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Response of aerobic granular sludge to the long-term presence of CuO NPs in A/O/A SBRs: nitrogen and phosphorus removal, enzymatic activity and the microbial community Xiao-ying Zheng, Dan Lu, Wei Chen, Yajie Gao, Gan Zhou, Yuan Zhang, Xiang Zhou, and Mengqi Jin Environ. Sci. Technol., Just Accepted Manuscript • DOI: 10.1021/acs.est.7b02768 • Publication Date (Web): 23 Aug 2017 Downloaded from http://pubs.acs.org on August 24, 2017

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Response of aerobic granular sludge to the long-term presence of CuO NPs in

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A/O/A SBRs: nitrogen and phosphorus removal, enzymatic activity and the

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microbial community

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Xiao-ying Zheng1,2,*, Dan Lu2, Wei Chen1,2, Ya-jie Gao2, Gan Zhou2, Yuan Zhang2, Xiang Zhou 2, Meng-Qi Jin2

5 6 7

1. Ministry of Education Key Laboratory of Integrated Regulation and Resource

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Development on Shallow Lakes, Hohai University, Nanjing 210098, PR China

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2. College of Environment, Hohai University, Nanjing 210098, PR China.

10 11 12 13 14 15 16 17 18 19 20 21 22

*

23

86-25-83786707

Corresponding author (e-mail): [email protected] (Xiao-ying Zheng), Tel: 86-25-83786707, Fax:

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Abstract

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The increasing use of cupric oxide nanoparticles (CuO NPs) has raised concerns

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about their potential environmental toxicity. Aerobic granular sludge (AGS) is a

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special form of microbial aggregates. In this study, the removal efficiencies of

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nitrogen and phosphorus, enzyme activities and microbial community of AGS under

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long-term exposure to CuO NPs (at concentrations of 5, 20, 50 mg/L) in

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aerobic/oxic/anoxic (A/O/A) sequencing batch reactors (SBRs) were investigated. The

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results showed the chronic toxicity caused by different concentrations of CuO NPs (5,

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20, 50 mg/L) resulted in increases in the production of ROS of 110.37%, 178.64%,

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188.93% and in the release of lactate dehydrogenase (LDH) of 108.33%, 297.05%,

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335.94%, respectively, compared to the control. Besides, CuO NPs decreased the

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activities of polyphosphate kinase (PPK) and exophosphatase (PPX), leading to lower

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phosphorus removal efficiency. However, the NH4+-N removal rates remained stable,

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and the removal efficiencies of TN increased due to the synthesis of nitrite and nitrous

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oxide (N2O) reductases. In addition, CuO NPs at concentrations of 0, 5, 20 mg/L

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increased the secretion of protein (PN) to 90, 91, 105 mg/gVSS, respectively, which

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could alleviate the toxicity of CuO NPs. High-throughput sequencing showed that

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CuO NPs increased the abundance of nitrogen-removal bacteria and reduced the

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abundance of phosphorus-removal bacteria, which is consistent with the results of

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pollutant removal upon long-term exposure to CuO NPs.

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Key words: CuO NPs; AGS; nitrogen and phosphorus; environmental impact;

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microbial community

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1. Introduction

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Because of the unique physicochemical properties of cupric oxide nanoparticles

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(CuO NPs), they have been widely utilized in various fields, such as in gas sensors,

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wood preservation, antimicrobial textiles, batteries, catalytic processes, marine

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antifouling, plastics and metallic coating

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NPs on organisms and cell tissue injury have attracted extensive attention due to their

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nanometer size and specific properties, for instance, strong adsorption capacity and

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high chemical activities. CuO NPs also have shown evident toxicity in bacteria 1,

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algae 4, yeast, protozoa 5, mammalian cells 6 and Daphnia magna 7. Some studies also

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pointed out that CuO NPs can damage organisms at the cellular, protein and gene

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levels 8. At the same time, nanomaterials can lead to significant pulmonary disease,

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when people inhale them.

1,3,2

. However, the negative impacts of CuO

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Meanwhile, CuO NPs are inevitably released into industrial and municipal

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wastewater owing to the rapid increases in their production and applications 9. The

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nanomaterials adsorbed by activated sludge will have a detrimental effect on the

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growth of some microorganisms in wastewater treatment plants. Therefore, it is

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necessary to explore the potential impacts of CuO NPs on biological wastewater

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treatment systems with different types of activated sludge, which are crucial to a

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normal ecosystem. In general, there are two different types of activated sludge in

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sewage treatment: the flocculent form, such as flocculent sludge, and the aggregate

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form, for instance, biofilms and granular sludge. Different types of sludge may

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respond differently to the presence of nanoparticles due to their varying structures and

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microbial properties. Hou et al.10 found that the presence of CuO NPs had an impact

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on the flocculating ability of flocculent sludge because it affected the composition of

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extracellular polymeric substances (EPS). Moreover, CuO NPs decreased the nitrogen

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and phosphorus removal rates and microbial enzymatic activities of flocculent sludge

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11

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biofilm to CuO NPs exposure is different from that of flocculent sludge because of the

. Besides, studies have shown that the acute toxicity response mechanism of a

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denser and stronger microbial aggregate structure of a biofilm under short-term

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exposure (24 h) 12. Researchers elsewhere 13 also pointed out that short-term exposure

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(8 h) to 1 and 50 mg/L CuO NPs induced negligible effects on the nitrogen-removal

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efficiency in a sequencing batch biofilm reactor (SBBR). On the contrary, aerobic

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granular sludge (AGS) is rich in microbial populations with different functions due to

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the different intraparticle oxygen environments, and has a dense structure that

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enhances the internal bacterial resistance to external toxic substances. As far as we

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know, little information is available that enables evaluation of the long-term effects of

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CuO NPs on the performance (nitrogen- and phosphorus-removal rates), microbial

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enzymatic activities and microbial community of AGS. Furthermore, previous studies

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have rarely focused on the toxicity of CuO NPs toward AGS in an anaerobic–oxic–

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anoxic (A/O/A) sequencing batch reactor (SBR).

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Therefore, the major purposes of this study were: (i) to display the long-term

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(90-d) effects of CuO NPs on the nitrogen and phosphorus removal, microbial

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activities and microbial enzymatic activities of AGS in an A/O/A SBR; (ii) to

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investigate the integrity of the cells and oxidative stress induced by CuO NPs via

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measurements of lactate dehydrogenase (LDH) and reactive oxygen species (ROS);

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(iii) to evaluate the variations in microbial richness and diversity in the activated

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sludge at different CuO NPs concentrations through high-throughput sequencing. This

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study will provide detailed information on the impacts of chronic CuO NPs exposure

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on the special microbial aggregate of AGS.

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2. Materials and methods

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2.1. Preparation of CuO NPs suspension

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CuO NPs were obtained from Shanghai Sigma-Aldrich Trading Co., Ltd. The

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morphology of aggregated CuO NPs was observed by scanning electron microscopy

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(SEM), which showed CuO NPs had an average particle diameter of about 50 nm (Fig.

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S1). The preparation of a CuO NPs stock solution was carried out using the ultrasonic

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method

, and the steps can be summarized as follows: 500 mg CuO NPs were put

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into 1 L of Milli-Q water and followed by 1 h of ultrasonication (25 °C, 120 W, 40

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kHz) to obtain a 500 mg/L stock solution. Then the CuO NPs stock solution was

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diluted to 5, 20, 50 mg/L prior to use.

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2.2. Set-up and operation of the granular SBR

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The inoculated AGS for the CuO NPs exposure experiments was obtained from a

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laboratory culture of 2 months, and it had an average particle diameter of 1.50 mm.

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The experiments were carried out in SBRs with inner diameters of 120 mm, heights of

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700 mm and volume exchange ratios of 60%, giving an effective volume of 7 L. The

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quantity of mixed liquor suspended solids (MLSS) of AGS in each reactor was 3 g/L.

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The AGS was fed with synthetic wastewater, which was composed of (mg/L): COD

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400 (sodium acetate), NH4+-N 50 (NH4Cl), PO43−-P 10 (KH2PO4), CaCl2 10, MgSO4

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50 and 5 mL of a concentrated trace elements solution (mg/L) containing H3BO4 1.16,

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FeSO4·7H2O 2.78, ZnSO4·7H2O 1.25, MnSO4·H2O 1.69, CuSO4·5H2O 0.38,

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CoCl2·6H2O 0.15 and MoO3 0.10. Solutions with CuO NPs concentrations of 5, 20,

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50 mg/L were added to three SBRs during the feeding period, while the control

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reactor received no CuO NPs. These reactors were operated on a 6-h cycle, consisting

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of feeding (10 min), anaerobic phase (90 min), aerobic phase (140 min), anoxic phase

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(116 min), settling time (2 min) and effluent discharge periods (2 min). The air was

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supplied by a fine-bubble aerator connected to the bottom of each reactor with an

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airflow of 2 L/min, and the dissolved oxygen (DO) concentration was stable at about

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5.0 mg/L during the aerobic stage. The temperature was controlled at 20±3 °C, and

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the pH was maintained between 7 and 8.

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2.3. Determination of key enzyme activities in the AGS

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Biological nitrogen removal processes include ammonification, nitrification and

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denitrification, and the latter two especially have pivotal roles in the process.

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Generally,

autotrophic

ammonia

oxidizing

bacteria

(AOB)

uses

ammonia

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monooxygenase (AMO) to catalyze ammonia oxidation, followed by the oxidation of

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nitrite to nitrate via nitrite oxidoreductase (NOR) in nitrite oxidizing bacteria (NOB).

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Finally, denitrification is catalyzed by nitrate reductase (NR) and nitrite reductase

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(NIR). And exophosphatase (PPX) and polyphosphate kinase (PPK), which are

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closely related to biological phosphorus removal, can hydrolyze and synthesize

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phosphorus during the anaerobic and anoxic phases, respectively. Therefore, AMO,

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NOR, NR, NIR, PPX and PPK play significant roles in biological nitrogen and

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phosphorus removal, and the methods of measurement of the activities of these

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enzymes have been described in the literature 15,16.

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2.4. Determination of ROS production and LDH release in the AGS

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The production of intracellular ROS can be used to evaluate the extent of

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oxidative stress caused by CuO NPs. The amount of extracellular LDH released can

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be used to evaluate the integrity of the cell membranes. Hence, ROS release and LDH

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production can measure the toxic mechanisms of CuO NPs after long-term exposure.

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The intracellular ROS production was determined according to the literature

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short, AGS samples were first washed with phosphate buffer solution (PBS) three

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times; then the particles (wet weight 15 mg) were resuspended in 0.1 M phosphate

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buffer containing 20 M dichlorodihydrofluorescein acetate at 35±1 °C in the dark for

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30 minutes; the particles were harvested by centrifugation and suspended in 0.1 M

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phosphate buffer and inoculated in a 96-hole plate. The fluorescein DCF generated

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was measured after 30 min using a microplate reader (Tecan InfiniteM200,

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Switzerland) with 485 nm excitation and 520 nm emission filters. LDH is used to

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characterize the integrity of the cell membrane, and the LDH level was determined

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according to previous research 18.

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. In

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2.5. Evaluation of the microbial community in the AGS

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First, triplicate samples were collected from each SBR reactor for

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high-throughput sequencing in order to ensure the integrity of the AGS samples.

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Genomic DNA of the mixed AGS sample was extracted directly with the E.Z.N.A.®

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Tissue DNA kit (Omega Bio-tek, Norcross, GA, USA) according to the

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manufacturer's instructions. The extracted DNA samples were stored at -20 °C until

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use. Then, partial 16S rDNA based on high-throughput sequencing was used to

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determine the microbial diversity and composition of each AGS sample. PCR

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amplification was based on the primers 515F (50-GTGCCAGCAGCCGCGGTAA-30)

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and 806R (50-GGACTACCAGGGTATCTAAT-30) in the V4 region of 16S rDNA.

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Bacterial communities were measured by Illumina high-throughput sequencing

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technology, which was conducted by Majorbio Bio-Pharm Technology Co., Ltd.

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(Shanghai, China).

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Operational units (OTUs) were clustered with a 97% similarity cutoff using

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UPARSE (version 7.1 http://drive5.com/uparse/), and chimeric sequences were

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identified and removed using UCHIME. The sequences were systematically classified

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using the RDP classifier and assigned to different levels. Besides, the phylogenetic

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relationships of each 16S rRNA gene sequence were analyzed by RDP classifier

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against the silva (SSU115) 16S rRNA database using a confidence threshold of 70%.

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Coverage, Shannon, Chao, ACE and Simpson indexes were generated in MOTHUR

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for each AGS sample. A Venn diagram with shared and unique OTUs was used to

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describe the similarities and differences between AGS samples at different CuO NPs

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concentrations.

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2.6. Other analytical methods and statistical analysis

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The concentration of copper ions in the solution was measured by inductively

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coupled plasma spectrometry (ICP-AES, Spectro Arcoss Eop, Germany). The granule

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size was measured using a particle-size analyzer (Mastersizer 2000, England). The

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surface of the AGS was observed by scanning electron microscopy (SEM, S4800,

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Hitachi, Japan). EPS was extracted with the cationic resin extraction method. In

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addition, methods used to measure the soluble protein (PN) and polysaccharide (PS)

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contents of the EPS extraction were the Coomassie Brilliant Blue and anthracene-Cu

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methods, respectively. The procedures for determining COD, TN, NH4+-N, NO3−-N,

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NO2−-N, TP, MLVSS and SVI are detailed in the Standard Methods (APHA, 2005).

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The pH and DO were measured using a pHS-25 m and YSI5000 m. All assays were

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performed in triplicate, an analysis of variance (ANOVA) was used to test the

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significance of the results and p < 0.05 was considered to be statistically significant.

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3. Results and discussion

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3.1. Reactor performance and sludge properties during CuO NPs exposure

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Some studies have shown that the important reasons for the effects of CuO NPs

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on biological nitrogen and phosphorus removal are nano-size effect and the release of

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copper ions (Cu2+) from CuO NPs 19. In our experiments, the average concentrations

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of the released Cu2+ were 0.08, 0.19, 0.27 mg/L at CuO NPs concentrations of 5, 20,

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50 mg/L, respectively (Fig. S2). The performance of the AGS reactors and sludge

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properties in response to the long-term exposure to CuO NPs were determined, and

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the results are presented in Fig. 1.

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The average removal efficiencies of COD and ammonia nitrogen in the AGS

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reactors at CuO NPs concentrations of 5, 20 and 50 mg/L were almost the same as the

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control reactor throughout the whole operation period (Fig. 1a,b), remaining at about

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97% and 91%, respectively, at the end of the exposure. The average removal

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efficiency of total nitrogen (TN) at CuO NPs concentrations of 5 mg/L was almost the

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same as that of the control reactor (Fig. 1c). However, with increased concentrations

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of CuO NPs (20 and 50 mg/L), the TN removal rates increased to 80.62% and 81.68%,

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respectively, when the removal rate of the control was 76.09%. It can be easily seen

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that the increase in Cu2+ enhances the effects of CuO NPs on TN removal. It is known

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that copper is responsible for the positive synthesis and activation of nitrite reductase

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(CuNIR) and N2O reductase. CuNIR folds into a homotrimeric structure with two

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distinct Cu-binding sites and can catalyze the conversion of nitrite to nitric oxide

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(NO2- to NO), and N2O reductase is the enzyme catalyzing the final step of bacterial

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denitrification (i.e., reducing N2O to N2) 20. Therefore, when the growth conditions of

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the sludge lacked Cu2+, the denitrifying process was inhibited, resulting in the

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accumulation of NO2--N and N2O 21. However, it has been found that the impacts of

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ZnO NPs and AgO NPs on the activities and functions of the bacteria in AGS reactors

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are different from that of CuO NPs

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suppressor effects on the AGS. At the end of operation (on day 90), the total

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phosphorus (TP) removal efficiencies had dropped to 74.01%, 53.19% and 69.53%

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because of the increased CuO NPs concentrations of 5, 20 and 50 mg/L, respectively,

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much lower than the control (77.46%) (Fig. 1d). These data indicate that high CuO

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NPs concentrations had chronic toxic effects on biological phosphorus removal.

22 23

. And ZnO NPs and AgO NPs show some

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Fig. 1e demonstrates that the biomass at a low CuO NPs concentration of 5 mg/L

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was basically the same as that of the control reactor, while the reactors fed with 20

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and 50 mg/L CuO NPs had biomasses of 3.40 and 3.39 gMLVSS/L, respectively,

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slightly lower than the control (3.89 gMLVSS/L). These data indicate that long-term

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CuO NPs exposure brought down the biomass production in AGS reactors, which was

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a similar trend to the effect of chronic toxicity of CuO NPs on biological phosphorus

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removal.

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The sludge volume index (SVI) is an important indicator of sludge settling

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performance. With the increased concentrations of CuO NPs (5, 20 and 50 mg/L), the

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SVI decreased to 28.81, 25.20 and 23.85 mL/g, respectively, as compared to the

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control (29.13 mL/g) (Fig. 1f), which indicates an improvement in AGS settling

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ability. The settling ability of the biofilm in response to exposure to CuO NPs was

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enhanced, which was similar to the results of the AGS

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concentrations of CuO NPs resulted in the deterioration of the settling ability of

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. However, high

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flocculent sludge 11. And the average particle size of the AGS increased with increased

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CuO NPs concentrations (5, 20 and 50 mg/L) to 1.92, 2.21 and 2.58 mm, respectively,

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when the average particle size of the control was 1.59 mm (Fig. 1g). This

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phenomenon can be explained by the following: more CuO NPs accumulated in the

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AGS with the extension of exposure time, resulting in chronic toxicity toward the

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microbial cells and more extracellular DNA production in the EPS matrix, which in

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turn could induce more cells to be adsorbed and accumulate on the surface of the

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AGS.

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In general, the AGS maintained good endurance with long-term exposure to CuO

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NPs, and preserved its particle size, shape, sedimentation and good effluent qualities

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(especially TN).

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3.2. Influences of CuO NPs on the transformations of nitrogen, phosphorus

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The removal efficiencies of NH4+-N were nearly the same in the four reactors

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during one cycle (Fig. 2a), which almost corresponded with the NH4+-N removal

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efficiencies during the long-term (90-d) exposure. However, there were significant

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differences in the variations of NO2--N, NO3--N and TP at different concentrations of

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CuO NPs during one cycle. For example, with the increased concentrations of CuO

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NPs (5, 20 and 50 mg/L), the NO2--N and NO3--N values were 0.26 and 8.61, 0.15 and

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5.33, 0.07 and 4.85 mg/L, respectively, at the end of the anoxic stage, when the

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concentrations of NO2--N and NO3--N were 0.32 and 12.19 mg/L in the control (Fig.

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2a). These data indicate that the CuO NPs could reduce the accumulation of NO2--N

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and NO3--N. Obviously, the positive effects of CuO NPs on the removal of TN mainly

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occurred in the denitrification stage, which is consistent with the above results that the

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copper was beneficial for the syntheses involving CuNIR and N2O reductase that

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catalyze the conversion of NO2- to NO and N2O to N2, respectively 20.

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Nevertheless, the different variations in TP during one cycle were mainly due to

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the different amounts of phosphorus released during the anaerobic phase (Fig. 2b).

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The maximum amounts of phosphorus release dropped with increased CuO NPs

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concentrations (5, 20 and 50 mg/L) to 46.01, 33.97 and 34.77 mg/L, respectively, at

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the end of the anaerobic stage, when the phosphorus release of the control was 46.33

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mg/L (Fig. 2b). Thus, CuO NPs had an obvious inhibitory effect on phosphorus

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release in the anaerobic stage. A possible reason may be that CuO NPs can inhibit the

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conversion of the carbon source to polyhydroxyalkanoates (PHA). In turn, lower

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amounts of carbon source were consumed for phosphorus removal, and higher

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amounts of carbon source would be left for denitrification, which would also be one

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of the reasons why CuO NPs promotes TN removal.

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3.3. Effects of CuO NPs on the microbial enzymatic activities of AGS

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The performances of biological nitrogen and phosphorus removal are closely

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related to the activities of some enzymes, for example AMO and NOR play a

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significant role in nitrification, and NR and NIR are two important enzymes in

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denitrification. Besides, the activities of PPX and PPK are related directly to

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phosphorus removal. As shown in Fig. 3a, CuO NPs had no obvious impact on the

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activities of AMO and NOR, which could explain why NH4+-N levels did not change

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significantly during one cycle. However, CuO NPs had a positive role in the

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production of NR and NIR, and caused the inhibition of PPX and PPK activities.

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When the concentrations of CuO NPs were 0, 5, 20, 50 mg/L, NR and NIR increased

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from 0.022 and 0.139 to 0.024 and 0.147, 0.028 and 0.167, 0.03 (µmol NO2--N/mg

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protein·min) and 0.17 (µmol NO2--N/mg protein·min) (Fig. 3a), respectively. These

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results show that CuO NPs could improve denitrification in the AGS by promoting the

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synthesis of NR and NIR to decrease the accumulation of NO2--N and NO3--N.

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Conversely, with the increased concentrations of CuO NPs (0, 5, 20, 50 mg/L), the

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PPK and PPX activities decreased from 0.214 and 0.037 to 0.201 and 0.035, 0.143

291

and

292

p-nitrophenol/(min·mg protein)) (Fig. 3b), respectively. These data indicate that CuO

0.026,

0.093

(µmol

NADPH/

(min·mg

protein))

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0.021

(µmol

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NPs were inversely related to the production of the PPK and PPX. The variational

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tendencies of PPK and PPX were in accordance with the removal rates of TP during

295

the long-term exposure to CuO NPs.

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3.4. Assessment of the toxicity of the CuO NPs towards the AGS

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It is well known that poorly biodegraded and toxic substances, such as

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nanomaterials, are removed by adsorption onto the AGS, leading to the accumulation

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of nanomaterials on the surface of the AGS 24. Compared with the control reactor, the

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surface of the AGS with a CuO NPs concentration of 50 mg/L added accumulated a

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large amount of CuO NPs (Fig. S3). And EDX elemental analysis showed that the

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amounts of CuO NPs absorbed by the AGS increased from 0.10% to 0.17%, 0.20%,

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0.24% with increasing concentrations of CuO NPs of 0, 5, 20, 50 mg/L, respectively.

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CuO NPs on the surface of the AGS could induce oxidative damage in the

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microorganisms, leading to a loss of integrity of the cell membrane. And lactate

306

dehydrogenase (LDH) is a type of endoenzyme that can be released to the

307

extracellular region when the cytomembrane is inflicted with serious damage.

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Therefore, the amounts of LDH release can be used to represent these injuries to the

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cytomembrane. Compared to 0 mg/L, the LDH increased by 108.33%, 297.05%,

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335.94% at 5, 20, 50 mg/L CuO NPs (Fig. 4), respectively. Obviously, high

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concentrations of CuO NPs could destroy the cytomembrane integrity of

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microorganisms in the AGS, releasing cellular contents into the extracellular region

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and resulting in excessive production of reactive oxygen species (ROS). Meanwhile,

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excessive production of ROS would destroy the balance of oxidation and

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antioxidation within the cells, leading to excessive oxidation of DNA, lipids, proteins

316

and other molecules, and affecting the metabolic functions of the organisms. As

317

shown in Fig. 4, with the increased concentrations of CuO NPs (5, 20, 50 mg/L), the

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ROS increased to 110.37%, 178.64%, 188.93%, respectively, compared to the control

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(100%). And the variations in LDH and ROS of the biofilm and flocculent sludge in

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response to exposure to CuO NPs were consistent with our experimental results

.

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These data show that high CuO NPs concentrations resulted in a serious imbalance

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between the levels of oxidation and antioxidation in the AGS.

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Bacteria secrete EPS as a barrier against toxic substances in response to

324

long-term exposure to NPs. Meanwhile, EPS plays a significant role in maintaining

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the structure and stability of the AGS, which is composed of proteins (PN) and

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polysaccharides (PS). Therefore, it is particularly important to analyze the variations

327

in EPS in the AGS. In this experiment, the contents of EPS secreted by the AGS were

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measured under different concentrations of CuO NPs on day 90 after long-term

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exposure. The concentrations of PS remained stable at about 71 ± 2 mg/gVSS at

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different levels of CuO NPs exposure (0, 5, 20 mg/L), while the concentrations of PN

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increased significantly to 90, 91, 105 mg/gVSS, respectively (Fig. 5). Thus, the ratio

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of PN to PS (PN/PS) also grew dramatically. One possible explanation for the

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elevated PN could be the induction of heat shock-like proteins as a defense

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mechanism against high heavy metal ion concentrations 25. However, when the CuO

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NPs concentration was 50 mg/L, the concentrations of PS and PN decreased

336

substantially to 36 and 74 mg/gVSS, respectively. This was the reason why the

337

toxicity caused by high concentrations of CuO NPs resulted in a large number of

338

cellular deaths in the AGS, which is consistent with the substantial release of LDH

339

and the overproduction of ROS.

340

3.5. Effects of CuO NPs on the microbial community of the AGS

341

Under the different concentrations of CuO NPs (0, 5, 20, 50 mg/L), the microbial

342

community was analyzed through high-throughput sequencing, and effective

343

sequences of the AGS in the four reactors were 49863, 42075, 34826, 37083 genomes,

344

respectively. Meanwhile, the effective sequences for the 0, 5, 20, 50 mg/L

345

concentrations of CuO NPs were divided into 2579, 2257, 2139, 1824 operational

346

taxonomic units (OUT), respectively, based on the similarities of the domain values

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(0.97) (Tab. 1). The Good’s coverages of the four samples were all higher than 99%

348

(Tab. 1), indicating that the microbial diversities were basically covered by the

349

obtained sequence libraries. The richness and diversity of the microorganisms at

350

different concentrations of CuO NPs could be indicated by the Chao, Ace, Shannon

351

and Simpson indexes in Tab. 1. The results show that high CuO NPs concentrations

352

reduced the diversity and richness of the microbial community, which was contrary to

353

the decrease in microbial diversity of the biofilm in response to short-term exposure to

354

CuO NPs

355

communities were compared via a Venn diagram (Fig. S4).

12

. Moreover, the similarities and differences among the microbial

356

To better characterize the differences of the functional bacteria in nitrogen and

357

phosphorus removal among the four AGS samples, the microbial communities of the

358

AGS were analyzed at the genus level. The heat-maps of the genus levels showed that

359

the prevailing genera in the four AGS samples were Zoogloea (43.28–57.90%),

360

Nitrospira (2.22–8.80%), Dechloromonas (1.02–6.00%), Defluviimonas (0.31–8.13%),

361

Gemmatimonas (2.03–2.99%) and Tepidisphaera (1.05–2.82%) (Fig. 6). It can be

362

seen that Zoogloea was present in the largest proportion (about 50%), which was

363

associated with the resistance to heavy metal ions. Therefore, with the increase in

364

CuO NPs concentrations, AGS increased the resistance of the sludge system to the

365

CuO NPs toxicity, resulting in a slight increase in the relative abundance of the

366

Zoogloea. However, the relative abundance of the Zoogloea in the biofilm in response

367

to short-term exposure to CuO NPs decreased because of its weakly antitoxic activity

368

12

369

bacteria at the genus level (Fig. 7). Nitrosomonas and Nitrospira are closely related to

370

the nitrification process, and can, respectively, oxidize ammonia and nitrite into nitrite

371

and nitrate 26. Compared with the former, the latter was greatly affected by CuO NPs,

372

and the effect was positively related to the CuO NPs concentrations (Tab. S1).

373

Thermomonas and Flavobacterium are able to convert nitrite into N2

374

relative abundances increased from 0.73% and 0.27% to 1.68% and 0.62%, 2.84%

. Besides, there were significant differences in nitrogen- and phosphorus-removal

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and 0.82%, 3.78% and 0.94%, respectively, with the increased concentrations of CuO

376

NPs (0, 5, 20, 50mg/L). In addition, anaerobic ammonium oxidizing bacteria

377

(Gemmata) were found in the reactors. It can be seen that the addition of CuO NPs

378

increased the abundance of nitrogen-removal bacteria, which also proves that CuO

379

NPs promote nitrogen removal from another angle. The genera Acinetobacter and

380

Pseudomonas, which have phosphorus-removal ability, displayed decreasing relative

381

abundances with increases in CuO NPs concentration, which were in accordance with

382

the TP removal rates under long-term exposure. It was also found that the relative

383

abundance of Dechloromonas, which are glycogen accumulating organisms (GAO),

384

was negatively correlated with CuO NPs concentration. And some studies showed that

385

GAO can produce N2O during denitrification 28, revealing that high CuO NPs could

386

reduce the generation of N2O.

387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402

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Acknowledgements

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This work was supported by the National Natural Science Foundation of China

405

(Grant No. 51678214); the Jiangsu Province Natural Science Foundation (Grant No.

406

BK20161505); the Fundamental Research Funds for the Central Universities (Grant

407

No. 2005B16414); and a Project Funded by the Priority Academic Program

408

Development of Jiangsu Higher Education Institutions (PAPD)

409 410

411 412

Supporting Information Available

Table S1 and Figures S1~S4. This information is available free of charge via the internet at http://pubs.acs.org.

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References: (1) Heinlaan, M.; Ivask, A.; Blinova, I.; Dubourguier, H.Kahru, A. Toxicity of nanosized and bulk ZnO, CuO and TiO2 to bacteria Vibrio fischeri and crustaceans Daphnia magna and Thamnocephalus platyurus. Chemosphere. 2008, 71, 1308-1316. (2) Adam, N.; Vakurov, A.; Knapen, D.Blust, R. The chronic toxicity of CuO nanoparticles and copper salt to Daphnia magna. J. Hazard Mater. 2015, 283, 416-422. (3) Mortimer, M.; Kasemets, K.Kahru, A. Toxicity of ZnO and CuO nanoparticles to ciliated protozoa Tetrahymena thermophila. Toxicology. 2010, 269, 182-189. (4) Aruoja, V.; Dubourguier, H.; Kasemets, K.Kahru, A. Toxicity of nanoparticles of CuO, ZnO and TiO2 to microalgae Pseudokirchneriella subcapitata. Sci Total Environ. 2009, 407, 1461-1468. (5) Kasemets, K.; Ivask, A.; Dubourguier, H.Kahru, A. Toxicity of nanoparticles of ZnO, CuO and TiO2 to yeast Saccharomyces cerevisiae. Toxicol in Vitro. 2009, 23, 1116-1122. (6) Bondarenko, O.; Juganson, K.; Ivask, A.; Kasemets, K.; Mortimer, M.Kahru, A. Toxicity of Ag, CuO and ZnO nanoparticles to selected environmentally relevant test organisms and mammalian cells in vitro: a critical review. Arch Toxicol. 2013, 87, 1181-1200. (7) Mwaanga, P.; Carraway, E. R.van den Hurk, P. The induction of biochemical changes in Daphnia magna by CuO and ZnO nanoparticles. Aquat Toxicol. 2014, 150, 201-209. (8) Weichenthal, S.; Dufresne, A.Infante-Rivard, C. Indoor ultrafine particles and childhood asthma: exploring a potential public health concern. Indoor Air. 2007, 17, 81-91. (9) Ganesh, R.; Smeraldi, J.; Hosseini, T.; Khatib, L.; Olson, B. H.Rosso, D. Evaluation of Nanocopper Removal and Toxicity in Municipal Wastewaters. Environ Sci Technol. 2010, 44, 7808-7813. (10) Hou, J.; Miao, L.; Wang, C.; Wang, P.; Ao, Y.Lv, B. Effect of CuO nanoparticles on the production and composition of extracellular polymeric substances and physicochemical stability of activated sludge flocs. Bioresource Technol. 2015, 176, 65-70. (11) Wang, S.; Li, Z.; Gao, M.; She, Z.; Ma, B.; Guo, L.; Zheng, D.; Zhao, Y.; Jin, C.; Wang, X.Gao, F. Long-term effects of cupric oxide nanoparticles (CuO NPs) on the performance, microbial community and enzymatic activity of activated sludge in a sequencing batch reactor. J. Environ Manage. 2017, 187, 330-339. (12) Miao, L.; Wang, C.; Hou, J.; Wang, P.; Ao, Y.; Li, Y.; Yao, Y.; Lv, B.; Yang, Y.; You, G.; Xu, Y.Gu, Q. Response of wastewater biofilm to CuO nanoparticle exposure in terms of extracellular polymeric substances and microbial community structure. Sci Total Environ. 2017, 579, 588-597. (13) Hou, J.; You, G.; Xu, Y.; Wang, C.; Wang, P.; Miao, L.; Ao, Y.; Li, Y.; LV, B.Yang, Y. Impacts of CuO nanoparticles on nitrogen removal in sequencing batch biofilm reactors after short-term and long-term exposure and the functions of natural organic matter. Environ Sci Pollut R. 2016, 23, 22116-22125. (14) Keller, A. A.; McFerran, S.; Lazareva, A.Suh, S. Global life cycle releases of engineered nanomaterials. J. Nanopart Res. 2013, 15. (15) Wang, S.; Gao, M.; She, Z.; Zheng, D.; Jin, C.; Guo, L.; Zhao, Y.; Li, Z.Wang, X. Long-term effects of ZnO nanoparticles on nitrogen and phosphorus removal, microbial activity and microbial community of a sequencing batch reactor. Bioresource Technol. 2016, 216, 428-436.

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(16) Wang, S.; Gao, M.; Li, Z.; She, Z.; Wu, J.; Zheng, D.; Guo, L.; Zhao, Y.; Gao, F.Wang, X. Performance evaluation, microbial enzymatic activity and microbial community of a sequencing batch reactor under long-term exposure to cerium dioxide nanoparticles. Bioresource Technol. 2016, 220, 262-270. (17) Mu, H.Chen, Y. Long-term effect of ZnO nanoparticles on waste activated sludge anaerobic digestion. Water Res. 2011, 45, 5612-5620. (18) Han, X.; Gelein, R.; Corson, N.; Wade-Mercer, P.; Jiang, J.; Biswas, P.; Finkelstein, J. N.; Elder, A.Oberdörster, G. Validation of an LDH assay for assessing nanoparticle toxicity. Toxicology. 2011, 287, 99-104. (19) Gao, J.; Youn, S.; Hovsepyan, A.; Llaneza, V. L.; Wang, Y.; Bitton, G.Bonzongo, J. J. Dispersion and Toxicity of Selected Manufactured Nanomaterials in Natural River Water Samples: Effects of Water Chemical Composition. Environ Sci Technol. 2009, 43, 3322-3328. (20) Nojiri, M.; Koteishi, H.; Nakagami, T.; Kobayashi, K.; Inoue, T.; Yamaguchi, K.Suzuki, S. Structural basis of inter-protein electron transfer for nitrite reduction in denitrification. Nature. 2009, 462, 117-120. (21) Granger, J.Ward, B. B. Accumulation of Nitrogen Oxides in Copper-Limited Cultures of Denitrifying Bacteria. 2003, 48, 313-318. (22) He, Q.; Yuan, Z.; Zhang, J.; Zhang, S.; Zhang, W.; Zou, Z.Wang, H. Insight into the impact of ZnO nanoparticles on aerobic granular sludge under shock loading. Chemosphere. 2017, 173, 411-416. (23) Quan, X.; Cen, Y.; Lu, F.; Gu, L.Ma, J. Response of aerobic granular sludge to the long-term presence to nanosilver in sequencing batch reactors: Reactor performance, sludge property, microbial activity and community. Sci Total Environ. 2015, 506-507, 226-233. (24) Kiser, M. A.; Ryu, H.; Jang, H.; Hristovski, K.Westerhoff, P. Biosorption of nanoparticles to heterotrophic wastewater biomass. Water Res. 2010, 44, 4105-4114. (25) Bradford, A.; Handy, R. D.; Readman, J. W.; Atfield, A.Muhling, M. Impact of silver nanoparticle contamination on the genetic diversity of natural bacterial assemblages in estuarine sediments. Environ Sci Technol. 2009, 43, 4530-4536. (26) Hoang, V.; Delatolla, R.; Abujamel, T.; Mottawea, W.; Gadbois, A.; Laflamme, E.Stintzi, A. Nitrifying moving bed biofilm reactor (MBBR) biofilm and biomass response to long term exposure to 1C. Water Res. 2014, 49, 215-224. (27) Adrados, B.; Sánchez, O.; Arias, C. A.; Becares, E.; Garrido, L.; Mas, J.; Brix, H.Morató, J. Microbial communities from different types of natural wastewater treatment systems: Vertical and horizontal flow constructed wetlands and biofilters. Water Res. 2014, 55, 304-312. (28) Lemaire, R.; Meyer, R.; Taske, A.; Crocetti, G. R.; Keller, J.Yuan, Z. Identifying causes for N2O accumulation in a lab-scale sequencing batch reactor performing simultaneous nitrification, denitrification and phosphorus removal. J. Biotechnol. 2006, 122, 62-72.

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Tables

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Tab. 1. Similarity-based OTUs and species richness and diversity estimates for microbial

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communities in SBR at different CuO NPs concentrations.

CuO NPs concentrations (mg/L)

OTUsa

Coverageb

Chaoc

Acec

Shannond

Simpsond

R1 (0)

2579

0.996

23597.12

53929.31

3.93

0.11

R2 (5)

2257

0.995

19908.92

44721.42

4.21

0.08

R3 (20)

2139

0.996

16372.78

32305.17

3.76

0.12

R4 (50)

1824

0.996

15704.21

31641.58

2.91

0.28

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a

OTUs: operational taxonomic units.

513

b

Coverage: estimates the possibility that the next read will belong to a specific OTU.

514

c

Chao/Ace diversity estimator: the total amount of OTUs estimated by infinite sampling. A higher

515

number reflects more diversity.

516

d

517

represents higher richness.

Shannon/Simpson richness index: an index to characterize species richness. A higher level

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For Table of Contents Only

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Fig. 1. The effects of CuO NPs on the removal of (a) COD (solide) and NH4+-N (hollow), (b) TN, (c) TP, (d) MLVSS, (e) SVI, (f) granule size in the AGS reactors. 85x106mm (300 x 300 DPI)

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Fig. 2a. Effects of CuO NPs on the variations of (a) NH4+-N (color) and NO2--N (black), (b) TP (color) and NO3--N (black) during one cycle after long-term (90d) exposure. Error bars represent standard deviations of triplicate measurements. 85x59mm (300 x 300 DPI)

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Fig. 2b. Effects of CuO NPs on the variations of (a) NH4+-N (color) and NO2--N (black), (b) TP (color) and NO3--N (black) during one cycle after long-term (90d) exposure. Error bars represent standard deviations of triplicate measurements. 85x61mm (300 x 300 DPI)

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Fig. 3a. Microbial enzymatic activities of AGS at different CuO NPs concentrations. (a) AMO, NOR, NR and NIR; (b) PPK and PPX. Asterisks indicate statistical differences (p