Salmonella and Escherichia coli Prevalence in Meat and Produce Sold at Farmers' Markets in Northern California

Prevalence and Antimicrobial Characteristics of Escherichia coli in Selected Vegetables and Herbs in Bangkok, Thailand

Raw vegetables and herbs are exposure sources of foodborne pathogens. This study examined the prevalence and antimicrobial resistance of Escherichia coli in five types of fresh vegetables and herbs: spearmint (Mentha spicata), leaf lettuce (Lactuca sativa var. crispa), coriander (Coriandrum sativum), Chinese cabbage (Brassica rapa subsp. pekinensis), and cucumber (Cucumis sativus). Produce samples (n = 300) were acquired from local open markets and supermarkets in Bangkok, Thailand. Each produce sample was preenriched in buffered peptone water and then enriched in E. coli broth. A loopful of the second enrichment was transferred onto selective media for subsequent confirmation and biochemical tests. The Kirby-Bauer disk diffusion test was employed to assess E. coli susceptibility to selected antibiotics (twelve antibiotics of seven classes). The latex agglutination test was performed to serotype the isolates for O157 and H7 antigens. A commercial test kit was used to determine the presence of Shiga toxin-producing E. coli (STEC). For all samples, the prevalence of E. coli was found to be 32.0% (96/300), whereby produce from supermarkets had a higher prevalence than those from local markets at 40.7% (61/150) and 23.3% (35/150), respectively. Among different types of produce, leaf lettuce had the highest E. coli prevalence at 36.7% (22/60), followed by cucumber and spearmint, coriander, and Chinese cabbage, at 35.0% (21/60), 35.0% (21/60), 35.0% (21/60), and 18.3% (11/60), respectively. Of the positive isolates, 27.1% (26/96) showed multidrug resistance. All isolates (100%) showed resistance to penicillin but varying resistant characteristics for tetracycline, ampicillin, and amoxicillin, with resistance rates of 31.3% (30/96), 31.3% (30/96), and 31.3% (30/96), respectively. Two of the 96 isolates (1.1%) were positive for the O157 antigen but negative for the H7 antigen. No STEC was observed. This study established baseline information regarding the prevalence of E. coli and its antimicrobial resistance profile in produce in Bangkok, Thailand.

The Emergence of Colistin- and Imipenem-Associated Multidrug Resistance in Escherichia coli Isolates from Retail Meat

To determine the prevalence of Escherichia coli and their drug resistance profiles in fresh pork sold at two retail outlets (open-air market and closed retail stores) in Alice, South Africa. Retail meat samples (n = 176) collected from four shops (two from open-air markets and two from closed stores) were analyzed by conventional biochemical and PCR-based molecular confirmatory tests. The confirmed isolates were profiled for antimicrobial susceptibility to a panel of 12 commercial antibiotics: tetracycline, ampicillin, sulphamethoxazole trimethoprim, erythromycin, gentamycin, colistin sulphate, cefotaxime, chloramphenicol, norfloxacin, ciprofloxacin, cefuroxime, and imipenem. Colistin, ampicillin, and erythromycin resistance genes were profiled with the gene-specific primers. Multidrug resistance (MDR) and the association of imipenem and colistin in the MDR profile were determined. A total of 68 (39.08%) E. coli isolates were confirmed by PCR analysis. Resistance was most common to erythromycin (100%), followed by cefotaxime (95.58%), ampicillin (88.23%), cefuroxime (88.23%), trimethoprim-sulphamethoxazole (88.23%), and tetracycline (60.29%). Overall, 27/68 (39.70%) were MDR (≥ 3antibiotics classes). MDR E. coli isolates associated with imipenem resistance (50.00%) and colistin resistance (33.82%) were detected. The resistance genes were detected among the isolates though not in all the phenotypically resistant isolates. The detection of colistin resistance among MDR E. coli isolates from retail meat is troubling as the drug is a last resort antibiotic. Overall, the epidemiological implications of the findings are of public health importance.

Monitoring and Early Warning Analysis of the Epidemic Situation of Escherichia coli Based on Big Data Technology and Cloud Computing

The purpose of this study is to analyze the molecular epidemiological characteristics and resistance mechanisms of Escherichia coli. The study established a big data cloud computing prediction model for the epidemic mechanism of the pathogen. The study establishes the early warning, control parameters, and mathematical model of Escherichia coli infectious disease and monitors the molecular sequence of the pathogen based on discrete indicators. A nonlinear mathematical model equation was used to establish the epidemic trend model of Escherichia coli. The study shows that the use of the model can control the relative error at about 5%. The experiment proves the effectiveness of the combined model.