Antimicrobial resistance Dashboard application for mapping environmental occurrence and resistant pathogens

Robert D. Stedtfeld, Maggie R. Williams, Umama Fakher, Timothy A. Johnson, Tiffany M. Stedtfeld, Fang Wang, Walid T. Khalife, Mary Hughes, Brett E. Etchebarne, James M. Tiedje, Syed A. Hashsham

Research output: Contribution to journalArticlepeer-review

29 Scopus citations

Abstract

An antibiotic resistance (AR) Dashboard application is being developed regarding the occurrence of antibiotic resistance genes (ARG) and bacteria (ARB) in environmental and clinical settings. The application gathers and geospatially maps AR studies, reported occurrence and antibiograms, which can be downloaded for offline analysis. With the integration of multiple data sets, the database can be used on a regional or global scale to identify hot spots for ARGs and ARB; track and link spread and transmission, quantify environmental or human factors influencing presence and persistence of ARG harboring organisms; differentiate natural ARGs from those distributed via human or animal activity; cluster and compare ARGs connections in different environments and hosts; and identify genes that can be used as proxies to routinely monitor anthropogenic pollution. To initially populate and develop the AR Dashboard, a qPCR ARG array was tested with 30 surface waters, primary influent from three waste water treatment facilities, ten clinical isolates from a regional hospital and data from previously published studies including river, park soil and swine farm samples. Interested users are invited to download a beta version (available on iOS or Android), submit AR information using the application, and provide feedback on current and prospective functionalities.

Original languageEnglish
JournalFEMS Microbiology Ecology
Volume92
Issue number3
DOIs
StatePublished - Mar 1 2016

Keywords

  • AR dashboard database application
  • Antibiotic resistance gene qPCR array
  • Environmental resistome
  • Mapping genes
  • Mobile genetic elements

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