Pang Maoda, Xie Xing, Bao Hongduo, Sun Lichang, He Tao, Zhao Hang, Zhou Yan, Zhang Lili, Zhang Hui, Wei Ruicheng, Xie Kaizhou, Wang Ran
Key Laboratory of Control Technology and Standard for Agro-product Safety and Quality, Jiangsu Key Laboratory for Food Quality and Safety-State Key Laboratory Cultivation Base of Ministry of Science and Technology, Institute of Food Safety and Nutrition, Jiangsu Academy of Agricultural Sciences, Nanjing, China.
Key Laboratory of Veterinary Biological Engineering and Technology, Institute of Veterinary Medicine, Ministry of Agriculture, Jiangsu Academy of Agricultural Sciences, Nanjing, China.
Front Microbiol. 2018 Oct 16;9:2379. doi: 10.3389/fmicb.2018.02379. eCollection 2018.
Bovine mastitis continues to be a complex disease associated with significant economic loss in dairy industries worldwide. The incidence rate of subclinical mastitis (IRSCM) can show substantial variation among different farms; however, the milk microbiota, which have a direct influence on bovine mammary gland health, have never been associated with the IRSCM. Here, we aimed to use high-throughput DNA sequencing to describe the milk microbiota from two dairy farms with different IRSCMs and to identify the predominant mastitis pathogens along with commensal or potential beneficial bacteria. Our study showed that , , and were the mastitis-causing pathogens in farm A (with a lower IRSCM), while and were the mastitis-causing pathogens in farm B (with a higher IRSCM). The relative abundance of all pathogens in farm B (22.12%) was higher than that in farm A (9.82%). However, the genus was more prevalent in farm A. These results may be helpful for explaining the lower IRSCM in farm A. Additionally, the gut-associated genera , , , , and were prevalent in all milk samples, suggesting gut bacteria can be one of the predominant microbial contamination in milk. Moreover, (a foodborne pathogen) was found to be prevalent in farm A, even though it had a lower IRSCM. Overall, our study showed complex diversity between the milk microbiota in dairy farms with different IRSCMs. This suggests that variation in IRSCMs may not only be determined by the heterogeneity and prevalence of mastitis-causing pathogens but also be associated with potential beneficial bacteria. In the future, milk microbiota should be considered in bovine mammary gland health management. This would be helpful for both the establishment of a targeted mastitis control system and the control of the safety and quality of dairy products.
奶牛乳腺炎仍然是一种复杂的疾病，在全球乳制品行业中造成重大经济损失。亚临床乳腺炎的发病率（IRSCM）在不同农场之间可能存在很大差异；然而，对奶牛乳腺健康有直接影响的乳汁微生物群从未与IRSCM相关联。在这里，我们旨在使用高通量DNA测序来描述来自两个具有不同IRSCM的奶牛场的乳汁微生物群，并识别主要的乳腺炎病原体以及共生或潜在有益细菌。我们的研究表明， 、 和 是农场A（IRSCM较低）的致乳腺炎病原体，而 和 是农场B（IRSCM较高）的致乳腺炎病原体。农场B中所有病原体的相对丰度（22.12%）高于农场A（9.82%）。然而， 属在农场A中更为普遍。这些结果可能有助于解释农场A中较低的IRSCM。此外，与肠道相关的 属、 属、 属、 属和 属在所有乳汁样本中都很普遍，这表明肠道细菌可能是乳汁中主要的微生物污染源之一。此外， （一种食源性病原体）在农场A中也很普遍，尽管其IRSCM较低。总体而言，我们的研究表明，具有不同IRSCM的奶牛场乳汁微生物群之间存在复杂的多样性。这表明，IRSCM的差异可能不仅由致乳腺炎病原体的异质性和流行率决定，还可能与潜在有益细菌有关。未来，在奶牛乳腺健康管理中应考虑乳汁微生物群。这将有助于建立有针对性的乳腺炎控制系统以及控制乳制品的安全性和质量。
