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Updated: Feb 11, 2026

Author Spotlight: Optimizing Hollow-Fiber Membranes for Continuous Liquid-Liquid Extraction of Medium-Chain Fatty Acids
Published on: August 9, 2024
Matching Protein Interfaces for Improved Medium-Chain Fatty Acid Production
Stephen Sarria1, Thomas G Bartholow2, Adam Verga1
1School of Chemistry and Biochemistry , Georgia Institute of Technology , Atlanta , Georgia 30332 , United States.
Engineered bacterial enzymes significantly boosted medium-chain fatty acid (MCFA) production by over 3-fold. This advancement in microbial chemical synthesis utilized improved enzyme interactions and a novel sensor for future optimization.
Area of Science:
- Biotechnology
- Synthetic Biology
- Metabolic Engineering
Background:
- Medium-chain fatty acids (MCFAs) are crucial precursors for synthesizing valuable chemicals like α-olefins and dicarboxylic acids.
- Microbial production of MCFAs is often constrained by the efficiency and specificity of fatty acyl-ACP thioesterases within bacteria.
Purpose of the Study:
- To enhance microbial production of MCFAs by engineering a heterologous bacterial fatty acyl-ACP thioesterase for improved activity in Escherichia coli.
- To investigate strategies for increasing the titers of microbially produced chemicals through enzyme interface engineering.
Main Methods:
- Engineered a heterologous Acinetobacter baylyi fatty acyl-ACP thioesterase (AbTE) by introducing positively charged amino acids at its surface to improve electrostatic matching with endogenous E. coli fatty acid ACP (AcpP).
- Utilized nuclear magnetic resonance (NMR) titration to analyze the binding interactions between engineered AbTE variants and E. coli octanoyl-AcpP.
- Employed a previously developed G-protein coupled receptor (GPCR)-based sensor to detect and screen MCFAs secreted by E. coli expressing different AbTE variants.
Main Results:
- Engineered AbTE variants increased secreted MCFA titers by more than 3-fold compared to the wild-type enzyme.
- The most effective AbTE mutant produced 131 mg/L of MCFAs, constituting 80% of all secreted fatty acids after 72 hours.
- Demonstrated that GPCR-based sensors can effectively detect MCFAs directly in the supernatant of producer microbes, irrespective of the microbial strain.
Conclusions:
- Engineering the interface between heterologous enzymes and endogenous host proteins is an effective strategy for increasing the production titers of microbially synthesized chemicals.
- GPCR-based sensors offer a versatile tool for high-throughput screening and sensor-guided engineering of microbial cell factories for chemical production.
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