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The Raw Milk Microbiota from Semi-Subsistence Farms Characteristics by NGS Analysis Method
The aim of this study was to analyze the microbiome of raw milk obtained from three semi-subsistence farms (A, B, and C) located in the Kuyavian-Pomeranian Voivodeship in Poland. The composition of drinking milk was assessed on the basis of 16S rRNA gene sequencing using the Ion Torrent platform. Ba...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8402136/ https://www.ncbi.nlm.nih.gov/pubmed/34443615 http://dx.doi.org/10.3390/molecules26165029 |
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author | Hornik, Bartosz Czarny, Jakub Staninska-Pięta, Justyna Wolko, Łukasz Cyplik, Paweł Piotrowska-Cyplik, Agnieszka |
author_facet | Hornik, Bartosz Czarny, Jakub Staninska-Pięta, Justyna Wolko, Łukasz Cyplik, Paweł Piotrowska-Cyplik, Agnieszka |
author_sort | Hornik, Bartosz |
collection | PubMed |
description | The aim of this study was to analyze the microbiome of raw milk obtained from three semi-subsistence farms (A, B, and C) located in the Kuyavian-Pomeranian Voivodeship in Poland. The composition of drinking milk was assessed on the basis of 16S rRNA gene sequencing using the Ion Torrent platform. Based on the conducted research, significant changes in the composition of the milk microbiome were found depending on its place of origin. Bacteria belonging to the Bacillus (17.0%), Corynebacterium (12.0%) and Escherichia-Shigella (11.0%) genera were dominant in the milk collected from farm A. In the case of the milk from farm B, the dominant bacteria belonged to the Acinetobacter genus (21.0%), whereas in the sample from farm C, Escherichia-Shigella (24.8%) and Bacillus (10.3%) dominated the microbiome. An analysis was performed using the PICRUSt tool (Phylogenetic Investigation of Communities by Reconstruction of Unobserved States) in order to generate a profile of genes responsible for bacterial metabolism. The conducted analysis confirmed the diversity of the profile of genes responsible for bacterial metabolism in all the tested samples. On the other hand, simultaneous analysis of six KEGG Orthologs (KO), which participated in beta-lactam resistance responsible for antibiotic resistance of bacteria, demonstrated that there is no significant relationship between the predicted occurrence of these orthologs and the place of existence of microorganisms. Therefore, it can be supposed that bacterial resistance to beta-lactam antibiotics occurs regardless of the environmental niche, and that the antibiotic resistance maintained in the population is a factor that shapes the functional structure of the microbial consortia. |
format | Online Article Text |
id | pubmed-8402136 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-84021362021-08-29 The Raw Milk Microbiota from Semi-Subsistence Farms Characteristics by NGS Analysis Method Hornik, Bartosz Czarny, Jakub Staninska-Pięta, Justyna Wolko, Łukasz Cyplik, Paweł Piotrowska-Cyplik, Agnieszka Molecules Article The aim of this study was to analyze the microbiome of raw milk obtained from three semi-subsistence farms (A, B, and C) located in the Kuyavian-Pomeranian Voivodeship in Poland. The composition of drinking milk was assessed on the basis of 16S rRNA gene sequencing using the Ion Torrent platform. Based on the conducted research, significant changes in the composition of the milk microbiome were found depending on its place of origin. Bacteria belonging to the Bacillus (17.0%), Corynebacterium (12.0%) and Escherichia-Shigella (11.0%) genera were dominant in the milk collected from farm A. In the case of the milk from farm B, the dominant bacteria belonged to the Acinetobacter genus (21.0%), whereas in the sample from farm C, Escherichia-Shigella (24.8%) and Bacillus (10.3%) dominated the microbiome. An analysis was performed using the PICRUSt tool (Phylogenetic Investigation of Communities by Reconstruction of Unobserved States) in order to generate a profile of genes responsible for bacterial metabolism. The conducted analysis confirmed the diversity of the profile of genes responsible for bacterial metabolism in all the tested samples. On the other hand, simultaneous analysis of six KEGG Orthologs (KO), which participated in beta-lactam resistance responsible for antibiotic resistance of bacteria, demonstrated that there is no significant relationship between the predicted occurrence of these orthologs and the place of existence of microorganisms. Therefore, it can be supposed that bacterial resistance to beta-lactam antibiotics occurs regardless of the environmental niche, and that the antibiotic resistance maintained in the population is a factor that shapes the functional structure of the microbial consortia. MDPI 2021-08-19 /pmc/articles/PMC8402136/ /pubmed/34443615 http://dx.doi.org/10.3390/molecules26165029 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Hornik, Bartosz Czarny, Jakub Staninska-Pięta, Justyna Wolko, Łukasz Cyplik, Paweł Piotrowska-Cyplik, Agnieszka The Raw Milk Microbiota from Semi-Subsistence Farms Characteristics by NGS Analysis Method |
title | The Raw Milk Microbiota from Semi-Subsistence Farms Characteristics by NGS Analysis Method |
title_full | The Raw Milk Microbiota from Semi-Subsistence Farms Characteristics by NGS Analysis Method |
title_fullStr | The Raw Milk Microbiota from Semi-Subsistence Farms Characteristics by NGS Analysis Method |
title_full_unstemmed | The Raw Milk Microbiota from Semi-Subsistence Farms Characteristics by NGS Analysis Method |
title_short | The Raw Milk Microbiota from Semi-Subsistence Farms Characteristics by NGS Analysis Method |
title_sort | raw milk microbiota from semi-subsistence farms characteristics by ngs analysis method |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8402136/ https://www.ncbi.nlm.nih.gov/pubmed/34443615 http://dx.doi.org/10.3390/molecules26165029 |
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