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Metabolites Software-Assisted Flavonoid Hunting in Plants Using Ultra-High Performance Liquid Chromatography-Quadrupole-Time of Flight Mass Spectrometry

机译:使用超高效液相色谱-四极杆-飞行时间质谱分析代谢物软件辅助植物中类黄酮的捕集

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摘要

Plant secondary metabolism drives the generation of metabolites used for host plant resistance, as biopesticides and botanicals, even for the discovery of new therapeutics for human diseases. Flavonoids are one of the largest and most studied classes of specialized plant metabolites. To quickly identify the potential bioactive flavonoids in herbs, a metabolites software-assisted flavonoid hunting approach was developed, which mainly included three steps: firstly, utilizing commercial metabolite software, a flavonoids database was established based on the biosynthetic pathways; secondly, mass spectral data of components in herbs were acquired by ultra-high performance liquid chromatography-quadrupole-time of flight mass spectrometry (UHPLC-Q-TOF-MS); and finally, the acquired LC-MS data were imported into the database and the compounds in the herbs were automatically identified by comparison of their mass spectra with the theoretical values. As a case study, the flavonoids in Smilax glabra were profiled using this approach. As a result, 104 flavonoids including 27 potential new compounds were identified. To our knowledge, this is the first report on profiling the components in the plants utilizing the plant metabolic principles with the assistance of metabolites software. This approach can be extended to the analysis of flavonoids in other plants.
机译:植物的次生代谢驱动了用于宿主植物抗性的代谢产物的产生,例如生物农药和植物药,甚至用于发现人类疾病的新疗法。黄酮类化合物是最大的和研究最多的特种植物代谢物之一。为了快速确定草药中潜在的生物活性类黄酮,开发了一种代谢物软件辅助的类黄酮狩猎方法,该方法主要包括三个步骤:首先,利用商业代谢物软件,基于生物合成途径建立了类黄酮数据库;其次,采用超高效液相色谱-四极杆飞行时间质谱(UHPLC-Q-TOF-MS)采集草药中各组分的质谱数据。最后,将获得的LC-MS数据导入数据库,并通过将其质谱与理论值进行比较来自动识别草药中的化合物。作为案例研究,使用这种方法对S草中的类黄酮进行了分析。结果,鉴定出104种黄酮类化合物,其中包括27种潜在的新化合物。据我们所知,这是关于利用植物代谢原理借助代谢产物软件对植物成分进行分析的第一份报告。该方法可以扩展到其他植物中类黄酮的分析。

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