Molecular Methods for Detection of Antimicrobial Resistance

Muna F. Anjum; Ea Zankari; Henrik Hasman

doi:10.1128/microbiolspec.ARBA-0011-2017

Chapter 3 : Molecular Methods for Detection of Antimicrobial Resistance

Authors: Muna F. Anjum¹, Ea Zankari², Henrik Hasman³

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Affiliations: 1: Department of Bacteriology, Animal and Plant Health Agency, Surrey, United Kingdom; 2: National Food Institute, Technical University of Denmark, Lyngby, Denmark; 3: National Food Institute, Technical University of Denmark, Lyngby, Denmark; 4: Reference Laboratory for Antimicrobial Resistance and Staphylococci, Staten Serum Institut, Copenhagen, Denmark

Content Type: Monograph

Publication Year: 2018

Category: Clinical Microbiology; Environmental Microbiology

Book DOI: 10.1128/9781555819804

Chapter DOI: 10.1128/microbiolspec.ARBA-0011-2017

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Abstract:

Molecular characterization of the genetic mechanism(s) underlying a given phenotypic result, obtained by traditional antimicrobial sensitivity testing, is now an integral part of many clinical investigations in relation to bacterial infections, whether in humans or animals. In some cases, when phenotypic results are too time-consuming, nonconclusive, or unavailable, molecular analysis can be used to investigate the presence of a given gene or point mutation and thereby give direct support to ensure that an optimal treatment or control strategy is undertaken in a timely manner. In addition, molecular characterization is frequently used as an indirect method to aid in epidemiological investigations following an outbreak, when phenotypic data is not sufficiently detailed to control possible outbreaks involving resistant bacteria. Finally, molecular characterization of antimicrobial resistance (AMR) determinants is also used for local, national, or even global surveillance of AMR. Currently, the European Food Safety Authority (EFSA) and the European Center for Disease Control (ECDC) are involved in monitoring and coordinating surveillance of AMR in important zoonotic bacteria from food animals and humans, and systems such as the European Antimicrobial Resistance Surveillance System (EARSS) have helped generate data regarding the prevalence of AMR in many European countries. However, most of the data are based on phenotypic characterization of isolates, although genotypic detection of AMR genes is also being increasingly performed by member states.

Citation: Anjum M, Zankari E, Hasman H. 2018. Molecular Methods for Detection of Antimicrobial Resistance, p 33-50. In Schwarz S, Cavaco L, Shen J (ed), Antimicrobial Resistance in Bacteria from Livestock and Companion Animals. ASM Press, Washington, DC. doi: 10.1128/microbiolspec.ARBA-0011-2017

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Tables

Molecular Methods for Detection of Antimicrobial Resistance

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/content/10.1128/9781555819804.chap3.tab3-1

Table 1

Overview of different open-access bioinformatic tools for identification of antimicrobial resistance

Table 1

Overview of different open-access bioinformatic tools for identification of antimicrobial resistance