1
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Amábile-Cuevas CF, Lund-Zaina S. Non-Canonical Aspects of Antibiotics and Antibiotic Resistance. Antibiotics (Basel) 2024; 13:565. [PMID: 38927231 PMCID: PMC11200725 DOI: 10.3390/antibiotics13060565] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2024] [Revised: 05/09/2024] [Accepted: 05/29/2024] [Indexed: 06/28/2024] Open
Abstract
The understanding of antibiotic resistance, one of the major health threats of our time, is mostly based on dated and incomplete notions, especially in clinical contexts. The "canonical" mechanisms of action and pharmacodynamics of antibiotics, as well as the methods used to assess their activity upon bacteria, have not changed in decades; the same applies to the definition, acquisition, selective pressures, and drivers of resistance. As a consequence, the strategies to improve antibiotic usage and overcome resistance have ultimately failed. This review gathers most of the "non-canonical" notions on antibiotics and resistance: from the alternative mechanisms of action of antibiotics and the limitations of susceptibility testing to the wide variety of selective pressures, lateral gene transfer mechanisms, ubiquity, and societal factors maintaining resistance. Only by having a "big picture" view of the problem can adequate strategies to harness resistance be devised. These strategies must be global, addressing the many aspects that drive the increasing prevalence of resistant bacteria aside from the clinical use of antibiotics.
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Affiliation(s)
| | - Sofia Lund-Zaina
- Department of Public Health, University of Southern Denmark, Campusvej 55, 5230 Odense, Denmark
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2
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Abstract
Antibiotic resistance genes predate the therapeutic uses of antibiotics. However, the current antimicrobial resistance crisis stems from our extensive use of antibiotics and the generation of environmental stressors that impose new selective pressure on microbes and drive the evolution of resistant pathogens that now threaten human health. Similar to climate change, this global threat results from human activities that change habitats and natural microbiomes, which in turn interact with human-associated ecosystems and lead to adverse impacts on human health. Human activities that alter our planet at global scales exacerbate the current resistance crisis and exemplify our central role in large-scale changes in which we are both protagonists and architects of our success but also casualties of unanticipated collateral outcomes. As cognizant participants in this ongoing planetary experiment, we are driven to understand and find strategies to curb the ongoing crises of resistance and climate change.
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Affiliation(s)
- María Mercedes Zambrano
- Corpogen Research Center, Bogotá, Colombia;
- Dirección de Investigaciones y Transferencia de Conocimiento, Universidad Central, Bogotá, Colombia
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3
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Yang T, Wang X, Hui X, Jiang L, Bi X, Ng HY, Zheng X, Huang S, Jiang B, Zhou X. Antibiotic resistome associated with inhalable bioaerosols from wastewater to atmosphere: Mobility, bacterial hosts, source contributions and resistome risk. WATER RESEARCH 2023; 243:120403. [PMID: 37506636 DOI: 10.1016/j.watres.2023.120403] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Revised: 06/12/2023] [Accepted: 07/23/2023] [Indexed: 07/30/2023]
Abstract
Antibiotic resistome can be carried by the bioaerosols and propagate from wastewater treatment plants (WWTPs) to the atmosphere, but questions remain regarding their mobility, bacterial hosts, source, and resistome risk. Here, fine particulate matter (PM2.5) was collected within and around a large WWTP and analyzed by the metagenomic assembly and binning. PM2.5 was discovered with increasing enrichment of total antibiotic resistance genes (ARGs), potentially mobile ARGs, and antibiotic-resistant bacteria (ARB) along the WWTP-downwind-upwind gradient. Some ARGs were found to be flanked by certain mobile genetic elements and generally mediated by plasmids in WWTP-PM2.5. Totally, 198 metagenome assembled genomes assigning to seven phyla were identified as the ARB, and a contig-based analysis indicated that 32 pathogens were revealed harboring at least two ARGs. Despite disparate aerosolization potentials of ARGs or ARB at different WWTP units, high resistome risks were found, along with the dominant contribution of wastewater for airborne ARGs (44.79-62.82%) and ARB (35.03-40.10%). Among the detected WWTP matrices, the sludge dewatering room was characterized by the highest resistome risk associated with PM2.5. This study underscores the dispersion of ARGs and ARB from WWTPs to the atmosphere and provides a reference for managing risks of antibiotic resistance.
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Affiliation(s)
- Tang Yang
- School of Environmental and Municipal Engineering, Qingdao University of Technology, Qingdao 266033, PR China.
| | - Xuyi Wang
- School of Environmental and Municipal Engineering, Qingdao University of Technology, Qingdao 266033, PR China
| | - Xiaoliang Hui
- School of Environmental and Municipal Engineering, Qingdao University of Technology, Qingdao 266033, PR China
| | - Lu Jiang
- College of Oceanic and Atmospheric Sciences, Ocean University of China, Qingdao 266100, PR China
| | - Xuejun Bi
- School of Environmental and Municipal Engineering, Qingdao University of Technology, Qingdao 266033, PR China
| | - How Yong Ng
- Center for Water Research, Advanced Institute of Natural Sciences, Beijing Normal University at Zhuhai, 519087, PR China
| | - Xiang Zheng
- School of Environment & Natural Resources, Renmin University of China, Beijing 100872, PR China
| | - Shujuan Huang
- School of Environmental and Municipal Engineering, Qingdao University of Technology, Qingdao 266033, PR China
| | - Bo Jiang
- School of Environmental and Municipal Engineering, Qingdao University of Technology, Qingdao 266033, PR China
| | - Xiaolin Zhou
- School of Environmental and Municipal Engineering, Qingdao University of Technology, Qingdao 266033, PR China
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4
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Yin X, Chen X, Jiang XT, Yang Y, Li B, Shum MHH, Lam TTY, Leung GM, Rose J, Sanchez-Cid C, Vogel TM, Walsh F, Berendonk TU, Midega J, Uchea C, Frigon D, Wright GD, Bezuidenhout C, Picão RC, Ahammad SZ, Nielsen PH, Hugenholtz P, Ashbolt NJ, Corno G, Fatta-Kassinos D, Bürgmann H, Schmitt H, Cha CJ, Pruden A, Smalla K, Cytryn E, Zhang Y, Yang M, Zhu YG, Dechesne A, Smets BF, Graham DW, Gillings MR, Gaze WH, Manaia CM, van Loosdrecht MCM, Alvarez PJJ, Blaser MJ, Tiedje JM, Topp E, Zhang T. Toward a Universal Unit for Quantification of Antibiotic Resistance Genes in Environmental Samples. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2023. [PMID: 37310875 DOI: 10.1021/acs.est.3c00159] [Citation(s) in RCA: 21] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Surveillance of antibiotic resistance genes (ARGs) has been increasingly conducted in environmental sectors to complement the surveys in human and animal sectors under the "One-Health" framework. However, there are substantial challenges in comparing and synthesizing the results of multiple studies that employ different test methods and approaches in bioinformatic analysis. In this article, we consider the commonly used quantification units (ARG copy per cell, ARG copy per genome, ARG density, ARG copy per 16S rRNA gene, RPKM, coverage, PPM, etc.) for profiling ARGs and suggest a universal unit (ARG copy per cell) for reporting such biological measurements of samples and improving the comparability of different surveillance efforts.
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Affiliation(s)
- Xiaole Yin
- Environmental Microbiome Engineering and Biotechnology Laboratory, Center for Environmental Engineering Research, Department of Civil Engineering, The University of Hong Kong, Pokfulam, 99077 Hong Kong, China
| | - Xi Chen
- Environmental Microbiome Engineering and Biotechnology Laboratory, Center for Environmental Engineering Research, Department of Civil Engineering, The University of Hong Kong, Pokfulam, 99077 Hong Kong, China
| | - Xiao-Tao Jiang
- Microbiome Research Centre, St George and Sutherland Clinical School, University of New South Wales, 2052 Sydney, Australia
| | - Ying Yang
- School of Marine Sciences, Sun Yat-sen University, 519082 Zhuhai, China
| | - Bing Li
- State Environmental Protection Key Laboratory of Microorganism Application and Risk Control, Tsinghua Shenzhen International Graduate School, Tsinghua University, F518055 Shenzhen, China
| | - Marcus Ho-Hin Shum
- State Key Laboratory of Emerging Infectious Diseases, School of Public Health, The University of Hong Kong, Pokfulam, 999077 Hong Kong, China
| | - Tommy T Y Lam
- State Key Laboratory of Emerging Infectious Diseases, School of Public Health, The University of Hong Kong, Pokfulam, 999077 Hong Kong, China
| | - Gabriel M Leung
- Laboratory of Data Discovery for Health, Hong Kong Science & Technology Parks, New Territories, 99077 Hong Kong, China
| | - Joan Rose
- Department of Fisheries and Wildlife, Michigan State University, East Lansing, 48824 Michigan, United States
| | - Concepcion Sanchez-Cid
- Environmental Microbial Genomics, CNRS UMR 5005 Laboratoire Ampère, École Centrale de Lyon, Université Claude Bernard Lyon1, Université de Lyon, 69130 Écully, France
| | - Timothy M Vogel
- Environmental Microbial Genomics, CNRS UMR 5005 Laboratoire Ampère, École Centrale de Lyon, Université Claude Bernard Lyon1, Université de Lyon, 69130 Écully, France
| | - Fiona Walsh
- Department of Biology, Maynooth University, Maynooth, R51 Co. Kildare, Ireland
| | - Thomas U Berendonk
- Faculty of Environmental Sciences, Technische Universität Dresden, Institute for Hydrobiology, 01217 Dresden, Germany
| | | | | | - Dominic Frigon
- Department of Civil Engineering and Applied Mechanics, McGill University, 817 Sherbrooke St. West, Montreal, H3A 0C3 Quebec, Canada
| | - Gerard D Wright
- Michael G. DeGroote Institute for Infectious Disease Research, McMaster University, Hamilton, L8N 3Z5 Ontario, Canada
| | - Carlos Bezuidenhout
- Unit for Environmental Sciences and Management (UESM)-Microbiology, North-West University, 2531 Potchefstroom, South Africa
| | - Renata C Picão
- Medical Microbiology Department, Paulo de Góes Microbiology Institute of the Federal University of Rio de Janeiro, 21941-902 Rio de Janeiro, Brazil
| | - Shaikh Z Ahammad
- Department of Biochemical Engineering & Biotechnology, Indian Institute of Technology Delhi, Hauz Khas, 110016 New Delhi, India
| | - Per Halkjær Nielsen
- Center for Microbial Communities, Department of Chemistry and Bioscience, Aalborg University, 9210 Aalborg, Denmark
| | - Philip Hugenholtz
- School of Chemistry and Molecular Biosciences, Australian Centre for Ecogenomics, The University of Queensland, Brisbane, 4072 Queensland, Australia
| | - Nicholas J Ashbolt
- Faculty of Science and Engineering, Southern Cross University, Bilinga, 4225 Queensland, Australia
| | - Gianluca Corno
- Molecular Ecology Group (MEG), Water Research Institute, National Research Council of Italy (CNR-IRSA), 28922 Verbania, Italy
| | - Despo Fatta-Kassinos
- Department of Civil and Environmental Engineering and Nireas International Water Research Center, University of Cyprus, P.O. Box 20537, 1678 Nicosia, Cyprus
| | - Helmut Bürgmann
- Eawag: Swiss Federal Institute of Aquatic Science and Technology, 6047 Kastanienbaum, Switzerland
| | - Heike Schmitt
- Centre for Zoonoses and Environmental Microbiology-Centre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), 3721 Bilthoven, The Netherlands
- Department of Biotechnology, Delft University of Technology, 2628 Delft, the Netherlands
| | - Chang-Jun Cha
- Department of Systems Biotechnology and Center for Antibiotic Resistome, Chung-Ang University, 17546 Anseong, Republic of Korea
| | - Amy Pruden
- The Charles Edward Via, Jr., Department of Civil and Environmental Engineering, Virginia Tech, Blacksburg, 24060 Virginia, United States
| | - Kornelia Smalla
- Julius Kühn Institute (JKI) Federal Research Centre for Cultivated Plants, Institute for Epidemiology and Pathogen Diagnostics, 38104 Braunschweig, Germany
| | - Eddie Cytryn
- Department of Soil Chemistry, Plant Nutrition and Microbiology, Institute of Soil, Water and Environmental Sciences, The Volcani Institute, Agricultural Research Organization, 7528809 Rishon LeZion, Israel
| | - Yu Zhang
- State Key Laboratory of Environmental Aquatic Chemistry, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, 100085 Beijing, China
| | - Min Yang
- State Key Laboratory of Environmental Aquatic Chemistry, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, 100085 Beijing, China
| | - Yong-Guan Zhu
- Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, 361021 Xiamen, China
| | - Arnaud Dechesne
- Department of Environmental and Resource Engineering, Technical University of Denmark, 2800 Lyngby, Denmark
| | - Barth F Smets
- Department of Environmental and Resource Engineering, Technical University of Denmark, 2800 Lyngby, Denmark
| | - David W Graham
- School of Engineering, Newcastle University, NE1 7RU Newcastle Upon Tyne, U.K
| | - Michael R Gillings
- School of Natural Sciences and ARC Centre of Excellence in Synthetic Biology, Macquarie University, Sydney, 2109 New South Wales, Australia
| | - William H Gaze
- University of Exeter Medical School, Environment and Sustainability Institute, University of Exeter, TR10 9FE Cornwall, U.K
| | - Célia M Manaia
- Universidade Católica Portuguesa, CBQF-Centro de Biotecnologia e Química Fina-Laboratório Associado, Escola Superior de Biotecnologia, 4169-005 Porto, Portugal
| | - Mark C M van Loosdrecht
- Department of Biotechnology, Delft University of Technology, van der Maasweg 9, 2629 HZ Delft, the Netherlands
| | - Pedro J J Alvarez
- Department of Civil and Environmental Engineering, Rice University, Houston, 77005 Texas, United States
| | - Martin J Blaser
- Center for Advanced Biotechnology and Medicine, Rutgers University, Piscataway, 08854 New Jersey, United States
| | - James M Tiedje
- Department of Plant, Soil and Microbial Sciences, Michigan State University, East Lansing, 48824 Michigan, United States
| | - Edward Topp
- London Research and Development Centre (LRDC), Agriculture and Agri-Food Canada, London, N5V 4T3 Ontario, Canada
| | - Tong Zhang
- Environmental Microbiome Engineering and Biotechnology Laboratory, Center for Environmental Engineering Research, Department of Civil Engineering, The University of Hong Kong, Pokfulam, 99077 Hong Kong, China
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5
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Yin X, Li L, Chen X, Liu YY, Lam TTY, Topp E, Zhang T. Global environmental resistome: Distinction and connectivity across diverse habitats benchmarked by metagenomic analyses. WATER RESEARCH 2023; 235:119875. [PMID: 36996751 DOI: 10.1016/j.watres.2023.119875] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Revised: 03/09/2023] [Accepted: 03/10/2023] [Indexed: 06/19/2023]
Abstract
The widely distributed antibiotic resistance genes (ARGs) were unevenly proliferated in various habitats. Great endeavors are needed to resolve the resistome features that can differentiate or connect different habitats. This study retrieved a broad spectrum of resistome profiles from 1723 metagenomes categorized into 13 habitats, encompassing industrial, urban, agricultural, and natural environments, and spanning most continents and oceans. The resistome features (ARG types, subtypes, indicator ARGs, and emerging mobilizable ARGs: mcr and tet(X)) in these habitats were benchmarked via a standardized workflow. We found that wastewater and wastewater treatment works were characterized to be reservoirs of more diverse genotypes of ARGs than any other habitats including human and livestock fecal samples, while fecal samples were with higher ARG abundance. Bacterial taxonomy composition was significantly correlated with resistome composition across most habitats. Moreover, the source-sink connectivities were disentangled by developing the resistome-based microbial attribution prediction model. Environmental surveys with standardized bioinformatic workflow proposed in this study will help comprehensively understand the transfer of ARGs in the environment, thus prioritizing the critical environments with high risks for intervention to tackle the problem of ARGs.
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Affiliation(s)
- Xiaole Yin
- Environmental Microbiome Engineering and Biotechnology Laboratory, Department of Civil Engineering, The University of Hong Kong, Hong Kong SAR, China
| | - Liguan Li
- Environmental Microbiome Engineering and Biotechnology Laboratory, Department of Civil Engineering, The University of Hong Kong, Hong Kong SAR, China
| | - Xi Chen
- Environmental Microbiome Engineering and Biotechnology Laboratory, Department of Civil Engineering, The University of Hong Kong, Hong Kong SAR, China
| | - Yang-Yu Liu
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Tommy Tsan-Yuk Lam
- State Key Laboratory of Emerging Infectious Diseases, School of Public Health, The University of Hong Kong, Hong Kong SAR, China; Centre for Immunology & Infection, The Hong Kong Science Park, Hong Kong SAR, China; Laboratory of Data Discovery for Health, The Hong Kong Science Park, Hong Kong SAR, China
| | - Edward Topp
- London Research and Development Centre (LRDC), Agriculture and Agri-Food Canada, London, ON, Canada; Department of Biology, University of Western Ontario, London, ON, Canada
| | - Tong Zhang
- Environmental Microbiome Engineering and Biotechnology Laboratory, Department of Civil Engineering, The University of Hong Kong, Hong Kong SAR, China; Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Macau SAR, China.
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6
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Pradier L, Bedhomme S. Ecology, more than antibiotics consumption, is the major predictor for the global distribution of aminoglycoside-modifying enzymes. eLife 2023; 12:77015. [PMID: 36785930 PMCID: PMC9928423 DOI: 10.7554/elife.77015] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Accepted: 01/24/2023] [Indexed: 02/15/2023] Open
Abstract
Antibiotic consumption and its abuses have been historically and repeatedly pointed out as the major driver of antibiotic resistance emergence and propagation. However, several examples show that resistance may persist despite substantial reductions in antibiotic use, and that other factors are at stake. Here, we study the temporal, spatial, and ecological distribution patterns of aminoglycoside resistance, by screening more than 160,000 publicly available genomes for 27 clusters of genes encoding aminoglycoside-modifying enzymes (AME genes). We find that AME genes display a very ubiquitous pattern: about 25% of sequenced bacteria carry AME genes. These bacteria were sequenced from all the continents (except Antarctica) and terrestrial biomes, and belong to a wide number of phyla. By focusing on European countries between 1997 and 2018, we show that aminoglycoside consumption has little impact on the prevalence of AME-gene-carrying bacteria, whereas most variation in prevalence is observed among biomes. We further analyze the resemblance of resistome compositions across biomes: soil, wildlife, and human samples appear to be central to understand the exchanges of AME genes between different ecological contexts. Together, these results support the idea that interventional strategies based on reducing antibiotic use should be complemented by a stronger control of exchanges, especially between ecosystems.
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Affiliation(s)
- Léa Pradier
- CEFE, CNRS, Univ Montpellier, EPHE, IRD, Montpellier, France
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7
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Su Z, Wen D, Gu AZ, Zheng Y, Tang Y, Chen L. Industrial effluents boosted antibiotic resistome risk in coastal environments. ENVIRONMENT INTERNATIONAL 2023; 171:107714. [PMID: 36571993 DOI: 10.1016/j.envint.2022.107714] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Revised: 11/24/2022] [Accepted: 12/21/2022] [Indexed: 06/17/2023]
Abstract
Wastewater treatment plants (WWTPs) have been regarded as an important source of antibiotic resistance genes (ARGs) in environment, but out of municipal domestic WWTPs, few evidences show how environment is affected by industrial WWTPs. Here we chose Hangzhou Bay (HZB), China as our study area, where land-based municipal and industrial WWTPs discharged their effluent into the bay for decades. We adopted high-throughput metagenomic sequencing to examine the antibiotic resistome of the WWTP effluent and coastal sediment samples. And we proposed a conceptual framework for the assessment of antibiotic resistome risk, and a new bioinformatic pipeline for the evaluation of the potential horizontal gene transfer (HGT) frequency. Our results revealed that the diversity and abundance of ARGs in the WWTP's effluent were significantly higher than those in the sediment. Furthermore, the antibiotic resistome in the effluent-receiving area (ERA) showed significant difference from that in HZB. For the first time, we identified that industrial WWTP effluent boosted antibiotic resistome risk in coastal sediment. The crucial evidences included: 1) the proportion of ARGs derived from WWTP activated sludge (WA) was higher (14.3 %) and two high-risky polymyxin resistance genes (mcr-4 and mcr-5) were enriched in the industrial effluent receiving area; 2) the HGT potential was higher between resistant microbiome of the industrial effluent and its ERA sediment; and 3) the highest resistome risk was determined in the industrial effluent, and some biocide resistance genes located on high-risky contigs were related to long-term stress of industrial chemicals. These findings highlight the important effects of industrial activities on the development of environmental antimicrobial resistance.
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Affiliation(s)
- Zhiguo Su
- School of Environment, Tsinghua University, Beijing 100084, China; College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
| | - Donghui Wen
- College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China.
| | - April Z Gu
- School of Civil and Environmental Engineering, Cornell University, Ithaca, NY 14853, USA
| | - Yuhan Zheng
- College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
| | - Yushi Tang
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, NJ 08544, USA
| | - Lyujun Chen
- School of Environment, Tsinghua University, Beijing 100084, China
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8
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Xie J, Jin L, Wu D, Pruden A, Li X. Inhalable Antibiotic Resistome from Wastewater Treatment Plants to Urban Areas: Bacterial Hosts, Dissemination Risks, and Source Contributions. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2022; 56:7040-7051. [PMID: 35038864 DOI: 10.1021/acs.est.1c07023] [Citation(s) in RCA: 30] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Antibiotic resistance genes (ARGs) are commonly detected in the atmosphere, but questions remain regarding their sources and relative contributions, bacterial hosts, and corresponding human health risks. Here, we conducted a qPCR- and metagenomics-based investigation of inhalable fine particulate matter (PM2.5) at a large wastewater treatment plant (WWTP) and in the ambient air of Hong Kong, together with an in-depth analysis of published data of other potential sources in the area. PM2.5 was observed with increasing enrichment of total ARGs along the coastal-urban-WWTP gradient and clinically relevant ARGs commonly identified in urban and WWTP sites, illustrating anthropogenic impacts on the atmospheric accumulation of ARGs. With certain kinds of putative antibiotic-resistant pathogens detected in urban and WWTP PM2.5, a comparable proportion of ARGs that co-occurred with MGEs was found between the atmosphere and WWTP matrices. Despite similar emission rates of bacteria and ARGs within each WWTP matrix, about 11-13% of the bacteria and >57% of the relevant ARGs in urban and WWTP PM2.5 were attributable to WWTPs. Our study highlights the importance of WWTPs in disseminating bacteria and ARGs to the ambient air from a quantitative perspective and, thus, the need to control potential sources of inhalation exposure to protect the health of urban populations.
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Affiliation(s)
- Jiawen Xie
- Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong SAR, China
- The Hong Kong Polytechnic University Shenzhen Research Institute, Shenzhen 518057, China
| | - Ling Jin
- Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong SAR, China
- The Hong Kong Polytechnic University Shenzhen Research Institute, Shenzhen 518057, China
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong SAR, China
| | - Dong Wu
- Key Laboratory for Urban Ecological Processes and Eco-Restoration, School of Ecological and Environmental Science, East China Normal University, Shanghai 200241, China
| | - Amy Pruden
- Department of Civil & Environmental Engineering, Virginia Tech, Blacksburg, Virginia 24060, United States
| | - Xiangdong Li
- Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong SAR, China
- The Hong Kong Polytechnic University Shenzhen Research Institute, Shenzhen 518057, China
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9
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Zhou G, Tao HB, Wen X, Wang YS, Peng H, Liu HZ, Yang XJ, Huang XM, Shi QS, Xie XB. Metagenomic analysis of microbial communities and antibiotic resistance genes in spoiled household chemicals. CHEMOSPHERE 2022; 291:132766. [PMID: 34740703 DOI: 10.1016/j.chemosphere.2021.132766] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/17/2021] [Revised: 09/26/2021] [Accepted: 10/31/2021] [Indexed: 06/13/2023]
Abstract
Numerous attempts have been utilized to unveil the occurrences of antibiotic resistance genes (ARGs) in human-associated and non-human-associated samples. However, spoiled household chemicals, which are usually neglected by the public, may be also a reservoir of ARGs because of the excessive and inappropriate uses of industrial drugs. Based upon the Comprehensive Antibiotic Research Database, a metagenomic sequencing method was utilized to detect and quantify Antibiotic Resistance Ontology (AROs) in six spoiled household chemicals, including hair conditioner, dishwashing detergent, bath shampoo, hand sanitizer, and laundry detergent. Proteobacteria was found to be the dominant phylum in all the samples. Functional annotation of the unigenes obtained against the KEGG pathway, eggNOG and CAZy databases demonstrated a diversity of their functions. Moreover, 186 types of AROs that were members of 72 drug classes were identified. Multidrug resistance genes were the most dominant types, and there were 17 AROs whose resistance mechanisms were categorized into the resistance-nodulation-cell division antibiotic efflux pump among the top 20 AROs. Moreover, Proteobacteria was the dominant carrier of AROs with the primary resistance mechanism of antibiotic efflux. The maximum temperature of the months of collection significantly affected the distributions of AROs. Additionally, the isolated individual bacterium from spoiled household chemicals and artificial mixed communities of isolated bacteria demonstrated diverse resistant abilities to different biocides. This study demonstrated that there are abundant microorganisms and a broad spectrum profile of AROs in spoiled household chemicals that might induce a severe threat to public healthy securities and merit particular attention.
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Affiliation(s)
- Gang Zhou
- Guangdong Provincial Key Laboratory of Microbial Culture Collection and Application, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou, Guangdong, 510070, People's Republic of China.
| | - Hong-Bing Tao
- Guangdong Dimei Biotechnology Co., Ltd, Guangzhou, Guangdong, 510070, People's Republic of China.
| | - Xia Wen
- Guangdong Provincial Key Laboratory of Microbial Culture Collection and Application, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou, Guangdong, 510070, People's Republic of China.
| | - Ying-Si Wang
- Guangdong Provincial Key Laboratory of Microbial Culture Collection and Application, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou, Guangdong, 510070, People's Republic of China.
| | - Hong Peng
- Guangdong Provincial Key Laboratory of Microbial Culture Collection and Application, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou, Guangdong, 510070, People's Republic of China.
| | - Hui-Zhong Liu
- Guangdong Provincial Key Laboratory of Microbial Culture Collection and Application, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou, Guangdong, 510070, People's Republic of China.
| | - Xiu-Jiang Yang
- Guangdong Dimei Biotechnology Co., Ltd, Guangzhou, Guangdong, 510070, People's Republic of China.
| | - Xiao-Mo Huang
- Guangdong Provincial Key Laboratory of Microbial Culture Collection and Application, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou, Guangdong, 510070, People's Republic of China; Guangdong Dimei Biotechnology Co., Ltd, Guangzhou, Guangdong, 510070, People's Republic of China.
| | - Qing-Shan Shi
- Guangdong Provincial Key Laboratory of Microbial Culture Collection and Application, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou, Guangdong, 510070, People's Republic of China.
| | - Xiao-Bao Xie
- Guangdong Provincial Key Laboratory of Microbial Culture Collection and Application, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou, Guangdong, 510070, People's Republic of China.
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10
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Miłobedzka A, Ferreira C, Vaz-Moreira I, Calderón-Franco D, Gorecki A, Purkrtova S, Dziewit L, Singleton CM, Nielsen PH, Weissbrodt DG, Manaia CM. Monitoring antibiotic resistance genes in wastewater environments: The challenges of filling a gap in the One-Health cycle. JOURNAL OF HAZARDOUS MATERIALS 2022; 424:127407. [PMID: 34629195 DOI: 10.1016/j.jhazmat.2021.127407] [Citation(s) in RCA: 41] [Impact Index Per Article: 20.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Revised: 09/22/2021] [Accepted: 09/29/2021] [Indexed: 05/10/2023]
Abstract
Antibiotic resistance (AR) is a global problem requiring international cooperation and coordinated action. Global monitoring must rely on methods available and comparable across nations to quantify AR occurrence and identify sources and reservoirs, as well as paths of AR dissemination. Numerous analytical tools that are gaining relevance in microbiology, have the potential to be applied to AR research. This review summarizes the state of the art of AR monitoring methods, considering distinct needs, objectives and available resources. Based on the overview of distinct approaches that are used or can be adapted to monitor AR, it is discussed the potential to establish reliable and useful monitoring schemes that can be implemented in distinct contexts. This discussion places the environmental monitoring within the One-Health approach, where two types of risk, dissemination across distinct environmental compartments, and transmission to humans, must be considered. The plethora of methodological approaches to monitor AR and the variable features of the monitored sites challenge the capacity of the scientific community and policy makers to reach a common understanding. However, the dialogue between different methods and the production of action-oriented data is a priority. The review aims to warm up this discussion.
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Affiliation(s)
- Aleksandra Miłobedzka
- Department of Water Technology and Environmental Engineering, University of Chemistry and Technology Prague, Technická 5, 166 28 Prague 6, Czech Republic; Institute of Evolutionary Biology, University of Warsaw, Warsaw, Poland.
| | - Catarina Ferreira
- Universidade Católica Portuguesa, CBQF - Centro de Biotecnologia e Química Fina - Laboratório Associado, Escola Superior de Biotecnologia, Rua Diogo Botelho 1327, 4169-005 Porto, Portugal
| | - Ivone Vaz-Moreira
- Universidade Católica Portuguesa, CBQF - Centro de Biotecnologia e Química Fina - Laboratório Associado, Escola Superior de Biotecnologia, Rua Diogo Botelho 1327, 4169-005 Porto, Portugal
| | | | - Adrian Gorecki
- Department of Environmental Microbiology and Biotechnology, Institute of Microbiology, Faculty of Biology, University of Warsaw, Miecznikowa 1, 02-096 Warsaw, Poland
| | - Sabina Purkrtova
- Department of Biochemistry and Microbiology, Faculty of Food and Biochemical Technology, University of Chemistry and Technology Prague, Technická 5, 166 28 Prague 6, Czech Republic
| | - Lukasz Dziewit
- Department of Environmental Microbiology and Biotechnology, Institute of Microbiology, Faculty of Biology, University of Warsaw, Miecznikowa 1, 02-096 Warsaw, Poland
| | - Caitlin M Singleton
- Department of Chemistry and Bioscience, Center for Microbial Communities, Aalborg University, Aalborg, Denmark
| | - Per Halkjær Nielsen
- Department of Chemistry and Bioscience, Center for Microbial Communities, Aalborg University, Aalborg, Denmark
| | | | - Célia M Manaia
- Universidade Católica Portuguesa, CBQF - Centro de Biotecnologia e Química Fina - Laboratório Associado, Escola Superior de Biotecnologia, Rua Diogo Botelho 1327, 4169-005 Porto, Portugal.
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11
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Kang Y, Xu W, Zhang Y, Tang X, Bai Y, Hu J. Bloom of tetracycline resistance genes in mudflats following fertilization is attributed to the increases in the shared potential hosts between soil and organic fertilizers. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:13292-13304. [PMID: 34585344 DOI: 10.1007/s11356-021-16676-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/26/2021] [Accepted: 09/19/2021] [Indexed: 06/13/2023]
Abstract
A field experiment was carried out in mudflats adjacent to the Yellow Sea, China, amended with sewage sludge and vermicompost by one-time input at different rates to reveal the fates of tetracycline resistance genes (TRGs) and their potential hosts in the soils. Quantitative PCR results showed that soils added with either sludge or vermicompost had more abundant TRGs compared with the non-fertilized soil. This situation was more obvious in sludge fertilized soils especially at high application rates. Vermicompost exhibited a promising outlook for improvement of the mudflats. The abundances of intI1 in the non-fertilized soils were significantly higher than those in fertilizers and fertilized soils. The potential hosts for intI1 were not shared with other TRGs-contained hosts, indicating that intI1 had little effects on the dissemination of TRGs in the mudflats. Moreover, the exclusive hosts for TRGs in fertilizers were not higher than those in the non-fertilized soils, illustrating little effects of fertilization on the introduction of exogenous TRGs into soil. The shared hosts between soil and fertilizers were highest among four possible sources, contributing vastly to the bloom of TRGs following fertilization. It was also shown that different organic fertilizers caused distinct categories of shared potential hosts for TRGs. RDA analysis further indicated that the abundances of the shared potential hosts were affected by soil nutrients. These results suggested that the development of TRGs in soil following fertilization depended on the shared potential hosts with similar ecological niches between soil and fertilizers.
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Affiliation(s)
- Yijun Kang
- Environmental Science & Engineering, Yangzhou University, Yangzhou, Jiangsu, People's Republic of China
- Yancheng Bioengineering Research Center for 'Binhai Bai-shou-wu', Yancheng Teachers University, Yancheng, Jiangsu, People's Republic of China
| | - Wenjie Xu
- Environmental Science & Engineering, Yangzhou University, Yangzhou, Jiangsu, People's Republic of China
| | - Yang Zhang
- Environmental Science & Engineering, Yangzhou University, Yangzhou, Jiangsu, People's Republic of China
| | - Xingyao Tang
- Yancheng Bioengineering Research Center for 'Binhai Bai-shou-wu', Yancheng Teachers University, Yancheng, Jiangsu, People's Republic of China
| | - Yanchao Bai
- Environmental Science & Engineering, Yangzhou University, Yangzhou, Jiangsu, People's Republic of China
| | - Jian Hu
- Environmental Science & Engineering, Yangzhou University, Yangzhou, Jiangsu, People's Republic of China.
- Yancheng Teachers University, 2 South Hope Avenue, Yancheng, Jiangsu, People's Republic of China, 224007.
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12
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Yin X, Yang Y, Deng Y, Huang Y, Li L, Chan LYL, Zhang T. An assessment of resistome and mobilome in wastewater treatment plants through temporal and spatial metagenomic analysis. WATER RESEARCH 2022; 209:117885. [PMID: 34847392 DOI: 10.1016/j.watres.2021.117885] [Citation(s) in RCA: 35] [Impact Index Per Article: 17.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/18/2021] [Revised: 11/16/2021] [Accepted: 11/17/2021] [Indexed: 06/13/2023]
Abstract
Wastewater treatment plants (WWTPs) are regarded as critical points in disseminating antibiotic resistance genes (ARGs). In particular, the discharging effluents from WWTPs generally bring downstream catchment areas exogenous ARGs and resistant bacteria. However, there lacks a sufficient assessment of the resistome and mobilome in effluents. In this study, a consecutive monthly sampling was conducted over 13 months in three Hong Kong (HK) WWTPs for metagenomic sequencing. Prevalence information of ARGs and mobile genetic elements (MGEs) was compared with counterparts in effluents from cities of North America, South America, Europe, and Asia. Moreover, a publicly accessible platform integrating the exposure ranking scheme, which was based on the global archive of ARG abundance, and a readily implementable online pipeline was developed to benefit communication in academia and government consultancy. Results demonstrated HK WWTPs were featured high ARG removal efficiency of 2.34-2.43 log reduction rate, and effluents were ranked in moderate levels of Level 2 and Level 3 in the exposure prioritizing scheme based on total ARG abundance. Moreover, absolute quantification of temporal variations of effluent resistome disclosed distinct changes over time among varied ARG types which were associated with prevalently used antibiotics, including quinolone and sulfonamide. This reinforces the need for real-time management of WWTP systems. Notably, ARGs of anthropogenic prevalence, high mobility, and potential pathogenicity were found to be present in HK effluents, drawing attention to the necessity for improved risk management. In addition, source tracking of effluent resistome and structural equation model analysis was conducted to explore the disparity in ARG abundance and diversity in different samples. The discovery of this study and the recommendation of a comprehensive exposure assessment will facilitate decision-making in resistome management in WWTPs to reduce the ARG and antibiotic resistant bacteria (ARB) contamination in the receiving environments.
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Affiliation(s)
- Xiaole Yin
- Environmental Microbiome Engineering and Biotechnology Laboratory, Center for Environmental Engineering Research, Department of Civil Engineering, The University of Hong Kong, Hong Kong, China
| | - Yu Yang
- Environmental Microbiome Engineering and Biotechnology Laboratory, Center for Environmental Engineering Research, Department of Civil Engineering, The University of Hong Kong, Hong Kong, China
| | - Yu Deng
- Environmental Microbiome Engineering and Biotechnology Laboratory, Center for Environmental Engineering Research, Department of Civil Engineering, The University of Hong Kong, Hong Kong, China
| | - Yue Huang
- Environmental Microbiome Engineering and Biotechnology Laboratory, Center for Environmental Engineering Research, Department of Civil Engineering, The University of Hong Kong, Hong Kong, China
| | - Liguan Li
- Environmental Microbiome Engineering and Biotechnology Laboratory, Center for Environmental Engineering Research, Department of Civil Engineering, The University of Hong Kong, Hong Kong, China
| | - Lilian Y L Chan
- High Performance Computing Team, Information Technology Services, The University of Hong Kong, Hong Kong, China
| | - Tong Zhang
- Environmental Microbiome Engineering and Biotechnology Laboratory, Center for Environmental Engineering Research, Department of Civil Engineering, The University of Hong Kong, Hong Kong, China.
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13
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Howe AC, Soupir ML. Antimicrobial resistance in integrated agroecosystems: State of the science and future opportunities. JOURNAL OF ENVIRONMENTAL QUALITY 2021; 50:1255-1265. [PMID: 34528726 DOI: 10.1002/jeq2.20289] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/21/2021] [Accepted: 09/10/2021] [Indexed: 06/13/2023]
Abstract
As the Journal of Environmental Quality (JEQ) celebrates 50 years of publication, the division of environmental microbiology is one of the newest additions to the journal. During this time, significant advances in understanding of the interconnected microbial community and impact of the microbiome on natural and designed environmental systems have occurred. In this review, we highlight the intractable challenge of antimicrobial resistance (AMR) on humans, animals, and the environment, with particular emphasis on the role of integrated agroecosystems and by highlighting contributions published in JEQ. From early studies of phenotypic resistance of indicator organisms in waters systems to current calls for integrating AMR assessment across "One Health," publications in JEQ have advanced our understanding of AMR. As we reflect on the state of the science, we emphasize future opportunities. First, integration of phenotypic and molecular tools for assessing environmental spread of AMR and human health risk continues to be an urgent research need for a one health approach to AMR. Second, monitoring AMR levels in manure is recommended to understand inputs and potential spread through agroecosystems. Third, baseline knowledge of AMR levels is important to realize the impact of manure inputs on water quality and public health risk; this can be achieved through background monitoring or identifying the source-related genes or organisms. And finally, conservation practices designed to meet nutrient reduction goals should be explored for AMR reduction potential.
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Affiliation(s)
- Adina C Howe
- Dep. of Agricultural and Biosystems Engineering, Iowa State Univ., Ames, IA, 50011, USA
| | - Michelle L Soupir
- Dep. of Agricultural and Biosystems Engineering, Iowa State Univ., Ames, IA, 50011, USA
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14
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Niegowska M, Sanseverino I, Navarro A, Lettieri T. Knowledge gaps in the assessment of antimicrobial resistance in surface waters. FEMS Microbiol Ecol 2021; 97:fiab140. [PMID: 34625810 PMCID: PMC8528692 DOI: 10.1093/femsec/fiab140] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2021] [Accepted: 10/06/2021] [Indexed: 11/26/2022] Open
Abstract
The spread of antibiotic resistance in the water environment has been widely described. However, still many knowledge gaps exist regarding the selection pressure from antibiotics, heavy metals and other substances present in surface waters as a result of anthropogenic activities, as well as the extent and impact of this phenomenon on aquatic organisms and humans. In particular, the relationship between environmental concentrations of antibiotics and the acquisition of ARGs by antibiotic-sensitive bacteria as well as the impact of heavy metals and other selective agents on antimicrobial resistance (AMR) need to be defined. Currently, established safety values are based on the effects of antibiotic toxicity neglecting the question of AMR spread. In turn, risk assessment of antibiotics in waterbodies remains a complex question implicating multiple variables and unknowns reinforced by the lack of harmonized protocols and official guidelines. In the present review, we discussed current state-of-the-art and the knowledge gaps related to pressure exerted by antibiotics and heavy metals on aquatic environments and their relationship to the spread of AMR. Along with this latter, we reflected on (i) the risk assessment in surface waters, (ii) selective pressures contributing to its transfer and propagation and (iii) the advantages of metagenomics in investigating AMR. Furthermore, the role of microplastics in co-selection for metal and antibiotic resistance, together with the need for more studies in freshwater are highlighted.
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Affiliation(s)
- Magdalena Niegowska
- European Commission, Joint Research Centre (JRC), Via Enrico Fermi 2749, 21027 Ispra, Italy
| | - Isabella Sanseverino
- European Commission, Joint Research Centre (JRC), Via Enrico Fermi 2749, 21027 Ispra, Italy
| | - Anna Navarro
- European Commission, Joint Research Centre (JRC), Via Enrico Fermi 2749, 21027 Ispra, Italy
| | - Teresa Lettieri
- European Commission, Joint Research Centre (JRC), Via Enrico Fermi 2749, 21027 Ispra, Italy
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15
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Zhang AN, Gaston JM, Dai CL, Zhao S, Poyet M, Groussin M, Yin X, Li LG, van Loosdrecht MCM, Topp E, Gillings MR, Hanage WP, Tiedje JM, Moniz K, Alm EJ, Zhang T. An omics-based framework for assessing the health risk of antimicrobial resistance genes. Nat Commun 2021; 12:4765. [PMID: 34362925 PMCID: PMC8346589 DOI: 10.1038/s41467-021-25096-3] [Citation(s) in RCA: 247] [Impact Index Per Article: 82.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2021] [Accepted: 07/23/2021] [Indexed: 12/24/2022] Open
Abstract
Antibiotic resistance genes (ARGs) are widespread among bacteria. However, not all ARGs pose serious threats to public health, highlighting the importance of identifying those that are high-risk. Here, we developed an ‘omics-based’ framework to evaluate ARG risk considering human-associated-enrichment, gene mobility, and host pathogenicity. Our framework classifies human-associated, mobile ARGs (3.6% of all ARGs) as the highest risk, which we further differentiate as ‘current threats’ (Rank I; 3%) - already present among pathogens - and ‘future threats’ (Rank II; 0.6%) - novel resistance emerging from non-pathogens. Our framework identified 73 ‘current threat’ ARG families. Of these, 35 were among the 37 high-risk ARGs proposed by the World Health Organization and other literature; the remaining 38 were significantly enriched in hospital plasmids. By evaluating all pathogen genomes released since framework construction, we confirmed that ARGs that recently transferred into pathogens were significantly enriched in Rank II (‘future threats’). Lastly, we applied the framework to gut microbiome genomes from fecal microbiota transplantation donors. We found that although ARGs were widespread (73% of genomes), only 8.9% of genomes contained high-risk ARGs. Our framework provides an easy-to-implement approach to identify current and future antimicrobial resistance threats, with potential clinical applications including reducing risk of microbiome-based interventions. Antibiotic resistance genes are common but not all are of high risk to human health. Here, the authors develop an omics-based framework for ranking genes by risk that incorporates level of enrichment in human associated environments, gene mobility, and host pathogenicity.
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Affiliation(s)
- An-Ni Zhang
- Environmental Microbiome Engineering and Biotechnology Laboratory, Department of Civil Engineering, The University of Hong Kong, Hong Kong SAR, China.,Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, USA
| | | | - Chengzhen L Dai
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, USA
| | - Shijie Zhao
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, USA
| | - Mathilde Poyet
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, USA.,Center for Microbiome Informatics and Therapeutics, Massachusetts Institute of Technology, Cambridge, USA.,The Broad Institute of MIT and Harvard, Cambridge, USA
| | - Mathieu Groussin
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, USA.,Center for Microbiome Informatics and Therapeutics, Massachusetts Institute of Technology, Cambridge, USA.,The Broad Institute of MIT and Harvard, Cambridge, USA
| | - Xiaole Yin
- Environmental Microbiome Engineering and Biotechnology Laboratory, Department of Civil Engineering, The University of Hong Kong, Hong Kong SAR, China
| | - Li-Guan Li
- Environmental Microbiome Engineering and Biotechnology Laboratory, Department of Civil Engineering, The University of Hong Kong, Hong Kong SAR, China
| | | | - Edward Topp
- London Research and Development Centre (LRDC), Agriculture and Agri-Food Canada, London, ON, Canada
| | - Michael R Gillings
- Department of Biological Sciences, Macquarie University, Sydney, NSW, Australia
| | - William P Hanage
- Center for Communicable Disease Dynamics, Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, USA
| | - James M Tiedje
- Department of Plant, Soil and Microbial Sciences and of Microbiology and Molecular Genetics, Michigan State University, East Lansing, MI, USA
| | - Katya Moniz
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, USA
| | - Eric J Alm
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, USA.,Center for Microbiome Informatics and Therapeutics, Massachusetts Institute of Technology, Cambridge, USA.,The Broad Institute of MIT and Harvard, Cambridge, USA
| | - Tong Zhang
- Environmental Microbiome Engineering and Biotechnology Laboratory, Department of Civil Engineering, The University of Hong Kong, Hong Kong SAR, China. .,School of Public Health, The University of Hong Kong, Hong Kong SAR, China. .,Center for Environmental Engineering Research, The University of Hong Kong, Hong Kong SAR, China.
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16
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Kim DW, Cha CJ. Antibiotic resistome from the One-Health perspective: understanding and controlling antimicrobial resistance transmission. Exp Mol Med 2021; 53:301-309. [PMID: 33642573 PMCID: PMC8080597 DOI: 10.1038/s12276-021-00569-z] [Citation(s) in RCA: 101] [Impact Index Per Article: 33.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2020] [Revised: 12/17/2020] [Accepted: 12/21/2020] [Indexed: 01/31/2023] Open
Abstract
The concept of the antibiotic resistome was introduced just over a decade ago, and since then, active resistome studies have been conducted. In the present study, we describe the previously established concept of the resistome, which encompasses all types of antibiotic resistance genes (ARGs), and the important findings from each One-Health sector considering this concept, thereby emphasizing the significance of the One-Health approach in understanding ARG transmission. Cutting-edge research methodologies are essential for deciphering the complex resistome structure in the microbiomes of humans, animals, and the environment. Based on the recent achievements of resistome studies in multiple One-Health sectors, future directions for resistome research have been suggested to improve the understanding and control of ARG transmission: (1) ranking the critical ARGs and their hosts; (2) understanding ARG transmission at the interfaces of One-Health sectors; (3) identifying selective pressures affecting the emergence, transmission, and evolution of ARGs; and (4) elucidating the mechanisms that allow an organism to overcome taxonomic barriers in ARG transmission.
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Affiliation(s)
- Dae-Wi Kim
- grid.411545.00000 0004 0470 4320Division of Life Sciences, Jeonbuk National University, Jeonju, 54896 Republic of Korea
| | - Chang-Jun Cha
- grid.254224.70000 0001 0789 9563Department of Systems Biotechnology and Center for Antibiotic Resistome, Chung-Ang University, Anseong, 17546 Republic of Korea
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17
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Imchen M, Moopantakath J, Kumavath R, Barh D, Tiwari S, Ghosh P, Azevedo V. Current Trends in Experimental and Computational Approaches to Combat Antimicrobial Resistance. Front Genet 2020; 11:563975. [PMID: 33240317 PMCID: PMC7677515 DOI: 10.3389/fgene.2020.563975] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2020] [Accepted: 09/01/2020] [Indexed: 12/12/2022] Open
Abstract
A multitude of factors, such as drug misuse, lack of strong regulatory measures, improper sewage disposal, and low-quality medicine and medications, have been attributed to the emergence of drug resistant microbes. The emergence and outbreaks of multidrug resistance to last-line antibiotics has become quite common. This is further fueled by the slow rate of drug development and the lack of effective resistome surveillance systems. In this review, we provide insights into the recent advances made in computational approaches for the surveillance of antibiotic resistomes, as well as experimental formulation of combinatorial drugs. We explore the multiple roles of antibiotics in nature and the current status of combinatorial and adjuvant-based antibiotic treatments with nanoparticles, phytochemical, and other non-antibiotics based on synergetic effects. Furthermore, advancements in machine learning algorithms could also be applied to combat the spread of antibiotic resistance. Development of resistance to new antibiotics is quite rapid. Hence, we review the recent literature on discoveries of novel antibiotic resistant genes though shotgun and expression-based metagenomics. To decelerate the spread of antibiotic resistant genes, surveillance of the resistome is of utmost importance. Therefore, we discuss integrative applications of whole-genome sequencing and metagenomics together with machine learning models as a means for state-of-the-art surveillance of the antibiotic resistome. We further explore the interactions and negative effects between antibiotics and microbiomes upon drug administration.
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Affiliation(s)
- Madangchanok Imchen
- Department of Genomic Science, School of Biological Sciences, Central University of Kerala, Kasaragod, India
| | - Jamseel Moopantakath
- Department of Genomic Science, School of Biological Sciences, Central University of Kerala, Kasaragod, India
| | - Ranjith Kumavath
- Department of Genomic Science, School of Biological Sciences, Central University of Kerala, Kasaragod, India
| | - Debmalya Barh
- Centre for Genomics and Applied Gene Technology, Institute of Integrative Omics and Applied Biotechnology, Purba Medinipur, India
| | - Sandeep Tiwari
- Laboratório de Genética Celular e Molecular, Departamento de Biologia Geral, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Preetam Ghosh
- Department of Computer Science, Virginia Commonwealth University, Richmond, VA, United States
| | - Vasco Azevedo
- Laboratório de Genética Celular e Molecular, Departamento de Biologia Geral, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
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18
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Zhang T, Fukuda K, Topp E, Zhu YG, Smalla K, Tiedje JM, Larsson DGJ. Editorial: The Environmental Dimension of Antibiotic Resistance. FEMS Microbiol Ecol 2020; 96:5871492. [DOI: 10.1093/femsec/fiaa130] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2020] [Accepted: 06/23/2020] [Indexed: 01/10/2023] Open
Affiliation(s)
- Tong Zhang
- Department of Civil Engineering, The University of Hong Kong, Hong Kong, China
| | - Keiji Fukuda
- School of Public Health, The University of Hong Kong, Hong Kong, China
| | - Edward Topp
- Agriculture and Agri-Food Canada, Department of Biology, University of Western Ontario, London, Canada
| | - Yong-Guan Zhu
- Institute of Urban Environmenta, Chinese Academy of Science, Xiamen, China
| | - Kornelia Smalla
- Julius Kühn-Institut, Federal Research Centre for Cultivated Plants, Institute for Epidemiology and Pathogen Diagnostics, Braunschweig, Germany
| | - James M Tiedje
- The Center for Microbial Ecology, Michigan State University, East Lansing, Michigan, USA
| | - D G Joakim Larsson
- Department of Infectious Disease, Centre for Antibiotic Resistance Research, University of Gothenburg, Gothenburg, Sweden
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