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Efficient identification of fungal antimicrobial principles by tandem MS and NMR database

The continuous re-isolation of the known and non-applicable compounds that is time-consuming and wasting resources is still a critical problem in the discovery of bioactive entities from natural resources. To efficiently address the problem, high performance liquid chromatography-diode array detecto...

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Autores principales: Lee, Ming-Shian, Yang, Yu-Liang, Wu, Chia-Yen, Chen, Ying-Lien, Lee, Ching-Kuo, Tzean, Shean-Shong, Lee, Tzong-Huei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taiwan Food and Drug Administration 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9306986/
https://www.ncbi.nlm.nih.gov/pubmed/31590757
http://dx.doi.org/10.1016/j.jfda.2019.06.003
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author Lee, Ming-Shian
Yang, Yu-Liang
Wu, Chia-Yen
Chen, Ying-Lien
Lee, Ching-Kuo
Tzean, Shean-Shong
Lee, Tzong-Huei
author_facet Lee, Ming-Shian
Yang, Yu-Liang
Wu, Chia-Yen
Chen, Ying-Lien
Lee, Ching-Kuo
Tzean, Shean-Shong
Lee, Tzong-Huei
author_sort Lee, Ming-Shian
collection PubMed
description The continuous re-isolation of the known and non-applicable compounds that is time-consuming and wasting resources is still a critical problem in the discovery of bioactive entities from natural resources. To efficiently address the problem, high performance liquid chromatography-diode array detector-microfractionation (HPLC-DAD-microfractionation) guided by disk agar diffusion assay was developed, and the active compounds were further identified using the tandem mass spectrometry (MS/MS)-based molecular networking. Of 150 fungal strains screened, the methanolic extracts of Phoma herbarum PPM7487, Cryptosporiopsis ericae PPM7405, and Albifimbria verrucaria PPM945 exhibited potent antimicrobial activity against Candida albicans SC5314 and Cryptococcus neoformans H99 in the preliminary agar diffusion assay. The concept of OSMAC (one strain many compounds) was employed in the fungal cultures in order to enrich the diversity of the 2(nd) metabolites in this study. HPLC coupled with off-line bioactivity-directed profiling of the extracts enabled a precise localization of the compounds responsible for the conspicuous antimicrobial activity. The purified active compounds were identified based mainly on MS/MS database, and further supported by (13)C nuclear magnetic resonance (NMR) spectral data compared to the literatures. In addition to nineteen known compounds, a new trichothecene derivative 1, namely trichoverrin D, was isolated and identified through this protocol. The antifungal activities of all the pure isolates were evaluated, and the structure activity relationships were also inferred. This report has demonstrated the combination of HPLC microfractination and MS/MS coupled by NMR spectral dereplication for speeding up the antimicrobial natural products discovery process.
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spelling pubmed-93069862022-08-09 Efficient identification of fungal antimicrobial principles by tandem MS and NMR database Lee, Ming-Shian Yang, Yu-Liang Wu, Chia-Yen Chen, Ying-Lien Lee, Ching-Kuo Tzean, Shean-Shong Lee, Tzong-Huei J Food Drug Anal Original Article The continuous re-isolation of the known and non-applicable compounds that is time-consuming and wasting resources is still a critical problem in the discovery of bioactive entities from natural resources. To efficiently address the problem, high performance liquid chromatography-diode array detector-microfractionation (HPLC-DAD-microfractionation) guided by disk agar diffusion assay was developed, and the active compounds were further identified using the tandem mass spectrometry (MS/MS)-based molecular networking. Of 150 fungal strains screened, the methanolic extracts of Phoma herbarum PPM7487, Cryptosporiopsis ericae PPM7405, and Albifimbria verrucaria PPM945 exhibited potent antimicrobial activity against Candida albicans SC5314 and Cryptococcus neoformans H99 in the preliminary agar diffusion assay. The concept of OSMAC (one strain many compounds) was employed in the fungal cultures in order to enrich the diversity of the 2(nd) metabolites in this study. HPLC coupled with off-line bioactivity-directed profiling of the extracts enabled a precise localization of the compounds responsible for the conspicuous antimicrobial activity. The purified active compounds were identified based mainly on MS/MS database, and further supported by (13)C nuclear magnetic resonance (NMR) spectral data compared to the literatures. In addition to nineteen known compounds, a new trichothecene derivative 1, namely trichoverrin D, was isolated and identified through this protocol. The antifungal activities of all the pure isolates were evaluated, and the structure activity relationships were also inferred. This report has demonstrated the combination of HPLC microfractination and MS/MS coupled by NMR spectral dereplication for speeding up the antimicrobial natural products discovery process. Taiwan Food and Drug Administration 2019-06-27 /pmc/articles/PMC9306986/ /pubmed/31590757 http://dx.doi.org/10.1016/j.jfda.2019.06.003 Text en © 2019 Taiwan Food and Drug Administration https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) ).
spellingShingle Original Article
Lee, Ming-Shian
Yang, Yu-Liang
Wu, Chia-Yen
Chen, Ying-Lien
Lee, Ching-Kuo
Tzean, Shean-Shong
Lee, Tzong-Huei
Efficient identification of fungal antimicrobial principles by tandem MS and NMR database
title Efficient identification of fungal antimicrobial principles by tandem MS and NMR database
title_full Efficient identification of fungal antimicrobial principles by tandem MS and NMR database
title_fullStr Efficient identification of fungal antimicrobial principles by tandem MS and NMR database
title_full_unstemmed Efficient identification of fungal antimicrobial principles by tandem MS and NMR database
title_short Efficient identification of fungal antimicrobial principles by tandem MS and NMR database
title_sort efficient identification of fungal antimicrobial principles by tandem ms and nmr database
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9306986/
https://www.ncbi.nlm.nih.gov/pubmed/31590757
http://dx.doi.org/10.1016/j.jfda.2019.06.003
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