Tuning mitotic recombination with patterned DNA nicks for precision mosaic analysis

Y Yifan Shen (Department of Electrical Engineering and Computer Science, University of Michigan) A Ann T. Yeung (Department of Molecular Biology and Genetics, Cornell University) B Bei Wang (State Key Laboratory of Discovery and Utilization of Functional Components in Traditional Chinese Medicine, Shanghai Frontiers Science Center of TCM Chemical Biology, Institute of Interdisciplinary Integrative Medicine Research and Shuguang Hospital) C Chun-Ting Yeh (Department of Molecular Biology and Genetics, Cornell University) P Payton Ditchfield (Department of Molecular Biology and Genetics, Cornell University) E Elizabeth Korn (Department of Molecular Biology and Genetics, Cornell University) C Chun Han (Weill Institute for Cell and Molecular Biology, Department of Molecular Biology and Genetics, Cornell University)

Abstract

CRISPR/Cas9-based mosaic analysis is a powerful tool for in vivo genetics but is limited by cytotoxicity and mutagenesis associated with DNA double-strand breaks. Here, we establish Cas9-derived nickases as safer and more reliable alternatives for inducing mitotic recombination in Drosophila . We demonstrate that single-strand nicks are sufficient to generate mosaic clones and systematically dissect the parameters governing this process. We find that clone frequency can be controlled by the gRNA nicking pattern, with two distant nicks on the same DNA strand synergistically enhancing recombination by over ninefold compared to a single nick. Based on these findings, we propose a mechanistic model for nick-induced crossover and provide a versatile toolkit for generating tissue-specific nickases. This work establishes nickase-based mosaic analysis by gRNA-induced crossing-over as a superior method for high-fidelity clonal analysis, enabling more precise investigation of gene function in development and disease.

Article Details

Volume / Issue Vol. 123, Issue 22
Published June 02, 2026
ISSN 0027-8424
Publisher National Academy of Sciences

Authors (7)

Y

Yifan Shen

Department of Electrical Engineering and Computer Science, University of Michigan

A

Ann T. Yeung

Department of Molecular Biology and Genetics, Cornell University

B

Bei Wang

State Key Laboratory of Discovery and Utilization of Functional Components in Traditional Chinese Medicine, Shanghai Frontiers Science Center of TCM Chemical Biology, Institute of Interdisciplinary Integrative Medicine Research and Shuguang Hospital

C

Chun-Ting Yeh

Department of Molecular Biology and Genetics, Cornell University

P

Payton Ditchfield

Department of Molecular Biology and Genetics, Cornell University

E

Elizabeth Korn

Department of Molecular Biology and Genetics, Cornell University

C

Chun Han

Weill Institute for Cell and Molecular Biology, Department of Molecular Biology and Genetics, Cornell University