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1. Metagenomic evidence for antibiotics-driven co-evolution of microbial community, resistome and mobilome in hospital sewage.

Author

Sun J, Yuan Y, Cai L, Zeng M, Li X, Yao F, Chen W, Huang Y, Shafiq M, Xie Q, Zhang Q, Wong N, Wang Z, and Jiao X

Subjects
Angiotensin Receptor Antagonists pharmacology, Angiotensin-Converting Enzyme Inhibitors pharmacology, Bacteria genetics, Genes, Bacterial, Metagenome, Anti-Bacterial Agents pharmacology, Microbiota, Sewage microbiology
Abstract

Overconsumption of antibiotics is an immediate cause for the emergence of antimicrobial resistance (AMR) and antibiotic resistant bacteria (ARB), though its environmental impact remains inadequately clarified. There is an urgent need to dissect the complex links underpinning the dynamic co-evolution of ARB and their resistome and mobilome in hospital sewage. Metagenomic and bioinformatic methods were employed to analyze the microbial community, resistome and mobilome in hospital sewage, in relation to data on clinical antibiotic use collected from a tertiary-care hospital. In this study, resistome (1,568 antibiotic resistance genes, ARGs, corresponding to 29 antibiotic types/subtypes) and mobilome (247 types of mobile genetic elements, MGEs) were identified. Networks connecting co-occurring ARGs with MGEs encompass 176 nodes and 578 edges, in which over 19 types of ARGs had significant correlations with MGEs. Prescribed dosage and time-dependent antibiotic consumption were associated with the abundance and distributions of ARGs, and conjugative transfer of ARGs via MGEs. Variation partitioning analyses show that effects of conjugative transfer were most likely the main contributors to transient propagation and persistence of AMR. We have presented the first evidence supporting idea that use of clinical antibiotics is a potent driving force for the development of co-evolving resistome and mobilome, which in turn supports the growth and evolution of ARB in hospital sewage. The use of clinical antibiotics calls for greater attention in antibiotic stewardship and management., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023 Elsevier Ltd. All rights reserved.)

Published
2023
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2. Antimicrobial resistance bacteria and genes detected in hospital sewage provide valuable information in predicting clinical antimicrobial resistance.

Author

Cai L, Sun J, Yao F, Yuan Y, Zeng M, Zhang Q, Xie Q, Wang S, Wang Z, and Jiao X

Subjects
Angiotensin Receptor Antagonists, Angiotensin-Converting Enzyme Inhibitors, Bacteria genetics, Drug Resistance, Bacterial genetics, Genes, Bacterial, Hospitals, Humans, Anti-Bacterial Agents pharmacology, Sewage
Abstract

Extensive use of antibiotics is significantly associated with development of antibiotic-resistant (AR) bacteria. However, their causal relationships have not been adequately investigated, especially in human population and hospitals. Our aims were to understand clinical AR through revealing co-occurrence patterns between antibiotic-resistant bacteria and genes (ARB and ARGs), and their association with antibiotic use, and to consider impact of ARB and ARGs on environmental and human health. Antibiotic usage was calculated based on the actual consumption in our target hospital. ARB was identified by culture. In isolates collected from hospital sewage, bacterial-specific DNA sequences and ARGs were determined using metagenomics. Our data revealed that the use of culture-based single-indicator-strain approaches only captured ARB in 16.17% of the infectious samples. On the other hand, 1573 bacterial species and 885 types of ARGs were detected in the sewage. Furthermore, hospital use of antibiotics influenced the resistance profiles, but the strength varied among bacteria. From our metagenomics analyses, ARGs for aminoglycosides were the most common, followed by sulfonamide, tetracycline, phenicol, macrolides, and quinolones, comprising 82.6% of all ARGs. Association analyses indicated that 519 pairs of ARGs were significantly correlated with ARB species (r > 0.8). The co-occurrence patterns of bacteria-ARGs mirrored the AR in the clinic. In conclusion, our systematic investigation further emphasized that antibiotic usage in hospital significantly influenced the abundance and types of ARB and ARGs in dose- and time-dependent manners which, in turn, mirrored clinical AR. In addition, our data provide novel information on development of certain ARB with multiple antibiotic resistance. These ARB and ARGs from sewage can also be disseminated into the environment and communities to create health problems. Therefore, it would be helpful to use such data to develop improved predictive risk model of AR, to enhance effective use of antibiotics, and to reduce environmental pollution., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2021 Elsevier B.V. All rights reserved.)

Published
2021
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3. Genomic analysis of sewage from 101 countries reveals global landscape of antimicrobial resistance

Author

Munk, Patrick, Brinch, Christian, Møller, Frederik Duus, Petersen, Thomas N., Hendriksen, Rene S., Seyfarth, Anne Mette, Kjeldgaard, Jette S., Svendsen, Christina Aaby, van Bunnik, Bram, Berglund, Fanny, Bego, Artan, Power, Pablo, Rees, Catherine, Lambrinidis, Dionisia, Neilson, Elizabeth Heather Jakobsen, Gibb, Karen, Coventry, Kris, Collignon, Peter, Cassar, Susan, Allerberger, Franz, Begum, Anowara, Hossain, Zenat Zebin, Worrell, Carlon, Vandenberg, Olivier, Pieters, Ilse, Victorien, Dougnon Tamègnon, Gutierrez, Angela Daniela Salazar, Soria, Freddy, Grujić, Vesna Rudić, Mazalica, Nataša, Rahube, Teddie O., Tagliati, Carlos Alberto, Rodrigues, Dalia, Oliveira, Guilherme, de Souza, Larissa Camila Ribeiro, Ivanov, Ivan, Juste, Bonkoungou Isidore, Oumar, Traoré, Sopheak, Thet, Vuthy, Yith, Ngandijo, Antoinette, Nzouankeu, Ariane, Olivier, Ziem A. Abah Jacques, Yost, Christopher K., Kumar, Pratik, Brar, Satinder Kaur, Tabo, Djim-Adjim, Adell, Aiko D., Paredes-Osses, Esteban, Martinez, Maria Cristina, Cuadros-Orellana, Sara, Ke, Changwen, Zheng, Huanying, Baisheng, Li, Lau, Lok Ting, Chung, Teresa, Jiao, Xiaoyang, Yu, Yongjie, JiaYong, Zhao, Morales, Johan F. Bernal, Valencia, Maria Fernanda, Donado-Godoy, Pilar, Coulibaly, Kalpy Julien, Hrenovic, Jasna, Jergović, Matijana, Karpíšková, Renáta, Deogratias, Zozo Nyarukweba, Elsborg, Bodil, Hansen, Lisbeth Truelstrup, Jensen, Pernille Erland, Abouelnaga, Mohamed, Salem, Mohamed Fathy, Koolmeister, Marliin, Legesse, Mengistu, Eguale, Tadesse, Heikinheimo, Annamari, Le Guyader, Soizick, Schaeffer, Julien, Villacis, Jose Eduardo, Sanneh, Bakary, Malania, Lile, Nitsche, Andreas, Brinkmann, Annika, Schubert, Sara, Hesse, Sina, Berendonk, Thomas U., Saba, Courage Kosi Setsoafia, Mohammed, Jibril, Feglo, Patrick Kwame, Banu, Regina Ama, Kotzamanidis, Charalampos, Lytras, Efthymios, Lickes, Sergio A., Kocsis, Bela, Solymosi, Norbert, Thorsteinsdottir, Thorunn R., Hatha, Abdulla Mohamed, Ballal, Mamatha, Bangera, Sohan Rodney, Fani, Fereshteh, Alebouyeh, Masoud, Morris, Dearbhaile, O’Connor, Louise, Cormican, Martin, Moran-Gilad, Jacob, Battisti, Antonio, Diaconu, Elena Lavinia, Corno, Gianluca, Di Cesare, Andrea, Alba, Patricia, Hisatsune, Junzo, Yu, Liansheng, Kuroda, Makoto, Sugai, Motoyuki, Kayama, Shizuo, Shakenova, Zeinegul, Kiiyukia, Ciira, Ng’eno, Eric, Raka, Lul, Jamil, Kazi, Fakhraldeen, Saja Adel, Alaati, Tareq, Bērziņš, Aivars, Avsejenko, Jeļena, Kokina, Kristina, Streikisa, Madara, Bartkevics, Vadims, Matar, Ghassan M., Daoud, Ziad, Pereckienė, Asta, Butrimaite-Ambrozeviciene, Ceslova, Penny, Christian, Bastaraud, Alexandra, Rasolofoarison, Tiavina, Collard, Jean-Marc, Samison, Luc Hervé, Andrianarivelo, Mala Rakoto, Banda, Daniel Lawadi, Amin, Arshana, Rajandas, Heraa, Parimannan, Sivachandran, Spiteri, David, Haber, Malcolm Vella, Santchurn, Sunita J., Vujacic, Aleksandar, Djurovic, Dijana, Bouchrif, Brahim, Karraouan, Bouchra, Vubil, Delfino Carlos, Pal, Pushkar, Schmitt, Heike, van Passel, Mark, Jeunen, Gert-Jan, Gemmell, Neil, Chambers, Stephen T., Mendoza, Fania Perez, Huete-Pιrez, Jorge, Vilchez, Samuel, Ahmed, Akeem Olayiwola, Adisa, Ibrahim Raufu, Odetokun, Ismail Ayoade, Fashae, Kayode, Sørgaard, Anne-Marie, Wester, Astrid Louise, Ryrfors, Pia, Holmstad, Rune, Mohsin, Mashkoor, Hasan, Rumina, Shakoor, Sadia, Gustafson, Natalie Weiler, Schill, Claudia Huber, Rojas, Maria Luz Zamudio, Velasquez, Jorge Echevarria, Magtibay, Bonifacio B., Catangcatang, Kris, Sibulo, Ruby, Yauce, Felipe Campos, Wasyl, Dariusz, Manaia, Celia, Rocha, Jaqueline, Martins, Jose, Álvaro, Pedro, Di Yoong Wen, Doris, Shin, Hanseob, Hur, Hor-Gil, Yoon, Sukhwan, Bosevska, Golubinka, Kochubovski, Mihail, Cojocaru, Radu, Burduniuc, Olga, Hong, Pei-Ying, Perry, Meghan Rose, Gassama, Amy, Radosavljevic, Vladimir, Tay, Moon Y. F., Zuniga-Montanez, Rogelio, Wuertz, Stefan, Gavačová, Dagmar, Pastuchová, Katarína, Truska, Peter, Trkov, Marija, Keddy, Karen, Esterhuyse, Kerneels, Song, Min Joon, Quintela-Baluja, Marcos, Lopez, Mariano Gomez, Cerdà-Cuéllar, Marta, Perera, R.R.D.P., Bandara, N.K.B.K.R.G.W., Premasiri, H.I., Pathirage, Sujatha, Charlemagne, Kareem, Rutgersson, Carolin, Norrgren, Leif, Örn, Stefan, Boss, Renate, Van der Heijden, Tanja, Hong, Yu-Ping, Kumburu, Happiness Houka, Mdegela, Robinson Hammerthon, Hounmanou, Yaovi Mahuton Gildas, Chonsin, Kaknokrat, Suthienkul, Orasa, Thamlikitkul, Visanu, de Roda Husman, Ana Maria, Bidjada, Bawimodom, Njanpop-Lafourcade, Berthe-Marie, Nikiema-Pessinaba, Somtinda Christelle, Levent, Belkis, Kurekci, Cemil, Ejobi, Francis, Kalule, John Bosco, Thomsen, Jens, Obaidi, Ouidiane, Jassim, Laila Mohamed, Moore, Andrew, Leonard, Anne, Graham, David W., Bunce, Joshua T., Zhang, Lihong, Gaze, William H., Lefor, Brett, Capone, Drew, Sozzi, Emanuele, Brown, Joe, Meschke, John Scott, Sobsey, Mark D., Davis, Michael, Beck, Nicola Koren, Sukapanpatharam, Pardi, Truong, Phuong, Lilienthal, Ronald, Kang, Sanghoon, Wittum, Thomas E., Rigamonti, Natalia, Baklayan, Patricia, Van, Chinh Dang, Tran, Doan Minh Nguyen, Do Phuc, Nguyen, Kwenda, Geoffrey, Larsson, D. G. Joakim, Koopmans, Marion, Woolhouse, Mark, Aarestrup, Frank M., Virology, Producció Animal, and Sanitat Animal

Subjects
genomic analysis, sewage, antimicrobial resistance, Multidisciplinary, Sewage, Drug Resistance, Bacterial, Metagenome, General Physics and Astronomy, Drug Resistance, Bacterial/genetics, Genomics, General Chemistry, General Biochemistry, Genetics and Molecular Biology, Anti-Bacterial Agents/pharmacology, Anti-Bacterial Agents
Abstract

Antimicrobial resistance (AMR) is a major threat to global health. Understanding the emergence, evolution, and transmission of individual antibiotic resistance genes (ARGs) is essential to develop sustainable strategies combatting this threat. Here, we use metagenomic sequencing to analyse ARGs in 757 sewage samples from 243 cities in 101 countries, collected from 2016 to 2019. We find regional patterns in resistomes, and these differ between subsets corresponding to drug classes and are partly driven by taxonomic variation. The genetic environments of 49 common ARGs are highly diverse, with most common ARGs carried by multiple distinct genomic contexts globally and sometimes on plasmids. Analysis of flanking sequence revealed ARG-specific patterns of dispersal limitation and global transmission. Our data furthermore suggest certain geographies are more prone to transmission events and should receive additional attention. Antimicrobial resistance (AMR) is a major threat to global health. Understanding the emergence, evolution, and transmission of individual antibiotic resistance genes (ARGs) is essential to develop sustainable strategies combatting this threat. Here, we use metagenomic sequencing to analyse ARGs in 757 sewage samples from 243 cities in 101 countries, collected from 2016 to 2019. We find regional patterns in resistomes, and these differ between subsets corresponding to drug classes and are partly driven by taxonomic variation. The genetic environments of 49 common ARGs are highly diverse, with most common ARGs carried by multiple distinct genomic contexts globally and sometimes on plasmids. Analysis of flanking sequence revealed ARG-specific patterns of dispersal limitation and global transmission. Our data furthermore suggest certain geographies are more prone to transmission events and should receive additional attention.

Published
2022

4. Global monitoring of antimicrobial resistance based on metagenomics analyses of urban sewage

Author

Hendriksen, Rene S., Munk, Patrick, Njage, Patrick, van Bunnik, Bram, McNally, Luke, Lukjancenko, Oksana, Röder, Timo, Nieuwenhuijse, David, Pedersen, Susanne Karlsmose, Kjeldgaard, Jette, Kaas, Rolf S., Clausen, Philip Thomas Lanken Conradsen, Vogt, Josef Korbinian, Leekitcharoenphon, Pimlapas, van de Schans, Milou G.M., Zuidema, Tina, de Roda Husman, Ana Maria, Rasmussen, Simon, Petersen, Bent, Bego, Artan, Rees, Catherine, Cassar, Susan, Coventry, Kris, Collignon, Peter, Allerberger, Franz, Rahube, Teddie O., Oliveira, Guilherme, Ivanov, Ivan, Vuthy, Yith, Sopheak, Thet, Yost, Christopher K., Ke, Changwen, Zheng, Huanying, Baisheng, Li, Jiao, Xiaoyang, Donado-Godoy, Pilar, Coulibaly, Kalpy Julien, Jergović, Matijana, Hrenovic, Jasna, Karpíšková, Renáta, Villacis, Jose Eduardo, Legesse, Mengistu, Eguale, Tadesse, Heikinheimo, Annamari, Malania, Lile, Nitsche, Andreas, Brinkmann, Annika, Saba, Courage Kosi Setsoafia, Kocsis, Bela, Solymosi, Norbert, Thorsteinsdottir, Thorunn R., Hatha, Abdulla Mohamed, Alebouyeh, Masoud, Morris, Dearbhaile, Cormican, Martin, O’Connor, Louise, Moran-Gilad, Jacob, Alba, Patricia, Battisti, Antonio, Shakenova, Zeinegul, Kiiyukia, Ciira, Ng’eno, Eric, Raka, Lul, Avsejenko, Jeļena, Bērziņš, Aivars, Bartkevics, Vadims, Penny, Christian, Rajandas, Heraa, Parimannan, Sivachandran, Haber, Malcolm Vella, Pal, Pushkar, Jeunen, Gert Jan, Gemmell, Neil, Fashae, Kayode, Holmstad, Rune, Hasan, Rumina, Shakoor, Sadia, Rojas, Maria Luz Zamudio, Wasyl, Dariusz, Bosevska, Golubinka, Kochubovski, Mihail, Radu, Cojocaru, Gassama, Amy, Radosavljevic, Vladimir, Wuertz, Stefan, Zuniga-Montanez, Rogelio, Tay, Moon Y.F., Gavačová, Dagmar, Pastuchova, Katarina, Truska, Peter, Trkov, Marija, Esterhuyse, Kerneels, Keddy, Karen, Cerdà-Cuéllar, Marta, Pathirage, Sujatha, Norrgren, Leif, Örn, Stefan, Larsson, D. G.Joakim, Heijden, Tanja Van der, Kumburu, Happiness Houka, Sanneh, Bakary, Bidjada, Pawou, Njanpop-Lafourcade, Berthe Marie, Nikiema-Pessinaba, Somtinda Christelle, Levent, Belkis, Meschke, John Scott, Beck, Nicola Koren, Van, Chinh Dang, Tran, Doan Minh Nguyen, Kwenda, Geoffrey, Tabo, Djim adjim, Wester, Astrid Louise, Cuadros-Orellana, Sara, Amid, Clara, Cochrane, Guy, Sicheritz-Ponten, Thomas, Schmitt, Heike, Alvarez, Jorge Raul Matheu, Aidara-Kane, Awa, Pamp, Sünje J., Lund, Ole, Hald, Tine, Woolhouse, Mark, Koopmans, Marion P., Vigre, Håkan, Petersen, Thomas Nordahl, Aarestrup, Frank M., Sub RIVM, dIRAS RA-I&I RA, One Health Microbieel, dIRAS RA-I&I I&I, University of Helsinki, Food Hygiene and Environmental Health, Producció Animal, Sanitat Animal, Tilraunastöð í meinafræði að Keldum (HÍ), Institute for Experimental Pathology, Keldur (UI), Heilbrigðisvísindasvið (HÍ), School of Health Sciences (UI), Háskóli Íslands, University of Iceland, Food Hygiene and Environmental Health, Helsinki One Health (HOH), Zoonotic Antimicrobial Resistance, and Virology

Subjects
0301 basic medicine, Water microbiology, global surveillance, Sanitation, Kwantitatieve Veterinaire Epidemiologie, Drug Resistance, General Physics and Astronomy, Sewage, 02 engineering and technology, Drug resistance, Antimicrobial resistance, 413 Veterinary science, BU Veterinary Drugs, Abundance (ecology), Drug Resistance, Multiple, Bacterial, Genamengi, AMR, lcsh:Science, resistome, Ónæmisfræði, Multidisciplinary, Population Health, 021001 nanoscience & nanotechnology, 3. Good health, Europe, machine learning, Geography, Epidemiological Monitoring, 0210 nano-technology, Asia, Science, Microbial Consortia, Oceania, Article, General Biochemistry, Genetics and Molecular Biology, BU Dierbehandelingsmiddelen, 03 medical and health sciences, Antibiotic resistance, SDG 3 - Good Health and Well-being, Environmental health, Erfðafræði, Life Science, Humans, ddc:610, wastewater, Ecological epidemiology, Bacteria, business.industry, Quantitative Veterinary Epidemiology, prediction, General Chemistry, South America, Resistome, 030104 developmental biology, Genes, Socioeconomic Factors, 416 Food Science, Genes, Bacterial, Metagenomics, ENVIRONMENTAL SURVEILLANCE, Africa, North America, Metagenome, UPDATE, lcsh:Q, business, 610 Medizin und Gesundheit
Abstract

Publisher's version (útgefin grein), Antimicrobial resistance (AMR) is a serious threat to global public health, but obtaining representative data on AMR for healthy human populations is difficult. Here, we use metagenomic analysis of untreated sewage to characterize the bacterial resistome from 79 sites in 60 countries. We find systematic differences in abundance and diversity of AMR genes between Europe/North-America/Oceania and Africa/Asia/South-America. Antimicrobial use data and bacterial taxonomy only explains a minor part of the AMR variation that we observe. We find no evidence for cross-selection between antimicrobial classes, or for effect of air travel between sites. However, AMR gene abundance strongly correlates with socio-economic, health and environmental factors, which we use to predict AMR gene abundances in all countries in the world. Our findings suggest that global AMR gene diversity and abundance vary by region, and that improving sanitation and health could potentially limit the global burden of AMR. We propose metagenomic analysis of sewage as an ethically acceptable and economically feasible approach for continuous global surveillance and prediction of AMR., We are grateful to Hanne Nørgaard Nielsen, Christina Aaby Svendsen, Jacob Dyring Jensen, Birthe S. Rosenqvist Lund, Kate Vina Vibefeldt, Inge Marianne Hansen, Gunhild Larsen, Hanne Mordhorst, and Carsten Bidstrup for technical assistance. We also thank Jeffrey Edward Skiby for internal review. This study has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement no. 643476 (COMPARE), the World Health Organization, The Villum Foundation (VKR023052), and The Novo Nordisk Foundation (NNF16OC0021856: Global Surveillance of Antimicrobial Resistance).

Published
2019

5. Setting a baseline for global urban virome surveillance in sewage

Author

Nieuwenhuijse, David F., Oude Munnink, Bas B., Phan, My V.T., Hendriksen, Rene S., Bego, Artan, Rees, Catherine, Neilson, Elizabeth Heather, Coventry, Kris, Collignon, Peter, Allerberger, Franz, Rahube, Teddie O., Oliveira, Guilherme, Ivanov, Ivan, Sopheak, Thet, Vuthy, Yith, Yost, Christopher K., Tabo, Djim adjim, Cuadros-Orellana, Sara, Ke, Changwen, Zheng, Huanying, Baisheng, Li, Jiao, Xiaoyang, Donado-Godoy, Pilar, Coulibaly, Kalpy Julien, Hrenovic, Jasna, Jergović, Matijana, Karpíšková, Renáta, Elsborg, Bodil, Legesse, Mengistu, Eguale, Tadesse, Heikinheimo, Annamari, Villacis, Jose Eduardo, Sanneh, Bakary, Malania, Lile, Nitsche, Andreas, Brinkmann, Annika, Saba, Courage Kosi Setsoafia, Kocsis, Bela, Solymosi, Norbert, Thorsteinsdottir, Thorunn R., Hatha, Abdulla Mohamed, Alebouyeh, Masoud, Morris, Dearbhaile, O’Connor, Louise, Cormican, Martin, Moran-Gilad, Jacob, Battisti, Antonio, Alba, Patricia, Shakenova, Zeinegul, Kiiyukia, Ciira, Ng’eno, Eric, Raka, Lul, Bērziņš, Aivars, Avsejenko, Jeļena, Bartkevics, Vadims, Penny, Christian, Rajandas, Heraa, Parimannan, Sivachandran, Haber, Malcolm Vella, Pal, Pushkar, Schmitt, Heike, van Passel, Mark, van de Schans, Milou G.M., Zuidema, Tina, Jeunen, Gert Jan, Gemmell, Neil, Fashae, Kayode, Wester, Astrid Louise, Holmstad, Rune, Hasan, Rumina, Shakoor, Sadia, Rojas, Maria Luz Zamudio, Wasyl, Dariusz, Bosevska, Golubinka, Kochubovski, Mihail, Radu, Cojocaru, Gassama†, Amy, Radosavljevic, Vladimir, Tay, Moon Y.F., Zuniga-Montanez, Rogelio, Wuertz, Stefan, Gavačová, Dagmar, Trkov, Marija, Keddy, Karen, Esterhuyse, Kerneels, Cerdà-Cuéllar, Marta, Pathirage, Sujatha, Larsson, D. G.Joakim, Norrgren, Leif, Örn, Stefan, Van der Heijden, Tanja, Kumburu, Happiness Houka, de RodaHusman, Ana Maria, Njanpop-Lafourcade, Berthe Marie, Bidjada, Pawou, Nikiema-Pessinaba, Somtinda Christelle, Levent, Belkis, Meschke, John Scott, Beck, Nicola Koren, Van Dang, Chinh, Tran, Doan Minh Nguyen, Do Phuc, Nguyen, Kwenda, Geoffrey, Munk, Patrick, Venkatakrishnan, Shweta, Aarestrup, Frank M., Cotten, Matthew, Koopmans, Marion P.G., IRAS OH Epidemiology Microbial Agents, dIRAS RA-I&I I&I, Singapore Centre for Environmental Life Sciences and Engineering, Nanyang Technological University Food Technology Centre (NAFTEC), Producció Animal, Sanitat Animal, Virology, University of Helsinki, Food Hygiene and Environmental Health, Helsinki One Health (HOH), Zoonotic Antimicrobial Resistance, IRAS OH Epidemiology Microbial Agents, and dIRAS RA-I&I I&I

Subjects
0301 basic medicine, lcsh:Medicine, Sewage, Pilot Projects, POLIOVIRUS, Disease, CORONAVIRUS, Disease Outbreaks, BU Veterinary Drugs, 0302 clinical medicine, Vegetables, lcsh:Science, metagenomic sequencing, sewage, viral pathogens, virome, virus, 11832 Microbiology and virology, Public health, Multidisciplinary, Virome, ENTEROVIRUSES, 3142 Public health care science, environmental and occupational health, Environmental engineering [Engineering], Geography, Public Health, Environmental Monitoring, VIRUSES, High density, Early detection, Food Contamination, CLASSIFICATION, BU Dierbehandelingsmiddelen, Article, 03 medical and health sciences, SDG 3 - Good Health and Well-being, Environmental health, Humans, Life Science, Human virome, Author Correction, business.industry, lcsh:R, Outbreak, SEASONALITY, Cross-Sectional Studies, 030104 developmental biology, Megacity, Metagenomics, PATTERNS, Metagenome, lcsh:Q, business, 030217 neurology & neurosurgery
Abstract

The rapid development of megacities, and their growing connectedness across the world is becoming a distinct driver for emerging disease outbreaks. Early detection of unusual disease emergence and spread should therefore include such cities as part of risk-based surveillance. A catch-all metagenomic sequencing approach of urban sewage could potentially provide an unbiased insight into the dynamics of viral pathogens circulating in a community irrespective of access to care, a potential which already has been proven for the surveillance of poliovirus. Here, we present a detailed characterization of sewage viromes from a snapshot of 81 high density urban areas across the globe, including in-depth assessment of potential biases, as a proof of concept for catch-all viral pathogen surveillance. We show the ability to detect a wide range of viruses and geographical and seasonal differences for specific viral groups. Our findings offer a cross-sectional baseline for further research in viral surveillance from urban sewage samples and place previous studies in a global perspective.

Published
2020

6. Metagenomic insights into antibiotic resistance-related changes in microbial communities, resistome and mobilome under a modified A2/O treatment process for hospital sewage.

Author

Yuan, Yumeng, Zeng, Mi, Sun, Jiayu, Li, Xin, Yao, Fen, Shafiq, Muhammad, Guo, Xiaoling, Wang, Meimei, Lu, Tao, Wong, Nai-Kei, Li, Adela Jing, and Jiao, Xiaoyang

Subjects
MOBILE genetic elements, MICROBIAL communities, SEWAGE, METAGENOMICS, ENVIRONMENTAL security, SEWAGE purification, MICROBIAL diversity, SOIL microbial ecology
Abstract

Sewage treatment is crucial to environmental security by restricting the spread of antimicrobial resistance (AMR). However, there remains little consensus on genome-guided approaches to evaluating treatment efficacy, particularly with respect to the bacterial resistome and mobilome. Here, we present the first comprehensive metagenomic evidence for AMR-related changes in the bacterial resistome and mobilome in hospital sewage before and after treatment as modified by an anaerobic-anoxic-oxic (A2/O) process. Key factors involved in AMR dissemination including diversities of microbial communities, antibiotic resistance genes (ARGs), and mobile genetic elements (MGEs) in untreated and treated sewage were analyzed by metagenomic and bioinformatic methods. Sixteen out of the most common 20 bacterial species were reduced, with Enterococcus faecalis showing the highest clearance rate (88.46%). Of the highest occurring 20 ARGs, five types of ARGs significantly declined (p < 0.01), including crp, tetQ, ermF, aadA24 , and catB3 , whereas the other ARGs such as aac, aph, VEB-3, mphE, msrE, sul1, GES-6, qacH, OXA-3, and ereA increased in the treated sewage (p < 0.01). Of the top 20 MGEs, only five types were reduced, while the other MGEs were increased by treatment (p < 0.01). Network analysis further reveals that connections between bacteria and ARGs, and connections between MGEs and ARGs were weakened significantly under A2/O. Overall, our work demonstrates the relevance and utility of resistome and mobilome as assessment criteria in AMR monitoring panels for more comprehensive evaluation of the effectiveness of sewage treatment against the spread of AMR. [Display omitted] • Sixteen out of the top 20 bacteria were significantly reduced after treatment. • Correlation between bacteria and ARGs, ARGs and MGEs were significantly reduced. • The analysis of resistome and mobilome in effluent offer evidence of AMR spread. [ABSTRACT FROM AUTHOR]

Published
2023
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