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March 3, 2026The Crop Journal17 citationsOpen Access

Biological nitrogen and carbon fixation: Bridging the gap between synthetic symbioses and synthetic biology

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QCQi ChengCMC.C. MaXWXuelu Wang

Key Points

  • This review reimagines biological nitrogen fixation as an engineering target, linking novel methods for enhancing food production and reducing emissions.
  • Key evidence includes the exploration of cross-kingdom strategies that incorporate advanced engineering of nitrogenase and plant-associated diazotrophs with these new systems.
  • Observational analysis across various engineering domains reveals potential solutions to traditional limitations in the Calvin–Benson–Bassham pathway and nitrogen fixation processes.
  • Insights suggest that distributing metabolic functions through engineered consortia may enhance efficiency, highlighting the importance of modular systems in synthetic biology.

Abstract

Biological nitrogen fixation (BNF) and photosynthetic carbon fixation underpin food production and climate mitigation, yet natural systems are constrained by oxygen sensitivity, high energy demand, and inefficient catalysts. This review synthesizes advances that recast these processes as engineering targets and proposes a conceptual roadmap that bridges synthetic symbioses with the synthetic biology of enzymes and pathways. For BNF, progress spans cross-kingdom strategies—from refactoring nif gene sets and targeting nitrogenase assembly to eukaryotic organelles, to engineering plant-associated diazotrophs, rhizosphere control circuits, and emerging nodule-like microenvironments. For carbon assimilation, new-to-nature CO 2 -fixation modules and photorespiratory bypasses illustrate how pathway redesign and alternative carboxylases can circumvent key Calvin–Benson–Bassham limitations, and expanding photosynthetic light capture offers additional leverage. Across these domains, we extract common design principles: (i) nitrogenase output is increasingly governed by carbon/energy supply and electron delivery as much as by oxygen protection; (ii) robust function requires compartment-aware enzyme–chassis coordination, substrate channeling, and dynamic regulation using sensors and control circuits; and (iii) scalable implementation may benefit from distributing metabolic labor across engineered consortia rather than forcing all functions into a single host. We discuss enabling technologies—including AI-guided protein design and directed evolution, cell-free prototyping, chassis toolkits, and materials/bioelectrochemical interfaces—that can accelerate design–build–test–learn cycles and reduce barriers to deployment. Together, these insights define a path toward integrated nitrogen and carbon fixation systems for low-emission agriculture and biomanufacturing.

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Cite This Study

Cheng et al. (2026) studied this question.

synapsesocial.com/papers/69a760d6c6e9836116a2df69https://doi.org/10.1016/j.cj.2026.01.002
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