Metagenomic profiling and transfer dynamics of antibiotic resistance determinants in a full-scale granular sludge wastewater treatment plant

被引:50
作者
Calderon-Franco, David [1 ]
Sarelse, Roel [1 ]
Christou, Stella [1 ]
Pronk, Mario [1 ,2 ]
van Loosdrecht, Mark C. M. [1 ]
Abeel, Thomas [3 ,4 ]
Weissbrodt, David G. [1 ]
机构
[1] Delft Univ Technol, Dept Biotechnol, Environm Biotechnol Sect, Weissbrodt Grp Environm Life Sci Engn, Maasweg 9, NL-2629 HZ Delft, Netherlands
[2] Royal HaskoningDHV, Amersfoort, Netherlands
[3] Delft Univ Technol, Delft Bioinformat Lab, Delft, Netherlands
[4] Broad Inst & Harvard, Infect Dis & Microbiome Program, Cambridge, MA USA
基金
荷兰研究理事会;
关键词
Aerobic granular sludge; Free-floating extracellular DNA; Intracellular DNA; Antibiotic resistance genes; Mobile genetic elements; qPCR; Metagenomics; ANTIMICROBIAL RESISTANCE; GENES; BACTERIA; TRANSPORT; INTEGRONS; REMOVAL; DNA;
D O I
10.1016/j.watres.2022.118571
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In the One Health context, wastewater treatment plants (WWTPs) are central to safeguarding water resources. Nonetheless, many questions remain about their effectiveness in preventing antimicrobial resistance (AMR) dissemination. Most surveillance studies monitor the levels and removal of selected antibiotic resistance genes (ARGs) and mobile genetic elements (MGEs) in intracellular DNA (iDNA) extracted from WWTP influents and effluents. The role of extracellular free DNA (exDNA) in wastewater is mostly overlooked. This study analyzed the transfer of ARGs and MGEs in a full-scale Nereda (R) reactor removing nutrients with aerobic granular sludge. We tracked the composition and fate of the iDNA and exDNA pools of influent, sludge, and effluent samples. Metagenomics was used to profile the microbiome, resistome, and mobilome signatures of iDNA and exDNA extracts. Selected ARGs and MGEs were analyzed by qPCR. From 2,840 ARGs identified, the genes arr-3 (2%), tetC (1.6%), sul1 (1.5%), oqxB (1.2%), and aph(3 '')-Ib (1.2%) were the most abundant among all sampling points and bioaggregates. Pseudomonas, Acinetobacter, Aeromonas, Acidovorax, Rhodoferax, and Streptomyces populations were the main potential hosts of ARGs in the sludge. In the effluent, 478 resistance determinants were detected, of which 89% were from exDNA potentially released by cell lysis during aeration in the reactor. MGEs and multiple ARGs were co-localized on the same extracellular genetic contigs. Total intracellular ARGs decreased 3-42% due to wastewater treatment. However, the ermB and sul1 genes increased by 2 and 1 log gene copies mL-1, respectively, in exDNA from influent to effluent. The exDNA fractions need to be considered in AMR surveillance, risk assessment, and mitigation strategies.
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页数:12
相关论文
共 70 条
[1]   Biofilms: hot spots of horizontal gene transfer (HGT) in aquatic environments, with a focus on a new HGT mechanism [J].
Abe, Kimihiro ;
Nomura, Nobuhiko ;
Suzuki, Satoru .
FEMS MICROBIOLOGY ECOLOGY, 2020, 96 (05)
[2]   Evaluation of antibiotic resistance dissemination by wastewater treatment plant effluents with different catchment areas in Germany [J].
Alexander, Johannes ;
Hembach, Norman ;
Schwartz, Thomas .
SCIENTIFIC REPORTS, 2020, 10 (01)
[3]   Importance of Species Sorting and Immigration on the Bacterial Assembly of Different-Sized Aggregates in a Full-Scale Aerobic Granular Sludge Plant [J].
Ali, Muhammad ;
Wang, Zhongwei ;
Salam, Khaled W. ;
Hari, Ananda Rao ;
Pronk, Mario ;
van Loosdrecht, Mark C. M. ;
Saikaly, Pascal E. .
ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2019, 53 (14) :8291-8301
[4]  
[Anonymous], 2019, No time to wait: securing the future from drug-resistant infections
[5]   antiSMASH 6.0: improving cluster detection and comparison capabilities [J].
Blin, Kai ;
Shaw, Simon ;
Kloosterman, Alexander M. ;
Charlop-Powers, Zach ;
van Wezel, Gilles P. ;
Medema, Marnix H. ;
Weber, Tilmann .
NUCLEIC ACIDS RESEARCH, 2021, 49 (W1) :W29-W35
[6]   Mobilizable IncQ-related plasmid carrying a new quinolone resistance gene, qnrS2, isolated from the bacterial community of a wastewater treatment plant [J].
Boenemann, Gabriele ;
Stiens, Michael ;
Puehler, Alfred ;
Schlueter, Andreas .
ANTIMICROBIAL AGENTS AND CHEMOTHERAPY, 2006, 50 (09) :3075-3080
[7]   Trimmomatic: a flexible trimmer for Illumina sequence data [J].
Bolger, Anthony M. ;
Lohse, Marc ;
Usadel, Bjoern .
BIOINFORMATICS, 2014, 30 (15) :2114-2120
[8]   ResFinder 4.0 for predictions of phenotypes from genotypes [J].
Bortolaia, Valeria ;
Kaas, Rolf S. ;
Ruppe, Etienne ;
Roberts, Marilyn C. ;
Schwarz, Stefan ;
Cattoir, Vincent ;
Philippon, Alain ;
Allesoe, Rosa L. ;
Rebelo, Ana Rita ;
Florensa, Alfred Ferrer ;
Fagelhauer, Linda ;
Chakraborty, Trinad ;
Neumann, Bernd ;
Werner, Guido ;
Bender, Jennifer K. ;
Stingl, Kerstin ;
Minh Nguyen ;
Coppens, Jasmine ;
Xavier, Basil Britto ;
Malhotra-Kumar, Surbhi ;
Westh, Henrik ;
Pinholt, Mette ;
Anjum, Muna F. ;
Duggett, Nicholas A. ;
Kempf, Isabelle ;
Nykasenoja, Suvi ;
Olkkola, Satu ;
Wieczorek, Kinga ;
Amaro, Ana ;
Clemente, Lurdes ;
Mossong, Joel ;
Losch, Serge ;
Ragimbeau, Catherine ;
Lund, Ole ;
Aarestrup, Frank M. .
JOURNAL OF ANTIMICROBIAL CHEMOTHERAPY, 2020, 75 (12) :3491-3500
[9]   Pavian: interactive analysis of metagenomics data for microbiome studies and pathogen identification [J].
Breitwieser, Florian P. ;
Salzberg, Steven L. .
BIOINFORMATICS, 2020, 36 (04) :1303-1304
[10]   Water and sanitation: an essential battlefront in the war on antimicrobial resistance [J].
Burgmann, Helmut ;
Frigon, Dominic ;
Gaze, William H. ;
Manaia, Celia M. ;
Pruden, Amy ;
Singer, Andrew C. ;
Smets, Barth F. ;
Zhang, Tong .
FEMS MICROBIOLOGY ECOLOGY, 2018, 94 (09)