4.8 Article

Programmable gene regulation for metabolic engineering using decoy transcription factor binding sites

Journal

NUCLEIC ACIDS RESEARCH
Volume 49, Issue 2, Pages -

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/nar/gkaa1234

Keywords

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Funding

  1. National Science Foundation [1804096]
  2. Office of Science (BER) at the U.S. Department of Energy [DE-SC0019387]
  3. U.S. Department of Energy (DOE) [DE-SC0019387] Funding Source: U.S. Department of Energy (DOE)
  4. Directorate For Engineering
  5. Div Of Chem, Bioeng, Env, & Transp Sys [1804096] Funding Source: National Science Foundation

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Transcription factor decoys can effectively regulate gene expression, with tunability through changes in copy number or modifications to the DNA decoy site sequence. Introducing the decoy system can significantly increase arginine production in metabolic flux steering, without affecting growth compared to wild type strains.
Transcription factor decoy binding sites are short DNA sequences that can titrate a transcription factor away from its natural binding site, therefore regulating gene expression. In this study, we harness synthetic transcription factor decoy systems to regulate gene expression for metabolic pathways in Escherichia coli. We show that transcription factor decoys can effectively regulate expression of native and heterologous genes. Tunability of the decoy can be engineered via changes in copy number or modifications to the DNA decoy site sequence. Using arginine biosynthesis as a showcase, we observed a 16-fold increase in arginine production when we introduced the decoy system to steer metabolic flux towards increased arginine biosynthesis, with negligible growth differences compared to the wild type strain. The decoy-based production strain retains high genetic integrity; in contrast to a gene knockout approach where mutations were common, we detected no mutations in the production system using the decoy-based strain. We further show that transcription factor decoys are amenable to multiplexed library screening by demonstrating enhanced tolerance to pinene with a combinatorial decoy library. Our study shows that transcription factor decoy binding sites are a powerful and compact tool for metabolic engineering.

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