Assessment of antibiotic resistance genes in dialysis water treatment processes

doi:10.1007/s11783-019-1136-1

Front. Environ. Sci. Eng.

2019, Vol. 13

Issue (3) : 45 https://doi.org/10.1007/s11783-019-1136-1

RESEARCH ARTICLE

Assessment of antibiotic resistance genes in dialysis water treatment processes

Xuan Zhu¹, Chengsong Ye², Yuxin Wang¹, Lihua Chen^2,³(

), 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

Download: PDF(636 KB) HTML
Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks

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.

Keywords Dialysis water Treatment process Antibiotic resistance gene High-throughput quantitative PCR Horizontal gene transfer

Corresponding Author(s): Lihua Chen,Lin Feng

Issue Date: 26 June 2019

Cite this article:

Xuan Zhu,Chengsong Ye,Yuxin Wang, et al. Assessment of antibiotic resistance genes in dialysis water treatment processes[J]. Front. Environ. Sci. Eng., 2019, 13(3): 45.

URL:

https://academic.hep.com.cn/fese/EN/10.1007/s11783-019-1136-1
https://academic.hep.com.cn/fese/EN/Y2019/V13/I3/45

Fig.1 Process flow diagram. (TW-tap water, SF-sand filtration, WS-water softening, CF-carbon filtration, RO-reverse osmosis; 1-5 means the sampling port).

Tab.1 The physical and chemical parameters of different processes

Fig.2 Absolute abundance of ARGs. (TW-tap water, SF-sand filtration, WS-water softening, CF-carbon filtration, RO-reverse osmosis).

Fig.3 Distribution of ARGs from the different processes. (TW-tap water, SF-sand filtration, WS-water softening, CF-carbon filtration, RO-reverse osmosis).

Fig.4 Classification of antibiotic resistance gene based on the mechanism of resistance.

Fig.5 Profile of resistance genes. (TW-tap water, SF-sand filtration, WS-water softening, CF-carbon filtration, RO-reverse osmosis).

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

[1]	Yuan Meng, Weiyi Liu, Heidelore Fiedler, Jinlan Zhang, Xinrui Wei, Xiaohui Liu, Meng Peng, Tingting Zhang. Fate and risk assessment of emerging contaminants in reclaimed water production processes[J]. Front. Environ. Sci. Eng., 2021, 15(5): 104-.
[2]	Mengzhi Ji, Zichen Liu, Kaili Sun, Zhongfang Li, Xiangyu Fan, Qiang Li. Bacteriophages in water pollution control: Advantages and limitations[J]. Front. Environ. Sci. Eng., 2021, 15(5): 84-.
[3]	Zhiling Wu, Xianchun Tang, Hongbin Chen. Seasonal and treatment-process variations in invertebrates in drinking water treatment plants[J]. Front. Environ. Sci. Eng., 2021, 15(4): 62-.
[4]	Qingkun Ji, Caihong Zhang, Dan Li. *Influences and mechanisms of nanofullerene on the horizontal transfer of plasmid-encoded antibiotic resistance genes between E. coli* strains**[J]. Front. Environ. Sci. Eng., 2020, 14(6): 108-.
[5]	Ting Zhang, Heze Liu, Yiyuan Zhang, Wenjun Sun, Xiuwei Ao. Comparative genotoxicity of water processed by three drinking water treatment plants with different water treatment procedures[J]. Front. Environ. Sci. Eng., 2020, 14(3): 39-.
[6]	Kun Wan, Wenfang Lin, Shuai Zhu, Shenghua Zhang, Xin Yu. 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-.
[7]	Lian Yang, Qinxue Wen, Zhiqiang Chen, Ran Duan, Pan Yang. Impacts of advanced treatment processes on elimination of antibiotic resistance genes in a municipal wastewater treatment plant[J]. Front. Environ. Sci. Eng., 2019, 13(3): 32-.
[8]	Qiaowen Tan, Weiying Li, Junpeng Zhang, Wei Zhou, Jiping Chen, Yue Li, Jie Ma. Presence, dissemination and removal of antibiotic resistant bacteria and antibiotic resistance genes in urban drinking water system: A review[J]. Front. Environ. Sci. Eng., 2019, 13(3): 36-.
[9]	Menglu Zhang, Sheng Chen, Xin Yu, Peter Vikesland, Amy Pruden. Degradation of extracellular genomic, plasmid DNA and specific antibiotic resistance genes by chlorination[J]. Front. Environ. Sci. Eng., 2019, 13(3): 38-.
[10]	Lin WANG,Yongmei LI,Xiaoling SHANG,Jing SHEN. Occurrence and removal of N-nitrosodimethylamine and its precursors in wastewater treatment plants in and around Shanghai[J]. Front.Environ.Sci.Eng., 2014, 8(4): 519-530.
[11]	ZHAO Yangguo, WANG Aijie, REN Nanqi, ZHAO Yan. Microbial community structure in different wastewater treatment processes characterized by single-strand conformation polymorphism (SSCP) technique[J]. Front.Environ.Sci.Eng., 2008, 2(1): 116-121.
[12]	QU Jiuhui, YIN Chengqing, YANG Min, LIU Huijuan. Development and application of innovative technologies for drinking water quality assurance in China[J]. Front.Environ.Sci.Eng., 2007, 1(3): 257-269.

Viewed

Full text

Abstract

Cited

Shared

Discussed