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Consolidating and Exploring Antibiotic Resistance Gene Data Resources

Basil Britto Xavier, Anupam J. Das, Guy Cochrane, Sandra De Ganck, Samir Kumar-Singh, Frank Møller Aarestrup, Herman Goossens, Surbhi Malhotra-Kumar
C. S. Kraft, Editor
Basil Britto Xavier
aLaboratory of Medical Microbiology, Vaccine & Infectious Disease Institute, Universiteit Antwerpen, Antwerp, Belgium
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Anupam J. Das
aLaboratory of Medical Microbiology, Vaccine & Infectious Disease Institute, Universiteit Antwerpen, Antwerp, Belgium
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Guy Cochrane
bEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Cambridge, United Kingdom
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Sandra De Ganck
aLaboratory of Medical Microbiology, Vaccine & Infectious Disease Institute, Universiteit Antwerpen, Antwerp, Belgium
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Samir Kumar-Singh
aLaboratory of Medical Microbiology, Vaccine & Infectious Disease Institute, Universiteit Antwerpen, Antwerp, Belgium
cLaboratory of Molecular Pathology, Cell Biology and Histology, Faculty of Medicine and Health Sciences, Universiteit Antwerpen, Antwerp, Belgium
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Frank Møller Aarestrup
dNational Food Institute, Technical University of Denmark, Lyngby, Denmark
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Herman Goossens
aLaboratory of Medical Microbiology, Vaccine & Infectious Disease Institute, Universiteit Antwerpen, Antwerp, Belgium
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Surbhi Malhotra-Kumar
aLaboratory of Medical Microbiology, Vaccine & Infectious Disease Institute, Universiteit Antwerpen, Antwerp, Belgium
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C. S. Kraft
Roles: Editor
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DOI: 10.1128/JCM.02717-15
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ABSTRACT

The unrestricted use of antibiotics has resulted in rapid acquisition of antibiotic resistance (AR) and spread of multidrug-resistant (MDR) bacterial pathogens. With the advent of next-generation sequencing technologies and their application in understanding MDR pathogen dynamics, it has become imperative to unify AR gene data resources for easy accessibility for researchers. However, due to the absence of a centralized platform for AR gene resources, availability, consistency, and accuracy of information vary considerably across different databases. In this article, we explore existing AR gene data resources in order to make them more visible to the clinical microbiology community, to identify their limitations, and to propose potential solutions.

  • Copyright © 2016, American Society for Microbiology. All Rights Reserved.
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Consolidating and Exploring Antibiotic Resistance Gene Data Resources
Basil Britto Xavier, Anupam J. Das, Guy Cochrane, Sandra De Ganck, Samir Kumar-Singh, Frank Møller Aarestrup, Herman Goossens, Surbhi Malhotra-Kumar
Journal of Clinical Microbiology Mar 2016, 54 (4) 851-859; DOI: 10.1128/JCM.02717-15

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Consolidating and Exploring Antibiotic Resistance Gene Data Resources
Basil Britto Xavier, Anupam J. Das, Guy Cochrane, Sandra De Ganck, Samir Kumar-Singh, Frank Møller Aarestrup, Herman Goossens, Surbhi Malhotra-Kumar
Journal of Clinical Microbiology Mar 2016, 54 (4) 851-859; DOI: 10.1128/JCM.02717-15
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  • Top
  • Article
    • ABSTRACT
    • INTRODUCTION
    • ANTIBIOTIC RESISTANCE GENE DATABASES
    • ASSESSMENT OF THE PERFORMANCE OF AR GENE DATABASES USING GENE SEQUENCES, WHOLE-GENOME SEQUENCES, AND (FUNCTIONAL) METAGENOMICS DATA
    • A FUTURE PATH
    • SUMMARY AND CONCLUSIONS
    • ACKNOWLEDGMENTS
    • REFERENCES
    • Author Bios
  • Figures & Data
  • Info & Metrics
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