ArticleNature communications2020
Awakening a latent carbon fixation cycle in Escherichia coli.
Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.
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Who cites it
36 citing papers in PubMed, 111 citations in OpenAlex.
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- Metagenomic sequencing and binning reveal carbon cycling microorganisms and gene functions in park environments.BMC microbiology · 2026Article
- Systematic design and evaluation of artificial COSynthetic and systems biotechnology · 2025Article
- Review
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- A compact model of Escherichia coli core and biosynthetic metabolism.PLoS computational biology · 2025Article
- A Safety Evaluation of N-Acetylglucosamine Produced byBiomolecules · 2025Article
- Economic and sustainable revolution to facilitate one-carbon biomanufacturing.Nature communications · 2025Review
- Fecal profiling reveals a common microbial signature for pancreatic cancer in Finnish and Iranian cohorts.Gut pathogens · 2025Article
- Computation-aided designs enable developing auxotrophic metabolic sensors for wide-range glyoxylate and glycolate detection.Nature communications · 2025Article
- Seven critical challenges in synthetic one-carbon assimilation and their potential solutions.FEMS microbiology reviews · 2025Review
- Adaptive expression of phage auxiliary metabolic genes in paddy soils and their contribution toward global carbon sequestration.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- A hierarchy of metabolite exchanges in metabolic models of microbial species and communities.PLoS computational biology · 2024Article
- Multi-scale reactor designs extend the physical limits ofbioRxiv : the preprint server for biology · 2024Article
- Dynamic and Static Regulation of Nicotinamide Adenine Dinucleotide Phosphate: Strategies, Challenges, and Future Directions in Metabolic Engineering.Molecules (Basel, Switzerland) · 2024Review
- Non-native Pathway Engineering with CRISPRi for Carbon Dioxide Assimilation and Valued 5-Aminolevulinic Acid Synthesis inACS synthetic biology · 2024Article
- Automated in vivo enzyme engineering accelerates biocatalyst optimization.Nature communications · 2024Review
- Autotrophic growth ofeLife · 2024Article
- Perspectives for Using COBioengineering (Basel, Switzerland) · 2023Review
Corrections and comments
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Authors and funding
9 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Carbon fixation is one of the most important biochemical processes. Most natural carbon fixation pathways are thought to have emerged from enzymes that originally performed other metabolic tasks. Can we recreate the emergence of a carbon fixation pathway in a heterotrophic host by recruiting only endogenous enzymes? In this study, we address this question by systematically analyzing possible carbon fixation pathways composed only of Escherichia coli native enzymes. We identify the GED (Gnd-Entner-Doudoroff) cycle as the simplest pathway that can operate with high thermodynamic driving force. This autocatalytic route is based on reductive carboxylation of ribulose 5-phosphate (Ru5P) by 6-phosphogluconate dehydrogenase (Gnd), followed by reactions of the Entner-Doudoroff pathway, gluconeogenesis, and the pentose phosphate pathway. We demonstrate the in vivo feasibility of this new-to-nature pathway by constructing E. coli gene deletion strains whose growth on pentose sugars depends on the GED shunt, a linear variant of the GED cycle which does not require the regeneration of Ru5P. Several metabolic adaptations, most importantly the increased production of NADPH, assist in establishing sufficiently high flux to sustain this growth. Our study exemplifies a trajectory for the emergence of carbon fixation in a heterotrophic organism and demonstrates a synthetic pathway of biotechnological interest.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.