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The 16S rDNA high-throughput sequencing correlation analysis of milk and gut microbial communities in mastitis Holstein cows.

Authors :
Jiang, Chenxi
Hou, Xiaolu
Gao, Xiaona
Liu, Pei
Guo, Xiaoquan
Hu, Guoliang
Li, Qingqing
Huang, Cheng
Li, Guyue
Fang, Weile
Mai, Wanrui
Wu, Cong
Xu, Zheng
Liu, Ping
Source :
BMC Microbiology. 7/7/2023, Vol. 23 Issue 1, p1-12. 12p.
Publication Year :
2023

Abstract

This study aimed to understand the changes in the milk and gut microbiota of dairy cows with mastitis, and to further explore the relationship between mastitis and the microbiota. In this study, we extracted microbial DNA from healthy and mastitis cows and performed high-throughput sequencing using the Illumina NovaSeq sequencing platform. OTU clustering was performed to analyze complexity, multi-sample comparisons, differences in community structure between groups, and differential analysis of species composition and abundance. The results showed that there were differences in microbial diversity and community composition in the milk and feces of normal and mastitis cows, where the diversity of microbiota decreased and species abundance increased in the mastitis group. There was a significant difference in the flora composition of the two groups of samples (P < 0.05), especially at the genus level, the difference in the milk samples was Sphingomonas (P < 0.05) and Stenotrophomonas (P < 0.05), the differences in stool samples were Alistipes (P < 0.05), Flavonifractor (P < 0.05), Agathobacter (P < 0.05) and Pygmaiobacter (P < 0.05). In conclusion, the microbiota of the udder and intestinal tissues of dairy cows suffering from mastitis will change significantly. This suggests that the development of mastitis is related to the endogenous pathway of microbial intestinal mammary glands, but the mechanisms involved need further study. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
14712180
Volume :
23
Issue :
1
Database :
Academic Search Index
Journal :
BMC Microbiology
Publication Type :
Academic Journal
Accession number :
164781012
Full Text :
https://doi.org/10.1186/s12866-023-02925-7