抄録
With the rapid advancement of gene editing technologies, CRISPR/Cas9 has emerged as one of the most promising tools for crop improvement, demonstrating broad application potential in the genetic enhancement of staple crops such as potato. However, its practical applications still face key challenges, including unavoidable off-target effects, the complexity of target site screening, and unstable editing efficiency. The integration of artificial intelligence (AI) provides new approaches and solutions to these issues. This paper systematically reviews the application progress of AI in CRISPR/Cas9 technology, with a focus on its roles and advantages in regulating key genes of potato starch biosynthesis pathways, designing multi-gene targets, and predicting off-target effects. Research indicates that AI-based genomic data mining and feedback-driven editing optimization mechanisms can significantly enhance the accuracy of target site screening and the overall efficiency of gene editing. Finally, this paper discusses the potential of deep integration between AI and gene editing technologies in promoting precision potato breeding and data-driven agricultural improvement strategies, offering new references and insights for the future development of intelligent molecular breeding.
