Combination of Pseudo-LC-NMR and HRMS/MS-Based Molecular Networking for the Rapid Identification of Antimicrobial Metabolites From Fusarium petroliphilum

Combination of Pseudo-LC-NMR and HRMS/MS-Based Molecular Networking for the Rapid Identification of Antimicrobial Metabolites From Fusarium petroliphilum

An endophytic fungal strain isolated from a seagrass endemic to the Mediterranean Sea (Posidonia oceanica) was studied in order to identify its antimicrobial constituents and further characterize the composition of its metabolome. It was identified as Fusarium petroliphilum by in-depth phylogenetic...

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Bibliographic Details
Main Authors: Abdulelah Alfattani, Laurence Marcourt, Valérie Hofstetter, Emerson Ferreira Queiroz, Sara Leoni, Pierre-Marie Allard, Katia Gindro, Didier Stien, Karl Perron, Jean-Luc Wolfender
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-10-01
Series:Frontiers in Molecular Biosciences
Subjects:
Posidonia oceanica
fungal endophyte
Fusarium petroliphilum
UHPLC-HRMS/MS molecular networking
high-resolution semi-preparative HPLC
pseudo-LC-NMR
Online Access:https://www.frontiersin.org/articles/10.3389/fmolb.2021.725691/full

Internet

https://www.frontiersin.org/articles/10.3389/fmolb.2021.725691/full

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