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Li J, Cao J, Zhu YG, Chen QL, Shen F, Wu Y, Xu S, Fan H, Da G, Huang RJ, Wang J, de Jesus AL, Morawska L, Chan CK, Peccia J, Yao M. Global Survey of Antibiotic Resistance Genes in Air. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2018; 52:10975-10984. [PMID: 30043612 DOI: 10.1021/acs.est.8b02204] [Citation(s) in RCA: 197] [Impact Index Per Article: 28.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/11/2023]
Abstract
Despite its emerging significant public health concern, the presence of antibiotic resistance genes (ARGs) in urban air has not received significant attention. Here, we profiled relative abundances (as a fraction, normalized by 16S rRNA gene) of 30 ARG subtypes resistant to seven common classes of antibiotics, which are quinolones, β-lactams, macrolides, tetracyclines, sulfonamides, aminoglycosides, and vancomycins, in ambient total particulate matter (PM) using a novel protocol across 19 world cities. In addition, their longitudinal changes in PM2.5 samples in Xi'an, China as an example were also studied. Geographically, the ARGs were detected to vary by nearly 100-fold in their abundances, for example, from 0.07 (Bandung, Indonesia) to 5.6 (San Francisco, USA). The β-lactam resistance gene blaTEM was found to be most abundant, seconded by quinolone resistance gene qepA; and their corresponding relative abundances have increased by 178% and 26%, respectively, from 2004 to 2014 in Xi'an. Independent of cities, gene network analysis indicates that airborne ARGs were differentially contributed by bacterial taxa. Results here reveal that urban air is being polluted by ARGs, and different cities are challenged with varying health risks associated with airborne ARG exposure. This work highlights the threat of urban airborne transmission of ARGs and the need of redefining our current air quality standards in terms with public health.
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Affiliation(s)
- Jing Li
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering , Peking University , Beijing 100871 , China
| | - Junji Cao
- Key Lab of Aerosol Chemistry & Physics, Institute of Earth Environment , Chinese Academy of Sciences , Xi'an 710049 , China
| | - Yong-Guan Zhu
- Key Lab of Urban Environment and Health, Institute of Urban Environment , Chinese Academy of Sciences , Xiamen 361021 , China
| | - Qing-Lin Chen
- Key Lab of Urban Environment and Health, Institute of Urban Environment , Chinese Academy of Sciences , Xiamen 361021 , China
| | - Fangxia Shen
- School of Space and Environment , Beihang University , Beijing 100191 , China
| | - Yan Wu
- School of Environmental Science and Engineering , Shandong University , Jinan 250100 , China
| | - Siyu Xu
- Department of Environmental Health Sciences, Graduate School of Public Health , Seoul National University , Seoul 08826 , South Korea
| | - Hanqing Fan
- Department of Earth and Environmental Engineering , Columbia University , New York , New York 10027 , United States
| | - Guillaume Da
- CERTES, Université Paris-Est Créteil , Centre d'études et de Recherche en Thermique, Environnement et Systèmes (CERTES) , Créteil 94000 , France
| | - Ru-Jin Huang
- Key Lab of Aerosol Chemistry & Physics, Institute of Earth Environment , Chinese Academy of Sciences , Xi'an 710049 , China
| | - Jing Wang
- Institute of Environmental Engineering , ETH Zurich , Zurich 8093 , Switzerland
- Advanced Analytical Technologies , Empa , Dübendorf 8600 , Switzerland
| | - Alma Lorelei de Jesus
- International Laboratory for Air Quality and Health , Queensland University of Technology , GPO Box 2434, Brisbane , Queensland 4001 , Australia
| | - Lidia Morawska
- International Laboratory for Air Quality and Health , Queensland University of Technology , GPO Box 2434, Brisbane , Queensland 4001 , Australia
| | - Chak K Chan
- School of Energy and Environment , City University of Hong Kong , Tat Chee Avenue , Kowloon , Hong Kong China
| | - Jordan Peccia
- Department of Chemical and Environmental Engineering , Yale University , New Haven , Connecticut 06520 , United States
| | - Maosheng Yao
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering , Peking University , Beijing 100871 , China
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Spatiotemporal variation of planktonic and sediment bacterial assemblages in two plateau freshwater lakes at different trophic status. Appl Microbiol Biotechnol 2015; 100:4161-75. [PMID: 26711281 DOI: 10.1007/s00253-015-7253-2] [Citation(s) in RCA: 66] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2015] [Revised: 12/12/2015] [Accepted: 12/14/2015] [Indexed: 10/22/2022]
Abstract
Both planktonic and sediment bacterial assemblages are the important components of freshwater lake ecosystems. However, their spatiotemporal shift and the driving forces remain still elusive. Eutrotrophic Dianchi Lake and mesotrophic Erhai Lake are the largest two freshwater lakes on the Yunnan Plateau (southwestern China). The present study investigated the spatiotemporal shift in both planktonic and sediment bacterial populations in these two plateau freshwater lakes at different trophic status. For either lake, both water and sediment samples were collected from six sampling locations in spring and summer. Bacterioplankton community abundance in Dianchi Lake generally far outnumbered that in Erhai Lake. Sediment bacterial communities in Erhai Lake were found to have higher richness and diversity than those in Dianchi Lake. Sediments had higher bacterial community richness and diversity than waters. The change patterns for both planktonic and sediment bacterial communities were lake-specific and season-specific. Either planktonic or sediment bacterial community structure showed a distinct difference between in Dianchi Lake and in Erhai Lake, and an evident structure difference was also found between planktonic and sediment bacterial communities in either of these two lakes. Planktonic bacterial communities in both Dianchi Lake and Erhai Lake mainly included Proteobacteria (mainly Alpha-, Beta-, and Gammaproteobacteria), Bacteroidetes, Actinobacteria, Cyanobacteria, and Firmicutes, while sediment bacterial communities were mainly represented by Proteobacteria (mainly Beta- and Deltaproteobacteria), Bacteroidetes, Chlorobi, Nitrospirae, Acidobacteria, and Chloroflexi. Trophic status could play important roles in shaping both planktonic and sediment bacterial communities in freshwater lakes.
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Xiong W, Sun Y, Ding X, Wang M, Zeng Z. Selective pressure of antibiotics on ARGs and bacterial communities in manure-polluted freshwater-sediment microcosms. Front Microbiol 2015; 6:194. [PMID: 25814986 PMCID: PMC4356103 DOI: 10.3389/fmicb.2015.00194] [Citation(s) in RCA: 69] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2014] [Accepted: 02/23/2015] [Indexed: 01/22/2023] Open
Abstract
The aim of this study was to investigate selective pressure of antibiotics on antibiotic resistance genes (ARGs) and bacterial communities in manure-polluted aquatic environment. Three treatment groups were set up in freshwater-sediment microcosms: tetracyclines group, sulfonamides group and fluoroquinolones group. Sediment and water samples were collected on day 14 after treatment. Antibiotic concentrations, ARGs abundances and bacterial community composition were analyzed. Antibiotic concentrations were determined by ultra-performance liquid chromatography-electrospray tandem mass spectrometry. ARGs abundances were quantified by real time quantitative PCR. Bacterial community composition was analyzed based on amplicon sequencing. Of the three classes of antibiotics analyzed in the treatment groups, accumulation amounts were tetracyclines> fluoroquinolone> sulfonamides in the sediment samples, while they were sulfonamides> fluoroquinolone> tetracyclines in the water samples. In the treatment groups, the relative abundances of some tet resistance genes [tet(W) and tet(X)] and plasmid-mediated quinolone resistance (PMQR) genes [oqx(B) and aac(6′)-Ib] in sediment samples were significantly higher than those in the paired water samples. Tetracyclines significantly selected the bacterial classes including Gammaproteobacteria, Clostridia, and the genera including Salmonella, Escherichia/Shigella, Clostridium, Stenotrophomonas in sediment samples. The significant selection on bacterial communities posed by sulfonamides and fluoroquinolones was also observed. The results indicated that sediment may supply an ideal setting for maintenance and persistence of tet resistance genes [tet(W) and tet(X)] and PMQR genes [oqx(B) and aac(6′)-Ib] under antibiotic pollution. The results also highlighted that antibiotics significantly selected specific bacterial communities including the taxa associated with opportunistic pathogens.
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Affiliation(s)
- Wenguang Xiong
- National Laboratory of Safety Evaluation (Environmental Assessment) of Veterinary Drugs, College of Veterinary Medicine, South China Agricultural University Guangzhou, China
| | - Yongxue Sun
- National Laboratory of Safety Evaluation (Environmental Assessment) of Veterinary Drugs, College of Veterinary Medicine, South China Agricultural University Guangzhou, China
| | - Xueyao Ding
- National Laboratory of Safety Evaluation (Environmental Assessment) of Veterinary Drugs, College of Veterinary Medicine, South China Agricultural University Guangzhou, China
| | - Mianzhi Wang
- National Laboratory of Safety Evaluation (Environmental Assessment) of Veterinary Drugs, College of Veterinary Medicine, South China Agricultural University Guangzhou, China
| | - Zhenling Zeng
- National Laboratory of Safety Evaluation (Environmental Assessment) of Veterinary Drugs, College of Veterinary Medicine, South China Agricultural University Guangzhou, China
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