Metabolic fingerprinting of salt-stressed tomatoes
Metabolic fingerprinting of salt-stressed tomatoes
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DOI：
10.1016/s0031-9422(02)00722-7
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发表时间：
2003-03-01
期刊：
影响因子：
3.8
通讯作者：
Smith, AR
中科院分区：
文献类型：
--
作者：
Johnson, HE;Broadhurst, D;Smith, AR
本研究采用代谢指纹图谱的方法，利用傅里叶变换红外光谱（FT-IR）和化学计量学研究盐分对番茄果实的影响。以Edkawy和Simge F1两个番茄品种为研究对象。盐度处理显著降低了司格格F1的相对生长速率，但对爱德威的相对生长速率无显著影响。盐处理显著降低了两个番茄品种的平均鲜重和大小等级，但对总果数无显著影响。然而，两个品种的可售产量都因盐胁迫导致的花端腐病的发生而降低。采用FT-lR光谱法对对照番茄和盐栽培番茄的全果肉提取物进行了分析。每个样品光谱包含882个变量，不同波数下的吸光度值使视觉分析变得困难，因此采用了机器学习方法。无监督聚类分析、主成分分析（PCA）表明，两个品种的对照和盐处理果实之间没有区别。判别函数分析（DFA）能够对两个品种的对照和盐处理果实进行分类。利用遗传算法（GA）在FT-IR光谱中识别对果实分类有重要意义的区分区。GA模型能够对对照和盐处理水果进行分类，在对整个数据集进行分类时，Edkawy的典型误差为9%，Simge F1的典型误差为5%。在光谱中确定了与含腈化合物和氨基自由基相对应的关键区域。遗传分析的应用使鉴定与番茄对盐的反应有关的潜在重要官能团成为可能。2003爱思唯尔科学有限公司版权所有。
The aim of this study was to adopt the approach of metabolic fingerprinting through the use of Fourier transform infrared (FT-IR) spectroscopy and chemometrics to study the effect of salinity on tomato fruit. Two varieties of tomato were studied, Edkawy and Simge F1. Salinity treatment significantly reduced the relative growth rate of Simge F1 but had no significant effect on that of Edkawy. In both tomato varieties salt-treatment significantly reduced mean fruit fresh weight and size class but had no significant affect on total fruit number. Marketable yield was however reduced in both varieties due to the occurrence of blossom end rot in response to salinity. Whole fruit flesh extracts from control and salt-grown tomatoes were analysed using FT-lR spectroscopy. Each sample spectrum contained 882 variables, absorbance values at different wavenumbers, making visual analysis difficult and therefore machine learning methods were applied. The unsupervised clustering method, principal component analysis (PCA) showed no discrimination between the control and salt-treated fruit for either variety. The supervised method, discriminant function analysis (DFA) was able to classify control and salt-treated fruit in both varieties. Genetic algorithms (GA) were applied to identify discriminatory regions within the FT-IR spectra important for fruit classification. The GA models were able to classify control and salt-treated fruit with a typical error, when classifying the whole data set, of 9% in Edkawy and 5% in Simge F1. Key regions were identified within the spectra corresponding to nitrile containing compounds and amino radicals. The application of GA enabled the identification of functional groups of potential importance in relation to the response of tomato to salinity. (C) 2003 Elsevier Science Ltd. All rights reserved.