Phycobiliproteins from Anabaena variabilis CCC421 and its production enhancement strategies using combinatory evolutionary algorithm approach. (August 2020) - Kumar Saini, Dinesh
Graphical abstract: Highlights: PBPs from Anabaena variabilis are eco-friendly and non toxic food colorants. PBPs production optimization elucidated with combinatory approach of GA-Fuzzy logic. GA- Fuzzy-logic-methodology enhances the PBPs production up to 2.13 fold. FAC and K2 HPO4 showed significant effect on the PBPs production. Significant PBPs enhancement approach without extra light intensity increase. Abstract: The production of phycobiliproteins (PBPs) from cyanobacteria represents both the industrial application and their commercial value. In this study, the capability of Anabaena variabilis CCC421 for the production of PBPs was evaluated which was further improved by optimization of selected BG-11 medium components viz. FAC, K2 HPO4 and trace metals. A design matrix approach using evolutionary algorithm comprised of genetic-algorithm (GA) and fuzzy-logic-methodology (FLM), i.e., GA-Fuzzy, was used for the optimization. The maximum production of PBPs obtained with combinatory approach of GA-Fuzzy was 408.5 mg/L at an optimum combination of factors (FAC 0.153 g/L, K2 HPO4 0.2 g/L and Trace metals 0.5 ml/L) which was a 2.13 fold more than the control medium. This novel approach is very useful for modulating biological processes since various nutrients and metabolites have greater influence on these processes.