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Directed Evolution Method in Saccharomyces cerevisiae: Mutant Library Creation and Screening
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A Novel Method of Inducible Directed Evolution to Evolve Complex Phenotypes.

Ibrahim S Al'Abri1, Zidan Li1, Daniel J Haller1

  • 1Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC, USA.

Bio-Protocol
|November 10, 2022
PubMed
Summary
This summary is machine-generated.

Directed evolution can now efficiently mutate long DNA sequences up to 85kb using Inducible Directed Evolution (IDE). This new method improves microbial phenotypes by targeting specific gene clusters, avoiding unwanted mutations.

Keywords:
Complex PhenotypesDirected EvolutionGene ClustersInducible SystemsMutagenesisP1 PhagePathways

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Area of Science:

  • Molecular Biology
  • Microbial Genetics

Background:

  • Directed evolution is key for improving phenotypes by identifying beneficial mutations.
  • Existing methods struggle with evolving long DNA sequences (>5kb), like gene clusters.
  • Adaptive laboratory evolution (ALE) can introduce off-target mutations.

Purpose of the Study:

  • To present a novel directed evolution method, Inducible Directed Evolution (IDE).
  • To enable high-throughput mutagenesis of long DNA sequences (up to 85kb).
  • To optimize complex microbial phenotypes encoded by large gene clusters.

Main Methods:

  • IDE utilizes an intracellular mutagenesis plasmid (MP) to mutagenize a target pathway on a phagemid (PM).
  • A chemical inducer activates a mutagenic operon on the MP, repressing DNA repair mechanisms.
  • Induction of the P1 lytic cycle packages mutagenized phagemids, creating mutant libraries via phage infection.

Main Results:

  • IDE successfully mutates long DNA sequences (up to 36kb demonstrated) with high throughput.
  • The method avoids off-target genomic mutations common in ALE.
  • IDE decouples mutagenesis and screening steps for streamlined optimization.

Conclusions:

  • Inducible Directed Evolution (IDE) is a powerful tool for optimizing complex phenotypes in E. coli.
  • IDE overcomes limitations of existing methods for evolving large DNA sequences.
  • This technique facilitates efficient improvement of microbial strains through targeted gene cluster evolution.