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Engineering a Rhodopsin-Based Photo-Electrosynthetic System in Bacteria for CO2 Fixation.

Paul A Davison1, Weiming Tu2, Jiabao Xu2

  • 1Plants, Photosynthesis and Soil, School of Biosciences, University of Sheffield, SheffieldS10 2TN, United Kingdom.

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|October 20, 2022
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Summary
This summary is machine-generated.

Synthetic biology advances enable engineered microbes to convert carbon dioxide (CO2) into biomass using light energy. This study integrates a light-driven proton pump and an external photocell for efficient CO2 fixation and autotrophic growth.

Keywords:
CO2 fixationGloeobacter rhodopsinRalstonia eutrophabiosynthesisphotoautotrophyproteorhodopsinsynthetic biologyβ-carotene

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Area of Science:

  • Synthetic biology
  • Metabolic engineering
  • Bioenergetics

Background:

  • Synthetic biology aims to engineer organisms for solar energy conversion of CO2.
  • Developing efficient CO2 fixation pathways is crucial for sustainable bioproduction.

Purpose of the Study:

  • To engineer a light-dependent electron transfer chain for CO2 fixation.
  • To create a photo-electrosynthetic system for autotrophic microbial growth.

Main Methods:

  • Assembled a light-driven proton pump using Gloeobacter rhodopsin (GR) in Ralstonia eutropha.
  • Integrated an external photocell and riboflavin as an electron donor for CO2 fixation.
  • Utilized a bioreactor with light and CO2 as inputs for rhodopsin-dependent autotrophic growth.

Main Results:

  • Engineered R. eutropha demonstrated 20% growth enhancement with light and formate as electron donor.
  • A solar panel electrode successfully replaced organic compounds as the electron donor.
  • Achieved maximum electron transfer efficiency of 20% for CO2 conversion into biomass.

Conclusions:

  • Developed a novel hybrid photo-electrosynthetic pathway for CO2 fixation.
  • Demonstrated light-driven autotrophic growth of engineered R. eutropha using CO2 as the sole carbon source.
  • Established a sustainable system for converting CO2 into biomass using only light and CO2 inputs.