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Response Surface Methodology (RSM) Mediated Optimization of Medium Components for Mycelial Growth and Metabolites Production of Streptomyces alfalfae XN-04
Streptomyces alfalfae XN-04 has been reported for the production of antifungal metabolites effectively to control Fusarium wilt of cotton, caused by Fusarium oxysporum f. sp. vasinfectum (Fov). In this study, we used integrated statistical experimental design methods to investigate the optimized liq...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9501596/ https://www.ncbi.nlm.nih.gov/pubmed/36144456 http://dx.doi.org/10.3390/microorganisms10091854 |
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author | Chen, Jing Lan, Xingjie Jia, Ruimin Hu, Lifang Wang, Yang |
author_facet | Chen, Jing Lan, Xingjie Jia, Ruimin Hu, Lifang Wang, Yang |
author_sort | Chen, Jing |
collection | PubMed |
description | Streptomyces alfalfae XN-04 has been reported for the production of antifungal metabolites effectively to control Fusarium wilt of cotton, caused by Fusarium oxysporum f. sp. vasinfectum (Fov). In this study, we used integrated statistical experimental design methods to investigate the optimized liquid fermentation medium components of XN-04, which can significantly increase the antifungal activity and biomass of XN-04. Seven variables, including soluble starch, KNO(3), soybean cake powder, K(2)HPO(4), MgSO(4)·7H(2)O, CaCO(3) and FeSO(4)·7H(2)O, were identified as the best ingredients based on one-factor-at-a-time (OFAT) method. The results of Plackett–Burman Design (PBD) showed that soluble starch, soybean cake powder and K(2)HPO(4) were the most significant variables among the seven variables. The steepest climbing experiment and response surface methodology (RSM) were performed to determine the interactions among these three variables and fine-tune the concentrations. The optimal compositions of medium were as follows: soluble starch (26.26 g/L), KNO(3) (1.00 g/L), soybean cake powder (23.54 g/L), K(2)HPO(4) (0.27 g/L), MgSO(4)·7H(2)O (0.50 g/L), CaCO(3) (1.00 g/L) and FeSO(4)·7H(2)O (0.10 g/L). A verification experiment was then carried out under the optimized conditions, and the results revealed the mycelial dry weight of S. alfalfae XN-04 reaching 6.61 g/L. Compared with the initial medium, a 7.47-fold increase in the biomass was achieved using the optimized medium. Moreover, the active ingredient was purified from the methanol extract of S. alfalfae XN-04 mycelium and then identified as roflamycoin (a polyene macrolide antibiotic). The results may provide new insights into the development of S. alfalfae XN-04 fermentation process and the control of the Fusarium wilt of cotton and other plant diseases. |
format | Online Article Text |
id | pubmed-9501596 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-95015962022-09-24 Response Surface Methodology (RSM) Mediated Optimization of Medium Components for Mycelial Growth and Metabolites Production of Streptomyces alfalfae XN-04 Chen, Jing Lan, Xingjie Jia, Ruimin Hu, Lifang Wang, Yang Microorganisms Article Streptomyces alfalfae XN-04 has been reported for the production of antifungal metabolites effectively to control Fusarium wilt of cotton, caused by Fusarium oxysporum f. sp. vasinfectum (Fov). In this study, we used integrated statistical experimental design methods to investigate the optimized liquid fermentation medium components of XN-04, which can significantly increase the antifungal activity and biomass of XN-04. Seven variables, including soluble starch, KNO(3), soybean cake powder, K(2)HPO(4), MgSO(4)·7H(2)O, CaCO(3) and FeSO(4)·7H(2)O, were identified as the best ingredients based on one-factor-at-a-time (OFAT) method. The results of Plackett–Burman Design (PBD) showed that soluble starch, soybean cake powder and K(2)HPO(4) were the most significant variables among the seven variables. The steepest climbing experiment and response surface methodology (RSM) were performed to determine the interactions among these three variables and fine-tune the concentrations. The optimal compositions of medium were as follows: soluble starch (26.26 g/L), KNO(3) (1.00 g/L), soybean cake powder (23.54 g/L), K(2)HPO(4) (0.27 g/L), MgSO(4)·7H(2)O (0.50 g/L), CaCO(3) (1.00 g/L) and FeSO(4)·7H(2)O (0.10 g/L). A verification experiment was then carried out under the optimized conditions, and the results revealed the mycelial dry weight of S. alfalfae XN-04 reaching 6.61 g/L. Compared with the initial medium, a 7.47-fold increase in the biomass was achieved using the optimized medium. Moreover, the active ingredient was purified from the methanol extract of S. alfalfae XN-04 mycelium and then identified as roflamycoin (a polyene macrolide antibiotic). The results may provide new insights into the development of S. alfalfae XN-04 fermentation process and the control of the Fusarium wilt of cotton and other plant diseases. MDPI 2022-09-16 /pmc/articles/PMC9501596/ /pubmed/36144456 http://dx.doi.org/10.3390/microorganisms10091854 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Chen, Jing Lan, Xingjie Jia, Ruimin Hu, Lifang Wang, Yang Response Surface Methodology (RSM) Mediated Optimization of Medium Components for Mycelial Growth and Metabolites Production of Streptomyces alfalfae XN-04 |
title | Response Surface Methodology (RSM) Mediated Optimization of Medium Components for Mycelial Growth and Metabolites Production of Streptomyces alfalfae XN-04 |
title_full | Response Surface Methodology (RSM) Mediated Optimization of Medium Components for Mycelial Growth and Metabolites Production of Streptomyces alfalfae XN-04 |
title_fullStr | Response Surface Methodology (RSM) Mediated Optimization of Medium Components for Mycelial Growth and Metabolites Production of Streptomyces alfalfae XN-04 |
title_full_unstemmed | Response Surface Methodology (RSM) Mediated Optimization of Medium Components for Mycelial Growth and Metabolites Production of Streptomyces alfalfae XN-04 |
title_short | Response Surface Methodology (RSM) Mediated Optimization of Medium Components for Mycelial Growth and Metabolites Production of Streptomyces alfalfae XN-04 |
title_sort | response surface methodology (rsm) mediated optimization of medium components for mycelial growth and metabolites production of streptomyces alfalfae xn-04 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9501596/ https://www.ncbi.nlm.nih.gov/pubmed/36144456 http://dx.doi.org/10.3390/microorganisms10091854 |
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