Modeling and Statistical Optimization of Culture Conditions for Improvement of Antifungal Compounds Production by S19 Strain of Wastewater Origin.

Background: The actinomycetes strains isolated from unexplored ecosystems are a promising alternative for the biosynthesis of novel antimicrobial compounds. Depending on the interesting antifungal activity of the studied strain S19, the statistical method seems to be an effective tool for optimizing the production of anticandidal molecules.

Introduction: This study was conducted in order to optimize the culture parameters (medium nutrients concentrations and initial pH value) affecting the production of antifungal metabolites from S.

Modeling improved production of the chemotherapeutic polypeptide actinomycin D by a novel sp. strain from a Saharan soil.

The novel bioactive actinobacterial strain GSBNT10 obtained from a Saharan soil, was taxonomically characterized using a polyphasic approach. 16S rRNA gene sequence analysis supported the classification of the isolate within the genus indicating it as a novel species. The major metabolite responsible of the bioactivity was purified and structurally characterized as actinomycin D (act-D) by mass spectrometric and nuclear magnetic resonance analyses Plackett-Burman design (PBD) and response surface methodology (RSM) were applied in order to optimize the medium formulation for the production of this bioactive metabolite.

Streptomyces thermoviolaceus SRC3 strain as a novel source of the antibiotic adjuvant streptazolin: A statistical approach toward the optimized production.

Streptomyces thermoviolaceus SRC3, a newly isolated actinobacterial strain from Algerian river sediments, exhibited a broad activity against various bacterial and yeast human pathogens (Salmonella Typhi ATCC 14028, Vibrio cholerae ATCC 14035, MRSA ATCC 43300 and Candida albicans ATCC 10231). The strain SRC3 was selected from thirty nine actinobacterial isolates and identified as S. thermoviolaceus based on morphology, cultural properties, physiological analyses and 16S rRNA gene sequencing.