A sampling and metagenomic sequencing-based methodology for monitoring antimicrobial resistance in swine herds
Author(s) -
Patrick Munk,
Vibe Dalhoff Andersen,
Leonardo de Knegt,
Marie Stengaard Jensen,
Berith Elkær Knudsen,
Oksana Lukjančenko,
Hanne Mordhorst,
Julie Clasen,
Yvonne Agersø,
Anders Folkesson,
Sünje Johanna Pamp,
Håkan Vigre,
Frank M. Aarestrup
Publication year - 2016
Publication title -
journal of antimicrobial chemotherapy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.124
H-Index - 194
eISSN - 1460-2091
pISSN - 0305-7453
DOI - 10.1093/jac/dkw415
Subject(s) - metagenomics , biology , sampling (signal processing) , antibiotic resistance , antimicrobial , computational biology , microbiology and biotechnology , drug resistance , herd , virology , genetics , antibiotics , computer science , gene , ecology , filter (signal processing) , computer vision
Reliable methods for monitoring antimicrobial resistance (AMR) in livestock and other reservoirs are essential to understand the trends, transmission and importance of agricultural resistance. Quantification of AMR is mostly done using culture-based techniques, but metagenomic read mapping shows promise for quantitative resistance monitoring.
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