Journal of Tea Science Research, 2024, Vol.14, No.5, 293-303 http://hortherbpublisher.com/index.php/jtsr 302 Future research should focus on high-resolution mapping of SVs using advanced sequencing and pangenome approaches, coupled with functional genomics and gene editing to validate the roles of specific SVs in trait determination. Integrating transcriptomic and metabolomic data will further clarify the molecular mechanisms underlying SV-driven trait diversity. Incorporating SV information into breeding programs through marker development and genomic selection will accelerate the improvement of tea cultivars for quality, stress tolerance, and adaptation. The development of comprehensive SV-based resources will support precision breeding and the conservation of tea genetic diversity. Acknowledgments The authors sincerely thank Mr. Li for reviewing the manuscript and providing valuable suggestions, which contributed to its improvement. Additionally, heartfelt gratitude is extended to the two anonymous peer reviewers for their comprehensive evaluation of the manuscript. 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. Reference An Y., Mi X., Zhao S., Guo R., Xia X., Liu S., and Wei C., 2020, Revealing distinctions in genetic diversity and adaptive evolution between two varieties of Camellia sinensis by whole-genome resequencing, Frontiers in Plant Science, 11: 603819. https://doi.org/10.3389/fpls.2020.603819 Duan S., Yan L., Shen Z., Li X., Chen B., Li D., Qin H., Meegahakumbura M., Wambulwa M., Gao L., Chen W., Dong Y., and Sheng J., 2024, Genomic analyses of agronomic traits in tea plants and related Camellia species, Frontiers in Plant Science, 15: 1449006. https://doi.org/10.3389/fpls.2024.1449006 Hazra A., Kumar R., Sengupta C., and Das S., 2021, Genome-wide SNP discovery from Darjeeling tea cultivars—their functional impacts and application toward population structure and trait associations, Genomics, 113(1): 66-78. https://doi.org/10.1016/j.ygeno.2020.11.028 Huang F., Duan J., Lei Y., Kang Y., Luo Y., Chen Y., Ding D., and Li S., 2022, Metabolomic and transcriptomic analyses reveal a MYB gene, CsAN1, involved in anthocyanins accumulation separation in F1 between ‘Zijuan’ (Camellia sinensis var. assamica) and ‘Fudingdabaicha’ (C. sinensis var. sinensis) tea plants, Frontiers in Plant Science, 13: 1008588. https://doi.org/10.3389/fpls.2022.1008588 Kong W., Jiang M., Wang Y., Chen S., Zhang S., Lei W., Chai K., Wang P., Liu R., and Zhang X., 2022, Pan-transcriptome assembly combined with multiple association analysis provides new insights into the regulatory network of specialized metabolites in the tea plant Camellia sinensis, Horticulture Research, 9: uhac100. https://doi.org/10.1093/hr/uhac100 Koech R.K., Malebe P.M., Nyarukowa C., Mose R., Kamunya S.M., Loots T., and Apostolides Z., 2020, Genome-enabled prediction models for black tea (Camellia sinensis) quality and drought tolerance traits, Plant Breeding, 139(5): 1003-1015. https://doi.org/10.1101/850792 Lu L., Chen H., Wang X., Zhao Y., Yao X., Xiong B., Deng Y., and Zhao D., 2021, Genome-level diversification of eight ancient tea populations in the Guizhou and Yunnan regions identifies candidate genes for core agronomic traits, Horticulture Research, 8: 00617. https://doi.org/10.1038/s41438-021-00617-9 Mei X., Wan S., Lin C., Zhou C., Hu L., Deng C., and Zhang L., 2021, Integration of metabolome and transcriptome reveals the relationship of benzenoid-phenylpropanoid pigment and aroma in purple tea flowers, Frontiers in Plant Science, 12: 762330. https://doi.org/10.3389/fpls.2021.762330 Niu S., Koiwa H., Song Q., Qiao D., Chen J., Zhao D., Chen Z., Wang Y., and Zhang T., 2020, Development of core-collections for Guizhou tea genetic resources and GWAS of leaf size using SNP developed by genotyping-by-sequencing, PeerJ, 8: e8572. https://doi.org/10.7717/peerj.8572 Niu S., Song Q., Koiwa H., Qiao D., Zhao D., Chen Z., Liu X., and Wen X., 2019, Genetic diversity, linkage disequilibrium, and population structure analysis of the tea plant (Camellia sinensis) from an origin center, Guizhou plateau, using genome-wide SNPs developed by genotyping-by-sequencing, BMC Plant Biology, 19: 1-12. https://doi.org/10.1186/s12870-019-1917-5 Qiao G., Xu P., Guo T., He X., Yue Y., and Yang B., 2024, Genome-wide detection of structural variation in some sheep breeds using whole-genome long-read sequencing data, Journal of Animal Breeding and Genetics, 141(4): 403-414. https://doi.org/10.1111/jbg.12846
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