4.8 Review

Directed Evolution: Methodologies and Applications

Journal

CHEMICAL REVIEWS
Volume 121, Issue 20, Pages 12384-12444

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/acs.chemrev.1c00260

Keywords

-

Funding

  1. U.S. Department of Energy [DE-SC0018420, DE-SC0018260]
  2. National Science Foundation [2019897]
  3. Division Of Chemistry
  4. Direct For Mathematical & Physical Scien [2019897] Funding Source: National Science Foundation

Ask authors/readers for more resources

Directed evolution aims to accelerate the natural evolution process of biological molecules and systems through gene diversification and library screening, serving as a powerful tool for engineering improved functions in proteins, metabolic pathways, and whole genomes. Common strategies include gene diversification, screening/selection methods, and continuous evolution, with applications in nucleic acids, proteins, pathways, genetic circuits, viruses, and cells. Challenges and future perspectives in directed evolution are also discussed.
Directed evolution aims to expedite the natural evolution process of biological molecules and systems in a test tube through iterative rounds of gene diversifications and library screening/selection. It has become one of the most powerful and widespread tools for engineering improved or novel functions in proteins, metabolic pathways, and even whole genomes. This review describes the commonly used gene diversification strategies, screening/selection methods, and recently developed continuous evolution strategies for directed evolution. Moreover, we highlight some representative applications of directed evolution in engineering nucleic acids, proteins, pathways, genetic circuits, viruses, and whole cells. Finally, we discuss the challenges and future perspectives in directed evolution.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.8
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available