石河子地区奶牛隐性乳房炎病原微生物的培养鉴定及微生物群落分析OA

The experiment aimed to investigate the impact of subclinical mastitis(SCM)in dairy cows in Shihezi area on milk microbiota.A total of 105 milk samples were screened based on the measurement of cow production performance(DHI)data,and pathogenic bacteria were isolated,cultured,and identified by PCR.According to the identification results,the samples were divided into three groups,namely Staphylococcus aureus detection group(group SG),Streptococcus detection group(group GBS),and control group(group HG),with six cows per group.The microbial community structure in the three groups of milk samples was analyzed by high-throughput sequencing of 16S rRNA V3-V4 regions.The results showed that the overall pathogen detection rate of 105 samples was 89.39%,and the detection rate of Staphylococcus aureus(71.43%)was higher than other pathogens.Alpha diversity analysis showed that there was no significant difference in species richness and diversity among the three groups(P>0.05).Linear discriminant analysis effect size(LEfSe)analysis revealed enrichment of Proteobacteria in the group GBS.There was no significant difference between SG group and other groups(P>0.05).Functional prediction revealed that the group GBS was significantly enriched in pathways such as purine metabolism,DNA repair and recombinant proteins,which may be related to pathogen colonization and immune evasion mechanisms.The study shows that the main pathogen causing SCM in dairy cows in Shihezi area is Staphylococcus aureus.Both types of pathogens causing SCM have disrupted the mammary microbiota environment,which may lead to exacerbation of infection.