Hydrolytic and Transglycolation Characteristics of Xanthomonas campestris and Bacillus megaterium in Several Substrates

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Abstract

Some microbes can produce hydrolytic enzymes and have transglycosylation capacity at the same time, including Xanthomonas campestris and Bacillus megaterium. The enzyme characteristics of the microbes can be observed from their activity by using several types of substrates. This research aimed to characterize the hydrolytic and transglycosylated CGTase enzyme activity from Xanthomonas campestris and Bacillus megaterium on glucose, tapioca, and corn starch media at several concentrations. Stages of research included bacterial rejuvenation, growth on the substrate, and analysis (hydrolytic activity, carbohydrate concentration, and transglycosylation activity). The research design used was a Completely Randomised Design (CRD). The data from observations were then analyzed using Analysis of Variance (ANOVA) with the Duncan Multiple Range Test (DMRT) at a 5% level to determine the effect of treatment on all observational variables. Data analysis was carried out using the SPSS Statistics 17.0 program. The analysis results showed Xanthomonas campestris and Bacillus megaterium with tapioca and cornstarch substrates of 2%, 4%, and 6%, respectively, had hydrolytic activity. CGTase enzymes produced from Xanthomonas campestris and Bacillus megaterium with glucose, tapioca, and corn starch substrates 2%, 4%, and 6%, had intramolecular transglycosylation activity. The CGTase hydrolytic activity test's analysis showed that the CGTase hydrolytic test's significance value was significantly different between treatments with an incubation time of 24 to 120 hours. The substrate, a carbon source, greatly influences the rate of enzyme production produced by microorganisms.

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Herawati, H., Kamsiati, E., Sunarmani, Munarso, S. J., Supriyatna, I., & Aminingsih, T. (2021). Hydrolytic and Transglycolation Characteristics of Xanthomonas campestris and Bacillus megaterium in Several Substrates. International Journal on Advanced Science, Engineering and Information Technology, 11(1), 172–178. https://doi.org/10.18517/ijaseit.11.1.12403

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