The Resistome of ESKAPEE Pathogens in Untreated and Treated Wastewater: A Polish Case Study

Biomolecules. 2022 Aug 21;12(8):1160. doi: 10.3390/biom12081160.

Abstract

The aim of this study was to quantify ESKAPEE bacteria, genes encoding resistance to antibiotics targeting this group of pathogens, as well as integrase genes in municipal wastewater and river water. Environmental DNA was extracted from the collected samples and used in deep sequencing with the Illumina TruSeq kit. The abundance of bacterial genera and species belonging to the ESKAPEE group, 400 ARGs associated with this microbial group, and three classes of integrase genes were determined. A taxonomic analysis revealed that Acinetobacter was the dominant bacterial genus, whereas Acinetobacter baumannii and Escherichia coli were the dominant bacterial species. The analyzed samples were characterized by the highest concentrations of the following ARGs: blaGES, blaOXA-58, blaTEM, qnrB, and qnrS. Acinetobacter baumannii, E. coli, and genes encoding resistance to β-lactams (blaVEB-1, blaIMP-1, blaGES, blaOXA-58, blaCTX-M, and blaTEM) and fluoroquinolones (qnrS) were detected in samples of river water collected downstream from the wastewater discharge point. The correlation analysis revealed a strong relationship between A. baumannii (bacterial species regarded as an emerging human pathogen) and genes encoding resistance to all tested groups of antimicrobials. The transmission of the studied bacteria (in particular A. baumannii) and ARGs to the aquatic environment poses a public health risk.

Keywords: ESKAPEE; antibiotic resistance; antibiotic resistance genes; river water; wastewater.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Acinetobacter baumannii* / genetics
  • Anti-Bacterial Agents / analysis
  • Anti-Bacterial Agents / pharmacology
  • Bacteria / genetics
  • Escherichia coli
  • Humans
  • Integrases
  • Poland
  • Wastewater*
  • Water / analysis

Substances

  • Anti-Bacterial Agents
  • Waste Water
  • Water
  • Integrases

Grants and funding

This research was founded by grants No. 2017/M/NZ9/00071 and 2017/27/B/NZ9/00267 from the Polish National Science Centre.