Constructing efficient bacterial cell factories to enable one-carbon utilization based on quantitative biology:A review

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外文摘要：Developing methylotrophic cell factories that can efficiently catalyze organic one-carbon(C1)feedstocks derived from electrocatalytic reduction of car-bon dioxide into bio-based chemicals and biofuels is of strategic significance for building a carbon-neutral,sustainable economic and industrial system.With the rapid advancement of RNA sequencing technology and mass spectrometer analysis,researchers have used these quantitative microbi-ology methods extensively,especially isotope-based metabolic flux anal-ysis,to study the metabolic processes initiating from C1 feedstocks in natural C1-utilizing bacteria and synthetic C1 bacteria.This paper reviews the use of advanced quantitative analysis in recent years to understand the metabolic network and basic principles in the metabolism of natural C1-utilizing bacteria grown on methane,methanol,or formate.The acquired knowledge serves as a guide to rewire the central methylotrophic meta-bolism of natural C1-utilizing bacteria to improve the carbon conversion efficiency,and to engineer non-C1-utilizing bacteria into synthetic strains that can use C1 feedstocks as the sole carbon and energy source.These progresses ultimately enhance the design and construction of highly effi-cient C1-based cell factories to synthesize diverse high value-added prod-ucts.The integration of quantitative biology and synthetic biology will advance the iterative cycle of understand-design-build-testing-learning to enhance C1-based biomanufacturing in the future.

外文关键词：

13C-metabolic flux analysismethylotrophic cell factoriesone-carbon feedstockquantitative biology

作者：

Yazhen Song、Chenxi Feng、Difei Zhou、Zengxin Ma、Lian He、Cong Zhang、Guihong Yu、Yan Zhao、Song Yang、Xinhui Xing

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作者单位：

School of Life Sciences,Shandong Province Key Laboratory of Applied Mycology,and Qingdao International Center on Microbes Utilizing Biogas,Qingdao Agricultural University,Qingdao,China

Department of Chemical Engineering,University of Washington,Seattle,Washington,USA

Key Laboratory of Systems Bioengineering,Ministry of Education,Tianjin University,Tianjin,China

Key Laboratory of Industrial Biocatalysis,Ministry of Education,Department of Chemical Engineering,Tsinghua University,Beijing,China

Center for Synthetic and Systems Biology,Tsinghua University,Beijing,China

Institute of Biopharmaceutical and Health Engineering,Tsinghua Shenzhen International Graduate School,and Institute of Biomedical Health Technology and Engineering,Shenzhen Bay Laboratory,Shenzhen,China

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基金：

国家重点研发计划国家重点研发计划国家自然科学基金国家自然科学基金国家自然科学基金

项目编号：

2018YFA09015002021YFC2103500220781693200000331900004

出版年：

2024

DOI：

10.1002/qub2.31

定量生物学(英文版)

ISSN：

年,卷(期)：2024.12(1)

参考文献量97