BE_2025v15n5

Bioscience Evidence 2025, Vol.15, No.5, 237-248 http://bioscipublisher.com/index.php/be 247 Mo W., Wang P., Shi Q., Zhao X., Zheng X., Ji L., Zhang L., Geng M., Wang Y., Wang R., Bian M., Meng X., Zuo Z., and Yang Z., 2024, Uncovering key genes associated with protein and oil in soybeans based on transcriptomics and proteomics, Industrial Crops and Products, 222(5): 119981. https://doi.org/10.1016/j.indcrop.2024.119981 Monfort M., Buitink J., Roeber F., and NoguéF., 2025, Genome editing, an opportunity to revive soybean cultivation in Europe, The Plant Journal, 121(4): e17266. https://doi.org/10.1111/tpj.17266 Park H., Seo J., Kang B., Kim J., Heo S., Choi M., Ko J., and Kim C., 2023, QTLs and candidate genes for seed protein content in two recombinant inbred line populations of soybean, Plants, 12(20): 3589. https://doi.org/10.3390/plants12203589 Patel J., Patel S., Cook L., Fallen B., and Koebernick J., 2025, Soybean genome-wide association study of seed weight, protein, and oil content in the southeastern USA, Molecular Genetics and Genomics, 300: 43. https://doi.org/10.1007/s00438-025-02228-8 Patil G., Vuong T., Kale S., Valliyodan B., Deshmukh R., Zhu C., Wu X., Bai Y., Yungbluth D., Lu F., Kumpatla S., Shannon J., Varshney R., and Nguyen H., 2018, Dissecting genomic hotspots underlying seed protein, oil, and sucrose content in an interspecific mapping population of soybean using high‐density linkage mapping, Plant Biotechnology Journal, 16: 1939-1953. https://doi.org/10.1111/pbi.12929 Potapova N., Zorkoltseva I., Zlobin A., Shcherban A., Fedyaeva A., Salina E., Svishcheva G., Aksenovich T., and Tsepilov Y., 2025, Genome-wide association study on imputed genotypes of 180 Eurasian soybean Glycine max varieties for oil and protein contents in seeds, Plants, 14(2): 255. https://doi.org/10.3390/plants14020255 Rahman S., McCoy E., Raza G., Ali Z., Mansoor S., and Amin I., 2022, Improvement of soybean; a way forward transition from genetic engineering to new plant breeding technologies, Molecular Biotechnology, 65: 162-180. https://doi.org/10.1007/s12033-022-00456-6 Shen B., Schmidt M., Collet K., Liu Z., Coy M., Abbitt S., Molloy L., Frank M., Everard J., Booth R., Samadar P., He Y., Kinney A., and Herman E., 2022, RNAi and CRISPR-Cas silencing E3-ring ubiquitin ligase AIP2 enhances soybean seed protein content, Journal of Experimental Botany, 73(22): 7285-7297. https://doi.org/10.1093/jxb/erac376 Silva L., Da Matta L., Pereira G., Bueno R., Piovesan N., Cardinal A., God P., Ribeiro C., and Dal-Bianco M., 2021, Association studies and QTL mapping for soybean oil content and composition, Euphytica, 217: 24. https://doi.org/10.1007/s10681-020-02755-y Song H., Taylor D., and Zhang M., 2023, Bioengineering of soybean oil and its impact on agronomic traits, International Journal of Molecular Sciences, 24(3): 2256. https://doi.org/10.3390/ijms24032256 Tian H., Yin Y., Li X., Zhang Z., Feng S., Jin S., Han X., Yang M., Xu C., Hu L., Liu C., Kong F., Chen Q., and Qi Z., 2025, Identification of HSSP1 as a regulator of soybean protein content through QTL analysis and Soy-SPCC network, Plant Biotechnology Journal, 23(7): 2673-2688. https://doi.org/10.1111/pbi.70092 Tian Z., Nepomuceno A., Song Q., Stupar R., Liu B., Kong F., Ma J., Lee S., and Jackson S., 2025, Soybean2035: a decadal vision for soybean functional genomics and breeding, Molecular Plant, 18(2): 245-271. https://doi.org/10.1016/j.molp.2025.01.004 Van K., and McHale L., 2017, Meta-analyses of QTLs associated with protein and oil contents and compositions in soybean [Glycine max (L.) Merr.] seed, International Journal of Molecular Sciences, 18(6): 1180. https://doi.org/10.3390/ijms18061180 Vargas-Almendra A., Ruiz-Medrano R., Núñez-Muñoz L., Ramírez-Pool J., Calderón-Pérez B., and Xoconostle‐Cazares B., 2024, Advances in soybean genetic improvement, Plants, 13(21): 3073. https://doi.org/10.3390/plants13213073 Wang J., Mao L., Zeng Z., Yu X., Lian J., Feng J., Yang W., An J., Wu H., Zhang M., and Liu L., 2021, Genetic mapping high protein content QTL from soybean ‘Nanxiadou 25’ and candidate gene analysis, BMC Plant Biology, 21: 388. https://doi.org/10.1186/s12870-021-03176-2 Wang J., Zhang L., Wang S., Wang X., Li S., Gong P., Bai M., Paul A., Tvedt N., Ren H., Yang M., Zhang Z., Zhou S., Sun J., Wu X., Kuang H., Du Z., Dong Y., Shi X., Li M., Shukla D., Yan,L., and Guan Y., 2025, Alphafold-guided bespoke gene editing enhances field-grown soybean oil contents, Advanced Science, e2500290. https://doi.org/10.1002/advs.202500290 Wang S., Liu S., Wang J., Yokosho K., Zhou B., Yu Y., Liu Z., Frommer W., Ma J., Chen L., Guan Y., Shou H., and Tian Z., 2020, Simultaneous changes in seed size, oil content and protein content driven by selection of SWEET homologues during soybean domestication, National Science Review, 7: 1776-1786. https://doi.org/10.1093/nsr/nwaa110 Wei W., Wang L., Tao J., Zhang W., Chen S., Song Q., and Zhang J., 2025, The comprehensive regulatory network in seed oil biosynthesis, Journal of Integrative Plant Biology, 67(3): 649-668. https://doi.org/10.1111/jipb.13834

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