CIWARS:使用纵向元基因组数据监测抗生素耐药性的Web服务器
Muhit Islam Emon1, Yat Fei Cheung1, James Stoll2
1Department of Computer Science, Virginia Tech, Blacksburg, VA 24060, USA.
Journal of molecular biology
|April 23, 2025
概括
一个新的网络服务器,水传播抗生素耐药性监测网络基础设施 (CIWARS),有助于使用废水数据监测抗生素耐药性 (AR) 趋势. 它有助于检测新出现的威胁,并告知干预措施,以打击AR传播.
科学领域:
- 环境微生物学环境微生物学
- 生物信息学是一种生物信息学.
- 公共卫生监督是对公共卫生的监督.
背景情况:
- 抗生素耐药性 (AR) 是人类和动物健康的全球性威胁.
- 基于废水的监测 (WBS) 提供了人口层面的AR监测.
- 大基因组测序提供了抗生素耐药性基因 (ARG) 的全面概况.
研究的目的:
- 开发一个在线分析平台,用于纵向的元基因组 WBS 数据.
- 引入水性抗生素耐药性监测网络基础设施 (CIWARS) 网络服务器.
- 为了促进AR趋势的表征,并为公共卫生干预提供信息.
主要方法:
- CIWARS分析了纵向的元基因组 WBS 数据.
- 它描述了ARG,细菌种类和移动遗传元素 (MGE).
- 该平台评估抗体风险,并随着时间的推移检测异常AR指标.
主要成果:
- CIWARS提供了ARG和相关分类的全面概况.
- 它确定了ARG,MGE和病原体之间的潜在关联.
- 该工具可视化时间AR趋势并检测异常.
结论:
- CIWARS是AR监测和趋势分析的宝贵工具.
- 它支持全球努力打击AR的演变和传播.
- 该平台可以为农业和公共卫生中使用抗生素的干预措施提供信息.
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