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Tipper HJ, Stanton IC, Payne RA, Read DS, Singer AC. Do storm overflows influence AMR in the environment and is this relevant to human health? A UK perspective on a global issue. WATER RESEARCH 2024; 260:121952. [PMID: 38906083 DOI: 10.1016/j.watres.2024.121952] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/19/2024] [Revised: 06/14/2024] [Accepted: 06/15/2024] [Indexed: 06/23/2024]
Abstract
Antimicrobial resistance (AMR) is a global public health threat, and the environment has been identified as an important reservoir for resistant microorganisms and genes. Storm overflows (SOs) discharge wastewater and stormwater, and are found throughout many wastewater networks. While there are no data currently showing the impact of SOs on the environment with respect to AMR in the UK, there is a small but growing body of evidence globally highlighting the potential role of SOs on environmental AMR. This review aims to provide an overview of the current state of SOs, describe global data investigating the impact of SOs on environmental AMR, and discuss the implications of SOs regarding AMR and human health. In addition, the complexities of studying the effects of SOs are discussed and a set of priority research questions and policy interventions to tackle a potentially emerging threat to public health are presented.
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Affiliation(s)
- Holly J Tipper
- UK Centre for Ecology & Hydrology, Wallingford OX10 8BB, England.
| | - Isobel C Stanton
- UK Centre for Ecology & Hydrology, Wallingford OX10 8BB, England
| | - Rachel A Payne
- UK Centre for Ecology & Hydrology, Wallingford OX10 8BB, England
| | - Daniel S Read
- UK Centre for Ecology & Hydrology, Wallingford OX10 8BB, England
| | - Andrew C Singer
- UK Centre for Ecology & Hydrology, Wallingford OX10 8BB, England
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Wang J, Ranjbaran M, Verma MS. Bacteroidales as a fecal contamination indicator in fresh produce industry: A baseline measurement. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2024; 351:119641. [PMID: 38064988 DOI: 10.1016/j.jenvman.2023.119641] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Revised: 11/02/2023] [Accepted: 11/15/2023] [Indexed: 01/14/2024]
Abstract
Foodborne outbreaks caused by fecal contamination of fresh produce represent a serious concern to public health and the economy. As the consumption of fresh produce increases, public health officials and organizations have pushed for improvements in food safety procedures and environmental assessments to reduce the risk of contamination. Visual inspections and the establishment of "buffer zones" between animal feeding operations and producing fields are the current best practices for environmental assessments. However, a generalized distance guideline and visual inspections may not be enough to account for all environmental risk variables. Here, we report a baseline measurement surveying the background Bacteroidales concentration, as a quantitative fecal contamination indicator, in California's Salinas Valley. We collected a total of 1632 samples from two romaine lettuce commercial fields at the time of harvesting through two seasons in a year. The quantification of Bacteroidales concentration was performed using qPCR, revealing a notably low concentration (0-2.00 copies/cm2) in the commercial fields. To further enhance the applicability of our findings, we developed a user-friendly method for real-world fecal contamination risk assessment that seamlessly integrates with industry practices. Through the generation of heatmaps that visually illustrate varying risk levels across fields, this approach can identify site-specific risks and offer fresh produce stakeholders a more comprehensive understanding of their land. We anticipate this work can encourage the use of Bacteroidales in the fresh produce industry to monitor fecal contamination and prevent future foodborne outbreaks.
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Affiliation(s)
- Jiangshan Wang
- Department of Agricultural and Biological Engineering, Purdue University, West Lafayette, IN, 47907, USA; Birck Nanotechnology Center, Purdue University, West Lafayette, IN, 47907, USA
| | - Mohsen Ranjbaran
- Department of Agricultural and Biological Engineering, Purdue University, West Lafayette, IN, 47907, USA; Birck Nanotechnology Center, Purdue University, West Lafayette, IN, 47907, USA
| | - Mohit S Verma
- Department of Agricultural and Biological Engineering, Purdue University, West Lafayette, IN, 47907, USA; Birck Nanotechnology Center, Purdue University, West Lafayette, IN, 47907, USA; Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, 47907, USA.
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Chen Y, Shi X, Jin X, Jin P. Characteristics of overflow pollution from combined sewer sediment: Formation, contribution and regulation. CHEMOSPHERE 2022; 298:134254. [PMID: 35278453 DOI: 10.1016/j.chemosphere.2022.134254] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/04/2021] [Revised: 01/26/2022] [Accepted: 03/05/2022] [Indexed: 06/14/2023]
Abstract
Sewer sediments contain high concentrations of carbon, nitrogen, and phosphorus pollutants, which can be the main source of overflow pollution due to high-velocity scouring. To elucidate the scouring overflow pollution characteristics and regulation mechanism of sewer sediment under different precipitation intensities, a sewer-storage tank linkage control experimental device was established to simulate the practical sewer overflow under different precipitation intensities and the control process of storage tank overflow pollutants. Based on the division of flow from small to large, the pollution characteristics of overflow pollutants and the contribution rate of sewer sediments to overflow pollutants were analysed. The results showed that the total load of overflow pollutants increased with an increase in rainfall intensity and were 7.58 kg, 16.54 kg, 27.42 kg, respectively. The concentration of particulate pollutants increased sharply in a short time, and the concentration of dissolved pollutants decreased at a certain dilution. Sewer sediment was the main source of overflow pollutants, contributing up to 70%. After the overflow pollutants entered the regulation and storage tank, a certain stratification phenomenon was discovered at different sedimentation times. The concentration of large particle pollutants gradually increased from top to bottom in the regulation and storage tank, and the concentration of dissolved pollutants showed no obvious difference between the layers. With an increase in rainfall intensity, the recommended regulation and storage times of overflow pollutants were within 15 min, 45-60 min, and 60 min, respectively. Finally, based on the relationship among rainfall intensity, sediment scouring thickness, regulation and storage time, a prediction formula for the regulation and storage time of overflow pollutants was obtained, which provided a basis for the regulation and treatment of subsequent overflow pollutants.
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Affiliation(s)
- Yaxin Chen
- School of Environmental and Municipal Engineering, Xi'an University of Architecture and Technology, Xi'an, Shaanxi Province, 710055, China
| | - Xuan Shi
- School of Environmental and Municipal Engineering, Xi'an University of Architecture and Technology, Xi'an, Shaanxi Province, 710055, China; School of Human Settlements and Civil Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi Province 710049, China
| | - Xin Jin
- School of Environmental and Municipal Engineering, Xi'an University of Architecture and Technology, Xi'an, Shaanxi Province, 710055, China; School of Human Settlements and Civil Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi Province 710049, China
| | - Pengkang Jin
- School of Environmental and Municipal Engineering, Xi'an University of Architecture and Technology, Xi'an, Shaanxi Province, 710055, China; School of Human Settlements and Civil Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi Province 710049, China.
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Zhang J, Yu D, Dian L, Hai Y, Xin Y, Wei Y. Metagenomics insights into the profiles of antibiotic resistome in combined sewage overflows from reads to metagenome assembly genomes. JOURNAL OF HAZARDOUS MATERIALS 2022; 429:128277. [PMID: 35074753 DOI: 10.1016/j.jhazmat.2022.128277] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/09/2021] [Revised: 01/03/2022] [Accepted: 01/12/2022] [Indexed: 06/14/2023]
Abstract
Combined sewage overflows (CSOs) have become an important source of antibiotic resistance genes (ARGs) in the environment, while the distribution and dynamics of antibiotic resistome in the CSOs events have not been well understood. This study deciphered the profiles of antibiotic resitome in the CSOs based on metagenomics analysis from reads to metagenome assembly genomes (MAGs), and the dynamical changes of ARGs were clarified through continuous monitoring of the CSO event. Results showed that antibiotic inactivation was the dominant resistance mechanism, and sulfonamide, aminoglycoside along with multidrug resistance were the dominant antibiotic resistance types. It was speculated that the antibiotic resistome were generally determined by sewer sediment flushed out along with the CSOs not domestic sewage in the pipes. The host range and mobility of the antibiotic resistome were determined at contigs level, and the hosts mainly belonged to the Proteobacteria with the genus of Pseudomonas, Escherichia, Enterobacter and Aeromonas being dominant. The transposase (tnpA), IS91 and integrons were mobile genetic elements (MGEs) located together with ARGs, and a MAG carrying 32 ARGs and 140 VFGs was assembled. Although microbial community contributed most to the changes of antibiotic resistome in the CSOs directly, the risks caused by the MGEs should be paid more attention.
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Affiliation(s)
- Junya Zhang
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; Laboratory of Water Pollution Control Technology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; University of Chinese Academy of Sciences, Beijing 100049, China.
| | - Dawei Yu
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; Laboratory of Water Pollution Control Technology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Liu Dian
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; Laboratory of Water Pollution Control Technology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yonglong Hai
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; Laboratory of Water Pollution Control Technology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yuan Xin
- College of Life Science and Technology, Guangxi University, Nanning 530005, Guangxi, China
| | - Yuansong Wei
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; Laboratory of Water Pollution Control Technology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; University of Chinese Academy of Sciences, Beijing 100049, China.
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