Co-Occurrence Patterns of Bacterial Communities and Resistance Genes: A Comprehensive Multi-Pen Fecal Microbiome and Resistome Study in Dairy Farms

细菌群落与耐药基因的共现模式:奶牛场多栏粪便微生物组和耐药组的综合研究

阅读:1

Abstract

Antimicrobial resistance (AMR) poses a critical public health threat, with rising multidrug resistance cases compromising treatment effectiveness. Knowledge about the resistome in dairy production systems remains limited, particularly regarding lactating cows. This study investigated the microbiome and resistome across the hospital, fresh, and mid-lactation pens on 18 conventional dairy farms in California and Ohio using shotgun metagenomic sequencing of pooled fecal samples. Pooled fecal pat samples were collected as part of a larger field study using a quasi-experimental design that assigned farms to the training intervention group (six per state) or the control group (three per state). For the training intervention group, farm worker(s), identified as having the task of diagnosing and treating adult cows on the farm, participated in a training program on antimicrobial stewardship practices. Pooled fecal samples (n = 7) were collected at enrollment and 3 months after the intervention was completed on each participating farm (n = 18). A total of 10,221 bacterial species and 345 AMR genes conferring resistance to 22 antimicrobial classes were identified. The hospital pen exhibited a higher AMR gene diversity compared to fresh and mid-lactation pens (p < 0.05). Several AMR genes showed bimodal distribution, suggesting complex transmission mechanisms. Network analysis revealed distinct gene correlation profiles across pens, with the hospital pen showing fewer gene interactions. Our findings suggest that farm-level antimicrobial drug use may not be the sole or primary driver of resistome composition in pooled fecal samples from dairy cattle, highlighting the need to investigate other factors influencing AMR dynamics in livestock systems.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。