Data on antibiogram and resistance genes of Enterobacterales isolated from fresh vegetables in Ecuador

This article describes the occurrence, antibiograms, and detection of antibiotic resistance genes of Enterobacterales isolated from fresh vegetables commercialized in Riobamba, Ecuador. Escherichia coli isolates were screened to detect diarrheagenic pathotypes via PCR. Agar diffusion assay was performed to determine the phenotypic antibiotic resistance of the Enterobacterales strains. The presence of antibiotic resistance genes conferring resistance against beta-lactams, mobile colistin resistance, carbapenems, quinolones, tetracyclines, and sulphonamides was detected via PCR amplification.


Specifications
Microbiology: Bacteriology Specific subject area Food microbiology, antimicrobial resistance. Type of data

Value of the Data
• This data contributes information about the antibiotic resistance profiles on Enterobacterales strains isolated from raw vegetables that will facilitate pathogen surveillance in Ecuador and Latin America. • This data is useful for the scientific community to determine the presence of pathogenic E. coli isolates and antibiotic resistance genes, including mobile colistin resistance genes, carbapenemases, quinolone resistance genes, and extended-spectrum beta-lactamases present on Enterobacterales strains isolated from raw vegetables. • Researchers and policymakers involved with the work related to the One Health initiative could also benefit from this data for retrospective and comparative analysis or epidemiological surveillance projects.

Data Description
The data presented show the frequency of isolation of Enterobacterales in 152 samples of fresh vegetables in Riobamba, Ecuador ( Fig 1 ). The specific characteristics (date of sampling, type of vegetable, location) of the samples were reported in supplementary Table S1. One or two isolates from each sample were analyzed to avoid the isolation of clonal bacteria. One hundred ninetythree isolates were analyzed, the results of the isolates, samples and their biochemical tests were reported in supplementary Table S2. Among them, 97 isolates correspond to Escherichia coli and 96 isolates to other Enterobacterales .
To visualize the relative similarity of the antimicrobial resistance patterns of the isolates, a hierarchical cluster analysis was performed using the results of the antibiograms, where the phenotypes 'resistant', 'intermediate', and 'susceptible' were observed as red, white, and blue colors respectively. The complete information about the antibiotic resistance profiles and the phenotypic synergies were reported in supplementary Table S3. Figs. 2 and 3 represents the resistance profiles and the hierarchical clustering of E. coli and the rest of Enterobacterales respectively.    The detection of virulence genes that identify E. coli pathotypes (enterotoxigenic ETEC, enteropathogenic EPEC, enteroaggregative EAEC, enteroinvasive EIEC, enterohemorrhagic EHEC) and antibiotic resistance genes that confer resistance to beta-lactams, mobile colistin resistance, carbapenems, quinolones, sulfonamides, and tetracyclines were assessed via PCR. Primers and PCR conditions were listed in supplementary Table S4. Table 1 summarizes the number of potential E. coli pathotypes detected and Table 2 the description of the isolates that harbor beta-lactamase resistance genes. The complete information about pathotypes and resistance genes of the 193 isolates were reported in supplementary Table S5.

Enterobacterales strains
The samples were obtained from markets in the city of Riobamba and processed through an adaptation of the method described previously [1] : 30 grams of fresh and raw vegetables were taken, homogenized with 270 mL of peptone water, and incubated. at 37 °C for 24 hours. Subsequently, streaking was performed on Mac Conkey agar (Merck, Germany), Chromocult (Merck, Germany), and ChromAgar mSuperCARBA (Chromagar, France) which were incubated at 37 °C for 24 hours. One to three colonies with different morphologies of Enterobacterales were chosen per sample, to avoid the isolation of repetitive clones. The preliminary identification of the isolated Enterobacterales was carried out through biochemical tests: catalase, oxidase, TSI agar, Simmons citrate, lactose test, urea agar, indole production, methyl red test, and Voges-Proskauer. The interpretation of the results was carried out using the Bergey's Manual and the ABIS Automated Biometric Identification System software ( https://www.tgw1916.net/bacteria _ logare _ desktop.html ) that executes search tasks by making comparisons in a database that includes several biometric templates.

Phenotypic antibiotic resistance profiles
Antibiograms tested on the strains were determined by the agar disk diffusion method using commercially antibiotic disks (Thermo Scientific TM Oxoid TM and Bioanalyse) on Mueller-Hinton Agar (Thermo Scientific TM Oxoid TM ) according to the protocols of the U. S. Clinical and Laboratory Institute (CLSI), therefore, the diameter of the zones of inhibition was measured and interpreted as sensible or resistant by referring to CLSI breakpoints [2]

Detection of E. coli pathotypes and antibiotic resistance genes detection via PCR
The PCR test was performed according to the standardized protocol of the UTA RAM One Health research group [ 3 , 4 ]: 2.5 μL of DNA from each sample and 22.5 μL of PCR mix containing 12.5 μL DreamTaq PCR Master Mix (ThermoFisher Scientific, USA), 9 μL Nuclease-free water, 0.5 μL Primer 1 and 0.5 μL Primer 2 (final concentration of primers: 0.5 μM) were mixed to run PCR. The PCR conditions were reported in supplementary Table S4. PCR products were analyzed by 1.2% agarose gel electrophoresis stained by Sybr TM Safe DNA Gel Stain (ThermoFisher Scientific, USA).

Heatmaps and hierarchical clustering
Heatmaps and hierarchical clustering were performed using the complete linkage method through Euclidean correlation and sample leaf order optimization [3] . For this purpose, the MeV Multiexperiment Viewer software version 4.8.1 was used [5] .

Ethics Statements
This work does not involve the use of human subjects or animal experiments.

Declaration of Competing Interest
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Data Availability
Supplementary