Buelow Elena, Rico Andreu, Gaschet Margaux, Lourenço José, Kennedy Sean P, Wiest Laure, Ploy Marie-Cecile, Dagot Christophe
University Limoges, INSERM, CHU Limoges, RESINFIT, U1092, F-87000, Limoges, France.
IMDEA Water Institute, Science and Technology Campus of the University of Alcalá, Avenida Punto Com 2, 28805, Alcalá de Henares, Madrid, Spain.
Water Res X. 2020 Feb 4;7:100045. doi: 10.1016/j.wroa.2020.100045. eCollection 2020 May 1.
Wastewaters (WW) are important sources for the dissemination of antimicrobial resistance (AMR) into the environment. Hospital WW (HWW) contain higher loads of micro-pollutants and AMR markers than urban WW (UWW). Little is known about the long-term dynamics of H and U WW and the impact of their joined treatment on the general burden of AMR. Here, we characterized the resistome, microbiota and eco-exposome signature of 126 H and U WW samples treated separately for three years, and then mixed, over one year. Multi-variate analysis and machine learning revealed a robust signature for each WW with no significant variation over time before mixing, and once mixed, both WW closely resembled Urban signatures. We demonstrated a significant impact of pharmaceuticals and surfactants on the resistome and microbiota of H and U WW. Our results present considerable targets for AMR related risk assessment of WW.
废水是抗菌药物耐药性（AMR）传播到环境中的重要来源。医院废水（HWW）比城市废水（UWW）含有更高负荷的微污染物和AMR标志物。关于医院和城市废水的长期动态以及它们联合处理对AMR总体负担的影响，人们了解甚少。在此，我们对126份医院和城市废水样本的耐药基因组、微生物群和生态暴露组特征进行了表征，这些样本先分别处理三年，然后混合处理一年。多变量分析和机器学习揭示了每种废水的稳健特征，在混合前随时间没有显著变化，并且一旦混合，两种废水都与城市废水特征非常相似。我们证明了药物和表面活性剂对医院和城市废水的耐药基因组和微生物群有显著影响。我们的结果为废水的AMR相关风险评估提供了相当多的目标。
