GC-MS Metabolomics and Antifungal Characteristics of Autochthonous <i>Lactobacillus</i> Strains
<i>Lactobacillus</i> strains with the potential of protecting fresh dairy products from spoilage were studied. Metabolism and antifungal activity of different <i>L. plantarum</i>, <i>L. brevis</i>, and <i>L. sakei</i> strains, isolated from Sardinian d...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-06-01
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| Series: | Dairy |
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| Online Access: | https://www.mdpi.com/2624-862X/2/3/26 |
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| author | Paola Scano M. Barbara Pisano Antonio Murgia Sofia Cosentino Pierluigi Caboni |
| author_facet | Paola Scano M. Barbara Pisano Antonio Murgia Sofia Cosentino Pierluigi Caboni |
| author_sort | Paola Scano |
| collection | DOAJ |
| description | <i>Lactobacillus</i> strains with the potential of protecting fresh dairy products from spoilage were studied. Metabolism and antifungal activity of different <i>L. plantarum</i>, <i>L. brevis</i>, and <i>L. sakei</i> strains, isolated from Sardinian dairy and meat products, were assessed. The metabolite fingerprint of each strain was obtained by GC-MS and data submitted to multivariate statistical analysis. The discriminant analysis correctly classified samples to the <i>Lactobacillus</i> species and indicated that, with respect to the other species, <i>L. plantarum</i> had higher levels of organic acids, while <i>L. brevis</i> and <i>L. sakei</i> showed higher levels of sugars than <i>L. plantarum</i>. Partial Least Square (PLS) regression correlated the GC-MS metabolites to the antifungal activity (<i>p</i> < 0.05) of <i>Lactobacillus</i> strains and indicated that organic acids and oleamide are positively related with this ability. Some of the metabolites identified in this study have been reported to possess health promoting proprieties. These overall results suggest that the GC-MS-based metabolomic approach is a useful tool for the characterization of <i>Lactobacillus</i> strains as biopreservatives. |
| first_indexed | 2024-03-10T07:46:46Z |
| format | Article |
| id | doaj.art-bd0d69e3266e4e0488a33a76f8921dce |
| institution | Directory Open Access Journal |
| issn | 2624-862X |
| language | English |
| last_indexed | 2024-03-10T07:46:46Z |
| publishDate | 2021-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Dairy |
| spelling | doaj.art-bd0d69e3266e4e0488a33a76f8921dce2023-11-22T12:36:50ZengMDPI AGDairy2624-862X2021-06-012332633510.3390/dairy2030026GC-MS Metabolomics and Antifungal Characteristics of Autochthonous <i>Lactobacillus</i> StrainsPaola Scano0M. Barbara Pisano1Antonio Murgia2Sofia Cosentino3Pierluigi Caboni4Department of Life and Environmental Sciences, University of Cagliari, SS 554 km 4.5, 09042 Monserrato, ItalyDepartment of Medical Sciences and Public Health, University of Cagliari, SS 554 km 4.5, 09042 Monserrato, ItalyDepartment of Life and Environmental Sciences, University of Cagliari, SS 554 km 4.5, 09042 Monserrato, ItalyDepartment of Medical Sciences and Public Health, University of Cagliari, SS 554 km 4.5, 09042 Monserrato, ItalyDepartment of Life and Environmental Sciences, University of Cagliari, SS 554 km 4.5, 09042 Monserrato, Italy<i>Lactobacillus</i> strains with the potential of protecting fresh dairy products from spoilage were studied. Metabolism and antifungal activity of different <i>L. plantarum</i>, <i>L. brevis</i>, and <i>L. sakei</i> strains, isolated from Sardinian dairy and meat products, were assessed. The metabolite fingerprint of each strain was obtained by GC-MS and data submitted to multivariate statistical analysis. The discriminant analysis correctly classified samples to the <i>Lactobacillus</i> species and indicated that, with respect to the other species, <i>L. plantarum</i> had higher levels of organic acids, while <i>L. brevis</i> and <i>L. sakei</i> showed higher levels of sugars than <i>L. plantarum</i>. Partial Least Square (PLS) regression correlated the GC-MS metabolites to the antifungal activity (<i>p</i> < 0.05) of <i>Lactobacillus</i> strains and indicated that organic acids and oleamide are positively related with this ability. Some of the metabolites identified in this study have been reported to possess health promoting proprieties. These overall results suggest that the GC-MS-based metabolomic approach is a useful tool for the characterization of <i>Lactobacillus</i> strains as biopreservatives.https://www.mdpi.com/2624-862X/2/3/26<i>Lactobacillus</i>antifungal activityfresh cheesebiopreservationGC-MSmetabolomics |
| spellingShingle | Paola Scano M. Barbara Pisano Antonio Murgia Sofia Cosentino Pierluigi Caboni GC-MS Metabolomics and Antifungal Characteristics of Autochthonous <i>Lactobacillus</i> Strains Dairy <i>Lactobacillus</i> antifungal activity fresh cheese biopreservation GC-MS metabolomics |
| title | GC-MS Metabolomics and Antifungal Characteristics of Autochthonous <i>Lactobacillus</i> Strains |
| title_full | GC-MS Metabolomics and Antifungal Characteristics of Autochthonous <i>Lactobacillus</i> Strains |
| title_fullStr | GC-MS Metabolomics and Antifungal Characteristics of Autochthonous <i>Lactobacillus</i> Strains |
| title_full_unstemmed | GC-MS Metabolomics and Antifungal Characteristics of Autochthonous <i>Lactobacillus</i> Strains |
| title_short | GC-MS Metabolomics and Antifungal Characteristics of Autochthonous <i>Lactobacillus</i> Strains |
| title_sort | gc ms metabolomics and antifungal characteristics of autochthonous i lactobacillus i strains |
| topic | <i>Lactobacillus</i> antifungal activity fresh cheese biopreservation GC-MS metabolomics |
| url | https://www.mdpi.com/2624-862X/2/3/26 |
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