Department of Molecular Sciences, Swedish University of Agricultural Sciences, Box 7015, SE-750 07 Uppsala, Sweden.
Department of Molecular Sciences, Swedish University of Agricultural Sciences, Box 7015, SE-750 07 Uppsala, Sweden.
J Dairy Sci. 2022 Jan;105(1):123-139. doi: 10.3168/jds.2021-20661. Epub 2021 Oct 23.
In this study, we investigated the variation in the microbial community present in bulk tank milk samples and the potential effect of different farm management factors. Bulk tank milk samples were collected repeatedly over one year from 42 farms located in northern Sweden. Total and thermoresistant bacteria counts and 16S rRNA gene-based amplicon sequencing were used to characterize microbial community composition. The microbial community was in general heterogeneous both within and between different farms and the community composition in the bulk tank milk was commonly dominated by Pseudomonas, Acinetobacter, Streptococcus, unclassified Peptostreptococcaceae, and Staphylococcus. Principal component analysis including farm factor variables and microbial taxa data revealed that the microbial community in milk was affected by type of milking system. Milk from farms using an automatic (robot) milking system (AMS) and loose housing showed different microbial community composition compared with milk from tiestall farms. A discriminant analysis model revealed that this difference was dependent on several microbial taxa. Among farms using an automatic milking system, there were further differences in the microbial community composition depending on the brand of the milking robot used. On tiestall farms, routines for teat preparation and cleaning of the milking equipment affected the microbial community composition in milk. Total bacteria count (TBC) in milk differed between the farm types, and TBC were higher on AMS than tiestall farms (log 4.05 vs. log 3.79 TBC/mL for AMS and tiestalls, respectively). Among tiestall farms, milk from farms using a chemical agent in connection to teat preparation and a more frequent use of acid to clean the milking equipment had lower TBC in milk, than milk from farms using water for teat preparation and a less frequent use of acid to clean the milking equipment (log 3.68 vs. 4.02 TBC/mL). There were no significant differences in the number of thermoresistant bacteria between farm types. The evaluated factors explained only a small proportion of total variation in the microbiota data, however, despite this, the study highlights the effect of routines associated with teat preparation and cleaning of the milking equipment on raw milk microbiota, irrespective of type of milking system used.
在这项研究中,我们调查了批量奶样中微生物群落的变化,以及不同农场管理因素的潜在影响。从瑞典北部的 42 个农场中,我们在一年的时间里反复采集了批量奶样。我们使用总细菌和耐热细菌计数以及基于 16S rRNA 基因扩增子测序的方法来描述微生物群落组成。微生物群落总体上在不同农场内部和之间存在异质性,批量奶中的群落组成通常以假单胞菌、不动杆菌、链球菌、未分类的消化链球菌科和葡萄球菌为主。主成分分析包括农场因素变量和微生物分类群数据,结果表明,挤奶系统的类型影响牛奶中的微生物群落。与畜栏农场相比,使用自动(机器人)挤奶系统(AMS)和散栏饲养的农场的牛奶具有不同的微生物群落组成。判别分析模型表明,这种差异取决于几种微生物分类群。在使用自动挤奶系统的农场中,根据使用的挤奶机器人品牌的不同,微生物群落组成还有进一步的差异。在畜栏农场中,挤奶前的乳头准备和挤奶设备清洁的程序影响了牛奶中的微生物群落组成。牛奶中的总细菌计数(TBC)因农场类型而异,AMS 农场的 TBC 高于畜栏农场(AMS 和畜栏农场的 TBC 分别为 log4.05 和 log3.79 TBC/mL)。在畜栏农场中,使用乳头准备化学剂和更频繁使用酸清洁挤奶设备的农场的牛奶中的 TBC 低于使用水进行乳头准备和较少频繁使用酸清洁挤奶设备的农场(TBC 分别为 log3.68 和 log4.02 TBC/mL)。不同农场类型之间耐热细菌的数量没有显著差异。评估的因素仅解释了微生物组数据总变异的一小部分,但尽管如此,该研究仍强调了与乳头准备和挤奶设备清洁相关的常规操作对生奶微生物组的影响,而不论使用何种挤奶系统。