Malek, Ahmad Zuhairi Abdul and Lokman, Nur Amalina Ahmed and Tan, Boon Chin and Lim, Yin Sze (2021) In silico prediction and in vitro analysis of bacteriocin and probiotic properties of Weissella cibaria NM1 isolated from Asian sea bass. Malaysian Journal of Microbiology, 17 (6). pp. 708-719. ISSN 1823-8262, DOI https://doi.org/10.21161/mjm.211249.
Full text not available from this repository.Abstract
This study aims to predict the presence of bacteriocin and probiotic-associated genes in the genome of Weissella cibaria NM1 isolated from Asian sea bass using a machine learning-based NeuBI prediction approach, followed by the investigation of the crude bacteriocin antimicrobial and probiotic properties via in vitro analysis. Methodology and results: This study utilized the machine learning-based NeuBI prediction approach with a homology search of highly conserved bacteriocin-associated genes present in the genome of W. cibaria NM1. This approach discovered a putative bacteriocin gene (WC2064) and bacteriocin operon with complete immunity, transporter, regulator and modifier genes. Furthermore, the genome of W. cibaria NM1 was found to harboured specific probiotic-associated genes that would contribute to acid and bile tolerance, adhesion on the host cell and exhibited cholesterol-reducing ability. On top of that, the genome also shows the absence of virulence and antibiotic resistance genes, which signifies the safety of W. cibaria NM1 as a potential probiotic candidate. In vitro study has confirmed the antipseudomonal activity of crude bacteriocin NM1 with MIC of 62.5 mg/mL. Weissella cibaria NM1 can tolerate 0.3 (v/v) of bile salt condition and the transit through the simulated gastric (pH 3 and 4) and small intestinal (pH 8) tract. Conclusion, significance and impact of study: Current findings suggested in silico approach can speed up the search for putative bacteriocin and probiotic-associated genes from the genome of W. cibaria NM1. Nevertheless, further verification through experimental works will be deemed essentia © 2021. Malaysian Journal of Microbiology.All Rights Reserved
| Item Type: | Article |
|---|---|
| Funders: | Ministry of Higher Education (MOHE) Malaysia, under the Fundamental Research Grant Scheme[FRGS/1/2017/STG03/UNIM/03/1] |
| Uncontrolled Keywords: | Weissella cibaria;Bacteriocin;Probiotic;In silico prediction;Machine learning |
| Subjects: | S Agriculture > S Agriculture (General) T Technology > TD Environmental technology. Sanitary engineering |
| Divisions: | Deputy Vice Chancellor (Research & Innovation) Office > Centre for Research in Biotechnology for Agriculture |
| Depositing User: | Ms Zaharah Ramly |
| Date Deposited: | 19 Oct 2022 02:51 |
| Last Modified: | 19 Oct 2022 02:51 |
| URI: | http://eprints.um.edu.my/id/eprint/35689 |
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