Statistical optimization of medium constituents and conditions for improved antimicrobial compound production by marine Streptomyces sp. JRG-04

Authors

  • Govindarajan Ganesan Department of Molecular Microbiology, School of Biotechnology, Madurai Kamaraj University, Madurai 625021 http://orcid.org/0000-0002-2894-2222
  • Satheeja Santhi Velayudhan Department of Molecular Microbiology, School of Biotechnology, Madurai Kamaraj University, Madurai 625021
  • Jebakumar Solomon Robinson David Department of Molecular Microbiology, School of Biotechnology, Madurai Kamaraj University, Madurai 625021

Keywords:

marine Streptomyces, medium optimization, central composite design, response surface methodology

Abstract

A recently isolated Streptomyces sp. JRG-04 from a mangrove estuary was identified as a producer of a broad-spectrum antimicrobial compound against various pathogens, including multidrug resistant (MDR) pathogens, with no cytotoxic effect on H9C2 cells. In this study, the concentrations of various nutrient factors and culture conditions were optimized by both classical and statistical methods for an improved titer of the antimicrobial compound production. Among nutrient factors, carbon and nitrogen sources such as maltose and yeast extract stimulated the production of the antimicrobial compound with the highest titer. The production medium, with a pH 7.5 at 28°C, promoted increased antimicrobial compound production. All non-statistically optimized nutrients and environmental conditions were used for subsequent statistical optimization using a Plackett-Burman design (PBD) and response surface methodology (RSM). Maltose, yeast extract and the inorganic salt NH4Cl were found to be significant components for antimicrobial compound production by the PBD method. Interactions between important variables were evaluated using central composite design (CCD) of response surface methodology. The final optimized medium (L-1) contained: 10 g maltose, 2.9 g Na2HPO4, 2.3 g KH2PO4, 1 g NH4Cl, 0.5 g MgSO4×7H2O, 0.002 g FeSO4, 0.5 g CaCO3, 5.25 g yeast extract and trace elements in 5.0 mL salt solution (0.1 g ZnSO4×7H2O, 0.3 g H3BO3, 0.2 g COCl2×6H2O, 0.03 g MnCl2 4H2O, 0.03 g Na2MO4×2H2O, 0.02 g NiCl2×6H2O, 0.01 g CuCl2×2H2O). The medium provided an overall 42.8% increase in antibiotic activity when compared to the unoptimized medium, from 140.57±0.80 to 210.33±0.57 U/mL.

https://doi.org/10.2298/ABS170224019G

Received: February 24, 2017; Revised: April 12, 2017; Accepted: May 17, 2017; Published online: June 22; 2017

How to cite this article: Ganesan G, Velayudhan SS, Solomon Robinson David J. Statistical optimization of medium constituents and conditions for improved antimicrobial compound production by marine Streptomyces sp. JRG-04. Arch Biol Sci. 2017;69(4):723-31.

Downloads

Download data is not yet available.

References

Bibb MJ. Regulation of secondary metabolism in streptomycetes. Curr Opin Microbiol. 2005;8(2):208-15.

Kuster E. Taxonomy of soil actinomycetes and related organisms. In: Gray S, Parkinson T, editors. Ecology of soil bacteria. Liverpool: Liverpool University Press; 1968.

Hunter JC, Eveleigh DE, Cassalä G. Actinomycetes of a salt marsh. In: Schaal KP, Pulverer G, editors. Actinomycetes Zentralbl Bacteriol Microbial Hyg. Stuttgurt: Fisher-Verlag; 1981. p.195-200.

Srinivasan MC, Laxman RS, Deshpande MV. Physiology and nutrition aspects of actinomycetes - An overview. World J Microbiol Biotechnol. 1991;7(2):171-84.

Jose PA, Jebakumar SRD. Successive non-statistical and statistical approaches for the improved antibacterial activity of rare actinomycete Nonomuraea sp. JAJ18. BioMed Res Int. 2014;2014:906097.

Watve MG, Tichoo R, Jog MM, Bhole BD. How many antibiotics are produced by the genus Streptomyces. Arch Microbiol. 2001;176(5):386-90.

Gövindarajan G, Santhi VS, Jebakumar SRD. Antimicrobial potential of phylogenetically unique actinomycete, Streptomyces sp. JRG-04 from marine origin. Biologicals. 2014;42(6):305-11.

Tripathi CKM, Praveen V, Singh V, Bihari V. Production of antibacterial and antifungal metabolites Streptomyces violaceusniger and media optimization studies for the maximum metabolite production. Med Chem Res. 2004;13(8):790-99.

Radhakrishnan M, Gopikrishnan V, Balagurunathan R, Vanaja K. Effect of critical medium components and culture conditions on antitubercular pigment production from novel Streptomyces sp D25 isolated from Thar desert. J App Pharm Sci. 2015;5(6):15-9.

Haaländ PD. Experimental design in biotechnology. New York: Marcel Dekker; 1989.

Xiaöbö Z, Haiying W, Linyu H, Yongcheng L, Zhongtao L. Medium optimization of carbon and nitrogen sources for the production of eucalyptene A and xyloketal A from Xylaria sp. 2508 using response surface methodology. Process Biochem. 2006;41(2):293-8.

Mao X, Shen Y, Yang L, Chen S, Yang Y, Yang J. Optimizing the medium compositions for accumulation of the novel FR-008/ Candicidin derivatives CS101 by a mutant of Streptomyces sp. using statistical experimental methods. Process Biochem. 2007;42(5):878-83.

Bundale S, Begde D, Nashikkar N, Kadam T, Upadhyay A. Optimization of Culture Conditions for Production of Bioactive Metabolites by Streptomyces spp. Isolated from Soil Adv Microbiol. 2015; 5(6):441-51.

Adinarayana K, Ellaiah P, Sriniväsulu B, Devi RB, Adinarayana G. Response surface methodological approach to optimize the nutritional parameters for neomycin production by Streptomyces marinensis under solid-state fermentation. Process Biochem. 2003;38(11):1565-72.

Singh V, Khan M, Khan S, Tripathi CKM. Optimization of actinomycin V production by Streptomyces triostinicus using artificial neural network and genetic algorithm. Appl Microbiol Biotechnol. 2009;82(2):379-85

Box GEP, Hunter WG, Hunter JS. Statistics for experiments. New York: Willey; 1978. p 291-34.

Bystrykh LV, Fernandez-Moreno MA, Herrema JK, Malpartidä F, Hopwoođ DA, Dijkhuizen L. Production of actinorhodin-related blue pigments by Streptomyces coelicolor A3(2). J Bacteriol. 1996; 178(8):2238-44.

Bauer A, Kirby WM, Sherris JC, Turck M. Antibiotic susceptibility testing by a standardized single disk method. Am J Clinl Pathol. 1966;45(4):493-96.

Maxwell PW, Chen G, Webster JM, Dunphy GB. Stability and activities of antibiotics produced during infection of the insect Galleria mellonella by two isolates of Xenorhabdus nematophilus. Appl Environ Microbiol.1994;60(2):715-21.

Wang Y, Fang X, An F, Wang G, Zhang X. Improvement of antibiotic activity of Xenorhabdus bovienii by medium optimization using response surface methodology. Microb Cell Fact. 2011;10:98.

Jose PA, Sivakälä KK, Jebakumar SRD. Formulation and statistical optimization of culture medium for improved production of antimicrobial compound by Streptomyces sp. JAJ06. Int J Microbiol. 2013;2013:526260.

Levin L, Forchiassin F, Viale A. Ligninolytic enzyme production and dye declorization by Trametestrogii: application of the Plackett-Burman experimental design to evaluate nutritional requirements. Process Biochem. 2005;40:1381-7.

Wang YH, Li YP, Zhang Q, Zhang X. Enhanced antibiotic activity of Xenorhabdus nematophila by medium optimization. Bioresour Technol. 2008;99:1708-15.

Pathak L, Singh V, Niwas R, Osama K, Khan S, Haque S, Tripathi CK, Mishra BN. Artificial intelligence versus statistical modeling and optimization of cholesterol oxidase production by using Streptomyces sp. PLoS One. 2015;10:e0137268.

Rateb ME, Yu Z, Yan Y, Yang D, Huang T, Vodanovic-Jankovic S, Kron MA, Shen B. Medium optimization of Streptomyces sp. 17944 for tirandamycin B production and isolation and structural elucidation of tirandamycins H, I and J. J. Antibiot. 2014;67:127-32.

Bhavana M, Talluri VP, Kumar KS, Rajagopal SV. Optimization of culture conditions of Streptomyces carpaticus (mtcc-11062) for the production of antimicrobial compound. Int J Pharm Pharm Sci. 2014;6:281-5.

Oskay M. Antifungal and antibacterial compounds from Streptomyces strains. Afr J Biotechnol. 2009; 8:3007-17.

Ripa FA, Nikkon F, Zaman S, Khondkar P. Optimal conditions for antimicrobial metabolites production from a new Streptomyces sp. RUPA-08PR isolated from Bangladeshi soil. Mycobiol. 2009;37(3):211-4.

Narayana KJP, Vijayaläkshmi M. Optimization of antimicrobial metabolites production by Streptomyces albidoflavus. Res J Pharmacol. 2008;2(1):4-7.

Voelker F, Altaba S. Nitrogen source governs the patterns of growth and pristinamycin production in Streptomyces pristinaespiralis. Microbiol. 2001;147:2447-59.

Chuan-He Z, Fu-Ping L, Ya-Nan H, Juan- Kun Z, Lian-Xiang D. Statistical optimization of medium components for avilamycin production by Streptomyces viridochromogenes Tu¨57-1 using response surface methodology. J Ind Microbiol Biotechnol. 2007;34:271-8.

Chen XC, Bai JX, Cao JM. Medium optimization for the production of cyclic adenosine 3',5'-monophosphate by Microbacterium sp. No. 205 using response surface methodology. Biores Technol. 2009;100(2):919-24.

Li XY, Liu ZQ, Chi ZM. Production of phytase by a marine yeast Kodamaea ohmeri BG3 in an oats medium: Optimization by response surface methodology. Bioresour Technol. 2008;99(14):6386-90.

Downloads

Published

2017-10-18

How to Cite

1.
Ganesan G, Velayudhan SS, Solomon Robinson David J. Statistical optimization of medium constituents and conditions for improved antimicrobial compound production by marine Streptomyces sp. JRG-04. Arch Biol Sci [Internet]. 2017Oct.18 [cited 2024Dec.22];69(4):723-31. Available from: https://serbiosoc.org.rs/arch/index.php/abs/article/view/1509

Issue

Section

Articles