Genomics and Applied Biology 2024, Vol.15, No.5, 223-234 http://bioscipublisher.com/index.php/gab 232 allow for the creation of cultivars with optimized traits tailored to industrial, medicinal, and agricultural needs. By addressing these research areas, the scientific community can drive significant advancements in Cannabis genomics, opening new avenues for innovation and applications across diverse fields. Acknowledgments We sincerely thank Professor Qi Xingjiang of Zhejiang Academy of Agricultural Sciences for his help and support in this project, we would also like to extend my sincere thanks to two anonymous peer reviewers for their thorough assessment and constructive comments, which have all contributed significantly to the improvement of this manuscript. Funding This paper was funded by the project "Construction of precision Breeding Facilities for Industrial Hemp" (10402110120AP2201F) funded by the special financial fund of Zhejiang Academy of Agricultural Sciences. Conflict of Interest Disclosure The authors affirm that this research was conducted without any commercial or financial relationships that could be construed as a potential conflict of interest. References Adams T., Masondo N., Malatsi P., and Makunga N., 2021, Cannabis sativa: from therapeutic uses to micropropagation and beyond, Plants, 10(10): 2078. https://doi.org/10.3390/plants10102078 Ahmar S., Saeed S., Khan M., Khan S., Mora-Poblete F., Kamran M., Faheem A., Maqsood A., Rauf M., Saleem S., Hong W., and Jung K., 2020, A revolution toward gene-editing technology and its application to crop improvement, International Journal of Molecular Sciences, 21(16): 5665. https://doi.org/10.3390/ijms21165665 Arora L., and Narula A., 2017, Gene editing and crop improvement using CRISPR-Cas9 system, Frontiers in Plant Science, 8: 1932. https://doi.org/10.3389/fpls.2017.01932 Bakel H., Stout J., Coté A., Tallon C., Sharpe A., Hughes T., and Page J., 2011, The draft genome and transcriptome of Cannabis sativa, Genome Biology, 12: R102-R102. https://doi.org/10.1186/gb-2011-12-10-r102 Basavarajappa B., and Subbanna S., 2022, Molecular insights into epigenetics and cannabinoid receptors, Biomolecules, 12(11): 1560. https://doi.org/10.3390/biom12111560 Bortesi L., and Fischer R., 2015, The CRISPR/Cas9 system for plant genome editing and beyond, Biotechnology Advances, 33(1): 41-52. https://doi.org/10.1016/j.biotechadv.2014.12.006 Bunsick D., Matsukubo J., and Szewczuk M., 2023, Cannabinoids Transmogrify cancer metabolic phenotype via epigenetic reprogramming and a novel CBD biased G protein-coupled receptor signaling platform, Cancers, 15(4): 1030. https://doi.org/10.3390/cancers15041030 Cascini F., Farcomeni A., Migliorini D., Baldassarri L., Boschi I., Martello S., Amaducci S., Lucini L., and Bernardi J., 2019, Highly predictive genetic markers distinguish drug-type from fiber-type Cannabis sativa L, Plants, 8(11): 496. https://doi.org/10.3390/plants8110496 Chen K., Wang Y., Zhang R., Zhang H., and Gao C., 2019, CRISPR/Cas genome editing and precision plant breeding in agriculture, Annual Review of Plant Biology, 70: 667-697. https://doi.org/10.1146/annurev-arplant-050718-100049 Clark S., Lee H., Smallwood S., Kelsey G., and Reik W., 2016, Single-cell epigenomics: powerful new methods for understanding gene regulation and cell identity, Genome Biology, 17: 1-10. https://doi.org/10.1186/s13059-016-0944-x Fulvio F., Paris R., Montanari M., Citti C., Cilento V., Bassolino L., Moschella A., Alberti I., Pecchioni N., Cannazza G., and Mandolino G., 2021, Analysis of sequence variability and transcriptional profile of Cannabinoid synthase genes in Cannabis sativa L. chemotypes with a focus on Cannabichromenic acid synthase, Plants, 10(9): 1857. https://doi.org/10.3390/plants10091857 Gao S., Wang B., Xie S., Xu X., Zhang J., Pei L., Yu Y., Yang W., and Zhang Y., 2020, A high-quality reference genome of wild Cannabis sativa, Horticulture Research, 7: 73. https://doi.org/10.1038/s41438-020-0295-3 Gizer I., Bizon C., Gilder D., Ehlers C., and Wilhelmsen K., 2018, Whole genome sequence study of cannabis dependence in two independent cohorts, Addiction Biology, 23: 461-473. https://doi.org/10.1111/adb.12489
RkJQdWJsaXNoZXIy MjQ4ODYzMg==