Triticeae Genomics and Genetics, 2025, Vol.16, No.2, 54-62 http://cropscipublisher.com/index.php/tgg 61 climate is becoming increasingly unstable and the pressure on agriculture is constantly increasing, this kind of genetic resource becomes particularly valuable. More realistically, the pan-genome has significantly shortened the time from gene discovery to field application. In the past, it might take several years to improve a trait, but now the breeding cycle is being continuously compressed. The goal is straightforward: high output, stable quality, and environmental friendliness. However, in the final analysis, this is not something that a certain research group can accomplish behind closed doors. The data needs to be continuously supplemented by someone, the omics information should be in line with the standards, and the analytical tools should not be made too "aloof". Researchers, breeding institutions and policymakers need to reach a consensus in terms of both concepts and actions. The data structure must also keep up with the demands, and the acquisition method should not become "whoever grabs it uses it". Only by achieving these can the role of the pan-genome not remain just on paper-it will truly drive wheat breeding and sustainable agriculture forward. Acknowledgments We are very grateful to Ms. Huang for reviewing the first draft of the paper and providing suggestions for improvement of logical coherence. 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 Badet T., Oggenfuss U., Abraham L., McDonald B., and Croll D., 2019, A 19-isolate reference-quality global pangenome for the fungal wheat pathogen Zymoseptoria tritici, BMC Biology, 18: 12. https://doi.org/10.1186/s12915-020-0744-3 Barabaschi D., Volante A., Faccioli P., Povesi A., Tagliaferri I., Mazzucotelli E., and Cattivelli L., 2025, Ancient diversity of Triticum aestivum subspecies as source of novel loci for bread wheat improvement, Frontiers in Plant Science, 16: 1536991. https://doi.org/10.3389/fpls.2025.1536991 Bayer P., and Edwards D., 2023, Investigating pangenome graphs using wheat panache, Methods in Molecular Biology, 2703: 23-29. https://doi.org/10.1007/978-1-0716-3389-2_2 Bayer P., Petereit J., Danilevicz M., Anderson R., Batley J., and Edwards D., 2021, The application of pangenomics and machine learning in genomic selection in plants, The Plant Genome, 14(3): e20112. https://doi.org/10.1002/tpg2.20112 Bayer P., Petereit J., Durant É., Monat C., Rouard M., Hu H., Chapman B., Li C., Cheng S., Batley J., and Edwards D., 2022, Wheat panache: a pangenome graph database representing presence-absence variation across sixteen bread wheat genomes, The Plant Genome, 15(3): e20221. https://doi.org/10.1002/tpg2.20221 Cavalet-Giorsa E., González-Muñoz A., Athiyannan N., Holden S., Salhi A., Gardener C., Quiroz-Chávez J., Rustamova S., Elkot A., Patpour M., Rasheed A., Mao L., Lagudah E., Periyannan S., Sharon A., Himmelbach A., Reif J., Knauft M., Mascher M., Stein N., Chayut N., Ghosh S., Perović D., Putra A., Perera A., Hu C., Yu G., Ahmed H., Laquai K., Rivera L., Chen R., Wang Y., Gao X., Liu S., Raupp W., Olson E., Lee J., Chhuneja P., Kaur S., Zhang P., Park R., Ding Y., Liu D., Li W., Nasyrova F., Dvořák J., Abbasi M., Li M., Kumar N., Meyer W., Boshoff W., Steffenson B., Matny O., Sharma P., Tiwari V., Grewal S., Pozniak C., Chawla H., Ens J., Dunning L., Kolmer J., Lazo G., Xu S., Gu Y., Xu X., Uauy C., Abrouk M., Bougouffa S., Brar G., Wulff B., and Krattinger S., 2023, Origin and evolution of the bread wheat D genome, Nature, 633: 848-855. https://doi.org/10.1038/s41586-024-07808-z Chen Y., Guo Y., Xie X., Wang Z., Miao L., Yang Z., Jiao Y., Xie C., Liu J., Hu Z., Xin M., Yao Y., Ni Z., Sun Q., Peng H., and Guo W., 2023, Pangenome-based trajectories of intracellular gene transfers in Poaceae unveil high cumulation in Triticeae, Plant Physiology, 193(1): 578-594. https://doi.org/10.1093/plphys/kiad319 Fernandez C., Marsh J., Danilevicz M., Mercé C., and Edwards D., 2021, Application of pangenomics for wheat molecular breeding, CABI Digital Library, 13: 236-246. https://doi.org/10.1079/9781789245431.0013 Hossain A., Skalický M., Brestič M., Maitra S., Alam M., Syed M., Hossain J., Sarkar S., Saha S., Bhadra P., Shankar T., Bhatt R., Chaki A., Sabagh A., and Islam T., 2021, Consequences and mitigation strategies of abiotic stresses in wheat (Triticum aestivum L.) under the changing climate, Agronomy, 11(2): 241. https://doi.org/10.3390/AGRONOMY11020241 Hu H., Li R., Zhao J., Batley J., and Edwards D., 2024, Technological development and advances for constructing and analyzing plant pangenomes, Genome Biology and Evolution, 16(4): evae081. https://doi.org/10.1093/gbe/evae081
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