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System-level characterization of engineered and evolved formatotrophic E. coli strains

MPG-Autoren
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Kahnt,  Jörg
Core Facility Mass Spectrometry and Proteomics, Max Planck Institute for Terrestrial Microbiology, Max Planck Society;

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Glatter,  Timo       
Core Facility Mass Spectrometry and Proteomics, Max Planck Institute for Terrestrial Microbiology, Max Planck Society;

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Dronsella,  Beau
Cellular Operating Systems, Department of Biochemistry and Synthetic Metabolism, Max Planck Institute for Terrestrial Microbiology, Max Planck Society;

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Erb,  Tobias J.       
Cellular Operating Systems, Department of Biochemistry and Synthetic Metabolism, Max Planck Institute for Terrestrial Microbiology, Max Planck Society;

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Zitation

Yilmaz, S., Kanis, B., Hogers, R. A., Benito-Vaquerizo, S., Kahnt, J., Glatter, T., et al. (2025). System-level characterization of engineered and evolved formatotrophic E. coli strains. Synthetic and Systems Biotechnology. doi:10.1016/j.synbio.2025.03.001.


Zitierlink: https://hdl.handle.net/21.11116/0000-0010-D4CB-A
Zusammenfassung
One-carbon compounds, such as formate, are promising and sustainable feedstocks for microbial bioproduction of fuels and chemicals. Growth of Escherichia coli on formate was recently achieved by introducing the reductive glycine pathway (rGlyP) into its genome, which is theoretically the most energy- efficient aerobic formate assimilation pathway. While adaptive laboratory evolution was used to enhance the growth rate and biomass yield significantly, still the best performing formatotrophic E. coli strain did not approach the theoretical optimal biomass yield of the rGlyP. In this study, we investigated these previously engineered formatotrophic E. coli strains to find out why the biomass yield was sub-optimal and how it may be improved. Through a combination of metabolic modelling, genomic and proteomic analysis, we identified several potential metabolic bottlenecks and future targets for optimization. This study also reveals further insights in the evolutionary mutations and related changes in proteome allocation that supported the already substantially improved growth of formatotrophic E. coli strain. This systems-level analysis provides key insights to realize high-yield, fast growing formatotrophic strains for future bioproduction.