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An Engineered Variant of E. coli Nissle 1917 with Enhanced Transformation Efficiency and Robustness
Chinmayi R Gudi1, William J Neilson1, Thomas J Mansell1
1Department of Chemical and Biological Engineering, Iowa State University, 618 Bissell Road, Ames, Iowa 50011, United States.
ACS Synthetic Biology
|February 27, 2026
Summary
Researchers enhanced the transformation efficiency of E. coli Nissle 1917 (EcN) using adaptive laboratory evolution. The improved EcN strain demonstrates increased robustness for gut microbiome therapeutic applications.
Area of Science:
- Microbiology
- Synthetic Biology
- Gut Microbiome Research
Background:
- The gut microbiome significantly impacts human health, driving interest in its therapeutic potential.
- Bacterial chassis, like *E. coli* Nissle 1917 (EcN), are explored for drug delivery within the gut.
- EcN's utility is limited by its low transformation efficiency.
Purpose of the Study:
- To enhance the transformation efficiency of *E. coli* Nissle 1917 (EcN).
- To characterize the resulting strain for its suitability in gut therapeutic applications.
- To identify genetic mechanisms underlying the improved phenotype.
Main Methods:
- Adaptive laboratory evolution involving repeated cycles of electroporation and recovery.
- Comprehensive characterization of the evolved strain, including growth, permeability, motility, and iron competition.
- Genome sequencing and gene ontology enrichment analysis.
Main Results:
- The evolved EcN strain exhibited significantly improved transformation efficiency.
- The strain maintained key biological functions and showed enhanced robustness under gut-mimicking conditions.
- Genetic analysis revealed affected pathways potentially responsible for the enhanced phenotype.
Conclusions:
- Adaptive laboratory evolution is an effective strategy to improve EcN's transformation efficiency.
- The enhanced EcN strain is a more robust and efficient chassis for gut microbiome-based therapeutics.
- Understanding the genetic basis provides insights for further strain engineering.
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