ABSTRACT
Occurrence of antimicrobial resistance (AMR) and antimicrobial resistance genes (ARGs) in Enterobacteriaceae and Acinetobacter spp. within agricultural environments represents a growing global health concern. Vegetables have been increasingly recognized as reservoirs of multidrug‐resistant (MDR) pathogens. The study aimed to detect ARGs in Enterobacteriaceae and Acinetobacter spp. from vegetable market chains and assess the clonal relationship of isolates. Antimicrobial susceptibility testing was conducted for a total of 170 isolates obtained from vegetables, irrigation water, and soil samples, and ARGs were detected by polymerase chain reaction (PCR). Conjugation assay was conducted, and genetic relatedness among bacterial isolates was assessed by ERIC‐PCR at a 70% similarity cut‐off. High resistance rate was observed to sulfamethoxazole/trimethoprim (34.0%) and cefepime (28.8%). Phenotypically, 23.5% (40/170) of isolates were extended spectrum β‐lactamase (ESBL) producers and from meropenem resistance isolates 60% (6/10) were carbapenemase producers. Genes encoding for broad‐spectrum β‐lactamases were detected in 30% (12/40) tested isolates, including those from irrigation water (50%; 3/6), vegetables (30.7%; 8/26) and soil (12.5%; 1/8) samples. Carbapenemase genes were detected in carbapenem resistant isolates from irrigation water (80%; 4/5) and vegetable (40%; 2/5) samples. The most prevalent β‐lactamase genes identified were blaCTX‐M and AmpC (n = 5 each), blaSHV (n = 2), and blaTEM (n = 1). Among carbapenemase genes blaNDM (n = 6) was frequently detected, and blaKPC and blaVIM in a single isolate each. A sul1 gene was identified in 33.3% of isolates from vegetable and 15.3% of those from irrigation water. Four transconjugants were detected and successfully transferred resistance genes with conjugation frequency ranging from 1.48 × 10−5 to 3.3 × 10−6 out of 15 tested. ERIC‐PCR revealed diverse clonal lineages, although K. pneumoniae , K. aerogenes and E. coli isolates from vegetables and irrigation water displayed close genetic similarity (100%, 70%, and 78%), respectively. This study provided the first evidence of diverse β‐lactamases and carbapenemase‐producing Enterobacteriaceae in Ethiopian vegetable market chains. These findings highlight the need for continued surveillance and improved food safety measures to mitigate potential public health risks posed by antimicrobial‐resistant pathogens in the food supply chain.
Keywords: Acinetobacter spp., antimicrobial resistance, Enterobacteriaceae, resistance genes, vegetables
Schematic overview of the study workflow explaining isolation of lactose‐fermenting Gram‐negative bacteria from farms and supermarkets, antimicrobial susceptibility testing, detection of resistance genes by PCR, and ERIC‐PCR to evaluate genetic diversity and relatedness among isolates.

1. Introduction
The emergence and spread of multidrug‐resistant (MDR) Enterobacteriaceae and their genetic markers have increased significantly within both clinical as well as environmental settings, largely as a consequence of antimicrobial overuse (Pintor‐Cora et al. 2023; Richter et al. 2020). These organisms harbor antimicrobial resistance genes (ARGs) that severely limit treatment options. Resistance in MDR Enterobacteriaceae is commonly conferred by plasmid‐mediated enzymes, including ESBLs, AmpC β‐lactamases, and carbapenemases, which are capable of hydrolyzing third‐ and fourth‐generation cephalosporins and carbapenems (Balkhed 2014; Colosi et al. 2020; Ye et al. 2017). Among ESBLs, enzymes belonging to the family of TEM, SHV, and CTX‐M are the most frequently reported (Bush and Jacoby 2010; Coque et al. 2008; Ye et al. 2017).
Enterobacteriaceae constitute a large family of opportunistic pathogens, commonly inhabiting the intestinal tracts of humans and animals as well as diverse environmental niches (Balkhed 2014; Ye et al. 2017). Increasing evidence indicates that vegetables, irrigation water, soil, and animal manure act as important reservoirs of β‐lactamase‐producing Enterobacteriaceae and other opportunistic pathogens such as Acinetobacter spp. (Beshiru et al. 2023; Carvalheira et al. 2017; Pintor‐Cora et al. 2023; Richter et al. 2020; Son et al. 2024; Usui et al. 2019). The presence of ARGs on transferable mobile genetic elements further facilitates their dissemination (El‐Shazly et al. 2017; Usui et al. 2019). In recognition of these risks, WHO and FAO have issued warnings regarding the potential hazards of consuming fresh fruits and vegetables contaminated with resistant bacteria (FAO and WHO 2023).
The use of untreated irrigation water, contaminated soil, and animal manure in agricultural practices contributes directly to the contamination of vegetables with MDR Enterobacteriaceae and Acinetobacter spp. carrying resistance genetic markers (Al‐Kharousi et al. 2019; Son et al. 2024; Ye et al. 2017). Consumption of such contaminated fresh vegetables poses a risk of transmitting resistant organisms and resistance genetic markers to the human gut microbiota (Ye et al. 2017). Several studies from China, Japan, South Africa, Saudi Arabia, and Spain have reported the widespread occurrence of ESBL/AmpC‐producing Enterobacteriaceae and ARGs in vegetables and agricultural environments (Beshiru et al. 2023; Junaid et al. 2022; Pintor‐Cora et al. 2023; Richter et al. 2020; Usui et al. 2019; Ye et al. 2017).
In Ethiopia, recent studies have described the AMR profile and resistance genetic markers in E. coli isolated from lettuce, animal manure, and soil (Hailu et al. 2024). Additionally, phenotypic detection of β‐lactamase‐producing Enterobacteriaceae from market vegetables has been reported (Asfaw et al. 2023). The rapid spread of MDR bacteria in Ethiopia has been linked to the absence of regular surveillance systems and limited antibiotic stewardship programs (Kiros et al. 2021). This highlights the urgent need for more comprehensive data on the dissemination of AMR, ESBL/AmpC‐producing strains in fresh produce, as well as agricultural environments, leveraging the One Health approach.
Despite growing global evidence, knowledge regarding the occurrence and type of ARGs in circulating MDR Enterobacteriaceae and Acinetobacter spp. in Ethiopian vegetable market chains remains limited. Therefore, this study aimed to identify and characterize Enterobacteriaceae and Acinetobacter spp. in commonly consumed vegetables (from farms and supermarkets), irrigation water, and soil samples collected from farms in Addis Ababa city and the Oromia region, one of the country's major vegetable‐producing areas.
2. Methods
2.1. Sampling Sites and Sample Collection
Samples were collected from two GLOBAL G.A.P certified farms, and four smallholder farms in Oromia region (Holeta, Bishoftu, Koka, Sheger city), and six supermarkets in Addis Ababa, Ethiopia. With the exception of one Global‐GAP certified farm, all farms used untreated river water for irrigation and holding dams. In total 408 samples were collected, including 24 irrigation water, 48 soil and 336 vegetable samples.
Fresh vegetable samples (lettuce, carrot, cabbage, and tomato (150 g each)) were collected in sterile zippered plastic bags and transported to the Microbiology Laboratory, College of Natural and Computational Sciences, Addis Ababa University for analysis. Soil samples were collected from three random sites per field from three plots (0–20 cm depth), each 6 m apart. Five subsamples from each plot were pooled to obtain one composite soil sample of 250 g. Water was sampled at the inlet point prior to storing in a holding dam at the point of irrigation using 500 mL sterile bottles. All aseptically collected samples were transported to the laboratory using an ice box containing an ice pack.
2.2. Isolation and Identification of Enterobacteriaceae and Acinetobacter spp.
A150 g portion of each vegetable samples were placed in 150 mL of buffered peptone water (BPW) at a 1:1 w/v ratio, while lettuce (25 g each) was placed in 250 mL BPW at a 1:10 w/v ratio and incubated at 37°C for 18–24 h for the isolation of Enterobacteriaceae and Acinetobacter spp. (Richter et al. 2019). Similarly, 10 g of each composite sample were placed into 90 mL of sterile BPW and homogenized thoroughly to form a suspension. The enrichment samples were incubated at 37°C for 18–24 h for the detection of presumptive Enterobacteriaceae and Acinetobacter spp. (Zekar et al. 2017). Similarly, 1 mL of water sample was pre‐enriched in nine milliliters of BPW and incubated at 37°C for 3 to 4 h before inoculation on selective media (Richter et al. 2020).
Enriched samples were streaked onto MacConkey agar and Eosin Methylene Blue agar and incubated overnight at 37°C. Presumptive isolates were purified and initially identified based on IMViC biochemical tests for Enterobacteriaceae, and by colony morphology and oxidase test for Acinetobacter spp. Final confirmation of bacterial species was performed using matrix‐assisted laser desorption/ionization time‐of‐flight mass spectrometry (MALDI‐TOF MS; Bruker, Bremen, Germany) (Schaumann et al. 2013).
2.3. Antimicrobial Susceptibility Testing
Antimicrobial susceptibility testing was conducted using the Kirby‐Bauer disk diffusion method following Clinical and Laboratory Standards Institute's (CLSI) guidelines (CLSI 2024). Sixteen antimicrobials were tested: piperacillin/tazobactam (100/10 μg), amoxicillin/clavulanic acid (20/10 μg), gentamicin (10 μg), amikacin (30 μg), tetracycline (30 μg), ampicillin (10 μg), cefazolin (30 μg), cefoxitin (30 μg), ceftazidime (30 μg), ceftriaxone (30 μg), cefepime (30 μg), meropenem (10 μg), ciprofloxacin (5 μg), sulfamethoxazole/trimethoprim (23.75/1.25 μg), Cefotaxime (30 μg), and chloramphenicol (30 μg) (Sensi Discs, Becton, Dickinson and Company, Loveton, USA). E. coli ATCC 25922 was used as a quality control strain. The inhibition zones were measured using caliper and interpreted as resistant, intermediate, or susceptible as per CLSI guidelines (CLSI 2024).
2.4. Detection of Extended‐Spectrum β‐Lactamase Production
Isolates exhibiting intermediate or full resistance to 2nd or 3rd generation cephalosporins were screened for ESBL production using double‐disc synergy test (DDST) (Drieux et al. 2008). Amoxicillin‐clavulanate (20/10 μg) and ceftazidime (30 μg) discs were kept 20 mm apart. Synergy, indicated by expansion of the inhibition zone of ceftazidime towards amoxicillin/clavulanate, was interpreted as positive for ESBL production (Kaur et al. 2013). All isolates exhibiting the ESBL phenotypes were subsequently tested by PCR for the presence of different β‐lactamase encoding genes like blaTEM, blaSHV, blaCTX‐M, and AmpC‐type β‐lactamase genes.
2.5. Detection of Carbapenemase Production
Carbapenemase activity was assessed using the modified carbapenem inactivation assay (mCIM), following CLSI guidelines (CLSI 2024) for those Enterobacteriaceae species resistant to meropenem. Briefly, meropenem (10 μg) discs were immersed in test tubes containing bacterial suspensions prepared in Mueller–Hinton broth and incubated for 4 h at 37°C. The discs were then placed on Mueller–Hinton agar plates swabbed with E. coli ATCC 25922 and incubated at 37°C for 18–24 h. Carbapenemase production was considered positive if the inhibition zone measured 6–15 mm, or if colonies were present within a 16–18 mm zone.
2.6. Identification of Antimicrobial Resistance Genes
Single colonies of Enterobacteriaceae and Acinetobacter spp. isolates were cultured overnight in 10 mL Luria–Bertani (LB) broth under shaking at 200 rpm. Cells were harvested by centrifugation (12,500× g, 10 min), and genomic DNA was extracted using the phenol–chloroform method (Chen and Tsong 1993). Isolates showing phenotypic resistance to tetracycline, ciprofloxacin, sulfonamides, meropenem, ampicillin, or cefotaxime were screened for 16 ARGs by conventional PCR including genes encoding for tetracycline (tetA and tetB), quinolone (qnrA, qnrB, and qnrS), sulfonamides (sul1 and sul2), β‐lactamases (blaTEM, blaSHV, blaCTX‐M, and AmpC). PCR products were visualized by agarose gel electrophoresis. Primer sequences and PCR conditions used, and amplicon size of the PCR products are shown in Table S1.
2.7. Genomic Fingerprinting of Enterobacteriaceae and Acinetobacter spp. by ERIC‐PCR
Selected Enterobacteriaceae and Acinetobacter spp. β‐lactamase and carbapenemase producers were subjected to repetitive sequence‐based PCR (ERIC‐PCR) to generate genomic fingerprints from all sampling sources. PCR reactions were carried out at a total volume of 25 μL, containing 2X GoTaq Green Master Mix (Promega Corp. USA), 0.2 μM of each primer, and 50 ng (2 μL) of template DNA. The primers used were ERIC1R (5′‐ATG TAA GCT CCT GGG GAT TCA C‐3′) and ERIC2 (5′‐AAG TAA GTG ACT GGG GTG AGC G‐3′) (Sekhar et al. 2017). Amplification conditions and cycling parameters followed the protocol described by Sekhar et al. (2017). PCR products were separated on 1.5% agarose gel and visualized under UV illumination. Clonal relatedness was assessed using ERIC‐PCR with a 70% similarity threshold applied for clustering.
2.8. Conjugation Assay and Plasmid Isolation
Conjugation assay was performed using the broth mating method (Ozgumus et al. 2008). E. coli J53‐2 (ampicillin sensitive and rifampicin resistant) was used as the recipient strain. A total of 15 donor isolates, either positive for β‐lactamase production and/or carbapenemase enzyme, were selected. Transconjugants were selected on LB agar containing rifampicin (300 μg/mL) and ampicillin (200 μg/mL). Conjugation frequency was calculated as the number of transconjugants per donor cell.
Plasmid DNA was isolated from both donor and transconjugants using the alkaline lysis method (Manniatis et al. 1982). The size of the plasmids was estimated by comparing plasmid marker ( E. coli V517) with each purified sample (transconjugant and donor cell) on 1% agarose gel at 70 V for 2 h. Plasmid DNA from transconjugants was subsequently used as a template for PCR amplification of resistance genes. Donor isolates carrying AmpC, blaTEM, blaSHV, blaCTX‐M, and carbapenemase genes served as positive controls. Transconjugants were further subjected to antimicrobial susceptibility testing, and their phenotypic resistance profiles were compared with those of donor strains to confirm successful transfer.
2.9. Statistical Analysis
Data was compiled in Microsoft Excel and analyzed using descriptive statistics, including percentage distributions. Antimicrobial susceptibility profiles and associated resistance genes across sample types were visualized as a heatmap using Python software (version 3.11). ERIC PCR fingerprint data were analyzed with GelJ software (version 2.0). Dendrograms were constructed using the Jaccard similarity coefficient and the unweighted pair group method with arithmetic mean (UPGMA).
3. Results
3.1. Antimicrobial Susceptibility Profiles
Susceptibility of the 170 bacterial isolates to different antimicrobials varied by species (Table 1). E. coli (15/45; 33.3%) exhibited high rate of resistance to ampicillin and amoxicillin/clavulanic acid, whereas Klebsiella aerogenes (9/9; 100%) showed high resistance rate to cefoxitin. The highest rate of resistance was recorded for K. oxytoca to piperacillin/tazobactam (2/3; 66.7%). Notable high resistance rates included Citrobacter braakii to ceftazidime (3/5; 60%), E. coli to sulfamethoxazole/trimethoprim (28/45; 62.2%), K. pneumoniae to meropenem (5/32; 15.6%), ciprofloxacin (12/32; 37.5%), and Citrobacter freundii to tetracycline (10/16; 62.5%). Overall, resistance to sulfamethoxazole/trimethoprim was highest across all isolates from different species (58/170; 34%), followed by cefepime (49/170; 28.8%), cefoxitin and ceftazidime (44/170; 25.8%).
TABLE 1.
Antimicrobial resistance profile of the Enterobacteriaceae and Acinetobacter spp. isolated from vegetables, irrigation water and soil samples.
| Species of bacteria | Number and (%) resistant to antimicrobial tested | |||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| AMP | AMC | PTZ | GM | AK | TE | CZ | FOX | CTX | CAZ | CRO | FEP | MEM | CIP | SXT | C | |
| A. baumannii (5) | NA | NA | 1 (20) | 0 | 2 (40) | 0 | 0 | 1 (20) | 1 (20) | 1 (20) | 1 (20) | 0 | 0 | 0 | 3 (60) | NA |
| A. pittii (12) | NA | NA | 3 (25) | 4 (33.3) | 3 (25) | 3 (25) | 5 (41.6) | 1 (8.3) | 2 (16.6) | 4 (33.3) | 4 (33.3) | 3 (25) | 0 | 2 (16.6) | 2 (16.6) | NA |
| A. junii (1) | NA | NA | 0 | 1 (100) | 1 (100) | 0 | 0 | 0 | 0 | 0 | 1 (100) | 0 | 0 | 0 | 0 | NA |
| C. braakii (5) | NA | NA | 0 | 1 (20) | 0 | 1 (20) | NA | 3 (60) | 1 (20) | 3 (60) | 0 | 0 | 0 | 1 (20) | 0 | 0 |
| C. freundii (16) | NA | NA | 3 (19) | 3 (19) | 0 | 10 (62.5) | NA | NA | 3 (19) | 4 (25) | 7 (44) | 5 (31.3) | 0 | 4 (25) | 4 (25) | 2 (12.5) |
| E. asburiae (17) | NA | NA | 3 (17.6) | 3 (17.6) | 0 | 4 (23.5) | NA | NA | 4 (23.5) | 5 (29.4) | 2 (11.7) | 3 (17.6) | 1 (5.8) | 4 (23.5) | 2 (11.7) | 2 (11.7) |
| E. bugandensis (4) | NA | NA | 0 | 0 | 0 | 0 | NA | NA | 1 (25) | 2 (50) | 1 (25) | 2 (50) | 0 | 0 | 0 | 0 |
| E. cloacae (5) | NA | NA | 2 (40) | 2 (40) | 0 | 0 | NA | NA | 0 | 0 | 1 (20) | 2 (40) | 0 | 0 | 1 (20) | 0 |
| E. coli (45) | 15 (33.3) | 15 (33.3) | 15 (33.3) | 10 (22.2) | 1 (2.2) | 12 (26.7) | 4 (9) | 7 (15.6) | 7 (15.6) | 12 (26.7) | 15 (33.3) | 22 (48.9) | 4 (9) | 9 (20) | 28 (62.2) | 4 (8.9) |
| E. kobei (4) | NA | NA | 0 | 0 | 0 | 0 | NA | NA | 0 | 0 | 0 | 0 | 0 | 0 | 1 (25) | 0 |
| K. aerogenes (9) | NA | NA | 3 (33.3) | 1 (11.1) | 0 | 2 (22.2) | NA | 9 (100) | 3 (33.3) | 4 (44.4) | 1 (11.1) | 3 (33.3) | 0 | 3 (33.3) | 5 (55.5) | 0 |
| K. oxytoca (3) | NA | 2 (66.7) | 2 (66.7) | 2 (66.7) | 0 | 0 | 2 (66.7) | 1 (33.3) | 1 (33.3) | 1 (33.3) | 1 (33.3) | 2 (66.7) | 0 | 0 | 0 | 0 |
| K. pneumoniae (32) | NA | 5 (15.6) | 7 (21.9) | 3 (9.4) | 1 (3.1) | 4 (12.5) | 2 (6.3) | 15 (46.9) | 5 (15.6) | 5 (15.6) | 6 (18.8) | 4 (12.5) | 5 (15.6) | 12 (37.5) | 11 (34.4) | 3 (9.4) |
| K. variicola (12) | NA | 5 (41.6) | 2 (16.6) | 5 (41.6) | 2 (16.6) | 4 (33.3) | 5 (41.6) | 7 (58.3) | 1 (8.3) | 3 (25) | 5 (41.6) | 3 (25) | 0 | 3 (25) | 1 (8.3) | 2 (16.6) |
| Total (170) | 15 (8.8) | 27 (15.8) | 41 (24) | 35 (20.5) | 10 (5.8) | 40 (23.5) | 18 (10.5) | 44 (25.8) | 29 (17) | 44 (25.8) | 45 (26.4) | 49 (28.8) | 10 (5.8) | 38 (22.3) | 58 (34) | 13 (7.6) |
Abbreviations: AK, Amikacin; AMC, Amoxicillin/clavulanic acid; AMP, Ampicillin; C, Chloramphenicol; CAZ, Ceftazidime; CIP, Ciprofloxacin; CRO, Ceftriaxone; CTX, Cefotaxime; CZ, Cefazolin; FEP, Cefepime; FOX, Cefoxitin; GM, Gentamicin; MEM, Meropenem; NA, not applicable; PTZ, Piperacillin/Tazobactam; SXT, Sulfamethoxazole/Trimethoprim; TE, Tetracycline.
3.2. ESBL and Carbapenemases Production
The ESBL phenotype was detected in 23.5% (40/170) of the Enterobacteriaceae (n = 38) and Acinetobacter spp. (n = 2) isolates that exhibited intermediate or full resistance to third‐generation cephalosporins. Detection of ESBLs was highest among isolates obtained from soil 29.6% (8/27) followed by those from irrigation water 25% (6/24) and those from vegetables 21.8% (26/119), although this difference was not statistically significant (p = 0.67). The distribution of ESBL producing bacterial species is summarized in Table 2.
TABLE 2.
Rate of occurrence of ESBL production among Enterobacteriaceae and Acinetobacter spp. using a double disc synergy test.
| Bacteria species | DDST result | No. positive | %Positive | Sampling type for positive isolates | ||
|---|---|---|---|---|---|---|
| No. tested | Vegetables (n = 119) | Water (n = 24) | Soil (n = 27) | |||
| A. baumannii | 5 | 0 | 0 | — | — | — |
| A. pittii | 7 | 2 | 28.5 | 2 | — | — |
| C. braakii | 4 | 1 | 25 | 1 | — | — |
| C. freundii | 13 | 0 | 0 | 0 | — | 0 |
| E. coli | 39 | 12 | 30.7 | 9 | 2 | 1 |
| E. asburiae | 27 | 5 | 18.5 | 1 | 2 | 2 |
| E. bugandensis | 7 | 2 | 14.2 | 1 | — | 1 |
| E. cloacae | 8 | 3 | 37.5 | 2 | — | 1 |
| E. kobei | 4 | 3 | 75 | 2 | — | 1 |
| K. aerogenes | 9 | 2 | 22.2 | 2 | — | — |
| K. oxytoca | 3 | 0 | 0 | — | — | — |
| K. pneumoniae | 32 | 8 | 25 | 4 | 2 | 2 |
| K. variicola | 12 | 2 | 16.6 | 2 | — | — |
| Total | 170 | 40 (23.5) | 26 (21.8) | 6 (25) | 8 (29.6) | |
Abbreviation: DDST, double disc synergy test.
Phenotypic carbapenemase production was confirmed using the mCIM test in 60% (6/10) of Enterobacteriaceae isolates resistant to meropenem. Among these carbapenemase‐producing isolates, the majority were from irrigation water (3 K. pneumoniae and 1 E. coli ), whereas 2 K. pneumoniae isolates were from vegetables. None of the isolates from soil were phenotypically positive for carbapenemase production (Table 3).
TABLE 3.
Distribution of carbapenemase producing isolates among vegetables, irrigation water and soil samples.
| Bacteria species | mCIM | Sampling type for positive isolates | ||
|---|---|---|---|---|
| No. positive % | Vegetables (n = 5) | Water (n = 5) | Soil (n = 0) | |
| E. coli | 1 (25) | — | 1 | — |
| E. asburiae | 0 (0) | — | — | — |
| K. pneumoniae | 5 (100) | 2 | 3 | — |
| Total | 6 (60) | 2 (40) | 4 (80) | 0 (0) |
Abbreviation: mCIM, modified carbapenem inactivation assay.
3.3. Genetic Markers Associated With Antimicrobial Resistance Among Enterobacteriaceae and Acinetobacter spp.
Phenotypically resistant Enterobacteriaceae and Acinetobacter spp. were screened for their respective genetic markers. Overall, β‐lactamase genes were detected in 30% (12/40) tested isolates, including those from vegetables (30.7%; 8/26), irrigation water (50%; 3/6), and soil (12.5%; 1/8). These isolates mainly comprise E. coli (n = 4), K. pneumoniae (n = 4), K. variicola (n = 2), K. aerogenes (n = 1), and Citrobacter braakii (n = 1). Among them, 58.3% (7/12) carried blaCTX‐M, blaTEM, and blaSHV, while 12.5% (5/12) harbored AmpC β‐lactamase genes. The most prevalent β‐lactamase genes identified were blaCTX‐M and AmpC (each n = 5), followed by blaSHV (n = 2) and blaTEM (n = 1). Carbapenemase‐associated genes were detected in 60% (6/10) tested isolates, specifically in those from irrigation water (80%; 4/5) and vegetables (40%; 2/5). E. coli from all sampling sources displayed diverse resistance genes. Vegetable‐derived isolates carried blaTEM and blaCTX‐M, whereas one isolate from irrigation water harbored multiple resistance determinants, including AmpC and carbapenemase genes (KPC, NDM, and VIM). Another vegetable‐derived E. coli isolate carried AmpC (Figure 1). C. braakii isolates detected from vegetables carried blaSHV genes (Figure 2).
FIGURE 1.

Heatmap of phenotypic resistance pattern and their genetic determinant of selected resistance phenotype of E. coli . AK, Amikacine; AMC, Amoxicillin/clavulanic acid; AMP, Ampicillin; C, Chloramphenicol; CAZ, Ceftazidime; CIP, Ciprofloxacin; CRO, Ceftriaxone; CTX; Cefotaxime; CZ; Cefazolin; FEP, Cefepime; FOX, Cefoxitin; GM, Gentamicin; MEM, Meropenem; PTZ, Piperacillin/Tazobactam; SXT, Sulfamethoxazole/Trimethoprim; TE, Tetracycline.
FIGURE 2.

Heatmap of phenotypic resistance pattern and their genetic determinant of selected resistance phenotype of A. baumannii , A. pittii , C. braakii , C. freundii , E. asburiae , E. bugandensis, E. cloacae , E. kobei . AK, Amikacine; AMC, Amoxicillin/clavulanic acid; AMP, Ampicillin; C, Chloramphenicol; CAZ, Ceftazidime; CIP, Ciprofloxacin; CRO, Ceftriaxone; CTX, Cefotaxime; CZ, Cefazolin; FEP, Cefepime; FOX, Cefoxitin; GM, Gentamicin; MEM, Meropenem; PTZ, Piperacillin/Tazobactam; SXT, Sulfamethoxazole/Trimethoprim; TE, Tetracycline.
Sulfonamide resistance genes, primarily sul1, were found in 22.5% (14/62) of SXT resistant isolates, including vegetables (33.3%; 12/36) and irrigation water (15.3%; 2/13), whereas sul2 was not detected in any of the isolates. Majority of the sul1 gene was detected from E. coli isolates (n = 10), most of them from isolates originating from vegetables. None of the isolates tested carried OXA‐48 like, IMP, tetA, tetB, qnrA, qnrB, and qnrS genes.
Our results showed that the K. pneumoniae detected from vegetables carried the NDM, sul1 gene, while isolates from irrigation water harbored blaCTX‐M, NDM, and those from soil carried AmpC resistance genes. Notably, a single K. pneumoniae isolated from irrigation water carried three resistance determinants, including sul1, AmpC, and NDM. In addition, one vegetable‐derived isolate carried both sul1 and blaSHV genes. Among other species, two K. aerogenes from vegetables were positive for blaCTX‐M and sul1 genes, while two K. variicola isolates from vegetables carried blaCTX‐M genes (Figure 3).
FIGURE 3.

Heatmap of phenotypic resistance pattern and their genetic determinant of selected resistance phenotype of K. pneumoniae , K. aerogenes , K. variicola , K. oxytoca . AK, Amikacine; AMC, Amoxicillin/clavulanic acid; AMP, Ampicillin; C, Chloramphenicol; CAZ, Ceftazidime; CIP, Ciprofloxacin; CRO, Ceftriaxone; CTX, Cefotaxime; CZ; Cefazolin; FEP, Cefepime; FOX, Cefoxitin; GM, Gentamicin; MEM, Meropenem; PTZ, Piperacillin/Tazobactam; SXT, Sulfamethoxazole/Trimethoprim; TE, Tetracycline.
3.4. Genomic Fingerprinting of Enterobacteriaceae and Acinetobacter spp. by ERIC‐PCR
E. coli isolates from vegetables (ETECO 200) and soil (ETECO 201) collected from the same farm shared 72% similarity in DNA fingerprinting patterns (Figure 4; strain number correspond to Table S2). Likewise, E. coli isolates from vegetables (ETECO 212) and irrigation water (ETECO 219) obtained from the same farm showed a high degree of relatedness (78% similarity). In addition, E. coli isolates from market vegetables (ETECO 211) and farm vegetables (ETECO 177) exhibited identical patterns. Although collected from different farms, two E. coli isolates, one from vegetable (ETECO 183) and the other from soil (ETECO 185), were closely related. Despite these instances of clonal similarity, most E. coli isolates from vegetables, soil, and irrigation water exhibited diverse ERIC‐PCR profiles, suggesting heterogeneity of strains circulating within farms and markets.
FIGURE 4.

Dendrogram showing fingerprinting profiles of E. coli phenotypically ESBL/AmpC and carbapenems producer strains isolated from Farms and markets (vegetable, soil and irrigation water samples). The profiles were obtained with ERIC‐PCR.
A total of 15 K. pneumoniae isolates were screened and isolates from vegetables (ETKP 35 and ETKP37) obtained from different farms exhibited 100% clonal similarity values. Similarly, ETKP57 and ETKP61 isolated from vegetables on the same farm showed a closely related banding pattern. Similarity at 76% was observed in K. pneumoniae isolates from two different markets (ETKP43 and ETKP56). On the other hand, K. pneumoniae isolated from irrigation water (ETKP33) and vegetables (ETKP36) from different farms showed 72% clonal similarity. However, K. pneumoniae isolated from vegetables (ETKP24), soil (ETKP26, ETKP58), and irrigation water (ETKP41, ETKP42) from different farms showed more diverse fingerprint patterns (Figure S1; strain numbers correspond to Table S3).
The three K. variicola isolated from vegetables were not clonally related. Two E. asburiae isolated from vegetables (ETEA103) and irrigation water (ETEA108) on two different farms, showed identical patterns, whereas the remaining isolates showed different patterns (Figure S2; strain numbers correspond to Table S4). K. aerogenes (ETKA66 and ETKA67) isolated from vegetables on same farms exhibited related DNA fingerprinting patterns. But a different band pattern was observed in a single K. aerogenes (ETKA65) isolated from the market. A. pittii (ETAP6) isolated from a farm and (ETAP8, ETAP17, and ETAP18) market vegetable sample showed diverse clonal relationships. Likewise, A. baumannii isolated from irrigation water (ETAB2 and ETAB3), and soil (ETAB5) were genetically distinct variants. Moreover, all E. bugandensis (ETEB99, ETEB101, and ETEB137) species isolated from soil and market showed more diverse clonal relatedness (Figure S3; strain numbers correspond to Table S5). E. kobei isolated from vegetables (ETEK 126) and soils (ETEK127) from the same farm showed genetic relatedness at 83% similarity (Figure S4; strain numbers correspond to Table S6).
3.5. Transfer of Phenotypic Resistance and β‐Lactamase and Carbapenemase Encoding Genes
Out of 15 isolates for which conjugation assay was conducted, 4 of them were able to transfer genetic mobile elements to the transconjugants. All transconjugants showed similar resistance profile with the donor strain (Table 4). The only exception is strain of E. coli (ETECO160) which exhibited transfer of resistance profile except for ceftazidime to the transconjugant. The result of this experiment also showed that a total of β‐lactamase and carbapenemase genes producing isolates were able to transfer their β‐lactamase and carbapenemase genes to recipient ( E. coli J53‐2) by conjugation at the range of 1.48 × 10−5 to 3.3 × 10−6 conjugation frequency (Table 4). The gel electrophoresis of donor strains and transconjugants yielded a single band with the same plasmid size around 50 kb (Figure S5).
TABLE 4.
Conjugation frequency and resistance profile of transconjugants.
| Transconjugant | Phenotype resistance profile | bla genes | Frequency of transfer (cfu/recipient) | |
|---|---|---|---|---|
| Donor | Transconjugants | |||
| TXG42 | CRO, AMP, CAZ, AMC, FEP, MEM, PTZ, FOX, SXT, GM, C | CRO, AMP, CAZ, AMC, FEP, MEM, PTZ, FOX, SXT, GM, C | NDM, AmpC | 3.3 × 10−6 |
| TXG160 | PTZ, FOX, CAZ, CTX | PTZ, FOX, CTX | SHV | 2.13 × 10−5 |
| TXG169 | PTZ, FOX, CTX | PTZ, FOX, CTX | CTX‐M and TEM | 1.4 × 10−5 |
| TXG200 | CAZ, AMP, AMC, TE, SXT, FEP, PTZ, CTX | CAZ, AMP, AMC | AmpC | 2.2 × 10−4 |
Abbreviations: AMC, Amoxicillin+clavulanic acid; AMP, Ampicillin; C, Chloramphenicol; CAZ, Ceftazidime; CRO, Ceftriaxone; CTX, Cefotaxime; FEP, Cefepime; FOX, Cefoxitin; GM, Gentamicin; MEM, Meropenem; PTZ, Piperacillin/Tazobactam; SXT, Sulfamethoxazole/Trimethoprim; TE, Tetracycline.
4. Discussion
The present investigation provides insight into antimicrobial resistance profile and genetic markers associated with β‐lactamase and carbapenemase production and other resistance genes among Enterobacteriaceae and Acinetobacter spp. within the production environment and vegetable market chains. The majority of E. coli isolates in this study were resistant to sulfamethoxazole/trimethoprim (62.2%), similar to the previous report (56%) from Addis Ababa (Hailu et al. 2024), whereas resistance to ampicillin (33.3%) and amoxicillin/clavulanic acid (33.33%) is relatively low, contrary to a previous report, which was 52% and 43%, respectively (Hailu et al. 2024). The observed difference in the resistance profile of E. coli could be associated with variation in agricultural practices and environmental factors. The previous study was conducted in Addis Ababa where farmers use animal manure as fertilizer, which could be the source of exposure to antimicrobial resistant organisms and genetic markers from animals treated with antimicrobial agents, increasing selection pressure.
Resistance to meropenem was observed in 6.5% (10/152) of Enterobacteriaceae strains in the current study, closely related to the previous study which reported 13.7% among gram‐negative organisms isolated from vegetables sold at Debre Berhan town, Ethiopia (Asfaw et al. 2023). On the other hand, no resistance to meropenem was reported from a similar previous study in Addis Ababa, Ethiopia (Hailu et al. 2024). In our study, the highest rate of resistance was recorded across all isolates in vegetables, irrigation water, and soil samples to sulfamethoxazole/trimethoprim 34% (58/170) and cefepime 28.8% (49/170). This shows a potential route for the dissemination of bacterial strains and associated resistance genes from the agricultural environment to humans through the food chain. Moreover, this shows how the agricultural environment may serve as a reservoir for multidrug resistance to opportunistic human pathogens in vegetable production.
Detection of β‐lactamase encoding gene producers in vegetables, irrigation water and soil at a rate of over 21% in the current study is relatively comparable with a previous report from small holder vegetable farms from South Africa (Viviers et al. 2025), among ESBL producing ESKAPE‐E pathogens isolated from vegetables (54%), soil (31%) and irrigation water (15%). In contrast, 80.5% of vegetables were found to be phenotypically positive for ESBL/AmpC producing Enterobacteriaceae from vegetables and salads in South Africa (Beshiru et al. 2023), and 11.6% from irrigation water in China (Ye et al. 2017). Overall rate of carbapenem resistance (5.8%) and carbapenemase production among Enterobacteriaceae (3.5%) was recorded in the current study. This finding is lower than the 16.3% carbapenem resistance from a previous report in isolates obtained from irrigation water in China (Guo et al. 2023) and (30%) reported from fresh produces and farms in Egypt (Elshafiee et al. 2022).
Carbapenemase producing Enterobacteriaceae and Acinetobacter spp. were more common among isolates from irrigation water compared to those obtained from vegetable samples, whereas none were detected among those isolated from soil samples. This finding suggests that contaminated irrigation water may be a possible source of environmental contamination with carbapenem‐resistant organisms, and vegetables may also become contaminated through human contact (Soler et al. 2025).
Isolates obtained from irrigation water had the highest rate of ARGs 37.5% (9 of 24) (sul1, β‐lactamase genes and carbapenemase genes) compared to those from vegetables 6.54% (22 of 336) and those obtained from soil 2% (1 of 48). A plausible justification for this observation could be irrigation water as a reservoir of resistance genes that can spread to farm environment and vegetables. Irrigation water was reported as the highest reservoir of potential human pathogens and ARGs in previous studies (Al‐Kharousi et al. 2019; Richter et al. 2020). Surprisingly, overall, a limited number of Enterobacteriaceae were positive for tested ARGs in our study. β‐lactamase genes (blaCTX‐M, blaTEM and blaSHV) 17.5% (7 of 40) were detected; however, ESBL variants of blaTEM/blaSHV were not confirmed by sequencing from our isolates. Mainly, 23% (6/26) of vegetables, and 16.6% (1/6) of irrigation water, which is lower than 64.42%, similar studies in South Africa (Richter et al. 2020) and 37% reported in Central Chile (Diaz‐Gavidia et al. 2021). Mostly, ESBL prevalence varies among countries. Such variability in the detection of ARGs may be due to the presence of multiple resistance mechanisms encoding resistance to various antimicrobials, and the fact that our study was not exhaustive enough to cover all target genetic markers. In addition, the epidemiology of resistance genes may vary due to differences in antimicrobial use between clinical and livestock settings.
The potential pathogenic blaCTX‐M, blaTEM, and blaSHV producing isolates were detected from our sample, corresponding to previous findings (Chelaghma et al. 2022; Giri et al. 2021; Ye et al. 2017). An E. coli isolated from vegetables harbored two ESBL resistance genes: blaTEM and blaCTX‐M. Along with our study, E. coli detected from the farm environment has also been reported to carry blaCTX‐M and other ESBL genes (Hartmann et al. 2012), while blaCTX‐M was also detected from K. pneumoniae in irrigation water, which is similar to previous findings by Richter et al. (2019). Moreover, two K. variicola and a single K. aerogenes are isolated from vegetable samples carrying blaCTX‐M genes. These genes are widely distributed globally and frequently reported in various studies in clinical and agricultural settings (Colosi et al. 2020; Diaz‐Gavidia et al. 2021; Elraghya et al. 2016). In Ethiopia, ESBLs are the most frequently utilized antimicrobial groups (Gutema 2023), and β‐lactamase genes (CTX‐M, TEM, SHV) are highly reported genes from clinical, environmental, and agricultural isolates (Hailu et al. 2024; Worku et al. 2025).
To the best of our knowledge, this is the first report on the Enterobacteriaceae family and Acinetobacter spp. isolates harboring AmpC and carbapenemase resistance genes in Ethiopia, particularly from samples collected from the agricultural environment. AmpC resistance gene was detected in 12.5% (5 of 40) E. coli and K. pneumoniae isolates from vegetables, soil, and irrigation water. These two species were extensively investigated globally and commonly isolated from the environment and clinical settings. Similar studies reported detection of AmpC producing E. coli and K. pneumoniae from sources of various vegetables (Richter et al. 2020), and soil samples (Viviers et al. 2025; Ye et al. 2017). Most of the β‐lactamase genes like AmpC in selected gram‐negative species are located on plasmids mediated with the capability of transferring resistance genes to other bacteria by horizontal gene transfer. The detection of these plasmid‐mediated genes in vegetables poses a serious public health concern.
Detection of carbapenem resistance genes dominated by NDM in E. coli and K. pneumoniae isolated from irrigation water and vegetables provides new insights into the agricultural settings as a potential reservoir of carbapenem resistance organisms in Ethiopia. Similarly, Enterobacteriaceae exhibiting blaNDM‐5 were reported from vegetables and irrigation water in China (Zhao et al. 2021), and in Egypt, K. pneumoniae carrying blaNDM was reported from river irrigation water (Elsherbeny et al. 2024). The potential reason for a few isolates phenotypically resistant to carbapenems but missing known carbapenem resistance genetic markers could be due to other resistance mechanisms. A previous study showed ertapenem resistance in E. coli and K. pneumoniae isolates without carbapenemase genes was due to a combination of ESBLs and AmpC overproduction and loss of porin (Johnning et al. 2018). To come up with a clear picture of the genetic markers associated with carbapenem resistance, conducting whole genome sequencing (WGS) is recommended.
Resistance gene encoding sulfonamide antimicrobials (sul1) was detected in 22.5% (14/62) of isolates in the current study. Similarly, sul1 gene was reported in other studies among isolates obtained from irrigation water (Amato et al. 2021; Iwu et al. 2020; Shamsizadeh et al. 2021). The possible reason for high rate of resistance to sulfonamide and wide occurrence of sul1 gene is that the sulfonamide group of antimicrobials has been widely used to treat bacterial infections in animals in Ethiopia (Messele et al. 2017). In this study, sul2, tet(A), tet(B), qnrA, qnrB and qnrS resistance genes were not detected. Similar study in Ethiopia also reported the same result (Hailu et al. 2024), but opposite to a study conducted in south Africa (Iwu et al. 2020) where they have detected these resistance genes. The possible reason for the absence of some genes we tested in our isolates could be due to other genes like tet(C), tet(O), tet(M), sul3, qnrD and aac(6′)‐Ib‐cr contributing to the observed phenotypic resistance where we did not test for these genes.
In current study, plasmid mediated resistance determinants were successfully transferred via broth mating assays for 4 out of 15 (26.6%) tested isolates. These results are consistent with earlier research showing that the horizontal transfer of MDR through plasmids among Enterobacteriaceae (Ozgumus et al. 2008; Hartmann et al. 2012; Saliu et al. 2020). However, majority of isolates were not able to transfer their resistance genes to the recipient strains probably due to the fact that plasmids carried by these isolates may not have F‐pilus which enable the efficient horizontal transfer (Zatyka and Thomas 1998).
According to ERIC‐PCR, E. coli isolates from vegetable and irrigation water showed a high degree of genetic relatedness at 78% similarity values on the same farms, and 72% similarity on market of respective chains, which is similar to results observed in previous studies (Jongman and Korsten 2016; Richter et al. 2021). This indicates irrigation water may serve as a source of contamination and suggests a possible route of transmission pathway of opportunistic pathogenic bacteria. K. pneumoniae isolates from irrigation water and vegetables on different farms showed 72% clonal similarity suggesting that the presence of common contamination sources and certain bacterial species are widely disseminated under diverse conditions. While in the present study, 76% similarity was observed in K. pneumoniae isolates from market. This indicates the presence of cross contamination during transportation, packaging, storage, and distribution chain. K. aerogenes isolated from vegetables on the same farms exhibited more related DNA fingerprinting patterns at 70% similarity. The results from the current findings are comparable to the clonal relatedness reported in for NDM‐5‐ producing K. aerogenes isolates (80%) in previous studies (Pan et al. 2021). Overall, clonal relatedness observed among isolates from vegetables, soil and irrigation water suggests potential common source of contamination across vegetable farming practices. ERIC‐PCR DNA fingerprinting patterns showed no specific association with antimicrobial resistance profile among isolates, which is in line with the findings of Richter et al. (2021).
As a limitation, this study only focused on screening limited resistance genetic markers not the entire resistome. Besides, ERIC‐PCR methods have limited discriminatory power. Therefore, future investigations should adopt high resolution techniques like WGS to generate accurate information regarding relatedness of closely alike isolates throughout the vegetable supply chain and public health interventions.
5. Conclusion
Irrigation water and soil are the pivotal reservoirs for gram‐negative pathogens. They can serve as a vehicle for dissemination of those bacteria to vegetables. The current findings provided significant baseline data about the occurrence of antimicrobial resistance and resistance genes among the Enterobacteriaceae family and Acinetobacter spp. in the agricultural environment and vegetables at the farm and market. The findings underscore the contribution of river irrigation water as a potential source and pathway for transmission of opportunistic human pathogenic bacteria to vegetables and humans through food chains. Therefore, appropriate treatment of river water before irrigation is recommended to reduce the spread of antimicrobial resistance to opportunistic pathogenic microorganisms.
Author Contributions
Hemen Tesfaye: conceptualization, investigation, writing – original draft, methodology, validation, visualization, writing – review and editing, software, formal analysis, data curation, resources. Adey Feleke Desta: conceptualization, investigation, writing – original draft, methodology, writing – review and editing, resources, supervision. Ahu Reis: investigation. Mine Egin: investigation. Osman Birol Ozgumus: investigation, writing – review and editing, supervision. Neslihan Akarsu: investigation. Mujib Abdulkadir: supervision, investigation. Haile Alemayehu: investigation, resources, supervision. Tadesse Eguale: investigation, methodology, formal analysis, data curation, supervision, resources, writing – review and editing, writing – original draft. Ali Osman Kilic: conceptualization, investigation, writing – original draft, methodology, writing – review and editing, resources, supervision.
Funding
The authors declare that no external funding was received for this research and publication of this article. Addis Ababa University provided partial institutional support.
Conflicts of Interest
The authors declare no conflicts of interest.
Supporting information
Table S1: The primer sequences used for the detection of antimicrobial resistance genes in Enterobacteriaceae family and Acinetobacter spp. isolates.
Table S2: E. coli ID corresponding to numbers in dendrogram Figure 4.
Table S3: K. pneumoniae ID corresponding to numbers in dendrogram Figure S1.
Table S4: K. variicola, K. oxytoca, and E. asburiae ID corresponding to numbers in dendrogram Figure S2.
Table S5: A. baumannii, A. pittii, K. aerogenes , and E. bugandensis ID corresponding to numbers in dendrogram Figure S3.
Table S6: E. cloacae, E. kobei, and C. braakii ID corresponding to numbers in dendrogram Figure S4.
Figure S1: Dendrogram showing fingerprinting profiles of K. pneumoniae phenotypically ESBL/AmpC and carbapenems producer strains isolated from Farms and supermarkets (vegetable, soil, and irrigation water samples). The profiles were obtained with ERIC‐PCR.
Figure S2: The dendrogram fingerprinting profiles of E. asburiae , K. variicola, and K. oxytoca phenotypically ESBL/AmpC and carbapenems producer strains isolated from Farms and supermarkets (vegetable, soil, and irrigation water samples). The profiles were obtained with ERIC‐PCR.
Figure S3: Dendrogram fingerprinting profiles of A. baumannii , A. pittii , K. aerogenes , and E. bugandensis phenotypically ESBL/AmpC and carbapenems producer strains isolated from Farms and markets (vegetable, soil, and irrigation water samples). The profiles were obtained with ERIC‐PCR.
Figure S4: Dendrogram fingerprinting profiles of E. cloacae , E. kobei, and C. braakii phenotypically ESBL/AmpC and carbapenems producer strains isolated from Farms and supermarkets (vegetable and soil samples). The profiles were obtained with ERIC‐PCR.
Figure S5: (A) Amplification of the donor and transconjugant ESBL and Carbapenemases encoded genes. M: “1 kb Thermo DNA ladder,” 1: Donor ETKP 42, 2: TXG ETKP 42, 3: Donor ETECO 160, 4: TXG ETECO 160, 5: Donor ETECO 169, 6: TXG ETECO 169, 7: Donor ETECO 169, 8: TXG ETECO 169, 9: Donor ETECO 200 10: TXG ETECO 200 11: Donor 42 12: TXG 42. (B) Plasmid DNA profiles of donor and transconjugant strains of E. coli J53‐2, alongside E. coli V517 as a reference plasmid strain. Note: M = Plasmid marker ( E. coli V517), 1: TXG K. pneumoniae (ETKP 42), 2: donor K. pneumoniae (ETKP 42), 3, TXG C. braakii (ETCB 160), 4: donor C. braakii (ETCB 160), 5: TXG E. coli (ETECO 169), 6: donor E. coli (ETECO 169), 7: TXG E. coli (ETECO 200), 8: donor E. coli (ETECO 200).
Acknowledgments
The authors would like to thank all farmers in the study area for allowing us to visit and collect samples from their farms. We would also like to acknowledge the Departments of Medical Microbiology and Medical Biology, Karadeniz Technical University for providing laboratory support, and for provision of personal financial support from the TWAS‐TUBITAK 2216B fellowship program to the first author under the supervision of Dr. Ali O Kilic. In addition, the authors would like to acknowledge that financial support received by H.T. through L'Oréal‐UNESCO For Women in Science Sub‐Saharan Africa programme. The authors acknowledge Drs. Kurtulus Buruk, Esra Ozkaya, and Mr. Fikret Yanar for their assistance with microbiology analysis.
Contributor Information
Hemen Tesfaye, Email: hemen.tesfaye@aau.edu.et, Email: hementesfaye123@gmail.com.
Adey Feleke Desta, Email: adey.feleke@aau.edu.et.
Ahu Reis, Email: ahu_kamburoglu@hotmail.com.
Mine Egin, Email: mine36207@gmail.com.
Ali Osman Kilic, Email: ali.kilic@ibg.edu.tr.
Data Availability Statement
The authors confirm that all the data are included in the manuscript.
References
- Al‐Kharousi, Z. S. , Guizani N., Al‐Sadi A. M., and Al‐Bulushi I. M.. 2019. “Antibiotic Resistance of Enterobacteriaceae Isolated From Fresh Fruits and Vegetables and Characterization of Their AmpC Beta‐Lactamases.” Journal of Food Protection 82, no. 11: 1857–1863. 10.4315/0362-028X.JFP-19-089. [DOI] [PubMed] [Google Scholar]
- Amato, M. , Dasí D., González A., Ferrús M. A., and Castillo M. Á.. 2021. “Occurrence of Antibiotic Resistant Bacteria and Resistance Genes in Agricultural Irrigation Waters From Valencia City (Spain).” Agricultural Water Management 256: 107097. 10.1016/j.agwat.2021.107097. [DOI] [Google Scholar]
- Asfaw, T. , Genetu D., Shenkute D., Shenkutie T. T., and Yitayew B.. 2023. “Commonly Consumed Vegetables as a Potential Source of Multidrug‐Resistant and Beta‐Lactamase‐Producing Bacteria in Debre Berhan Town, Ethiopia.” Infection and Drug Resistance 16: 3693–3705. 10.2147/IDR.S412126. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Balkhed, A. Ö. 2014. Extended‐Spectrum ß‐Lactamase Producing Enterobacteriaceae. Medical dissertation. Linkoping University. [Google Scholar]
- Beshiru, A. , Igbinosa I. H., Enabulele T. I., et al. 2023. “Biofilm and Antimicrobial Resistance Profile of Extended‐Spectrum β‐Lactamase (ESBL) and AmpC β‐Lactamase Producing Enterobacteriaceae in Vegetables and Salads.” LWT 182: 114913. 10.1016/j.lwt.2023.114913. [DOI] [Google Scholar]
- Bush, K. , and Jacoby G. A.. 2010. “Updated Functional Classification of Beta‐Lactamases.” Antimicrobial Agents and Chemotherapy 54, no. 3: 969–976. 10.1128/AAC.01009-09. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Carvalheira, A. , Silva J., and Teixeira P.. 2017. “Lettuce and Fruits as a Source of Multidrug Resistant Acinetobacter spp.” Food Microbiology 64: 119–125. 10.1016/j.fm.2016.12.005. [DOI] [PubMed] [Google Scholar]
- Chelaghma, W. , Loucif L., Bendjama E., Cherak Z., Bendahou M., and Rolain J. M.. 2022. “Occurrence of Extended Spectrum Cephalosporin‐, Carbapenem‐ and Colistin‐Resistant Gram‐Negative Bacteria in Fresh Vegetables, an Increasing Human Health Concern in Algeria.” Antibiotics 11, no. 8: 988. 10.3390/antibiotics11080988. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Chen, W. , and Tsong K.. 1993. “A simple and rapid method for the preparation of Gram‐negative genomic DNA.” Nucleic Acids Research 21, no. 9: 2260. [DOI] [PMC free article] [PubMed] [Google Scholar]
- CLSI . 2024. Performance Standards for Antimicrobial Susceptibility Testing 37. CLSI. [Google Scholar]
- Colosi, I. A. , Baciu A. M., Opris R. V., et al. 2020. “Prevalence of ESBL, AmpC and Carbapenemase‐Producing Enterobacterales Isolated From Raw Vegetables Retailed in Romania.” Food 9, no. 12: 1726. 10.3390/foods9121726. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Coque, T. M. , Baquero F., and Canton R.. 2008. “Increasing Prevalence of ESBL Producing Enterobacteriaceae in Europe.” Eurosurveillance 13, no. 47: 19044. [PubMed] [Google Scholar]
- Diaz‐Gavidia, C. , Barria C., Rivas L., et al. 2021. “Isolation of Ciprofloxacin and Ceftazidime‐Resistant Enterobacterales From Vegetables and River Water Is Strongly Associated With the Season and the Sample Type.” Frontiers in Microbiology 12: 604567. 10.3389/fmicb.2021.604567. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Drieux, L. , Brossier F., Sougakoff W., and Jarlier V.. 2008. “Phenotypic detection of extended‐spectrum beta‐lactamase production in Enterobacteriaceae: review and bench guide.” Clinical Microbiology and Infection 14, no. S1: 90–103. [DOI] [PubMed] [Google Scholar]
- Elraghya, N. A. , Zahrana W. A., Makleda A. F., et al. 2016. “Multidrug‐Resistant Enterobacteriaceae Nosocomial Uropathogens at Menoufia University Hospitals: Phenotypic Characterization and Detection of Resistance Genes Using Real‐Time PCR.” Menoufia Medical Journal 29: 855–861. 10.4103/1110-2098.202515. [DOI] [Google Scholar]
- Elshafiee, E. A. , Kadry M., Nader S. M., and Ahmed Z. S.. 2022. “Extended‐Spectrum‐Beta‐Lactamases and Carbapenemase‐Producing Klebsiella pneumoniae Isolated From Fresh Produce Farms in Different Governorates of Egypt.” Veterinary World 15, no. 5: 1191–1196. 10.14202/vetworld.2022.1191-1196. [DOI] [PMC free article] [PubMed] [Google Scholar]
- El‐Shazly, D. A. , Nasef S. A., Mahmoud F. F., and Jonas D.. 2017. “Expanded Spectrum Beta‐Lactamase Producing Escherichia coli Isolated From Chickens With Colibacillosis in Egypt.” Poultry Science 96, no. 7: 2375–2384. 10.3382/ps/pew493. [DOI] [PubMed] [Google Scholar]
- Elsherbeny, S. M. , Rizk D. E., Al‐Ashmawy M., and Barwa R.. 2024. “Prevalence and Antimicrobial Susceptibility of Enterobacteriaceae Isolated From Ready‐To‐Eat Foods Retailed in Damietta, Egypt.” Egyptian Journal of Basic and Applied Sciences 11, no. 1: 116–134. 10.1080/2314808x.2024.2307847. [DOI] [Google Scholar]
- FAO , and WHO . 2023. Prevention and Control of Microbiological Hazards in Fresh Fruits and Vegetables—Part 1 and Part 2: General Principles. World Health Organisation. [Google Scholar]
- Giri, S. , Kudva V., Shetty K., and Shetty V.. 2021. “Prevalence and Characterization of Extended‐Spectrum Beta‐Lactamase‐Producing Antibiotic‐Resistant Escherichia coli and Klebsiella pneumoniae in Ready‐To‐Eat Street Foods.” Antibiotics (Basel) 10, no. 7: 850. 10.3390/antibiotics10070850. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Guo, C.‐H. , Liu Y.‐Q., Li Y., et al. 2023. “High Prevalence and Genomic Characteristics of Carbapenem‐Resistant Enterobacteriaceae and Colistin‐Resistant Enterobacteriaceae From Large‐Scale Rivers in China.” Environmental Pollution 331: 121869. 10.1016/j.envpol.2023.121869. [DOI] [PubMed] [Google Scholar]
- Gutema, G. 2023. “Ethiopia's Antibiotic Footprint: Employing the Newly Emerging Digital Concept to Estimate Annual Consumption for the Country.” Cureus 15, no. 3: e36013. 10.7759/cureus.36013. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hailu, W. , Alemayehu H., Hailu L., et al. 2024. “ Escherichia coli Isolates From Vegetable Farms in Addis Ababa, Ethiopia: Antimicrobial Susceptibility Profile and Associated Resistance Genetic Markers.” Food Science & Nutrition 12, no. 6: 4122–4132. 10.1002/fsn3.4071. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hartmann, A. , Locatelli A., Amoureux L., et al. 2012. “Occurrence of CTX‐M Producing Escherichia coli in Soils, Cattle, and Farm Environment in France (Burgundy Region).” Frontiers in Microbiology 3: 83. 10.3389/fmicb.2012.00083. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Iwu, C. D. , du Plessis E. M., Korsten L., Nontongana N., and Okoh A. I.. 2020. “Antibiogram Signatures of Some Enterobacteria Recovered From Irrigation Water and Agricultural Soil in Two District Municipalities of South Africa.” Microorganisms 8, no. 8: 1206. 10.3390/microorganisms8081206. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Johnning, A. , Karami N., Tang Hallback E., et al. 2018. “The Resistomes of Six Carbapenem‐Resistant Pathogens—A Critical Genotype‐Phenotype Analysis.” Microbial Genomics 4, no. 11: e000233. 10.1099/mgen.0.000233. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Jongman, M. , and Korsten L.. 2016. “Genetic Diversity and Antibiotic Resistance of Escherichia coli Isolates From Different Leafy Green Production Systems.” Journal of Food Protection 79, no. 11: 1846–1853. 10.4315/0362-028X.JFP-16-117. [DOI] [PubMed] [Google Scholar]
- Junaid, K. , Ejaz H., Younas S., Alanazi A., Yasmeen H., and Rehman A.. 2022. “Detection of Klebsiella pneumoniae Antibiotic‐Resistant Genes: An Impending Source of Multidrug Resistance Dissemination Through Raw Food.” Saudi Journal of Biological Sciences 29, no. 5: 3347–3353. 10.1016/j.sjbs.2022.02.020. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kaur, J. , Chopra S., Sheevani , and Mahajan G.. 2013. “Modified Double Disc Synergy Test to Detect ESBL Production in Urinary Isolates of Escherichia coli and Klebsiella pneumoniae .” Journal of Clinical and Diagnostic Research 7: 229–233. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kiros, T. , Workineh L., Tiruneh T., Eyayu T., Damtie S., and Belete D.. 2021. “Prevalence of Extended‐Spectrum Beta‐Lactamase‐Producing Enterobacteriaceae in Ethiopia: A Systematic Review and Meta‐Analysis.” International Journal of Microbiology 2021: 6669778. 10.1155/2021/6669778. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Manniatis, T. , Fristch E. F., and Sambrook J.. 1982. Molecular Cloning: A Laboratory Manual. Cold Spring Harbor Laboratory Press. [Google Scholar]
- Messele, Y. E. , Abdi R. D., Yalew S. T., Tegegne D. T., Emeru B. A., and Werid G. M.. 2017. “Molecular Determination of Antimicrobial Resistance in Escherichia coli Isolated From Raw Meat in Addis Ababa and Bishoftu, Ethiopia.” Annals of Clinical Microbiology and Antimicrobials 16, no. 1: 55. 10.1186/s12941-017-0233-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ozgumus, O. B. , Tosun I., Aydin F., and Kilic A. O.. 2008. “Horizontal Dissemination of TEM and SHV Type Beta‐Lactamase Genes Carrying Resistance Plasmids Amongst Clinical Isolates of Enterobacteriaceae.” Brazilian Journal of Microbiology 39: 636–643. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Pan, F. , Xu Q., and Zhang H.. 2021. “Emergence of NDM‐5 Producing Carbapenem‐Resistant Klebsiella aerogenes in a Pediatric Hospital in Shanghai, China.” Frontiers in Public Health 9: 621527. 10.3389/fpubh.2021.621527. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Pintor‐Cora, A. , Alegría Á., Ramos‐Vivas J., García‐López M.‐L., Santos J. A., and Rodríguez‐Calleja J. M.. 2023. “Antimicrobial‐Resistant Enterobacter cloacae Complex Strains Isolated From Fresh Vegetables Intended for Raw Consumption and Their Farm Environments in the Northwest of Spain.” LWT 188: 115382. 10.1016/j.lwt.2023.115382. [DOI] [Google Scholar]
- Richter, L. , Du Plessis E. M., Duvenage S., and Korsten L.. 2019. “Occurrence, Identification, and Antimicrobial Resistance Profiles of Extended‐Spectrum and AmpC Beta‐Lactamase‐Producing Enterobacteriaceae From Fresh Vegetables Retailed in Gauteng Province, South Africa.” Foodborne Pathogens and Disease 16, no. 6: 421–427. 10.1089/fpd.2018.2558. [DOI] [PubMed] [Google Scholar]
- Richter, L. , du Plessis E. M., Duvenage S., and Korsten L.. 2020. “Occurrence, Phenotypic and Molecular Characterization of Extended‐Spectrum‐ and AmpC‐ Beta‐Lactamase Producing Enterobacteriaceae Isolated From Selected Commercial Spinach Supply Chains in South Africa.” Frontiers in Microbiology 11: 638. 10.3389/fmicb.2020.00638. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Richter, L. , Plessis E. D., Duvenage S., and Korsten L.. 2021. “High Prevalence of Multidrug Resistant Escherichia coli Isolated From Fresh Vegetables Sold by Selected Formal and Informal Traders in the Most Densely Populated Province of South Africa.” Journal of Food Science 86, no. 1: 161–168. 10.1111/1750-3841.15534. [DOI] [PubMed] [Google Scholar]
- Saliu, E. M. , Zentek J., and Vahjen W.. 2020. “In Vitro Conjugation Kinetics of AmpC, Broad Spectrum and Extended‐Spectrum Beta‐Lactamase‐Producing Escherichia coli Donors and Various Enterobacteriaceae Recipients.” BMC Microbiology 20, no. 1: 133. 10.1186/s12866-020-01787-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Schaumann, R. , Knoop N., Genzel G. H., et al. 2013. “Discrimination of Enterobacteriaceae and Non‐fermenting Gram Negative Bacilli by MALDI‐TOF Mass Spectrometry.” Open Microbiology Journal 28, no. 7: 118–122. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Sekhar, M. S. , Sharif N. M., Rao T. S., and Metta M.. 2017. “Genotyping of Virulent Escherichia coli Obtained From Poultry and Poultry Farm Workers Using Enterobacterial Repetitive Intergenic Consensus‐Polymerase Chain Reaction.” Veterinary World 10, no. 11: 1292–1296. 10.14202/vetworld.2017.1292-1296. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Shamsizadeh, Z. , Ehrampoush M. H., Nikaeen M., et al. 2021. “Tracking Antibiotic Resistance Genes and Class 1 Integrons in Escherichia coli Isolates From Wastewater and Agricultural Fields.” Water Science and Technology 84, no. 5: 1182–1189. 10.2166/wst.2021.288. [DOI] [PubMed] [Google Scholar]
- Soler, L. , Moreno‐Mesonero L., Jimenez‐Belenguer A., et al. 2025. “Characterization of Microbial Communities and Antibiotic Resistance in the Water–Soil–Vegetable Interface of a Small‐Scale Organic Field.” Scientia Horticulturae 345: 114147. 10.1016/j.scienta.2025.114147. [DOI] [Google Scholar]
- Son, S. M. , Ahn E., Ahn S., Cho S., and Ryu S.. 2024. “Prevalence of Antibiotic‐Resistant Acinetobacter spp. on Soil and Crops Collected From Agricultural Fields in South Korea.” Food Science and Biotechnology 33, no. 8: 1931–1937. 10.1007/s10068-023-01496-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Usui, M. , Ozeki K., Komatsu T., Fukuda A., and Tamura Y.. 2019. “Prevalence of Extended‐Spectrum Beta‐Lactamase‐Producing Bacteria on Fresh Vegetables in Japan.” Journal of Food Protection 82, no. 10: 1663–1666. 10.4315/0362-028X.JFP-19-138. [DOI] [PubMed] [Google Scholar]
- Viviers, S. , Richter‐Mouton L., Featherston J., and Korsten L.. 2025. “Occurrence and Genotypic Characterization of Selected Multidrug‐Resistant ESKAPE‐E Pathogens Isolated From Integrated Smallholder Fresh Produce Farms.” Journal of Food Protection 88, no. 7: 100543. 10.1016/j.jfp.2025.100543. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Worku, S. , Abebe T., Abdissa A., et al. 2025. “Molecular Epidemiology of Extended‐Spectrum Beta‐Lactamase Producing Gram‐Negative Bacteria Among Surgical Site Infection Patients in Ethiopia: A Multicenter Prospective Study.” BMC Infectious Diseases 25, no. 1: 1091. 10.1186/s12879-025-11531-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ye, Q. , Wu Q., Zhang S., et al. 2017. “Antibiotic‐Resistant Extended Spectrum Ss‐Lactamase‐ and Plasmid‐Mediated AmpC‐Producing Enterobacteriaceae Isolated From Retail Food Products and the Pearl River in Guangzhou, China.” Frontiers in Microbiology 8: 96. 10.3389/fmicb.2017.00096. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Zatyka, M. , and Thomas C. M.. 1998. “Control of Genes for Conjugative Transfer of Plasmids and Other Mobile Elements.” FEMS Microbiology Reviews 21: 291–319. [DOI] [PubMed] [Google Scholar]
- Zekar, M. , Granier S. A., Marault M., et al. 2017. “From Farms to Markets: Gram‐Negative Bacteria Resistant to Third‐Generation Cephalosporins in Fruits and Vegetables in a Region of North Africa.” Frontiers in Microbiology 8: 1569. 10.3389/fmicb.2017.01569. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Zhao, Q. , Berglund B., Zou H., et al. 2021. “Dissemination of Bla(NDM‐5) via IncX3 Plasmids in Carbapenem‐Resistant Enterobacteriaceae Among Humans and in the Environment in an Intensive Vegetable Cultivation Area in Eastern China.” Environmental Pollution 273: 116370. 10.1016/j.envpol.2020.116370. [DOI] [PubMed] [Google Scholar]
Associated Data
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Supplementary Materials
Table S1: The primer sequences used for the detection of antimicrobial resistance genes in Enterobacteriaceae family and Acinetobacter spp. isolates.
Table S2: E. coli ID corresponding to numbers in dendrogram Figure 4.
Table S3: K. pneumoniae ID corresponding to numbers in dendrogram Figure S1.
Table S4: K. variicola, K. oxytoca, and E. asburiae ID corresponding to numbers in dendrogram Figure S2.
Table S5: A. baumannii, A. pittii, K. aerogenes , and E. bugandensis ID corresponding to numbers in dendrogram Figure S3.
Table S6: E. cloacae, E. kobei, and C. braakii ID corresponding to numbers in dendrogram Figure S4.
Figure S1: Dendrogram showing fingerprinting profiles of K. pneumoniae phenotypically ESBL/AmpC and carbapenems producer strains isolated from Farms and supermarkets (vegetable, soil, and irrigation water samples). The profiles were obtained with ERIC‐PCR.
Figure S2: The dendrogram fingerprinting profiles of E. asburiae , K. variicola, and K. oxytoca phenotypically ESBL/AmpC and carbapenems producer strains isolated from Farms and supermarkets (vegetable, soil, and irrigation water samples). The profiles were obtained with ERIC‐PCR.
Figure S3: Dendrogram fingerprinting profiles of A. baumannii , A. pittii , K. aerogenes , and E. bugandensis phenotypically ESBL/AmpC and carbapenems producer strains isolated from Farms and markets (vegetable, soil, and irrigation water samples). The profiles were obtained with ERIC‐PCR.
Figure S4: Dendrogram fingerprinting profiles of E. cloacae , E. kobei, and C. braakii phenotypically ESBL/AmpC and carbapenems producer strains isolated from Farms and supermarkets (vegetable and soil samples). The profiles were obtained with ERIC‐PCR.
Figure S5: (A) Amplification of the donor and transconjugant ESBL and Carbapenemases encoded genes. M: “1 kb Thermo DNA ladder,” 1: Donor ETKP 42, 2: TXG ETKP 42, 3: Donor ETECO 160, 4: TXG ETECO 160, 5: Donor ETECO 169, 6: TXG ETECO 169, 7: Donor ETECO 169, 8: TXG ETECO 169, 9: Donor ETECO 200 10: TXG ETECO 200 11: Donor 42 12: TXG 42. (B) Plasmid DNA profiles of donor and transconjugant strains of E. coli J53‐2, alongside E. coli V517 as a reference plasmid strain. Note: M = Plasmid marker ( E. coli V517), 1: TXG K. pneumoniae (ETKP 42), 2: donor K. pneumoniae (ETKP 42), 3, TXG C. braakii (ETCB 160), 4: donor C. braakii (ETCB 160), 5: TXG E. coli (ETECO 169), 6: donor E. coli (ETECO 169), 7: TXG E. coli (ETECO 200), 8: donor E. coli (ETECO 200).
Data Availability Statement
The authors confirm that all the data are included in the manuscript.
