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Updated: Aug 16, 2026

Isolation and Identification of Waterborne Antibiotic-Resistant Bacteria and Molecular Characterization of their Antibiotic Resistance Genes
Published on: March 3, 2023
Sourcing faecal pollution from onsite wastewater treatment systems in surface waters using antibiotic resistance
S Carroll1, M Hargreaves, A Goonetilleke
1School of Civil Engineering, Queensland University of Technology, GPO Box 2434, Brisbane, Queensland 4001, Australia. s.carroll@qut.edu.au
Aims:
To identify the sources of faecal contamination in investigated surface waters and to determine the significance of onsite wastewater treatment systems (OWTS) as a major contributor to faecal contamination.
Methods And Results:
Antibiotic resistance patterns (ARP) were established for a library of 717 known Escherichia coli source isolates obtained from human, domesticated animals, livestock and wild sources. Eight commonly used antibiotics, including amoxicillin, cephalothin, erythromycin, gentamicin, ofloxacin, chlortetracycline, tetracycline and moxalactam, at four different concentrations were used to obtain ARPs for E. coli isolates. Discriminant analysis (DA) was used to differentiate between the ARP of sources isolates. The developed ARP library was found to be adequate for discriminating human from nonhuman isolates, and was used to classify 256 enumerated E. coli isolates collected from monitored surface water locations.
Conclusions:
The resulting ARP DA indicated that a majority of the faecal contamination in more rural areas was nonhuman; however, the percentage of human isolates increased significantly in urbanized areas using OWTS for wastewater treatment.
Significance And Impact Of The Study:
This study signifies the feasibility of using ARP for source tracking faecal contamination in surface waters, and linking faecal contamination to OWTS. The information will enable regulatory authorities to implement appropriate management practices to reduce the contamination of water resources caused by high densities and failing OWTS.
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