24]   Screening and Biosensor-Based Approaches for Lung Cancer Detection [J].
Wang, Lulu .
SENSORS, 2017, 17 (10)
[25]   A hybrid RNA-protein biosensor for high-throughput screening of adenosylcobalamin biosynthesis [J].
Yang, Xia ;
Wang, Huiying ;
Ding, Dongqin ;
Fang, Huan ;
Dong, Huina ;
Zhang, Dawei .
SYNTHETIC AND SYSTEMS BIOTECHNOLOGY, 2024, 9 (03) :513-521
[26]   Efficient estimation of the number of false positives in high-throughput screening [J].
Rootzen, Holger ;
Zholud, Dmitrii .
BIOMETRIKA, 2015, 102 (03) :695-704
[27]   Design of a Genetically Encoded Biosensor for High-Throughput Screening and Engineering 5-Aminolevulinic Acid Hyper-Producing Escherichia coli [J].
Wang, Qi ;
Jia, Minjun ;
Li, Hongjie ;
Li, Qingbin ;
Zhang, Jian ;
Su, Tianyuan ;
Cui, Zhiyong ;
Qi, Qingsheng ;
Wang, Qian .
ACS SUSTAINABLE CHEMISTRY & ENGINEERING, 2024, 12 (12) :4846-4857
[28]   Integration of ARTP mutagenesis with biosensor-mediated high-throughput screening to improve L-serine yield in Corynebacterium glutamicum [J].
Zhang, Xin ;
Zhang, Xiaomei ;
Xu, Guoqiang ;
Zhang, Xiaojuan ;
Shi, Jinsong ;
Xu, Zhenghong .
APPLIED MICROBIOLOGY AND BIOTECHNOLOGY, 2018, 102 (14) :5939-5951
[29]   Clear zone formation in microdroplets for high-throughput screening for lactic acid bacteria [J].
Mori, Koji ;
Watanabe, Mizuki ;
Nanri, Keiko ;
Matsukura, Satoko ;
Ota, Yuri ;
Homma, Nobuyuki ;
Noda, Naohiro .
FRONTIERS IN MICROBIOLOGY, 2024, 15
[30]   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