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Structural basis for mismatch surveillance by CRISPR–Cas9

Author

Listed:
  • Jack P. K. Bravo

    (University of Texas at Austin)

  • Mu-Sen Liu

    (University of Texas at Austin)

  • Grace N. Hibshman

    (University of Texas at Austin
    University of Texas at Austin)

  • Tyler L. Dangerfield

    (University of Texas at Austin
    University of Texas at Austin)

  • Kyungseok Jung

    (University of Texas at Austin)

  • Ryan S. McCool

    (University of Texas at Austin
    University of Texas at Austin)

  • Kenneth A. Johnson

    (University of Texas at Austin
    University of Texas at Austin)

  • David W. Taylor

    (University of Texas at Austin
    University of Texas at Austin
    University of Texas at Austin
    Dell Medical School, University of Texas at Austin)

Abstract

CRISPR–Cas9 as a programmable genome editing tool is hindered by off-target DNA cleavage1–4, and the underlying mechanisms by which Cas9 recognizes mismatches are poorly understood5–7. Although Cas9 variants with greater discrimination against mismatches have been designed8–10, these suffer from substantially reduced rates of on-target DNA cleavage5,11. Here we used kinetics-guided cryo-electron microscopy to determine the structure of Cas9 at different stages of mismatch cleavage. We observed a distinct, linear conformation of the guide RNA–DNA duplex formed in the presence of mismatches, which prevents Cas9 activation. Although the canonical kinked guide RNA–DNA duplex conformation facilitates DNA cleavage, we observe that substrates that contain mismatches distal to the protospacer adjacent motif are stabilized by reorganization of a loop in the RuvC domain. Mutagenesis of mismatch-stabilizing residues reduces off-target DNA cleavage but maintains rapid on-target DNA cleavage. By targeting regions that are exclusively involved in mismatch tolerance, we provide a proof of concept for the design of next-generation high-fidelity Cas9 variants.

Suggested Citation

  • Jack P. K. Bravo & Mu-Sen Liu & Grace N. Hibshman & Tyler L. Dangerfield & Kyungseok Jung & Ryan S. McCool & Kenneth A. Johnson & David W. Taylor, 2022. "Structural basis for mismatch surveillance by CRISPR–Cas9," Nature, Nature, vol. 603(7900), pages 343-347, March.
  • Handle: RePEc:nat:nature:v:603:y:2022:i:7900:d:10.1038_s41586-022-04470-1
    DOI: 10.1038/s41586-022-04470-1
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    Cited by:

    1. Zeyu Lu & Lingtian Zhang & Qing Mu & Junyang Liu & Yu Chen & Haoyuan Wang & Yanjun Zhang & Rui Su & Ruijun Wang & Zhiying Wang & Qi Lv & Zhihong Liu & Jiasen Liu & Yunhua Li & Yanhong Zhao, 2024. "Progress in Research and Prospects for Application of Precision Gene-Editing Technology Based on CRISPR–Cas9 in the Genetic Improvement of Sheep and Goats," Agriculture, MDPI, vol. 14(3), pages 1-17, March.
    2. Evan A. Schwartz & Tess M. McBride & Jack P. K. Bravo & Daniel Wrapp & Peter C. Fineran & Robert D. Fagerlund & David W. Taylor, 2022. "Structural rearrangements allow nucleic acid discrimination by type I-D Cascade," Nature Communications, Nature, vol. 13(1), pages 1-11, December.

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