David T.
Tan
*a and
Danmeng
Shuai
b
aDepartment of Civil, Environmental, and Geo-Engineering, University of Minnesota, 500 Pillsbury Drive SE, Minneapolis, Minnesota 55455, USA. E-mail: tanxx253@umn.edu
bDepartment of Civil and Environmental Engineering, The George Washington University, 639 Phillips Hall, The Academic Center, 801 22nd Street NW, Washington DC 20052, USA
First published on 1st May 2015
The increasing prevalence of antibiotic resistant pathogens and the dwindling development of new antibiotics is a critical public health issue, prompting initiatives such as the Joint Programming Initiative on Antimicrobial Resistance launched in Europe in 2010 and an Executive Order issued in the United States in 2014. While the recent development of a new method for growing uncultured bacteria opens the possibility of a new wave of antibiotic discoveries,1,2 nonetheless it remains necessary to address the development and spread of antibiotic resistance. Antibiotic resistance spreads not only through the use or presence of antibiotics, but also through the ability of bacteria to share antibiotic resistance genes (ARGs) via conjugation and to uptake extracellular ARGs (natural transformation). Municipal wastewater is an important source of ARGs to the environment.3,4 Understanding the pathways for transport to the environment and the subsequent fate of these genes will enable us to target key processes and implement appropriate mitigation strategies. In this article we highlight the effects of treated and untreated wastewater on ARGs in the environment, attenuation of ARGs following land application of wastewater solids, and a quantitative model for natural transformation.Absolute abundance of all target genes except for tet(Q) increased with duration of irrigation (Fig. 1a), with increases of up to three log values over unirrigated soil. These increases were due to accumulation rather than enrichment: no positive correlation was found between normalized abundance (to the 16S rRNA gene) of target genes and duration of irrigation, even though antibiotics had accumulated in the soil (Fig. 1b). Likewise, abundance of heavy metals had no positive correlation with the relative abundance of the target genes. Nonetheless, the results clearly show that attenuation rates of these genes are not sufficient to prevent accumulation of ARGs even over short irrigation periods.
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Fig. 1 Concentrations of ARGs and intI1 in soils irrigated with untreated wastewater. Absolute concentrations are shown in (A), and concentrations normalized to the 16S rRNA gene are shown in (B). Figure reproduced from ref. 5: S. Jechalke, M. Broszat, F. Lang, C. Siebe, K. Smalla and E. Grohmann, Front. Microbiol., 2015, 6, 1 in accordance with Creative Commons guidelines. |
Hospital wastewater had higher concentrations of fluoroquinolones than influent wastewater at the treatment site, but had approximately equivalent or lower concentrations of macrolides and cephalosporins. Concentrations of antibiotics generally decreased during treatment but were still sufficient to increase downstream concentrations in the receiving river. ARG concentration trends (Fig. 2) generally mirrored that of antibiotic concentrations. Concentrations of ARGs in hospital wastewater were higher or similar to that of general wastewater. Treatment reduced absolute concentrations of all the ARGs studied, but normalized concentrations (to 16S rRNA) of blaTEM, qnrS, and sul1 remained consistent or were elevated. This suggests that removal of bacteria was the primary means of ARG removal and indicates potential for selective pressure for antibiotic resistance in wastewater treatment. Absolute and relative ARG concentrations of most target ARGs in the receiving river were elevated downstream of the treatment facility, demonstrating that the treated wastewater was a point source of antibiotic resistance to that river.
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Fig. 2 Cumulative concentration of five ARGs in hospital wastewater, treatment influent and effluent, and upstream and downstream sites in the receiving river. Adapted with permission from ref. 6: S. Rodriguez-Mozaz, S. Chamorro, E. Marti, B. Huerta, M. Gros, A. Sànchez-Melsió, C. M. Borrego, D. Barceló, J. L. Balcázar, Water Res., 2015, 69, 234. Copyright 2015 Elsevier. |
The attenuation of ARGs in soil was slow, with half-lives of 13–81 days (Fig. 3), compared to half-lives of under a week for various solids treatment technologies. This suggests that desired levels of ARG removal should be accomplished during the treatment process prior to land application. Attenuation rates were gene-specific, suggesting differing mechanisms, but the most persistent target was intI1, which is associated with multiple antibiotic resistance. Although mass loading rate of treated solids did not affect attenuation rates, nonetheless loading may still be important for preventing accumulation of ARGs. The persistence of these genes in soils means that various exposure events including tilling, high-wind, and runoff need to be evaluated for associated health risks.
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Fig. 3 Range of ARG and intI1 half-lives following application of treated wastewater solids to soil. Reprinted with permission from ref. 7: T. R. Burch, M. J. Sadowsky, T. M. LaPara, Environ. Sci. Technol., 2014, 48, 5620. Copyright 2014 American Chemical Society. |
The authors developed a model for natural transformation frequency (example predictions shown in Fig. 4) and verified it using motile and non-motile strains of Azotobacter vinelandii, a soil bacteria known to be naturally competent, non-specific in DNA uptake. Within the range of conditions studied, transforming DNA was the limiting factor, and increasing concentrations of cells resulted in reduced transformation frequency (normalized by viable cells). Available transforming DNA was quickly transformed, with transformation frequency plateauing within 30 minutes. Interestingly, motility appeared to reduce transformation frequency. The authors hypothesized that motility decreased contact time between competent cells and transforming DNA. While environmental conditions may differ sufficiently from this study to yield different natural transformation patterns, this work, together with existing conjugation and transduction models, enables a comprehensive model for gene transfer.
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Fig. 4 Typical variation of transformation frequency as a function of dimensionless transferable DNA number concentration and dimensionless time. Reproduced from ref. 8. |
This journal is © The Royal Society of Chemistry 2015 |