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基于GC-MS对水稻种子耐镉差异代谢物的筛选与分析 被引量:5

Screening and Analysis of Cadmium-tolerant Differential Metabolites in Rice Seeds Based on GC-MS Method
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摘要 为了筛选耐镉性较好的水稻品种,本研究利用气相色谱质谱联用仪,对24份不同耐镉程度的水稻品种进行了代谢物的定性与定量分析,通过主成分分析(PCA)和偏最小二乘判别分析(PLS-DA)等多元统计分析方法筛选出水稻耐镉差异性代谢物。结果表明:24份水稻种子共检测出59种主要代谢产物,有机酸类物质可将不同耐镉水平的水稻区分开;同时结合PLS-DA与T检验筛选后得出4种差异代谢物(VIP>1,p<0.05),其中9,12-亚油酸主要存在于低耐品种,而丙二酸、扁桃酸和D-甘露醇主要存在于高耐品种中。说明有机酸类物质与水稻耐镉性相关,可作为区分水稻种子耐镉差异的标志代谢物。 In order to establish an efficient screening method for rice varieties with good cadmium tolerance,this study used gas chromatography mass spectrometry to analyze the qualitative and quantitative analysis of metabolites in 24 rice varieties with different cadmium tolerance levels.Cadmium levels were screened for differential cadmium-tolerant metabolites in rice by multivariate statistical analysis methods such as principal component analysis(PCA)and partial least squares-discrimination analysis(PLS-DA).The results showed that 59 main metabolites were detected from 24 rice seeds,and the index of organic acids could be used to distinguish rice with different cadmium tolerance levels.And four differential metabolites were screened out by PLS-DA and T test(VIP>1,p<0.05).Among them,the linoleic acid mainly existed in the low cadmium-tolerant rice varieties,while malonic acid,mandelic acid and D-mannitol mainly existed in the high cadmium-tolerant ones,which indicated that organic acids were related to cadmium resistance of rice and could be used as a marker metabolite to distinguish cadmium resistance of rice seeds.”
作者 牟美睿 刘洋 刘海学 杨仁杰 MU Meirui;LIU Yang;LIU Haixue;YANG Renjie(College of Agronomy and Resource Environment,Tianjin Agricultural University,Tianjin 300384,China;College of Landscape and Horticulture,Tianjin Agricultural University,Tianjin 300384,China;College of Engineering and Technology,Tianjin Agricultural University,TianJin 300384,China)
出处 《种子》 北大核心 2020年第3期13-19,共7页 Seed
基金 国家自然科学基金(41771357)。
关键词 GC-MS 水稻 差异代谢物 多元统计学分析 GC-MS rice cadmium differential metabolites multivariate statistical analysis
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