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

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

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...

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Main Authors: Miaomiao Liu, Tanja Grkovic, Xueting Liu, Jianying Han, Lixin Zhang, Ronald J. Quinn
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2017-12-01
Series:Synthetic and Systems Biotechnology
Subjects:
NMR fingerprints
OSMAC
Metabolites
Online Access:http://www.sciencedirect.com/science/article/pii/S2405805X17300546
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spelling doaj-9c5949830f714e0ebc0d12887c64f4e52021-02-02T03:24:20ZengKeAi Communications Co., Ltd.Synthetic and Systems Biotechnology2405-805X2017-12-012427628610.1016/j.synbio.2017.10.001A systems approach using OSMAC, Log P and NMR fingerprinting: An approach to noveltyMiaomiao Liu0Tanja Grkovic1Xueting Liu2Jianying Han3Lixin Zhang4Ronald J. Quinn5Griffith Institute for Drug Discovery, Griffith University, Brisbane, QLD, 4111, AustraliaGriffith Institute for Drug Discovery, Griffith University, Brisbane, QLD, 4111, AustraliaKey Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, 100101, ChinaKey Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, 100101, ChinaKey Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, 100101, ChinaGriffith Institute for Drug Discovery, Griffith University, Brisbane, QLD, 4111, AustraliaThe 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.http://www.sciencedirect.com/science/article/pii/S2405805X17300546NMR fingerprintsOSMACMetabolites
collection DOAJ
language English
format Article
sources DOAJ
author Miaomiao Liu
Tanja Grkovic
Xueting Liu
Jianying Han
Lixin Zhang
Ronald J. Quinn
spellingShingle Miaomiao Liu
Tanja Grkovic
Xueting Liu
Jianying Han
Lixin Zhang
Ronald J. Quinn
A systems approach using OSMAC, Log P and NMR fingerprinting: An approach to novelty
Synthetic and Systems Biotechnology
NMR fingerprints
OSMAC
Metabolites
author_facet Miaomiao Liu
Tanja Grkovic
Xueting Liu
Jianying Han
Lixin Zhang
Ronald J. Quinn
author_sort Miaomiao Liu
title A systems approach using OSMAC, Log P and NMR fingerprinting: An approach to novelty
title_short A systems approach using OSMAC, Log P and NMR fingerprinting: An approach to novelty
title_full A systems approach using OSMAC, Log P and NMR fingerprinting: An approach to novelty
title_fullStr A systems approach using OSMAC, Log P and NMR fingerprinting: An approach to novelty
title_full_unstemmed A systems approach using OSMAC, Log P and NMR fingerprinting: An approach to novelty
title_sort systems approach using osmac, log p and nmr fingerprinting: an approach to novelty
publisher KeAi Communications Co., Ltd.
series Synthetic and Systems Biotechnology
issn 2405-805X
publishDate 2017-12-01
description 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.
topic NMR fingerprints
OSMAC
Metabolites
url http://www.sciencedirect.com/science/article/pii/S2405805X17300546
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