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Updated: Sep 1, 2025
07:59
A Customizable Approach for the Enzymatic Production and Purification of Diterpenoid Natural Products
Published on: October 4, 2019
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A kinetic framework for modeling oleochemical biosynthesis in Escherichia coli
Jackson Peoples1, Sophia Ruppe1, Kathryn Mains1
1Department of Chemical and Biological Engineering, University of Colorado, Boulder, Boulder, Colorado, USA.
Biotechnology and Bioengineering
|August 12, 2022
Summary
Microbial fatty acid synthases (FASs) can produce fuels and chemicals, but tuning their output is difficult. This study developed kinetic models to predict and control FAS pathway products, improving biofuel and oleochemical production.
Area of Science:
- Biotechnology
- Metabolic Engineering
- Synthetic Biology
Background:
- Microorganisms synthesize fatty acids using fatty acid synthases (FASs).
- FAS pathways offer potential for producing diverse fuels and chemicals.
- Current methods for tuning FAS product profiles are often inefficient and lead to off-target products.
Purpose of the Study:
- To develop a kinetic modeling framework for predicting and optimizing oleochemical production from microbial fatty acid synthases.
- To understand and mitigate challenges in controlling product profiles of FAS-based pathways.
- To provide a versatile tool for engineering microbial cell factories.
Main Methods:
- Developed a detailed kinetic model of the Escherichia coli fatty acid synthase.
- Applied the model to simulate nine distinct oleochemical pathways, including those for alkanes, fatty acid ethyl esters (FAEEs), and alcohols.
- Validated model predictions against experimental data and in vivo study results.
- Integrated models into a user-friendly graphical interface.
Main Results:
- Models accurately predicted experimental data and explained previously observed in vivo phenomena.
- Identified that enzyme overexpression can lead to reduced titers due to incompatible metabolite pools.
- Demonstrated that coordinated shifts in enzyme concentrations can tune product profiles in pathways with promiscuous enzymes.
- Developed a versatile kinetic framework applicable to various biochemical contexts.
Conclusions:
- Kinetic modeling provides a powerful approach to rationally design and optimize microbial oleochemical production.
- Understanding metabolic shifts and enzyme specificities is crucial for engineering targeted product formation.
- The developed modeling framework and interface offer a valuable resource for researchers in metabolic engineering and synthetic biology.
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