Flavobacterium psychrophilum is the etiological agent of bacterial coldwater disease (BCWD), an important disease in the Ontario fish farming industry and in finfish aquaculture in temperate waters worldwide. The development of antimicrobial resistance by F. psychrophilum is a concern because management of outbreaks of BCWD often requires the use of antibiotics. Seventy-two isolates of F. psychrophilum collected over a 16-year period from farmed salmonids with clinical signs of BCWD were tested for susceptibility to 10 antimicrobial agents using cation-adjusted Mueller-Hinton broth in custom Trek Sensititre susceptibility plates for aquaculture. The minimum inhibitory concentrations (MICs) for the isolates were determined by means of a broth microdilution antimicrobial susceptibility testing method established by the Clinical and Laboratory Standards Institute. Most of the F. psychrophilum isolates had decreased susceptibility to two of the four antibiotics licensed for use in Ontario (i.e., ormetoprim-sulfadimethoxine [> or =0.5/9.5 .tg/mL for 93% of isolates] and trimethoprim-sulfamethoxazole [> or = 0.25/4.8 microg/mL for 89% of isolates]). High MIC values (> or =2 microg/mL) were obtained for florfenicol and oxytetracycline in 53% and 61% of the isolates, respectively, and 83% of the isolates were relatively susceptible (< or =16 microg/mL) to erythromycin. The MIC values were also high for ampicillin, oxolinic acid, and gentamicin.
Sulfonamide-resistant Escherichia coli and Salmonella isolates from pigs and chickens in Ontario and Québec were screened for sul1, sul2, and sul3 by PCR. Each sul gene was distributed differently across populations, with a significant difference between distribution in commensal E. coli and Salmonella isolates and sul3 restricted mainly to porcine E. coli isolates.Resistance to sulfonamides is frequent in bacteria from farm animals (7,8,9,10) and is usually caused by the acquisition of the genes sul1, sul2, and sul3 (20,22). The objectives of this study were (i) to assess the distribution of these genes in Escherichia coli and Salmonella enterica isolates in swine and chickens from two major provinces in Canada, (ii) to assess whether differences occur in the distribution of these genes among bacterial species found within two different animal host species, and (iii) to assess whether significant differences in the distribution of these genes are present between the commensal E. coli strains used as indicators for surveillance of antimicrobial resistance and the zoonotic Salmonella pathogens found in the same ecological niche. In contrast to previous studies, a multivariable logistic regression model was used to analyze the data, control for confounding factors, and assess the interaction effect between animal and bacterial species in terms of the probability of an isolate carrying a specific sul gene. The distribution of sulfonamide resistance genes among sulfonamideresistant E. coli (393 isolates from chickens and 311 from swine) and Salmonella (13 isolates from chickens and 221 from swine) isolates was assessed. These isolates were collected by the Canadian Integrated Program for Antimicrobial Resistance Surveillance (CIPARS) between 2003 and 2005 from ceca of apparently healthy animals at abattoirs in Ontario (n ϭ 435) and Québec (n ϭ 503). The methods used by CIPARS are presented in detail elsewhere (8-10). The isolates were screened with a previously published multiplex PCR for sul1, sul2, and sul3 (16). The sul1 and sul2 genes were found in E. coli and Salmonella isolates from both animal species. The sul3 gene was detected in both E. coli and Salmonella isolates from swine but only in E. coli isolates from chickens (Table 1). Three percent of the isolates had no detectable sul gene, 12.5% possessed two genes, and two isolates carried three genes (Table 1). Similar (2, 3, 14, 19) or higher (4, 11, 17) values for multiple genes have been reported by others. The overall higher prevalence of sul1 in Salmonella isolates and of sul2 and sul3 in E. coli isolates was in agreement with the results of previous studies (2-4, 11, 12, 14, 21).Three logistic regression models (Table 2)
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.