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Comparison and selection of probiotic Lactobacillus from human intestinal tract and traditional fermented food in vitro via PCA, unsupervised clustering algorithm, and heat‐map analysis

Traditional fermented products and human intestines are rich sources of Lactobacillus strains which may have remarkable probiotic properties. In the present study, the probiotic properties of 40 Lactobacillus strains isolated from intestinal tracts of longevity population and traditional fermented f...

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Autores principales: Zhang, Longfei, Qu, Hengxian, Liu, Xiaoxiao, Li, Qiming, Liu, Yang, Wang, Wenqiong, Chen, Dawei, Xiao, Lixia, Gu, Ruixia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9731541/
https://www.ncbi.nlm.nih.gov/pubmed/36514768
http://dx.doi.org/10.1002/fsn3.3018
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author Zhang, Longfei
Qu, Hengxian
Liu, Xiaoxiao
Li, Qiming
Liu, Yang
Wang, Wenqiong
Chen, Dawei
Xiao, Lixia
Gu, Ruixia
author_facet Zhang, Longfei
Qu, Hengxian
Liu, Xiaoxiao
Li, Qiming
Liu, Yang
Wang, Wenqiong
Chen, Dawei
Xiao, Lixia
Gu, Ruixia
author_sort Zhang, Longfei
collection PubMed
description Traditional fermented products and human intestines are rich sources of Lactobacillus strains which may have remarkable probiotic properties. In the present study, the probiotic properties of 40 Lactobacillus strains isolated from intestinal tracts of longevity population and traditional fermented food in China were determined, including the survival rates in simulated gastric acid and bile salt, aggregation, hydrophobicity, adhesion rate, antioxidant ability (ferric reducing antioxidant power), and antimicrobial ability. The differences between human strains and nonhuman strains were compared via t‐test and principal component analysis (PCA). The significant differences were found in the survival rate at 0.3% bile salt, adhesion ability of the strains, and antioxidant ability of the fermentation broth (p < .05). The results of PCA showed that the first principal component (PC1) score of human strains was significantly higher than that of nonhuman strains (p < .01). And some probiotic Lactobacillus were selected for further application based on the unsupervised clustering algorithm, heat‐map analysis, and K‐means algorithm. Four strains, CS128, CS39, CS01, and CS1301, along with Lactobacillus rhamnosus GG (LGG) were divided into cluster I. The four strains, all isolated from human tracts, have been selected. Thus, human Lactobacillus has better probiotic potential and application prospects than strains from the nonhuman source. PCA, the unsupervised clustering algorithm, and heat‐map analysis can be used to analyze and select Lactobacillus visually and effectively.
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spelling pubmed-97315412022-12-12 Comparison and selection of probiotic Lactobacillus from human intestinal tract and traditional fermented food in vitro via PCA, unsupervised clustering algorithm, and heat‐map analysis Zhang, Longfei Qu, Hengxian Liu, Xiaoxiao Li, Qiming Liu, Yang Wang, Wenqiong Chen, Dawei Xiao, Lixia Gu, Ruixia Food Sci Nutr Original Articles Traditional fermented products and human intestines are rich sources of Lactobacillus strains which may have remarkable probiotic properties. In the present study, the probiotic properties of 40 Lactobacillus strains isolated from intestinal tracts of longevity population and traditional fermented food in China were determined, including the survival rates in simulated gastric acid and bile salt, aggregation, hydrophobicity, adhesion rate, antioxidant ability (ferric reducing antioxidant power), and antimicrobial ability. The differences between human strains and nonhuman strains were compared via t‐test and principal component analysis (PCA). The significant differences were found in the survival rate at 0.3% bile salt, adhesion ability of the strains, and antioxidant ability of the fermentation broth (p < .05). The results of PCA showed that the first principal component (PC1) score of human strains was significantly higher than that of nonhuman strains (p < .01). And some probiotic Lactobacillus were selected for further application based on the unsupervised clustering algorithm, heat‐map analysis, and K‐means algorithm. Four strains, CS128, CS39, CS01, and CS1301, along with Lactobacillus rhamnosus GG (LGG) were divided into cluster I. The four strains, all isolated from human tracts, have been selected. Thus, human Lactobacillus has better probiotic potential and application prospects than strains from the nonhuman source. PCA, the unsupervised clustering algorithm, and heat‐map analysis can be used to analyze and select Lactobacillus visually and effectively. John Wiley and Sons Inc. 2022-08-22 /pmc/articles/PMC9731541/ /pubmed/36514768 http://dx.doi.org/10.1002/fsn3.3018 Text en © 2022 The Authors. Food Science & Nutrition published by Wiley Periodicals LLC. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Zhang, Longfei
Qu, Hengxian
Liu, Xiaoxiao
Li, Qiming
Liu, Yang
Wang, Wenqiong
Chen, Dawei
Xiao, Lixia
Gu, Ruixia
Comparison and selection of probiotic Lactobacillus from human intestinal tract and traditional fermented food in vitro via PCA, unsupervised clustering algorithm, and heat‐map analysis
title Comparison and selection of probiotic Lactobacillus from human intestinal tract and traditional fermented food in vitro via PCA, unsupervised clustering algorithm, and heat‐map analysis
title_full Comparison and selection of probiotic Lactobacillus from human intestinal tract and traditional fermented food in vitro via PCA, unsupervised clustering algorithm, and heat‐map analysis
title_fullStr Comparison and selection of probiotic Lactobacillus from human intestinal tract and traditional fermented food in vitro via PCA, unsupervised clustering algorithm, and heat‐map analysis
title_full_unstemmed Comparison and selection of probiotic Lactobacillus from human intestinal tract and traditional fermented food in vitro via PCA, unsupervised clustering algorithm, and heat‐map analysis
title_short Comparison and selection of probiotic Lactobacillus from human intestinal tract and traditional fermented food in vitro via PCA, unsupervised clustering algorithm, and heat‐map analysis
title_sort comparison and selection of probiotic lactobacillus from human intestinal tract and traditional fermented food in vitro via pca, unsupervised clustering algorithm, and heat‐map analysis
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9731541/
https://www.ncbi.nlm.nih.gov/pubmed/36514768
http://dx.doi.org/10.1002/fsn3.3018
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