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Frontiers of Environmental Science & Engineering    2020, Vol. 14 Issue (1) : 10-     https://doi.org/10.1007/s11783-019-1189-1
REVIEW ARTICLE
Biofiltration and disinfection codetermine the bacterial antibiotic resistome in drinking water: A review and meta-analysis
Kun Wan1,2, Wenfang Lin1(), Shuai Zhu3, Shenghua Zhang1, Xin Yu1
1. Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
2. University of Chinese Academy of Sciences, Beijing 100049, China
3. Beijing Guohuan Tsinghua Environmental Engineering Design & Research Institute Co., Ltd., Beijing 100084, China
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Abstract

• Published data was used to analyze the fate of ARGs in water treatment.

• Biomass removal leads to the reduction in absolute abundance of ARGs.

• Mechanism that filter biofilm maintain ARB/ARGs was summarized.

• Potential BAR risks caused by biofiltration and chlorination were proposed.

The bacterial antibiotic resistome (BAR) is one of the most serious contemporary medical challenges. The BAR problem in drinking water is receiving growing attention. In this study, we focused on the distribution, changes, and health risks of the BAR throughout the drinking water treatment system. We extracted the antibiotic resistance gene (ARG) data from recent publications and analyzed ARG profiles based on diversity, absolute abundance, and relative abundance. The absolute abundance of ARG was found to decrease with water treatment processes and was positively correlated with the abundance of 16S rRNA (r2 = 0.963, p<0.001), indicating that the reduction of ARG concentration was accompanied by decreasing biomass. Among treatment processes, biofiltration and chlorination were discovered to play important roles in shaping the bacterial antibiotic resistome. Chlorination exhibited positive effects in controlling the diversity of ARG, while biofiltration, especially granular activated carbon filtration, increased the diversity of ARG. Both biofiltration and chlorination altered the structure of the resistome by affecting relative ARG abundance. In addition, we analyzed the mechanism behind the impact of biofiltration and chlorination on the bacterial antibiotic resistome. By intercepting influent ARG-carrying bacteria, biofilters can enrich various ARGs and maintain ARGs in biofilm. Chlorination further selects bacteria co-resistant to chlorine and antibiotics. Finally, we proposed the BAR health risks caused by biofiltration and chlorination in water treatment. To reduce potential BAR risk in drinking water, membrane filtration technology and water boiling are recommended at the point of use.

Keywords Drinking water treatment      Antibiotic resistance gene      Biofiltration      Chlorination     
发布日期: 2019-11-14
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Kun Wan
Wenfang Lin
Shuai Zhu
Shenghua Zhang
Xin Yu
引用本文:   
Kun Wan,Wenfang Lin,Shuai Zhu, et al. Biofiltration and disinfection codetermine the bacterial antibiotic resistome in drinking water: A review and meta-analysis[J]. Front. Environ. Sci. Eng., 2020, 14(1): 10.
网址:  
https://journal.hep.com.cn/fese/EN/10.1007/s11783-019-1189-1     OR     https://journal.hep.com.cn/fese/EN/Y2020/V14/I1/10
Fig.1  The diversity of ARGs in different DWTPs.
Fig.2  The impact of treatment processes on the absolute abundance of ARG based on qPCR. (a) Distribution of ARG (copies/L) in different drinking water treatment processes, the detail data are listed in Table S2; (b) Log removal of ARG by different treatment processes, the detail data are listed in Table S3.
Fig.3  The impact of treatment processes on the absolute abundance of ARG based on HT-qPCR. (a) Distribution in absolute abundance of each type of ARG. MLSB represents macrolide lincosamide-streptogramin B resistance genes, FCA represents fluoroquinolone, quinolone, florfenicol, chloramphenicol, and amphenicol resistance genes; (b) Correlation between the absolute abundance of ARG and 16S rRNA, the detail data are listed in Table S4.
Fig.4  Fold changes in relative abundance of ARGs after treated with different processes compared to the source water. The data are obtained by using HT-qPCR and is listed in Table S5.
Fig.5  The impact of treatment processes on the relative abundance of ARG at resistome level. b. “SW,” “SFW,” “OW,” “BFW,” “EW” and “BAC” represent source water, sand filtered water, ozone water, BAC filtered water, effluent and biofilm on GAC filter, respectively. Data of (a) was extracted from Xu et al. (2016); (b) was adapted from Zheng et al. (2018) with permission from author.
Fig.6  Fold changes in relative abundance of ARGs after treated with different processes compared to the raw water. The data are obtained by using HTS. Data in wastewater treatment processes was extracted from Christgen et al. (2015), while data in drinking water treatment processes was extracted from Jia et al. (2015). “RW,” “AS,” “ADS,” “EF,” “SW,” “FW” and “DW” represents raw wastewater, active sludge, anaerobic digestion sludge, effluent, source water, filtered water and disinfected water, respectively.
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