Feature Review
Decoding the Cucumber Genome: Functional Genomics and Its Applications in Genetic Improvement
Author Correspondence author
International Journal of Horticulture, 2024, Vol. 14, No. 5 doi: 10.5376/ijh.2024.14.0030
Received: 18 Jul., 2024 Accepted: 25 Aug., 2024 Published: 20 Sep., 2024
Xu X.W., Yang X.D., and Chen X.H., 2024, Decoding the cucumber genome: functional genomics and its applications in genetic improvement, International Journal of Horticulture, 14(5): 283-296 (doi: 10.5376/ijh.2024.14.0030)
Cucumber (Cucumis sativus L.), as an important global economic crop, has significant implications for enhancing yield and quality through the decoding of its genome. The development of functional genomics provides powerful tools for cucumber genome research. Utilizing high-throughput sequencing and gene editing technologies, researchers can gain insights into the structure and function of the cucumber genome. This review uses functional genomics to analyze key genes in the cucumber genome, exploring their roles in disease resistance, fruit quality, and stress tolerance. The results showed that through a comprehensive analysis of the cucumber genome, a series of disease resistance-related genes were identified, and the disease resistance of cucumbers was successfully enhanced through gene editing technology. Additionally, by regulating genes related to fruit development, the quality of cucumber fruits was significantly improved, and the yield under stress conditions was increased. These findings highlight the potential of functional genomics in cucumber improvement, providing new ideas and approaches for crop breeding. This review not only supports theoretical research on gene function in cucumbers but also offers valuable references for functional genomics in other crops.
. PDF(651KB)
. FPDF(win)
. FPDF(mac)
. HTML
. Online fPDF
Associated material
. Readers' comments
Other articles by authors
. Xuewen Xu
. Xiaodong Yang
. Xuehao Chen
Related articles
. Cucumber genome
. Functional genomics
. Crop improvement
. High-throughput sequencing
. Disease resistance
Tools
. Email to a friend
. Post a comment