Phycobiliproteins from Anabaena variabilis CCC421 and its production enhancement strategies using combinatory evolutionary algorithm approach

Dinesh Kumar Saini; Dinesh Yadav; Sunil Pabbi; Deepak Chhabra; Pratyoosh Shukla

doi:10.1016/j.biortech.2020.123347

Phycobiliproteins from Anabaena variabilis CCC421 and its production enhancement strategies using combinatory evolutionary algorithm approach

Bioresour Technol. 2020 Aug:309:123347. doi: 10.1016/j.biortech.2020.123347. Epub 2020 Apr 8.

Authors

Dinesh Kumar Saini¹, Dinesh Yadav², Sunil Pabbi³, Deepak Chhabra⁴, Pratyoosh Shukla⁵

Affiliations

¹ Enzyme Technology and Protein Bioinformatics Laboratory, Department of Microbiology, Maharshi Dayanand University, Rohtak 124001, Haryana, India; Centre for Conservation and Utilisation of Blue-Green Algae (CCUBGA), Division of Microbiology, ICAR - Indian Agricultural Research Institute, New Delhi 110 012, India.
² Department of Mechanical Engineering, Deenbandhu Chhotu Ram University of Science and Technology, Murthal 131039, Haryana, India; Department of Mechanical Engineering, University Institute of Engineering & Technology, Maharshi Dayanand University, Rohtak 124001, Haryana, India.
³ Centre for Conservation and Utilisation of Blue-Green Algae (CCUBGA), Division of Microbiology, ICAR - Indian Agricultural Research Institute, New Delhi 110 012, India. Electronic address: sunil.pabbi@gmail.com.
⁴ Department of Mechanical Engineering, University Institute of Engineering & Technology, Maharshi Dayanand University, Rohtak 124001, Haryana, India.
⁵ Enzyme Technology and Protein Bioinformatics Laboratory, Department of Microbiology, Maharshi Dayanand University, Rohtak 124001, Haryana, India. Electronic address: pratyoosh.shukla@gmail.com.

PMID: 32334343
DOI: 10.1016/j.biortech.2020.123347

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, K₂HPO₄ 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, K₂HPO₄ 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.

Keywords: Anabaena variabilis; Fuzzy-logic-methodology; Genetic-algorithm (GA); Phycobiliproteins.

MeSH terms

Algorithms
Anabaena variabilis*
Anabaena*
Biological Evolution
Fuzzy Logic
Phycobiliproteins

Substances

Phycobiliproteins