The Surveillance of Antimicrobial Susceptibility Pattern and blaCTX-M Gene Encoding in Escherichia coli Isolated from Healthy Goat Farms in Sai Yok District, Kanchanaburi Province, Thailand
Keywords:
Escherichia coli, goat, Antimicrobial susceptibility, blaCTX-M, KanchanaburiAbstract
This observation study aimed to investigate the antimicrobial susceptibility pattern and blaCTX-M gene encoding in Escherichia coli isolates collected from healthy goat farms in Sai Yok District, Kanchanaburi Province, Thailand. By collecting 92 samples from rectal swabs from goats in 7 subdistricts in Sai Yok District, the bacterial identification, antimicrobial susceptibility test, and detection of the presence of blaCTX-M genes by conventional polymerase chain reaction (PCR) techniques were performed. Based on the results of the study, E. coli prevalence was found in 72.8% of the samples (n = 67). The prevalence rate of E. coli isolated from the samples from 6 subdistricts (85.7%) was higher than or equal to 50%. One influencing factor of the high E. coli detection was the person administering antimicrobial agents to goats (p < 0.001). The number of E. coli isolated from goats drinking water from natural sources was higher than that isolated from goats drinking from the tap water system (p < 0.038). The antimicrobial susceptibility of amoxicillin/clavulanic acid, imipenem, fluoroquinolones, piperacillin/tazobactam, and trimethoprim/sulfamethoxazole completely covered entire isolations. E. coli showed the highest resistance rate to cefotaxime (19.4%). The antimicrobial resistance (AMR) patterns were categorized by the number of antimicrobial agents into three patterns: one, two, and at least three AMRs (63%, 27%, and 10%, respectively). Every drug resistance pattern contained cefotaxime in all groups. The blaCTX-M gene was not found from all E. coli isolates. The study suggested the slightly high prevalence with the welling trend of AMR characteristics among the E. coli isolates collected from healthy goat farms in Sai Yok District, Kanchanaburi Province. Some influencing factors may be important for farm management to prevent the occurrence and spread of antimicrobial-resistant characteristics in goat farms.
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