Response Surface Methodology for Optimization of Antagonist Effect of Bacillus sp.

Yıl 2024, Cilt: 5 Sayı: 1, 126 - 132, 30.06.2024

Ecren Uzun Yaylacı

https://doi.org/10.53501/rteufemud.1448254

Öz

The study aimed to optimize bacterial culture conditions to enhance the antagonist effect of B. pumilus PJ_11 on V. vulnificus. The experiment designed by the Box Behnken method showed that the antagonistic effect was highest (26.44 mm) at 30°C, NaCl concentration 2%, and 18 hours. According to the coefficient values of the regression equation, temperature was more effective on the response than other parameters. The combined effect of two variables, temperature and NaCl concentration, was more effective than other combinations. The results showed that the Box-Behnken design was an adequate method to optimize three factors of culture conditions.

Anahtar Kelimeler

Bacillus sp., Response Surface Methodology, Antagonistic effect

Bacillus sp.'nin Antagonist Etkisinin Optimize Edilmesine Yönelik Tepki Yüzey Metodolojisi

Öz

Bu çalışmada, B. pumilus PJ_11'in V. vulnificus üzerindeki antagonist etkisini arttırmak için bakteri kültürü koşullarını optimize etmek amaçladı. Box Behnken yöntemiyle tasarlanan deney, antagonist etkinin 30°C'de, %2 NaCl konsantrasyonunda ve 18. saatte en yüksek (26,44 mm) olduğunu gösterdi. Regresyon denkleminin katsayı değerlerine göre sıcaklığın yanıt üzerinde diğer parametrelere göre daha etkili olduğu belirlendi. İki değişkenin (sıcaklık ve NaCl konsantrasyonu) birleşik etkisinin diğer kombinasyonlardan daha etkili olduğu tespit edildi. Sonuçlar Box-Behnken tasarımının kültür koşullarının üç faktörünü optimize etmek için yeterli bir yöntem olduğunu gösterdi.

Anahtar Kelimeler

Bacillus, Cevap Yüzeyi Yöntemi, Antagonistik etki

Kaynakça

• Ananda Raja, R., Sridhar, R., Balachandran, C., Palanisammi, A., Ramesh, S., Nagarajan, K. (2017). Pathogenicity profile of Vibrio parahaemolyticus in farmed Pacific white shrimp, Penaeus vannamei. Fish & Shellfish Immunology, 67, 368–381. https://doi.org/10.1016/j.fsi.2017.06.020
• Austin, B., Stuckey, L.E., Robertson, P.A.W., Effendi, I., Griffith, D.R.W. (1995). A probiotic strain of Vibrio alginolyticus effective in reducing disease caused by Aeromonas salmonicida, Vibrio anguillarum and Vibrio ordalli. Journal of Fish Disease, 18, 93–96. https://doi.org/10.1111/j.1365-2761.1995.tb01271.x
• Basri, M., Rahman, R.N., Ebrahimpour, A., Salleh, A.B, Gunawan, E.R., Rahman, M.B. (2007). Comparison of estimation capabilities of response surface methodology (RSM) with artificial neural network (ANN) in lipase-catalyzed synthesis of palm-based wax ester. BMC Biotechnology, 7, 53. https://doi:10.1186/1472-6750-7-53.
• Bentzon-Tilia, M., Sonnenschein, E.C., Gram, L. (2016) Monitoring and managing microbes in aquaculture—towards a sustainable industry. Microbial Biotechnology, 9, 576–584. https://doi.org/10.1111/1751-7915.12392
• Box, G., Behnken, D. (1960). Some new three level designs for the study of quantitative variables. Technometrics, 2(4), 455–475.
• Egerton, S., Culloty, S., Whooley, J., Stanton, C., Ross, R.P. (2018). The gut microbiota of marine fish. Frontiers in Microbiology, 9, 873. https://doi.org/10.3389/fmicb.2018.00873.
• Ferreira, S.L., Bruns, R.E., Ferreira, H.S., Matos, G.D., David, J.M., Brandão, G.C., da Silva, E.G., Portugal, L.A., dos Reis, P.S., Souza, A.S, dos Santos, W.N. (2007). Box-Behnken design: an alternative for the optimization of analytical methods. Analytica Chimica Acta, 597(2), 179–186. https://doi.org/10.1016/j.aca.2007.07.011
• Gao, X.Y., Liu, Y., Miao, L.L., Li, E.W., Hou, T.T., Liu, Z.P. (2017). Mechanism of anti-Vibrio activity of marine probiotic strain Bacillus pumilus H2, and characterization of the active substance. AMB Express, 71, 23. https://doi.org/10.1186/s13568-017-0323-3
• Kumar, N., Sinha, S., Mehrotra, T., Singh, R., Tandon, S., Thakur, I.S. (2019). Biodecolorization of azo dye Acid Black 24 by Bacillus pseudomycoides: Process optimization using Box Behnken design model and toxicity assessment. Bioresource Technology Reports, 8, 100311. https://doi.org/10.1016/j.biteb.2019.100311.
• Liu, X.F., Li, Y., Li, J.R., Cai, L.Y., Li, X.X., Chen, J.R., Lyu, S.X. (2015). Isolation and characterisation of Bacillus spp. antagonistic to Vibrio parahaemolyticus for use as probiotics in aquaculture. World Journal of Microbiology and Biotechnology, 31(5), 795–803. https://doi.org/10.1007/s11274-015-1833-2
• Masurekar, P.S. (2008). Nutritional and engineering aspects of microbial process development. Progress in drug research. Fortschritte der Arzneimittelforschung. Progres des Recherches Pharmaceutiques, 65, 291–328. https://doi.org/10.1007/978-3-7643-8117-2_8.
• Mohd Nor, N., Yazid, S.H.M., Daud, H.M., Amal, M.N.A., Mohamad, N. (2019). Costs of management practices of Asian seabass (Lates calcarifer Bloch, 1790) cage culture in Malaysia using stochastic model that includes uncertainty in mortality. Aquaculture, 510, 347–352. https://doi.org/10.1016/j.aquaculture.2019.04.042
• Nayak, S., Limsuwan, C., Chuchird, N., Pungpang, S. (2012). A study on the effect of Bacillus spp. to control the pathogenic bacteria in aquaculture. Kasetsart University Fisheries Research Bulletin, 36(2), 1–12.
• Rao, K.J., Kim, C.H., Rhee, S.K. (2000). Statistical optimization of medium for the production of recombinant hirudin from Saccharomyces cerevisiae using response surface methodology. Process Biochemistry, 35, 639–647. https://doi:10.1016/S0032-9592(99)00129-6
• Salman, M., Shahid, M., Sahar, T., Naheed, S., Mahmood-ur-Rahman, Arif, M., Iqbal, M., Nazir, A. (2020). Development of regression model for bacteriocin production from local isolate of Lactobacillus acidophilus MS1 using Box-Behnken design. Biocatalysis and Agricultural Biotechnology, 24, 101542. https://doi.org/10.1016/j.bcab.2020.101542
• Shafi, J., Sun, Z., Ji, M., Gu, Z., Ahmad, W. (2018). ANN and RSM based modelling for optimization of cell dry mass of Bacillus sp. strain B67 and its antifungal activity against Botrytis cinerea. Biotechnology & Biotechnological Equipment, 32, 58–68. https://doi org/10.1080/13102818.2017.1379359.
• Sutili, F.J., Gressler, L.G. (2021). Antimicrobial agents. In Aquaculture Pharmacology (pp. 131–168). Academic Press.
• Venkateswarulu, T.C., Prabhakar, K.V., Kumar, R.B., Krupanidhi, S. (2017). Modeling and optimization of fermentation variables for enhanced production of lactase by isolated Bacillus subtilis strain VUVD001 using artificial neural networking and response surface methodology. 3 Biotech, 7(3), 186. https://doi.org/10.1007/s13205-017-0802-x
• Yaylacı, E.U. (2022a). Isolation and characterization of Bacillus spp. from aquaculture cage water and its inhibitory effect against selected Vibrio spp. Archives of Microbiology, 204, 26. https://doi.org/10.1007/s00203-021-02657-0
• Yaylaci, E.U. (2022b). Characterization of Pseudoalteromonas sp. from aquaculture environment and optimization of fermentation culture parameters by RSM-based modeling. Turkish Journal of Fisheries And Aquatic Sciences, 22(11), TRJFAS21726. https://doi.org/10.4194/TRJFAS21726
• Zhang, L., Tian, X., Kuang, S., Liu, G., Zhang, C., Sun, C. (2017). Antagonistic activity and mode of action of phenazine-1-carboxylic acid, produced by marine bacterium Pseudomonas aeruginosa PA31x, against Vibrio anguillarum in vitro and in a zebrafish in vivo model. Frontiers in Microbiology, 8, 289. https://doi.org/10.3389/fmicb.2017.00289.