Prevalence of veterinary antibiotics and antibiotic-resistant Escherichia coli in the surface water of a livestock production region in northern China.
This study investigated the occurrence of 12 veterinary antibiotics (VAs) and the susceptibility of Escherichia coli (E. coli) in a rural water system that was affected by livestock production in northern China. Each of the surveyed sites was determined with at least eight antibiotics with maximum concentration of up to 450 ng L(-1). The use of VAs in livestock farming probably was a primary source of antibiotics in the rivers. Increasing total antibiotics were measured from up- to mid- and downstream in the two tributaries. Eighty-eight percent of the 218 E. coli isolates that were derived from the study area exhibited, in total, 48 resistance profiles against the eight examined drugs. Significant correlations were found among the resistance rates of sulfamethoxazole-trimethoprim, chloromycetin and ampicillin as well as between tetracycline and chlortetracycline, suggesting a possible cross-selection for resistance among these drugs. The E. coli resistance frequency also increased from up- to midstream in the three rivers. E. coli isolates from different water systems showed varying drug numbers of resistance. No clear relationship was observed in the antibiotic resistance frequency with corresponding antibiotic concentration, indicating that the antibiotic resistance for E. coli in the aquatic environment might be affected by factors besides antibiotics. High numbers of resistant E. coli were also isolated from the conserved reservoir. These results suggest that rural surface water may become a large pool of VAs and resistant bacteria. This study contributes to current information on VAs and resistant bacteria contamination in aquatic environments particularly in areas under intensive agriculture. Moreover, this study indicates an urgent need to monitor the use of VAs in animal production, and to control the release of animal-originated antibiotics into the environment.
State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing, China.
Xuelian
X
Zhang
State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing, China.
Yanxia
Y
Li
State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing, China.
Bei
B
Liu
State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing, China.
Jing
J
Wang
State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing, China.
Chenghong
C
Feng
State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing, China.
Min
M
Gao
State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing, China.
Lina
L
Wang
D000383:Agriculture; D000820:Animal Diseases / Q000453:epidemiology / Q000382:microbiology; D000818:Animals; D000900:Anti-Bacterial Agents / Q000494:pharmacology; D002681:China / Q000453:epidemiology; D024881:Drug Resistance, Bacterial; D004784:Environmental Monitoring / Q000706:statistics & numerical data*; D004926:Escherichia coli / Q000187:drug effects / Q000302:isolation & purification*; D004927:Escherichia coli Infections / Q000662:veterinary; D058751:Livestock / Q000382:microbiology; D008826:Microbial Sensitivity Tests; D015995:Prevalence; D045483:Rivers / Q000737:chemistry / Q000382:microbiology; D014871:Water Microbiology; D014874:Water Pollutants, Chemical
D000900:Anti-Bacterial Agents; D014874:Water Pollutants, Chemical