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  • A systems approach using OSMAC, Log P and NMR fingerprinting: An approach to novelty

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    Author(s)
    Liu, Miaomiao
    Grkovic, Tanja
    Liu, Xueting
    Han, Jianying
    Zhang, Lixin
    Quinn, Ronald J
    Griffith University Author(s)
    Quinn, Ronald J.
    Liu, Miaomiao
    Year published
    2017
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    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 ...
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    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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    Journal Title
    Synthetic and Systems Biotechnology
    Volume
    2
    Issue
    4
    DOI
    https://doi.org/10.1016/j.synbio.2017.10.001
    Copyright Statement
    © 2017 The Authors. Production and hosting by Elsevier B.V. on behalf of KeAi Communications Co. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/) which permits unrestricted, non-commercial use, distribution and reproduction in any medium, providing that the work is properly cited.
    Subject
    Medicinal and biomolecular chemistry not elsewhere classified
    Publication URI
    http://hdl.handle.net/10072/369396
    Collection
    • Journal articles

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