Variation in Raw Milk Microbiota Throughout 12 Months and the Impact of Weather Conditions
Abstract 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 determ...
Main Authors: | , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Publishing Group
2018-02-01
|
Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-018-20862-8 |
id |
doaj-0dd0e82812b14fad9f6ce3715b8d5aa1 |
---|---|
record_format |
Article |
spelling |
doaj-0dd0e82812b14fad9f6ce3715b8d5aa12020-12-08T06:02:48ZengNature Publishing GroupScientific Reports2045-23222018-02-018111010.1038/s41598-018-20862-8Variation in Raw Milk Microbiota Throughout 12 Months and the Impact of Weather ConditionsNan Li0Yuezhu Wang1Chunping You2Jing Ren3Wanyi Chen4Huajun Zheng5Zhenmin Liu6State Key Laboratory of Dairy Biotechnology, Shanghai Engineering Research Center of Dairy Biotechnology, Synergetic Innovation Center for Food Safety and Nutrition, Dairy Research Institute, Bright Dairy & Food Co., Ltd.Shanghai-MOST Key Laboratory of Health and Disease Genomics, Chinese National Human Genome Center at ShanghaiState Key Laboratory of Dairy Biotechnology, Shanghai Engineering Research Center of Dairy Biotechnology, Synergetic Innovation Center for Food Safety and Nutrition, Dairy Research Institute, Bright Dairy & Food Co., Ltd.State Key Laboratory of Dairy Biotechnology, Shanghai Engineering Research Center of Dairy Biotechnology, Synergetic Innovation Center for Food Safety and Nutrition, Dairy Research Institute, Bright Dairy & Food Co., Ltd.State Key Laboratory of Dairy Biotechnology, Shanghai Engineering Research Center of Dairy Biotechnology, Synergetic Innovation Center for Food Safety and Nutrition, Dairy Research Institute, Bright Dairy & Food Co., Ltd.Shanghai-MOST Key Laboratory of Health and Disease Genomics, Chinese National Human Genome Center at ShanghaiState Key Laboratory of Dairy Biotechnology, Shanghai Engineering Research Center of Dairy Biotechnology, Synergetic Innovation Center for Food Safety and Nutrition, Dairy Research Institute, Bright Dairy & Food Co., Ltd.Abstract 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.https://doi.org/10.1038/s41598-018-20862-8 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Nan Li Yuezhu Wang Chunping You Jing Ren Wanyi Chen Huajun Zheng Zhenmin Liu |
spellingShingle |
Nan Li Yuezhu Wang Chunping You Jing Ren Wanyi Chen Huajun Zheng Zhenmin Liu Variation in Raw Milk Microbiota Throughout 12 Months and the Impact of Weather Conditions Scientific Reports |
author_facet |
Nan Li Yuezhu Wang Chunping You Jing Ren Wanyi Chen Huajun Zheng Zhenmin Liu |
author_sort |
Nan Li |
title |
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_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_sort |
variation in raw milk microbiota throughout 12 months and the impact of weather conditions |
publisher |
Nature Publishing Group |
series |
Scientific Reports |
issn |
2045-2322 |
publishDate |
2018-02-01 |
description |
Abstract 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. |
url |
https://doi.org/10.1038/s41598-018-20862-8 |
work_keys_str_mv |
AT nanli variationinrawmilkmicrobiotathroughout12monthsandtheimpactofweatherconditions AT yuezhuwang variationinrawmilkmicrobiotathroughout12monthsandtheimpactofweatherconditions AT chunpingyou variationinrawmilkmicrobiotathroughout12monthsandtheimpactofweatherconditions AT jingren variationinrawmilkmicrobiotathroughout12monthsandtheimpactofweatherconditions AT wanyichen variationinrawmilkmicrobiotathroughout12monthsandtheimpactofweatherconditions AT huajunzheng variationinrawmilkmicrobiotathroughout12monthsandtheimpactofweatherconditions AT zhenminliu variationinrawmilkmicrobiotathroughout12monthsandtheimpactofweatherconditions |
_version_ |
1724391481974718464 |