Host range of antibiotic resistance genes in wastewater treatment plant influent and effluent DOI Creative Commons
Jenni Hultman,

Manu Tamminen,

Katariina Pärnänen

et al.

FEMS Microbiology Ecology, Journal Year: 2018, Volume and Issue: 94(4)

Published: March 2, 2018

Wastewater treatment plants (WWTPs) collect wastewater from various sources for a multi-step process. By mixing large variety of bacteria and promoting their proximity, WWTPs constitute potential hotspots the emergence antibiotic resistant bacteria. Concerns have been expressed regarding to spread resistance genes (ARGs) environmental reservoirs human pathogens. We utilized epicPCR (Emulsion, Paired Isolation Concatenation PCR) detect bacterial hosts ARGs in two WWTPs. identified host distribution four resistance-associated (tetM, int1, qacEΔ1and blaOXA-58) influent effluent. The these varied between WWTP effluent, with generally decreasing range Through 16S rRNA gene sequencing, it was determined that carrying include both abundant rare taxa. Our results suggest studied mostly succeed during Still, there were instances where effluent contained groups not influent. permitting exhaustive profiling communities, application provides new level precision our risk estimates.

Language: Английский

Facile construction of novel organic–inorganic tetra (4-carboxyphenyl) porphyrin/Bi2MoO6 heterojunction for tetracycline degradation: Performance, degradation pathways, intermediate toxicity analysis and mechanism insight DOI
Chunchun Wang, Mingjie Cai, Yanping Liu

et al.

Journal of Colloid and Interface Science, Journal Year: 2021, Volume and Issue: 605, P. 727 - 740

Published: July 30, 2021

Language: Английский

Citations

218

Metagenomic and metatranscriptomic analyses reveal activity and hosts of antibiotic resistance genes in activated sludge DOI Creative Commons

Zongbao Liu,

Uli Klümper, Yang Liu

et al.

Environment International, Journal Year: 2019, Volume and Issue: 129, P. 208 - 220

Published: May 23, 2019

Wastewater treatment plants (WWTPs) are a source and reservoir for subsequent spread of various antibiotic resistance genes (ARGs). However, little is known about the activity hosts ARGs in WWTPs. Here, we utilized both metagenomic metatranscriptomic approaches to comprehensively reveal diversity, abundance, expression activated sludge (AS) from three conventional WWTPs Taiwan. Based on deep sequencing data custom-made ARG database, total 360 associated with 24 classes antibiotics were identified AS metagenomes, an abundance range 7.06 × 10−1–1.20 10−4 copies ARG/copy 16S rRNA gene. Differential coverage binning analysis revealed that >22 bacterial phyla putative ARGs. Surprisingly, genus Mycobacterium family Burkholderiaceae observed as multi-drug resistant harboring 14 50 Metatranscriptome showed 65.8% being expressed, highlighting not only present, but also transcriptionally active AS. Remarkably, 110 annotated plasmid-associated displayed close two-fold increased likelihood expressed compared those found exclusively within chromosomes. Further transcript aminoglycoside, sulfonamide, tetracycline was mainly contributed by plasmid-borne Our approach allowed us specifically link their transcripts genetic context, providing comprehensive insight into prevalence, Overall, results this study enhance our understanding distribution dissemination WWTPs, which benefits environmental risk assessment management ARB

Language: Английский

Citations

215

Antibiotic resistome from the One-Health perspective: understanding and controlling antimicrobial resistance transmission DOI Creative Commons
Dae‐Wi Kim, Chang‐Jun Cha

Experimental & Molecular Medicine, Journal Year: 2021, Volume and Issue: 53(3), P. 301 - 309

Published: March 1, 2021

Abstract The concept of the antibiotic resistome was introduced just over a decade ago, and since then, active studies have been conducted. In present study, we describe previously established resistome, which encompasses all types resistance genes (ARGs), important findings from each One-Health sector considering this concept, thereby emphasizing significance approach in understanding ARG transmission. Cutting-edge research methodologies are essential for deciphering complex structure microbiomes humans, animals, environment. Based on recent achievements multiple sectors, future directions suggested to improve control transmission: (1) ranking critical ARGs their hosts; (2) transmission at interfaces sectors; (3) identifying selective pressures affecting emergence, transmission, evolution ARGs; (4) elucidating mechanisms that allow an organism overcome taxonomic barriers

Language: Английский

Citations

214

Technologies towards antibiotic resistance genes (ARGs) removal from aquatic environment: A critical review DOI

Shengnan Li,

Chaofan Zhang,

Fengxiang Li

et al.

Journal of Hazardous Materials, Journal Year: 2021, Volume and Issue: 411, P. 125148 - 125148

Published: Jan. 18, 2021

Language: Английский

Citations

209

Host range of antibiotic resistance genes in wastewater treatment plant influent and effluent DOI Creative Commons
Jenni Hultman,

Manu Tamminen,

Katariina Pärnänen

et al.

FEMS Microbiology Ecology, Journal Year: 2018, Volume and Issue: 94(4)

Published: March 2, 2018

Wastewater treatment plants (WWTPs) collect wastewater from various sources for a multi-step process. By mixing large variety of bacteria and promoting their proximity, WWTPs constitute potential hotspots the emergence antibiotic resistant bacteria. Concerns have been expressed regarding to spread resistance genes (ARGs) environmental reservoirs human pathogens. We utilized epicPCR (Emulsion, Paired Isolation Concatenation PCR) detect bacterial hosts ARGs in two WWTPs. identified host distribution four resistance-associated (tetM, int1, qacEΔ1and blaOXA-58) influent effluent. The these varied between WWTP effluent, with generally decreasing range Through 16S rRNA gene sequencing, it was determined that carrying include both abundant rare taxa. Our results suggest studied mostly succeed during Still, there were instances where effluent contained groups not influent. permitting exhaustive profiling communities, application provides new level precision our risk estimates.

Language: Английский

Citations

201