Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

Meta-analysis reveals the global picture of antibiotic resistance gene prevalence across environments

View ORCID ProfileAnna Abramova, View ORCID ProfileThomas U. Berendonk, View ORCID ProfileJohan Bengtsson-Palme
doi: https://doi.org/10.1101/2022.01.29.478248
Anna Abramova
1Department of Infectious Diseases, Institute of Biomedicine, The Sahlgrenska Academy, University of Gothenburg, Guldhedsgatan 10A, SE-413 46 Gothenburg, Sweden
2Centre for Antibiotic Resistance research (CARe) at University of Gothenburg, Gothenburg, Sweden
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Anna Abramova
Thomas U. Berendonk
3Institute for Hydrobiology, Technische Universität Dresden, Dresden 01062, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Thomas U. Berendonk
Johan Bengtsson-Palme
1Department of Infectious Diseases, Institute of Biomedicine, The Sahlgrenska Academy, University of Gothenburg, Guldhedsgatan 10A, SE-413 46 Gothenburg, Sweden
2Centre for Antibiotic Resistance research (CARe) at University of Gothenburg, Gothenburg, Sweden
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Johan Bengtsson-Palme
  • For correspondence: johan.bengtsson-palme@gu.se
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Preview PDF
Loading

Abstract

The environment is an important component in the emergence and transmission of antimicrobial resistance (AMR). Despite that, current AMR monitoring initiatives lack 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 the typical baseline of AMR in a variety of settings. In an attempt to establish this baseline level, we here performed a comprehensive literature survey across 2516 scientific papers, 150 of which contained relevant qPCR data on antibiotic resistance genes (ARGs) in environments associated with potential routes of AMR dissemination. The collected data include 1487 samples distributed across 30 different countries and 17 environmental types, in a time span from 2005 to 2018. More than 330 different genes were identified from the collected studies. Most surveyed environments contained a diverse set of ARGs, but generally at low abundances. We used linear mixed models and overrepresentation analysis to identify time trends and associations between ARGs and specific environments. 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.

Competing Interest Statement

The authors have declared no competing interest.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-ND 4.0 International license.
Back to top
PreviousNext
Posted January 30, 2022.
Download PDF
Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
Meta-analysis reveals the global picture of antibiotic resistance gene prevalence across environments
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
Meta-analysis reveals the global picture of antibiotic resistance gene prevalence across environments
Anna Abramova, Thomas U. Berendonk, Johan Bengtsson-Palme
bioRxiv 2022.01.29.478248; doi: https://doi.org/10.1101/2022.01.29.478248
Digg logo Reddit logo Twitter logo Facebook logo Google logo LinkedIn logo Mendeley logo
Citation Tools
Meta-analysis reveals the global picture of antibiotic resistance gene prevalence across environments
Anna Abramova, Thomas U. Berendonk, Johan Bengtsson-Palme
bioRxiv 2022.01.29.478248; doi: https://doi.org/10.1101/2022.01.29.478248

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Microbiology
Subject Areas
All Articles
  • Animal Behavior and Cognition (3514)
  • Biochemistry (7365)
  • Bioengineering (5341)
  • Bioinformatics (20317)
  • Biophysics (10040)
  • Cancer Biology (7771)
  • Cell Biology (11346)
  • Clinical Trials (138)
  • Developmental Biology (6446)
  • Ecology (9978)
  • Epidemiology (2065)
  • Evolutionary Biology (13353)
  • Genetics (9369)
  • Genomics (12605)
  • Immunology (7724)
  • Microbiology (19085)
  • Molecular Biology (7459)
  • Neuroscience (41127)
  • Paleontology (300)
  • Pathology (1235)
  • Pharmacology and Toxicology (2142)
  • Physiology (3174)
  • Plant Biology (6874)
  • Scientific Communication and Education (1276)
  • Synthetic Biology (1900)
  • Systems Biology (5324)
  • Zoology (1091)