QNMR for profiling the production of fungal secondary metabolites. (5th February 2017)

• Record Type: Journal Article
• Authors: Brooks, Wilson C.; Paguigan, Noemi D.; Raja, Huzefa A.; Moy, Franklin J.; Cech, Nadja B.; Pearce, Cedric J.; Oberlies, Nicholas H.
• Is Part Of: Magnetic resonance in chemistry. Volume 55:Number 7(2017:Jul.)
• Page Start: 670
• Page End: 676
• Publication Date: 2017-02-05
• Subjects: NMR -- 1H NMR -- qNMR -- griseofulvin -- fungi -- secondary metabolites; Nuclear magnetic resonance spectroscopy -- Periodicals; Chemistry, Organic -- Periodicals; Magnetic resonance -- Periodicals; 538.36
• DOI: 10.1002/mrc.4571
• Languages: English
• ISSNs: 0749-1581

Abstract

Abstract : Analysis of complex mixtures is a common challenge in natural products research. Quantitative nuclear magnetic resonance spectroscopy offers analysis of complex mixtures at early stages and with benefits that are orthogonal to more common methods of quantitation, including ultraviolet absorption spectroscopy and mass spectrometry. Several experiments were conducted to construct a methodology for use in analysis of extracts of fungal cultures. A broadly applicable method was sought for analysis of both pure and complex samples through use of an externally calibrated method. This method has the benefit of not contaminating valuable samples with the calibrant, and it passed scrutiny for line fitting and reproducibility. The method was implemented to measure the yield of griseofulvin and dechlorogriseofulvin from three fungal isolates. An isolate of Xylaria cubensis (coded MSX48662) was found to biosynthesize griseofulvin in the greatest yield, 149 ± 8 mg per fermentation, and was selected for further supply experiments. Copyright © 2016 John Wiley & Sons, Ltd. Abstract : Analysis of complex mixtures is a common challenge in natural products research. Quantitative nuclear magnetic resonance spectroscopy offers analysis of complex mixtures upstream in the isolation and purification process, providing quantitative measurements with which to compare differing culture conditions. The end result is the selection of an efficient fungal strain and specific fermentation conditions to resupply valuable compounds extrapolated from the quantitative information.