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Articles

Effect of acetate metabolism modulation on 2'-fucosyllactose production in engineered Escherichia coli

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Pages 425-436 | Received 30 Nov 2020, Accepted 01 Feb 2021, Published online: 25 Feb 2021
 

Abstract

2'-Fucosyllactose (2'-FL) is one of the most important oligosaccharides in human milk. In this study, a glucose–glycerol mixed carbon source and the deletion of the genes arcA and iclR were attempted for the first time in engineered Escherichia coli to improve 2'-FL production. The highest 2'-FL titre of 5.04 g/L, almost 1.4 times higher than that in the control strain, was obtained in the arcA mutant strain using shake-flask culture. In addition, the arcA mutant showed a significantly reduced accumulation of acetate. However, the deletion of iclR and the double deletion of arcA/iclR provided no benefit in terms of 2'-FL biosynthesis. Overall, these results suggest that deletion of arcA could efficiently increase the 2'-FL yield in E. coli and could lay a foundation for more efficient and larger-scale production. Moreover, in shake-flask culture under optimal conditions, the 2'-FL titer reached a maximum value of 7.14 g/L.

Acknowledgements

This work was supported by the Science and Technology Service Network Initiative of Chinese Academy of Science and Wuhan Science and Technology Bureau under Grant No. KFJ-STS-QYZD-122 and Grant No. 2020020602012110, respectively. In addition, this work was supported by Hubei Industrial Technology Innovation and Incubation Center.

Author contributions

Yingxue Liao conceived and designed the experiments. Yingxue Liao and Yuanfei Ge performed the experiments. Zhijian Ni, Jinyong Wu and Zhongkui Li contributed to the experiment plan and discussion of the manuscript. Yingxue Liao wrote the manuscript under the guidance of Xiangsong Chen and Jianming Yao. All authors reviewed and approved the manuscript.

Disclosure statement

The authors have no financial conflicts of interest to declare.

Additional information

Funding

This work was supported by the Science and Technology Service Network Initiative of Chinese Academy of Science under Grant No. KFJ-STS-QYZD-122.