Features affecting Cas9-Induced Editing Efficiency and Patterns in Tomato: Evidence from a Large CRISPR Dataset
Authors: Cucuy, A., Ben-Tov, D., Melamed-Bessudo, C., Honig, A., Cohen, B. A., Levy, A. A.
Category: Plant Biology
Model Organism: Solanum lycopersicum
▶ AI Summary
The study generated a dataset of 420 sgRNAs targeting promoters, exons, and introns of 137 tomato genes in protoplasts, linking editing efficiency to chromatin accessibility, genomic context, and sequence features. Open chromatin sites showed higher editing rates, while transcriptional activity had little effect, and a subset of guides produced near‑complete editing with microhomology‑mediated deletions. Human‑trained prediction models performed poorly, highlighting the need for plant‑specific guide design tools.