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A system for the continuous directed evolution of biomolecules

Author

Listed:
  • Kevin M. Esvelt

    (Harvard University)

  • Jacob C. Carlson

    (Harvard University)

  • David R. Liu

    (Harvard University
    Howard Hughes Medical Institute)

Abstract

Speedy route to new biomolecules Many biomolecules with useful properties have been generated by laboratory molecular evolution experiments, but the processes typically take days and require frequent human intervention. Esvelt et al. now describe a phage-assisted continuous evolution system that enables the continuous, directed evolution of gene-encoded molecules that can be linked to protein production in Escherichia coli. Dozens of rounds of evolution can occur in a single day using this method, as demonstrated by the evolution of novel types of T7 RNA polymerase.

Suggested Citation

  • Kevin M. Esvelt & Jacob C. Carlson & David R. Liu, 2011. "A system for the continuous directed evolution of biomolecules," Nature, Nature, vol. 472(7344), pages 499-503, April.
  • Handle: RePEc:nat:nature:v:472:y:2011:i:7344:d:10.1038_nature09929
    DOI: 10.1038/nature09929
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    Cited by:

    1. Lara Sellés Vidal & James W. Murray & John T. Heap, 2021. "Versatile selective evolutionary pressure using synthetic defect in universal metabolism," Nature Communications, Nature, vol. 12(1), pages 1-15, December.
    2. Shuke Wu & Chao Xiang & Yi Zhou & Mohammad Saiful Hasan Khan & Weidong Liu & Christian G. Feiler & Ren Wei & Gert Weber & Matthias Höhne & Uwe T. Bornscheuer, 2022. "A growth selection system for the directed evolution of amine-forming or converting enzymes," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    3. Anna Zimmermann & Julian E. Prieto-Vivas & Charlotte Cautereels & Anton Gorkovskiy & Jan Steensels & Yves Peer & Kevin J. Verstrepen, 2023. "A Cas3-base editing tool for targetable in vivo mutagenesis," Nature Communications, Nature, vol. 14(1), pages 1-16, December.
    4. Fabian Kunisch & Claudia Campobasso & Jeroen Wagemans & Selma Yildirim & Benjamin K. Chan & Christoph Schaudinn & Rob Lavigne & Paul E. Turner & Michael J. Raschke & Andrej Trampuz & Mercedes Gonzalez, 2024. "Targeting Pseudomonas aeruginosa biofilm with an evolutionary trained bacteriophage cocktail exploiting phage resistance trade-offs," Nature Communications, Nature, vol. 15(1), pages 1-18, December.
    5. Yanik Weber & Desirée Böck & Anastasia Ivașcu & Nicolas Mathis & Tanja Rothgangl & Eleonora I. Ioannidi & Alex C. Blaudt & Lisa Tidecks & Máté Vadovics & Hiromi Muramatsu & Andreas Reichmuth & Kim F. , 2024. "Enhancing prime editor activity by directed protein evolution in yeast," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    6. Emily Zhang & Monica E. Neugebauer & Nicholas A. Krasnow & David R. Liu, 2024. "Phage-assisted evolution of highly active cytosine base editors with enhanced selectivity and minimal sequence context preference," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
    7. Enrico Orsi & Lennart Schada von Borzyskowski & Stephan Noack & Pablo I. Nikel & Steffen N. Lindner, 2024. "Automated in vivo enzyme engineering accelerates biocatalyst optimization," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
    8. Simeon D. Castle & Michiel Stock & Thomas E. Gorochowski, 2024. "Engineering is evolution: a perspective on design processes to engineer biology," Nature Communications, Nature, vol. 15(1), pages 1-10, December.
    9. Jeonghye Yu & Jongpil Shin & Jihwan Yu & Jihye Kim & Daseuli Yu & Won Do Heo, 2024. "Programmable RNA base editing with photoactivatable CRISPR-Cas13," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
    10. Mary S. Morrison & Tina Wang & Aditya Raguram & Colin Hemez & David R. Liu, 2021. "Disulfide-compatible phage-assisted continuous evolution in the periplasmic space," Nature Communications, Nature, vol. 12(1), pages 1-14, December.
    11. Stefan A Hoffmann & Christian Wohltat & Kristian M Müller & Katja M Arndt, 2017. "A user-friendly, low-cost turbidostat with versatile growth rate estimation based on an extended Kalman filter," PLOS ONE, Public Library of Science, vol. 12(7), pages 1-15, July.

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