Improvement of bioactive metabolite production in microbial cultures-A systems approach by OSMAC and deconvolution-based1HNMR quantification
| Autor: | Angela Regina Araújo, Ian Castro-Gamboa, Denise Medeiros Selegato, Rafael Teixeira Freire, Carolina Rabal Biasetto, Vanderlan da Silva Bolzani, Lucas M. Abreu, Alan Cesar Pilon, Haroldo Cesar de Oliveira |
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| Rok vydání: | 2019 |
| Předmět: |
Analyte
010405 organic chemistry General Chemistry Systematic variation 010402 general chemistry 01 natural sciences 0104 chemical sciences chemistry.chemical_compound Metabolomics chemistry Bioactive metabolite Chemical diversity General Materials Science Deconvolution Biological system Fusaric acid |
| Zdroj: | Magnetic Resonance in Chemistry. 57:458-471 |
| ISSN: | 0749-1581 |
| DOI: | 10.1002/mrc.4874 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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