<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v2.3 20070202//EN" "journalpublishing.dtd">
<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" article-type="research-article" dtd-version="2.3" xml:lang="EN">
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Mar. Sci.</journal-id>
<journal-title>Frontiers in Marine Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Mar. Sci.</abbrev-journal-title>
<issn pub-type="epub">2296-7745</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fmars.2022.1086606</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Marine Science</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Combined effect of Cu- and ZnO- NPs on antibiotic resistance genes in an estuarine water</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Chen</surname>
<given-names>Yu-ru</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2139860"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Sha</surname>
<given-names>Rong-rong</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Sun</surname>
<given-names>Xiao-li</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Guo</surname>
<given-names>Xing-pan</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1704044"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Yang</surname>
<given-names>Yi</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>College of Chemistry and Environmental Engineering, Shenzhen University</institution>, <addr-line>Shenzhen</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Key Laboratory of Geographic Information Science (Ministry of Education), School of Geographical Sciences, East China Normal University</institution>, <addr-line>Shanghai</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Institute of Eco-Chongming, East China Normal University</institution>, <addr-line>Shanghai</addr-line>, <country>China</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>State Key Laboratory of Estuarine and Coastal Research, East China Normal University</institution>, <addr-line>Shanghai</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Sujin Kim, Baylor University, United States</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Sivalingam Periyasamy, National Research Council (CNR), Italy; Ilunga Kamika, University of South Africa, South Africa</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Xing-pan Guo, <email xlink:href="mailto:xpguo@geo.ecnu.edu.cn">xpguo@geo.ecnu.edu.cn</email>
</p>
</fn>
<fn fn-type="other" id="fn002">
<p>This article was submitted to Marine Pollution, a section of the journal Frontiers in Marine Science</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>16</day>
<month>01</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>9</volume>
<elocation-id>1086606</elocation-id>
<history>
<date date-type="received">
<day>01</day>
<month>11</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>29</day>
<month>12</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2023 Chen, Sha, Sun, Guo and Yang</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Chen, Sha, Sun, Guo and Yang</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>Most studies of whether and how nanoparticles (NPs) affect antibiotic resistance genes (ARGs) focus on testing single NPs type. In this study, we determined the combined effect of Cu- and ZnO- NPs in the water samples collected from the Yangtze River Estuary and found the effect differs greatly from that produced by individual NPs. The results showed that the Cu- and ZnO- NPs co-exposure resulted in an enrichment of ARGs, whereas individual Cu- and ZnO- NPs exposure decreased the abundance of ARGs. Furthermore, the co-exposure of Cu- and ZnO- NPs induced obvious changes in the microbial communities compared to the control communities. Redundancy analysis suggested that the microbial community contributed the most (43.5%) to the ARG profiles, followed by dissolved metal ions (25.7%), MRGs, (19.4%), and MGEs (4.4%). Network analysis found several potential hosts (such as <italic>Mycobacterium</italic> and <italic>Escherichia coli</italic>) and implied the extent of the risk of ARG transmission into various environmental niches by these common microbes.</p>
</abstract>
<kwd-group>
<kwd>Cu nanoparticles</kwd>
<kwd>ZnO nanoparticles</kwd>
<kwd>co-exposure</kwd>
<kwd>antibiotic resistance genes</kwd>
<kwd>microbial community</kwd>
</kwd-group>
<counts>
<fig-count count="4"/>
<table-count count="0"/>
<equation-count count="0"/>
<ref-count count="56"/>
<page-count count="10"/>
<word-count count="6262"/>
</counts>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>    <p>The very large production and utilization of engineered nanoparticles (NPs) in a variety of fields may directly or indirectly lead to an increase in residual NP concentrations in the environment, which may pose potential effects on various organisms in aquatic or terrestrial ecosystems and attracts more attention on their ecological risks (<xref ref-type="bibr" rid="B7">Bundschuh et&#xa0;al., 2018</xref>). For example, due to their unique structural and optical properties (<xref ref-type="bibr" rid="B11">Collins et&#xa0;al., 2012</xref>), copper (Cu) NPs are widely added to catalysts and electronics. One of the first commercial NPs, zinc oxide (ZnO) NPs are widely used in textile, cosmetic, pigment, food additive, and medical industries (<xref ref-type="bibr" rid="B35">Piccinno et&#xa0;al., 2012</xref>). It has been reported that metal-based NPs (M-NPs) are commonly found as colloids in aquatic environments, and dissolved metal ions or small inorganic complexes produced by M-NPs may be toxic to tested organisms (<xref ref-type="bibr" rid="B25">Liu et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B46">Turan et&#xa0;al., 2019</xref>). The effect of exposure to single M-NPs, such as Cu or ZnO NPs, has been investigated, and in contrast to studies that suggesting that the dissolved metal species of Cu and ZnO NPs were more toxic than particle forms (<xref ref-type="bibr" rid="B4">Barjhoux et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B1">Adam et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B21">Hua et&#xa0;al., 2014</xref>), it has been reported that the cytotoxic effects were most likely due to the particulate forms of Cu and ZnO NPs (<xref ref-type="bibr" rid="B15">Ferna&#xed;ndez-Cruz et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B41">Song et&#xa0;al., 2014</xref>). Notably, the exposure of organisms to multiple contaminants is likely to take place in the natural environment (<xref ref-type="bibr" rid="B48">Wang et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B17">Guo et&#xa0;al., 2018a</xref>). Nevertheless, it is a phenomenon that Cu and ZnO NPs naturally occurred in the environment; for instance, in freshwater, soil, air, and landfills (<xref ref-type="bibr" rid="B23">Keller and Lazareva, 2014</xref>; <xref ref-type="bibr" rid="B36">Pu et&#xa0;al., 2016</xref>), but the knowledge of the joint effects of Cu and ZnO NPs on organisms is still lacking.</p>
<p>Antibiotic resistance contamination has become a worldwide challenge since nearly all classes of antibiotics and a wide range of antibiotic-resistant bacteria (ARB) and antibiotic resistance genes (ARGs) have been observed in various environmental matrices (<xref ref-type="bibr" rid="B6">Berglund, 2015</xref>; <xref ref-type="bibr" rid="B3">Amarasiri et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B33">Mills and Lee, 2019</xref>), among which surface water is an important reservoir of ARGs and ARB (<xref ref-type="bibr" rid="B43">Stoll et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B55">Zhang et&#xa0;al., 2016</xref>). In surface water, ARGs and ARB could be easily transmitted <italic>via</italic> microorganisms between humans and other animal species, and ARGs could also be spread by microbial community succession and mobile gene elements (MGEs); i.e., integrons, plasmids, and transposons (<xref ref-type="bibr" rid="B29">MacLean and San Millan, 2019</xref>).</p>
<p>There has been emerging evidence that single M-NPs such as Al<sub>2</sub>O<sub>3</sub>, TiO<sub>2</sub>, Fe<sub>2</sub>O<sub>3</sub>, CuO, and ZnO could promote antibiotic resistance spread <italic>via</italic> horizontal gene transfer (HGT) in pure culture (<xref ref-type="bibr" rid="B38">Qiu et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B37">Qiu et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B49">Wang et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B54">Zhang et&#xa0;al., 2019</xref>), suggesting the potential risk of ARG dissemination in the presence of M-NPs. Moreover, the metal ions released from M-NPs (e.g., Ag, CuO, ZnO) likely contribute to the promotion of conjugation frequencies, and the conjugation of ARGs facilitated by M-NPs has occurred through mechanisms including intracellular reactive oxygen species production, the SOS response, and cell membrane permeability (<xref ref-type="bibr" rid="B49">Wang et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B54">Zhang et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B28">Lu et&#xa0;al., 2020</xref>). Additionally, the natural environment is a complex heterogeneous matrix comprised of heterogenous chemical and bacterial compositions: determining the effects of M-NPs on the propagation of ARGs in a natural environment is a topic of importance. Recent studies, although limited, had reported that microbial communities and ARG profiles could be altered in various environmental matrices (e.g., wastewater, estuarine water, sludge) when exposed to specific M-NPs (e.g., Au, Ag, CuO, ZnO) (<xref ref-type="bibr" rid="B31">Ma et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B32">Metch et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B9">Chen et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B51">Zhang et&#xa0;al., 2020</xref>). Moreover, it is likely that the mixture of various pollutants may have a greater impact on the test organism than that of individual chemicals (<xref ref-type="bibr" rid="B20">Huang et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B30">Malandrakis et&#xa0;al., 2020</xref>).</p>
<p>Estuary and nearby coastal areas have great ecological and economic significance and often receive considerable pollutant inputs (e.g., ARGs, ARB, NPs, heavy metals, organic pollutants) from urban runoff, river runoff, and sewage outfalls (<xref ref-type="bibr" rid="B12">Czekalski et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B16">Guo et&#xa0;al., 2018b</xref>; <xref ref-type="bibr" rid="B45">Tou et&#xa0;al., 2021</xref>). ARG pollution in estuaries worldwide has been investigated, among which the Yangtze River Estuary is the most frequently examined in China, due to its significant economic and ecological value (<xref ref-type="bibr" rid="B24">Lin et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B16">Guo et&#xa0;al., 2018b</xref>). However, it is currently unclear how the presence of multiple M-NPs co-exposure influences the microbial communities and ARGs in the estuarine environment. It is crucial to better understand the ARG dissemination risk in estuarine waters under the stress of M-NP co-exposure.</p>
<p>In the current study, Cu- and ZnO- NPs were selected as representative M-NPs to investigate the changes in microbial community and ARG abundance influenced by the coexistence of those two NPs under environmentally relevant concentrations in the Yangtze River Estuary. Those two M-NPs were chosen on the basis that (1) Cu and Zn are heavy metals of great environmental concern that show significant correlations with the concentrations of ARGs in various environment matrices (e.g., water, sediment, and biofilm) (<xref ref-type="bibr" rid="B22">Ji et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B17">Guo et&#xa0;al., 2018a</xref>; <xref ref-type="bibr" rid="B10">Chen et&#xa0;al., 2020</xref>), and (2) Cu and ZnO are the most commonly used nanomaterials in the coatings, chemical sensors, catalysis, and cosmetics industries (<xref ref-type="bibr" rid="B11">Collins et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B35">Piccinno et&#xa0;al., 2012</xref>). In particular, ZnO NPs have been widely detected in the water and sediment of the Yangtze River Estuary (<xref ref-type="bibr" rid="B10">Chen et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B45">Tou et&#xa0;al., 2021</xref>). To this end, the associations among the concentrations of the released metal ions, MGEs, and ARGs as well as the microbial community were investigated. The objectives of this study were (1) to evaluate the effect of the coexistence of Cu and ZnO NPs on variations in the microbial community and ARG profiles in estuarine waters and (2) to explore the underlying mechanisms of the selection of ARGs during Cu and ZnO NPs co-exposure.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<title>Materials and methods</title>
<sec id="s2_1">
<title>Estuarine water samples</title>
<p>Water samples were collected from the Yangtze River Estuary in March 2018. The sampling site (longitude: 121&#xb0;25&#x2032;59.8&#x201d; East, latitude: 31&#xb0;28&#x2032;52.1&#x201d; North) (<xref ref-type="supplementary-material" rid="SM1">
<bold>Figure S1</bold>
</xref>) is located near a sewage outfall of a wastewater treatment plant along the Yangtze River. The specific information of water properties is presented in the <xref ref-type="supplementary-material" rid="SM1">
<bold>Table S1</bold>
</xref>.</p>
</sec>
<sec id="s2_2">
<title>Nanoparticle preparation</title>
<p>Commercial Cu NPs (50 nm, powder) and ZnO NPs (60 nm, powder) were purchased from the Chaowei Nanotechnology Co., Ltd. (Shanghai, China). The size and morphology of NPs were characterized by a transmission electron microscope (JEM-2100F, JEOL, Japan) according to our previous study (<xref ref-type="bibr" rid="B34">Niu et&#xa0;al., 2018</xref>) and the detailed information are listed in <xref ref-type="supplementary-material" rid="SM1">
<bold>Figure S2</bold>
</xref>. The 1,000 mg/L stock solutions were prepared and ultrasonically dispersed (100 W, 40 kHz) in filtration-sterilized ultrapure water for 30&#xa0;min (temperature controlled by crushed ice) before use.</p>
</sec>
<sec id="s2_3">
<title>Experimental setup of nanoparticle exposure</title>
<p>The exposure experiments were conducted in conical flasks that were sequentially cleaned with tap water, ultrapure water, and acetone. Due to our previous results found that Zn<sup>2+</sup> and Cu<sup>2+</sup> were significantly correlated to ARGs (<xref ref-type="bibr" rid="B16">Guo et&#xa0;al., 2018b</xref>) and ZnO NPs (0.2 and 1 mg/L) could induce the selection of ARGs in this study area (<xref ref-type="bibr" rid="B9">Chen et&#xa0;al., 2019</xref>), the ZnO NPs was selected and its individual final working concentration was set to 0.5 mg/L. For comparison with ZnO NPs, the elemental Cu NPs was chosen and its concentration was also set to 0.5 mg/L. The combination group contained 0.25 mg/L of ZnO and Cu NPs, respectively and the blank control group without any NPs was set at the same time. The collected water samples were mixed first and then separated into sub-samples before use. After the preparation, the flasks with 800 mL estuarine water were placed in a shaker (150 rpm) at the temperature of 25&#xb0;C in a 12&#xa0;h dark/12&#xa0;h light cycle. In our previous publications, the results showed an obvious time-dependent variation in ARG profiles and the microbial community over a 24&#xa0;h period when exposed to ZnO NPs (<xref ref-type="bibr" rid="B9">Chen et&#xa0;al., 2019</xref>), especially within 3&#xa0;h. Therefore, samples were collected at 0&#xa0;h, 1&#xa0;h, 3&#xa0;h, 6&#xa0;h, 12&#xa0;h, and 24&#xa0;h. The collected samples were immediately vacuum filtered through a filter membrane (0.22 &#x3bc;m), and then the membranes were stored at &#x2013;20&#xb0;C until DNA extraction. All these culture assays were conducted in triplicates. In order to eliminate artificial disturbances and to better mimic the environmental conditions, any nutrients were not added to the samples during the experiments.</p>
</sec>
<sec id="s2_4">
<title>Metal ion control groups</title>
<p>In this study, the effects of metal ions released from NPs on variations in microbial community and ARGs were investigated. When the water samples in the NP exposure experiments were collected, 5 mL subsamples were withdrawn from each treatment at a certain exposure time (0&#xa0;h, 1&#xa0;h, 3&#xa0;h, 6&#xa0;h, 12&#xa0;h, and 24&#xa0;h) as well. Once collected, the samples were centrifuged at 12,000 rpm for 30&#xa0;min, then the supernatants were subjected to analyze the concentration of metal ions dissolved from M-NPs with an inductively coupled plasma mass spectrometry (Perkin-Elmer, NexION 350D, USA). In accordance with the detected concentrations, CuSO<sub>4</sub>&#xb7;5H<sub>2</sub>O and ZnSO<sub>4</sub>&#xb7;7H<sub>2</sub>O (AR, Sinopharm Chemical Reagent Co., Ltd., Shanghai, China) were prepared and used as the source of Cu<sup>2+</sup> and Zn<sup>2+</sup> in the metal ion controls to mimic nanoparticle dissolution. Likewise, samples on the filter membranes were taken for microbial community and ARG analysis. All the procedures were similar to those of the NP exposure experiment described in Section &#x201c;Experimental Setup of Nanoparticle Exposure&#x201d;, and the culture assays were conducted in triplicates.</p>
</sec>
<sec id="s2_5">
<title>DNA extraction and quantitative polymerase chain reaction analysis</title>
<p>The DNA of all the samples was isolated from the filter membranes by a soil DNA kit (Mag-Bind, Omega Bio-Tek, USA) according to the manufacturer&#x2019;s instructions. Following extraction, high-quality DNA samples (A260/A280: 1.8&#x2013;2.0) were stored at &#x2013;20&#xb0;C for further analysis of the ARGs and the microbial community. Given our previous studies in the Yangtze River Estuary, six most prevalent ARGs which consisted of two sulfonamide resistance genes (<italic>sul</italic>1 and <italic>sul</italic>2), two tetracycline resistance genes (<italic>tet</italic>A and <italic>tet</italic>W), one macrolide resistance gene (<italic>erm</italic>B) and one aminoglycoside resistance gene (<italic>aac(6&#x2019;)</italic>-Ib) together with class 1 integron (<italic>int</italic>I1), conjugative transposon (Tn<italic>916/1545</italic>), zinc and copper resistance genes (<italic>znt</italic>A, <italic>znt</italic>B and <italic>cop</italic>A), and 16S rRNA were chosen as target genes for quantitative PCR analysis (<xref ref-type="bibr" rid="B17">Guo et&#xa0;al., 2018a</xref>; <xref ref-type="bibr" rid="B16">Guo et&#xa0;al., 2018b</xref>). The assays were conducted in a 25 &#x3bc;L volume reaction that consisted of 12.5 &#x3bc;L of 2 &#xd7; SGExcel FastSYBR mixture (with ROX) (Sangon, China), 1 &#x3bc;L of standard plasmid or DNA template, 0.5 &#x3bc;L of each primer (10 &#x3bc;M), and 10.5 &#x3bc;L of ddH<sub>2</sub>O. The primer sequences, amplification protocols, and standard curves for all target genes are listed in <xref ref-type="supplementary-material" rid="SM1">
<bold>Tables S2, S3</bold>
</xref>.</p>
</sec>
<sec id="s2_6">
<title>Microbial community analysis</title>
<p>Illumina MiSeq sequencing (Verogen, USA) was used to assess the microbial community composition of the water samples during Cu and ZnO NP exposure, and the 16S rRNA gene (V3&#x2013;V4 region) was amplified with details shown in the supplementary material. Then, the amplicons were analysed on an Illumina MiSeq platform by Personal Biotechnology (Shanghai, China). The sequence data were analyzed by QIIME software (v1.8.0). Then, the resulting sequences were clustered into operational taxonomic units (OTUs) by USEARCH method with a similarity level of 97% (<xref ref-type="bibr" rid="B14">Edgar, 2010</xref>). The original paired Illumina MiSeq reads were submitted to the NCBI sequence Read Archive (SRA) database (accession number SRP409221).</p>
</sec>
<sec id="s2_7">
<title>Statistical analysis</title>
<p>Comparisons of individual gene abundance were done by one-way analysis of variance using SPSS 19.0 software (IBM, USA) and the Spearman correlation analysis was conducted to analyze the correlations between ARGs, MRGs, MGEs, and dissolved ions. <italic>P &lt;</italic> 0.05 indicates significant correlation or significant difference. The heatmap analysis, the principal component analysis (PCA), and the redundancy discriminant analysis (RDA) were conducted using the R base packages. Network analysis based on a Spearman&#x2019;s correlation analysis between ARGs, MRGs, MGEs and genera were performed using Gephi.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s3_1">
<title>Response of target ARGs to stresses of individual and combined Cu and ZnO NPs</title>
<p>The relative abundances of the six target ARGs in all the treatment groups ranged from &#x2013;5.4 to &#x2013;1.4 log<sub>10</sub> (copies/16S rRNA) (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1A</bold>
</xref>). Notably, <italic>sul</italic>1 and <italic>sul</italic>2 with the relative abundance ranging from &#x2013;3.1 to &#x2013;1.4 log<sub>10</sub> (copies/16S rRNA) were consistently found to be the dominant ARGs compared to the other four ARGs and accounted for 64%&#x2013;90% of the six ARGs. By contrast, there was no apparent predominance concerning the relative abundances of <italic>tet</italic>A, <italic>tet</italic>W, <italic>aac(6&#x2019;)</italic>-Ib, and <italic>erm</italic>B, which were in the range of &#x2013;5.4 to &#x2013;2.1 log<sub>10</sub> (copies/16S rRNA) (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1A</bold>
</xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>The abundance of target genes. <bold>(A)</bold> the relative abundance (log<sub>10</sub> (copies/16S rRNA)) of target genes in all the samples at different exposure time; <bold>(B)</bold> the relative abundance (ARGs copies/16S rRNA copies) of ARGs at 24h; <bold>(C)</bold> The normalized values (NVs) of ARGs during exposure experiment in all the treatments. The NV &gt;1 indicated the abundances of ARGs were enhanced when exposed to NPs or metal ions, at certain time; the NV &lt;1 indicated the abundances of ARGs were reduced when exposed to NPs or metal ions, at certain time. The labels of Cu, ZnO and Cu+ZnO represent the groups with Cu NPs, ZnO NPs and Cu+ZnO NPs, respectively.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-09-1086606-g001.tif"/>
</fig>
<p>When exposed to Cu NPs alone, the abundances of the six ARGs all showed a decreasing trend relative to the control (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1A</bold>
</xref>). Notably, the normalized values (NVs) (the abundance value of the ARGs at each exposure time normalized to the corresponding blank control) were introduced to reduce the influence caused by self-variations in the microbes over time (<xref ref-type="bibr" rid="B9">Chen et&#xa0;al., 2019</xref>). During the exposure of Cu NPs, the NVs of six ARGs were almost lower than 1, and the NVs of most ARGs showed a conspicuous trend of first decreasing (within 6&#xa0;h), then increasing, and then decreasing with the exposure time, except for <italic>aac(6&#x2019;)</italic>-Ib, which showed a trend of an initial decrease (within 12&#xa0;h) followed by an increase during the exposure (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1C</bold>
</xref>). A similar decreasing trend of ARGs was also found in single-ZnO NP exposure (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1A</bold>
</xref>). The NVs of six ARGs ranged from 0.01 to 1.56, and the NVs of most ARGs also decreased first (within 6&#xa0;h), then increased and then decreased with the exposure time (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1C</bold>
</xref>). Notably, only the NVs (at exposure times of 1, 3, and 12&#xa0;h) of <italic>sul</italic>1 were greater than 1, and the abundance of <italic>sul</italic>1 did not show significant variations compared to the control at the end of exposure (24&#xa0;h) (<italic>P &gt;</italic> 0.05) (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1C</bold>
</xref>). In contrast, when exposed to Cu and ZnO NPs simultaneously, the abundance of most ARGs showed a trend of first decreasing and then increasing compared to the blank (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1A</bold>
</xref>). With respect to the variations in ARGs present in single Cu NPs and ZnO NP exposure, most ARGs (except <italic>erm</italic>B) were enriched with the NVs in the range of 1.09 to 3.66 at the end of the exposure (24&#xa0;h) under the coexistence of Cu and ZnO NPs (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1B</bold>
</xref>). Moreover, the relative abundance (ARGs copies/16S rRNA copies) of total ARGs at 24&#xa0;h in the group of Cu and ZnO NPs was significantly higher than those with single Cu NPs or ZnO NP exposure (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1B</bold>
</xref>). Relative to the single NP exposure, a significant decrease (<italic>P &lt;</italic> 0.05) in biomass (16S rRNA gene copies) was observed in the Cu and ZnO NP co-exposure group (<xref ref-type="supplementary-material" rid="SM1">
<bold>Figure S3</bold>
</xref>).</p>
</sec>
<sec id="s3_2">
<title>Effects of released Cu<sup>2+</sup> and Zn<sup>2+</sup> from Cu and ZnO NPs on ARGs variation</title>
<p>As shown in <xref ref-type="supplementary-material" rid="SM1">
<bold>Figure S4</bold>
</xref>, the concentrations of released Cu<sup>2+</sup> and Zn<sup>2+</sup> from Cu and ZnO NPs ranged from 6 to 12 &#x3bc;g/L and 25 to 130 &#x3bc;g/L respectively. According to the exposure experiments with single Cu<sup>2+</sup> and Zn<sup>2+</sup> at the concentration of 12 &#x3bc;g/L and 130 &#x3bc;g/L, respectively, and with Cu<sup>2+</sup> and Zn<sup>2+</sup> co-exposure at the concentration of 6 &#x3bc;g/L and 65 &#x3bc;g/L, respectively, the shifts of ARG abundances with the presence of Cu<sup>2+</sup>, Zn<sup>2+</sup>, and both ions are shown in <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1A</bold>
</xref>. With respect to Cu<sup>2+</sup> exposure alone, the abundances of most ARGs showed a trend of first increasing (within 1&#xa0;h) and then decreasing compared to the blank group. In the Zn<sup>2+</sup> exposure group, the abundances of <italic>sul</italic>2, <italic>tet</italic>A, and <italic>tet</italic>W showed a decreasing trend compared to the blank group, while the other three ARGs (<italic>sul</italic>1, <italic>aac(6&#x2019;)</italic>-Ib, and <italic>erm</italic>B) showed an increasing trend. Besides, in the Cu<sup>2+</sup> and Zn<sup>2+</sup> co-exposure group, the trend of ARG variations was similar to that of the Zn<sup>2+</sup>. Among the three ion exposure groups, the variations in the NVs of individual ARGs fluctuated over the 24&#xa0;h exposure period in all the samples, of which the NVs of three ARGs (<italic>sul</italic>1, <italic>aac(6&#x2019;)</italic>-Ib, and <italic>erm</italic>B) at different exposure times were almost greater than 1 (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1C</bold>
</xref>). When it comes to the end of the exposure (24&#xa0;h), Cu<sup>2+</sup> was observed to cause attenuations (NVs &lt;1) of more ARGs (<italic>sul</italic>1, <italic>sul</italic>2, <italic>tet</italic>A, <italic>tet</italic>W, and <italic>erm</italic>B) than Zn <sup>2+</sup> (<italic>sul</italic>2, <italic>tet</italic>A, and <italic>tet</italic>W) and Cu<sup>2+</sup> and Zn<sup>2+</sup> co-exposure (<italic>sul</italic>2, <italic>tet</italic>A, and <italic>tet</italic>W) did (<xref ref-type="fig" rid="f1">
<bold>Figures&#xa0;1B, C</bold>
</xref>).</p>
</sec>
<sec id="s3_3">
<title>Response of target MRGs and MGEs to single and combined stress of Cu and ZnO NPs</title>
<p>Compared with the blank group, the abundance of these three MRGs showed a downward trend in most treatment groups (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1A</bold>
</xref>) with NVs of less than 1 at the end of the exposure (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1C</bold>
</xref>). It is worth noting that under the combined exposure of Cu and ZnO NPs, the NVs of <italic>znt</italic>A and <italic>znt</italic>B were 1.4 and 1.81 at 24&#xa0;h, respectively (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1C</bold>
</xref>) and they were comparable to the variations in most ARGs (except for <italic>erm</italic>B), of which the NVs were in the range of 1.09 to 3.66. Moreover, the correlation analysis showed that most ARGs showed significant positive correlations with three MRGs (<italic>P &lt;</italic> 0.01) (<xref ref-type="supplementary-material" rid="SM1">
<bold>Table S4</bold>
</xref>). In contrast, Cu<sup>2+</sup> and Zn<sup>2+</sup> concentrations released from Cu and ZnO NPs in the estuarine water samples showed a negative correlation with some ARGs and MRGs, including <italic>sul</italic>2, <italic>aac(6&#x2019;)</italic>-Ib, <italic>erm</italic>B, and <italic>cop</italic>A.</p>
<p>In terms of the variations in two MGEs, compared with the blank group, the abundances of Tn<italic>916/1545</italic> and <italic>int</italic>I1 also showed a decreasing trend (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1C</bold>
</xref>), and most of the NVs were less than 1 (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1C</bold>
</xref>). In particular, under the co-exposure to Cu and ZnO NPs, the <italic>int</italic>I1was slightly enriched at the end of exposure, with an NV of 1.21 (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1C</bold>
</xref>). Moreover, the correlation coefficients between ARGs and MGEs showed that MGEs were significantly positively correlated with most ARGs (<italic>P</italic> &lt; 0.05) (<xref ref-type="supplementary-material" rid="SM1">
<bold>Table S4</bold>
</xref>).</p>
</sec>
<sec id="s3_4">
<title>Changes in microbial community under exposure of individual and combined Cu and ZnO NPs</title>
<p>In the current study, variations in the microbial community in estuarine waters were analyzed through Illumina MiSeq sequencing, and the results suggested that the presence of Cu NPs and ZnO NPs individually or together affected the diversity and richness of microbial communities (<xref ref-type="supplementary-material" rid="SM1">
<bold>Table S5</bold>
</xref>). Additionally, the microbial communities in these samples were scattered into two groups in the axes of PC1 (<xref ref-type="supplementary-material" rid="SM1">
<bold>Figure S5</bold>
</xref>) from the PCA analysis, denoted as Group A and Group B. In Group A there were three samples, including single Cu NPs, ZnO NPs, and Cu<sup>2+</sup> exposure that were not separated from the control group, whereas samples in Group B were closely clustered and separated from the control group, including Cu and ZnO NP co-exposure, Cu<sup>2+</sup>and Zn<sup>2+</sup> co-exposure, and Zn<sup>2+</sup> exposure.</p>
<p>Overall, <italic>Proteobacteria</italic>, <italic>Cyanobacteria</italic>, <italic>Actinobacteria</italic>, and <italic>Bacteroidetes</italic> were the most abundant phyla, roughly accounting for 81.5% to 94.3% of the total 24 identified phyla (<xref ref-type="supplementary-material" rid="SM1">
<bold>Figure S6</bold>
</xref>). In order to investigate the variation characteries of microbes during stimuli exposure in this study, we introduced the absolute abundance metric as discussed in our previous study (<xref ref-type="bibr" rid="B9">Chen et&#xa0;al., 2019</xref>). The relative abundances of <italic>Proteobacteria</italic> increased over time (<xref ref-type="supplementary-material" rid="SM1">
<bold>Figure S6</bold>
</xref>), but the NV values decreased over time in all the treatments except for the Cu NP sole exposure (<xref ref-type="supplementary-material" rid="SM1">
<bold>Table S6</bold>
</xref>). The presence of NPs likely caused an increase in the absolute abundance of <italic>Bacteroidetes</italic> (<xref ref-type="supplementary-material" rid="SM1">
<bold>Table S6</bold>
</xref>). For <italic>Cyanobacteria</italic>, the relative abundances decreased over time (<xref ref-type="supplementary-material" rid="SM1">
<bold>Figure S6</bold>
</xref>), but <italic>Cyanobacteria</italic> was more abundant in the samples in Group A than in those of the corresponding blanks (NVs &gt;1) (<xref ref-type="supplementary-material" rid="SM1">
<bold>Table S6</bold>
</xref>). The relative abundance of <italic>Actinobacteria</italic> in the samples in Group B showed an increasing trend over time, and the NVs were 1.19- to 4.75-fold higher than those in the corresponding blank groups (<xref ref-type="supplementary-material" rid="SM1">
<bold>Table S6</bold>
</xref>).</p>
<p>In order to further analyze the response of bacterial communities to M-NPs, the relative abundances of the top ten abundant genera in each treatment were selected and summarized in the heatmap. As shown in <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>, 27 genera were analyzed, and they were clearly divided into the above-mentioned Groups A and B. Compared with the control group, the abundance of the 12 genera (marked in red) in Group B showed an increasing trend, and most of those 12 genera belonged to the <italic>Proteobacteria</italic> and <italic>Actinobacteria</italic> phyla (<xref ref-type="supplementary-material" rid="SM1">
<bold>Table S7</bold>
</xref>). In this study, the relative abundance of <italic>Nocardioides</italic> in Group B increased significantly relative to those in the corresponding controls. In addition, the genera <italic>Panacagrimonas</italic> and <italic>Nevskia</italic>, belonging to the <italic>Proteobacteria</italic> phylum, showed an increasing trend in relative abundance that was similar to that of <italic>Nocardioides</italic> (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>). In terms of the absolute abundances of <italic>Nevskia</italic>, <italic>Panacagrimonas</italic>, and <italic>Nocardioides</italic> in the samples of Group B, they also showed an increasing trend (<xref ref-type="supplementary-material" rid="SM1">
<bold>Figure S7</bold>
</xref>) with NVs ranging from 1.13 to 1.28 at the end of exposure (<xref ref-type="supplementary-material" rid="SM1">
<bold>Table S8</bold>
</xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Heatmap of relative abundance of top 10 genera (values were log<sub>10</sub>- transformed), presenting the evolution of the microbial community in all the samples at different exposure time. The redder, the higher the values, and the bluer, the lower the values. The genera marked in red are the 12 genera with higher abundances comparing to the corresponding controls in Group B.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-09-1086606-g002.tif"/>
</fig>
</sec>
<sec id="s3_5">
<title>Factors influencing the variations in ARGs in the presence of individual and combined Cu and ZnO NPs</title>
<p>The RDA analysis showed that the selected variables including metal ions, MRGs, MGEs, and the microbial community (relative abundance &gt;1%) accounted for 74% of the total ARG variables (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>). To determine the key explanatory factor and to separate the contributions of selected variables (e.g., the microbial community, MGEs, MRGs, and metal ions), a partial RDA was done. In general, the microbial community contributed the most (43.5%) to the ARG profiles, followed by dissolved metal ions (25.7%), MRGs, (19.4%), and MGEs (4.4%). Considering the microbial community, among the 11 phyla, <italic>Actinobacteria</italic> (Pr, 0.039) and <italic>Acidobacteria</italic> (Pr, 0.009) were significantly related to <italic>sul</italic>1, <italic>erm</italic>B, and <italic>aac(6&#x2019;)</italic>-Ib. As shown in <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>, <italic>intI</italic>1 (Pr, 0.001), <italic>znt</italic>A (Pr, 0.002), and <italic>znt</italic>B (Pr, 0.001) are significantly correlated with ARGs (<italic>sul</italic>2, <italic>tet</italic>A, and <italic>tet</italic>W). Regarding the network analysis, 90 potential host bacteria were identified for ARGs (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>). The <italic>sul</italic>1 had the highest diversity of host bacteria, with 80 potential hosts, of which 57 bacterial genera belonged to <italic>Proteobacteria</italic>. Among the 80 potential hosts, 9 belonged to the top 10 bacterial genera summarized in <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>. For example, <italic>Panacagrimonas</italic> and <italic>Mycobacterium</italic> were identified as potential hosts of <italic>sul</italic>1. Another SAs-ARG, <italic>sul</italic>2, has three potential hosts. In particular, <italic>Arenimonas</italic>, one of the dominant genera in all the samples, was identified as a potential host for <italic>sul</italic>2. In addition, <italic>Chlorella</italic> sp. <italic>CC-Bw-9</italic> was identified as a potential host for <italic>tet</italic>W.</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>RDA analysis of microbial community (phylum), MGEs, MRGs, Cu<sup>2+</sup>, Zn<sup>2+</sup> and ARG abundances in all the samples.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-09-1086606-g003.tif"/>
</fig>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Network analysis based on Spearman correlation analysis among ARGs, MGEs, MRGs and their potential host bacteria in all the samples. The connection between two nodes represents a significant positive correlation (<italic>P</italic> &lt; 0.05), the red color means positive correlation and green color means negative correlation.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-09-1086606-g004.tif"/>
</fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>Previous studies posited that the M-NPs were involved in the shaping of ARG profiles (<xref ref-type="bibr" rid="B9">Chen et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B44">Su et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B40">Shi et&#xa0;al., 2019</xref>), but effect of M-NPs co-exposure on ARG profiles in natural environment is still lacking. In this study, effect of Cu and ZnO NPs co-exposure on ARG profiles and microbial community in the Yangtze River Estuary was investigated. Considering our previous study, the 22 ARGs corresponding to five antibiotic classes were commonly found in the waters collected from the Yangtze River Estuary (<xref ref-type="bibr" rid="B16">Guo et&#xa0;al., 2018b</xref>). Therefore, those 22 ARGs were analyzed, and the results showed that only six ARGs (<italic>sul</italic>1, <italic>sul</italic>2, <italic>tet</italic>A, <italic>tet</italic>W, <italic>erm</italic>B, and <italic>aac(6&#x2019;)</italic>-Ib) were abundant in the samples; consequently, they were selected for our further study.</p>
<p>In the present study, the presence of Cu NPs reduced the ARGs. Previous study also reported that Cu NPs can inhibit ARG (<italic>sul</italic>1 and <italic>aad</italic>A1) dissemination in leachate (<xref ref-type="bibr" rid="B44">Su et&#xa0;al., 2019</xref>). In addition, our results suggested that the existence of ZnO NPs (at a concentration of 0.5 mg/L) caused a decrease in the ARG abundance. In previous publications, ZnO NPs with tested concentrations in a wide magnitude ranging from 0.2 mg/L (an environmentally relevant concentration) to 500 mg/L (a relatively high concentration) were observed to have an increased ARG abundance in natural waters, sludge, and landfill leachate (<xref ref-type="bibr" rid="B9">Chen et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B19">Huang et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B40">Shi et&#xa0;al., 2019</xref>), and ZnO NPs could facilitate dissemination of ARGs <italic>via</italic> enhancing the conjugative frequencies of plasmid RP4 (<xref ref-type="bibr" rid="B49">Wang et&#xa0;al., 2018</xref>). This difference may have been caused by the physicochemical differences among these environmental matrices that led to a diverse microbial community which is the major host and transmitter of ARGs and the different fates of NPs (aggregation, bioavailability, or toxicity), which would influence their effects toward microbes. Additionally, the density of donors and recipients directly influenced the formation of new transconjugants (<xref ref-type="bibr" rid="B42">Sorensen et&#xa0;al., 2005</xref>). The bacteria density in the present study was lower (by at least two orders of magnitude) than those in the previous studies, which may be resulted in the lower HGT frequencies of ARGs during the NP exposure. Nevertheless, a similar observation was found by <xref ref-type="bibr" rid="B44">Su et&#xa0;al. (2019)</xref>, which implied that the ZnO NP (5, 50, and 100 mg/L) exposure prompted the rate of ARG attenuation and reduced the abundance of leachate microbiota. Considering these facts, there were multiple possible mechanisms involved in the ZnO NPs affecting ARG dynamics in various environments. Therefore, more studies are required to better understand the ARG dissemination risk in various environments under the stress of M-NP exposure.</p>
<p>Notably, the mixture of Cu and ZnO NPs was likely to induce the enrichment of ARGs at the exact concentration of 0.5 mg/L of NP exposure. Also, it has been reported that M-NPs, such as CuO NPs, ZnO NPs, nano-Al<sub>2</sub>O<sub>3</sub>, and nano-TiO<sub>2</sub> exposures can enhance the conjugative transfer of ARGs, which is mainly contributed to the oxidative stresses caused by NPs or the released ions, with cell membrane permeability increasing, SOS response activation, and genes involved in conjugative transfer up-regulation (<xref ref-type="bibr" rid="B38">Qiu et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B37">Qiu et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B49">Wang et&#xa0;al., 2018</xref>). The biomass (16S rRNA gene copies) in the Cu and ZnO NP co-exposure group was significantly lower than single NP exposure (<xref ref-type="supplementary-material" rid="SM1">
<bold>Figure S3</bold>
</xref>), which could be attributed to the enhanced toxicity in the present study. Therefore, the enhanced toxicity of the Cu and ZnO NP co-exposure may have induced more oxidative stress on the microbes and stimulated the ARG transfer in the microbial community, which resulted in the ARG enrichment under the co-exposure of Cu and ZnO NPs. Furthermore, the natural aquatic environment is complex, involving multiple concentration ratios of Cu and ZnO NPs and various environmental matrices and bacterial compositions. Therefore, to determine the combined effects of multiple NPs on ARGs and the underlying mechanism in the natural environment, more studies concerning controlled single and multiple environmental factors are required.</p>
<p>In order to assess whether the main cause of ARG variation was the dissolved metals or the NPs, the concentrations of Cu<sup>2+</sup> and Zn<sup>2+</sup> released from Cu and ZnO NPs were determined in estuarine waters, and the effects of these two metal ions on ARGs abundances were investigated. The results showed that dissolved Cu<sup>2+</sup> caused most ARG attenuations followed by Zn<sup>2+</sup> and Cu<sup>2+</sup> and Zn<sup>2+</sup> co-exposure (<xref ref-type="fig" rid="f1">
<bold>Figures&#xa0;1B, C</bold>
</xref>). Previous study also observed that under the exposure of the same doses (5, 50, and 100 mg/L) of Cu or ZnO NPs, the corresponding dissolved Cu<sup>2+</sup> reduced the ARG abundances to a greater extent than Zn<sup>2+</sup> did (<xref ref-type="bibr" rid="B44">Su et&#xa0;al., 2019</xref>). Taken together, due to the different trends between the groups with the exposure of metal NPs and their corresponding metal ions, the dissolved metal ions from M-NPs may not be the dominant factor for ARG profiles in this study.</p>
<p>It has been reported that genes involved in heavy metal and antibiotic resistance are likely to be located on the same MGEs, which could promote the HGT of ARGs between microbial communities (<xref ref-type="bibr" rid="B52">Zhang et&#xa0;al., 2018a</xref>; <xref ref-type="bibr" rid="B13">Ding et&#xa0;al., 2019</xref>). Correspondingly, changes in MRGs and MGEs may indicate a variation in the ARGs. Therefore, we investigated three MRGs corresponding to Cu and Zn (<xref ref-type="bibr" rid="B16">Guo et&#xa0;al., 2018b</xref>; <xref ref-type="bibr" rid="B2">Adekanmbi and Adeleke, 2020</xref>) and two MGEs which were generally occurred in the estuarine environment (<xref ref-type="bibr" rid="B9">Chen et&#xa0;al., 2019</xref>). The co-selection of ARGs and MRGs may have occurred and MGEs may participate in the dissemination of these ARGs in the estuarine water in the presence of Cu and ZnO NPs individually or together in the present study. Similarly, the co-selection of heavy metal and ARGs has been commonly reported in various environments such as soil (<xref ref-type="bibr" rid="B56">Zhao et&#xa0;al., 2019</xref>), water (<xref ref-type="bibr" rid="B52">Zhang et&#xa0;al., 2018a</xref>) and gut microbiota (<xref ref-type="bibr" rid="B13">Ding et&#xa0;al., 2019</xref>).</p>
<p>Changes in the composition of the microbial community are closely related to the variations in the abundance of ARGs, MRGs, and MGEs (<xref ref-type="bibr" rid="B16">Guo et&#xa0;al., 2018b</xref>; <xref ref-type="bibr" rid="B9">Chen et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B40">Shi et&#xa0;al., 2019</xref>). The variations in the microbial community under the co-exposure of Cu and ZnO NPs were mainly attributed to the metal ion dissolution and that the Zn<sup>2+</sup> contributed by the ZnO NPs had more significant effects than Cu<sup>2+</sup> did. <italic>Proteobacteria</italic>, one of the dominant bacterial phyla, showed a decreasing trend in most treatment (<xref ref-type="supplementary-material" rid="SM1">
<bold>Table S6</bold>
</xref>). Likewise, previous studies have reported that abundance of <italic>Proteobacteria</italic> decreased under stress from the M-NPs (e.g., ZnO and Fe<sup>0</sup> NP) in OCO reactor and landfill leachate (<xref ref-type="bibr" rid="B26">Liu et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B40">Shi et&#xa0;al., 2019</xref>). The trend of <italic>Actinobacteria</italic> changes was similar to ARGs changes, such as <italic>sul</italic>1, <italic>aac(6&#x2019;)</italic>-Ib, and <italic>erm</italic>B, which implies that <italic>Actinobacteria</italic> may have been responsible for the increasing trend of ARG in the samples. These findings were also consistent with those of our previous study, which indicated that <italic>Actinobacteria</italic> are important hosts for carrying and disseminating ARGs in the Yangtze River Estuary (<xref ref-type="bibr" rid="B9">Chen et&#xa0;al., 2019</xref>). As for the response of top ten abundant genera in each treatment, most genera were found to belong to the <italic>Proteobacteria</italic> and <italic>Actinobacteria</italic> phyla (<xref ref-type="supplementary-material" rid="SM1">
<bold>Table S7</bold>
</xref>). These two bacterial phyla were considered to be important hosts of ARGs and participate in the spread of ARGs (<xref ref-type="bibr" rid="B53">Zhang et&#xa0;al., 2018b</xref>). For example, the <italic>Nocardioides</italic> genus, which belongs to the <italic>Actinobacteria</italic> phylum, has been identified as an important host of ARGs (e.g., <italic>sul</italic>1, <italic>tet</italic>A, <italic>tet</italic>W, <italic>erm</italic>B) and MGEs (<italic>int</italic>I1) in our previous studies (<xref ref-type="bibr" rid="B16">Guo et&#xa0;al., 2018b</xref>; <xref ref-type="bibr" rid="B9">Chen et&#xa0;al., 2019</xref>). <italic>Nevskia</italic> belonging to the <italic>Proteobacteria</italic> phylum was resistant to trimethoprim (<xref ref-type="bibr" rid="B27">Low et&#xa0;al., 2016</xref>). In this study, the abundance of Nocardioides, <italic>Nevskia</italic>, and <italic>Panacagrimonas</italic> (belonging to <italic>Proteobacteria</italic> phylum) showed an increasing trend in the samples of Group B, which suggests that <italic>these genera</italic> may be involved in the enrichment of ARGs in samples in Group B.</p>
<p>According to the RDA (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>) and partial RDA analysis, the microbial community was found to be the key contributor to the variance in ARG profiles, and changes in the abundance of <italic>sul</italic>1, <italic>erm</italic>B, and <italic>aac(6&#x2019;)</italic>-Ib are likely to be related to the microbes classified into <italic>Actinobacteria</italic> and <italic>Acidobacteria</italic>. <xref ref-type="bibr" rid="B50">Xu et&#xa0;al. (2020)</xref> reported that most chosen ARG numbers (e.g., <italic>sul</italic>1, <italic>sul</italic>2, <italic>tet</italic>A, <italic>erm</italic>B) were correlated to <italic>Acidobacteria</italic> in a drinking water system. The dissemination of ARGs through HGT and co-selection commonly exists in the environment (<xref ref-type="bibr" rid="B5">Bengtsson-Palme et&#xa0;al., 2018</xref>). In this study, <italic>sul</italic>2, <italic>tet</italic>A, and <italic>tet</italic>W are significantly correlated with <italic>intI</italic>1, <italic>znt</italic>A, and <italic>znt</italic>B, which indicates that the shifts of these three ARGs may be related to <italic>int</italic>I1, <italic>znt</italic>A, and <italic>znt</italic>B, which were involved in the HGT of ARGs and co-selected by metals. Accordingly, whether Cu NPs or ZnO NPs were exposed alone or together, the variance in the ARG profiles was mainly affected by the abundance of potential host bacteria and the HGT of ARG among microbial communities in estuarine water (<xref ref-type="bibr" rid="B9">Chen et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B40">Shi et&#xa0;al., 2019</xref>). In terms of the potential host bacteria for ARGs (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>), most bacterial genera belong to Proteobacteria <italic>were</italic> identified for <italic>sul</italic>1, which indicates that the changes in the abundance of <italic>Proteobacteria</italic> may be responsible for <italic>sul</italic>1. The result was consistent with the conclusion of a previous study, which reported that <italic>Proteobacteria</italic> was significantly correlated to SAs-ARGs in a large aquaculture pond (<xref ref-type="bibr" rid="B39">Shen et&#xa0;al., 2020</xref>). As other hosts for <italic>sul</italic>1, the abundance of <italic>Panacagrimonas</italic> and <italic>Mycobacterium</italic> in the samples in Group B showed an increasing trend, which were likely corresponded to the increasing of <italic>sul</italic>1 in Group B. The results indicate that <italic>Panacagrimonas</italic> and <italic>Mycobacterium</italic> in the estuary water may be involved in the regulation of the <italic>sul</italic>1 variation. In addition, <italic>Mycobacterium</italic> was found to be significantly related to a variety of ARGs (<italic>sul</italic>1, <italic>sul</italic>2, <italic>erm</italic>B) in a pig farm (<xref ref-type="bibr" rid="B18">He et&#xa0;al., 2019</xref>). Moreover, <italic>Haliangium</italic>, one kind of moderately halotolerant bacterium able to survive extreme conditions, was found to be related to <italic>sul</italic>1, resulting in a high risk of ARG dissemination. It is well known that <italic>Escherichia coli</italic> is the most common enteric pathogen in our daily life, and antibiotic resistance in <italic>E. coli</italic> is of particular concern (<xref ref-type="bibr" rid="B2">Adekanmbi and Adeleke, 2020</xref>). One previous study has reported that multi-resistant <italic>E. coli</italic> is widespread in tropical estuaries and India, and more than 95% of the isolated strains are resistant to more than three antibiotics (<xref ref-type="bibr" rid="B8">Chandran et&#xa0;al., 2008</xref>). In this study, it was found that <italic>E. coli</italic> was significantly related to <italic>sul</italic>1. Therefore, the presence of such pathogenic bacteria in natural waters will enhance the direct or indirect risks of human infection. The abundance of <italic>Arenimonas</italic> in the samples in Group A showed a decreasing trend over time, whereas the abundance of <italic>Arenimonas</italic> showed a trend of first decline and then arise, in the samples in Group B, which implies that <italic>Arenimonas</italic> may be related to the variations in <italic>sul</italic>2 during the NP exposure. <italic>Cyanobacteria</italic> was demonstrated to act as a significant reservoir for diverse ARGs (e.g., <italic>tet</italic>A, <italic>tet</italic>W) dissemination in aquatic environments (<xref ref-type="bibr" rid="B47">Wang et&#xa0;al., 2020</xref>). Consistently, <italic>Chlorella</italic> sp. <italic>CC-Bw-9</italic> belonging to <italic>Cyanobacteria</italic> was identified as a potential host for <italic>tet</italic>W.</p>
</sec>
<sec id="s5" sec-type="conclusions">
<title>Conclusions</title>
<p>It is unclear the concentrations of Cu and ZnO NPs that are present in the estuarine environment, however, the production of NPs is exponentially increasing, making possible higher inputs into the aquatic environments in the future. In this study, the effects of Cu and ZnO NPs exposure individually or combined under environmentally relevant concentrations on the changes in ARG abundance and microbial composition in estuarine waters were investigated. It was found that under the exact doses (0.5 mg/L) of NP exposure, Cu NPs or ZnO NPs exposed alone mainly resulted in the attenuation of target ARGs in the estuarine water, while a mixture of Cu NPs and ZnO NPs was likely to induce the enrichment of ARGs. Further analysis indicated that changes in the microbial community were the dominant factors driving ARG propagation, followed by dissolved metal ions, MRGs, and MGEs. Network analysis showed that most potential hosts belonged to the <italic>Proteobacteria</italic> and <italic>Actinobacteria</italic> phyla, such as <italic>Mycobacterium</italic> and <italic>E. coli</italic>., which are likely to be pathogenic to humans and animals. Therefore, in contrast to individual Cu- and ZnO-NPs, combined Cu and ZnO NPs seemed to induce the increase of ARGs, which would increase the risk of ARG transmission into different environmental niches including normal human intestinal flora.</p>
</sec>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found below: NCBI Sequence Read Archive, SRP409221.</p>
</sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>Y-RC: Methodology, validation, formal analysis, investigation, data curation, writing - original draft, writing - review &amp; editing, visualization. R-RS: Investigation. X-LS: Investigation. X-PG: Formal analysis, investigation, data curation, writing - review &amp; editing, supervision, project administration, funding acquisition. YY: Writing - review &amp; editing, supervision. All authors contributed to the article and approved the submitted version.</p>
</sec>
</body>
<back>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>This study was funded by the National Natural Science Foundation of China (42107384, 42125102). Additional funding for this work was provided by the China Postdoctoral Science Foundation (2019M661426) and the Shanghai Post-doctoral Excellence Program (2019066).</p>
</sec>
<sec id="s9" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s10" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec id="s11" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fmars.2022.1086606/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fmars.2022.1086606/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="DataSheet_1.pdf" id="SM1" mimetype="application/pdf"/>
</sec>
<ref-list>
<title>References</title>
<ref id="B1">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Adam</surname> <given-names>N.</given-names>
</name>
<name>
<surname>Leroux</surname> <given-names>F.</given-names>
</name>
<name>
<surname>Knapen</surname> <given-names>D.</given-names>
</name>
<name>
<surname>Bals</surname> <given-names>S.</given-names>
</name>
<name>
<surname>Blust</surname> <given-names>R.</given-names>
</name>
</person-group> (<year>2014</year>). <article-title>The uptake of ZnO and CuO nanoparticles in the water-flea <italic>Daphnia magna</italic> under acute exposure scenarios</article-title>. <source>Environ. pollut.</source> <volume>194</volume>, <fpage>130</fpage>&#x2013;<lpage>137</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.envpol.2014.06.037</pub-id>
</citation>
</ref>
<ref id="B2">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Adekanmbi</surname> <given-names>A. O.</given-names>
</name>
<name>
<surname>Adeleke</surname> <given-names>O. J.</given-names>
</name>
</person-group> (<year>2020</year>). <article-title>Occurrence of metal and antibiotic resistant Escherichia coli harbouring zntA and copA genes in selected surface water in ibadan, south-west Nigeria</article-title>. <source>Int. J. Environ. Stud.</source> <volume>77</volume>, <fpage>876</fpage>&#x2013;<lpage>885</lpage>. doi: <pub-id pub-id-type="doi">10.1080/00207233.2020.1719804</pub-id>
</citation>
</ref>
<ref id="B3">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Amarasiri</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Sano</surname> <given-names>D.</given-names>
</name>
<name>
<surname>Suzuki</surname> <given-names>S.</given-names>
</name>
</person-group> (<year>2019</year>). <article-title>Understanding human health risks caused by antibiotic resistant bacteria (ARB) and antibiotic resistance genes (ARG) in water environments: Current knowledge and questions to be answered</article-title>. <source>Crit. Rev. Environ. Sci. Technol.</source> <volume>50</volume>, <fpage>2016</fpage>&#x2013;<lpage>2059</lpage>. doi: <pub-id pub-id-type="doi">10.1080/10643389.2019.1692611</pub-id>
</citation>
</ref>
<ref id="B4">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Barjhoux</surname> <given-names>I.</given-names>
</name>
<name>
<surname>Baudrimont</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Morin</surname> <given-names>B.</given-names>
</name>
<name>
<surname>Landi</surname> <given-names>L.</given-names>
</name>
<name>
<surname>Gonzalez</surname> <given-names>P.</given-names>
</name>
<name>
<surname>Cachot</surname> <given-names>J.</given-names>
</name>
</person-group> (<year>2012</year>). <article-title>Effects of copper and cadmium spiked-sediments on embryonic development of Japanese medaka (<italic>Oryzias latipes</italic>)</article-title>. <source>Ecotoxicol. Environ. Saf.</source> <volume>79</volume>, <fpage>272</fpage>&#x2013;<lpage>282</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.ecoenv.2012.01.011</pub-id>
</citation>
</ref>
<ref id="B5">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Bengtsson-Palme</surname> <given-names>J.</given-names>
</name>
<name>
<surname>Kristiansson</surname> <given-names>E.</given-names>
</name>
<name>
<surname>Larsson</surname> <given-names>D. G. J.</given-names>
</name>
</person-group> (<year>2018</year>). <article-title>Environmental factors influencing the development and spread of antibiotic resistance</article-title>. <source>FEMS Microbiol. Rev.</source> <volume>42</volume>, <fpage>68</fpage>&#x2013;<lpage>80</lpage>. doi: <pub-id pub-id-type="doi">10.1093/femsre/fux053</pub-id>
</citation>
</ref>
<ref id="B6">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Berglund</surname> <given-names>B.</given-names>
</name>
</person-group> (<year>2015</year>). <article-title>Environmental dissemination of antibiotic resistance genes and correlation to anthropogenic contamination with antibiotics</article-title>. <source>Infect. Ecol. Epidemiol.</source> <volume>5</volume>, <fpage>28564</fpage>. doi: <pub-id pub-id-type="doi">10.3402/iee.v5.28564</pub-id>
</citation>
</ref>
<ref id="B7">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Bundschuh</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Filser</surname> <given-names>J.</given-names>
</name>
<name>
<surname>Luderwald</surname> <given-names>S.</given-names>
</name>
<name>
<surname>McKee</surname> <given-names>M. S.</given-names>
</name>
<name>
<surname>Metreveli</surname> <given-names>G.</given-names>
</name>
<name>
<surname>Schaumann</surname> <given-names>G. E.</given-names>
</name>
<etal/>
</person-group>. (<year>2018</year>). <article-title>Nanoparticles in the environment: where do we come from, where do we go to</article-title>? <source>Environ. Sci. Eur.</source> <volume>30</volume>, <fpage>6</fpage>. doi: <pub-id pub-id-type="doi">10.1186/s12302-018-0132-6</pub-id>
</citation>
</ref>
<ref id="B8">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Chandran</surname> <given-names>A.</given-names>
</name>
<name>
<surname>Hatha</surname> <given-names>A. A. M.</given-names>
</name>
<name>
<surname>Varghese</surname> <given-names>S.</given-names>
</name>
<name>
<surname>Sheeja</surname> <given-names>K. M.</given-names>
</name>
</person-group> (<year>2008</year>). <article-title>Prevalence of multiple drug resistant <italic>Escherichia coli</italic> serotypes in a tropical estuary, India</article-title>. <source>Microbes Environ.</source> <volume>23</volume>, <fpage>153</fpage>&#x2013;<lpage>158</lpage>. doi: <pub-id pub-id-type="doi">10.1264/jsme2.23.153</pub-id>
</citation>
</ref>
<ref id="B9">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Chen</surname> <given-names>Y. R.</given-names>
</name>
<name>
<surname>Guo</surname> <given-names>X. P.</given-names>
</name>
<name>
<surname>Feng</surname> <given-names>J. N.</given-names>
</name>
<name>
<surname>Lu</surname> <given-names>D. P.</given-names>
</name>
<name>
<surname>Niu</surname> <given-names>Z. S.</given-names>
</name>
<name>
<surname>Tou</surname> <given-names>F. Y.</given-names>
</name>
<etal/>
</person-group>. (<year>2019</year>). <article-title>Impact of ZnO nanoparticles on the antibiotic resistance genes (ARGs) in estuarine water: ARG variations and their association with the microbial community</article-title>. <source>Environ. Sci. Nano</source> <volume>6</volume>, <fpage>2405</fpage>&#x2013;<lpage>2419</lpage>. doi: <pub-id pub-id-type="doi">10.1039/C9EN00338J</pub-id>
</citation>
</ref>
<ref id="B10">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Chen</surname> <given-names>Y. R.</given-names>
</name>
<name>
<surname>Guo</surname> <given-names>X. P.</given-names>
</name>
<name>
<surname>Niu</surname> <given-names>Z. S.</given-names>
</name>
<name>
<surname>Lu</surname> <given-names>D. P.</given-names>
</name>
<name>
<surname>Sun</surname> <given-names>X. L.</given-names>
</name>
<name>
<surname>Zhao</surname> <given-names>S.</given-names>
</name>
<etal/>
</person-group>. (<year>2020</year>). <article-title>Antibiotic resistance genes (ARGs) and their associated environmental factors in the Yangtze estuary, China: From inlet to outlet</article-title>. <source>Mar. pollut. Bull.</source> <volume>158</volume>, <fpage>111360</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.marpolbul.2020.111360</pub-id>
</citation>
</ref>
<ref id="B11">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Collins</surname> <given-names>D.</given-names>
</name>
<name>
<surname>Luxton</surname> <given-names>T.</given-names>
</name>
<name>
<surname>Kumar</surname> <given-names>N.</given-names>
</name>
<name>
<surname>Shah</surname> <given-names>S.</given-names>
</name>
<name>
<surname>Walker</surname> <given-names>V. K.</given-names>
</name>
<name>
<surname>Shah</surname> <given-names>V.</given-names>
</name>
</person-group> (<year>2012</year>). <article-title>Assessing the impact of copper and zinc oxide nanoparticles on soil: a field study</article-title>. <source>PloS One</source> <volume>7</volume>, <fpage>42663</fpage>. doi: <pub-id pub-id-type="doi">10.1371/journal.pone.0042663</pub-id>
</citation>
</ref>
<ref id="B12">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Czekalski</surname> <given-names>N.</given-names>
</name>
<name>
<surname>Gascon</surname> <given-names>D. E.</given-names>
</name>
<name>
<surname>Burgmann</surname> <given-names>H.</given-names>
</name>
</person-group> (<year>2014</year>). <article-title>Wastewater as a point source of antibiotic-resistance genes in the sediment of a freshwater lake</article-title>. <source>ISME J.</source> <volume>8</volume>, <fpage>1381</fpage>&#x2013;<lpage>1390</lpage>. doi: <pub-id pub-id-type="doi">10.1038/ismej.2014.8</pub-id>
</citation>
</ref>
<ref id="B13">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ding</surname> <given-names>J.</given-names>
</name>
<name>
<surname>An</surname> <given-names>X. L.</given-names>
</name>
<name>
<surname>Lassen</surname> <given-names>S. B.</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>H. T.</given-names>
</name>
<name>
<surname>Zhu</surname> <given-names>D.</given-names>
</name>
<name>
<surname>Ke</surname> <given-names>X.</given-names>
</name>
</person-group> (<year>2019</year>). <article-title>Heavy metal-induced co-selection of antibiotic resistance genes in the gut microbiota of collembolans</article-title>. <source>Sci. Total Environ.</source> <volume>683</volume>, <fpage>210</fpage>&#x2013;<lpage>215</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.scitotenv.2019.05.302</pub-id>
</citation>
</ref>
<ref id="B14">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Edgar</surname> <given-names>R. C.</given-names>
</name>
</person-group> (<year>2010</year>). <article-title>Search and clustering orders of magnitude faster than BLAST</article-title>. <source>Bioinformatics</source> <volume>26</volume>, <fpage>2460</fpage>&#x2013;<lpage>2461</lpage>.</citation>
</ref>
<ref id="B15">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ferna&#xed;ndez-Cruz</surname> <given-names>M. L.</given-names>
</name>
<name>
<surname>Lammel</surname> <given-names>T.</given-names>
</name>
<name>
<surname>Connolly</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Conde</surname> <given-names>E.</given-names>
</name>
<name>
<surname>Barrado</surname> <given-names>A. I.</given-names>
</name>
<name>
<surname>Derick</surname> <given-names>S.</given-names>
</name>
<etal/>
</person-group>. (<year>2013</year>). <article-title>Comparative cytotoxicity induced by bulk and nanoparticulated ZnO in the fish and human hepatoma cell lines PLHC-1 and hep G2</article-title>. <source>Nanotoxicology</source> <volume>7</volume>, <fpage>935</fpage>&#x2013;<lpage>952</lpage>. doi: <pub-id pub-id-type="doi">10.3109/17435390.2012.676098</pub-id>
</citation>
</ref>
<ref id="B16">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Guo</surname> <given-names>H. H.</given-names>
</name>
<name>
<surname>Gu</surname> <given-names>J.</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>X. J.</given-names>
</name>
<name>
<surname>Tuo</surname> <given-names>X. X.</given-names>
</name>
<name>
<surname>Yu</surname> <given-names>J.</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>R. R.</given-names>
</name>
</person-group> (<year>2018</year>b). <article-title>Key role of cyromazine in the distribution of antibiotic resistance genes and bacterial community variation in aerobic composting</article-title>. <source>Bioresour. Technol.</source> <volume>274</volume>, <fpage>418</fpage>&#x2013;<lpage>424</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.biortech.2018.12.005</pub-id>
</citation>
</ref>
<ref id="B17">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Guo</surname> <given-names>X. P.</given-names>
</name>
<name>
<surname>Yang</surname> <given-names>Y.</given-names>
</name>
<name>
<surname>Lu</surname> <given-names>D. P.</given-names>
</name>
<name>
<surname>Niu</surname> <given-names>Z. S.</given-names>
</name>
<name>
<surname>Feng</surname> <given-names>J. N.</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>Y. R.</given-names>
</name>
<etal/>
</person-group>. (<year>2018</year>a). <article-title>Biofilms as a sink for antibiotic resistance genes (ARGs) in the Yangtze estuary</article-title>. <source>Water Res.</source> <volume>129</volume>, <fpage>277</fpage>&#x2013;<lpage>286</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.watres.2017.11.029</pub-id>
</citation>
</ref>
<ref id="B18">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>He</surname> <given-names>L. Y.</given-names>
</name>
<name>
<surname>He</surname> <given-names>L. K.</given-names>
</name>
<name>
<surname>Liu</surname> <given-names>Y. S.</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Zhao</surname> <given-names>J. L.</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>Q. Q.</given-names>
</name>
<etal/>
</person-group>. (<year>2019</year>). <article-title>Microbial diversity and antibiotic resistome in swine farm environments</article-title>. <source>Sci. Total Environ.</source> <volume>685</volume>, <fpage>197</fpage>&#x2013;<lpage>207</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.scitotenv.2019.05.369</pub-id>
</citation>
</ref>
<ref id="B19">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Huang</surname> <given-names>H.</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>Y.</given-names>
</name>
<name>
<surname>Yang</surname> <given-names>S.</given-names>
</name>
<name>
<surname>Zheng</surname> <given-names>X.</given-names>
</name>
</person-group> (<year>2019</year>). <article-title>CuO and ZnO nanoparticles drive the propagation of antibiotic resistance genes during sludge anaerobic digestion: possible role of stimulated signal transduction</article-title>. <source>Environ. Sci. Nano</source> <volume>6</volume>, <fpage>528</fpage>&#x2013;<lpage>539</lpage>. doi: <pub-id pub-id-type="doi">10.1039/C8EN00370J</pub-id>
</citation>
</ref>
<ref id="B20">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Huang</surname> <given-names>W.</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>C.</given-names>
</name>
<name>
<surname>Duan</surname> <given-names>H.</given-names>
</name>
<name>
<surname>Bi</surname> <given-names>Y.</given-names>
</name>
<name>
<surname>Wu</surname> <given-names>D.</given-names>
</name>
<name>
<surname>Du</surname> <given-names>J.</given-names>
</name>
<etal/>
</person-group>. (<year>2018</year>). <article-title>Synergistic antifungal effect of biosynthesized silver nanoparticles combinedwith fungicides</article-title>. <source>Int. J. Agric. Biol.</source> <volume>20</volume>, <fpage>1225</fpage>&#x2013;<lpage>1229</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.17957/IJAB/15.0595</pub-id>
</citation>
</ref>
<ref id="B21">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Hua</surname> <given-names>J.</given-names>
</name>
<name>
<surname>Vijver</surname> <given-names>M. G.</given-names>
</name>
<name>
<surname>Ahmad</surname> <given-names>F.</given-names>
</name>
<name>
<surname>Richardson</surname> <given-names>M. K.</given-names>
</name>
<name>
<surname>Peijnenburg</surname> <given-names>W. J.</given-names>
</name>
</person-group> (<year>2014</year>). <article-title>Toxicity of different-sized copper nano- and submicron particles and their shed copper ions to zebrafish embryos</article-title>. <source>Environ. Toxicol. Chem.</source> <volume>33</volume>, <fpage>1774</fpage>&#x2013;<lpage>1782</lpage>. doi: <pub-id pub-id-type="doi">10.1002/etc.2615</pub-id>
</citation>
</ref>
<ref id="B22">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ji</surname> <given-names>X.</given-names>
</name>
<name>
<surname>Shen</surname> <given-names>Q.</given-names>
</name>
<name>
<surname>Liu</surname> <given-names>F.</given-names>
</name>
<name>
<surname>Ma</surname> <given-names>J.</given-names>
</name>
<name>
<surname>Xu</surname> <given-names>G.</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>Y.</given-names>
</name>
<etal/>
</person-group>. (<year>2012</year>). <article-title>Antibiotic resistance gene abundances associated with antibiotics and heavy metals in animal manures and agricultural soils adjacent to feedlots in shanghai; China</article-title>. <source>J. Hazard. Mater.</source> <volume>235-236</volume>, <fpage>178</fpage>&#x2013;<lpage>185</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.jhazmat.2012.07.040</pub-id>
</citation>
</ref>
<ref id="B23">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Keller</surname> <given-names>A. A.</given-names>
</name>
<name>
<surname>Lazareva</surname> <given-names>A.</given-names>
</name>
</person-group> (<year>2014</year>). <article-title>Predicted releases of engineered nanomaterials: from global to regional to local</article-title>. <source>Environ. Sci. Technol. Lett.</source> <volume>1</volume>, <fpage>65</fpage>&#x2013;<lpage>70</lpage>. doi: <pub-id pub-id-type="doi">10.1021/ez400106t</pub-id>
</citation>
</ref>
<ref id="B24">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lin</surname> <given-names>L.</given-names>
</name>
<name>
<surname>Yuan</surname> <given-names>K.</given-names>
</name>
<name>
<surname>Liang</surname> <given-names>X. M.</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>X.</given-names>
</name>
<name>
<surname>Zhao</surname> <given-names>Z. S.</given-names>
</name>
<name>
<surname>Yang</surname> <given-names>Y.</given-names>
</name>
<etal/>
</person-group>. (<year>2015</year>). <article-title>Occurrences and distribution of sulfonamide and tetracycline resistance genes in the Yangtze river estuary and nearby coastal area</article-title>. <source>Mar. pollut. Bull.</source> <volume>100</volume>, <fpage>304</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.marpolbul.2015.08.036</pub-id>
</citation>
</ref>
<ref id="B25">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Liu</surname> <given-names>Y.</given-names>
</name>
<name>
<surname>Baas</surname> <given-names>J.</given-names>
</name>
<name>
<surname>Peijnenburg</surname> <given-names>W. J.</given-names>
</name>
<name>
<surname>Vijver</surname> <given-names>M. G.</given-names>
</name>
</person-group> (<year>2016</year>). <article-title>Evaluating the combined toxicity of Cu and ZnO nanoparticles: utility of the concept of additivity and a nested experimental design</article-title>. <source>Environ. Sci. Technol.</source> <volume>50</volume>, <fpage>5328</fpage>&#x2013;<lpage>5337</lpage>. doi: <pub-id pub-id-type="doi">10.1021/acs.est.6b00614</pub-id>
</citation>
</ref>
<ref id="B26">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Liu</surname> <given-names>Z.</given-names>
</name>
<name>
<surname>Zhou</surname> <given-names>H.</given-names>
</name>
<name>
<surname>Liu</surname> <given-names>J.</given-names>
</name>
<name>
<surname>Huang</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Yin</surname> <given-names>X.</given-names>
</name>
<name>
<surname>Liu</surname> <given-names>Z.</given-names>
</name>
<etal/>
</person-group>. (<year>2018</year>). <article-title>Evaluation of performance and microbial community successional patterns in an integrated OCO reactor under ZnO nanoparticle stress</article-title>. <source>RSC Adv.</source> <volume>8</volume>, <fpage>26928</fpage>&#x2013;<lpage>26933</lpage>. doi: <pub-id pub-id-type="doi">10.1039/C8RA05057K</pub-id>
</citation>
</ref>
<ref id="B27">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Low</surname> <given-names>A.</given-names>
</name>
<name>
<surname>Ng</surname> <given-names>C.</given-names>
</name>
<name>
<surname>He</surname> <given-names>J. Z.</given-names>
</name>
</person-group> (<year>2016</year>). <article-title>Identification of antibiotic resistant bacteria community and a GeoChip based study of resistome in urban watersheds</article-title>. <source>Water Res.</source> <volume>106</volume>, <fpage>330</fpage>&#x2013;<lpage>338</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.watres.2016.09.032</pub-id>
</citation>
</ref>
<ref id="B28">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lu</surname> <given-names>J.</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>Y.</given-names>
</name>
<name>
<surname>Jin</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Yuan</surname> <given-names>Z.</given-names>
</name>
<name>
<surname>Bond</surname> <given-names>P.</given-names>
</name>
<name>
<surname>Guo</surname> <given-names>J.</given-names>
</name>
</person-group> (<year>2020</year>). <article-title>Both silver ions and silver nanoparticles facilitate the horizontal transfer of plasmid-mediated antibiotic resistance genes</article-title>. <source>Water Res.</source> <volume>169</volume>, <fpage>115229</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.watres.2019.115229</pub-id>
</citation>
</ref>
<ref id="B29">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>MacLean</surname> <given-names>R. C.</given-names>
</name>
<name>
<surname>San Millan</surname> <given-names>A.</given-names>
</name>
</person-group> (<year>2019</year>). <article-title>The evolution of antibiotic resistance</article-title>. <source>Science</source> <volume>365</volume>, <fpage>1082</fpage>&#x2013;<lpage>1083</lpage>. doi: <pub-id pub-id-type="doi">10.1126/science.aax3879</pub-id>
</citation>
</ref>
<ref id="B30">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Malandrakis</surname> <given-names>A. A.</given-names>
</name>
<name>
<surname>Kavroulakis</surname> <given-names>N.</given-names>
</name>
<name>
<surname>Chrysikopoulos</surname> <given-names>C. V.</given-names>
</name>
</person-group> (<year>2020</year>). <article-title>Synergy between Cu-NPs and fungicides against botrytis cinerea</article-title>. <source>Sci. Total. Environ.</source> <volume>703</volume>, <fpage>135557</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.scitotenv.2019.135557</pub-id>
</citation>
</ref>
<ref id="B31">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ma</surname> <given-names>Y.</given-names>
</name>
<name>
<surname>Metch</surname> <given-names>J. W.</given-names>
</name>
<name>
<surname>Yang</surname> <given-names>Y.</given-names>
</name>
<name>
<surname>Pruden</surname> <given-names>A.</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>T.</given-names>
</name>
</person-group> (<year>2016</year>). <article-title>Shift in antibiotic resistance gene profiles associated with nanosilver during wastewater treatment</article-title>. <source>FEMS Microbiol. Ecol.</source> <volume>92</volume>, <fpage>8</fpage>. doi: <pub-id pub-id-type="doi">10.1093/femsec/fiw022</pub-id>
</citation>
</ref>
<ref id="B32">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Metch</surname> <given-names>J. W.</given-names>
</name>
<name>
<surname>Burrows</surname> <given-names>N. D.</given-names>
</name>
<name>
<surname>Murphy</surname> <given-names>C. J.</given-names>
</name>
<name>
<surname>Pruden</surname> <given-names>A.</given-names>
</name>
<name>
<surname>Vikesland</surname> <given-names>P. J.</given-names>
</name>
</person-group> (<year>2018</year>). <article-title>Metagenomic analysis of microbial communities yields insight into impacts of nanoparticle design</article-title>. <source>Nat. Nanotechnol.</source> <volume>13</volume>, <fpage>253</fpage>&#x2013;<lpage>259</lpage>. doi: <pub-id pub-id-type="doi">10.1038/s41565-017-0029-3</pub-id>
</citation>
</ref>
<ref id="B33">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Mills</surname> <given-names>M. C.</given-names>
</name>
<name>
<surname>Lee</surname> <given-names>J.</given-names>
</name>
</person-group> (<year>2019</year>). <article-title>The threat of carbapenem-resistant bacteria in the environment: Evidence of widespread contamination of reservoirs at a global scale</article-title>. <source>Environ. pollut.</source> <volume>255</volume>, <fpage>113143</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.envpol.2019.113143</pub-id>
</citation>
</ref>
<ref id="B34">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Niu</surname> <given-names>Z. S.</given-names>
</name>
<name>
<surname>Pan</surname> <given-names>H.</given-names>
</name>
<name>
<surname>Guo</surname> <given-names>X. P.</given-names>
</name>
<name>
<surname>Lu</surname> <given-names>D. P.</given-names>
</name>
<name>
<surname>Feng</surname> <given-names>J. N.</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>Y. R.</given-names>
</name>
<etal/>
</person-group>. (<year>2018</year>). <article-title>Sulphate-reducing bacteria (SRB) in the Yangtze estuary sediments: abundance, distribution and implications for the bioavailibility of metals</article-title>. <source>Sci. Total Environ.</source> <volume>634</volume>, <fpage>296</fpage>&#x2013;<lpage>304</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.scitotenv.2018.03.345</pub-id>
</citation>
</ref>
<ref id="B35">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Piccinno</surname> <given-names>F.</given-names>
</name>
<name>
<surname>Gottschalk</surname> <given-names>F.</given-names>
</name>
<name>
<surname>Seeger</surname> <given-names>S.</given-names>
</name>
<name>
<surname>Nowack</surname> <given-names>B.</given-names>
</name>
</person-group> (<year>2012</year>). <article-title>Industrial production quantities and uses of ten engineered nanomaterials in Europe and the world</article-title>. <source>J. Nanopart. Res.</source> <volume>14</volume>, <fpage>1</fpage>&#x2013;<lpage>11</lpage>. doi: <pub-id pub-id-type="doi">10.1007/s11051-012-1109-9</pub-id>
</citation>
</ref>
<ref id="B36">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Pu</surname> <given-names>Y.</given-names>
</name>
<name>
<surname>Tang</surname> <given-names>F.</given-names>
</name>
<name>
<surname>Adam</surname> <given-names>P. M.</given-names>
</name>
<name>
<surname>Laratte</surname> <given-names>B.</given-names>
</name>
<name>
<surname>Ionescu</surname> <given-names>R. E.</given-names>
</name>
</person-group> (<year>2016</year>). <article-title>Fate and characterization factors of nanoparticles in seventeen subcontinental freshwaters: A case study on copper nanoparticles</article-title>. <source>Environ. Sci. Technol.</source> <volume>50</volume>, <fpage>9370</fpage>&#x2013;<lpage>9379</lpage>. doi: <pub-id pub-id-type="doi">10.1021/acs.est.5b06300</pub-id>
</citation>
</ref>
<ref id="B37">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Qiu</surname> <given-names>Z.</given-names>
</name>
<name>
<surname>Shen</surname> <given-names>Z.</given-names>
</name>
<name>
<surname>Qian</surname> <given-names>D.</given-names>
</name>
<name>
<surname>Jin</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Yang</surname> <given-names>D.</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>J.</given-names>
</name>
<etal/>
</person-group>. (<year>2015</year>). <article-title>Effects of nano-TiO<sub>2</sub> on antibiotic resistance transfer mediated by RP4 plasmid</article-title>. <source>Nanotoxicology</source> <volume>9</volume>, <fpage>895</fpage>&#x2013;<lpage>904</lpage>. doi: <pub-id pub-id-type="doi">10.3109/17435390.2014.991429</pub-id>
</citation>
</ref>
<ref id="B38">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Qiu</surname> <given-names>Z.</given-names>
</name>
<name>
<surname>Yu</surname> <given-names>Y.</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>Z.</given-names>
</name>
<name>
<surname>Jin</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Yang</surname> <given-names>D.</given-names>
</name>
<name>
<surname>Zhao</surname> <given-names>Z.</given-names>
</name>
<etal/>
</person-group>. (<year>2012</year>). <article-title>Nanoalumina promotes the horizontal transfer of multiresistance genes mediated by plasmids across genera</article-title>. <source>Proc. Natl. Acad. Sci. U. S. A.</source> <volume>109</volume>, <fpage>4944</fpage>&#x2013;<lpage>4949</lpage>. doi: <pub-id pub-id-type="doi">10.1073/pnas.1107254109</pub-id>
</citation>
</ref>
<ref id="B39">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Shen</surname> <given-names>X. X.</given-names>
</name>
<name>
<surname>Jin</surname> <given-names>G. Q.</given-names>
</name>
<name>
<surname>Zhao</surname> <given-names>Y. J.</given-names>
</name>
<name>
<surname>Shao</surname> <given-names>X. H.</given-names>
</name>
</person-group> (<year>2020</year>). <article-title>Prevalence and distribution analysis of antibiotic resistance genes in a large-scale aquaculture environment</article-title>. <source>Sci. Total Environ.</source> <volume>711</volume>, <fpage>134626</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.scitotenv.2019.134626</pub-id>
</citation>
</ref>
<ref id="B40">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Shi</surname> <given-names>J. H.</given-names>
</name>
<name>
<surname>Su</surname> <given-names>Y. L.</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>Z. J.</given-names>
</name>
<name>
<surname>Wei</surname> <given-names>H. W.</given-names>
</name>
<name>
<surname>Xie</surname> <given-names>B.</given-names>
</name>
</person-group> (<year>2019</year>). <article-title>How do zinc oxide and zero valent iron nanoparticles impact the occurrence of antibiotic resistance genes in landfill leachate</article-title>? <source>Environ. Sci. Nano</source> <volume>6</volume>, <fpage>2141</fpage>&#x2013;<lpage>2151</lpage>. doi: <pub-id pub-id-type="doi">10.1039/C9EN00068B</pub-id>
</citation>
</ref>
<ref id="B41">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Song</surname> <given-names>L.</given-names>
</name>
<name>
<surname>Connolly</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Ferna&#xed;ndez-Cruz</surname> <given-names>M. L.</given-names>
</name>
<name>
<surname>Vijver</surname> <given-names>M. G.</given-names>
</name>
<name>
<surname>Ferna&#xed;ndez</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Conde</surname> <given-names>E.</given-names>
</name>
<etal/>
</person-group>. (<year>2014</year>). <article-title>Species-specific toxicity of copper nanoparticles among mammalian and piscine cell lines</article-title>. <source>Nanotoxicology</source> <volume>8</volume>, <fpage>383</fpage>&#x2013;<lpage>393</lpage>. doi: <pub-id pub-id-type="doi">10.3109/17435390.2013.790997</pub-id>
</citation>
</ref>
<ref id="B42">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Sorensen</surname> <given-names>S. J.</given-names>
</name>
<name>
<surname>Bailey</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Hansen</surname> <given-names>L. H.</given-names>
</name>
<name>
<surname>Kroer</surname> <given-names>N.</given-names>
</name>
<name>
<surname>Wuertz</surname> <given-names>S.</given-names>
</name>
</person-group> (<year>2005</year>). <article-title>Studying plasmid horizontal transfer in situ: a critical review</article-title>. <source>Nat. Rev. Microbiol.</source> <volume>3</volume>, <fpage>700</fpage>&#x2013;<lpage>710</lpage>. doi: <pub-id pub-id-type="doi">10.1038/nrmicro1232</pub-id>
</citation>
</ref>
<ref id="B43">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Stoll</surname> <given-names>C.</given-names>
</name>
<name>
<surname>Sidhu</surname> <given-names>J. P.</given-names>
</name>
<name>
<surname>Tiehm</surname> <given-names>A.</given-names>
</name>
<name>
<surname>Toze</surname> <given-names>S.</given-names>
</name>
</person-group> (<year>2012</year>). <article-title>Prevalence of clinically relevant antibiotic resistance genes in surface water samples collected from Germany and Australia</article-title>. <source>Environ. Sci. Technol.</source> <volume>46</volume>, <fpage>9716</fpage>&#x2013;<lpage>9726</lpage>. doi: <pub-id pub-id-type="doi">10.1021/es302020s</pub-id>
</citation>
</ref>
<ref id="B44">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Su</surname> <given-names>Y. L.</given-names>
</name>
<name>
<surname>Wu</surname> <given-names>D.</given-names>
</name>
<name>
<surname>Xia</surname> <given-names>H. P.</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>C. Y.</given-names>
</name>
<name>
<surname>Shi</surname> <given-names>J. H.</given-names>
</name>
<name>
<surname>Wilkinson</surname> <given-names>K. J.</given-names>
</name>
<etal/>
</person-group>. (<year>2019</year>). <article-title>Metallic nanoparticles induced antibiotic resistance genes attenuation of leachate culturable microbiota: The combined roles of growth inhibition, ion dissolution and oxidative stress</article-title>. <source>Environ. Int.</source> <volume>128</volume>, <fpage>407</fpage>&#x2013;<lpage>416</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.envint.2019.05.007</pub-id>
</citation>
</ref>
<ref id="B45">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Tou</surname> <given-names>F.</given-names>
</name>
<name>
<surname>Wu</surname> <given-names>J.</given-names>
</name>
<name>
<surname>Fu</surname> <given-names>J.</given-names>
</name>
<name>
<surname>Niu</surname> <given-names>Z.</given-names>
</name>
<name>
<surname>Liu</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Yang</surname> <given-names>Y.</given-names>
</name>
</person-group> (<year>2021</year>). <article-title>Titanium and zinc-containing nanoparticles in estuarine sediments: Occurrence and their environmental implications</article-title>. <source>Sci. Total. Environ.</source> <volume>754</volume>, <fpage>142388</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.scitotenv.2020.142388</pub-id>
</citation>
</ref>
<ref id="B46">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Turan</surname> <given-names>N. B.</given-names>
</name>
<name>
<surname>Erkan</surname> <given-names>H. S.</given-names>
</name>
<name>
<surname>Engin</surname> <given-names>G. O.</given-names>
</name>
<name>
<surname>Bilgili</surname> <given-names>M. S.</given-names>
</name>
</person-group> (<year>2019</year>). <article-title>Nanoparticles in the aquatic environment: usage, properties, transformation and toxicity-a review</article-title>. <source>Process Saf. Environ. Prot.</source> <volume>130</volume>, <fpage>238</fpage>&#x2013;<lpage>249</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.psep.2019.08.014</pub-id>
</citation>
</ref>
<ref id="B47">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wang</surname> <given-names>Z.</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>Q.</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>J.</given-names>
</name>
<name>
<surname>Guan</surname> <given-names>T.</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>Y.</given-names>
</name>
<name>
<surname>Shi</surname> <given-names>W.</given-names>
</name>
</person-group> (<year>2020</year>). <article-title>Critical roles of cyanobacteria as reservoir and source for antibiotic resistance genes</article-title>. <source>Environ. Int.</source> <volume>144</volume>, <fpage>106034</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.envint.2020.106034</pub-id>
</citation>
</ref>
<ref id="B48">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wang</surname> <given-names>Z.</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>S.</given-names>
</name>
<name>
<surname>Peijnenburg</surname> <given-names>W.</given-names>
</name>
</person-group> (<year>2016</year>). <article-title>Prediction of joint algal toxicity of nano-CeO<sub>2</sub>/nano-TiO<sub>2</sub> and florfenicol: Independent action surpasses concentration addition</article-title>. <source>Chemosphere</source> <volume>156</volume>, <fpage>8</fpage>&#x2013;<lpage>13</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.chemosphere.2016.04.072</pub-id>
</citation>
</ref>
<ref id="B49">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wang</surname> <given-names>X. L.</given-names>
</name>
<name>
<surname>Yang</surname> <given-names>F. X.</given-names>
</name>
<name>
<surname>Zhao</surname> <given-names>J.</given-names>
</name>
<name>
<surname>Xu</surname> <given-names>Y.</given-names>
</name>
<name>
<surname>Mao</surname> <given-names>D. Q.</given-names>
</name>
<name>
<surname>Zhu</surname> <given-names>X.</given-names>
</name>
<etal/>
</person-group>. (<year>2018</year>). <article-title>Bacterial exposure to ZnO nanoparticles facilitates horizontal transfer of antibiotic resistance genes</article-title>. <source>NanoImpact</source> <volume>10</volume>, <fpage>61</fpage>&#x2013;<lpage>67</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.impact.2017.11.006</pub-id>
</citation>
</ref>
<ref id="B50">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Xu</surname> <given-names>L.</given-names>
</name>
<name>
<surname>Campos</surname> <given-names>L. C.</given-names>
</name>
<name>
<surname>Canales</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Ciric</surname> <given-names>L.</given-names>
</name>
</person-group> (<year>2020</year>). <article-title>Drinking water biofiltration: Behaviour of antibiotic resistance genes and the association with bacterial community</article-title>. <source>Water Res.</source> <volume>182</volume>, <fpage>115954</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.watres.2020.115954</pub-id>
</citation>
</ref>
<ref id="B51">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zhang</surname> <given-names>X.</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>Z.</given-names>
</name>
<name>
<surname>Ma</surname> <given-names>Y.</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>N.</given-names>
</name>
<name>
<surname>Wei</surname> <given-names>D.</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>H.</given-names>
</name>
<etal/>
</person-group>. (<year>2020</year>). <article-title>Response of partial nitrification sludge to the single and combined stress of CuO nanoparticles and sulfamethoxazole antibiotic on microbial activity, community and resistance genes</article-title>. <source>Sci. Total. Environ.</source> <volume>712</volume>, <fpage>135759</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.scitotenv.2019.135759</pub-id>
</citation>
</ref>
<ref id="B52">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zhang</surname> <given-names>Y.</given-names>
</name>
<name>
<surname>Gu</surname> <given-names>A. Z.</given-names>
</name>
<name>
<surname>Cen</surname> <given-names>T.</given-names>
</name>
<name>
<surname>Li</surname> <given-names>X.</given-names>
</name>
<name>
<surname>He</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Li</surname> <given-names>D.</given-names>
</name>
<etal/>
</person-group>. (<year>2018</year>a). <article-title>Sub-Inhibitory concentrations of heavy metals facilitate the horizontal transfer of plasmid-mediated antibiotic resistance genes in water environment</article-title>. <source>Environ. pollut.</source> <volume>237</volume>, <fpage>74</fpage>&#x2013;<lpage>82</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.envpol.2018.01.032</pub-id>
</citation>
</ref>
<ref id="B53">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zhang</surname> <given-names>L.</given-names>
</name>
<name>
<surname>Gu</surname> <given-names>J.</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>X. J.</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>R. R.</given-names>
</name>
<name>
<surname>Tuo</surname> <given-names>X. X.</given-names>
</name>
<name>
<surname>Guo</surname> <given-names>A. Y.</given-names>
</name>
<etal/>
</person-group>. (<year>2018</year>b). <article-title>Fate of antibiotic resistance genes and mobile genetic elements during anaerobic co-digestion of Chinese medicinal herbal residues and swine manure</article-title>. <source>Bioresour. Technol.</source> <volume>250</volume>, <fpage>799</fpage>&#x2013;<lpage>805</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.biortech.2017.10.100</pub-id>
</citation>
</ref>
<ref id="B54">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zhang</surname> <given-names>S.</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>Y.</given-names>
</name>
<name>
<surname>Song</surname> <given-names>H.</given-names>
</name>
<name>
<surname>Lu</surname> <given-names>J.</given-names>
</name>
<name>
<surname>Yuan</surname> <given-names>Z.</given-names>
</name>
<name>
<surname>Guo</surname> <given-names>J.</given-names>
</name>
</person-group> (<year>2019</year>). <article-title>Copper nanoparticles and copper ions promote horizontal transfer of plasmid-mediated multi-antibiotic resistance genes across bacterial genera</article-title>. <source>Environ. Int.</source> <volume>129</volume>, <fpage>478</fpage>&#x2013;<lpage>487</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.envint.2019.05.054</pub-id>
</citation>
</ref>
<ref id="B55">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zhang</surname> <given-names>X. H.</given-names>
</name>
<name>
<surname>Xu</surname> <given-names>Y. B.</given-names>
</name>
<name>
<surname>He</surname> <given-names>X. L.</given-names>
</name>
<name>
<surname>Huang</surname> <given-names>L.</given-names>
</name>
<name>
<surname>Ling</surname> <given-names>J. Y.</given-names>
</name>
<name>
<surname>Zheng</surname> <given-names>L.</given-names>
</name>
<etal/>
</person-group>. (<year>2016</year>). <article-title>Occurrence of antibiotic resistance genes in landfill leachate treatment plant and its effluent-receiving soil and surface water</article-title>. <source>Environ. pollut.</source> <volume>218</volume>, <fpage>1255</fpage>&#x2013;<lpage>1261</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.envpol.2016.08.081</pub-id>
</citation>
</ref>
<ref id="B56">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zhao</surname> <given-names>Y.</given-names>
</name>
<name>
<surname>Cocerva</surname> <given-names>T.</given-names>
</name>
<name>
<surname>Cox</surname> <given-names>S.</given-names>
</name>
<name>
<surname>Tardif</surname> <given-names>S.</given-names>
</name>
<name>
<surname>Su</surname> <given-names>J. Q.</given-names>
</name>
<name>
<surname>Zhu</surname> <given-names>Y. G.</given-names>
</name>
<etal/>
</person-group>. (<year>2019</year>). <article-title>Evidence for coselection of antibiotic resistance genes andmobile genetic elements in metal polluted urban soils</article-title>. <source>Sci. Total Environ.</source> <volume>656</volume>, <fpage>512</fpage>&#x2013;<lpage>520</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.scitotenv.2018.11.372</pub-id>
</citation>
</ref>
</ref-list>
</back>
</article>