美国栗、中国栗及其杂交后代叶组织中总酚类化合物和非靶向挥发性代谢组学的测定

Jinyan She, Chathuri U. G. Mohottige, M. King, Yi Jiang, Matt Mlsna, S. Clark, R. Baird, T. Mlsna
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引用次数: 1

摘要

美国栗(Castanea dentata)曾是阿巴拉契亚山脉的优势树种,在生态系统中发挥着重要作用。然而,它几乎被子囊菌Cryphonectria parasitica引起的栗子枯萎病所消除。鉴定物种和回交杂交种特有的化合物可能有助于进一步完善抗病育种和测试。植物产生的酚类化合物对其防御真菌病原体的机制具有重要意义。因此,开发了一个分析平台,利用紫外/可见分光光度法测定美国栗、中国栗及其回交后代(B3F2和B3F3)叶片组织中的总酚含量,可用于预测枯萎病抗性。在甲醇/水(95%:5%v/v)和pH为2的条件下提取叶组织的结果表明,这四个树种之间的吸附(765nm)差异显著(ANOVA p=2.3×10-7)。利用Peleg、二阶、Elovich和幂律模型详细阐述了酚类化合物固液萃取的动力学。此外,利用顶空固相微萃取(SPME)气相色谱和质谱法对美国栗、中国栗及其回交杂交种B3F2和B3F3叶片中的挥发性有机化合物进行了广泛的分析。在所有栗子类型中共鉴定出67种挥发性有机物。据报道,许多与栗子相关的代谢产物具有抗真菌特性,而天然和杂交的美国栗子代谢产物则没有。大多数抗真菌代谢产物对子囊菌门表现出最强的疗效。偏最小二乘判别分析(PLS-DA)模型(R2X=0.884,R2Y=0.917,Q2=0.584)在前五个主成分(PC)内区分了栗种和杂交种。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Estimation of Total Phenolic Compounds and Non-Targeted Volatile Metabolomics in Leaf Tissues of American Chestnut (Castanea dentata), Chinese Chestnut (Castanea mollissima) and the Backcross Breeding Generations
The American chestnut (Castanea dentata) was once a dominant tree species in the Appalachian Mountains and played a critical role in the ecological system. However, it was nearly eliminated by chestnut blight caused by the Ascomycetous fungus Cryphonectria parasitica. Identification of compounds specific to species and backcross hybrids may help further refine disease resistance breeding and testing. Phenolic compounds produced by plants are significant to their defense mechanisms against fungal pathogens. Therefore, an analytical platform has been developed to estimate the total phenolic content in leaf tissues of the American chestnut, Chinese chestnut (Castanea mollissima), and their backcross breeding generations (B3F2 and B3F3) using the Folin-Ciocalteu reagent assay with UV/Vis spectrophotometry which may be used to predict blight resistance. Adsorption (765 nm) results from leaf tissue extraction in methanol/water (95%:5% v/v) and pH 2, show that the variations among these four tree species are significant (ANOVA p = 2.3 × 10-7). The kinetics of phenolic compound solid-liquid extraction was elaborated using Peleg, second order, Elovich, and power law models. In addition, extensive analysis using headspace solid phase microextraction (SPME) gas chromatography and mass spectrometry was conducted to identify volatile organic compounds (VOCs) from the leaf of American chestnut, Chinese chestnut, and their backcross hybrids B3F2 and B3F3. A total of 67 VOCs were identified among all chestnut types. Many of the metabolites associated with the Chinese chestnut have been reported to have antifungal properties, whereas the native and hybrid American chestnut metabolites have not. Most of the antifungal metabolites showed the strongest efficacy towards the Ascomycota phylum. A partial least squares discriminant analysis (PLS-DA) model (R2X = 0.884, R2Y = 0.917, Q2 = 0.584) differentiated chestnut species and hybrids within the first five principal component (PCs).
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