Genomics and Applied Biology 2024, Vol.15, No.3, 142-152 http://bioscipublisher.com/index.php/gab 150 Collaborative Research and Data Sharing: Collaborative efforts among researchers, breeders, and industry stakeholders will be vital for the successful application of functional genomics in E. ulmoides breeding. Establishing databases and platforms for data sharing and collaboration can facilitate the exchange of knowledge and resources. Acknowledgments We are grateful to the reviewers for their valuable comments and suggestions on the manuscript of this study. These constructive feedbacks were crucial in refining the thesis and improving the quality of the research. Funding This research was funded by a grant from the National Natural Science Foundation of China [31870285, 30660146], National High Tech nology Research and Development Program of China (“863” Program) [grant number 2013AA102605-05], National Major Project of Cultivating New Varieties of Genetically Modified Organisms [grant no. 2016ZX08010003- 009], Guizhou Province High-Level Innovative Talent Training Program Project ([2016]4003), Guizhou Academy of Agricultural Sciences Talent Special Project (No. 2023-02 and No. 2024-02). 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 Ahmad S., Wei X., Sheng Z., Hu P., and Tang S., 2020, CRISPR/Cas9 for development of disease resistance in plants: recent progress, limitations and future prospects, Briefings in functional genomics. 19(1): 26-39. https://doi.org/10.1093/bfgp/elz041 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 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 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 Crossa J., Pérez-Rodriguez P., Cuevas J., Montesinos-López O., Jarquin D., Campos G., Burgueño J., González-Camacho J., Pérez-Elizalde S., Beyene Y., Dreisigacker S., Singh R., Zhang X., Gowda M., Roorkiwal M., Rutkoski J., and Varshney R., 2017, Genomic selection in plant breeding: methods, models, and perspectives, Trends in Plant Science, 22(11): 961-975. https://doi.org/10.1016/j.tplants.2017.08.011 Dawei W., Yu L., Wei Z., and Zhouqi L., 2010, Establishment and optimization of AFLP reaction system in Eucommia ulmoides Oliv, Journal of Northwest AandF University, 38(6): 88-94. Du Q., Wu Z., Liu P., Qing J., He F., Du L., Sun Z., Zhu L., Zheng H., Sun Z., Yang L., Wang L., and Du H., 2023, The chromosome-level genome of Eucommia ulmoides provides insights into sex differentiation and α-linolenic acid biosynthesis, Frontiers in Plant Science, 14: 1118363. https://doi.org/10.3389/fpls.2023.1118363 Ge H., Walhout A., and Vidal M., 2003, Integrating 'omic' information: a bridge between genomics and systems biology, Trends in Genetics : TIG, 19(10): 551-560. https://doi.org/10.1016/j.tig.2003.08.009 Goddard M., and Hayes B., 2007, Genomic selection, Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie, 124(6): 323-330. https://doi.org/10.1111/j.1439-0388.2007.00702.x Heslot N., Jannink J., and Sorrells M., 2015, Perspectives for genomic selection applications and research in plants, Crop Science, 55(1): 1-12. https://doi.org/10.2135/cropsci2014.03.0249 Hu X., Li Y., Xia Y., and Ma Y., 2023, The MYB transcription factor family in Eucommia ulmoides: genome-wide identification, characterization, and network analysis in relation to the rubber biosynthetic genes, Forests. 14(10): 2064. https://doi.org/10.3390/f14102064 Jin C., Li Z., Li Y., Wang S., Li L., and Liu M., 2020, Update of genetic linkage map and QTL analysis for growth traits in Eucommia ulmoides Oliver, Forests, 11(3): 311-311. https://doi.org/10.3390/f11030311
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