High-throughput sequencing provides new insights into the roles and implications of core microbiota present in pasteurized milk

Ding, Ruixue; Liu, Yiming; Yang, Shanshan; Liu, Yumeng; Shi, Haisu; Yue, Xiqing; Wu, Rina; Wu, Junrui

doi:10.1016/j.foodres.2020.109586

Cited by 25 publications

(18 citation statements)

References 37 publications

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“…The detection of low numbers of 16S gene copies of Thermus sp., an extreme thermophile genus detected in hot water sources in the dairy industry [56] and heat-resistant Streptococcus sp. strains [39] only in WW from plant B supports this hypothesis.…”

Section: Bacterial Genera Found In Dairy White Wastewaterssupporting

confidence: 65%

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Characterization of Chemical and Bacterial Compositions of Dairy Wastewaters

Alalam

Ben-Souilah

Lessard

et al. 2021

Dairy

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The dairy industry produces large amounts of wastewater, including white and cleaning wastewater originating principally from rinsing and cleaning-in-place procedures. Their valorization into process water and non-fat milk solids, in the case of white wastewater, or the renewal of cleaning solutions could be achieved using pressure-driven membrane processes. However, it is crucial to determine the intrinsic characteristics of wastewaters, such as proximate composition and bacterial composition, to optimize their potential for valorization. Consequently, white and cleaning wastewaters were sampled from industrial-scale pasteurizers located in two different Canadian dairy processing plants. Bacterial profiles of dairy wastewaters were compared to those of tap waters, pasteurized skim milk and unused cleaning solutions. The results showed that the physicochemical characteristics as well as non-fat milk solids contents differed drastically between the two dairy plants due to different processing conditions. A molecular approach combining quantitative real-time polymerase chain reaction (qPCR) and metabarcoding was used to characterize the bacteria present in these solutions. The cleaning solutions did not contain sufficient genomic DNA for sequencing. In white wastewater, the bacterial contamination differed depending on the dairy plant (6.91 and 7.21 log10 16S gene copies/mL). Psychrotrophic Psychrobacter genus (50%) dominated white wastewater from plant A, whereas thermophilic Anoxybacillus genus (56%) was predominant in plant B wastewater. The use of cold or warm temperatures during the pasteurizer rinsing step in each dairy plant might explain this difference. The detailed characterization of dairy wastewaters described in this study is important for the dairy sector to clearly identify the challenges in implementing strategies for wastewater valorization.

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Section: Bacterial Genera Found In Dairy White Wastewaterssupporting

confidence: 65%

“…are heat sensitive and usually do not survive pasteurization [37]. However, Quigley, et al [38] and Ding, et al [39] showed that low numbers of Pseudomonas sp. could survive through commercial pasteurization and may contribute to the pasteurized milk microflora.…”

Section: Bacterial Genera Found In Dairy White Wastewatersmentioning

confidence: 99%

Characterization of Chemical and Bacterial Compositions of Dairy Wastewaters

Alalam

Ben-Souilah

Lessard

et al. 2021

Dairy

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“…Our results were consistent with another study, in which it was also reported that Gram-negative bacteria were more abundant than Gram-positive bacteria in all samples. Microorganisms in raw milk are mainly Proteobacteria, Firmicutes, Cyanobacteria, Actinobacteria, Bacteroidetes , and Verrucomicrobia , while Proteobacteria and Firmicutes are still the dominant phyla in pasteurized milk samples ( 38 ). Another study found that the primary bacterial communities in raw milk were Firmicutes, Actinobacteria, Bacteroidetes, Proteobacteria , and Tenericutes ( 39 ).…”

Section: Discussionmentioning

confidence: 99%

“…These are the most common reasons for milk spoilage and shortened shelf-life of milk products ( 46 ). In addition, Pseudomonas are dominant in the microflora of raw milk ( 38 ). In our study, Acinetobacter, Macrococcus, Pseudomonas , and Lactococcus were the most abundant in the microflora of raw milk and products.…”

Section: Discussionmentioning

confidence: 99%

Source Tracker Modeling Based on 16S rDNA Sequencing and Analysis of Microbial Contamination Sources for Pasteurized Milk

Meng

et al. 2022

Front. Nutr.

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Milk is rich in fat, protein, minerals, vitamins, peptides, immunologically active substances, and other nutrients, and it plays an important role in satisfying human nutrition and health. However, dairy product safety incidents caused by microbial contamination have occurred. We found that the total bacterial numbers in the pasteurized product were low and far below the limit requirements of the food safety standards of the European Union, the United States, and China. At the genus level, the primary microbial groups found in milk samples were Acinetobacter, Macrococcus, Pseudomonas, and Lactococcus, while in the equipment rinse water and air samples there was contamination by Stenotrophomonas and Acinetobacter. The Source Tracker model analysis indicated that the microorganisms in the final milk products were significantly related to the contamination in product tanks and raw milk. Therefore, it is the hope that this work can provide guidance to pinpoint contamination problems using the proper quality control sampling at specific stages in the pasteurization process.

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“…In 2019, Welch et al proposed the site-specialist hypothesis for oral microbiota [7] and the original concept of micron-scale structure, which de nes the microbial habitats and niches in combination with short-and long-range interactions [8]. To date, the characterization of the microbiota in different elds has been recognized by high-throughput identi cation of microbes with 16S rRNA genes [9][10][11][12][13][14][15]. The importance of spatial organization in microbial ecology has been highlighted in various aspects including the gut microbiota [16], the upper respiratory tract [17], and the mouth ecosystem [18][19][20][21].…”

Section: Introductionmentioning

confidence: 99%

Niche-Specialist And Age-Related Microbial Ecosystem: Correlation Analysis With Immune Cells In Oral Homeostasis

Lin

Yang

et al. 2021

Preprint

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Background: The oral microbial ecosystem, with distinct characteristics in structure and evolution, plays an important role in the mucosal homeostasis. The characterization of baseline microbial and functional diversity in the oral microbiome has been discussed, yet the taxon-taxon relationships, and the role of the microbes themselves to the host mucosa are still lack of discussing. In addition, the current literature seems insufficient to draw a definitive conclusion about a possible impact of ageing on the oral microbiota. Therefore, the study focuses on the spatial and temporal characteristics of the oral microbial ecosystem, and its correlation with immune cell in oral homeostasis. Results: The V3V4 region of 16S rRNA gene of 30 samples from different sites (gingiva, palate, buccal, tongue) and life stages (adult, old) was analyzed. Flow cytometry was used to investigate the residing immune cells. The niche-specialist and age-related communities, characterized by alterations in microbiota structure, taxon-taxon relationship, microbial functions, and immune cell inhabiting, have been addressed. Interestingly, network analysis shows more antagonistic interactions in gingiva, palatal site, and old mice saliva, where harbor a richer diversity. While in buccal mucosa and tongue, it appears more synergic interactions to maintain the ecosystem balance. Functional analysis reveals that the significant factor that determines the niche for a microbe is its local habitat in the content of one specific age, which includes its immediate neighbors. Correlation analysis suggests strong associations between distinct oral bacteria and Th cells exist in different life stages. Conclusions: Our findings propose that the oral microbial ecosystem, with niche-specialist and age-related characteristics, has unique evolution and co-evolution with the host to maintain oral homeostasis, which provides critical insights on mucosal microbiology.

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High-throughput sequencing provides new insights into the roles and implications of core microbiota present in pasteurized milk

Cited by 25 publications

References 37 publications

Characterization of Chemical and Bacterial Compositions of Dairy Wastewaters

Characterization of Chemical and Bacterial Compositions of Dairy Wastewaters

Source Tracker Modeling Based on 16S rDNA Sequencing and Analysis of Microbial Contamination Sources for Pasteurized Milk

Niche-Specialist And Age-Related Microbial Ecosystem: Correlation Analysis With Immune Cells In Oral Homeostasis

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