ABSTRACT
Bioactive metabolite production by marine Saccharothrix flava VSM-3was modeled by response surface methodology(RSM) statistical optimization, and kinetic parameter estimation was executed using unstructured models to depict theimportance of growth-associated metabolite production. RSM-based optimization of the variables and their interactionswas analyzed where the modeled data and experimental data are in concurrence and better responses were yieldedin terms of inhibition zones for active metabolite with good regression coefficients. The regression model developedthe significance of five variables and their influence on the bioactive metabolite production and its effect against theresponses. Logistic, Luedeking–Piret equations were used for batch fermentation to produce bioactive metabolites byS. flava VSM-3, where the anticipated parameter data followed experimental data. Chemotype (using ethyl acetateextract) analysis of actinobacterial isolate S. flava was elucidated for the first time by liquid chromatography quadrupoletime-of-flight mass spectrometry (LC-QTOF-MS) analysis. The main compounds identified in the positive ion modewere 7-Deazaadenosine, 5-Hydroxy-9-Methylstreptimidone, Amiclenomycin, Dihydroabikoviromycin, EpopromycinA, OAP Silane 55 and MKN-003B. In the present study, maritime silt specimen of Bay of Bengal comprising S. flavaVSM-3 recorded prominent broad-spectrum activity against various plant pathogens and LC-QTOF-MS data alsosupported VSM-3 was the most active strain. This study also reveals that under-explored Bay of Bengal of northcoastal Andhra Pradesh should be continuously explored for extracting bioactive compounds from diverse strains.