Literature DB >> 30993742

Improvement of bioactive metabolite production in microbial cultures-A systems approach by OSMAC and deconvolution-based 1 HNMR quantification.

Denise Medeiros Selegato1, Rafael Teixeira Freire2, Alan César Pilon3, Carolina Rabal Biasetto1, Haroldo Cesar de Oliveira4, Lucas Magalhães de Abreu5, Angela Regina Araujo1, Vanderlan da Silva Bolzani1, Ian Castro-Gamboa1.   

Abstract

Traditionally, the screening of metabolites in microbial matrices is performed by monocultures. Nonetheless, the absence of biotic and abiotic interactions generally observed in nature still limit the chemical diversity and leads to "poorer" chemical profiles. Nowadays, several methods have been developed to determine the conditions under which cryptic genes are activated, in an attempt to induce these silenced biosynthetic pathways. Among those, the one strain, many compounds (OSMAC) strategy has been applied to enhance metabolic production by a systematic variation of growth parameters. The complexity of the chemical profiles from OSMAC experiments has required increasingly robust and accurate techniques. In this sense, deconvolution-based 1 HNMR quantification have emerged as a promising methodology to decrease complexity and provide a comprehensive perspective for metabolomics studies. Our present work shows an integrated strategy for the increased production and rapid quantification of compounds from microbial sources. Specifically, an OSMAC design of experiments (DoE) was used to optimize the microbial production of bioactive fusaric acid, cytochalasin D and 3-nitropropionic acid, and Global Spectral Deconvolution (GSD)-based 1 HNMR quantification was carried out for their measurement. The results showed that OSMAC increased the production of the metabolites by up to 33% and that GSD was able to extract accurate NMR integrals even in heavily coalescence spectral regions. Moreover, GSD-1 HNMR quantification was reproducible for all species and exhibited validated results that were more selective and accurate than comparative methods. Overall, this strategy up-regulated important metabolites using a reduced number of experiments and provided fast analyte monitor directly in raw extracts.
© 2019 John Wiley & Sons, Ltd.

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Keywords:  1H; 1HNMR quantification; Global Spectral Deconvolution; NMR; one strain many compounds; post-genomic strategy; secondary metabolite enhancement

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Year:  2019        PMID: 30993742     DOI: 10.1002/mrc.4874

Source DB:  PubMed          Journal:  Magn Reson Chem        ISSN: 0749-1581            Impact factor:   2.447


  4 in total

1.  Induction of metabolic variability of the endophytic fungus Xylaria sp. by OSMAC approach and experimental design.

Authors:  Rafael Vieira; Kally Alves de Sousa; Afif Felix Monteiro; Luciano Silva Pinto; Ian Castro-Gamboa
Journal:  Arch Microbiol       Date:  2021-03-29       Impact factor: 2.552

2.  Limonoids and other triterpenoids from Entandrophragma angolense.

Authors:  Isoo Youn; Zhenlong Wu; Samiya Papa; Joanna E Burdette; Bamisaye O Oyawaluja; Hyun Lee; Chun-Tao Che
Journal:  Fitoterapia       Date:  2021-02-12       Impact factor: 2.882

3.  Combination of GC-MS Molecular Networking and Larvicidal Effect against Aedes aegypti for the Discovery of Bioactive Substances in Commercial Essential Oils.

Authors:  Alan Cesar Pilon; Marcelo Del Grande; Maíra R S Silvério; Ricardo R Silva; Lorena C Albernaz; Paulo Cézar Vieira; João Luis Callegari Lopes; Laila S Espindola; Norberto Peporine Lopes
Journal:  Molecules       Date:  2022-02-28       Impact factor: 4.411

4.  Highly Oxygenated Constituents from a Marine Alga-Derived Fungus Aspergillus giganteus NTU967.

Authors:  Jih-Jung Chen; Shih-Wei Wang; Yin-Ru Chiang; Ka-Lai Pang; Yueh-Hsiung Kuo; Tsai-Yen Shih; Tzong-Huei Lee
Journal:  Mar Drugs       Date:  2020-06-06       Impact factor: 5.118

  4 in total

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