| Literature DB >> 33419337 |
Yifan Zhong1, Ming-Yuan Xue1, Hui-Zeng Sun1, Teresa G Valencak1, Le Luo Guan2, Jianxin Liu1.
Abstract
Mastitis is one of the major problems for the productivity of dairy cows and its classifications have usually been based on milk somatic cell counts (SCCs). In this study, we investigated the differences in milk production, rumen fermentation parameters, and diversity and composition of rumen and hindgut bacteria in cows with similar SCCs with the aim to identify whether they can be potential microbial biomarkers to improve the diagnostics of mastitis. A total of 20 dairy cows with SCCs over 500 × 103 cells/mL in milk but without clinical symptoms of mastitis were selected in this study. Random forest modeling revealed that Erysipelotrichaceae UCG 004 and the [Eubacterium] xylanophilum group in the rumen, as well as the Family XIII AD3011 group and Bacteroides in the hindgut, were the most influential candidates as key bacterial markers for differentiating "true" mastitis from cows with high SCCs. Mastitis statuses of 334 dairy cows were evaluated, and 96 in 101 cows with high SCCs were defined as healthy rather than mastitis according to the rumen bacteria. Our findings suggested that bacteria in the rumen and hindgut can be a new approach and provide an opportunity to reduce common errors in the detection of mastitis.Entities:
Keywords: dairy cows; hindgut bacteria; mastitis; milk production; random forest; rumen bacteria
Year: 2020 PMID: 33419337 PMCID: PMC7767203 DOI: 10.3390/microorganisms8122042
Source DB: PubMed Journal: Microorganisms ISSN: 2076-2607