Evaluating Antibiotic Resistance Gene Correlations with Antibiotic

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Environmental Processes

Evaluating Antibiotic Resistance Gene Correlations with Antibiotic Exposure Conditions in Anaerobic Membrane Bioreactors Ali Zarei-Baygi, Moustapha Harb, Phillip Wang, Lauren B. Stadler, and Adam Smith Environ. Sci. Technol., Just Accepted Manuscript • DOI: 10.1021/acs.est.9b00798 • Publication Date (Web): 27 Feb 2019 Downloaded from http://pubs.acs.org on February 28, 2019

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Environmental Science & Technology

Evaluating Antibiotic Resistance Gene Correlations with Antibiotic Exposure Conditions in Anaerobic Membrane Bioreactors Ali Zarei-Baygi*, Moustapha Harb*, Phillip Wang*, Lauren Stadler^, and Adam L. Smith*† * Astani Department of Civil and Environmental Engineering, University of Southern California, 3620 South Vermont Avenue, Los Angeles, CA 90089, USA ^ Department of Civil and Environmental Engineering, Rice University, 6100 Main Street, Houston, TX 77005, USA †Corresponding

author (Adam L. Smith) Phone: +1 213.740.0473 Email: [email protected]

Key words: anaerobic digestion; membrane bioreactor; antibiotic resistance genes

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Abstract

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Anaerobic membrane bioreactors (AnMBRs) are an emerging technology with potential to improve energy efficiency and effluent reuse of mainstream wastewater treatment. However, their contribution to the proliferation of contaminants of emerging concern, such as antibiotic resistance genes (ARGs), remains largely unknown. The purpose of this study was to determine the effect of select influent antibiotics at varying concentrations on the presence and abundance of ARGs in an AnMBR system and its effluent. Quantification of targeted ARGs revealed distinct profiles in biomass and effluent, with genes conferring resistance to different antibiotic classes dominating in biomass (macrolides) and effluent (sulfonamides). Effluent sul1 gene abundance was strongly correlated with abundance of intl1, signifying the potential importance of mobile genetic elements in ARG release from AnMBR systems. The addition of specific antibiotics also affected normalized abundances of their related ARGs, exemplifying the potential impact of selective pressures at both low (10 µg/L) and high (250 µg/L) influent antibiotic concentrations.

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TOC Art

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1. Introduction

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Despite the longstanding benefits of antibiotic use for the treatment of infectious diseases, their unwanted persistence in wastewater has intensified antibiotic resistance in natural microbial communities.1-3 Approximately 23,000 deaths in the US and 25,000 in Europe have been attributed to antibiotic resistant bacteria (ARB), along with approximately $1 billion and $1.5 billion in annual healthcare costs, respectively.4, 5 Reports have linked antibiotic loading from hospitals and farms to increases in resistance within downstream surface water, soil, and groundwater.6 Water reuse (a more common practice given persistent water scarcity) elevates such threats by reducing buffers between wastewater and potential human exposure.7 These circumstances have created a sense of urgency worldwide, with antibiotic resistance cited as one of the most critical human health risks.4 Moreover, sensitive (nonresistant) bacteria can acquire resistance mechanisms from ARB via the horizontal exchange of mobile genetic elements (MGEs) containing antibiotic resistance genes (ARGs; e.g., plasmids, integrons, and transposons).4

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Wastewater treatment systems (both municipal and agricultural) are the primary gateway for antibiotic release to the environment.6 The high density of microorganisms in these systems promotes antibiotic resistance proliferation via vertical and horizontal gene transfer when exposed to sub-lethal levels of antibiotics.8, 9 Studies have demonstrated that higher solids 2 ACS Paragon Plus Environment

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retention times (SRTs) increase ARG abundance in activated sludge of both membrane-based and conventional treatment processes.10-12 Further, studies have evaluated various antibiotic types relative to abundance of their associated ARG, with some showing positive correlations and others showing negative correlations or none at all.13-15

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Anaerobic treatment remains significantly understudied with respect to antibiotic resistance.16 Anaerobic membrane bioreactors (AnMBRs) are emerging as the forefront anaerobic technology for mainstream treatment, promoting both energy recovery and agricultural effluent reuse while achieving similar treatment performance to aerobic processes at a range of operational temperatures.17, 18 Theoretically, AnMBRs can lessen the spread of antibiotic resistance by minimizing excess sludge production due to the significantly lower yields of anaerobic microorganisms relative to their aerobic counterparts in activated sludge. Although this inherently results in extended SRTs (shown to increase ARG abundance in aerobic biomass), longer SRTs in anaerobic systems may reduce ARG presence.19, 20

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Few studies have evaluated AnMBRs for their ARB and ARG reduction capacity. Notably, recent work by Kappell et al. exhibited log removal values of greater than 3.5 for sul1, ermB, and tetO during AnMBR treatment of primary clarifier effluent.21 Further, recent work by Cheng et al. showed that both ARB and ARG removal was significantly improved by subcritical membrane fouling in an AnMBR, implying that membrane biofilms may play an integral role in their reduction.22 However, no studies to date have systematically considered the presence and concentration of specific antibiotics on ARG or ARB abundances in AnMBR biomass and effluent, despite their observed correlations in other wastewater systems. Further, antibiotic concentration is of particular relevance for evaluating system applicability to different wastewater source types (e.g., domestic vs. hospital wastewater). In the present study, ARGs and ARB were quantified in an AnMBR system across varying influent antibiotic concentrations for three different antibiotic types.

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2. Materials and methods 2.1.

Bench-scale anaerobic membrane bioreactor operation

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A bench-scale AnMBR consisting of a 5 L working-volume continuously stirred tank reactor (CSTR) (Chemglass Life Science, Vineland, NJ) was operated at 25 °C. Three separate membrane housings were submerged in the reactor, each including a flat-sheet silicon carbide (ceramic) microfiltration membrane (Cembrane, Denmark) with 0.1 µm pore size. The effective membrane area of each module was approximately 0.015 m2. The AnMBR was inoculated with sludge from a mesophilic anaerobic digester at the Joint Water Pollution Control Plant (Carson, CA). AnMBR influent was a synthetic wastewater (Table S1) representative of domestic wastewater in the US.23 The use of synthetic wastewater in this study allowed for the direct control and observation of specific antibiotic addition without the incidental influence of background antibiotic, ARB, or ARG occurrence.

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After steady AnMBR performance was reached, defined as consistently low effluent COD (60%) over at least 10 days of operation, three antibiotics including sulfamethoxazole (sulfonamide), erythromycin (macrolide), and ampicillin (β-lactam), were added to the influent in independent sequential phases at incremental concentrations of 10, 50, and 250 µg/L (10 days at each concentration) to represent typical antibiotic level ranges in domestic and hospital wastewater discharges.24, 25 Before each 3 ACS Paragon Plus Environment

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antibiotic phase, membrane modules were removed for physical and chemical cleaning using 0.5% (v/v) NaOCl solution to prevent membrane fouling from influencing observations between phases (details provided in SI). After membrane cleaning, the AnMBR was operated for one week prior to commencement of the next antibiotic phase. Details regarding AnMBR operation and performance analysis methods are provided in the Supporting Information (SI).

2.2.

Antibiotic Quantification

All antibiotics were obtained from Sigma-Aldrich (>99% purity). Quantification of antibiotics was achieved using matrix-matched external calibration to correct for any suppression or enhancement effects of the influent and effluent sample matrices. Sample antibiotic concentrations were analyzed by direct injection liquid chromatography mass spectrometry with electrospray ionization (LC-ESI-MS) on a 6560 Ion Mobility Quadrupole Time-of-Flight (IM-QTOF) LC-MS system (Agilent) using 1290 Infinity UHPLC, Dual Agilent Jet Stream (ASJ) ESI, and EclipsePlus C18 column (2.1mm; 50 mm; 1.8um). Method detection limits (MDLs) and practical quantitation limits (PQL) for each targeted compound were estimated using minimum signal to noise ratios of 3:1 and 10:1, respectively. PQLs were 0.7 or ρ < -0.7 for strong correlation and 0.3 < ρ < 0.7 or -0.7 < ρ < -0.3 for weak correlation. The analysis was carried out for biomass and effluent separately.

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3. Results and discussion

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3.1.

AnMBR performance and antibiotic removal was robust

throughout operation Chemical oxygen demand (COD) removal in the AnMBR averaged 933.1% throughout operation resulting in an effluent COD of 3517 mg/L. Mixed liquor suspended solids (MLSS) and mixed liquor volatile suspended solids (MLVSS) concentrations were relatively constant at 8.20.5 g/L and 6.60.5 g/L, respectively. Average biogas production was 72639 mL/d with an average methane content of 76.45.7%. Membrane performance was consistent throughout the experiment with an effective transmembrane flux of 7 L/m2/h and transmembrane pressure of