Optimal Model Design for High Production of Phenazine-1-Caboxylic Acid (PCA) by Pseudomas. spp M18G
- VernacularTitle:高产吩嗪-1-羧酸(PCA)假单胞菌株M18G发酵优化模型的构建
- Author:
Ya-Qian LI
;
Hai-Xia JIANG
;
Xue-Hong ZHANG
;
Yu-Quan XU
;
- Publication Type:Journal Article
- Keywords:
Phenazine-1-carboxylic acid M18G Response Surface Method Fermentation model
- From:
China Biotechnology
2006;0(06):-
- CountryChina
- Language:Chinese
-
Abstract:
Phenazine-1-carboxylic acid(PCA)is one of the major antifungal compounds produced by plant growth-promoting rhizosphere(PGPR)pseudomonads and has been shown to contribute to the biological control of soil-borne plant pathogens.Model on secondary metabolite phenazine-1-carboxylic acid(PCA)fermentation nutrition conditions of gacA inactivate mutant Pseudomonas sp.M18G was constructed by Plackett-Burman design(PB)and Response Surface Method(RSM).In PB design four key components selected from 12 different factors have shown to play an important role for promoting PCA production.Center Composite Design(CCD)was adopted to establish a fermentation model for the four nutrition components using RSM.The optimal concentration of the four components based on analysis of regression equation were determined that soybean meal 33.4 g/L,glucose 12.7 g/L,soy peptone10.9 g/L,ethanol13.8 g/L,and the highest PCA production could reached 1.89 g/L after 60h fermentation and the yield increased to 6 fold over that before optimization.The contour graphs depicted interactions of the two nutrition components showed that soybean meal and ethanol played an even more crucial role for the highest production of PCA in fermentation.It establishes a method for high PCA production and lays a foundation for the further PCA commercial development.
