Zhu Huan, Miao Renfang, Tao Xinxu, Wu Jianhao, Liu Licheng, Qu Jiachen, Liu Hongzhi, Sun Yanting, Li Lingyan, Qu Yongli
Heilongjiang Key Laboratory of Efficient Utilization of Feed Resources and Nutrition Manipulation in Cold Region, College of Animal Science and Veterinary Medicine, Heilongjiang Bayi Agricultural University, No. 5 Xinyang Road, Daqing 163319, China.
Key Laboratory of Low-Carbon Green Agriculture in Northeastern China, Ministry of Agriculture and Rural Affairs P. R. China, Heilongjiang Bayi Agricultural University, No. 5 Xinyang Road, Daqing 163319, China.
Animals (Basel). 2023 Jun 8;13(12):1923. doi: 10.3390/ani13121923.
The present experiment was carried out to analyze the longitudinal changes in milk microorganisms. For this purpose, milk samples were collected from 12 healthy cows ( = 96; six primiparous cows and six multiparous cows) at eight different time points. The characteristics and variations in microbial composition were analyzed by 16S rRNA gene high-throughput sequencing. In the primiparous group, higher and more stable alpha diversity was observed in transitional and mature milk compared with the colostrum, with no significant difference in alpha diversity at each time point in the multiparous group. Proteobacteria, Firmicutes, Bacteroidota, and Actinobacteriota were the most dominant phyla, and , , , , , , , , and were the most dominant genera in both primiparous and multiparous cow milk. Some typically gut-associated microbes, such as , , and , etc., were enriched in the two groups. Biomarker taxa with the day in time (DIM) were identified by a random forest algorithm, with showing the highest degree of interpretation, and the difference in milk microbiota between the two groups was mainly reflected in 0 d-15 d. Additionally, network analysis suggested that there were bacteria associated with the total protein content in milk. Collectively, our results disclosed the longitudinal changes in the milk microbiota of primiparous and multiparous cows, providing further evidence in dairy microbiology.
本实验旨在分析牛奶微生物的纵向变化。为此,在八个不同时间点从12头健康奶牛(n = 96;6头初产奶牛和6头经产奶牛)采集牛奶样本。通过16S rRNA基因高通量测序分析微生物组成的特征和变化。在初产组中,与初乳相比,过渡乳和成熟乳中观察到更高且更稳定的α多样性,经产组各时间点的α多样性无显著差异。变形菌门、厚壁菌门、拟杆菌门和放线菌门是最主要的门类,在初产和经产奶牛乳中,[此处原文缺失具体属名]等是最主要的属。一些典型的与肠道相关的微生物,如[此处原文缺失具体微生物名称]等,在两组中均有富集。通过随机森林算法确定了随泌乳天数(DIM)变化的生物标志物分类群,[此处原文缺失具体分类群名称]的解释度最高,两组牛奶微生物群的差异主要体现在0 d - 15 d。此外,网络分析表明存在与牛奶总蛋白含量相关的细菌。总体而言,我们的结果揭示了初产和经产奶牛牛奶微生物群的纵向变化,为乳品微生物学提供了进一步的证据。