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单分子实时测序揭示了中国不同地区和季节生牛乳中细菌多样性的差异。

Single-molecule real-time sequencing reveals differences in bacterial diversity in raw milk in different regions and seasons in China.

机构信息

Chinese Academy of Inspection and Quarantine, Beijing 100176, People's Republic of China; College of Food Science and Engineering, Nanjing University of Finance and Economics, Nanjing 210023, People's Republic of China.

Chinese Academy of Inspection and Quarantine, Beijing 100176, People's Republic of China.

出版信息

J Dairy Sci. 2022 Jul;105(7):5669-5684. doi: 10.3168/jds.2021-21445. Epub 2022 May 20.

Abstract

The quality of raw milk is a key factor influencing the whole dairy processing chain. The richness and diversity of bacteria in raw milk affect its quality and safety. However, traditional microbial detection methods mainly depend on the known microbe culture and are often time consuming. Thus, the development of efficient ways for supervising any possible microbiological contamination is desiderated. In the current work, single-molecule real-time (SMRT) sequencing, developed by Pacific Biosciences (PacBio), was applied to acquire long reads and applied for discrimination of bacteria at species level. Forty samples of raw milk obtained from Beijing, Hebei, Inner Mongolia, Shanghai, and Guangdong in China during summer, autumn, and winter were investigated. Among 35 bacteria species identified in these samples, Acinetobacter albensis, Pseudomonas gessardii, Pseudomonas weihenstephanensis, and Rahnella inusitata were the bacteria with the highest relative abundance in the overall sample, whereas the bacteria with the highest relative abundance in raw milk samples of different origins and seasons are different. Significant differences in bacterial richness and bacterial community diversity in raw milk grouped according to different production areas and different sampling seasons were confirmed by Welch's t-test. Interestingly, the transport distance and transport time positively correlated with the relative abundance of Pseudomonas weihenstephanensis, suggesting that the content of this bacteria was expected to be a standard for evaluating the freshness of raw milk. Pathogens Bacillus cereus and Klebsiella pneumoniae were detected in most samples, indicating that the raw milk was at risk of contamination by pathogenic bacteria. Moreover, the findings of this study provide important evidence for quality and safety monitoring and biological control of raw milk.

摘要

原料奶的质量是影响整个乳制品加工链的关键因素。原料奶中细菌的丰富度和多样性会影响其质量和安全性。然而,传统的微生物检测方法主要依赖于已知微生物的培养,且通常耗时较长。因此,需要开发有效的方法来监测任何可能的微生物污染。在本研究中,我们应用 Pacific Biosciences(PacBio)开发的单分子实时(SMRT)测序技术获取长读长,并应用于细菌种水平的区分。我们对夏季、秋季和冬季在中国北京、河北、内蒙古、上海和广东采集的 40 份原料奶样品进行了调查。在这些样品中鉴定出的 35 种细菌中,嗜麦芽寡养单胞菌、恶臭假单胞菌、威氏假单胞菌和不动杆菌的相对丰度最高,而不同来源和不同季节的原料奶样品中相对丰度最高的细菌则不同。通过 Welch's t 检验证实,根据不同的生产地区和不同的采样季节对原料奶进行分组,其细菌丰富度和细菌群落多样性存在显著差异。有趣的是,运输距离和运输时间与威氏假单胞菌的相对丰度呈正相关,这表明该细菌的含量有望成为评估原料奶新鲜度的标准。大多数样品中都检测到了致病菌蜡样芽孢杆菌和肺炎克雷伯菌,这表明原料奶有被致病菌污染的风险。此外,本研究的结果为原料奶的质量和安全监测以及生物控制提供了重要依据。

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