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Article

Occurrence of Fluoroquinolones and Sulfonamides Resistance Genes in Wastewater and Sludge at Different Stages of Wastewater Treatment: A Preliminary Case Study

by
Damian Rolbiecki
1,
Monika Harnisz
1,*,
Ewa Korzeniewska
1,
Łukasz Jałowiecki
2 and
Grażyna Płaza
2
1
Department of Engineering of Water Protection and Environmental Microbiology, Faculty of Geoengineering, University of Warmia and Mazury in Olsztyn, Prawocheńskiego St. 1, 10-719 Olsztyn, Poland
2
Department of Environmental Microbiology, Institute for Ecology of Industrial Areas, Kossutha St. 6, 40-844 Katowice, Poland
*
Author to whom correspondence should be addressed.
Appl. Sci. 2020, 10(17), 5816; https://doi.org/10.3390/app10175816
Submission received: 9 July 2020 / Revised: 18 August 2020 / Accepted: 20 August 2020 / Published: 22 August 2020
(This article belongs to the Special Issue Advances in Industrial and Environmental Microbiology)
Versions Notes

Abstract

:
This study identified differences in the prevalence of antibiotic resistance genes (ARGs) between wastewater treatment plants (WWTPs) processing different proportions of hospital and municipal wastewater as well as various types of industrial wastewater. The influence of treated effluents discharged from WWTPs on the receiving water bodies (rivers) was examined. Genomic DNA was isolated from environmental samples (river water, wastewater and sewage sludge). The presence of genes encoding resistance to sulfonamides (sul1, sul2) and fluoroquinolones (qepA, aac(6′)-Ib-cr) was determined by standard polymerase chain reaction (PCR). The effect of the sampling season (summer – June, fall – November) was analyzed. Treated wastewater and sewage sludge were significant reservoirs of antibiotic resistance and contained all of the examined ARGs. All wastewater samples contained sul1 and aac(6′)-lb-cr genes, while the qepA and sul2 genes occurred less frequently. These observations suggest that the prevalence of ARGs is determined by the type of processed wastewater. The Warmia and Mazury WWTP was characterized by higher levels of the sul2 gene, which could be attributed to the fact that this WWTP processes agricultural sewage containing animal waste. However, hospital wastewater appears to be the main source of the sul1 gene. The results of this study indicate that WWTPs are significant sources of ARGs, contributing to the spread of antibiotic resistance in rivers receiving processed wastewater.

1. Introduction

The overuse and misuse of antibiotics in human and veterinary medicine, animal farming and agriculture contributes to antibiotic pollution and the spread of antibiotic resistance in the environment [1,2]. The wide use of antimicrobial drugs creates selection pressure, which speeds up microbial evolution and promotes the development of antibiotic resistance mechanisms. The presence of close associations between antimicrobial medicines and resistance has been widely documented around the world [3]. Antibiotics, antibiotic-resistant bacteria (ARB) and antibiotic resistance genes (ARGs) are ubiquitous in surface water [4,5,6], ground water [7,8,9] and soil [10,11,12]. The ongoing spread of these micropollutants in the natural environment contributes to the development of antibiotic resistance mechanisms in environmental bacteria. Antibiotic resistance genes play a fundamental role in this process.
The sources and transmission mechanisms of ARGs have to be investigated in detail to prevent the spread of antibiotic resistance in the environment. Raw municipal and hospital wastewater, treated effluents and sewage sludge are significant reservoirs of ARGs, and they play a significant role in the transfer of antibiotic resistance [1,13,14]. For this reason, the release of ARGs from wastewater treatment plants (WWTPs) and their fate in the environment have attracted considerable research interest in recent years [15,16,17,18,19].
The removal of solids, organics and nutrients is the key process in wastewater treatment. Wastewater treatment plants are not equipped to remove microbiological contaminants, including ARB and ARGs. The activated sludge process is a biological method that is frequently used in wastewater treatment. The conditions inside activated sludge tanks, including high oxygen concentration, high temperature and high densities of bacterial cells, can promote horizontal gene transfer (HGT) between closely related as well as unrelated microorganisms [20]. As a result, treated effluents can contain more copies of a given resistance gene per unit volume than raw wastewater [21,22].
Treated wastewater is evacuated to water bodies, which leads to the release of large gene pools, including ARGs, into the natural environment [18,23]. Receptacles of treated effluents accumulate mobile genetic elements (MGEs) such as plasmids, transposons, insertion sequences and integrons [15,24], which are effective carriers of ARGs. Mobile genetic elements play a key role in the spread of genetic information between even the most phylogenetically distant species of bacteria. Genetic resistance can be further transferred between bacteria, including pathogenic microorganisms, posing a significant threat to human health and life.
Organic solid waste such as sewage sludge is also a considerable source of ARGs, which contribute to the spread of antibiotic resistance in the environment. Sewage sludge treatment leads to the recovery of municipal biosolids. Biosolids are abundant in nutrients, and they are often used as agricultural fertilizers [25]. In Poland, the storage of sewage sludge with a high caloric content was banned in 2016 [26], which increased the supply of sewage sludge for fertilization purposes. The management of sewage sludge delivers unquestioned benefits, but the application of treated sludge in agriculture may also have negative consequences. Research has shown that ARGs levels in treated sewage are very high [27,28] and often significantly exceed ARGs concentrations in wastewater [29,30]. Sewage sludge is usually stabilized before it is used as fertilizer, but according to many authors, biosolids processed with the use of various stabilization methods are still highly abundant in ARGs [30,31]. Elevated concentrations of ARGs in soil samples [28,30,32] and accelerated transmission of ARGs from soil to plants [32] were also reported in farmland fertilized with sewage sludge.
Microorganisms have developed various mechanisms of resistance to antibiotics, depending on the type of antimicrobial drugs and their effects on bacterial cells. In Europe, clinical bacterial isolates are becoming increasingly resistant to fluoroquinolones, which are an important class of antibiotics [33]. Resistance to fluoroquinolones is encoded by aac(6′)-Ib-cr and qepA genes [34], which are usually localized in plasmid DNA. The qepA gene encodes efflux pumps of the major facilitator superfamily (MFS), which are responsible for the transport of antibiotics to extracellular space. The aac(6′)-Ib-cr gene encodes an enzyme that suppresses the activity of two fluoroquinolone antimicrobials (ciprofloxacin and norfloxacin) through their acetylation [35].
Sulfonamides are one of the oldest groups of antibiotics used in medicine. In recent years, the use of sulfonamides in human medicine has declined due to growing levels of bacterial resistance [36], but these antimicrobials are still widely applied in veterinary medicine [37]. Sulfonamides inhibit folate synthesis by suppressing the production of dihydropteroate synthase (DHPS) (EC 2.5.1.15), an enzyme involved in the synthesis of folic acid. Bacteria have developed mechanisms of resistance against sulfonamides through mutation of the chromosomal DHPS gene (folP) or the acquisition of an alternative DHPS gene (sul). Dihydropteroate synthase encoded by a sul gene has a low affinity for sulfonamides, and is not inhibited by this class of antibiotics. Three genes encoding resistance to sulfonamides (sul1, sul2, sul3) with estimated 50% sequence similarity have been identified to date [37,38]. It is believed that general resistance to sulfonamides is encoded mostly by sul1 and sul2. The acquisition of sulfonamide resistance through sul genes is the most prevalent mechanism in the environment [19,39].
This study aimed to determine the prevalence of genes encoding resistance to sulfonamides (sul1, sul2) and fluoroquinolones (qepA, aac(6′)-Ib-cr) in various stages of wastewater treatment in two WWTPs. The examined plants are situated in the regions of Warmia and Mazury (northern Poland) and Silesia (southern Poland), which differ considerably in industrial development level. The treatment plants use similar methods of wastewater treatment based on activated sludge. Differences in the prevalence of ARGs between the studied WWTPs processing different proportions of the hospital and municipal wastewater as well as various types of industrial wastewater were investigated. The study analyzed whether the inflow of various sources of industrial wastewater (brewery wastewater, animal industry wastewater) affects the differentiation in the occurrence of ARGs in WWTPs. Samples were collected at the subsequent stages of wastewater treatment to capture the ARGs reduction, and the influence of treated effluents evacuated from WWTPs on the receiving water bodies was examined by analyzing samples of river water collected upstream and downstream from wastewater discharge points. Sewage sludge was also analyzed. The impact of the season on the ARGs prevalence was evaluated by analyzing samples collected in summer (June) and fall (November).

2. Materials and Methods

2.1. Study Area and Sampling Sites

In this study, the presence of genes encoding resistance to fluoroquinolones and sulfonamides was analyzed in two WWTPs with similar treatment systems and processing capacities. Two wastewater treatment plants (WWTPs) in Poland were analyzed in the study. The WWTPs are located in different Polish regions: Warmia and Mazury (WM-WWTP) and Silesia (S-WWTP). Treated effluents are evacuated to the Łyna River and the Gostynia River, respectively. Samples of river water collected upstream and downstream from effluent discharge points were examined to determine the influence of wastewater processing technology on rivers receiving treated wastewater. The analyzed WWTPs are characterized by similar treatment technologies, but they differ in the type of inflowing wastewater. Both WWTPs have a similar daily average processing capacity and employ a mechanical-biological treatment system based on the activated sludge. S-WWTP has an average influent flow rate of 32,000 m3/day, and it receives municipal sewage from the city of Tychy, hospital wastewater and industrial sewage. Industrial wastewater (25% of the receiving wastewater) is supplied mainly by a brewery where sewage is pre-cleaned in the methane fermentation process. The brewery is the largest and the most important industrial facility in the S-WWMT area. S-WWTP deploys mechanical-biological treatment methods and operates sequencing C-TECH reactors, activated sludge chambers (a system of chambers of various oxygen conditions: anaerobic, anoxic and aerobic), a secondary settling tank and an anoxic chamber. S-WWTP uses supplementary chemical phosphorus removal [40]. WM-WW TP operates a mechanical-biological treatment system with an elevated removal of nutrients (MB-ERN) with the following sections of the wastewater treatment process: a pre-denitrification chamber, a phosphorus removal tank, nitrification/denitrification chambers and secondary settling tanks. It processes municipal sewage from the city of Olsztyn, industrial wastewater and sewage from three hospitals. Industrial wastewater (20% of the receiving wastewater) is supplied by animal industry wastewater. According to the information obtained from the administration of the WM-WWTP, the plant has an average processing capacity of 35,000 m3/day. The prevalence of bacterial infections, the amount of antimicrobial drugs and the number of hospitalized patients differ across seasons. These parameters can influence the results noted in each sampling season. Therefore, samples were collected in the summer (June) and fall (November) of 2018. Samples of river water, wastewater and sludge from various stages of treatment were analyzed (n = 36). The types of samples collected in each WWTP are presented in Table 1.
Three grab samples of around 160 mL of wastewater or river water were individually collected and combined into composite samples in sterile 500 mL bottles. Sludge samples were collected into sterile urine containers. The samples were transported to the laboratory on the day of collection and stored in 4 °C for further analysis.

2.2. DNA Extraction

Samples of wastewater and river water were filtered with the use of vacuum pumps and passed through 0.2 µm pore size polycarbonate membrane filters. The volume of the filtered samples ranged from 10 mL to 400 mL, depending on the site and season of collection. Sludge samples of 0.25 g each were used directly for DNA isolation.
The DNeasy Power Water Kit (Qiagen, Hilden, Germany) was used to isolate genomic DNA from sewage and water samples, and the DNeasy Power Soil Kit (Qiagen, Hilden, Germany) was used to isolate genomic DNA from sewage sludge samples according to the manufacturer’s protocol. The quality and quantity of the obtained genetic material was checked with the Multiskan Sky Microplate Spectrophotometer (Thermo Scientific, Waltham, MA, USA).

2.3. Identification of Aantibiotic Resistance Genes by Polymerase Chain Reaction (PCR)

The presence of genes encoding resistance to sulfonamide (sul1, sul2) and quinolone (qepA, aac (6′)-Ib-cr) was confirmed by PCR. The applied primers and reaction profiles are presented in Table 2. The PCR reactions were performed in a volume of 15 μL containing 10 µM of the respective primer pairs, 1 μL of genomic DNA of each sample and the NZYTaq II 2xGreen Master Mix.
PCR products were separated electrophoretically by transferring 5 µL of every amplified DNA fragment to 1.5% agarose gel stained with ethidium bromide (0.5 µg/mL) (Sigma, St. Louis, MO, USA). Electrophoresis was conducted for 1 h at 100 V in 0.5× TBE buffer.

2.4. Cluster Analysis

An analysis of hierarchical clustering was performed to illustrate the relationship of the sampling sites and the collection season based on the occurrence of studied ARGs. The Dice similarity coefficient (Sørensen–Dice index) was used to measure the relationship between two sets of data. The unweighted pair group method with arithmetic mean (UPGMA) was used as a clustering method. A hierarchical tree (dendrogram) of the analyzed samples was generated for each research object (Supplementary materials). The clustering analysis was performed using the Molecular Evolutionary Genetics Analysis (MEGA7, Pennsylvania State University, State College, PA, USA, 2016) software [44].

3. Results and Discussion

The results of the cluster analysis did not show a similarity between the results for samples collected in the same season. The samples collected in different seasons from the same sampling sites were often grouped in one cluster on the dendrogram. It can be concluded that the sampling season probably had no effect on the presence of ARGs in the analyzed samples (Figure S1). However, the prevalence of ARGs differed across the types of genes and the stages of wastewater treatment. Raw sewage was a significant source of ARGs and contained all of the analyzed genes (Table 3).
Influent wastewater is an important reservoir of ARGs. Wastewater treatment plants offer supportive conditions for the spread of ARGs by horizontal gene transfer (HGT) [45,46,47]. The low effectiveness of treatment processes can contribute to the transmission of ARGs from treated effluents to surface water [2,19,48]. Antibiotic resistance genes are localized on MGEs, which can be exchanged by both closely related and phylogenetically distant bacterial species. As a result, antibiotic resistance can be spread between bacteria of anthropogenic origin and bacterial communities in the natural environment [6,42]. ARGs in the environment stays in two forms: intracellular ARGs (iARGs) and extracellular ARGs (eARGs). The forms of ARGs that occur in the environment determine the character of its further transmission. iARGs support the spreading of antibiotic resistance via conjugation and transduction, while eARGs can be uptaken and integrated by the competent non-resistant bacteria via natural transformation. Of the mentioned HGT mechanisms, conjugation is deemed to have the biggest impact on the dissemination of ARGs, while transformation and transduction are considered less important [49].
Sulfonamides were the first safe and effective antimicrobial drugs in clinical practice that targeted selected bacteria [50]. The medical use of sulfonamides is decreasing in Europe. The compound annual growth rate (CAGR) of the sulfonamide market in Europe reached negative values between 2009 and 2018 [36]. In 2017, sulfonamides were the least used class of antibiotics for systemic use in Polish and European hospitals [51]. Sulfonamide resistance in Gram-negative bacteria can probably be attributed to sul1 and sul2 genes, which are carried by plasmids. Research has demonstrated that sulfonamide resistance genes are the most ubiquitous ARGs in the environment [19,39]. In the present study, the sul1 gene was identified in all wastewater and sewage sludge samples collected in both WWTPs. This gene was also present in samples of river water collected upstream from the effluent discharge point. The above findings indicate that the sul1 gene is widely spread in the environment. The analyzed gene was not eliminated in successive stages of treatment, which may increase the concentration of this gene in the water and bottom sediments of effluent-receiving rivers. Surface waters are highly contaminated with the sul1 gene [15,16,18,52]. The sul1 gene has been also identified in samples of municipal wastewater [53], activated sludge [47] and wastewater containing animal waste [54]. Hospital sewage appears to be the major source of the sul1 gene in the environment. According to Lye et al. [2], the prevalence of sul1 is considerably higher in hospital wastewater than in other types of sewage. Similar results were reported by Wang et al. [14], who analyzed hospital sewage in China. In other studies, hospital wastewater was characterized by the highest concentration of the sul1 gene relative to other ARGs [13,55]. The ubiquitous character of sul1 could result from a close relationship between sul1 and class 1 integrons that are widespread in the environment [56]. According to Poey et al. [57], sul1 occurs in the variable region (gene cassette) of class 1 integrons. In the current study, hospital sewage accounted for 2–6% of the wastewater processed by the WWTPs. WM-WWTP treats wastewater from three hospitals, and S-WWTP treats wastewater from one hospital. Hospital sewage could be a major source of sul1 in the analyzed WWTPs, which could explain the high prevalence of this gene in all samples.
The sul2 gene occurred less frequently than the sul1 gene. The sul2 gene was not identified in river water upstream from the effluent discharge point (excluding site S8 in fall). This gene was present in all samples of raw wastewater, but it was eliminated in successive stages of treatment. These observations could also suggest that sul2 was less abundant in raw sewage that sul1. The presence of the sul2 gene in river water was noted only in WM-WWTP in summer. Koczura et al. [52] reported significantly smaller concentrations of sul2 than sul1 in surface waters. In a study by Ziembińska-Buczyńska et al. [47], sul2 was less prevalent than sul1 in bacterial isolates from activated sludge. According to Pei et al. [41], sul2 is an important indicator of the environmental impacts of agriculture, which could explain why sul2 concentrations are higher in areas with a predominance of agriculture, in particular livestock production and aquaculture. Lye et al. [2] found the highest abundance of sul2 in zoo wastewater. The livestock population in Warmia and Mazury is several times higher than in Silesia [58], which could imply that Warmia and Mazury is characterized by a higher contamination of animal waste and higher concentrations of sul2 in the environment, in particular in wastewater evacuated from animal farms. Olsztyn, the capital city of Warmia and Mazury, where MW-WWTP is situated, is the seat of Poland’s largest poultry company, which specializes in turkey rearing and the production and processing of turkey meat. Wastewater from turkey farms and production plants is evacuated to MW-WWTP, which could explain the higher abundance of sul2 in raw sewage reaching MW-WWTP than S-WWTP. The sul2 gene was not identified in only one stage of wastewater treatment in MW-WWTP, whereas in S-WWTP, sul2 was not detected in four sampling sites.
According to the literature, seasonal variations in the virulence of pathogenic microorganisms and the immune status of infected individuals are responsible for the seasonality of infectious diseases [59]. Seasonal variations are also noted in antibiotic use, and the consumption of antimicrobials is significantly higher in fall than in summer [60]. Despite the above, it appears that the prevalence of sulfonamide resistance genes in samples of river water, wastewater and sludge was not noticeably affected by season in the present study; however, this is only a preliminary case study and to determine more precise correlations the research must be expanded with quantitative analyses of ARGs. Similar observations were made by Koczura et al. [52], who did not report significant seasonal differences in sul1 copy numbers in river water and sewage sludge, but noted that the sul2 gene was more prevalent in spring samples.
Fluoroquinolones are broad-spectrum antibiotics and one of the most frequently prescribed antimicrobials. Extensive clinical use of fluoroquinolones has contributed to high resistance of pathogenic microorganisms to this group of antibiotics. In Europe, the number of hospital strains of Escherchia coli and Klebsiella pneumoniae resistant to fluoroquinolones increased in 2015 –2018. In 2018, the highest percentage of Pseudomonas aeruginosa isolates (19.7%) were resistant to fluoroquinolones [33]. The genes conditioning bacterial resistance to fluoroquinolones include aac(6′)-Ib-cr, which encodes aminoglycoside acetyltransferase, and qepA, which encodes active efflux pumps [34]. In this study, both genes were detected in samples of raw wastewater.
The aac(6′)-lb-cr gene was identified in all analyzed samples, and it was not eliminated during wastewater treatment. It was also detected in samples of river water collected upstream from effluent discharge points, which suggests that this gene also originates from other sources. The qepA gene was less frequently isolated, and it was not found in river water sampled upstream from effluent discharge points. In S-WWTP, the qepA gene was completely eliminated from treated wastewater in summer, and it was not transmitted to the river with the evacuated effluents. This gene was present only in sewage sludge where the concentration of biological material was highest relative to the remaining samples. The qepA gene was less effectively removed in WM-WWTP. In both seasons, qepA was not detected in river water sampled upstream from the effluent discharge point, but it was identified in the samples collected downstream from the effluent discharge point.
According to the literature, aac(6′)-lb-cr and qepA genes are commonly found in the wastewater. Korzeniewska and Harnisz [21] detected both genes in influents and effluents from 13 wastewater treatment plants with different type of the wastewater treatment technologies modifications. Yan et al. [61] found aac(6′)-lb-cr and qepA in treated wastewater from three Chinese hospitals, in municipal wastewater and in river water. In each sampling site, the aac(6′)-lb-cr gene had higher copy numbers than the qepA gene. Wen et al. [48] analyzed samples of unpolluted river water and samples of river water collected in the vicinity of hospitals. The qepA gene was not detected in any of the samples, whereas the aac(6′)-lb-cr gene was ubiquitous in all samples.
The lower prevalence of qepA could be attributed to the fact that resistance to fluoroquinolones encoded by this gene evolved relatively late. The qepA gene was first identified in 2007 by research teams from Belgium and Japan [62,63]. The first mechanism of plasmid encoded resistance to fluoroquinolones was discovered in 1998 [64].
It should be noted that all studied genes (excluding qepA at site W7 in fall) were present in treated sewage sludge intended for further use. More than 500,000 tons of sewage sludge are produced each year in Poland, of which around 20% are used as agricultural fertilizers on account of their high organic matter content [65]. The application of sewage sludge as agricultural fertilizer contributes to the spread of antibiotic resistance in the environment [28]. Chen et al. [28] found that sewage sludge fertilization can transfer up to 108 of ARGs and MGEs to soil. The resulting increase in bacterial diversity in the soil environment was significantly correlated with the prevalence of ARGs. Sewage sludge is particularly abundant in tetracycline and sulfonamide resistance genes [27]. According to Lee et al. [27], sulfonamide resistance genes (sul1 and sul2) were the most frequently occurring ARGs (45.6%) in the examined sewage sludge. The number of sul1 copies in sewage sludge significantly exceeded (26–87 times) the number of sul2 copies. Lee et al. [27] also observed that the prevalence of sulfonamide resistance genes was six-fold (%) higher in sewage sludge than in raw wastewater, which suggests that these genes are highly accumulated in sewage sludge. Quinolone resistance genes were identified significantly less frequently, and they were not present in sewage sludge. The accumulation of ARGs and MGEs in soil could imply that the application of sewage sludge could accelerate gene transmission to the soil environment via HGT.
The presence of antibiotics acting as active mutagens can also significantly contribute to the evolution of drug resistance mechanisms. Sublethal concentrations of antibiotics, which are frequently noted in wastewater, can lead to mutations that promote the emergence of drug resistance [66,67]. The samples of raw sewage, treated wastewater and river water that were examined in the current study were additionally analyzed by Giebułtowicz et al. [68] for the presence of 26 antimicrobials. Very high concentrations of sulfamethoxazole (SXT) and ciprofloxacin (CIP) were noted in raw wastewater reaching both WWTPs, and they were nearly three times higher in WM-WWTP than in S-WWTP. It should also be noted that CIP levels in raw wastewater exceeded the minimum inhibitory concentrations (MIC) recommended by EUCAST for most microorganisms [69]. To regulate the risk issuing from the concentrations of antibiotics in the environment, Bengtson-Palme and Larsson [70] estimated Predicted No-Effect Concentrations (PENCs) of antimicrobials for resistance selection. Based on these [70] calculations, average CIP concentrations in influents, effluents and downstream rivers were found to exceed the PENCs values for influents, effluents and downstream rivers in both WWTPs, which is particularly worrying. Based on the calculated values of the risk quotient (RQ), Giebułtowicz et al. [68] concluded that high concentrations of the analyzed antibiotics contribute to the development of selective resistance. The results of the qualitative analyses presented in this study cannot reveal a correlation between antibiotic concentrations and the prevalence of the examined ARGs. Further research involving quantitative analysis is needed to investigate the above problem.
The study determined whether the tested ARGs are present/absent in the DNA isolated from analyzed samples. However, it remains unknown if and what part of the current ARGs is intercellularly carried (iARGs) by live and metabolically active bacterial cells. Therefore, to reach beyond the qualitative and quantitative analyzes of ARGs and to reach a more extensive knowledge of ARGs dynamics, it is necessary to identify which of the detected ARGs are expressed. The combination of metagenomic and metatranscriptomic analyses will allow the identification of ARGs that are not only present but also actively transcribed. There is little work on antibiotic resistance gene expression in WWTP [71,72,73]. The researchers report that about 65.8% identified ARGs shows transcriptional activity [73], and that there is a significant overexpression of ARGs occurring in an environment that is heavily affected by antibiotic use [71]. We believe that this issue should be the direction of further research in the WWTPs.

4. Conclusions

Wastewater treated at WWTPs is a significant point source of ARGs. The existing wastewater treatment methods do not effectively eliminate ARGs whose concentrations in treated effluents are not routinely monitored. This imperfect process promotes the release of ARGs into the environment. This study demonstrated that genes encoding resistance to sulfonamides and fluoroquinolones are widespread in the environment and that WWTPs contribute to their transmission. The prevalence of ARGs in raw wastewater and in various stages of wastewater treatment differed in the examined WWTPs. These variations could be attributed to differences in the type and sources of processed wastewater. WM-WWTP processes wastewater from livestock farms, which could explain the higher prevalence of the sul2 gene in the analyzed samples. Hospital wastewater appears to be the main source of sul1 in both WWTPs. Sewage sludge was found to be a significant reservoir of ARGs. Sewage sludge should be stabilized before it is used as fertilizer, and its application in agriculture should be monitored. The growing prevalence and spread of ARB and ARGs pose a significant public health concern around the world. A sound knowledge of the sources and transmission mechanisms of antibiotic resistance in various environments is required to develop effective strategies for managing these risks and evaluating their impact on human health. The study is a preliminary study and a base for further in-depth metagenomic and metatranscriptomic analyses.

Supplementary Materials

The following are available online at https://www.mdpi.com/2076-3417/10/17/5816/s1, Figure S1: Similarity of samples, based on the occurrence of antibiotic-resistance genes (ARGs).

Author Contributions

Conceptualization, M.H., E.K. and G.P.; methodology, M.H. and E.K., software, D.R.; validation, M.H. and D.R.; formal analysis, D.R.; resources, M.H., Ł.J. and G.P.; data curation, D.R.; writing—original draft preparation, D.R.; writing—review and editing, M.H., E.K. and G.P.; visualization, D.R.; supervision, M.H.; funding acquisition, M.H. and G.P. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by grants from the National Science Center (Poland) No. 2017/26/M/NZ9/00071 and 2017/27/B/NZ9/00267.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Guo, J.; Li, J.; Chen, H.; Bond, P.L.; Yuan, Z. Metagenomic analysis reveals wastewater treatment plants as hotspots of antibiotic resistance genes and mobile genetic elements. Water Res. 2017, 123, 468–478. [Google Scholar] [CrossRef]
  2. Lye, Y.L.; Bong, C.W.; Lee, C.W.; Zhang, R.J.; Zhang, G.; Suzuki, S.; Chai, L.C. Anthropogenic impacts on sulfonamide residues and sulfonamide resistant bacteria and genes in Larut and Sangga Besar River, Perak. Sci. Total Environ. 2019, 688, 1335–1347. [Google Scholar] [CrossRef]
  3. WHO. WHO Report on Surveillance of Antibiotic Consumption: 2016–2018 Early Implementation; Licence: CC BY-NC-SA 3.0 IGO; World Health Organization: Geneva, Switzerland, 2018. [Google Scholar]
  4. Danner, M.C.; Robertson, A.; Behrends, V.; Reiss, J. Antibiotic pollution in surface fresh waters: Occurrence and effects. Sci. Total Environ. 2019, 664, 793–804. [Google Scholar] [CrossRef]
  5. Koniuszewska, I.; Korzeniewska, E.; Harnisz, M.; Kiedrzyńska, E.; Kiedrzyński, M.; Czatzkowska, M.; Jarosiewicz, P.; Zalewski, M. The occurrence of antibiotic-resistance genes in the Pilica River, Poland. Ecohydrol. Hydrobiol. 2020, 20, 1–11. [Google Scholar] [CrossRef]
  6. Xiong, W.; Sun, Y.; Ding, X.; Zhang, Y.; Zeng, Z. Antibiotic resistance genes occurrence and bacterial community composition in the Liuxi River. Front. Environ. Sci. 2014, 2, 1–6. [Google Scholar] [CrossRef] [Green Version]
  7. Andrade, L.; Kelly, M.; Hynds, P.; Weatherill, J.; Majury, A.; O’Dwyer, J. Groundwater resources as a global reservoir for antimicrobial-resistant bacteria. Water Res. 2020, 170, 115360. [Google Scholar] [CrossRef]
  8. Burke, V.; Richter, D.; Greskowiak, J.; Mehrtens, A.; Schulz, L.; Massmann, G.; Victoria, B.; Doreen, R.; Janek, G.; Anne, M.; et al. Occurrence of Antibiotics in Surface and Groundwater of a Drinking Water Catchment Area in Germany. Water Environ. Res. 2016, 88, 652–659. [Google Scholar] [CrossRef]
  9. Szekeres, E.; Chiriac, C.M.; Baricz, A.; Szőke-Nagy, T.; Lung, I.; Soran, M.-L.; Rudi, K.; Dragoş, N.; Coman, C. Investigating antibiotics, antibiotic resistance genes, and microbial contaminants in groundwater in relation to the proximity of urban areas. Environ. Pollut. 2018, 236, 734–744. [Google Scholar] [CrossRef] [PubMed]
  10. Pérez-Valera, E.; Kyselková, M.; Ahmed, E.; Sladecek, F.X.J.; Goberna, M.; Elhottová, D. Native soil microorganisms hinder the soil enrichment with antibiotic resistance genes following manure applications. Sci. Rep. 2019, 9, 6760. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  11. Forsberg, K.J.; Patel, S.; Gibson, M.K.; Lauber, C.L.; Knight, R.; Fierer, N.; Dantas, G. Bacterial phylogeny structures soil resistomes across habitats. Nature 2014, 509, 612–616. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  12. Cycoń, M.; Mrozik, A.; Piotrowska-Seget, Z. Antibiotics in the Soil Environment—Degradation and Their Impact on Microbial Activity and Diversity. Front. Microbiol. 2019, 10, 338. [Google Scholar] [CrossRef]
  13. Lorenzo, P.; Adriana, A.; Jéssica, S.; Carles, B.; Marinella, F.; Marta, L.; Luis, B.J.; Pierre, S. Antibiotic resistance in urban and hospital wastewaters and their impact on a receiving freshwater ecosystem. Chemosphere 2018, 206, 70–82. [Google Scholar] [CrossRef] [PubMed]
  14. Wang, Q.; Wang, P.; Yang, Q. Occurrence and diversity of antibiotic resistance in untreated hospital wastewater. Sci. Total Environ. 2018, 621, 990–999. [Google Scholar] [CrossRef] [PubMed]
  15. Cacace, D.; Fatta-Kassinos, D.; Manaia, C.M.; Cytryn, E.; Kreuzinger, N.; Rizzo, L.; Karaolia, P.; Schwartz, T.; Alexander, J.; Merlin, C.; et al. Antibiotic resistance genes in treated wastewater and in the receiving water bodies: A pan-European survey of urban settings. Water Res. 2019, 162, 320–330. [Google Scholar] [CrossRef] [PubMed]
  16. Huang, Z.; Zhao, W.; Xu, T.; Zheng, B.; Yin, D. Occurrence and distribution of antibiotic resistance genes in the water and sediments of Qingcaosha Reservoir, Shanghai, China. Environ. Sci. Eur. 2019, 31, 1–9. [Google Scholar] [CrossRef]
  17. Osińska, A.; Korzeniewska, E.; Harnisz, M.; Felis, E.; Bajkacz, S.; Jachimowicz, P.; Niestępski, S.; Konopka, I. Small-scale wastewater treatment plants as a source of the dissemination of antibiotic resistance genes in the aquatic environment. J. Hazard. Mater. 2020, 381, 121221. [Google Scholar] [CrossRef]
  18. Sabri, N.A.; Schmitt, H.; Van Der Zaan, B.; Gerritsen, H.W.; Zuidema, T.; Rijnaarts, H.H.M.; Langenhoff, A.A.M. Prevalence of antibiotics and antibiotic resistance genes in a wastewater effluent-receiving river in the Netherlands. J. Environ. Chem. Eng. 2020, 8, 102245. [Google Scholar] [CrossRef]
  19. Stange, C.; Yin, D.; Xu, T.; Guo, X.; Schäfer, C.; Tiehm, A. Distribution of clinically relevant antibiotic resistance genes in Lake Tai, China. Sci. Total Environ. 2019, 655, 337–346. [Google Scholar] [CrossRef]
  20. Rizzo, L.; Manaia, C.M.; Merlin, C.; Schwartz, T.; Dagot, C.; Ploy, M.C.; Michael, I.; Fatta-Kassinos, D. Urban wastewater treatment plants as hotspots for antibiotic resistant bacteria and genes spread into the environment: A review. Sci. Total Environ. 2013, 447, 345–360. [Google Scholar] [CrossRef]
  21. Korzeniewska, E.; Harnisz, M. Relationship between modification of activated sludge wastewater treatment and changes in antibiotic resistance of bacteria. Sci. Total Environ. 2018, 639, 304–315. [Google Scholar] [CrossRef]
  22. Pazda, M.; Kumirska, J.; Stepnowski, P.; Mulkiewicz, E. Antibiotic resistance genes identified in wastewater treatment plant systems—A review. Sci. Total Environ. 2019, 697, 134023. [Google Scholar] [CrossRef] [PubMed]
  23. Jäger, T.; Hembach, N.; Elpers, C.; Wieland, A.; Alexander, J.; Hiller, C.; Krauter, G.; Schwartz, T. Reduction of Antibiotic Resistant Bacteria During Conventional and Advanced Wastewater Treatment, and the Disseminated Loads Released to the Environment. Front. Microbiol. 2018, 9, 2599. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  24. Marano, R.B.M.; Cytryn, E. The Mobile Resistome in Wastewater Treatment Facilities and Downstream Environments. In Antimicrobial Resistance in Wastewater Treatment Processes; Keen, P.L., Fugère, R., Eds.; John Wiley & Sons, Inc. (Wiley): Hoboken, NJ, USA, 2017; pp. 129–155. [Google Scholar]
  25. Kaplan, E.; Ofek, M.; Jurkevitch, E.; Cytryn, E. Characterization of fluoroquinolone resistance and qnr diversity in Enterobacteriaceae from municipal biosolids. Front. Microbiol. 2013, 4, 144. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  26. Minister of Economy. Internet System of Legal Acts. Available online: http://isap.sejm.gov.pl/isap.nsf/DocDetails.xsp?id=WDU20150001277 (accessed on 21 August 2020). (In Polish)
  27. Lee, J.; Shin, S.G.; Jang, H.M.; Kim, Y.B.; Lee, J.; Kim, Y.M. Characterization of antibiotic resistance genes in representative organic solid wastes: Food waste-recycling wastewater, manure, and sewage sludge. Sci. Total Environ. 2017, 579, 1692–1698. [Google Scholar] [CrossRef]
  28. Chen, Q.-L.; An, X.; Li, H.; Su, J.; Ma, Y.; Zhu, Y.-G. Long-term field application of sewage sludge increases the abundance of antibiotic resistance genes in soil. Environ. Int. 2016, 92, 1–10. [Google Scholar] [CrossRef]
  29. Gao, P.; Munir, M.; Xagoraraki, I. Correlation of tetracycline and sulfonamide antibiotics with corresponding resistance genes and resistant bacteria in a conventional municipal wastewater treatment plant. Sci. Total Environ. 2012, 421, 173–183. [Google Scholar] [CrossRef]
  30. Munir, M.; Xagoraraki, I. Levels of Antibiotic Resistance Genes in Manure, Biosolids, and Fertilized Soil. J. Environ. Qual. 2011, 40, 248–255. [Google Scholar] [CrossRef] [Green Version]
  31. Ma, Y.; Wilson, C.A.; Novak, J.T.; Riffat, R.; Aynur, S.; Murthy, S.; Pruden, A. Effect of Various Sludge Digestion Conditions on Sulfonamide, Macrolide, and Tetracycline Resistance Genes and Class I Integrons. Environ. Sci. Technol. 2011, 45, 7855–7861. [Google Scholar] [CrossRef]
  32. Yang, L.; Liu, W.; Zhu, D.; Hou, J.; Ma, T.; Wu, L.; Zhu, Y.; Christie, P. Application of biosolids drives the diversity of antibiotic resistance genes in soil and lettuce at harvest. Soil Biol. Biochem. 2018, 122, 131–140. [Google Scholar] [CrossRef]
  33. European Centre for Disease Prevention and Control (ECDC). Surveillance of Antimicrobial Resistance in Europe 2018; Annual report of the European Antimicrobial Resistance Surveillance Network (EARS-Net); ECDC: Stockholm, Sweden, 2018.
  34. Ruiz, J.; Pons, M.J.; Gomes, C. Transferable mechanisms of quinolone resistance. Int. J. Antimicrob. Agents 2012, 40, 196–203. [Google Scholar] [CrossRef]
  35. Wong, M.H.; Chan, E.W.; Liu, L.Z.; Chen, S. PMQR genes oqxAB and aac(6′)Ib-cr accelerate the development of fluoroquinolone resistance in Salmonella typhimurium. Front. Microbiol. 2014, 5, 521. [Google Scholar] [CrossRef] [PubMed]
  36. European Centre for Disease Prevention and Control (ECDC). Antimicrobial Consumption—Annual Epidemiological Report for 2018; ECDC: Stockholm, Sweden, 2019.
  37. Jiang, H.; Cheng, H.; Liang, Y.; Yu, S.; Yu, T.; Fang, J.; Zhu, C. Diverse Mobile Genetic Elements and Conjugal Transferability of Sulfonamide Resistance Genes (sul1, sul2, and sul3) in Escherichia coli Isolates From Penaeus vannamei and Pork From Large Markets in Zhejiang, China. Front. Microbiol. 2019, 10, 1787. [Google Scholar] [CrossRef] [Green Version]
  38. Hsu, J.T.; Chen, C.Y.; Young, C.W.; Chao, W.L.; Li, M.H.; Liu, Y.H.; Lin, C.M.; Ying, C. Prevalence of sulfonamide-resistant bacteria, resistance genes and integron-associated horizontal gene transfer in natural water bodies and soils adjacent to a swine feedlot in northern Taiwan. J. Hazard. Mater. 2014, 277, 34–43. [Google Scholar] [CrossRef] [PubMed]
  39. Yan, M.; Xu, C.; Huang, Y.; Nie, H.; Wang, J. Tetracyclines, sulfonamides and quinolones and their corresponding resistance genes in the Three Gorges Reservoir, China. Sci. Total Environ. 2018, 840–848. [Google Scholar] [CrossRef] [PubMed]
  40. Romańczuk, P.; Pieczykolan, M. Porównanie eksploatowanych ciągów technologicznych ściekowych na oczyszczalni ścieków Tychy–Urbanowice. Gaz Woda Tech. Sanit. 2006, 7-8, 49–53. [Google Scholar]
  41. Pei, R.; Kim, S.C.; Carlson, K.H.; Pruden, A. Effect of River Landscape on the sediment concentrations of antibiotics and corresponding antibiotic resistance genes (ARG). Water Res. 2006, 40, 2427–2435. [Google Scholar] [CrossRef]
  42. Li, J.; Wang, T.; Shao, B.; Shen, J.; Wang, S.; Wu, Y. Plasmid-Mediated Quinolone Resistance Genes and Antibiotic Residues in Wastewater and Soil Adjacent to Swine Feedlots: Potential Transfer to Agricultural Lands. Environ. Heal. Perspect. 2012, 120, 1144–1149. [Google Scholar] [CrossRef]
  43. Park, C.H.; Robicsek, A.; Jacoby, G.A.; Sahm, D.; Hooper, D.C. Prevalence in the United States of aac(6′)-Ib-cr Encoding a Ciprofloxacin-Modifying Enzyme. Antimicrob. Agents Chemother. 2006, 50, 3953–3955. [Google Scholar] [CrossRef] [Green Version]
  44. Kumar, S.; Stecher, G.; Tamura, K. MEGA7: Molecular Evolutionary Genetics Analysis version 7.0 for bigger datasets. Mol. Boil. Evol. 2016, 33, 1870–1874. [Google Scholar] [CrossRef] [Green Version]
  45. Kurasam, J.; Sihag, P.; Mandal, P.K.; Sarkar, S. Presence of fluoroquinolone resistance with persistent occurrence of gyrA gene mutations in a municipal wastewater treatment plant in India. Chemosphere 2018, 211, 817–825. [Google Scholar] [CrossRef]
  46. Osińska, A.; Harnisz, M.; Korzeniewska, E. Prevalence of plasmid-mediated multidrug resistance determinants in fluoroquinolone-resistant bacteria isolated from sewage and surface water. Environ. Sci. Pollut. Res. 2016, 23, 10818–10831. [Google Scholar] [CrossRef] [Green Version]
  47. Ziembińska-Buczyńska, A.; Felis, E.; Folkert, J.; Meresta, A.; Stawicka, D.; Gnida, A.; Surmacz-Górska, J. Detection of antibiotic resistance genes in wastewater treatment plant—Molecular and classical approach. Arch. Environ. Prot. 2015, 41, 23–32. [Google Scholar] [CrossRef]
  48. Wen, Y.; Pu, X.; Zheng, W.; Hu, G. High Prevalence of Plasmid-Mediated Quinolone Resistance and IncQ Plasmids Carrying qnrS2 Gene in Bacteria from Rivers near Hospitals and Aquaculture in China. PLoS ONE 2016, 11, e0159418. [Google Scholar] [CrossRef] [PubMed]
  49. Dong, P.; Wang, H.; Fang, T.; Wang, Y.; Ye, Q. Assessment of extracellular antibiotic resistance genes (eARGs) in typical environmental samples and the transforming ability of eARG. Environ. Int. 2019, 125, 90–96. [Google Scholar] [CrossRef] [PubMed]
  50. Tačić, A.; Nikolić, V.; Nikolić, L.; Savić, I. Antimicrobial sulfonamide drugs. Adv. Technol. 2017, 6, 58–71. [Google Scholar] [CrossRef] [Green Version]
  51. Gouvras, G. The European Centre for Disease Prevention and Control. Eurosurveillance 2004, 9, 2. [Google Scholar] [CrossRef]
  52. Koczura, R.; Mokracka, J.; Taraszewska, A.; Łopacinska, N. Abundance of Class 1 Integron-Integrase and Sulfonamide Resistance Genes in River Water and Sediment is Affected by Anthropogenic Pressure and Environmental Factors. Microb. Ecol. 2016, 72, 909–916. [Google Scholar] [CrossRef] [Green Version]
  53. Mohameda, H.S.A.; Uswege, M.; Robinson, H.M. Correlation between antibiotic concentrations genes contaminations at Mafisa wastewater treatment plant in Morogoro Municipality, Tanzania. Glob. Environ. Health Saf. 2018, 2, 5. [Google Scholar]
  54. Tao, C.-W.; Hsu, B.-M.; Ji, W.-T.; Hsu, T.-K.; Kao, P.-M.; Hsu, C.-P.; Shen, S.-M.; Shen, T.-Y.; Wan, T.-J.; Huang, Y.-L. Evaluation of five antibiotic resistance genes in wastewater treatment systems of swine farms by real-time PCR. Sci. Total Environ. 2014, 496, 116–121. [Google Scholar] [CrossRef]
  55. Szekeres, E.; Baricz, A.; Chiriac, C.M.; Farkas, A.; Opriş, O.; Soran, M.-L.; Andrei, A.Ş.; Rudi, K.; Balcázar, J.L.; Dragos, N.; et al. Abundance of antibiotics, antibiotic resistance genes and bacterial community composition in wastewater effluents from different Romanian hospitals. Environ. Pollut. 2017, 225, 304–315. [Google Scholar] [CrossRef]
  56. Gundogdu, A.; Long, Y.B.; Vollmerhausen, T.L.; Katouli, M. Antimicrobial resistance and distribution of sul genes and integron-associated intI genes among uropathogenic Escherichia coli in Queensland, Australia. J. Med. Microbiol. 2011, 60, 1633–1642. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  57. Poey, M.E.; Azpiroz, M.F.; Laviña, M. On sulfonamide resistance, sul genes, class 1 integrons and their horizontal transfer in Escherichia coli. Microb. Pathog. 2019, 135, 103611. [Google Scholar] [CrossRef] [PubMed]
  58. Statistics Poland; Agriculture Department. Farm Animals in 2017. 2018. Available online: https://stat.gov.pl/files/gfx/portalinformacyjny/pl/defaultaktualnosci/5508/6/18/1/zwierzeta_gospodarskie_w_2017_roku.pdf (accessed on 2 July 2020).
  59. Fares, A. Factors Influencing the Seasonal Patterns of Infectious Diseases. Int. J. Prev. Med. 2013, 4, 128–132. [Google Scholar] [PubMed]
  60. Zachara, J.; Zachara, R.; Zachara, N.; Matuszczak, A.; Kłoda, K. The comparison of use of antibiotics due to acute respiratory infections in the rural population of primary care in 2010 and 2017. J. Educ. Health Sport 2019, 9, 70–83. [Google Scholar]
  61. Yan, L.; Liu, D.; Wang, X.-H.; Wang, Y.; Zhang, B.; Wang, M.; Xu, H. Bacterial plasmid-mediated quinolone resistance genes in aquatic environments in China. Sci. Rep. 2017, 7, 40610. [Google Scholar] [CrossRef] [PubMed]
  62. Périchon, B.; Courvalin, P.; Galimand, M. Transferable Resistance to Aminoglycosides by Methylation of G1405 in 16S rRNA and to Hydrophilic Fluoroquinolones by QepA-Mediated Efflux in Escherichia coli. Antimicrob. Agents Chemother. 2007, 51, 2464–2469. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  63. Yamane, K.; Wachino, J.-I.; Suzuki, S.; Kimura, K.; Shibata, N.; Kato, H.; Shibayama, K.; Konda, T.; Arakawa, Y. New Plasmid-Mediated Fluoroquinolone Efflux Pump, QepA, Found in an Escherichia coli Clinical Isolate. Antimicrob. Agents Chemother. 2007, 51, 3354–3360. [Google Scholar] [CrossRef] [Green Version]
  64. Martínez-Martínez, L.; Pascual, A.; Jacoby, G.A. Quinolone resistance from a transferable plasmid. Lancet 1998, 351, 797–799. [Google Scholar] [CrossRef]
  65. Eurostat. Sewage Sludge Production and Disposal from Urban Wastewater (in Dry Substance (d.s)). Dataset [Tables], Product Code: Ten00030, Updated on 31 Jan 2020. Available online: http://ec.europa.eu/eurostat/tgm/table.do?tab=table&plugin=1&language=en&pcode=ten00030 (accessed on 2 July 2020).
  66. Nair, C.G.; Chao, C.; Ryall, B.; Williams, H.D. Sub-lethal concentrations of antibiotics increase mutation frequency in the cystic fibrosis pathogen Pseudomonas aeruginosa. Lett. Appl. Microbiol. 2013, 56, 149–154. [Google Scholar] [CrossRef]
  67. Kohanski, M.A.; Depristo, M.A.; Collins, J.J. Sublethal Antibiotic Treatment Leads to Multidrug Resistance via Radical-Induced Mutagenesis. Mol. Cell 2010, 37, 311–320. [Google Scholar] [CrossRef] [Green Version]
  68. Giebułtowicz, J.; Nałęcz-Jawecki, G.; Harnisz, M.; Kucharski, D.; Korzeniewska, E.; Płaza, G. Environmental Risk and Risk of Resistance Selection Due to Antimicrobials’ Occurrence in Two Polish Wastewater Treatment Plants and Receiving Surface Water. Molecules 2020, 25, 1470. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  69. European Committee on Antimicrobial Susceptibility Testing Breakpoint Tables for Interpretation of MICs and Zone Diameters Version 9.0, Valid from 1 January 2019. Available online: https://korld.nil.gov.pl/pdf/EUCAST_breakpoints_tlumaczenie_wersja%209.0_strona.pdf (accessed on 2 July 2020). (in Polish)
  70. Bengtsson-Palme, J.; Larsson, D.G.J. Concentrations of antibiotics predicted to select for resistant bacteria: Proposed limits for environmental regulation. Environ. Int. 2016, 86, 140–149. [Google Scholar] [CrossRef] [Green Version]
  71. Rowe, W.P.M.; Baker-Austin, C.; Verner-Jeffreys, D.W.; Ryan, J.J.; Micallef, C.; Maskell, D.J.; Pearce, G.P. Overexpression of antibiotic resistance genes in hospital effluents over time. J. Antimicrob. Chemother. 2017, 72, 1617–1623. [Google Scholar] [CrossRef] [PubMed]
  72. Ju, F.; Beck, K.; Yin, X.; Maccagnan, A.; McArdell, C.S.; Singer, H.P.; Johnson, D.R.; Zhang, T.; Bürgmann, H. Wastewater treatment plant resistomes are shaped by bacterial composition, genetic exchange, and upregulated expression in the effluent microbiomes. ISME J. 2019, 13, 346–360. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  73. Liu, Z.; Klümper, U.; Liu, Y.; Yang, Y.; Wei, Q.; Lin, J.-G.; Gu, J.-D.; Li, M. Metagenomic and metatranscriptomic analyses reveal activity and hosts of antibiotic resistance genes in activated sludge. Environ. Int. 2019, 129, 208–220. [Google Scholar] [CrossRef] [PubMed]
Table
Table 1. Types of collected samples.
Table 1. Types of collected samples.
Region of Silesia
(S-WWTP)* (n = 18)		Region of Warmia and Mazury
(WM-WWTP)** (n = 18)
Type of SampleSymbolType of SampleSymbol
Liquid samples from WWTPsUntreated wastewaterS1Untreated wastewaterW1
Wastewater from the outlet of the primary clarifierS2Wastewater from the outlet of the primary clarifierW2
Wastewater from the outlet of the secondary clarifierS3Wastewater in the biological chamberW3
Wastewater from the outlet of the C-TECH reactorS4Wastewater from the outlet of the multipurpose reactorW4
Treated wastewaterS5Treated wastewaterW5
Solid samples from WWTPsSludge from the outlet of the mechanical concentratorS6Sludge from the outlet of the open fermentation poolW6
Sludge from the outlet of the gravity concentratorS7Treated sludgeW7
River waterRiver water upstream the effluent discharge pointS8River water upstream the effluent discharge pointW8
River water downstream the effluent discharge pointS9River water downstream the effluent discharge pointW9
* Silesian wastewater treatment plant; ** Warmia and Mazury wastewater treatment plant.
Table
Table 2. Polymerase chain reaction (PCR) primers and parameters.
Table 2. Polymerase chain reaction (PCR) primers and parameters.
Target GenePrimer Sequence
(5′-3′)		Amplicon Size
(bp)		PCR Annealing Temp (°C)References
sul1CGCACCGGAAACATCGCTGCAC16355.9[41]
TGAAGTTCCGCCGCAAGGCTCG
sul2TCCGGTGGAGGCCGGTATCTGG19160.8
CGGGAATGCCATCTGCCTTGAG
qepACCAGCTCGGCAACTTGATAC57058[42]
ATGCTCGCCTTCCAGAAAA
aac(6′)-Ib-crTTGCGATGCTCTATGAGTGGCTA48255[43]
CTCGAATGCCTGGCGTGTTT
Table
Table 3. Presence of amplicons for genes encoding resistance to sulfonamides and fluoroquinolones in the analyzed samples. Colors correspond to sampling sites as in Table 1. + and − denote amplicons for each gene that were and were not detected via endpoint PCR, respectively.
Table 3. Presence of amplicons for genes encoding resistance to sulfonamides and fluoroquinolones in the analyzed samples. Colors correspond to sampling sites as in Table 1. + and − denote amplicons for each gene that were and were not detected via endpoint PCR, respectively.
Symbolsul1sul2qepAaac(6′)-Ib-cr
SummerFallSummerFallSummerFallSummerFall
S-WWTP *S1++++++++
S2++++−+++
S3+++−−+++
S4+++−−−++
S5+++−−+++
S6++−+−−++
S7++++++++
S8++−+−−++
S9++−+−−++
WM-WWTP **W1++++++++
W2++++++++
W3++++−+++
W4+++++−++
W5+++−++++
W6++++−−++
W7+++++−++
W8++−−−−++
W9+++−−+++
* Silesian wastewater treatment plant; ** Warmia and Mazury wastewater treatment plant.

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Rolbiecki, D.; Harnisz, M.; Korzeniewska, E.; Jałowiecki, Ł.; Płaza, G. Occurrence of Fluoroquinolones and Sulfonamides Resistance Genes in Wastewater and Sludge at Different Stages of Wastewater Treatment: A Preliminary Case Study. Appl. Sci. 2020, 10, 5816. https://doi.org/10.3390/app10175816

AMA Style

Rolbiecki D, Harnisz M, Korzeniewska E, Jałowiecki Ł, Płaza G. Occurrence of Fluoroquinolones and Sulfonamides Resistance Genes in Wastewater and Sludge at Different Stages of Wastewater Treatment: A Preliminary Case Study. Applied Sciences. 2020; 10(17):5816. https://doi.org/10.3390/app10175816

Chicago/Turabian Style

Rolbiecki, Damian, Monika Harnisz, Ewa Korzeniewska, Łukasz Jałowiecki, and Grażyna Płaza. 2020. "Occurrence of Fluoroquinolones and Sulfonamides Resistance Genes in Wastewater and Sludge at Different Stages of Wastewater Treatment: A Preliminary Case Study" Applied Sciences 10, no. 17: 5816. https://doi.org/10.3390/app10175816

APA Style

Rolbiecki, D., Harnisz, M., Korzeniewska, E., Jałowiecki, Ł., & Płaza, G. (2020). Occurrence of Fluoroquinolones and Sulfonamides Resistance Genes in Wastewater and Sludge at Different Stages of Wastewater Treatment: A Preliminary Case Study. Applied Sciences, 10(17), 5816. https://doi.org/10.3390/app10175816

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