Shen Xinting, Shen Huifang, Wang Fei, Wang Yao, Zhao Rui, Li Zhebin, Zhou Ye, Yao Xinmiao
Food Processing Research Institute, Heilongjiang Academy of Agricultural Sciences, Harbin, China.
Heilongjiang Province Key Laboratory of Food Processing, Harbin, China.
PLoS One. 2025 Jul 9;20(7):e0327962. doi: 10.1371/journal.pone.0327962. eCollection 2025.
This study aimed to investigate the metabolic differences among six mung bean (Vigna radiata) varieties cultivated in Heilongjiang Province, China, using non-targeted metabolomics based on high-resolution mass spectrometry. Principal component analysis (PCA) and orthogonal partial least squares discriminant analysis (OPLS-DA) were employed to explore and distinguish the metabolomic profiles across different varieties. A total of 547 metabolites were identified, including fatty acids (9.69%), phenolic acids (7.86%), amino acids and derivatives (5.12%), among others. PCA revealed that the first two principal components (t[1] and t[2]) accounted for 20.1% and 17.0% of the total variance, respectively, indicating significant differentiation among varieties. Differential metabolite analysis demonstrated that GLD07_03 was enriched in defense-related compounds such as lignans, terpenoid lactones, and methyl salicylate, suggesting enhanced antibacterial and antioxidant capacity. BL13_1 showed higher metabolic activity in glycolysis and the mevalonate pathway, with L-lactic acid and mevalonate levels 57.2% and 33.8% higher than those in GLD07_03. NL2_1 and NL4_1 accumulated high levels of amino acids (e.g., L-aspartic acid, increased by 161%), nucleosides, and flavonoids, contributing to superior antioxidant potential. T1114111_1 exhibited higher levels of fatty acids and alkaloids (e.g., trigonelline, increased by 25.2%), associated with improved membrane stability and antibacterial activity. JL13_1 displayed elevated levels of D-proline and (7Z,10Z)-7,10-hexadecadienoic acid (increased by 26.5% and 34.8%, respectively), suggesting advantages in osmotic regulation and membrane homeostasis. These findings reveal distinct metabolite profiles and biochemical traits among mung bean varieties, providing valuable insights for varietal identification, nutritional evaluation, and breeding for enhanced stress tolerance. The study also offers a scientific basis for the development of functional mung bean products and future breeding strategies focused on metabolic traits.
本研究旨在利用基于高分辨率质谱的非靶向代谢组学方法,调查在中国黑龙江省种植的六个绿豆(Vigna radiata)品种之间的代谢差异。采用主成分分析(PCA)和正交偏最小二乘法判别分析(OPLS-DA)来探索和区分不同品种的代谢组学特征。共鉴定出547种代谢物,包括脂肪酸(9.69%)、酚酸(7.86%)、氨基酸及其衍生物(5.12%)等。PCA显示,前两个主成分(t[1]和t[2])分别占总方差的20.1%和17.0%,表明品种间存在显著差异。差异代谢物分析表明,GLD07_03富含与防御相关的化合物,如木脂素、萜类内酯和水杨酸甲酯,表明其抗菌和抗氧化能力增强。BL13_1在糖酵解和甲羟戊酸途径中表现出较高的代谢活性,L-乳酸和甲羟戊酸水平分别比GLD07_03高57.2%和33.8%。NL2_1和NL4_1积累了高水平的氨基酸(如L-天冬氨酸,增加了161%)、核苷和黄酮类化合物,具有较强的抗氧化潜力。T1114111_1表现出较高水平的脂肪酸和生物碱(如胡芦巴碱,增加了25.2%),与改善膜稳定性和抗菌活性有关。JL13_1显示D-脯氨酸和(7Z,10Z)-7,10-十六碳二烯酸水平升高(分别增加了26.5%和34.8%),表明其在渗透调节和膜稳态方面具有优势。这些发现揭示了绿豆品种之间不同的代谢物谱和生化特性,为品种鉴定、营养评价和增强抗逆性育种提供了有价值的见解。该研究还为功能性绿豆产品的开发以及专注于代谢性状的未来育种策略提供了科学依据。