In Silico Design of Engineering Optimization via OptHandle for Effective Synthesis of Adipic Acid Precursor, α-Aminoadipate

Author:

Zhang Yang1,Cai Bingqi1,Liu Meng1,He Keqin1,Gong Zhijin1,Bi Haoran1,Wang Kai1ORCID,Chen Biqiang1,Wang Meng1,Su Haijia1,Tan Tianwei1

Affiliation:

1. National Energy R&D Center for Biorefinery, Beijing University of Chemical Technology, Beijing 100029, China

Abstract

The green biosynthesis of adipic acid, an important monomer of nylon 6,6, has become a research hotspot. α-Aminoadipate is a key intermediate in the metabolic pathway that converts L-lysine to produce adipic acid. In addition, metabolic flux analysis has become an important part of metabolic engineering. Many metabolic optimization algorithms have been developed to predict engineering intervention strategies with the aim of improving the production of target chemicals. Here, OptHandle, a new metabolic optimization algorithm, has been developed. And, we use OptHandle to optimize the biosynthesis of α-aminoadipate. Based on the results of OptHandle, an engineered Escherichia coli with a 13-fold higher titer was obtained, and 1.10 ± 0.02 g/L of α-aminoadipate was produced. The efficient synthesis of α-aminoadipate lays a foundation for the green production of adipic acid.

Funder

National Key R&D Program of China

National Natural Science Foundation of China

Publisher

MDPI AG

Subject

Plant Science,Biochemistry, Genetics and Molecular Biology (miscellaneous),Food Science

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