qNMR for Profiling the Production of Fungal Secondary Metabolites

UNCG Author/Contributor (non-UNCG co-authors, if there are any, appear on document)
Nadja B. Cech, Patricia A. Sullivan Distinguished Professor of Chemistry (Creator)
Franklin J. Moy, Nuclear Magnetic Resonance Research Operations Manager (Creator)
Nicholas Oberlies, Patricia A. Sullivan Distinguished Professor of Chemistry (Creator)
Cedric J Pearce, Adjunct Professor (Creator)
Huzefa A. Raja, Research Scientist (Creator)
The University of North Carolina at Greensboro (UNCG )
Web Site: http://library.uncg.edu/

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.

Additional Information

Magnetic Resonance in Chemistry, 55: 670–676. doi: 10.1002/mrc.4571
Language: English
Date: 2017
NMR, 1H NMR, qNMR, griseofulvin, fungi, secondary metabolites

Email this document to