Metabolic Biomarker Panels of Response to Fusarium Head Blight Infection in Different Wheat Varieties.
Metabolic Biomarker Panels of Response to Fusarium Head Blight Infection in Different Wheat Varieties.
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DOI：
10.1371/journal.pone.0153642
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发表时间：
2016
期刊：
影响因子：
3.7
通讯作者：
Fobert PR
中科院分区：
文献类型：
--
作者：
Cuperlovic-Culf M;Wang L;Forseille L;Boyle K;Merkley N;Burton I;Fobert PR
使用核磁共振分析探讨了小麦品种 FL62R1、Stettler、Muchmore 和 Sumai3 的小穗在禾谷镰刀菌感染后的代谢变化。广泛的一维和二维 1H NMR 测量为详细的代谢物分配和量化提供了信息，从而产生可能的代谢标记来区分小麦亚型的抗性水平。此外，还确定并讨论了在所有研究品种中观察到的代谢变化以及小麦品种的具体变化。描述并利用了一种根据 NMR 数据进行代谢物定量的新方法，该方法在定量之前使用指定代谢物的光谱与样品的一维光谱的多元线性回归优化来自动对齐标准品和样品的光谱。在代谢网络和抗性的背景下讨论了镰刀菌感染引起的不同小麦品种的代谢变化。
Metabolic changes in spikelets of wheat varieties FL62R1, Stettler, Muchmore and Sumai3 following Fusarium graminearum infection were explored using NMR analysis. Extensive 1D and 2D 1H NMR measurements provided information for detailed metabolite assignment and quantification leading to possible metabolic markers discriminating resistance level in wheat subtypes. In addition, metabolic changes that are observed in all studied varieties as well as wheat variety specific changes have been determined and discussed. A new method for metabolite quantification from NMR data that automatically aligns spectra of standards and samples prior to quantification using multivariate linear regression optimization of spectra of assigned metabolites to samples’ 1D spectra is described and utilized. Fusarium infection-induced metabolic changes in different wheat varieties are discussed in the context of metabolic network and resistance.