Wenfang wang

Institute of Life Sciences, Jiyang Colloge of Zhejiang A&F University, Zhuji, 311800, Zhejiang, China
Author    Correspondence author
Tree Genetics and Molecular Breeding, 2024, Vol. 14, No. 6   
Received: 03 Oct., 2024    Accepted: 08 Nov., 2024    Published: 15 Nov., 2024

This is an open access article published under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Kiwifruit is a globally significant economic and nutritional crop, but its breeding faces numerous challenges, including the need for improvements in yield, quality, and stress resistance traits. In recent years, the application of CRISPR/Cas9 technology in crop genetic improvement has demonstrated immense potential, providing a novel technical pathway for optimizing kiwifruit traits. This review systematically summarizes the research progress on key traits and their genetic basis in kiwifruit, with a focus on the application of CRISPR/Cas9 technology in kiwifruit breeding, including functional studies of key trait-related genes and case studies on trait improvement through gene editing. The study explores the technical bottlenecks of CRISPR/Cas9 technology in kiwifruit, such as off-target effects, editing efficiency, and genetic stability, and summarizes methods for improving editing efficiency and the prospects of applying novel Cas variants. Additionally, this review integrates the latest achievements in multi-omics studies, elucidating the role of genomics, transcriptomics, and epigenomics data in precision gene editing and proposing strategies for integrating gene editing with traditional breeding approaches. This review provides a comprehensive theoretical foundation for the research and application of CRISPR/Cas9 technology in kiwifruit, offering practical guidance for developing high-quality kiwifruit varieties with enhanced market competitiveness.

Kiwifruit; CRISPR/Cas9; Gene editing; Trait improvement; Multi-omics integration; Breeding strategy