Please wait a minute...
Frontiers of Environmental Science & Engineering

ISSN 2095-2201

ISSN 2095-221X(Online)

CN 10-1013/X

邮发代号 80-973

2018 Impact Factor: 3.883

Frontiers of Environmental Science & Engineering  2019, Vol. 13 Issue (3): 45   https://doi.org/10.1007/s11783-019-1136-1
  本期目录
Assessment of antibiotic resistance genes in dialysis water treatment processes
Xuan Zhu1, Chengsong Ye2, Yuxin Wang1, Lihua Chen2,3(), Lin Feng4()
1. No.2 Hospital of Xiamen City, Xiamen 361021, China
2. Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
3. Faculty of Civil Engineering and Geosciences, Delft University of Technology, Delft 2600 AA, The Netherlands
4. School of the Environment, Renmin University of China, Beijing 100872, China
 全文: PDF(636 KB)   HTML
Abstract

• Quantitative global ARGs profile in dialysis water was investigated.

• Totally 35 ARGs were found in the dialysis treatment train.

• 29 ARGs (highest) were found in carbon filtration effluent.

erm and mtrD-02 occurred in the final effluent.

• The effluent was associated with health risks even after RO treatment.

Dialysis water is directly related to the safety of hemodialysis patients, thus its quality is generally ensured by a stepwise water purification cascade. To study the effect of water treatment on the presence of antibiotic resistance genes (ARGs) in dialysis water, this study used propidium monoazide (PMA) in conjunction with high throughput quantitative PCR to analyze the diversity and abundance of ARGs found in viable bacteria from water having undergone various water treatment processes. The results indicated the presence of 35 ARGs in the effluents from the different water treatment steps. Twenty-nine ARGs were found in viable bacteria from the effluent following carbon filtration, the highest among all of the treatment processes, and at 6.96 Log (copies/L) the absolute abundance of the cphA gene was the highest. Two resistance genes, erm (36) and mtrD-02, which belong to the resistance categories macrolides-lincosamides-streptogramin B (MLSB) and other/efflux pump, respectively, were detected in the effluent following reverse osmosis treatment. Both of these genes have demonstrated the potential for horizontal gene transfer. These results indicated that the treated effluent from reverse osmosis, the final treatment step in dialysis-water production, was associated with potential health risks.

Key wordsDialysis water    Treatment process    Antibiotic resistance gene    High-throughput quantitative PCR    Horizontal gene transfer
收稿日期: 2019-02-27      出版日期: 2019-06-26
Corresponding Author(s): Lihua Chen,Lin Feng   
 引用本文:   
. [J]. Frontiers of Environmental Science & Engineering, 2019, 13(3): 45.
Xuan Zhu, Chengsong Ye, Yuxin Wang, Lihua Chen, Lin Feng. Assessment of antibiotic resistance genes in dialysis water treatment processes. Front. Environ. Sci. Eng., 2019, 13(3): 45.
 链接本文:  
https://academic.hep.com.cn/fese/CN/10.1007/s11783-019-1136-1
https://academic.hep.com.cn/fese/CN/Y2019/V13/I3/45
Fig.1  
AVE TW SF WS CF RO
Temperature (°C) 21.24 20.28 20.42 20.78 25.60
DO (mg/L) 8.66 8.64 8.52 8.65 8.06
Residual chlorine (mg/L) 0.73 0.63 0.40 0.02 0.01
Conductivity (ms/cm) 91 106 112 92
pH 6.46 6.56 6.67 6.73 6.86
Turbidity (NTU) 0.17 0.20 0.18 0.23 0.08
NO3--N (mg/L) 1.73 1.95 2.13 1.73
NO2--N (mg/L)
NH4+-N (mg/L) 0.04 0.03 0.03 0.04 0.04
PO43--P (mg/L) 0.01 0.01 0.01
TOC (mg/L) 1.12 1.08 1.19 1.05 0.11
Ca2+ (mg/L) 8.62 8.00
Mg2+ (mg/L) 1.52 1.40 0.01
Total bacteria /100mL 3 60 130 1.15E+ 04 45
Tab.1  
Fig.2  
Fig.3  
Fig.4  
Fig.5  
1 H K Allen, J Donato, H H Wang, K A Cloud-Hansen, J Davies, J Handelsman (2010). Call of the wild: Antibiotic resistance genes in natural environments. Nature Reviews. Microbiology, 8(4): 251–259
https://doi.org/10.1038/nrmicro2312 pmid: 20190823
2 E Barbau-Piednoir, S Bertrand, J Mahillon, N H Roosens, N Botteldoorn (2013). SYBR®Green qPCR Salmonella detection system allowing discrimination at the genus, species and subspecies levels. Applied Microbiology and Biotechnology, 97(22): 9811–9824
https://doi.org/10.1007/s00253-013-5234-x pmid: 24113820
3 C Bouki, D Venieri, E Diamadopoulos (2013). Detection and fate of antibiotic resistant bacteria in wastewater treatment plants: a review. Ecotoxicology and Environmental Safety, 91(4): 1–9
https://doi.org/10.1016/j.ecoenv.2013.01.016 pmid: 23414720
4 M J Damasiewicz, K R Polkinghorne, P G Kerr (2012). Water quality in conventional and home haemodialysis. Nature Reviews. Nephrology, 8(12): 725–734
https://doi.org/10.1038/nrneph.2012.241 pmid: 23090444
5 Z Diao, H Sang (2015). Hemodialysis water treatment system and water quality monitoring. Medical Equipment, 28(1): 31–34
6 K Friehs (2004). Plasmid copy number and plasmid stability. Advances in Biochemical Engineering/Biotechnology, 86(1): 47–82
https://doi.org/10.1007/b12440 pmid: 15088763
7 N A Junglee, S U Rahman, M Wild, A Wilms, S Hirst, M Jibani, J R Seale (2010). When pure is not so pure: Chloramine-related hemolytic anemia in home hemodialysis patients. Hemodialysis International. International Symposium on Home Hemodialysis, 14(3): 327–332
https://doi.org/10.1111/j.1542-4758.2010.00454.x pmid: 20618875
8 T Looft, T A Johnson, H K Allen, D O Bayles, D P Alt, R D Stedtfeld, W J Sul, T M Stedtfeld, B Chai, J R Cole, S A Hashsham, J M Tiedje, T B Stanton (2012). In-feed antibiotic effects on the swine intestinal microbiome. Proceedings of the National Academy of Sciences of the United States of America, 109(5): 1691–1696
https://doi.org/10.1073/pnas.1120238109 pmid: 22307632
9 G Pontoriero, P Pozzoni, S Andrulli, F Locatelli (2004). The quality of dialysis water. Journal of Italian Nephrology, 21(Supplementary 30): S42–S45
pmid: 15747302
10 A Pruden, R Pei, H Storteboom, K H Carlson (2006). Antibiotic resistance genes as emerging contaminants: studies in northern Colorado. Environmental Science & Technology, 40(23): 7445–7450
https://doi.org/10.1021/es060413l pmid: 17181002
11 T Z Quan (2010). Selective detection of viable pathogens in water using propidium monoazide combined with qPCR and its application. Dissertation for the Doctoral Degree. Beijing: Tsinghua University (in Chinese)
12 M C Roberts (2003). Acquired tetracycline and/or macrolide-lincosamides-streptogramin resistance in anaerobes. Anaerobe, 9(2): 63–69
https://doi.org/10.1016/S1075-9964(03)00058-1 pmid: 16887689
13 M Rysz, P J J Alvarez (2004). Amplification and attenuation of tetracycline resistance in soil bacteria: Aquifer column experiments. Water Research, 38(17): 3705–3712
https://doi.org/10.1016/j.watres.2004.06.015 pmid: 15350422
14 T Schwartz, W Kohnen, B Jansen, U Obst (2003). Detection of antibiotic-resistant bacteria and their resistance genes in wastewater, surface water, and drinking water biofilms. FEMS Microbiology Ecology, 43(3): 325–335
https://doi.org/10.1111/j.1574-6941.2003.tb01073.x pmid: 19719664
15 A Shahryari, M Nikaeen, M Hatamzadeh, M Vahid Dastjerdi, A Hassanzadeh (2016). Evaluation of bacteriological and chemical quality of dialysis water and fluid in Isfahan, central Iran. Iranian Journal of Public Health, 45(5): 650–656
pmid: 27398338
16 State Food & Drug Administration of China (2005). Standard for Water for Haemodialysis and Related Therapies. Beijing: State Food & Drug Administration of China
17 N van den Braak, A van Belkum, M van Keulen, J Vliegenthart, H A Verbrugh, H P Endtz (1998). Molecular characterization of vancomycin-resistant Enterococci from hospitalized patients and poultry products in The Netherlands. Journal of Clinical Microbiology, 36(7): 1927–1932
pmid: 9650938
18 T R Walsh, J Weeks, D M Livermore, M A Toleman (2011). Dissemination of NDM-1 positive bacteria in the New Delhi environment and its implications for human health: An environmental point prevalence study. Lancet. Infectious Diseases, 11(5): 355–362
https://doi.org/10.1016/S1473-3099(11)70059-7 pmid: 21478057
19 C Xi, Y Zhang, C F Marrs, W Ye, C Simon, B Foxman, J Nriagu (2009). Prevalence of antibiotic resistance in drinking water treatment and distribution systems. Applied and Environmental Microbiology, 75(17): 5714–5718
https://doi.org/10.1128/AEM.00382-09 pmid: 19581476
20 W Xiong, Y Sun, T Zhang, X Ding, Y Li, M Wang, Z Zeng (2015). Antibiotics, antibiotic resistance genes, and bacterial community composition in fresh water aquaculture environment in China. Microbial Ecology, 70(2): 425–432
https://doi.org/10.1007/s00248-015-0583-x pmid: 25753824
21 L Xu, Y Qian, C Su, W Cheng, J Li, M L Wahlqvist, H Chen (2016). Prevalence of bacterial resistance within an eco-agricultural system in Hangzhou, China. Environmental Science and Pollution Research International, 23(21): 21369–21376
https://doi.org/10.1007/s11356-016-7345-2 pmid: 27502562
22 S Zhang, C Ye, H Lin, L Lv, X Yu (2015). UV disinfection induces a VBNC state in Escherichia coli and Pseudomonas aeruginosa. Environmental Science & Technology, 49(3): 1721–1728 
https://doi.org/10.1021/es505211e pmid: 25584685
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed