OPTIMIZATION OF MEDIUM COMPONENTS FOR ANTIBACTERIAL METABOLITE PRODUCTION FROM MARINE STREPTOMYCES SP. PUA2 USING RESPONSE SURFACE METHODOLOGY
Keywords:Antibacterial activity, Marine actinobacteria, Central Composite Design, Plackett Burmann design, Response surface methodology
Objective: The present study is an attempt to optimize the fermentation conditions for the antibacterial compound production from a newly isolated marine Streptomyces strain PUA2 by adopting response surface methodology as the statistical tool.
Methods: Prior to using the Response Surface Methodology, Plackett Burmann (PB) design was used to explore the effect of variables on the antibacterial compound production. In PB method, high and low values were assigned for the eight variables viz., glucose, glycerol, soybean meal, manganese chloride, calcium carbonate, peptone and pH. Calcium carbonate and peptone were used as dummy variables. Based on the results of combined effects glycerol, soybean meal, manganese chloride and pH were investigated by 24 full-factorial central composite design.
Results: The results of PB method showed the significant effect of glycerol, soybean meal, manganese chloride and pH on the antibacterial compound production. The results of ANOVA and regression of second order model showed that the linear effects of glycerol and manganese chloride and cross products effects of manganese chloride and pH were more significant. All the critical variables having greatest effect on the production of antibacterial compound from marine Streptomyces species PUA2. Optimization of process parameters resulted in increase in antibacterial activity from 7 mm to 14 mm.
Conclusion: The factors optimized in the present study were useful for the increased production of antibacterial metabolite from Streptomyces sp PUA2. The result confirms the feasibility of medium optimization to improve antibiotic production.
Lam KS. Discovery of novel metabolite from marine actinomycetes, Current Opinion in Microbiology 2006;9:245-51.
Radhakrishnan M, Balagurunathan R, Selva Kumar N, Doble M, Vanaja Kumar. Bioprospecting of marine derived actinomycetes with special reference to antimycobacterial activity, Indian J Geo-Marine Sci 2011;40(3):407-10.
Williams, P.G, Panning the chemical gold:marine bacteria as a source of new therapeutics. Trends Biotechnol 2009;27:45-52.
Ripa FA, Nikkon F, Zaman S, Khondkar P. Optimal conditions for antimicrobial metabolites production from a new Streptomyces sp.RUPA-08PR isolated from Bangladesh soil. Mycobiology 2009;37(3):211-14.
Kiranmayi MU, Sudhakar P, Sreenivasulu K, Vijayalakshmi M. Optimization of culturing conditions for improved production of bioactive metabolites by Pseudonocardia sp. VUK-10. Mycobiology 2011;39(3):174-81.
Song Q, Huang Y, Yang H. Optimization of fermentation conditions for antibiotic production by actinomycetes YJ1 strain against Sclerotinia sclerotiorum. J Agri Sci 2012;4(7):95-102.
Prakasham RS, Subba Rao R, Sreenivas Rao R, Rajesham S, Sarma PN. Optimization of alkaline protease production by Bacillus sp. using Taguchi methodology. Applied Biochemistry and Biotechnology 2005;120:133-44.
Conley W. Computer Optimization Techniques. Revised ed. Petrocelli Books:Princeton NJ, 1984;147-63.
Yasser R, Abdel-Fattah, Saeed HM, Gohar YM, El-Baz MA. Improved production of Pseudomonas aeruginosa uricase by optimization of process parameters through statistical experimental designs. Process Biochemistry 2005;40(5):1707-714.
Box GEP, Hunter WG, Hunter JS, Statistics for Experimenters. An Introduction to Design, Data Analysis and Model Building, New York:John Wiley and Sons, 1978.
Shekar P, Anuradha J, Radhakrishnan M, Balagurunathan R. Effect of critical medium components on antimicrobial compound production from marine Streptomyces species(A2) by one factor at a time method. J Chem Pharm 2011;3(6):872-76.
Bashir ZM, Ahmad A, Nor SM, Usup G. Factors affecting bioactivity of secondary metabolites produced by Streptomyces sp. PT1 using Plackett-Burman design. Advance in Environmental Biology 2012;6(12):3043-51.
Vijayakumar R, Paneerselvam K, Muthukumar C, Thajuddin N, Paneerselvam A, Saravanamuthu R. Optimization of antimicrobial production by a marine actinomycete Streptomyces afghaniensis VPTS3-1 isolated from Palk Strait, East Coast of India. Indian J Microbiol 2012;52(2):230-39.
Jian Z, Fa GN. Application of response surface methodology in medium optimization for pyruvic acid production of Torulopsis glabrata TP19 in batch fermentation. Journal of Zhejiang University SCIENCE B 2007;8(2):98-104.
Sharma D, Manhas RK. Application of Plackettâ€“Burman experimental design and Box and Wilson design to improve broad-spectrum antimicrobial compound. Indian Journal of Biotechnology 2013;12:386-94.
Anuradha Jabasingh S, Valli Nachiyar C. A new combinational statistical approach for cellulase optimization in Aspergillus nidulans. Indian Journal of Science and Technology, 2010;3(8):871-78.
El-Sersy NA, Abd-Elnaby H, Abou-Elela GM, Hibrahin HA, EI-Toukhy NMK. Optimization, economization and characterization of cellulase produced by marine Streptomyces ruber. African Journal of Biotechnology 2010;9(38):6355-364.
Liu GQ, Wang XL. Optimization of critical medium components using response surface methodology for biomass and extracellular polysaccharide production by Agaricus blazei. Appl Microbiol Biotechnol 2007;74:78-83.
Khuri AI, Cornell JA. Response Surfaces:designs and analysis, Marcel Decker, New York, NY, USA, 1987.
Himabindu M, Ravichandra P, Vishalakshi K, Jetty A. Optimization of critical medium components for the maximal production of Gentamicin by Micromonospora echinospora ATCC 15838 using Response Surface Methodology. Applied Biochemistry and Biotechnology 2006;134:143-53.
Anuradha Jabasingh S, Pavithra G. Response surface approach for the biosorption of Cr6+ ions by Mucor racemosus Cleanâ€”Soil Air Water 2010;38(5-6):492â€“99.
Shi LE, Qing G, Zhang XY, Tang ZX, Chen JS, Xiong WY, Liu HZ. Medium optimization for 5â€™-phosphodiesterase production from Penicillium citrinum using Response Surface Methodology. Food Technol Biotechnol 2007;45(2):126-33.
Jia B, Jin ZH, Mei LH. Medium optimization based on statistical methodologies for Pristinamycins production by Streptomyces pristinaespiralis. Appl Biochem Biotechnol 2008;144:133-43.
Haaland PD, Experimental design in Biotechnology, New York:Marcel Dekker;separating signals from the noise, 61â€“83;1989.
Cao Y, Meng DJ, Lu J, Long J. Statistical optimization of xylanase production by Aspergillus niger AN-13 under submerged fermentation using response surface methodology. African Journal of Biotechnology 2008;7(5):631-38.
Song S, Wei R, Zhang B, Wang D. optimization of the antibacterial activity of half-fin anchovy (setipinna taty) hydrolysates. Food Bioprocess Technol 2012;5:1979-989.
Amanda S, Motta, Brandelli A. Evaluation of environment conditions for productions of bacteriocin-like substance by Bacillus sp. strain P34. World J Microbiol Biotechnol 2008;24:641-46.
Anuradha Jabasingh S, Valli Nachiyar C. Optimization of cellulase synthesis by RSM and evaluation of ethanol production from enzymatically hydrolysed sugarcane bagasse using Saccharomyces cerevisiae. J Scientific and Industrial Res 2012;71:353-59.
Wang YH, Feng JT, Zhang Q, Zhang X. Optimization of fermentation condition for antibiotic production by Xenorhabdus nematophila with Response Surface Methodology. J Applied Microbiology 2008;104:735-44.
Anuradha Jabasingh S. Optimization and kinetics of cellulase immobilization on modified chitin using Response Surface Methodology. Adsorption Science & Technology 2011;29(9):897-915.
Anuradha Jabasingh S, Varma S, Pavithra G. Response Surface Methodology for the evaluation and comparison of cellulase production by Aspergillus nidulans SU04 and Aspergillus nidulans MTCC 344 cultivated on pretreated suguarcane bagasse. Chemical and Biochemical Engineering Quarterly 2014;28(1):127-35.
Anuradha Jabasingh S. Utilization of pretreated coir pith for the optimized bioproduction of cellulose by Aspergillus nidulans. International Biodeterioration & Biodegradation, 2011;65:1150-60.