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Construction and modular implementation of the THETA cycle for synthetic CO₂ fixation

Biology

Construction and modular implementation of the THETA cycle for synthetic CO₂ fixation

S. Luo, C. Diehl, et al.

Discover how a team of innovative researchers, including Shanshan Luo, Christoph Diehl, and Tobias J. Erb, has engineered a groundbreaking CO₂-fixation pathway known as the THETA cycle, capable of producing valuable biochemicals from carbon dioxide. This pioneering study not only showcases advancements in synthetic biology but also represents a significant stride towards sustainable solutions for carbon capture and utilization.

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~3 min • Beginner • English
Abstract
Synthetic biology offers the opportunity to build solutions for improved capture and conversion of carbon dioxide (CO₂) that outcompete those evolved by nature. Here we demonstrate the design and construction of a new-to-nature CO₂-fixation pathway, the reductive tricarboxylic acid branch/4-hydroxybutyryl-CoA/ethylmalonyl-CoA/acetyl-CoA (THETA) cycle. The THETA cycle encompasses 17 enzymes from 9 organisms and revolves around two of the most efficient CO₂-fixing enzymes described in nature, crotonyl-CoA carboxylase/reductase and phosphoenolpyruvate carboxylase. Here using rational and machine learning-guided optimization approaches, we improved the yield of the cycle by two orders of magnitude and demonstrated the formation of different biochemical building blocks directly from CO₂. Furthermore, we separated the THETA cycle into three modules that we successfully implemented in vivo by exploiting the natural plasticity of Escherichia coli metabolism. Growth-based selection and/or 13C-labelling confirmed the activity of three different modules, demonstrating the first step towards realizing highly orthogonal and complex CO₂-fixation pathways in the background of living cells.
Publisher
Nature Catalysis
Published On
Dec 20, 2023
Authors
Shanshan Luo, Christoph Diehl, Hai He, Young Jun Bae, Melanie Klose, Peter Claus, Niña Socorro Cortina, Celia Alvarez Fernandez, Helena Schulz-Mirbach, Richard McLean, Adán Andrés Ramírez Rojas, Daniel Schindler, Nicole Paczia, Tobias J. Erb
Tags
synthetic biology
CO₂ fixation
biochemical production
THETA cycle
enzyme engineering
machine learning
Escherichia coli
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