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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...

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Autores principales: Hornik, Bartosz, Czarny, Jakub, Staninska-Pięta, Justyna, Wolko, Łukasz, Cyplik, Paweł, Piotrowska-Cyplik, Agnieszka
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
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.
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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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