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污水监测追踪污水系统中人类抗生素抗性基因的特征。

Sewerage surveillance tracking characteristics of human antibiotic resistance genes in sewer system.

机构信息

School of Environment, State Key Joint Laboratory of Environment Simulation and Pollution Control, Tsinghua University, Beijing 100084, China; Institute of Water Environment Research, Chinese Research Academy of Environmental Sciences, Beijing 100012, China.

School of Environment, State Key Joint Laboratory of Environment Simulation and Pollution Control, Tsinghua University, Beijing 100084, China.

出版信息

Sci Total Environ. 2024 Nov 20;952:175850. doi: 10.1016/j.scitotenv.2024.175850. Epub 2024 Aug 27.

Abstract

Sewage surveillance is widely applied to track valid human excretion information and identify public health conditions during corona virus disease 2019 (COVID-19) pandemic. This approach can be applied to monitor the antibiotic resistance level in sewers and to assess the risk of spreading antibiotic resistance in municipal wastewater systems. However, there is still little information about human antibiotic resistance occurrence characteristics in sewer system. This study conducted a field trial for whole year to advance understanding on spatial and temporal occurrence of antibiotic resistance genes (ARGs) in gravity sewerage. The spatial distribution of ARGs along the drainage pipe line (from human settlements to wastewater treatement pant (WWTP)) was insignificant, which may be affected by irregular human emission alongside the pipeline. The correlation between ARGs and antibiotics in sewage was insignificant. The temporal distribution showed that the effect of temperature on ARGs abundance was evident, the ARGs abundance in sewage was generally higher during the cold season. Metagenomic analysis revealed that the detected ARGs were mainly distributed in Proteobacteria (47.51 %) and Antinobacteria (20.11 %). Potential hosts of ARGs in sewage were mainly identified as human gut microorganisms, including human pathogenic bacteria, such as Prevotella, Kocuria, and Propionibacterium, etc. This study provides a new insight into the sewerage surveillance tracking characteristics of human ARGs in sewer system, and suggesting that the sewage-carried ARGs surveillance is a promising method for assessment and management of antibiotic resistance level on population size.

摘要

污水监测广泛应用于追踪有效的人类排泄物信息,并在 2019 年冠状病毒病(COVID-19)大流行期间识别公共卫生状况。这种方法可用于监测污水中的抗生素耐药水平,并评估城市废水系统中抗生素耐药传播的风险。然而,关于污水系统中人类抗生素耐药性发生特征的信息仍然很少。本研究进行了为期一年的实地试验,以深入了解重力污水中抗生素耐药基因(ARGs)的时空发生情况。ARGs 沿排水管道(从人类住区到污水处理厂(WWTP))的空间分布不显著,这可能受到沿管道不规则的人类排放的影响。ARGs 与污水中的抗生素之间没有相关性。时间分布表明,温度对 ARGs 丰度的影响明显,污水中 ARGs 的丰度在寒冷季节通常较高。宏基因组分析显示,检测到的 ARGs 主要分布在变形菌门(47.51%)和放线菌门(20.11%)。污水中 ARGs 的潜在宿主主要鉴定为人类肠道微生物,包括人类致病菌,如普雷沃氏菌、科库利亚菌和丙酸杆菌等。本研究为污水监测追踪污水系统中人类 ARGs 的特征提供了新的见解,并表明污水携带的 ARGs 监测是评估和管理人群抗生素耐药水平的一种有前途的方法。

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