A global baseline for qPCR-determined antimicrobial resistance gene prevalence across environments
The environment is an important component in the emergence and transmission of antimicrobial resistance (AMR). Despite that, little effort has been made to monitor AMR outside of clinical and veterinary settings. Partially, this is caused by a lack of comprehensive reference data for the vast majori...
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Format: | Article |
Language: | English |
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Elsevier
2023-08-01
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Series: | Environment International |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S0160412023003574 |
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author | Anna Abramova Thomas U. Berendonk Johan Bengtsson-Palme |
author_facet | Anna Abramova Thomas U. Berendonk Johan Bengtsson-Palme |
author_sort | Anna Abramova |
collection | DOAJ |
description | The environment is an important component in the emergence and transmission of antimicrobial resistance (AMR). Despite that, little effort has been made to monitor AMR outside of clinical and veterinary settings. Partially, this is caused by a lack of comprehensive reference data for the vast majority of environments. To enable monitoring to detect deviations from the normal background resistance levels in the environment, it is necessary to establish a baseline of AMR in a variety of settings. In an attempt to establish this baseline level, we here performed a comprehensive literature survey, identifying 150 scientific papers containing relevant qPCR data on antimicrobial resistance genes (ARGs) in environments associated with potential routes for AMR dissemination. The collected data included 1594 samples distributed across 30 different countries and 12 sample types, in a time span from 2001 to 2020. We found that for most ARGs, the typically reported abundances in human impacted environments fell in an interval from 10-5 to 10-3 copies per 16S rRNA, roughly corresponding to one ARG copy in a thousand bacteria. Altogether these data represent a comprehensive overview of the occurrence and levels of ARGs in different environments, providing background data for risk assessment models within current and future AMR monitoring frameworks. |
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institution | Directory Open Access Journal |
issn | 0160-4120 |
language | English |
last_indexed | 2024-03-12T14:42:55Z |
publishDate | 2023-08-01 |
publisher | Elsevier |
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series | Environment International |
spelling | doaj.art-555050661a2b4b2fb57c138bbf17a4cf2023-08-16T04:26:22ZengElsevierEnvironment International0160-41202023-08-01178108084A global baseline for qPCR-determined antimicrobial resistance gene prevalence across environmentsAnna Abramova0Thomas U. Berendonk1Johan Bengtsson-Palme2Department of Infectious Diseases, Institute of Biomedicine, The Sahlgrenska Academy, University of Gothenburg, Guldhedsgatan 10A, SE-413 46 Gothenburg, Sweden; Centre for Antibiotic Resistance research (CARe) in Gothenburg, Sweden; Division of Systems and Synthetic Biology, Department of Life Sciences, SciLifeLab, Chalmers University of Technology, SE-412 96 Gothenburg, SwedenInstitute for Hydrobiology, Technische Universität Dresden, Dresden 01062, GermanyDepartment of Infectious Diseases, Institute of Biomedicine, The Sahlgrenska Academy, University of Gothenburg, Guldhedsgatan 10A, SE-413 46 Gothenburg, Sweden; Centre for Antibiotic Resistance research (CARe) in Gothenburg, Sweden; Division of Systems and Synthetic Biology, Department of Life Sciences, SciLifeLab, Chalmers University of Technology, SE-412 96 Gothenburg, Sweden; Corresponding author.The environment is an important component in the emergence and transmission of antimicrobial resistance (AMR). Despite that, little effort has been made to monitor AMR outside of clinical and veterinary settings. Partially, this is caused by a lack of comprehensive reference data for the vast majority of environments. To enable monitoring to detect deviations from the normal background resistance levels in the environment, it is necessary to establish a baseline of AMR in a variety of settings. In an attempt to establish this baseline level, we here performed a comprehensive literature survey, identifying 150 scientific papers containing relevant qPCR data on antimicrobial resistance genes (ARGs) in environments associated with potential routes for AMR dissemination. The collected data included 1594 samples distributed across 30 different countries and 12 sample types, in a time span from 2001 to 2020. We found that for most ARGs, the typically reported abundances in human impacted environments fell in an interval from 10-5 to 10-3 copies per 16S rRNA, roughly corresponding to one ARG copy in a thousand bacteria. Altogether these data represent a comprehensive overview of the occurrence and levels of ARGs in different environments, providing background data for risk assessment models within current and future AMR monitoring frameworks.http://www.sciencedirect.com/science/article/pii/S0160412023003574Antibiotic resistanceAMRqPCRMonitoringSurveillance |
spellingShingle | Anna Abramova Thomas U. Berendonk Johan Bengtsson-Palme A global baseline for qPCR-determined antimicrobial resistance gene prevalence across environments Environment International Antibiotic resistance AMR qPCR Monitoring Surveillance |
title | A global baseline for qPCR-determined antimicrobial resistance gene prevalence across environments |
title_full | A global baseline for qPCR-determined antimicrobial resistance gene prevalence across environments |
title_fullStr | A global baseline for qPCR-determined antimicrobial resistance gene prevalence across environments |
title_full_unstemmed | A global baseline for qPCR-determined antimicrobial resistance gene prevalence across environments |
title_short | A global baseline for qPCR-determined antimicrobial resistance gene prevalence across environments |
title_sort | global baseline for qpcr determined antimicrobial resistance gene prevalence across environments |
topic | Antibiotic resistance AMR qPCR Monitoring Surveillance |
url | http://www.sciencedirect.com/science/article/pii/S0160412023003574 |
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