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조회417

이지영Jiyoung Lee

The Ohio State University

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Water Res., Jun 03 2024, 259 S0043-1354(24)00774-7 | https://doi.org/10.1016/j.watres.2024.121873 Longitudinal Analysis of Urban Stormwater Microbiome and Resistome from Watersheds with and without Green Infrastructure using Long-Read Sequencing

Molly Mills ^a, Angela Davis ^b,§, Emma Lancaster ^b, Boseung Choi ^c, Jay Martin ^b,d,e, Ryan Winston^d,f, Jiyoung Lee ^a,g,h

^aDivision of Environmental Health Sciences, College of Public Health, The Ohio State University, Columbus, OH, USA

^bEnvironmental Sciences Graduate Program, The Ohio State University, Columbus, OH, USA

^cDivision of Big Data Science, Korea University, Sejong, Republic of Korea

^dDepartment of Food, Agricultural and Biological Engineering, The Ohio State University, Columbus, OH, USA

^eSustainability Institute, The Ohio State University, Columbus, OH, USA

^fDepartment of Civil, Environmental, and Geodetic Engineering, The Ohio State University, Columbus, OH, USA

^gDepartment of Food Science & Technology, The Ohio State University, Columbus, OH, USA

^hInfectious Diseases Institute, The Ohio State University, Columbus, OH, USA

^§Current address: Office of Groundwater & Drinking Water, Office of Water, United States Environmental Protection Agency, Washington DC, USA.

Corresponding author : Jiyoung Lee

Abstract

Since stormwater conveys a variety of contaminants into water bodies, green infrastructure (GI) is increasingly being adopted as an on-site treatment solution in addition to controlling peak flows. The purpose of this study was to identify differences in microbial water quality of stormwater in watersheds retrofitted with GI vs. those without GI. Considering stormwater is recently recognized as a contributor to the antibiotic resistance (AR) threat, another goal of this study was to characterize changes in the microbiome and collection of AR genes (resistome) of urban stormwater with season, rainfall characteristics, and fecal contamination. MinION long-read sequencing was used to analyze stormwater microbiome and resistome from watersheds with and without GI in Columbus, Ohio, United States, over 18 months. We characterized fecal contamination in stormwater via culturing Escherichia coli and with molecular microbial source tracking (MST) to identify sources of fecal contamination. Overall, season and storm event (rainfall) characteristics had the strongest relationships with changes in the stormwater microbiome and resistome. We found no significant differences in microbial water quality or the microbiome of stormwater in watersheds with and without GI implemented. However, there were differences between the communities of microorganisms hosting antibiotic resistance genes (ARGs) in stormwater from watersheds with and without GI, indicating the potential sensitivity of AR bacteria to treatment. Stormwater was contaminated with high concentrations of human-associated fecal bacterial genes, and the ARG host bacterial community had considerable similarities to human feces/wastewater. We also identified 15 potential pathogens hosting ARGs in these stormwater resistome, including vancomycin-resistant Enterococcus faecium (VRE) and multidrug-resistant Pseudomonas aeruginosa. In summary, urban stormwater is highly contaminated and has a great potential to spread AR and microbial hazards to nearby environments. This study presents the most comprehensive analysis of stormwater microbiome and resistome to date, which is crucial to understanding the potential microbial risk from this matrix. This information can be used to guide future public health policy, stormwater reuse programs, and urban runoff treatment initiatives.

논문정보

형식Research article
게재일2024년 06월 (BRIC 등록일 2024-06-13)
연구진국내+국외 연구진
분야 바이오·의료융합 > 바이오·의료융합 기타

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