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Antibiofilm Activity of α-Amylase from Bacillus subtilis and Prediction of the Optimized Conditions for Biofilm Removal by Response Surface Methodology (RSM) and Artificial Neural Network (ANN)

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Abstract

α-amylase is known to have antibiofilm activity against biofilms of both Gram positive and Gram-negative bacterial strains. Partially purified α-amylase from Bacillus subtilis was found to have inhibit biofilm formed by P. aeruginosa and S. aureus. The spectrophotometric and microscopic studies revealed that the antibiofilm efficacy of the working strain is greater than commercially purchased α-amylase. Response surface methodology (RSM) and artificial neural network (ANN) help to predict the optimum conditions [pH 8, treatment time 6 h and enzyme concentration (200 µg/mL)] for maximum biofilm eradication. This was confirmed by several in vitro experiments. Molecular docking interactions of α-amylase with the extracellular polymeric substances (EPS) of both P. aeruginosa and S. aureus indicate towards the existence of an efficient energy driven spontaneous process. Thus, this study highlights a combination of experimental and computational approach showing the naturally extracted α-amylase from B. subtilis having the potency of removing the biofilms of harmful bacterial strains involved in causing various nosocomial infections.

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Funding

No funding of any kind has been received for the present work. Data have been generated as part of the routine work.

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    Authors and Affiliations

    1. Department of Biotechnology, University of Engineering & Management, Kolkata, India

      Dibyajit Lahiri & Moupriya Nag

    2. Department of Food Technology & Biochemical Engineering, Jadavpur University, Kolkata, India

      Tanmay Sarkar

    3. Malda Polytechnic, West Bengal State Council of Technical Education, Govt. of West Bengal, West Bengal, Malda, India

      Tanmay Sarkar

    4. Department of Biotechnology, Maulana Abul Kalam Azad University of Technology, Haringhata, West Bengal, India

      Bandita Dutta & Rina Rani Ray

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    1. Dibyajit Lahiri
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    Contributions

    Dibyajit Lahiri, isolated the bacterial strain and carried out other experimental procedures, helped to write the manuscript.

    Moupriya Nag, conceived the study, revised experimental procedures and helped to write the manuscript.

    Tanmay Sarkar, did the RSM and ANN prediction and analysis.

    Bandita Dutta, carried out in-silico studies.

    Rina Rani Ray, designed the protocol, supervised the experimental procedures and drafted the manuscript.

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    Correspondence to Rina Rani Ray.

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    Dibyajit Lahiri and Moupriya Nag contributed equally to this work.

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    Lahiri, D., Nag, M., Sarkar, T. et al. Antibiofilm Activity of α-Amylase from Bacillus subtilis and Prediction of the Optimized Conditions for Biofilm Removal by Response Surface Methodology (RSM) and Artificial Neural Network (ANN). Appl Biochem Biotechnol 193, 1853–1872 (2021). https://doi.org/10.1007/s12010-021-03509-9

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