Isothermal assay targeting class 1 integrase gene for environmental surveillance of antibiotic resistance markers

  • Robert D. Stedtfeld
  • , Tiffany M. Stedtfeld
  • , Hassen Waseem
  • , Meridith Fitschen-Brown
  • , Xueping Guo
  • , Benli Chai
  • , Maggie R. Williams
  • , Trevor Shook
  • , Amanda Logan
  • , Ally Graham
  • , Jong Chan Chae
  • , Woo Jun Sul
  • , Jacob VanHouten
  • , James R. Cole
  • , Gerben J. Zylstra
  • , James M. Tiedje
  • , Brad L. Upham
  • , Syed A. Hashsham*
  • *Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

Abstract

Antimicrobial resistance genes (ARGs) present in the environment pose a risk to human health due to potential for transfer to human pathogens. Surveillance is an integral part of mitigating environmental dissemination. Quantification of the mobile genetic element class 1 integron-integrase gene (intI1) has been proposed as a surrogate to measuring multiple ARGs. Measurement of such indicator genes can be further simplified by adopting emerging nucleic acids methods such as loop mediated isothermal amplification (LAMP). In this study, LAMP assays were designed and tested for estimating relative abundance of the intI1 gene, which included design of a universal bacteria 16S rRNA gene assay. Following validation of sensitivity and specificity with known bacterial strains, the assays were tested using DNA extracted from river and lake samples. Results showed a significant Pearson correlation (R2 = 0.8) between the intI1 gene LAMP assay and ARG relative abundance (measured via qPCR). To demonstrate the ruggedness of the LAMP assays, experiments were also run in the hands of relatively “untrained” personnel by volunteer undergraduate students at a local community college using a hand-held real-time DNA analysis device - Gene-Z. Overall, results support use of the intI1 gene as an indicator of ARGs and the LAMP assays exhibit the opportunity for volunteers to monitor environmental samples for anthropogenic pollution outside of a specialized laboratory.

Original languageEnglish
Pages (from-to)213-220
Number of pages8
JournalJournal of Environmental Management
Volume198
DOIs
StatePublished - 2017.08.1

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Antibiotic resistance gene surveillance
  • Environmental water and sediment samples
  • intI1 gene
  • Loop mediated isothermal amplification (LAMP)
  • Research translation

Quacquarelli Symonds(QS) Subject Topics

  • Environmental Sciences

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