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Systematic design and in vitro validation of novel one-carbon assimilation pathways.

Authors :
Yang, Xue
Yuan, Qianqian
Luo, Hao
Li, Feiran
Mao, Yufeng
Zhao, Xin
Du, Jiawei
Li, Peishun
Ju, Xiaozhi
Zheng, Yangyang
Chen, Yang
Liu, Yuwan
Jiang, Huifeng
Yao, Yonghong
Ma, Hongwu
Ma, Yanhe
Source :
Metabolic Engineering. Dec2019, Vol. 56, p142-153. 12p.
Publication Year :
2019

Abstract

The utilization of one-carbon (C 1) assimilation pathways to produce chemicals and fuels from low-cost C 1 compounds could greatly reduce the substrate-related production costs, and would also alleviate the pressure of the resource supply for bio-manufacturing. However, the natural C 1 assimilation pathways normally involve ATP consumption or the loss of carbon resources as CO 2 , resulting in low product yields, making the design of novel pathways highly pertinent. Here we present several new ATP-independent and carbon-conserving C 1 assimilation cycles with 100% theoretical carbon yield, which were discovered by computational analysis of metabolic reaction set with 6578 natural reactions from MetaCyc database and 73 computationally predicted aldolase reactions from ATLAS database. Then, kinetic evaluation of these cycles was conducted and the cycles without kinetic traps were chosen for further experimental verification. Finally, we used the two engineered enzymes Gals and TalBF178Y for the artificial reactions to construct a novel C 1 assimilation pathway in vitro and optimized the pathway to achieve 88% carbon yield. These results demonstrate the usefulness of computational design in finding novel metabolic pathways for the efficient utilization of C 1 compounds and shedding light on other promising pathways. • A combinatorial algorithm calculating multiple optimal pathways in metabolic networks. • 59 designed C1 assimilation pathways for AcCoA derived products. • Criteria to choose the most promising C1 assimilation pathways. • In vitro construction of a novel designed pathway reaching 88% carbon yield. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10967176
Volume :
56
Database :
Academic Search Index
Journal :
Metabolic Engineering
Publication Type :
Academic Journal
Accession number :
139277279
Full Text :
https://doi.org/10.1016/j.ymben.2019.09.001