Isolation, identification, optimization, and metabolite profiling of Streptomyces sparsus VSM-30

Managamuri, Ushakiranmayi; Vijayalakshmi, M.; Ganduri, V. S. Rama Krishna; Rajulapati, Satish Babu; Bonigala, Bodaiah; Kalyani, B.; Poda, Sudhakar

doi:10.1007/s13205-017-0835-1

Cited by 21 publications

(14 citation statements)

References 53 publications

(40 reference statements)

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“…Experimental design, which is the general name used for such practices, or statistical techniques derived from it, i.e., response surface methodology (RSM), have been successfully used to increase production of various bioactive SMs from both marine bacterial and fungi. Examples of where RSM has been successfully employed include optimization of antibacterial, antifungal, and antioxidant activities in the deep sea-derived marine actinomycete Streptomyces sparsus VSM-30; allowing the subsequent identification of a variety of diverse SMs in ethyl acetate extracts [ 148 ]. In addition, RSM has been used to optimize antimicrobial metabolite production by up to 3.86-fold, in Micromonospora sp.…”

Section: High Throughput Methods To Streamline Cultivation Based Bmentioning

confidence: 99%

Extending the “One Strain Many Compounds” (OSMAC) Principle to Marine Microorganisms

et al. 2018

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Genomic data often highlights an inconsistency between the number of gene clusters identified using bioinformatic approaches as potentially producing secondary metabolites and the actual number of chemically characterized secondary metabolites produced by any given microorganism. Such gene clusters are generally considered as “silent”, meaning that they are not expressed under laboratory conditions. Triggering expression of these “silent” clusters could result in unlocking the chemical diversity they control, allowing the discovery of novel molecules of both medical and biotechnological interest. Therefore, both genetic and cultivation-based techniques have been developed aimed at stimulating expression of these “silent” genes. The principles behind the cultivation based approaches have been conceptualized in the “one strain many compounds” (OSMAC) framework, which underlines how a single strain can produce different molecules when grown under different environmental conditions. Parameters such as, nutrient content, temperature, and rate of aeration can be easily changed, altering the global physiology of a microbial strain and in turn significantly affecting its secondary metabolism. As a direct extension of such approaches, co-cultivation strategies and the addition of chemical elicitors have also been used as cues to activate “silent” clusters. In this review, we aim to provide a focused and comprehensive overview of these strategies as they pertain to marine microbes. Moreover, we underline how changes in some parameters which have provided important results in terrestrial microbes, but which have rarely been considered in marine microorganisms, may represent additional strategies to awaken “silent” gene clusters in marine microbes. Unfortunately, the empirical nature of the OSMAC approach forces scientists to perform extensive laboratory experiments. Nevertheless, we believe that some computation and experimental based techniques which are used in other disciplines, and which we discuss; could be effectively employed to help streamline the OSMAC based approaches. We believe that natural products discovery in marine microorganisms would be greatly aided through the integration of basic microbiological approaches, computational methods, and technological innovations, thereby helping unearth much of the as yet untapped potential of these microorganisms.

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Section: High Throughput Methods To Streamline Cultivation Based Bmentioning

confidence: 99%

Extending the “One Strain Many Compounds” (OSMAC) Principle to Marine Microorganisms

et al. 2018

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“…SYYLWHS-1-4 [ 18 ]. Therefore, RSM strategies to maximize the yields of bioactive metabolites are necessary [ 19 ].…”

Section: Introductionmentioning

confidence: 99%

Optimization of fermentation conditions through response surface methodology for enhanced antibacterial metabolite production by Streptomyces sp. 1-14 from cassava rhizosphere

et al. 2018

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Streptomyces species 1–14 isolated from cassava rhizosphere soil were evaluated for their antibacterial efficacy against Fusarium oxysporum f.sp. cubense race 4 (FOC4). Of the 63 strains tested, thirteen exhibited potent antibacterial properties and were further screened against eight fungal pathogens. The strain that showed maximum inhibition against all of the test pathogens was identified by 16S rDNA sequencing as Streptomyces sp. 1–14, was selected for further studies. Through the propagation of Streptomyces sp. 1–14 in soil under simulated conditions, we found that FOC4 did not significantly influence the multiplication and survival of Streptomyces sp. 1–14, while indigenous microorganisms in the soil did significantly influence Streptomyces sp. 1–14 populations. To achieve maximum metabolite production, the growth of Streptomyces 1–14 was optimized through response surface methodology employing Plackett-Burman design, path of steepest ascent determinations and Box-Behnken design. The final optimized fermentation conditions (g/L) included: glucose, 38.877; CaCl2•2H2O, 0.161; temperature, 29.97°C; and inoculation amount, 8.93%. This optimization resulted in an antibacterial activity of 56.13% against FOC4, which was 12.33% higher than that before optimization (43.80%). The results obtained using response surface methodology to optimize the fermentation medium had a significant effect on the production of bioactive metabolites by Streptomyces sp. 1–14. Moreover, during fermentation and storage, pH, light, storage temperature, etc., must be closely monitored to reduce the formation of fermentation products with reduced antibacterial activity. This method is useful for further investigations of the production of anti-FOC4 substances, and could be used to develop bio-control agents to suppress or control banana fusarium wilt.

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“…Use of statistical-based approaches, such as response surface methodology (RSM), could overcome the limitations of the single-factor optimization process. Also, the RSM-based approach requires fewer trials to calculate the different variables and their interactions, compared to other optimization methods (Managamuri et al 2017;Peng et al 2018).…”

Section: Statistical Optimization For Urease Productionmentioning

confidence: 99%

Optimization of urease production by Bacillus halodurans PO15: a mangrove bacterium from Poovar mangroves, India

Nathan

Jasna

Parvathi

2020

Mar Life Sci Technol

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Mangrove ecosystems are one of the most versatile habitats for microorganisms with a high potential for producing a variety of extracellular hydrolytic enzymes. In this study, bacteria with urease activity, enzymes that catalyze the hydrolysis of urea into carbon dioxide and ammonia, were isolated from mangrove sediments of Poovar (Trivandrum, India). Bacillus halodurans, strain PO15, isolated in this study with high urease (UA) activity (28 U/ml) was subjected to optimization using a Box-Behnken experimental design. Incubation variables included incubation period, pH, inoculation percentage and temperature. Significant factors identified based on the model were incubation period, pH, incubation temperature, and inoculum percentage; variations in these produced a tenfold increase in UA activity (295.80 U/ml). The specific activity of the purified UA enzyme was 62.34 U/mg and was found to be thermostable (active up to 60 °C). UA of B. halodurans PO15 has potential for microbial-induced biomineralization with a reduction of free Ca 2+ to about 82.8% ± 0.17%. The microbialinduced calcium precipitation (MICP) using the UA enzyme will potentially be beneficial in the process of biomineralization as well as for a variety of industrial applications.

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Isolation, identification, optimization, and metabolite profiling of Streptomyces sparsus VSM-30

Cited by 21 publications

References 53 publications

Extending the “One Strain Many Compounds” (OSMAC) Principle to Marine Microorganisms

Extending the “One Strain Many Compounds” (OSMAC) Principle to Marine Microorganisms

Optimization of fermentation conditions through response surface methodology for enhanced antibacterial metabolite production by Streptomyces sp. 1-14 from cassava rhizosphere

Optimization of urease production by Bacillus halodurans PO15: a mangrove bacterium from Poovar mangroves, India

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