TY - JOUR
T1 - Application of Escherichia coli antibiotic resistance patterns for contamination source identification in watershed
AU - Yu, Tai Yi
AU - Chin, Ching Ju Monica
AU - Chang, Yu Jie
N1 - Publisher Copyright:
© 2018, Springer-Verlag GmbH Germany, part of Springer Nature.
PY - 2019/11/1
Y1 - 2019/11/1
N2 - 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.
AB - 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.
KW - Antibiotic resistance patterns (ARPs)
KW - Escherichia coli
KW - Hierarchical cluster analysis (HCA)
KW - Principal component analysis (PCA)
UR - http://www.scopus.com/inward/record.url?scp=85049906965&partnerID=8YFLogxK
U2 - 10.1007/s11356-018-2747-y
DO - 10.1007/s11356-018-2747-y
M3 - 期刊論文
C2 - 30008166
AN - SCOPUS:85049906965
SN - 0944-1344
VL - 26
SP - 33936
EP - 33945
JO - Environmental Science and Pollution Research
JF - Environmental Science and Pollution Research
IS - 33
ER -