4.8 Article

Trace levels of sewage effluent are sufficient to increase class 1 integron prevalence in freshwater biofilms without changing the core community

期刊

WATER RESEARCH
卷 106, 期 -, 页码 163-170

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.watres.2016.09.035

关键词

Antibiotic resistance; Sewage effluent; Biofilms; Class 1 integron-integrase gene; River health; River ecology

资金

  1. NERC Centre for Ecology & Hydrology National Capability through the CEH Thames Initiative [NEC04877]
  2. NERC-Knowledge Transfer (PREPARE) Initiative [NE/F009216/1]
  3. NERC
  4. NERC [NE/N019687/1, NE/M011674/1, ceh020007] Funding Source: UKRI
  5. Natural Environment Research Council [ceh020007] Funding Source: researchfish

向作者/读者索取更多资源

Most river systems are impacted by sewage effluent. It remains unclear if there is a lower threshold to the concentration of sewage effluent that can significantly change the structure of the microbial community and its mobile genetic elements in a natural river biofilm. We used novel in situ mesocosms to conduct replicated experiments to study how the addition of low-level concentrations of sewage effluent (nominally 2.5 ppm) affects river biofilms in two contrasting Chalk river systems, the Rivers Kennet and Lambourn (high/low sewage impact, respectively). 16S sequencing and qPCR showed that community composition was not significantly changed by the sewage effluent addition, but class 1 integron prevalence (Lambourn control 0.07% (SE +/- 0.01), Lambourn sewage effluent 0.11% (SE +/- 0.006), Kennet control 0.56% (SE +/- 0.01), Kennet sewage effluent 1.28% (SE +/- 0.16)) was significantly greater in the communities exposed to sewage effluent than in the control flumes (ANOVA, F = 5.11, p = 0.045) in both rivers. Furthermore, the difference in integron prevalence between the Kennet control (no sewage effluent addition) and Kennet sewage-treated samples was proportionally greater than the difference in prevalence between the Lambourn control and sewage-treated samples (ANOVA (interaction between treatment and river), F = 6.42, p = 0.028). Mechanisms that lead to such differences could include macronutrient/biofilm or phage/bacteria interactions. Our findings highlight the role that low-level exposure to complex polluting mixtures such as sewage effluent can play in the spread of antibiotic resistance genes. The results also highlight that certain conditions, such as macronutrient load, might accelerate spread of antibiotic resistance genes. (C) 2016 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据