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Updated: Feb 13, 2026

Multipronged Phenotyping Approaches to Characterize Sugarcane Root Systems
Published on: August 17, 2022
A systems approach using OSMAC, Log P and NMR fingerprinting: An approach to novelty
Miaomiao Liu1, Tanja Grkovic1, Xueting Liu2
1Griffith Institute for Drug Discovery, Griffith University, Brisbane, QLD, 4111, Australia.
Abstract:
The growing number of sequenced microbial genomes has revealed a remarkably large number of secondary metabolite biosynthetic clusters for which the compounds are still unknown. The aim of the present work was to apply a strategy to detect newly induced natural products by cultivating microorganisms in different fermentation conditions. The metabolomic analysis of 4160 fractions generated from 13 actinomycetes under 32 different culture conditions was carried out by 1H NMR spectroscopy and multivariate analysis. The principal component analysis (PCA) of the 1H NMR spectra showed a clear discrimination between those samples within PC1 and PC2. The fractions with induced metabolites that are only produced under specific growth conditions was identified by PCA analysis. This method allows an efficient differentiation within a large dataset with only one fractionation step. This work demonstrates the potential of NMR spectroscopy in combination with metabolomic data analysis for the screening of large sets of fractions.
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