Cotton Genomics and Genetics 2025, Vol.16, No.5, 232-240 http://cropscipublisher.com/index.php/cgg 239 "illusion" brought about by data analysis. Moreover, are circrnas also involved in other physiological processes? How conservative is it among different cotton varieties? Could it serve as a genuine breeding target in the future? All of these still need to be further explored. What should be done next? Instead of merely verifying a single circRNA, we need to broaden our perspective a bit. Only by integrating data from different levels such as the transcriptome, proteome, and epigenome can a more complete regulatory network diagram be constructed. Some new models in the field of artificial intelligence, such as Transformer and graph neural networks, may help us make faster progress in predicting novel circRNA-miRNA pairings. In addition, genome editing tools like CRISPR and synthetic biology technologies may also become powerful tools for manipulating the expression of circrnas in the future. It is used for verification and also for improving varieties. If combined with the expansion of the plant circRNA database and the establishment of a unified experimental procedure, the development pace in this field is expected to accelerate further. Acknowledgments The author thanks the anonymous peer review for their critical comments and revising suggestion. Conflict of Interest Disclosure The author affirms that this research was conducted without any commercial or financial relationships that could be construed as a potential conflict of interest. References Bai N., Peng E., Qiu X., Lyu N., Zhang Z., Tao Y., Li X., and Wang Z., 2018, circFBLIM1 act as a ceRNA to promote hepatocellular cancer progression by sponging miR-346, Journal of Experimental & Clinical Cancer Research, 37(1): 172. https://doi.org/10.1186/s13046-018-0838-8 Chen G., Cui J., Wang L., Zhu Y., Lu Z., and Jin B., 2017, Genome-wide identification of circular RNAs in Arabidopsis thaliana, Frontiers in Plant Science, 8: 1678. https://doi.org/10.3389/fpls.2017.01678 Chen X., Yang T., Wang W., Xi W., Zhang T., Li Q., Yang A., and Wang T., 2019, Circular RNAs in immune responses and immune diseases, Theranostics, 9(2): 588-607. https://doi.org/10.7150/thno.29678 Dong J., Zeng Z., Huang Y., Chen C., Cheng Z., and Zhu Q., 2023, Challenges and opportunities for circRNA identification and delivery, Critical Reviews in Biochemistry and Molecular Biology, 58(1): 19-35. https://doi.org/10.1080/10409238.2023.2185764 Gao Y., and Zhao F., 2018, Computational strategies for exploring circular RNAs, Trends in Genetics, 34(5): 389-400. https://doi.org/10.1016/j.tig.2017.12.016 Han T., Hur K., Cho H., and Ban H., 2020, Epigenetic associations between lncRNA/circRNA and miRNA in hepatocellular carcinoma, Cancers, 12(9): 2622. https://doi.org/10.3390/cancers12092622 Hansen T., 2018, Improved circRNA identification by combining prediction algorithms, Frontiers in Cell and Developmental Biology, 6: 20. https://doi.org/10.3389/fcell.2018.00020 Huang A., Zheng H., Wu Z., Chen M., and Huang Y., 2020, Circular RNA-protein interactions: functions, mechanisms, and identification, Theranostics, 10(8): 3503-3517. https://doi.org/10.7150/thno.42174 Kwak P., Wang Q., Chen X., Qiu C., and Yang Z., 2009, Enrichment of a set of microRNAs during the cotton fiber development, BMC Genomics, 10(1): 457. https://doi.org/10.1186/1471-2164-10-457 Li B., Feng C., Zhang W., Sun S., Yue D., Zhang X., and Yang X., 2023, Comprehensive non-coding RNA analysis reveals specific lncRNA/circRNA-miRNA-mRNA regulatory networks in the cotton response to drought stress, International Journal of Biological Macromolecules, 253: 126558. https://doi.org/10.1016/j.ijbiomac.2023.126558 Li S., Wang J., and Ren G., 2024, CircRNA: an emerging star in plant research: a review, International Journal of Biological Macromolecules, 272: 132800. https://doi.org/10.1016/j.ijbiomac.2024.132800 Liu N., Tu L., Tang W., Gao W., Lindsey K., and Zhang X., 2014, Small RNA and degradome profiling reveals a role for miRNAs and their targets in the developing fibers of Gossypium barbadense, The Plant Journal, 80(2): 331-344. https://doi.org/10.1111/tpj.12636 Ma B., Wang S., Wu W., Shan P., Chen Y., Meng J., Xing L., Yun J., Hao L., Wang X., Li S., and Guo Y., 2023, Mechanisms of circRNA/lncRNA-miRNA interactions and applications in disease and drug research, Biomedicine & Pharmacotherapy, 162: 114672. https://doi.org/10.1016/j.biopha.2023.114672
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