IDEAS home Printed from https://ideas.repec.org/a/nat/nature/v560y2018i7717d10.1038_s41586-018-0384-8.html
   My bibliography  Save this article

CRISPR-guided DNA polymerases enable diversification of all nucleotides in a tunable window

Author

Listed:
  • Shakked O. Halperin

    (University of California, Berkeley
    University of California, Berkeley–University of California, San Francisco Graduate Program in Bioengineering, University of California, Berkeley
    University of California Berkeley and San Francisco)

  • Connor J. Tou

    (University of California, Berkeley)

  • Eric B. Wong

    (University of California, Berkeley)

  • Cyrus Modavi

    (University of California, Berkeley
    University of California, Berkeley–University of California, San Francisco Graduate Program in Bioengineering, University of California, Berkeley)

  • David V. Schaffer

    (University of California, Berkeley
    University of California Berkeley and San Francisco
    University of California Berkeley
    University of California, Berkeley)

  • John E. Dueber

    (University of California, Berkeley
    University of California Berkeley and San Francisco
    Lawrence Berkeley National Laboratory)

Abstract

The capacity to diversify genetic codes advances our ability to understand and engineer biological systems1,2. A method for continuously diversifying user-defined regions of a genome would enable forward genetic approaches in systems that are not amenable to efficient homology-directed oligonucleotide integration. It would also facilitate the rapid evolution of biotechnologically useful phenotypes through accelerated and parallelized rounds of mutagenesis and selection, as well as cell-lineage tracking through barcode mutagenesis. Here we present EvolvR, a system that can continuously diversify all nucleotides within a tunable window length at user-defined loci. This is achieved by directly generating mutations using engineered DNA polymerases targeted to loci via CRISPR-guided nickases. We identified nickase and polymerase variants that offer a range of targeted mutation rates that are up to 7,770,000-fold greater than rates seen in wild-type cells, and editing windows with lengths of up to 350 nucleotides. We used EvolvR to identify novel ribosomal mutations that confer resistance to the antibiotic spectinomycin. Our results demonstrate that CRISPR-guided DNA polymerases enable multiplexed and continuous diversification of user-defined genomic loci, which will be useful for a broad range of basic and biotechnological applications.

Suggested Citation

  • Shakked O. Halperin & Connor J. Tou & Eric B. Wong & Cyrus Modavi & David V. Schaffer & John E. Dueber, 2018. "CRISPR-guided DNA polymerases enable diversification of all nucleotides in a tunable window," Nature, Nature, vol. 560(7717), pages 248-252, August.
  • Handle: RePEc:nat:nature:v:560:y:2018:i:7717:d:10.1038_s41586-018-0384-8
    DOI: 10.1038/s41586-018-0384-8
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41586-018-0384-8
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1038/s41586-018-0384-8?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Andras Gyorgy, 2023. "Competition and evolutionary selection among core regulatory motifs in gene expression control," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    2. Peter N. Ciaccia & Zhuobin Liang & Anabel Y. Schweitzer & Eli Metzner & Farren J. Isaacs, 2024. "Enhanced eMAGE applied to identify genetic factors of nuclear hormone receptor dysfunction via combinatorial gene editing," Nature Communications, Nature, vol. 15(1), pages 1-11, 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. 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.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:nature:v:560:y:2018:i:7717:d:10.1038_s41586-018-0384-8. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.