Statistical optimization of process variables for antibiotic activity of Xenorhabdus bovienii

The production of secondary metabolites with antibiotic properties is a common characteristic to entomopathogenic bacteria Xenorhabdus spp. These metabolites not only have diverse chemical structures but also have a wide range of bioactivities of medicinal and agricultural interests. Culture variabl...

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Bibliographic Details
Published in:PloS one 2012-06, Vol.7 (6), p.e38421-e38421
Main Authors: Fang, Xiang-Ling, Han, Li-Rong, Cao, Xue-Qiang, Zhu, Ming-Xuan, Zhang, Xing, Wang, Yong-Hong
Format: Article
Language:English
Subjects:
Analysis of Variance
Animals
Anti-Bacterial Agents - biosynthesis
Antibiotics
Antimicrobial agents
Aspergillus
Bacteria
Biological Factors - biosynthesis
Biology
Biosynthesis
China
Culture Media - chemistry
Enterobacteriaceae
Enzymes
Galleria mellonella
Genomes
Hydrogen ions
Hydrogen-Ion Concentration
Industrial Microbiology - methods
Industrial Microbiology - statistics & numerical data
Inoculation
Metabolites
Microorganisms
Models, Statistical
Mutualism
Natural products
Nematoda - microbiology
Optimization
Pathogenesis
Penicillium
Pesticides
pH effects
Photorhabdus
Physiological aspects
Phytophthora
Plant metabolites
Process variables
R&D
Research & development
Response surface methodology
Secondary metabolites
Signal transduction
Statistical analysis
Statistics
Temperature
Temperature effects
Xenorhabdus
Xenorhabdus - metabolism
Xenorhabdus nematophila
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Summary:The production of secondary metabolites with antibiotic properties is a common characteristic to entomopathogenic bacteria Xenorhabdus spp. These metabolites not only have diverse chemical structures but also have a wide range of bioactivities of medicinal and agricultural interests. Culture variables are critical to the production of secondary metabolites of microorganisms. Manipulating culture process variables can promote secondary metabolite biosynthesis and thus facilitate the discovery of novel natural products. This work was conducted to evaluate the effects of five process variables (initial pH, medium volume, rotary speed, temperature, and inoculation volume) on the antibiotic production of Xenorhabdus bovienii YL002 using response surface methodology. A 2(5-1) factorial central composite design was chosen to determine the combined effects of the five variables, and to design a minimum number of experiments. The experimental and predicted antibiotic activity of X. bovienii YL002 was in close agreement. Statistical analysis of the results showed that initial pH, medium volume, rotary speed and temperature had a significant effect (P
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0038421