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Variation in Raw Milk Microbiota Throughout 12 Months and the Impact of Weather Conditions
Milk microbiota has a great influence on the safety and quality of dairy products. However, few studies have investigated the variations of bacterial composition in raw milk. In this study, raw milk samples were collected in 12 successive months, and their bacterial compositions were determined by 1...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5799204/ https://www.ncbi.nlm.nih.gov/pubmed/29402950 http://dx.doi.org/10.1038/s41598-018-20862-8 |
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author | Li, Nan Wang, Yuezhu You, Chunping Ren, Jing Chen, Wanyi Zheng, Huajun Liu, Zhenmin |
author_facet | Li, Nan Wang, Yuezhu You, Chunping Ren, Jing Chen, Wanyi Zheng, Huajun Liu, Zhenmin |
author_sort | Li, Nan |
collection | PubMed |
description | Milk microbiota has a great influence on the safety and quality of dairy products. However, few studies have investigated the variations of bacterial composition in raw milk. In this study, raw milk samples were collected in 12 successive months, and their bacterial compositions were determined by 16 S rRNA gene sequencing. The highest diversity of bacterial composition was detected in June, while the lowest was in December. Firmicutes, Proteobacteria and Actinobacteria were the most abundant phyla and exhibited a counter-balanced relationship. Pseudomonas, Lactococcus and Acinetobacter were the most prevalent genera (>1%), and a tiny core microbiota (Acinetobacter and Pseudomonas) was observed. Temperature and humidity were the determining factors for most variation in bacterial compositions at both the phylum and genus levels. Higher abundances of Pseudomonas, Propionibacterium and Flavobacterium were correlated with low temperature. Furthermore, Pseudomonas/Propionibacterium and Lactobacillus/Bifidobacterium were two pairs of genera that had synergistic effects. Associations between the microbiota and milk quality parameters were analyzed. The abundances of Propionibacterium and Pseudoalteromonas were negatively correlated to total bacterial count, which meant that they helped to maintain milk quality, while a series of environmental microorganisms contributed to the spoilage of raw milk. |
format | Online Article Text |
id | pubmed-5799204 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-57992042018-02-14 Variation in Raw Milk Microbiota Throughout 12 Months and the Impact of Weather Conditions Li, Nan Wang, Yuezhu You, Chunping Ren, Jing Chen, Wanyi Zheng, Huajun Liu, Zhenmin Sci Rep Article Milk microbiota has a great influence on the safety and quality of dairy products. However, few studies have investigated the variations of bacterial composition in raw milk. In this study, raw milk samples were collected in 12 successive months, and their bacterial compositions were determined by 16 S rRNA gene sequencing. The highest diversity of bacterial composition was detected in June, while the lowest was in December. Firmicutes, Proteobacteria and Actinobacteria were the most abundant phyla and exhibited a counter-balanced relationship. Pseudomonas, Lactococcus and Acinetobacter were the most prevalent genera (>1%), and a tiny core microbiota (Acinetobacter and Pseudomonas) was observed. Temperature and humidity were the determining factors for most variation in bacterial compositions at both the phylum and genus levels. Higher abundances of Pseudomonas, Propionibacterium and Flavobacterium were correlated with low temperature. Furthermore, Pseudomonas/Propionibacterium and Lactobacillus/Bifidobacterium were two pairs of genera that had synergistic effects. Associations between the microbiota and milk quality parameters were analyzed. The abundances of Propionibacterium and Pseudoalteromonas were negatively correlated to total bacterial count, which meant that they helped to maintain milk quality, while a series of environmental microorganisms contributed to the spoilage of raw milk. Nature Publishing Group UK 2018-02-05 /pmc/articles/PMC5799204/ /pubmed/29402950 http://dx.doi.org/10.1038/s41598-018-20862-8 Text en © The Author(s) 2018 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Li, Nan Wang, Yuezhu You, Chunping Ren, Jing Chen, Wanyi Zheng, Huajun Liu, Zhenmin Variation in Raw Milk Microbiota Throughout 12 Months and the Impact of Weather Conditions |
title | Variation in Raw Milk Microbiota Throughout 12 Months and the Impact of Weather Conditions |
title_full | Variation in Raw Milk Microbiota Throughout 12 Months and the Impact of Weather Conditions |
title_fullStr | Variation in Raw Milk Microbiota Throughout 12 Months and the Impact of Weather Conditions |
title_full_unstemmed | Variation in Raw Milk Microbiota Throughout 12 Months and the Impact of Weather Conditions |
title_short | Variation in Raw Milk Microbiota Throughout 12 Months and the Impact of Weather Conditions |
title_sort | variation in raw milk microbiota throughout 12 months and the impact of weather conditions |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5799204/ https://www.ncbi.nlm.nih.gov/pubmed/29402950 http://dx.doi.org/10.1038/s41598-018-20862-8 |
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