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Quantitative evaluation of energy-carbon flux coupling and multi-scale synergistic design for microbial carbon fixation
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Longhao WU1, Yuan WANG1, Zihe LIU2, *
Acta Microbiologica Sinica | 2026, 66(9) : 4320 - 4340
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Acta Microbiologica Sinica | 2026, 66(9): 4320-4340
Review
Quantitative evaluation of energy-carbon flux coupling and multi-scale synergistic design for microbial carbon fixation
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Longhao WU1, Yuan WANG1, Zihe LIU2, *
Affiliations
  • 1.Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing, China
  • 2.College of Life Science and Technology, Beijing University of Chemical Technology, Beijing, China
Published: 2026-09-04 doi: 10.13343/j.cnki.wsxb.20260365
Outline
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The efficient conversion of CO2 into fuels and chemicals represents a key route toward sustainable biomanufacturing, and microbial cell factories offer significant potential for this purpose. Despite substantial advances in carbon fixation pathway design and carbon flux rewiring, the performance of microbial CO2-fixing systems remains largely constrained by the efficiency of energy supply and utilization. At the core of this limitation is a systemic mismatch between energy metabolism and carbon fixation, involving discrepancies in energy carrier types [ATP, NAD(P)H, and low-potential electrons], supply ratios, and redox potential, which ultimately restrict carbon flux and energy utilization efficiency. From the perspective of energy-carbon flux coupling, this review proposes an energy conversion chain framework that conceptualizes carbon fixation as a cascade network comprising energy input, electron transfer, and carbon assimilation. On the basis of this framework, a quantitative evaluation system is established, encompassing energy input efficiency (EE), redox/electron utilization efficiency (RE), and energy-to-carbon conversion efficiency (ECE). By integrating experimental measurements with metabolic modeling, we systematically analyze the distribution of energy carriers and electron fluxes and identify key bottlenecks, including limitations in energy input flux, electron transfer losses, cofactor mismatches, and reaction network efficiency. At the engineering level, we further summarize strategies for improving energy-carbon compatibility, including chassis selection under energy constraints, construction of exogenous energy-supplying modules, and rewiring of endogenous energy networks. Building upon these advances, a multi-scale energy-carbon co-design framework is proposed to achieve precise matching between energy supply and carbon fixation demand. Overall, this review redefines energy metabolism as a central design dimension in carbon fixation engineering and provides both a theoretical foundation and engineering strategies for the development of efficient and robust CO2 bioconversion systems.

microbial carbon fixation  /  energy metabolism  /  cofactor engineering  /  adaptive regulation  /  synthetic biology
Longhao WU, Yuan WANG, Zihe LIU. Quantitative evaluation of energy-carbon flux coupling and multi-scale synergistic design for microbial carbon fixation[J]. Acta Microbiologica Sinica, 2026 , 66 (9) : 4320 -4340 . DOI: 10.13343/j.cnki.wsxb.20260365
  • the National Key Research and Development Program of China(2025YFA0921800)
  • the Fundamental Research Funds for the Central Universities(PT2026-09)
Year 2026 volume 66 Issue 9
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Article Info
doi: 10.13343/j.cnki.wsxb.20260365
  • Receive Date:2026-05-02
  • Online Date:2026-09-09
  • Published:2026-09-04
Article Data
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History
  • Received:2026-05-02
  • Accepted:2026-06-26
Funding
the National Key Research and Development Program of China(2025YFA0921800)
the Fundamental Research Funds for the Central Universities(PT2026-09)
Affiliations
    1.Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing, China
    2.College of Life Science and Technology, Beijing University of Chemical Technology, Beijing, China

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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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