An improved plant prime editor for efficient generation of multiple-nucleotide variations and structural variations in rice

Abstract

The ability to manipulate single-nucleotide variations (SNVs), multiple-nucleotide variations (MNVs), and structural variations (SVs) in rice genomes is crucial for studying gene function and improving agricultural traits. Traditionally, these manipulations were achieved mainly through homology-directed repair, which has limited efficiency in plants. With the advent of CRISPR–Cas systems, particularly SpCas9, researchers found a simpler way to create mutants via DNA double-strand breaks and non-homologous end joining (Jinek et al., 2012).