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Chen Z, Yu S, Liu J, Guo L, Wu T, Duan P, Yan D, Huang C, Huo Y. Concentration Recognition-Based Auto-Dynamic Regulation System (CRUISE) Enabling Efficient Production of Higher Alcohols. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024; 11:e2310215. [PMID: 38626358 PMCID: PMC11187965 DOI: 10.1002/advs.202310215] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/26/2023] [Revised: 03/12/2024] [Indexed: 04/18/2024]
Abstract
Microbial factories lacking the ability of dynamically regulating the pathway enzymes overexpression, according to in situ metabolite concentrations, are suboptimal, especially when the metabolic intermediates are competed by growth and chemical production. The production of higher alcohols (HAs), which hijacks the amino acids (AAs) from protein biosynthesis, minimizes the intracellular concentration of AAs and thus inhibits the host growth. To balance the resource allocation and maintain stable AA flux, this work utilizes AA-responsive transcriptional attenuator ivbL and HA-responsive transcriptional activator BmoR to establish a concentration recognition-based auto-dynamic regulation system (CRUISE). This system ultimately maintains the intracellular homeostasis of AA and maximizes the production of HA. It is demonstrated that ivbL-driven enzymes overexpression can dynamically regulate the AA-to-HA conversion while BmoR-driven enzymes overexpression can accelerate the AA biosynthesis during the HA production in a feedback activation mode. The AA flux in biosynthesis and conversion pathways is balanced via the intracellular AA concentration, which is vice versa stabilized by the competition between AA biosynthesis and conversion. The CRUISE, further aided by scaffold-based self-assembly, enables 40.4 g L-1 of isobutanol production in a bioreactor. Taken together, CRUISE realizes robust HA production and sheds new light on the dynamic flux control during the process of chemical production.
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Affiliation(s)
- Zhenya Chen
- Key Laboratory of Molecular Medicine and BiotherapyAerospace Center HospitalSchool of Life ScienceBeijing Institute of TechnologyHaidian DistrictNo. 5 South Zhongguancun StreetBeijing100081China
- Tangshan Research InstituteBeijing Institute of Technology, No. 57, South Jianshe Road, Lubei DistrictTangshanHebei063000China
| | - Shengzhu Yu
- Key Laboratory of Molecular Medicine and BiotherapyAerospace Center HospitalSchool of Life ScienceBeijing Institute of TechnologyHaidian DistrictNo. 5 South Zhongguancun StreetBeijing100081China
| | - Jing Liu
- Key Laboratory of Molecular Medicine and BiotherapyAerospace Center HospitalSchool of Life ScienceBeijing Institute of TechnologyHaidian DistrictNo. 5 South Zhongguancun StreetBeijing100081China
| | - Liwei Guo
- Key Laboratory of Molecular Medicine and BiotherapyAerospace Center HospitalSchool of Life ScienceBeijing Institute of TechnologyHaidian DistrictNo. 5 South Zhongguancun StreetBeijing100081China
| | - Tong Wu
- Key Laboratory of Molecular Medicine and BiotherapyAerospace Center HospitalSchool of Life ScienceBeijing Institute of TechnologyHaidian DistrictNo. 5 South Zhongguancun StreetBeijing100081China
| | - Peifeng Duan
- Key Laboratory of Molecular Medicine and BiotherapyAerospace Center HospitalSchool of Life ScienceBeijing Institute of TechnologyHaidian DistrictNo. 5 South Zhongguancun StreetBeijing100081China
| | - Dongli Yan
- Key Laboratory of Molecular Medicine and BiotherapyAerospace Center HospitalSchool of Life ScienceBeijing Institute of TechnologyHaidian DistrictNo. 5 South Zhongguancun StreetBeijing100081China
| | - Chaoyong Huang
- Key Laboratory of Molecular Medicine and BiotherapyAerospace Center HospitalSchool of Life ScienceBeijing Institute of TechnologyHaidian DistrictNo. 5 South Zhongguancun StreetBeijing100081China
| | - Yi‐Xin Huo
- Key Laboratory of Molecular Medicine and BiotherapyAerospace Center HospitalSchool of Life ScienceBeijing Institute of TechnologyHaidian DistrictNo. 5 South Zhongguancun StreetBeijing100081China
- Tangshan Research InstituteBeijing Institute of Technology, No. 57, South Jianshe Road, Lubei DistrictTangshanHebei063000China
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Jiang Z, Jiang Y, Wu H, Zhang W, Xin F, Ma J, Jiang M. Cofactor Metabolic Engineering of Escherichia coli for Aerobic L-Malate Production with Lower CO 2 Emissions. Bioengineering (Basel) 2023; 10:881. [PMID: 37627766 PMCID: PMC10451681 DOI: 10.3390/bioengineering10080881] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Revised: 06/16/2023] [Accepted: 06/23/2023] [Indexed: 08/27/2023] Open
Abstract
Escherichia coli has been engineered for L-malate production via aerobic cultivation. However, the maximum yield obtained through this mode is inferior to that of anaerobic fermentation due to massive amounts of CO2 emissions. Here, we aim to address this issue by reducing CO2 emissions of recombinant E. coli during aerobic L-malate production. Our findings indicated that NADH oxidation and ATP-synthesis-related genes were down-regulated with 2 g/L of YE during aerobic cultivations of E. coli E23, as compared to 5 g/L of YE. Then, E23 was engineered via the knockout of nuoA and the introduction of the nonoxidative glycolysis (NOG) pathway, resulting in a reduction of NAD+ and ATP supplies. The results demonstrate that E23 (ΔnuoA, NOG) exhibited decreased CO2 emissions, and it produced 21.3 g/L of L-malate from glucose aerobically with the improved yield of 0.43 g/g. This study suggests that a restricted NAD+ and ATP supply can prompt E. coli to engage in incomplete oxidization of glucose, leading to the accumulation of metabolites instead of utilizing them in cellular respiration.
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Affiliation(s)
| | | | | | | | | | - Jiangfeng Ma
- State Key Laboratory of Materials-Oriented Chemical Engineering, College of Biotechnology and Pharmaceutical Engineering, Nanjing Tech University, Nanjing 211800, China
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Valle A, Soto Z, Muhamadali H, Hollywood KA, Xu Y, Lloyd JR, Goodacre R, Cantero D, Cabrera G, Bolivar J. Metabolomics for the design of new metabolic engineering strategies for improving aerobic succinic acid production in Escherichia coli. Metabolomics 2022; 18:56. [PMID: 35857216 PMCID: PMC9300530 DOI: 10.1007/s11306-022-01912-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/16/2021] [Accepted: 06/17/2022] [Indexed: 11/24/2022]
Abstract
INTRODUCTION Glycerol is a byproduct from the biodiesel industry that can be biotransformed by Escherichia coli to high added-value products such as succinate under aerobic conditions. The main genetic engineering strategies to achieve this aim involve the mutation of succinate dehydrogenase (sdhA) gene and also those responsible for acetate synthesis including acetate kinase, phosphate acetyl transferase and pyruvate oxidase encoded by ackA, pta and pox genes respectively in the ΔsdhAΔack-ptaΔpox (M4) mutant. Other genetic manipulations to rewire the metabolism toward succinate consist on the activation of the glyoxylate shunt or blockage the pentose phosphate pathway (PPP) by deletion of isocitrate lyase repressor (iclR) or gluconate dehydrogenase (gnd) genes on M4-ΔiclR and M4-Δgnd mutants respectively. OBJECTIVE To deeply understand the effect of the blocking of the pentose phosphate pathway (PPP) or the activation of the glyoxylate shunt, metabolite profiles were analyzed on M4-Δgnd, M4-ΔiclR and M4 mutants. METHODS Metabolomics was performed by FT-IR and GC-MS for metabolite fingerprinting and HPLC for quantification of succinate and glycerol. RESULTS Most of the 65 identified metabolites showed lower relative levels in the M4-ΔiclR and M4-Δgnd mutants than those of the M4. However, fructose 1,6-biphosphate, trehalose, isovaleric acid and mannitol relative concentrations were increased in M4-ΔiclR and M4-Δgnd mutants. To further improve succinate production, the synthesis of mannitol was suppressed by deletion of mannitol dehydrogenase (mtlD) on M4-ΔgndΔmtlD mutant that increase ~ 20% respect to M4-Δgnd. CONCLUSION Metabolomics can serve as a holistic tool to identify bottlenecks in metabolic pathways by a non-rational design. Genetic manipulation to release these restrictions could increase the production of succinate.
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Affiliation(s)
- Antonio Valle
- Department of Biomedicine, Biotechnology and Public Health-Biochemistry and Molecular Biology, University of Cadiz, Campus Universitario de Puerto Real, 11510, Puerto Real, Cádiz, Spain.
- Institute of Viticulture and Agri-Food Research (IVAGRO) - International Campus of Excellence (ceiA3), University of Cadiz, 11510, Puerto Real, Cádiz, Spain.
| | - Zamira Soto
- Department of Biomedicine, Biotechnology and Public Health-Biochemistry and Molecular Biology, University of Cadiz, Campus Universitario de Puerto Real, 11510, Puerto Real, Cádiz, Spain
- Department of Chemical Engineering and Food Technology, University of Cadiz, Campus Universitario de Puerto Real, 11510, Puerto Real, Cádiz, Spain
- Faculty of Basic and Biomedical Sciences, Universidad Simón Bolívar, 080020, Barranquilla, Colombia
| | - Howbeer Muhamadali
- School of Chemistry, Manchester Institute of Biotechnology, University of Manchester, Manchester, M1 7DN, UK
- Department of Biochemistry and Systems Biology, Institute of Integrative Systems, Molecular and Integrative Biology, University of Liverpool, Biosciences Building, Crown Street, Liverpool, L69 7ZB, UK
| | - Katherine A Hollywood
- Manchester Centre for Synthetic Biology of Fine and Speciality Chemicals (SYNBIOCHEM), Manchester Institute of Biotechnology, The University of Manchester, Manchester, M1 7DN, UK
| | - Yun Xu
- School of Chemistry, Manchester Institute of Biotechnology, University of Manchester, Manchester, M1 7DN, UK
- Department of Biochemistry and Systems Biology, Institute of Integrative Systems, Molecular and Integrative Biology, University of Liverpool, Biosciences Building, Crown Street, Liverpool, L69 7ZB, UK
| | - Jonathan R Lloyd
- Williamson Research Centre, School of Earth & Environmental Sciences, University of Manchester, Manchester, M13 9PL, UK
| | - Royston Goodacre
- School of Chemistry, Manchester Institute of Biotechnology, University of Manchester, Manchester, M1 7DN, UK
- Department of Biochemistry and Systems Biology, Institute of Integrative Systems, Molecular and Integrative Biology, University of Liverpool, Biosciences Building, Crown Street, Liverpool, L69 7ZB, UK
| | - Domingo Cantero
- Department of Chemical Engineering and Food Technology, University of Cadiz, Campus Universitario de Puerto Real, 11510, Puerto Real, Cádiz, Spain
- Institute of Viticulture and Agri-Food Research (IVAGRO) - International Campus of Excellence (ceiA3), University of Cadiz, 11510, Puerto Real, Cádiz, Spain
| | - Gema Cabrera
- Department of Chemical Engineering and Food Technology, University of Cadiz, Campus Universitario de Puerto Real, 11510, Puerto Real, Cádiz, Spain
- Institute of Viticulture and Agri-Food Research (IVAGRO) - International Campus of Excellence (ceiA3), University of Cadiz, 11510, Puerto Real, Cádiz, Spain
| | - Jorge Bolivar
- Department of Biomedicine, Biotechnology and Public Health-Biochemistry and Molecular Biology, University of Cadiz, Campus Universitario de Puerto Real, 11510, Puerto Real, Cádiz, Spain.
- Institute of Biomolecules (INBIO), University of Cadiz, 11510, Puerto Real, Cádiz, Spain.
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