Sun Miao, Shao Wei, Liu Zhengyu, Ma Xianlan, Chen He, Zheng Nan, Zhao Yankun
Institute of Quality Standards and Testing Technology for Agro-Products, Xinjiang Academy of Agricultural Sciences, Laboratory of Quality and Safety Risk Assessment for Agro-products, Ministry of Agriculture, Urumqi, China.
College of Animal Science Xinjiang Agriculture University, Urumqi, China.
Front Microbiol. 2024 Mar 11;15:1367116. doi: 10.3389/fmicb.2024.1367116. eCollection 2024.
The quality of raw camel milk is affected by its bacterial composition and diversity. However, few studies have investigated the bacterial composition and diversity of raw camel milk. In this study, we obtained 20 samples of camel milk during spring and summer in Urumqi and Hami, Xinjiang, China. Single-molecule real-time sequencing technology was used to analyze the bacterial community composition. The results revealed that there were significant seasonal differences in the bacterial composition and diversity of camel milk. Overall, was the most abundant bacterial genus in our samples. Through the annotated genes inferred by PICRUSt2 were mapped against KEGG database. Non-parametric analysis of the bacterial community prediction function revealed a strong bacterial interdependence with metabolic pathways (81.83%). There were clear regional and seasonal differences in level 3 metabolic pathways such as fat, vitamins, and amino acids in camel milk. In addition, we identified lactic acid bacteria in camel milk with antibacterial and anti-tumor activities. Our findings revealed that camel milk from Xinjiang had serious risk of contamination by psychrophilic and pathogenic bacteria. Our research established a crucial theoretical foundation for ensuring the quality and safety of camel milk, thereby contributing significantly to the robust growth of China's camel milk industry.
生驼奶的质量受其细菌组成和多样性的影响。然而,很少有研究调查生驼奶的细菌组成和多样性。在本研究中,我们在中国新疆乌鲁木齐和哈密的春季和夏季采集了20份驼奶样本。采用单分子实时测序技术分析细菌群落组成。结果表明,驼奶的细菌组成和多样性存在显著的季节差异。总体而言, 是我们样本中最丰富的细菌属。通过PICRUSt2推断的注释基因与KEGG数据库进行比对。细菌群落预测功能的非参数分析显示,细菌与代谢途径存在很强的相互依赖性(81.83%)。驼奶中脂肪、维生素和氨基酸等三级代谢途径存在明显的区域和季节差异。此外,我们在驼奶中鉴定出具有抗菌和抗肿瘤活性的乳酸菌。我们的研究结果表明,新疆驼奶存在被嗜冷菌和病原菌污染的严重风险。我们的研究为确保驼奶的质量和安全奠定了关键的理论基础,从而为中国驼奶产业的蓬勃发展做出了重大贡献。
原文中“Overall, was the most abundant bacterial genus in our samples.”这里有缺失信息。