KWR Watercycle Research Institute, Groningenhaven 7, 3433PE Nieuwegein, the Netherlands; Delft University of Technology, Faculty of Civil Engineering & Geosciences, Department of Water Management, Stevinweg 1, 2628CN Delft, The Netherlands.
KWR Watercycle Research Institute, Groningenhaven 7, 3433PE Nieuwegein, the Netherlands.
Sci Total Environ. 2020 Mar 1;706:135733. doi: 10.1016/j.scitotenv.2019.135733. Epub 2019 Nov 26.
The aim of this study was to capture and explain changes in antibiotic resistance gene (ARG) presence and concentration internationally across the Rhine river. Intl1 concentrations and national antibiotic usage were investigated as proxies to predict anthropogenic ARG pollution. Newly-developed multiplex qPCR assays were employed to investigate ARG profiles across 8 locations (L1-L8) in three countries (Switzerland, Germany, the Netherlands) and to detect potential regional causes for variation. Two of these locations were further monitored, over the duration of one month. A total of 13 ARGs, Intl1 and 16S rRNA were quantified. ARG presence and concentrations initially increased from L1(Diepoldsau) to L3(Darmstadt). A continuous increase could not be observed at subsequent locations, with the large river volume likely being a major contributing factor for stability. ARG presence and concentrations fluctuated widely across different locations. L2(Basel) and L3 were the two most polluted locations, coinciding with these locations being well-developed pharmaceutical production locations. We draw attention to the characteristic, clearly distinct ARG profiles, with gene presence being consistent and gene concentrations varying significantly less over time than across different locations. Five genes were Rhine-typical (ermB, ermF, Intl1, sul1 and tetM). Intl1 and sul1 were the genes with highest and second-highest concentration, respectively. Aph(III)a and bla were permanently introduced downstream of L1, indicating no source of these genes prior to L1. We highlight that correlations between Intl1 and ARG concentrations (R = 0.72) were driven by correlations to sul1 and disappeared when excluding sul1 from the analysis (R = 0.05). Intl1 therefore seems to be a good proxy for sul1 concentrations but not necessarily for overall (anthropogenic) ARG pollution. Aminoglycoside usage per country correlated with concentrations of aph(III)a and several unrelated antibiotic resistance genes (blaermB, ermF and tetM). This correlation can be explained by co-resistance caused by mobile genetic elements (MGEs), such as Tn1545.
本研究旨在捕捉和解释国际莱茵河流域抗生素耐药基因 (ARG) 存在和浓度的变化。研究采用 Intl1 浓度和国家抗生素使用量作为预测人为 ARG 污染的替代指标。新开发的多重 qPCR 检测方法用于调查三个国家(瑞士、德国、荷兰)8 个地点 (L1-L8) 的 ARG 图谱,并检测潜在的区域变化原因。其中两个地点在一个月的时间内进行了进一步监测。总共定量了 13 个 ARG、Intl1 和 16S rRNA。ARG 的存在和浓度最初从 L1(Diepoldsau) 增加到 L3(Darmstadt)。在随后的地点,无法观察到连续增加,大河流体积可能是稳定的主要因素。ARG 的存在和浓度在不同地点波动很大。L2(Basel) 和 L3 是污染最严重的两个地点,这与这些地点是制药业发达的地区相对应。我们提请注意特征明显的、明显不同的 ARG 图谱,基因的存在是一致的,基因浓度在不同地点之间的变化明显小于随时间的变化。有 5 个基因是莱茵河特有的(ermB、ermF、Intl1、sul1 和 tetM)。Intl1 和 sul1 是浓度最高和第二高的基因。Aph(III)a 和 bla 永久性地引入到 L1 的下游,表明在 L1 之前没有这些基因的来源。我们强调,Intl1 与 ARG 浓度之间的相关性(R = 0.72)是由与 sul1 的相关性驱动的,当从分析中排除 sul1 时,相关性消失(R = 0.05)。因此,Intl1 似乎是 sul1 浓度的良好替代物,但不一定是整体(人为)ARG 污染的替代物。每个国家的氨基糖苷类药物使用量与 aph(III)a 和几个不相关的抗生素耐药基因(blaermB、ermF 和 tetM)的浓度相关。这种相关性可以用移动遗传元件 (MGEs) 引起的共耐药来解释,如 Tn1545。