在环境中识别抗生素耐药性基因的来源,使用微生物寻找,告知和测试框架
Corinne Wiesner-Friedman1, Rachelle E Beattie2,3, Jill R Stewart4
1Office of Research and Development, U.S. Environmental Protection Agency, Cincinnati, OH, United States.
Frontiers in microbiology
|September 21, 2023
概括
像牛和土地废物等环境来源显著增加水和沉积物中的抗菌素耐药性 (AMR) 基因,甚至在13公里外. 这凸显了针对性监测的必要性,以减轻AMR风险.
科学领域:
- 环境微生物学环境微生物学
- 公共卫生 公共卫生
- 一个健康,一个健康.
背景情况:
- 抗微生物耐药性 (AMR) 是一个日益增长的全球健康威胁,影响人类,动物和生态系统.
- 抗菌耐药性的环境来源和空间分布尚未完全理解.
研究的目的:
- 确定和量化各种环境来源对抗菌素耐药性的贡献.
- 为了确定AMR源对水生环境的空间影响.
主要方法:
- 应用了查找,告知和测试 (FIT) 模型来分析五种抗生素耐药性相关基因 (ARG).
- 来自混合用途地区的河床沉积物和地表水样本中的量化ARG.
- 建模了AMR源的基于距离的影响.
主要成果:
- 牛和陆地废物来源的AMR升高与水和沉积物中ARG (33-80%) 的显著增加相关.
- 来自这些来源的环境抗菌素贡献被检测到13公里外.
- 该FIT模型估计了AMR来源的陆上和下游影响范围.
结论:
- 牛的来源和陆地应用的废物是环境抗菌素耐药性的重要贡献者,并观察到场外迁移.
- FIT模型为了解AMR源影响提供了一个工具,并支持针对风险减轻的有针对性的监测.
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