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Published on: September 19, 2019
Accelerating pathway evolution by increasing the gene dosage of chromosomal segments
Melissa Tumen-Velasquez1, Christopher W Johnson2, Alaa Ahmed1
1Department of Microbiology, University of Georgia, Athens, GA 30602.
Researchers developed Evolution by Amplification and Synthetic Biology (EASy) to accelerate microbial evolution. This method uses targeted gene amplification to enable bacteria to rapidly evolve new traits, such as the ability to metabolize lignin compounds.
Area of Science:
- Microbiology
- Synthetic Biology
- Metabolic Engineering
Background:
- Experimental evolution accelerates adaptation but often relies on chance events like increased gene dosage.
- Targeted gene amplification offers a way to induce beneficial mutations and speed up evolution.
Purpose of the Study:
- To develop a method for inducing targeted chromosomal segment amplification to facilitate rapid evolution.
- To apply this method to engineer microbes for the catabolism of lignin-derived aromatic compounds.
Main Methods:
- Developed the Evolution by Amplification and Synthetic Biology (EASy) method to create tandem arrays of chromosomal regions.
- Applied EASy to *Acinetobacter baylyi* for the degradation of guaiacol, a lignin product.
- Identified and characterized *Amycolatopsis* genes (*gcoAB*) involved in guaiacol catabolism.
Main Results:
- EASy successfully generated strains capable of utilizing guaiacol as a sole carbon source within approximately 1,000 generations.
- Discovered *gcoAB* genes encoding a cytochrome P450 enzyme that converts guaiacol to catechol.
- Observed the emergence of evolved alleles, including fusions between GcoA and CatA, conferring enhanced guaiacol metabolism.
Conclusions:
- Harnessing chromosomal gene amplification via EASy significantly accelerates the evolution of desirable traits in microbes.
- This approach has potential applications in metabolic engineering and synthetic biology for biofuel production and bioremediation.
- EASy provides a powerful tool for directed evolution, overcoming limitations of traditional methods.
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