Research Group Environmental Microbiology and Molecular Diagnostics 166-5-3 , Institute of Chemical, Environmental and Bioscience Engineering , TU Wien, 1060 Vienna , Austria.
Interuniversity Cooperation Centre Water & Health , Vienna , Austria.
Environ Sci Technol. 2018 May 1;52(9):5076-5084. doi: 10.1021/acs.est.7b04438. Epub 2018 Apr 16.
Numerous bacterial genetic markers are available for the molecular detection of human sources of fecal pollution in environmental waters. However, widespread application is hindered by a lack of knowledge regarding geographical stability, limiting implementation to a small number of well-characterized regions. This study investigates the geographic distribution of five human-associated genetic markers (HF183/BFDrev, HF183/BacR287, BacHum-UCD, BacH, and Lachno2) in municipal wastewaters (raw and treated) from 29 urban and rural wastewater treatment plants (750-4 400 000 population equivalents) from 13 countries spanning six continents. In addition, genetic markers were tested against 280 human and nonhuman fecal samples from domesticated, agricultural and wild animal sources. Findings revealed that all genetic markers are present in consistently high concentrations in raw (median log 7.2-8.0 marker equivalents (ME) 100 mL) and biologically treated wastewater samples (median log 4.6-6.0 ME 100 mL) regardless of location and population. The false positive rates of the various markers in nonhuman fecal samples ranged from 5% to 47%. Results suggest that several genetic markers have considerable potential for measuring human-associated contamination in polluted environmental waters. This will be helpful in water quality monitoring, pollution modeling and health risk assessment (as demonstrated by QMRAcatch) to guide target-oriented water safety management across the globe.
有许多细菌遗传标记可用于检测环境水中人类粪便污染的来源。然而,由于缺乏关于地理稳定性的知识,广泛应用受到限制,只能在少数几个特征明确的地区实施。本研究调查了来自六个大陆 13 个国家的 29 个城市和农村污水处理厂(750-440 万人口当量)的市政废水中(原水和处理水)五种与人类相关的遗传标记(HF183/BFDrev、HF183/BacR287、BacHum-UCD、BacH 和 Lachno2)的地理分布情况。此外,还对 280 个人类和非人类粪便样本进行了遗传标记检测,这些样本来自驯化动物、农业动物和野生动物。研究结果表明,所有遗传标记在原水(中位数 log7.2-8.0 标记当量(ME)100mL)和生物处理废水中的浓度都很高(中位数 log4.6-6.0 ME 100mL),无论位置和人口如何。不同标记在非人类粪便样本中的假阳性率在 5%-47%之间。结果表明,几种遗传标记在检测受污染环境水中的人类相关污染方面具有相当大的潜力。这将有助于水质监测、污染模型和健康风险评估(如 QMRAcatch 所示),以指导全球有针对性的水安全管理。