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Probiotic potential characterization and clustering using unsupervised algorithms of lactic acid bacteria from saltwater fish samples
This research aimed to isolate lactic acid bacteria from the bowel of saltwater fish to assess their potential probiotic properties. Nineteen isolates of LAB including Lactiplantibacillus plantarum, Lactiplantibacillus pentosus, Lactobacillus acidophilus, Levilactobacillus brevis, Pediococcus pentos...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9279464/ https://www.ncbi.nlm.nih.gov/pubmed/35831426 http://dx.doi.org/10.1038/s41598-022-16322-z |
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author | Mazlumi, Atefeh Panahi, Bahman Hejazi, Mohammad Amin Nami, Yousef |
author_facet | Mazlumi, Atefeh Panahi, Bahman Hejazi, Mohammad Amin Nami, Yousef |
author_sort | Mazlumi, Atefeh |
collection | PubMed |
description | This research aimed to isolate lactic acid bacteria from the bowel of saltwater fish to assess their potential probiotic properties. Nineteen isolates of LAB including Lactiplantibacillus plantarum, Lactiplantibacillus pentosus, Lactobacillus acidophilus, Levilactobacillus brevis, Pediococcus pentosaceus, and Pediococcus acidilactici were recognized using molecular tools. All the isolates survived in the simulated conditions of the GI tract. Auto-aggregation ranged from 01.3 ± 0.5 to 82.6 ± 1.4% and hydrophobicity with toluene ranged from 3.7 ± 1.6 to 69.4 ± 1.3%, while the range of hydrophobicity with xylene was from 02.2 ± 1.6 to 56.4 ± 2.1%. All the isolates of lactobacilli, pediococci, enterococci, and lactococci indicated variable sensitivity and resistance towards clinical antibiotics. Non-neutralized cell free supernatant of isolates F12 and F15 showed antimicrobial activity against all the 8 evaluated enteric pathogens. Cluster analysis of identified potential probiotic bacteria based on heat-map and PCA methods also highlighted the priority of isolates F3, F7, F12, and F15 as bio-control agents in fishery industry. The findings of this study may essentially contribute to the understanding of the probiotic potential of LAB in saltwater fish, in order to access their probiotic characterization for use as biocontrol in fishery. |
format | Online Article Text |
id | pubmed-9279464 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-92794642022-07-15 Probiotic potential characterization and clustering using unsupervised algorithms of lactic acid bacteria from saltwater fish samples Mazlumi, Atefeh Panahi, Bahman Hejazi, Mohammad Amin Nami, Yousef Sci Rep Article This research aimed to isolate lactic acid bacteria from the bowel of saltwater fish to assess their potential probiotic properties. Nineteen isolates of LAB including Lactiplantibacillus plantarum, Lactiplantibacillus pentosus, Lactobacillus acidophilus, Levilactobacillus brevis, Pediococcus pentosaceus, and Pediococcus acidilactici were recognized using molecular tools. All the isolates survived in the simulated conditions of the GI tract. Auto-aggregation ranged from 01.3 ± 0.5 to 82.6 ± 1.4% and hydrophobicity with toluene ranged from 3.7 ± 1.6 to 69.4 ± 1.3%, while the range of hydrophobicity with xylene was from 02.2 ± 1.6 to 56.4 ± 2.1%. All the isolates of lactobacilli, pediococci, enterococci, and lactococci indicated variable sensitivity and resistance towards clinical antibiotics. Non-neutralized cell free supernatant of isolates F12 and F15 showed antimicrobial activity against all the 8 evaluated enteric pathogens. Cluster analysis of identified potential probiotic bacteria based on heat-map and PCA methods also highlighted the priority of isolates F3, F7, F12, and F15 as bio-control agents in fishery industry. The findings of this study may essentially contribute to the understanding of the probiotic potential of LAB in saltwater fish, in order to access their probiotic characterization for use as biocontrol in fishery. Nature Publishing Group UK 2022-07-13 /pmc/articles/PMC9279464/ /pubmed/35831426 http://dx.doi.org/10.1038/s41598-022-16322-z Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Mazlumi, Atefeh Panahi, Bahman Hejazi, Mohammad Amin Nami, Yousef Probiotic potential characterization and clustering using unsupervised algorithms of lactic acid bacteria from saltwater fish samples |
title | Probiotic potential characterization and clustering using unsupervised algorithms of lactic acid bacteria from saltwater fish samples |
title_full | Probiotic potential characterization and clustering using unsupervised algorithms of lactic acid bacteria from saltwater fish samples |
title_fullStr | Probiotic potential characterization and clustering using unsupervised algorithms of lactic acid bacteria from saltwater fish samples |
title_full_unstemmed | Probiotic potential characterization and clustering using unsupervised algorithms of lactic acid bacteria from saltwater fish samples |
title_short | Probiotic potential characterization and clustering using unsupervised algorithms of lactic acid bacteria from saltwater fish samples |
title_sort | probiotic potential characterization and clustering using unsupervised algorithms of lactic acid bacteria from saltwater fish samples |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9279464/ https://www.ncbi.nlm.nih.gov/pubmed/35831426 http://dx.doi.org/10.1038/s41598-022-16322-z |
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