Application of Escherichia coli antibiotic resistance patterns for contamination source identification in watershed

Tai Yi Yu, Ching Ju Monica Chin, Yu Jie Chang

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Spatial correlation of pollution of the water resource in Taipei, Taiwan, were examined by analyzing the antibiotic resistance patterns (ARPs) of 96 Escherichia coli colonies, which were isolated from 7 sampling sites in 3 river sections. The ARPs were the growth patterns of isolated E. coli colonies in the medium with seven kinds of antibiotics, including ampicillin, chlortetracycline, erythromycin, oxytetracycline, streptomycin, tetracycline, and salinomycin of different concentrations. The results showed that the survival rate of E. coli decreased with increasing concentration of antibiotics; however, various ARPs under different antibiotics of different concentrations significantly increased both the useful information and complexities. Hierarchical cluster analysis (HCA) and two-stage principal component analysis (PCA) were applied to analyze the spatial correlations and interrelations of distinct ARPs among sampling sites in this study. It was found that the seven sampling sites can be categorized into three groups which may represent three possible pollution characteristics.

Original languageEnglish
Pages (from-to)33936-33945
Number of pages10
JournalEnvironmental Science and Pollution Research
Volume26
Issue number33
DOIs
StatePublished - 1 Nov 2019

Keywords

  • Antibiotic resistance patterns (ARPs)
  • Escherichia coli
  • Hierarchical cluster analysis (HCA)
  • Principal component analysis (PCA)

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