Instituto Federal de Educação, Ciência e Tecnologia de Rondônia, IFRO, Campus Ji-Paraná, Street Rio Amazonas, 151, Ji-Paraná, Rondônia, Brazil.
Instituto Federal de Educação, Ciência e Tecnologia de Rondônia, IFRO, Guajará-Mirim, Brazil.
Arch Microbiol. 2021 Aug;203(6):3025-3032. doi: 10.1007/s00203-021-02283-w. Epub 2021 Mar 29.
This work has as the main focus, to analyze the behavior of physic-chemical variations from the fungus Xylaria sp., through the OSMAC (One Strain, Many Compounds) approach as an efficient way of obtaining new compounds. To perform such inductions and to explore the variability of the metabolic network of this microorganism, a factorial design was designed to induce variability (or enhancement) of metabolites. In view of chemometric insights, the planned inductions were imposed on the microorganism and variations in the chemical profile were observed in the crude extracts. Through mass spectrometry (HR-ESI-MS) and nuclear magnetic resonance-based profiles, combined with multivariate analysis through Principal Component Analysis (PCA), it was observed a marked variability of signals, confirming the efficacy in the metabolic alteration, defining the culture medium and agitation as the most important variables in the metabolic variability of the fungus. However, the extract mass is more significant for the agitation variable, and there is no relationship between the mass of crude extract and the amount of molecular signals of the complex matrices studied.
本工作的主要重点是通过 OSMAC（一种菌株，多种化合物）方法分析真菌 Xylaria sp. 的理化变化行为，作为获得新化合物的有效途径。为了进行这些诱导，并探索该微生物代谢网络的可变性，设计了一个析因设计来诱导代谢物的可变性（或增强）。从化学计量学的角度来看，计划的诱导被施加于微生物上，并在粗提物中观察到化学特征的变化。通过质谱（HR-ESI-MS）和基于核磁共振的图谱，结合主成分分析（PCA）的多元分析，观察到信号的明显可变性，证实了在代谢改变方面的功效，确定了培养基和搅拌是真菌代谢可变性的最重要变量。然而，对于搅拌变量，粗提物的质量更为重要，并且研究的复杂基质的分子信号的数量与粗提物的质量之间没有关系。
