Next Article in Journal
Clinical and Epidemiological Approach to Delirium in an Acute Care Unit: A Cross-Sectional Study
Next Article in Special Issue
Effect Mechanism Research of Carbon Price Drivers in China—A Case Study of Shenzhen
Previous Article in Journal
A Teledentistry Pilot Study on Patient-Initiated Care
Previous Article in Special Issue
Estimating the Carbon Emission of Construction Waste Recycling Using Grey Model and Life Cycle Assessment: A Case Study of Shanghai
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

The Dual Roles of Nano Zero-Valent Iron and Zinc Oxide in Antibiotics Resistance Genes (ARGs) Spread in Sediment

1
College of Environmental Sciences, Sichuan Agricultural University, Chengdu 611130, China
2
Environmental Science and Engineering, Guangdong Technion-Israel Institute of Technology, 241 Daxue Road, Shantou 515063, China
3
College of Resources, Sichuan Agricultural University, 211 Huimin Road, Chengdu 611130, China
*
Authors to whom correspondence should be addressed.
These authors contributed equally to this work.
Int. J. Environ. Res. Public Health 2022, 19(15), 9405; https://doi.org/10.3390/ijerph19159405
Submission received: 12 June 2022 / Revised: 23 July 2022 / Accepted: 29 July 2022 / Published: 31 July 2022
(This article belongs to the Special Issue Solid Waste Treatment, Biohazards, and Management)

Abstract

:
Nanoparticles (NPs) are widely used and ubiquitous in the environment, but the consequences of their release into the environment on antibiotics resistance genes (ARGs), microbial abundance, and community, are largely unknown. Therefore, this study examined the effect of nano zero-valent iron (nZVI) and zinc oxide (nZnO) on tetracycline resistance genes (tet-ARGs) and class 1 integron (intI1) in sediment under laboratory incubation. The coexistence of NPs and tetracycline (TC) on tet-ARGs/intI1 was also investigated. It was found that nZVI and nZnO promoted tet-ARGs/intI1 abundance in sediment without TC but reduced the inducing effect of TC on tet-ARGs/intI1 in sediment overlaid with TC solution. Without TC, nZVI, intI1, and the bacterial community could directly promote tet-ARGs spread in nZVI sediment, while intI1 and bacterial abundance were the most directly important reasons for tet-ARGs spread in nZnO sediment. With TC, nZVI and bacterial community could reduce tet-ARGs abundance in nZVI sediment, while nZnO and bacterial community could directly promote tet-ARGs in nZnO sediment. Finally, these findings provided valuable information for understanding the role of NPs in promoting and reducing ARGs in the environment.

1. Introduction

Antibiotic resistance genes (ARGs) in the environment have recently attracted much attention due to their risk to human health and food security [1,2]. The mortality caused by antibiotic resistance is 700,000 annually and may approach 10 million by 2050 [3]. Thus, ARGs have been proposed as emerging environmental pollutants and have received broad observations on their distribution in various environments, such as soils, sediments, waters, and even the air [4,5,6,7,8,9,10]. Under this circumstance, reducing the abundance of ARGs in the environment is necessary to protect human health.
Reducing ARGs is a direct and effective way to control the risk imposed by ARGs on human health [11,12,13]. Currently, efforts have been mainly focused on reducing ARGs before they enter the environment (i.e., source control). For example, technologies such as composting, alkaline treatment, Fenton treatment, membrane filtration, and others, have been applied to control the abundance of ARGs, and several technologies are efficient in lowering ARGs [14,15,16,17]. However, technologies for reducing ARGs that already existed in the environment (i.e., site remediation) have been less investigated. Notably, once ARGs enter the environment, eliminating them is difficult. For example, if pathogens in the environment acquire these extra ARGs, current antibiotics may be ineffective in controlling and killing pathogens, resulting in unnecessary mortalities [18,19,20]. Therefore, site remediation technologies are necessary to reduce ARG risks in the environment.
In recent decades, nanoparticles (NPs) have been frequently applied to site remediation directly in the environment [21,22]. For example, NPs, such as nano zero-valent iron (nZVI), have been widely applied for remediation of organic and inorganic contaminants in soil and groundwater due to their large surface area and good deliverability [21]. However, on the other hand, NPs are also reported to affect biota due to their potential toxicity [23,24]. For instance, nZVI was reported to diminish soil microbial biomass [25,26], and nano zinc oxide (nZnO) also showed the ability to reduce bacterial abundance in soil [27]. Many NPs exhibit antibacterial effects and are used to combat antibiotic resistance for medical care purposes [28]. From this aspect, applying NPs into the environment may reduce bacterial growth/abundance and thus ARGs through vertical gene transfer (i.e., VGT) [29,30]. Nonetheless, several studies have suggested that NPs (e.g., nZnO, copper NPs, and sphalerite NPs) promoted the dissemination of ARGs across bacterial genera through horizontal gene transfer (i.e., HGT) in pure cultures of E. coli [31,32]. Therefore, it is deduced that NPs may promote ARGs spread by affecting mobile genetic elements (MGEs) in the environment, which contradicts the above assumptions that NPs may reduce ARGs by reducing bacterial abundance. Regrettably, current knowledge can hardly confirm whether NPs application is feasible for reducing ARGs dissemination at site remediation operations.
The abuse of antibiotics has caused large amounts of antibiotics to be discharged into the environment, which may induce the amplification of ARGs [33,34]. Furthermore, NPs are reported to be able to inactivate and remove antibiotics from an aqueous solution [35,36]. Thus, it is assumed that NPs may reduce the inductive effects of antibiotics on amplifying ARGs, which may partially reduce ARGs in the environment. However, the effectiveness of the coexistence of antibiotics and NPs on ARGs spread is not clear at present. Therefore, examining the effect of NPs on ARGs in the environment is necessary to understand whether NPs could reduce ARGs dissemination in the environment with or without antibiotics as an inducer.
This study hypothesizes that NPs have dual roles in affecting ARGs spread because of inhibiting bacterial abundance/community via VGT and promoting ARGs dissemination via HGT. In addition, NPs may reduce the effectiveness of antibiotics in inducing ARGs. For testing these hypotheses, this study investigated the effect of NP addition on ARGs/MGEs abundance and bacterial community in sediment overlaid without and with antibiotics solution. Tetracycline resistance genes (tet-ARGs) and the first-class integron (intI1) were chosen to serve as representative markers of ARGs and MGEs, respectively. Moreover, this study chose nZVI and nZnO to represent NPs, and tetracycline as a representative antibiotic because of its wide usage and existence in water environments.

2. Materials and Methods

2.1. Sediment and Sampling

Sediment was sampled from a lake located in Chengdu, Sichuan Province, China. The longitude and latitude of the sampling site are 104°16′42″ E and 30°32′23″ N. This lake is used as a backup drinking water supply and stores approximately 2.8 million m3 of water. The water quality achieved Class III of the National Surface Water Quality Standard of China, indicating the water meets the requirement of second-grade drinking water, and for fisheries [37]. Briefly, the sediment was collected using a sediment grab for the surface sediment. After sampling, sediment was mixed thoroughly and passed through 10 mesh sieves (2 mm) to remove large debris, rock, and stones. The contents of total carbon and nitrogen in sediment were measured by an elemental analyzer (Vario El III, Elementar, Hanau, Germany), while the total phosphorus content was determined by melt-molybdenum, antimony, and scandium colorimetry [38]. The total carbon, nitrogen, and phosphorus contents were 0.5, 0.06, and 2.1 mg g−1, respectively.

2.2. Basic Properties of Nanoparticles

In this study, nZVI and nZnO were chosen as representative NPs. The nominal sizes of nZVI and nZnO were approximately 50 nm and 20 nm, respectively, according to Shanghai Xiangtian Co. Lit. (Shanghai, China). The BET surface area and pore volume of nZVI and nZnO were 26.4 m2 g−1 and 30.1 m2 g−1, and 0.015 and 0.076 cm3 g−1, respectively. The morphology of nZVI differed from nZnO, with nZVI, being a regular sphere, while nZnO had an irregular rod shape (Figure S1).

2.3. Incubation Experiments

Microcosm and incubation were used to investigate the addition of nanoparticles on ARGs under two scenarios: (1) sediment only (no tetracycline in the underlying water), and (2) sediment amended with tetracycline (10 mg L−1 tetracycline in the overlying water). The addition of nanoparticles into the sediment was set at 0, 0.0035, 0.035, 0.35, 3.5, and 35 mmol kg−1. The abbreviations of the different treatments are presented in Table 1. Briefly, 100 g sediment or sediment added with NPs (dry weight basis), was put into a sterilized 500 mL serum bottle (Figure S2). Then, 250 mL of overlying water was added to the bottle. In Scenario 1, overlying water was prepared with distilled water, while overlying water containing 10 mg L−1 tetracycline was applied in Scenario 2. The incubation was set at 25 °C for 28 days in the dark. Each treatment was conducted in triplicate. After incubation, the concentration of tetracycline in the overlying water was determined, but not detected in all treatments. The nZVI and nZnO were almost undissolved with soluble proportions (e.g., Fe2+ or Zn2+) in the biological media lower than 0.003% during incubation. Detailed dissolution information is listed in Table S1.

2.4. Quantitative-PCR and High-Throughput Sequencing

After incubation, the sediment in each serum bottle was collected for DNA extraction. According to the instruction manual, total DNA was extracted by DNeasy PowerSoil Kit (QIAGEN, Leipzig, Germany). The extracted DNA was checked for quality using Nanodrop 2000 (Thermo, Waltham, MA, USA) to ensure the value of A260–280 ranged from 1.8 to 2.0, and the DNA concentration was higher than 10 ng μL−1. Afterward, the DNA was stored at −80 °C before further analysis [17].
This study chose tet-ARGs and intI1 as representative marker genes to explore the NP additions on the fate of ARGs. Target genes, including tetA, tetC, tetM, tetO, tetQ, tetW, tetX, intI1 and 16S rRNA, were quantified by quantitative-PCR. The primers used for detecting these genes and the procedure conditions are listed in Table S2. A PCR Thermal Cycler Dice Real-Time System (Applied Biosystems, Foster City, CA, USA) was applied to conduct a quantitative-PCR procedure. The PCR procedure was as follows: 2 min initial denaturation at 95 °C followed by 40 cycles of denaturation at 95 °C for 10 s, and anneal and extended at 60 °C for 40 s [17]. The absolute abundance of target genes was represented as Log10 (gene copies) g−1 dry sediment.
Extracted genomic DNA of high quality was sent to Chengdu Institute of Biology, Chinese Academy of Sciences, for high-throughput sequencing (Illumina Miseq, San Diego, CA, USA). FLASH software (version 1.2.7) was applied to remove sequences shorter than 20 bp and quality scores lower than 75%. USEARCH software (version 8.0) was applied to cluster sequences. Finally, the operational taxonomic units (OTUs) with 97% similarity were assigned on the QIIME platform via the RDP Classifier [39].

2.5. Data Analysis

The data were analyzed by Excel software (version 2016, Microsoft, Redmond, DC, USA) and Origin software (version 2018, OriginLab, Northampton, MA, USA). In general, significance was accepted at p < 0.05. Moreover, the Partial Least Squares Path Model (PLS-PM) was used to assess the direct and indirect effect of nanoparticles, bacterial abundance, bacterial communities, and horizontal transfer (employing intI1) on tet-ARGs spread in sediment. PLS-PM was constructed by the R package plspm (version 0.4.9, R Studio, Boston, MA, USA) [40]. Finally, network analysis was applied to reveal the potential bacterial hosts of tet-ARGs and intI1 through R, utilizing the “psych” package and visualized via Gephi (version 0.9.2) (https:/gephi.org, accessed on 12 October 2021) [40].

3. Results

3.1. The Effect of NPs on Tet-ARGs/intI1 Abundance in Sediments

The results related NP addition on tet-ARGs/intI1 and 16S rRNA abundance in sediment incubation microcosms (i.e., scenario 1) are presented in Figure 1. Both the type and concentration of NPs influenced the selected genes’ abundance (Figure 1A–I). The abundance of tetA, tetC, tetM, tetO, tetQ, tetW, tetX, intI1 and 16S rRNA in CK were 5.26, 8.52, 4.75, 5.44, 5.16, 4.15, 5.15, 5.70, and 9.27 logs, respectively (Figure 1A–I). Compared to CK, nZVI additions increased the abundance of tetA, tetC, tetM, tetO, tetW, intI1 and 16S rRNA by 0.09-0.18, 0.65-0.83, 0.08-0.60, 0.03-0.78, 0.35-1.25, 0.33-0.65, and 0.13-0.52 logs, respectively (Figure 1A–D,F,H,I). On the other hand, nZnO additions increased the abundance of tetA, tetC, tetM, tetO, tetQ, tetW, and intI1 by 0.16-0.37, 0.21-0.82, 0.08-0.66, 0.18-0.44, 0.05-0.47, 0.40-0.94,and 0.50-0.78 logs relative to CK, respectively (Figure 1A–F and H).
When the abundance of all tet-ARGs was calculated as a sum, the total abundance of tet-ARGs after nZVI and nZnO amendment (38.6-42.4 logs) was higher than the control sediment (CK) (38.4 logs) (Figure 1A–I). The highest increment of tet-ARGs was found in nZVI-5 (3.97 logs) and nZnO-5 (4.02 logs) added sediment. Besides, it should be noted that the abundance of intI1 was significantly increased regardless of the concentrations of the NPs in this study (p < 0.05) (Figure 1G). Different from intI1, the 16S rRNA gene was only increased significantly by nZVI addition and higher addition of nZnO (e.g., nZnO-5) (p < 0.05) (Figure 1I). By comparison, the increment of intI1 abundance (0.34 to 0.79 logs) was higher than 16S rRNA (−0.11 to 0.52 logs). Based on these findings, the nZVI and nZnO additions affected these genes differently and generally increased favorably for tet-ARGs, intI1, and bacterial abundance.

3.2. The Effect of NPs on the Inducing Role of TC in Tet-ARGs/intI1 Abundance in Sediment

The effect of NPs on the inducing role of TC in tet-ARGs/intI1 abundance in sediment (i.e., scenario 2) is shown in Figure 2. In CK+TC sediment, the abundance of tetA, tetC, tetM, tetO, tetQ, tetW, tetX, intI1 and 16S rRNA in CK were 5.57, 9.34, 5.12, 5.46, 5.15, 5.48, 5.47, 6.86, and 9.18 logs, respectively (Figure 2A–I). Compared to CK+TC, nZVI additions reduced the abundance of tetW, tetX and intI1 by 0.20-0.98, 0.01-0.86, and 0.43-0.88 logs, respectively (Figure 2F–H). Notably, lower nZnO additions (nZnO-1, nZnO-2, nZnO-3) reduced the abundance of tetW, tetX, and intI1 by 0.50-1.85, 0.18-0.58, and 0.26-0.62 logs, while higher nZnO additions (nZnO-4, nZnO-5) promoted the abundance of these genes (Figure 2F–H). It should be noted that nZVI and nZnO additions did not reduce, but increased, the abundance of 16S rRNA by 0.06-0.42 logs (Figure 2I).
The sum of tet-ARGs in CK+TC was 41.59 logs, while the sum of tet-ARGs abundance in NPs sediments with TC ranged from 38.61 to 43.27 logs (Figure 2A–G). Notably, the highest reduction by nZVI and nZnO additions was found in nZVI-1 (2.98 logs) and nZnO-1 (1.57 logs), respectively. On the other hand, the highest addition of nZVI (nZVI-5) and nZnO (nZnO-5) increased the sum of tet-ARGs by 0.94 logs and 1.68 logs, respectively. Collectively, it can be concluded that nZVI and nZnO could reduce and increase the abundance of tet-ARGs depending on NPs dosage and type.

3.3. The Effect of nZVI and nZnO on Bacterial Diversity and Communities

The impact of nZVI and nZnO on bacterial diversity is presented in Table 2. In Scenario 1, nZVI and nZnO additions reduced OTUs, Shannon, and Chao1 index (Table 2). Relative to CK, nZVI-5 and nZnO-5 addition reduced OTUs, Shannon, and Chao1 index by 27.2%, 13.2%, 29.4%, and 39.3%, 19.0%, and 37.2%, respectively. In Scenario 2, nZVI and nZnO additions generally reduced bacterial diversity, except for nZVI-1and nZnO-1 (Table 2). Compared to CK+TC, nZVI-5 and nZnO-5 addition reduced OTUs, Shannon, and Chao1 index by 27.1%, 14.5%, 29.1%, and 33.7%, 18.2%, 36.4%, respectively.
The bacterial communities at the phylum level and their differences are presented in Figure 3. The relative abundance of Firmicutes in sediment was increased after nZVI-5 and nZnO-5 addition, while the relative abundance of Acidobacteria was decreased (Figure 3A). The reduction of Bacteroidetes was observed in nZVI-5 sediment but not in nZnO-5 sediment (Figure 3A). The PCoA results (Figure 3B) showed that bacterial communities in nZVI-5, nZnO-4, and nZnO-5 differed greatly from each other and other sediments, while the other sediments were close to each other. These findings suggested that adding a higher concentration of NPs (i.e., nZVI-5, nZnO-4, and nZnO-5) altered the bacterial community structure in sediment. Notably, it was found that sediments without TC were close to their counterpart with TC (Figure 3B). For example, nZVI-5 was close to nZVI-5+TC, nZnO-4 was close to nZnO-4+TC, and nZnO-5 was close to nZnO-5+TC (Figure 3B), suggesting that TC did not change the bacterial community structure remarkably.

3.4. The Correlations Related Tet-ARGs to NPs, intI1 Abundance, Bacterial Abundance and Community

The correlations related tet-ARGs to NPs, intI1 abundance, bacterial abundance, and community were explored by PLS analysis to find out the possible reasons why and how NPs affected tet-ARGs spread (Figure 4). In general, nZVI and nZnO could directly affect tet-ARGs (i.e., repression between NPs and ARGs); and indirectly affect tet-ARGs via affecting MGE (intI1), bacterial abundance, and bacterial community (i.e., repressions of multiple variables) (Figure 4).
In Scenario1 (without TC), the most direct effect on tet-ARGs in nZVI sediment was nZVI (1.68) (Figure 4A). The direct effect of the bacterial community (1.42) and MGE (1.02) on tet-ARGs was also high. Compared to MGE, bacterial abundance slightly affected tet-ARGs (−0.05) (Figure 4A). Unlike nZVI sediment, the most direct effect on tet-ARGs in nZnO sediment was bacterial abundance (0.72), while the direct effect of nZnO on tet-ARGs was small (−0.27) (Figure 4B). Except for bacterial abundance, MGE directly affected tet-ARGs with a value of 0.45 (Figure 4B). Notably, although the direct or indirect effects of these factors on tet-ARGs were given, no significance (p > 0.05) was observed.
In Scenario 2 (with TC), both nZVI (−1.33) and bacterial community (−2.14) showed a higher and negative effect on tet-ARGs in nZVI sediment, even though insignificant (p > 0.05) (Figure 4C). Unlike nZVI, nZnO (1.56) and bacterial community (2.98) showed a higher and positive effect (p > 0.05) on tet-ARGs in nZnO sediment under Scenario 2 (Figure 4D).

3.5. The Network Analysis between tet-ARGs/intI1 and the Bacterial Community at the Genus Level

Network analysis between tet-ARGs/intI1 and the bacterial community at the genus level (Top 50) was further explored to reveal the potential hosts of these genes under different treatments (Figure 5). There were 50 genera used to analyze the possible hosts of ARGs; thus, Figure 5 only presents the correlations between tet-ARGs/intI1 and bacterial genera with Pearson r > 0.6 with significance at p < 0.05. In Scenario 1 (without TC), 12 genera were significantly correlated with seven tet-ARGs/intI1 in nZVI sediments (Figure 5A), and 13 genera were strongly related to five tet-ARGs/intI1 in nZnO sediments (Figure 5B). In Scenario 2 (TC), four bacterial genera were significantly correlated with seven tet-ARGs/intI1 in nZVI+TC sediment (Figure 5C), while three genera were significantly related to three tet-ARG in nZnO+TC sediments (Figure 5D). Proteobacteria, Bacteroidetes, and Firmicutes were the potential hosts of tet-ARGs/intI1 at the phylum level (Figure 5).

4. Discussion

4.1. NPs Promote Tet-ARGs/intI1 Abundance in Sediment

According to previous studies, nZVI and nZnO addition may be toxic to bacterial growth, causing a reduction in bacterial abundance [41,42,43,44,45]. If bacterial biomass/growth is reduced after NPs addition, tet-ARGs replication via VGT should be decreased accordingly. However, this study observed that the abundance of bacteria and tet-ARGs were increased by nZVI and nZnO additions (Figure 1), contradicting the hypothesis that NPs should reduce bacterial abundance. In fact, no impact of NPs on microbial abundance was also reported when NP addition to sediment was executed at a lower dosage (e.g., 100 mg g−1) [46]. In this study, most nZVI and nZnO additions to sediment were much lower than those reported in studies that ranged from 2000 to 34,000 mg kg−1 soil [42,47]. Therefore, the lower dosage of nZVI and nZnO did not reduce but increased, bacterial abundance. In general, nZVI and nZnO can adsorb or remove pollutants that inhibit bacterial growth [24], thus might indirectly promoting bacterial growth.
This study also observed that nZVI and nZnO addition significantly increased the abundance of intI1 (essential HGT indicators) (Figure 1H), which agrees with the hypothesis that NPs promote the HGT of ARGs. In recent years, NPs (e.g., copper, silver, zinc oxide, titanium dioxide, and alumina NPs) were found to facilitate conjugative transfer (one kind of HGT) of plasmid-mediated ARGs across bacterial genera, suggesting the risk of NPs for disseminating of ARGs [31,32,48,49]. Moreover, Zhang et al. [50] proposed that the promoting effect of NPs on HGT of ARGs is comparable to the inducing effect of antibiotics, further emphasizing the critical role of NPs in spreading ARGs in the environment. It should be noted that most of these studies were conducted based on pure cultures of bacteria; however, whether NPs could promote the HGT of environmental ARGs, which has significant implications for understanding ARG fate in the environment, is still unknown. Fortunately, this study revealed that nZVI and nZnO addition promoted the role of HGT in disseminating ARGs. More importantly, it seems that the role of HGT in disseminating ARGs was more vital than VGT since the increased abundance of intI1 by nZVI and nZnO addition was higher than 16S rRNA (Figure 1H,I).
This study also observed that the influence of the same NPs on different tet-ARGs was different (Figure 1). The primary reason is that tetracycline resistance mechanisms differ for these specific genes. For example, tetA and tetC are attributed to efflux pumps [51,52]; tetM, tetO, tetQ, and tetW are attributed to ribosomal protection proteins [52,53]; and tetX is related to enzymatic inactivation [52,54]. Furthermore, these genes are bacteria-specific [52], contributing to the different changes of tet-ARGs by the same NP addition. In addition, the impact of nZVI and nZnO on the same tet-ARG was different at the same concentration, which was mainly caused by their various physicochemical properties, such as the core materials, particle size, and morphology (Figure S1) [41,50].

4.2. NPs Reduce the Role of TC in Inducing tet-ARGs/intI1 in Sediment

Compared with the counterparts of these genes shown in Figure 1, the abundance of tet-ARGs/intI1 in Scenario 2 (i.e., with TC) was higher than in Scenario 1 (i.e., without TC) (Figure 1 and Figure 2), implying TC induced the propagation of tet-ARGs/intI1. This is not a surprise because previous studies have reported that the existence of TC could enhance tet-ARGs abundance [55,56,57,58]. In addition, it is well known that bacteria can adopt tet-ARGs via efflux pump (tetA and tetC) or a mechanism involving ribosomal protection proteins (tetM, tetO, tetQ, and tetW), under the pressure of TC [52,55,56]. Thus, it is reasonable for TC to induce a higher abundance of these tet-ARGs (Figure S3).
Currently, the coexistence of antibiotics and NPs related to the fate of ARGs in the environment is an emerging issue that has been less reported. However, there is information that NPs can inactivate and remove antibiotics from aqueous solutions by different ways, such as adsorption, oxidation, and reduction [22,59,60]. For example, nZVI removes 90% TC under neutral conditions via adsorption [60], while nZnO modified adsorbent exhibits a high adsorption capacity for TC (approximately 98.7 mg g−1) [22]. TC in nZVI and nZnO sediments was not detected in this study (data not shown). Collectively, nZVI and nZnO addition can adsorb TC and then reduce TC mobility, thus alleviating the pressure of TC on bacteria and reducing the role of TC in inducing tet-ARGs. Notably, higher NPs addition should be avoided because the role of NPs in promoting tet-ARGs/intI1 might exceed the inducing role of TC; for instance, in scenario 2, nZnO-5 addition significantly promoted tetM and tetX relative to CK+TC (Figure 2).

4.3. NPs Alter Bacterial Diversity and Communities in Sediment

Currently, the impact of NPs on microorganisms in sediment is rarely reported, whereas this work partially supplemented the missing information. It is well known that environmental microorganisms are often resilient to perturbations (e.g., metal oxide NPs) [41]. Therefore, if considering the NPs as perturbations, the lower perturbation might not significantly result in microorganism changes; however, microorganisms may change when the perturbation becomes stronger [41]. Consequently, it is plausible that lower nZVI and nZnO addition did not change the bacterial community, while higher nZVI and nZnO additions strongly altered the bacterial community (Figure 3).
NPs could be either beneficial or detrimental to the microbial communities depending on the kind and concentration of NPs [24,27,44,45]. Usually, the interactions between NPs and bacteria relate to the disruption of membrane integrity and semipermeability, DNA or protein damage, bacterial agglomeration, and toxicity [24,44,45]. Given the strong reducing power of nZVI, the primary mechanism of nZVI influencing bacteria may be oxidative stress that destroys membrane properties and causes DNA damage [21,25,61]. In contrast, nZnO entering the environment is frequently found to generate reactive oxygen species (ROS) [42,62,63]; thus, the destruction of membrane semipermeability and DNA or protein damage by ROS is proposed as the main reason for bacterial alteration in sediment.
Notably, the effect of NPs on microorganisms is species-specific. As shown in Figure 3A, nZVI reduced the relative abundance of Acidobacteria and Bacteroidetes, indicating that these bacteria were more easily destroyed by nZVI. Additionally, the relative abundance of Firmicutes was increased by both nZnO and nZVI addition, suggesting that these bacteria were more resistant to nZnO and nZVI disturbance. These results implied that Firmicutes may play an essential role in spreading tet-ARGs/intI1, consistent with our previous studies [16,17]. By comparison, nZnO seemed more toxic to bacteria than nZVI because a lower concentration of nZnO (e.g., nZnO-4) also significantly altered the bacterial community (Figure 3B). The possible reason is that nZnO has a smaller particle size, making nZnO enter the bacterial cells more easily and obstructing the reproduction of certain bacteria [63].
The bacterial community under Scenario 2 (with TC) was similar to its counterpart in Scenario 1 (without TC) (Figure 3). However, unlike this work, published research reported that TC inhibited soil microbial growth and changed soil microbial community and function by selecting TC-resistant bacteria and decreasing sensitive bacterial groups [64,65]. Since TC was possibly adsorbed by sediment organic matter or NPs, the inhibitory role of TC was correspondingly reduced, causing insignificant changes in bacterial community structure in the present study.

4.4. Potential Reasons for ARGs Spread Affected by NPs in Sediment

As shown in Figure 4A, in scenario 1, the relative effect of factors on ARGs in nZVI sediment was nZVI (1.68) > bacterial community (1.42) > MGE (1.02) > bacterial abundance (−0.05). nZVI may result in oxidative stress on bacteria due to its strong reducing power, thus causing bacteria to become resilient and produce resistance genes [21,25,41,61]. The lower effect of bacterial abundance compared to MGE indicates that HGT among different bacteria might be more critical than VGT in nZVI sediment. The reasons why nZVI promoted HGT of ARGs can be attributed to: (1) the over-production of ROS caused by nZVI addition; (2) the up-regulated expressional levels of genes and proteins related to oxidative stress, cell membrane damage, and pilus generation, and (3) carrying ARGs for transmembrane transport (carries) [10,31,66]. Nonetheless, in this study, it was not a simple task to identify the reason for inducing HGT to increase tet-ARGs since sediment organic matter can affect the fate of tet-ARGs and nZVI [41].
In scenario 1, the relative effect of factors on ARGs in nZnO sediment were bacterial abundance (0.72) > MGE (0.45) > bacterial community (−0.37) > nZnO (−0.27) (Figure 4B). Bacteria are carriers of ARGs [44,45]; therefore, bacterial abundance positively affected tet-ARGs via VGT. Except for VGT, HGT also contributed partially to the spread of tet-ARGs in nZnO sediment. Previous studies reported that nZnO could promote spread across pure bacteria via HGT [31]. Under realistic conditions, the fate of environmental ARGs possibly differed from that of pure bacteria since the interactions between sediment and NPs might strongly affect the role of NPs in spreading ARGs. Coincidently, this study provided information that nZnO promoted the spread of ARGs across bacteria via HGT in sediment, which is vital for predicting the risk of ARGs in the environment.
In scenario 2, the negative effect of nZVI (−1.33) on ARGs might be because nZVI reduced the role of TC in inducing tet-ARG by adsorbing TC (Figure 1, Figure 2 and Figure 4C) [60]. On the other hand, the negative effect of the bacterial community (−2.14) (Figure 4C) on ARGs might be because the hosts of tet-ARGs were possibly reduced by nZVI, thus causing a reduction of tet-ARGs. The reduction of certain bacteria (e.g., Acidobacteria and Bacteroidetes) in Figure 3 partially supported the reason.
In scenario 2, nZnO (1.56) and bacterial community affected ARGs more than bacterial abundance and MGE in nZnO sediment (Figure 4D). The increased Firmicutes (e.g., nZnO-4+TC and nZnO-5+TC) in Figure 3 may explain the positive effect of the bacterial community on ARGs in nZnO sediment. Compared to nZVI, nZnO has a higher surface area and pore volume but a smaller size (Figure S1). Generally, the larger the surface area and pore volume, the higher the pollutants’ adsorption is [67]. Therefore, nZnO might still exert stress on bacteria and promote the production of resistance, although nZnO could inhibit the role of TC in inducing tet-ARGs.

4.5. The Potential Hosts of Tet-ARGs in Different NPs Added Sediments

In scenario 1, comparing nZVI and nZnO sediment (Figure 5A,B), bacterial genera carrying tet-ARGs/intI1 differed widely, suggesting that nZVI and nZnO affected bacteria by different mechanisms, such as the disruption of membrane integrity, DNA or protein damage [21,25,62,63]. However, TC existence reduced and altered the correlations between bacterial community and tet-ARGs/intI1. The lost relationships correlated tetX with Proteobacteria and Bacetroidetes revealed that the resistance mechanism of enzymatic inactivation might be lost under the pressure of TC when comparing nZVI and nZVI+TC sediment (Figure 5A,C) [52,68]. Furthermore, only tetO, tetM, and tetQ were significantly correlated with Proteobacteria in nZnO+TC sediment (Figure 5D), implying the dominant resistance was ribosomal protection proteins, and other resistance mechanisms might be lost due to the pressure of TC [52,53]. Notably, there was no correlation between intI1 and bacterial genera in nZnO+TC sediment, implying that TC might destroy the hosts of intI1 (e.g., Acidibacter, which was reduced by the coexistence of nZnO and TC in Figure S4) (Figure 5B,D).

5. Conclusions

This study revealed that nZVI and nZnO addition can promote the spread of tet-ARGs/intI1 in sediment via both VGT and HGT. However, the lower addition of nZVI and nZnO (e.g., <0.035 mmol kg−1) can reduce tet-ARGs/intI1 dissemination in sediment if the overlying water contains tetracycline. Moreover, a higher addition of nZVI and nZnO strongly altered bacterial community compositions regardless of whether tetracycline was present. By comparison, the effect of nZnO on ARGs and bacteria differed from nZVI, and nZnO may alter the bacterial community and promote ARGs more effectively. Based on these findings, the types and dosage of NPs and environmental background (e.g., whether antibiotics existed or not) should be carefully considered when applying NPs for pollution remediation.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/ijerph19159405/s1. Figure S1. SEM of nZVI (A 2 μm and B 500 nm) and nZnO (C 2 μm and D 500 nm) used in this study. Figure S2. Diagrammatic sketch of incubation equipment and the incubation condition used in this study. Figure S3. Differences between situation 1 (without tetracycline) and situation 2 (with tetracycline). Figure S4. Relative abundance of bacterial genera under nanoparticles addition and coexistence of nanoparticles and tetracycline in sediment (top 50). Table S1. Soluble proportion of Zn and Fe from nanoparticle (NP-modified sediment after incubation. Table S2. Primer, annealing temperature, and amplification size of the target genes in this study. References [69,70] are cited in the supplementary materials.

Author Contributions

Conceptualization, L.L. and D.D.; methodology, D.D., H.H., and Y.X.; validation, X.Z.; formal analysis, X.Z.; investigation, D.D., H.H. and Y.X.; writing—original draft preparation, L.L. and D.D.; writing—review and editing, J.G., Y.H., G.Y., O.D. and X.L.; supervision, L.L. and X.L.; funding acquisition, L.L. and O.D. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the Department of Science and Technology of Sichuan Province, China, grant number 2019YFH0068 and 2020YFH0163; the Key Laboratory of Agricultural Environment in Southwest Mountain Areas, Ministry of Agriculture, and Rural Affairs, China, the grant number AESMA-OPP-2019007; and the Power Construction Corporation of China grant number DJ-ZDXM-2019-42.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Feng, G.; Huang, H.; Chen, Y. Effects of emerging pollutants on the occurrence and transfer of antibiotic resistance genes: A review. J. Hazard. Mater. 2021, 420, 126602. [Google Scholar] [CrossRef]
  2. Zheng, H.; Feng, N.; Yang, T.; Shi, M.; Wang, X.; Zhang, Q.; Zhao, J.; Li, F.; Sun, K.; Xing, B. Individual and combined applications of biochar and pyroligneous acid mitigate dissemination of antibiotic resistance genes in agricultural soil. Sci. Total Environ. 2021, 796, 148962. [Google Scholar] [CrossRef] [PubMed]
  3. O’Neil, J. Tackling Drug-Resistant Infections Globally: Final Report And Recommendations; Wellcome Trust/HM Government: London, UK, 2016.
  4. Calero-Cáceres, W.; Méndez, J.; Martín-Díaz, J.; Muniesa, M. The Occurrence of antibiotic resistance genes in a Mediterranean river and their persistence in the riverbed sediment. Environ. Pollut. 2017, 223, 384–394. [Google Scholar] [CrossRef]
  5. Cheng, W.; Li, J.; Wu, Y.; Xu, L.; Su, C.; Qian, Y.; Zhu, Y.G.; Chen, H. Behavior of antibiotics and antibiotic resistance genes in eco-agricultural system: A case study. J. Hazard. Mater. 2016, 304, 18–25. [Google Scholar] [CrossRef] [PubMed]
  6. He, L.Y.; Ying, G.G.; Liu, Y.S.; Su, H.C.; Chen, J.; Liu, S.S.; Zhao, J.L. Discharge of swine wastes risks water quality and food safety: Antibiotics and antibiotic resistance genes from swine sources to the receiving environments. Environ. Int. 2016, 92–93, 210–219. [Google Scholar] [CrossRef] [PubMed]
  7. Pruden, A.; Pei, R.; Storteboom, H.; Carlson, K.H. Antibiotic resistance genes as emerging contaminants: Studies in Northern Colorado. Environ. Sci. Technol. 2006, 40, 7445–7450. [Google Scholar] [CrossRef] [PubMed]
  8. Singh, R.; Singh, A.P.; Kumar, S.; Giri, B.S.; Kim, K.H. Antibiotic resistance in major rivers in the world: A systematic review on occurrence, emergence, and management strategies. J. Clean. Prod. 2019, 234, 1484–1505. [Google Scholar] [CrossRef]
  9. Sun, J.; Jin, L.; He, T.; Wei, Z.; Liu, X.; Zhu, L.; Li, X. Antibiotic resistance genes (ARGs) in agricultural soils from the Yangtze river delta, China. Sci. Total Environ. 2020, 740, 140001. [Google Scholar] [CrossRef] [PubMed]
  10. Zhang, T.; Li, X.; Wang, M.; Chen, H.; Yang, Y.; Chen, Q.L.; Yao, M. Time-resolved spread of antibiotic resistance genes in highly polluted air. Environ. Int. 2019, 127, 333–339. [Google Scholar] [CrossRef] [PubMed]
  11. Pruden, A.; Larsson, D.G.J.; Amézquita, A.; Collignon, P.; Brandt, K.K.; Graham, D.W.; Lazorchak, J.M.; Suzuki, S.; Silley, P.; Snape, J.R.; et al. Management of options for reducing the release of antibiotics. Environ. Health Perspect. 2013, 121, 878–885. [Google Scholar] [CrossRef]
  12. Li, N.; Sheng, G.P.; Lu, Y.Z.; Zeng, R.J.; Yu, H.Q. Removal of antibiotic resistance genes from wastewater treatment plant effluent by coagulation. Water Res. 2017, 111, 204–212. [Google Scholar] [CrossRef] [PubMed]
  13. Huang, K.; Xia, H.; Zhang, Y.; Li, J.; Cui, G.; Li, F.; Bai, W.; Jiang, Y.; Wu, N. Elimination of antibiotic resistance genes and human pathogenic bacteria by earthworms during vermicomposting of dewatered sludge by metagenomic analysis. Bioresour. Technol. 2020, 297, 122451. [Google Scholar] [CrossRef] [PubMed]
  14. Ren, S.; Boo, C.; Guo, N.; Wang, S.; Elimelech, M.; Wang, Y. Photocatalytic reactive ultrafiltration membrane for removal of antibiotic resistant bacteria and antibiotic resistance genes from wastewater effluent. Environ. Sci. Technol. 2018, 52, 8666–8673. [Google Scholar] [CrossRef]
  15. Cui, P.; Bai, Y.; Li, X.; Peng, Z.; Chen, D.; Wu, Z.; Zhang, P.; Tan, Z.; Huang, K.; Chen, Z.; et al. Enhanced removal of antibiotic resistance genes and mobile genetic elements during sewage sludge composting covered with a semi-permeable membrane. J. Hazard. Mater. 2020, 396, 122738. [Google Scholar] [CrossRef]
  16. Wang, G.; Deng, D.; Hu, C.; Lou, L.; Luo, L.; He, J.; Tian, D.; Xiao, Y.; He, Y.; Zhang, S.; et al. More effective removal of antibiotic resistance genes from excess sludge by microwave integrated fenton treatment. Int. Biodeterior. Biodegrad. 2020, 149, 104920. [Google Scholar] [CrossRef]
  17. Luo, L.; Wang, G.; Wang, Z.; Ma, J.; He, Y.; He, J.; Wang, L.; Liu, Y.; Xiao, H.; Xiao, Y.; et al. Optimization of fenton process on removing antibiotic resistance genes from excess sludge by single-factor experiment and response surface methodology. Sci. Total Environ. 2021, 788, 147889. [Google Scholar] [CrossRef]
  18. Sekyere, J.O. Current state of resistance to antibiotics of last-resort in South Africa: A review from a public health perspective. Front. Public Health 2016, 4, 209. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  19. Nnadozie, C.F.; Kumari, S.; Bux, F. Status of pathogens, antibiotic resistance genes and antibiotic residues in wastewater treatment systems. Rev. Environ. Sci. Biotechnol. 2017, 16, 491–515. [Google Scholar] [CrossRef]
  20. Liu, J.; Gefen, O.; Ronin, I.; Bar-Meir, M.; Balaban, N.Q. Effect of tolerance on the evolution of antibiotic resistance under drug combinations. Science 2020, 367, 200–204. [Google Scholar] [CrossRef] [PubMed]
  21. Zhao, X.; Liu, W.; Cai, Z.; Han, B.; Qian, T.; Zhao, D. An overview of preparation and applications of stabilized zero-valent iron nanoparticles for soil and groundwater remediation. Water Res. 2016, 100, 245–266. [Google Scholar] [CrossRef] [Green Version]
  22. Mohammed, A.A.; Al-Musawi, T.J.; Kareem, S.L.; Zarrabi, M.; Al-Ma’abreh, A.M. Simultaneous adsorption of tetracycline, amoxicillin, and ciprofloxacin by pistachio shell powder coated with zinc oxide nanoparticles. Arab. J. Chem. 2019, 13, 4629–4643. [Google Scholar] [CrossRef]
  23. Jeevanandam, J.; Barhoum, A.; Chan, Y.S.; Dufresne, A.; Danquah, M.K. Review on nanoparticles and nanostructured materials: History, sources, toxicity and regulations. Beilstein J. Nanotechnol. 2018, 9, 1050–1074. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  24. Turan, N.B.; Erkan, H.S.; Engin, G.O.; Bilgili, M.S. Nanoparticles in the aquatic environment: Usage, properties, transformation and toxicity—A review. Process. Saf. Environ. Prot. 2019, 130, 238–249. [Google Scholar] [CrossRef]
  25. Pawlett, M.; Ritz, K.; Dorey, R.A.; Rocks, S.; Ramsden, J.; Harris, J.A. The impact of zero-valent iron nanoparticles upon soil microbial communities is context dependent. Environ. Sci. Pollut. Res. 2013, 20, 1041–1049. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  26. Montes de Oca-Vásquez, G.; Solano-Campos, F.; Vega-Baudrit, J.R.; López-Mondéjar, R.; Odriozola, I.; Vera, A.; Moreno, J.L.; Bastida, F. Environmentally relevant concentrations of silver nanoparticles diminish soil microbial biomass but do not alter enzyme activities or microbial diversity. J. Hazard. Mater. 2020, 391, 122224. [Google Scholar] [CrossRef] [PubMed]
  27. Jośko, I.; Oleszczuk, P.; Dobrzyńska, J.; Futa, B.; Joniec, J.; Dobrowolski, R. Long-term effect of ZnO and CuO nanoparticles on soil microbial community in different types of soil. Geoderma 2019, 352, 204–212. [Google Scholar] [CrossRef]
  28. Zhang, C.; Sun, R.; Xia, T. Adaption/resistance to antimicrobial nanoparticles: Will it be a problem? Nano Today 2020, 34, 100909. [Google Scholar] [CrossRef]
  29. Chen, Y.; Li, P.; Huang, Y.; Yu, K.; Chen, H.; Cui, K.; Huang, Q.; Zhang, J.; Yew-Hoong Gin, K.; He, Y. Environmental media exert a bottleneck in driving the dynamics of antibiotic resistance genes in modern aquatic environment. Water Res. 2019, 162, 127–138. [Google Scholar] [CrossRef] [PubMed]
  30. Wang, H.; Hou, L.; Liu, Y.; Liu, K.; Zhang, L.; Huang, F.; Wang, L.; Rashid, A.; Hu, A.; Yu, C. Horizontal and vertical gene transfer drive sediment antibiotic resistome in an urban lagoon system. J. Environ. Sci. 2021, 102, 11–23. [Google Scholar] [CrossRef]
  31. Wang, X.; Yang, F.; Zhao, J.; Xu, Y.; Mao, D.; Zhu, X.; Luo, Y.; Alvarez, P.J.J. Bacterial exposure to ZnO nanoparticles facilitates horizontal transfer of antibiotic resistance genes. NanoImpact 2018, 10, 61–67. [Google Scholar] [CrossRef]
  32. Zhang, S.; Wang, Y.; Song, H.; Lu, J.; Yuan, Z.; Guo, J. Copper nanoparticles and copper ions promote horizontal transfer of plasmid-mediated multi-antibiotic resistance genes across bacterial genera. Environ. Int. 2019, 129, 478–487. [Google Scholar] [CrossRef] [PubMed]
  33. Song, L.; Wang, C.; Jiang, G.; Ma, J.; Li, Y.; Chen, H.; Guo, J. Bioaerosol is an important transmission route of antibiotic resistance genes in pig farms. Environ. Int. 2021, 154, 106559. [Google Scholar] [CrossRef] [PubMed]
  34. Zhou, Z.C.; Liu, Y.; Lin, Z.J.; Shuai, X.Y.; Zhu, L.; Xu, L.; Meng, L.X.; Sun, Y.J.; Chen, H. Spread of antibiotic resistance genes and microbiota in airborne particulate aatter, dust, and human airways in the urban hospital. Environ. Int. 2021, 153, 106501. [Google Scholar] [CrossRef] [PubMed]
  35. Aydin, S.; Aydin, M.E.; Beduk, F.; Ulvi, A. Removal of antibiotics from aqueous solution by using magnetic Fe3O4/red mud-nanoparticles. Sci. Total Environ. 2019, 670, 539–546. [Google Scholar] [CrossRef]
  36. Dao, T.H.; Tran, T.T.; Nguyen, V.R.; Pham, T.N.M.; Vu, C.M.; Pham, T.D. Removal of antibiotic from aqueous solution using synthesized TiO2 nanoparticles: Characteristics and mechanisms. Environ. Earth Sci. 2018, 77, 359. [Google Scholar] [CrossRef]
  37. GB3838-02; Environmental Quality Standards for Surface Water. Ministry of Ecology and Environment of the People’s Republic of China: Beijing, China, 2002.
  38. Luo, L.; Ye, H.Y.; Zhang, D.H.; Gu, J.-D.; Deng, O.P. The dynamics of phosphorus fractions and the factors driving phosphorus cycle in Zoige Plateau peatland soil. Chemosphere 2021, 278, 130501. [Google Scholar] [CrossRef]
  39. Yao, M.; Rui, J.; Li, J.; Dai, Y.; Bai, Y.; Heděnec, P.; Wang, J.; Zhang, S.; Pei, K.; Liu, C.; et al. Rate-specific responses of prokaryotic diversity and structure to nitrogen deposition in the Leymus Chinensis Steppe. Soil Biol. Biochem. 2014, 79, 81–90. [Google Scholar] [CrossRef]
  40. Zhao, X.; Wang, Z.; Xu, T.; Feng, Z.; Liu, J.; Luo, L.; He, Y.; Xiao, Y.; Peng, H.; Zhang, Y.; et al. The fate of antibiotic resistance genes and their influential factors during excess sludge composting in a full-scale plant. Bioresour. Technol. 2021, 342, 126049. [Google Scholar] [CrossRef]
  41. Dinesh, R.; Anandaraj, M.; Srinivasan, V.; Hamza, S. Engineered nanoparticles in the soil and their potential implications to microbial activity. Geoderma 2012, 173–174, 19–27. [Google Scholar] [CrossRef]
  42. Ge, Y.; Schimel, J.P.; Holden, P.A. Evidence for negative effects of TiO2 and ZnO nanoparticles on soil bacterial communities. Environ. Sci. Technol. 2011, 45, 1659–1664. [Google Scholar] [CrossRef]
  43. Hänsch, M.; Emmerling, C. Effects of silver nanoparticles on the microbiota and enzyme activity in soil. J. Plant Nutr. Soil Sci. 2010, 173, 554–558. [Google Scholar] [CrossRef]
  44. Sillen, W.M.A.; Thijs, S.; Abbamondi, G.R.; Janssen, J.; Weyens, N.; White, J.C.; Vangronsveld, J. Effects of silver nanoparticles on soil microorganisms and maize biomass are linked in the rhizosphere. Soil Biol. Biochem. 2015, 91, 14–22. [Google Scholar] [CrossRef]
  45. Xu, C.; Peng, C.; Sun, L.; Zhang, S.; Huang, H.; Chen, Y.; Shi, J. Distinctive effects of TiO2 and CuO nanoparticles on soil microbes and their community structures in flooded paddy soil. Soil Biol. Biochem. 2015, 86, 24–33. [Google Scholar] [CrossRef]
  46. Simonin, M.; Richaume, A. Impact of engineered aanoparticles on the activity, abundance, and diversity of soil microbial communities: A review. Environ. Sci. Pollut. Res. 2015, 22, 13710–13723. [Google Scholar] [CrossRef] [Green Version]
  47. Fajardo, C.; Ortíz, L.T.; Rodríguez-Membibre, M.L.; Nande, M.; Lobo, M.C.; Martin, M. Assessing the impact of zero-valent iron (ZVI) nanotechnology on soil microbial structure and functionality: A molecular approach. Chemosphere 2012, 86, 802–808. [Google Scholar] [CrossRef] [PubMed]
  48. Qiu, Z.; Yu, Y.; Chen, Z.; Jin, M.; Yang, D.; Zhao, Z.; Wang, J.; Shen, Z.; Wang, X.; Qian, D.; et al. Nanoalumina promotes the horizontal transfer of multiresistance genes mediated by plasmids across genera. Proc. Natl. Acad. Sci. USA 2012, 109, 4944–4949. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  49. Lu, J.; Wang, Y.; Jin, M.; Yuan, Z.; Bond, P.; Guo, J. Both silver ions and silver nanoparticles facilitate the horizontal transfer of plasmid-mediated antibiotic resistance genes. Water Res. 2020, 169, 115229. [Google Scholar] [CrossRef] [PubMed]
  50. Zhang, S.; Lu, J.; Wang, Y.; Verstraete, W.; Yuan, Z.; Guo, J. Insights of metallic nanoparticles and ions in accelerating the bacterial uptake of antibiotic resistance genes. J. Hazard. Mater. 2022, 421, 126728. [Google Scholar] [CrossRef] [PubMed]
  51. Zhang, X.X.; Zhang, T.; Fang, H.H.P. Antibiotic resistance genes in water environment. Appl. Microbiol. Biotechnol. 2009, 82, 397–414. [Google Scholar] [CrossRef] [PubMed]
  52. Diehl, D.L.; Lapara, T.M. Effect of temperature on the fate of genes encoding tetracycline resistance and the integrase of Class 1 integrons within anaerobic and aerobic digesters treating municipal wastewater solids. Environ. Sci. Technol. 2010, 44, 9128–9133. [Google Scholar] [CrossRef]
  53. Chopra, I.; Roberts, M. Tetracycline antibiotics: Mode of action, applications, molecular biology, and epidemiology of bacterial resistance. Microbiol. Mol. Biol. Rev. 2001, 65, 232–260. [Google Scholar] [CrossRef] [Green Version]
  54. Auerbach, E.A.; Seyfried, E.E.; McMahon, K.D. Tetracycline resistance genes in activated sludge wastewater treatment plants. Water Res. 2007, 41, 1143–1151. [Google Scholar] [CrossRef] [PubMed]
  55. Zhang, M.Q.; Yuan, L.; Li, Z.H.; Zhang, H.C.; Sheng, G.P. Tetracycline exposure shifted microbial communities and enriched antibiotic resistance genes in the aerobic granular sludge. Environ. Int. 2019, 130, 104902. [Google Scholar] [CrossRef] [PubMed]
  56. Zhang, Y.; Geng, J.; Ma, H.; Ren, H.; Xu, K.; Ding, L. Characterization of microbial community and antibiotic resistance genes in activated sludge under tetracycline and sulfamethoxazole selection pressure. Sci. Total Environ. 2016, 571, 479–486. [Google Scholar] [CrossRef] [PubMed]
  57. Liu, K.; Sun, M.; Ye, M.; Chao, H.; Zhao, Y.; Xia, B.; Jiao, W.; Feng, Y.; Zheng, X.; Liu, M.; et al. Coexistence and association between heavy metals, tetracycline and corresponding resistance genes in vermicomposts originating from different substrates. Environ. Pollut. 2019, 244, 28–37. [Google Scholar] [CrossRef] [PubMed]
  58. Guo, X.; Zhu, L.; Zhong, H.; Li, P.; Zhang, C.; Wei, D. Response of antibiotic and heavy metal resistance genes to tetracyclines and copper in substrate-free hydroponic microcosms with myriophyllum aquaticum. J. Hazard. Mater. 2021, 413, 125444. [Google Scholar] [CrossRef] [PubMed]
  59. Huang, L.; Liu, G.; Dong, G.; Wu, X.; Wang, C.; Liu, Y. Reaction mechanism of zero-valent iron coupling with microbe to degrade tetracycline in permeable reactive barrier (PRB). Chem. Eng. J. 2017, 316, 525–533. [Google Scholar] [CrossRef]
  60. Cao, J.; Xiong, Z.; Lai, B. Effect of initial pH on the tetracycline (TC) removal by zero-valent iron: Adsorption, oxidation and reduction. Chem. Eng. J. 2018, 343, 492–499. [Google Scholar] [CrossRef]
  61. Auffan, M.; Rose, J.; Wiesner, M.R.; Bottero, J.Y. Chemical stability of metallic nanoparticles: A parameter controlling their potential cellular toxicity in vitro. Environ. Pollut. 2009, 157, 1127–1133. [Google Scholar] [CrossRef] [PubMed]
  62. Shen, Z.; Chen, Z.; Hou, Z.; Li, T.; Lu, X. Ecotoxicological effect of zinc oxide nanoparticles on soil microorganisms. Front. Environ. Sci. Eng. 2015, 9, 912–918. [Google Scholar] [CrossRef]
  63. Hou, J.; Wu, Y.; Li, X.; Wei, B.; Li, S.; Wang, X. Toxic Effects of different types of zinc oxide nanoparticles on algae, plants, invertebrates, vertebrates and microorganisms. Chemosphere 2018, 193, 852–860. [Google Scholar] [CrossRef] [PubMed]
  64. Xiong, W.; Wang, M.; Dai, J.; Sun, Y.; Zeng, Z. Application of manure containing tetracyclines slowed down the dissipation of tet resistance genes and caused changes in the composition of soil bacteria. Ecotoxicol. Environ. Saf. 2018, 147, 455–460. [Google Scholar] [CrossRef] [PubMed]
  65. Xu, L.; Wang, W.; Xu, W. Effects of tetracycline antibiotics in chicken manure on soil microbes and antibiotic resistance genes (ARGs). Environ. Geochem. Health 2022, 44, 273–284. [Google Scholar] [CrossRef] [PubMed]
  66. Ding, C.; Jin, M.; Ma, J.; Chen, Z.; Shen, Z.; Yang, D.; Shi, D.; Liu, W.; Kang, M.; Wang, J.; et al. Nano-Al2O3 can mediate transduction-like transformation of antibiotic resistance genes in water. J. Hazard. Mater. 2021, 405, 124224. [Google Scholar] [CrossRef] [PubMed]
  67. Luo, L.; Lou, L.P.; Cui, X.Y.; Wu, B.B.; Hou, J.A.; Xun, B.; Xu, X.H.; Chen, Y.X. Sorption and desorption of pentachlorophenol to black carbon of three different origins. J. Hazard. Mater. 2011, 185, 639–645. [Google Scholar] [CrossRef] [PubMed]
  68. Markley, J.L.; Wencewicz, T.A. Tetracycline-inactivating enzymes. Front. Microbiol. 2018, 9, 1058. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  69. Chen, B.W.; Liang, X.M.; Huang, X.P.; Zhang, T.; Li, X.D. Differentiating anthropogenic impacts on ARGs in the Pearl River Estuary by using suitable gene indicators. Water Res. 2013, 47, 2811–2820. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  70. Wang, R.; Chen, M.; Feng, F.; Zhang, J.; Sui, Q.; Tong, J.; Wei, Y.; Wei, D. Effects of chlortetracycline and copper on tetracyclines and copper resistance genes and microbial community during swine manure anaerobic digestion. Bioresour. Technol. 2017, 238, 57–69. [Google Scholar] [CrossRef] [PubMed] [Green Version]
Figure 1. Effect of nanoparticles on the abundance of (A) tetA, (B) tetC, (C) tetM, (D) tetO, (E) tetQ, (F) tetW, (G) tetX, (H) intI1 and (I) 16S rRNA in sediment under microcosm incubation (scenario 1). The different letter indicates p < 0.05.
Figure 1. Effect of nanoparticles on the abundance of (A) tetA, (B) tetC, (C) tetM, (D) tetO, (E) tetQ, (F) tetW, (G) tetX, (H) intI1 and (I) 16S rRNA in sediment under microcosm incubation (scenario 1). The different letter indicates p < 0.05.
Ijerph 19 09405 g001
Figure 2. Effect of nanoparticles on the abundance of (A) tetA, (B) tetC, (C) tetM, (D) tetO, (E) tetQ, (F) tetW, (G) tetX, (H) intI1 and (I) 16S rRNA sediment overlaid with 10 mg L−1 tetracycline solution (scenario 2). Different letters indicate p < 0.05.
Figure 2. Effect of nanoparticles on the abundance of (A) tetA, (B) tetC, (C) tetM, (D) tetO, (E) tetQ, (F) tetW, (G) tetX, (H) intI1 and (I) 16S rRNA sediment overlaid with 10 mg L−1 tetracycline solution (scenario 2). Different letters indicate p < 0.05.
Ijerph 19 09405 g002
Figure 3. (A) Bacterial community composition at phylum level in nanoparticle-amended sediments. (B) PCoA analysis of bacterial communities under nanoparticles addition and coexistence of nanoparticles and tetracycline in sediment. Others include CK, CK, nZnO-1, nZnO-2, nZnO-3, nZVI-1, nZVI-2, nZVI-3, nZVI-4, and their counterparts in scenario 2 (+TC).
Figure 3. (A) Bacterial community composition at phylum level in nanoparticle-amended sediments. (B) PCoA analysis of bacterial communities under nanoparticles addition and coexistence of nanoparticles and tetracycline in sediment. Others include CK, CK, nZnO-1, nZnO-2, nZnO-3, nZVI-1, nZVI-2, nZVI-3, nZVI-4, and their counterparts in scenario 2 (+TC).
Ijerph 19 09405 g003aIjerph 19 09405 g003b
Figure 4. The partial least squares path model (PLS-PM) shows different factors′ direct and indirect effects on ARGs abundance in sediment. (A) sediment added with nZVI but without tetracycline, (B) sediment added with nZnO but without tetracycline, (C) sediment added with nZVI and overlaid with 10 mg L −1 tetracycline, and (D) sediment added with nZnO and overlaid with 10 mg L −1 tetracycline. Red indicates a positive effect, while blue represents a negative effect. *, **, and *** represent p < 0.05, p < 0.01 and p < 0.001, respectively. Abundance indicates bacterial abundance, and community represents bacterial community.
Figure 4. The partial least squares path model (PLS-PM) shows different factors′ direct and indirect effects on ARGs abundance in sediment. (A) sediment added with nZVI but without tetracycline, (B) sediment added with nZnO but without tetracycline, (C) sediment added with nZVI and overlaid with 10 mg L −1 tetracycline, and (D) sediment added with nZnO and overlaid with 10 mg L −1 tetracycline. Red indicates a positive effect, while blue represents a negative effect. *, **, and *** represent p < 0.05, p < 0.01 and p < 0.001, respectively. Abundance indicates bacterial abundance, and community represents bacterial community.
Ijerph 19 09405 g004aIjerph 19 09405 g004b
Figure 5. Network analysis between bacterial genera and tet-ARG/intI1 in (A) nZVI, (B) nZnO, (C) nZVI+TC, and (D) nZnO+TC sediment. TC means sediment overlaid with 10 mg L−1 tetracycline solution.
Figure 5. Network analysis between bacterial genera and tet-ARG/intI1 in (A) nZVI, (B) nZnO, (C) nZVI+TC, and (D) nZnO+TC sediment. TC means sediment overlaid with 10 mg L−1 tetracycline solution.
Ijerph 19 09405 g005
Table 1. Experimental design of NP addition and the abbreviation used in this study.
Table 1. Experimental design of NP addition and the abbreviation used in this study.
NPsConcentration
(mmol kg−1)
Scenario 1: Sediment OnlyScenario 2: Sediment Overlaid with
Tetracycline Solution (10 mg L−1)
0CKCK+TC
nZVI0.0035nZVI-1nZVI-1+TC
0.035nZVI-2nZVI-2+TC
0.35nZVI-3nZVI-3+TC
3.5nZVI-4nZVI-4+TC
35nZVI-5nZVI-5+TC
nZnO0.0035nZnO-1nZnO-1+TC
0.035nZnO-2nZnO-2+TC
0.35nZnO-3nZnO-3+TC
3.5nZnO-4nZnO-4+TC
35nZnO-5nZnO-5+TC
TC = tetracycline; CK = sediment without nanoparticles and tetracycline; TC+CK indicates sediment with tetracycline but without nanoparticles.
Table 2. Changes in bacterial OTUs, diversity, and richness index by nanoparticle addition in sediment with or without tetracycline.
Table 2. Changes in bacterial OTUs, diversity, and richness index by nanoparticle addition in sediment with or without tetracycline.
Scenario 1: Sediment OnlyScenario 2: Sediment with Tetracycline (+TC)
OTUsShannonChao1OTUsShannonChao1
CK10,36412.5917,81410,01912.5117,181
nZVI-1823011.9012,66510,30412.5917,840
nZVI-2791311.8512,280982012.4915,962
nZVI-3947312.3115,975949612.4015,428
nZVI-4979012.4915,96910,41812.6117,982
nZVI-5754710.9312,584730610.7012,177
nZnO-1969112.4715,82310,12212.5616,829
nZnO-210,24712.6415,614863012.1712,814
nZnO-310,26012.5617,784993612.4717,027
nZnO-4816411.8912,500919012.2015,385
nZnO-5712710.3313,105654210.2210,689
OTUs Indicate Operational Taxonomic Units
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Luo, L.; Deng, D.; Zhao, X.; Hu, H.; Li, X.; Gu, J.; He, Y.; Yang, G.; Deng, O.; Xiao, Y. The Dual Roles of Nano Zero-Valent Iron and Zinc Oxide in Antibiotics Resistance Genes (ARGs) Spread in Sediment. Int. J. Environ. Res. Public Health 2022, 19, 9405. https://doi.org/10.3390/ijerph19159405

AMA Style

Luo L, Deng D, Zhao X, Hu H, Li X, Gu J, He Y, Yang G, Deng O, Xiao Y. The Dual Roles of Nano Zero-Valent Iron and Zinc Oxide in Antibiotics Resistance Genes (ARGs) Spread in Sediment. International Journal of Environmental Research and Public Health. 2022; 19(15):9405. https://doi.org/10.3390/ijerph19159405

Chicago/Turabian Style

Luo, Ling, Dahang Deng, Xin Zhao, Hairong Hu, Xinyi Li, Jidong Gu, Yan He, Gang Yang, Ouping Deng, and Yinlong Xiao. 2022. "The Dual Roles of Nano Zero-Valent Iron and Zinc Oxide in Antibiotics Resistance Genes (ARGs) Spread in Sediment" International Journal of Environmental Research and Public Health 19, no. 15: 9405. https://doi.org/10.3390/ijerph19159405

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop