Abstract
In the past decade, there has been a notable rise in foodborne outbreaks, prominently featuring Escherichia coli as a primary pathogen. This bacterium, known for its prevalence in foodborne illnesses and as a reservoir of antimicrobial resistance, was isolated from raw vegetables, soil, and water samples collected from rooftop and surface gardens in urban (Dhaka North City Corporation; DNCC and Dhaka South City Corporation; DSCC) and peri-urban (Gazipur City Corporation; GCC) areas of Bangladesh. In this study, 145 samples including vegetables (n = 88), water (n = 27) and soils (n = 30) from DNCC (n = 85), DSCC (n = 30), and GCC (n = 30) were analyzed to assess the prevalence of E. coli using culture, biochemical tests, and PCR targeting the malB gene. E. coli was detected in 85 samples, indicating an overall prevalence of 58.62% (95% CI: 50.48–66.31). In urban areas (DNCC and DSCC), the prevalence rates were 44.70% and 80.0%, respectively, with surface gardens showing higher contamination rates (70.83%) than rooftop gardens (46.57%). In the peri-urban GCC, overall prevalence of E. coli was 76.7%, with rooftop gardens more contaminated (93.33%) than surface gardens (60.0%). Antibiogram profiling of 54 randomly selected isolates revealed 100% resistance to ampicillin, with varying resistance to ciprofloxacin (25.92%), tetracycline (14.81%), cotrimoxazole (14.81%), imipenem (9.25%), and fosfomycin (1.0%). Notably, all isolates were susceptible to ceftazidime, gentamicin, chloramphenicol, nitrofurantoin, and cefotaxime. Multidrug resistance (MDR) was found in 14.81% of isolates. The blaTEM gene was present in 81.48% of the isolates, while the tetA gene was detected in 3.70%. These findings underscore the urgent global health concern posed by the significant presence of E. coli in fresh vegetables, highlighting the need for improved safety measures and monitoring to prevent the spread of antimicrobial resistance through the food chain.
Introduction
Vegetables are regarded as vital components of balanced diets due to the phytochemicals, vitamins, minerals, and dietary fiber they provide. Vegetables in the daily diet have been associated in a significant way with improved gastrointestinal health, enhanced vision, a decreased risk of cardiovascular disease, stroke, chronic diseases including diabetes, and certain types of cancer [1,2]. It is believed that certain phytochemicals found in vegetables reduce the risk of chronic disease by preventing free radical damage, influencing metabolic activation and detoxification of carcinogens or even regulating processes that alter the progress of tumor cells [3]. The various vegetables could provide defense against chronic diseases to human beings [4]. Recent research indicates a negative association between vegetable consumption and mortality rates, particularly in cardiovascular disease and cancer [5,6]. However, findings have varied. Some studies suggest a lower mortality risk with increased vegetable intake, yet a British study found no significant mortality differences between vegetarians and non-vegetarians [7,8]. Unbalanced diets, marked by insufficient intake of complex carbohydrates, dietary fiber, and vegetables, account for approximately 2.7 million deaths each year [9] and are among the top 10 risk factors for mortality [4].
While fresh vegetables provide many health benefits, they can also pose potential risks [10]. In recent years, fresh fruits and vegetables have been associated with various outbreaks of transmissible diseases around the world. Efforts are underway to tackle these food safety challenges [11]. Occasionally, raw salad vegetables are consumed without washing, peeling, or applying any heat treatment. This exposes consumers to potential risks of foodborne illnesses [12]. Vegetable contamination can occur at any stage, both before and after harvesting. Using untreated effluent and manure as fertilizers in vegetable cultivation contributes to this contamination [13,14]. Furthermore, a variety of potential contamination sources exist, including debris, animal and human waste products, and the use of contaminated transportation and handling processes. Harvesting and processing equipment can also introduce contaminants. Each of these stages, from the field to the consumer, poses risks for introducing harmful substances into the food supply [15,16]. Earlier studies reported that consumption of a variety of contaminated vegetables and fruits has been linked to outbreaks of viruses, bacteria, and parasites [16,17]. Fecal microorganisms have the potential to endure prolonged periods in soils and manure and water and therefore, they serve as an accessible source of contamination [18,19]. Antimicrobial resistance has become a noteworthy economic and public health worry [20]. Recently, antibiotic resistance in E. coli and Salmonella spp. has been reported globally [21,22]. E. coli keeps getting progressively more difficult to treat as resistance to most first-line antimicrobials has evolved [22]. Furthermore, resistant E. coli tends to transfer genes encoding resistance to antibiotics to other strains of E. coli and bacteria residing in the gastrointestinal tract, thereby developing resistance from external organisms [23,24]. Resistance to ampicillin, a semi-synthetic-lactam antibiotic commonly used to treat E. coli infections in humans and livestock, has recently increased [25]. The prevalence of multidrug resistance E. coli in humans and animals is rising worldwide [20,21,26]. The increasing resistance of E. coli to beta-lactam antibiotics is leading to severe troubles among the general population [27]. E. coli may also develop resistance to various classes of commonly prescribed antibiotics, including trimethoprim-sulfamethoxazole, aminoglycosides, and fluoroquinolones [28]. Such resistance would result in higher mortality and morbidity rates, prolonged hospital stays, elevated treatment expenditures, and disintegration of healthcare facilities. Two plasmid-mediated beta-lactam enzymes, extended-spectrum beta-lactamases (ESBLs) and AmpC beta-lactamases (AmpC), trigger resistance to beta-lactam antibiotics, resulting in a grave effect on the global health sector [28]. Plasmid-mediated AmpC (CMY-2) is a major threat to public health that appears frequently in Enterobacteriaceae, especially E. coli, in humans and animals [29].
The malB gene is involved in the maltose and maltodextrin transport system in bacteria, particularly in E. coli [30]. The malB operon encodes components essential for the transport and metabolism of maltose and maltodextrins, which are polysaccharides derived from starch. This operon is part of the ATP-binding cassette (ABC) transporter family and includes genes like malE, malF, and malG, which encode for the maltose-binding protein (MalE) and the membrane components (MalF and MalG) that form the maltose transporter complex [30,31].
The presence of multidrug resistance E. coli in vegetables is a serious global concern [19]. Despite extensive research on E. coli in commercially sourced vegetables [32,33], there is a significant knowledge gap regarding its presence in vegetables from home gardens, which are cultivated organically without pesticides or herbicides. Currently, there is a lack of data on E. coli in rooftop and surface gardening practices in Bangladesh. This study aims to isolate and identify E. coli from various vegetables, soil, and water samples from rooftops and surface gardens. We also assessed the resistance profiles of the E. coli isolates and identified the genes responsible for beta-lactams and tetracycline resistance.
2. Materials and methods
2.1 Sample information
This study was carried out at the Bacteriology Laboratory, Department of Microbiology and Hygiene, Bangladesh Agricultural University, Mymensingh, Bangladesh, from September 2022 to March 2023. Vegetables, water, and soil samples (S1 Table) were collected from urban locations including Dhaka North City Corporation (DNCC, 23°52’55.5"N, 90°24’14.9"E; total population: 5,979,537, total areas: 19,700 hectares) and Dhaka South City Corporation (DSCC, 23°43’27.0"N, 90°28’51.0" E; total population: 4,299,345, total area: 10,920 hectares), as well as the peri-urban area of Gazipur City Corporation (GCC, 25°35’37.1"N, 83°34’53.4"E; total population: 1,129,145, total area: 32,923 hectares) within the Dhaka division of Bangladesh (S1 Fig) [34]. These areas are approximately 15–20 km apart from each other and feature tropical wet and dry climates. A total of 145 samples including 85 from DNCC (rooftop garden = 43, surface garden = 42), 30 from DSCC (rooftop garden = 15, surface garden = 15) and 30 from GCC (rooftop garden = 15, surface garden = 15) were collected. Further classification of the samples included most commonly grown 88 vegetables namely Coriander (Coriandrum sativum), Red amaranth (Amaranthus cruentus), Radish leaves (Raphanus sativus), Green chilies (Capsicum frutescens), Tomato (Solanum lycopersicum), Malabar spinach (Basella alba)), 27 water samples (Deep tubewell, stored water), and soils (n = 30).
2.2 Isolation and identification of E. coli
Isolation and identification of E. coli were performed by culturing on Eosin Methylene Blue (EMB) agar plates (HiMedia, India) followed by Gram staining. A single loopful of overnight culture grown in nutrient broth was streaked onto EMB agar (HiMedia, India) and incubated aerobically overnight at 37°C [35,36]. Phenotypic identification of the isolates (N = 85) was performed based on the colony morphology and Gram-staining (Gram -ve, formation of green metallic sheen on EMB), and biochemical tests such catalase, indole, methyl red, Voges-Proskauer (VP), oxidase, urease and triple sugar iron tests [21]. The isolates were molecularly confirmed as E. coli using species-specific polymerase chain reaction (PCR) amplification of the malB gene (S2 Fig) [21,37]. The malB gene specific primers are presented in Table 1. Genomic DNA from overnight culture by boiled DNA extraction method using commercial DNA extraction kit, QIAamp DNA Mini Kit (QIAGEN, Hilden, Germany). Quality and quantity of the extracted DNA were measured using a NanoDrop ND-2000 spectrophotometer (Thermo Fisher Scientific, Waltham, MA). DNA extracts with A260/280 and A260/230 ratios of ∼ 1.80 and 2.00 to 2.20, respectively, were considered as high-purity DNA samples [38] and stored at -20°C prior to PCR amplification [37,39]. Amplification of targeted DNA was carried out in a 20 μL reaction mixture, which included 3 μL nuclease-free water, 10 μL 2X master mixture (Promega, Madison, WI, USA), 1 μL each of forward and reverse primers, and 5 μL DNA template. PCR-positive controls consisted of E. coli genomic DNA previously confirmed for the target genes [37]. PCR-negative controls utilized non-template controls with PBS instead of genomic DNA. The amplified PCR products were then subjected to electrophoresis on a 1.5% agarose gel and visualized using an ultraviolet transilluminator (Biometra, Gottingen, Germany). A 100 bp DNA ladder (Promega, Madison, WI, USA) was used to validate the expected sizes of the amplified PCR products [37,40]. Finally, 85 isolates were confirmed as E. coli through species-specific PCR.
Table 1. List of primers used in this study.
| Name of Primers | Targeted gene | Primer sequences (5´-3´) |
Amplicon size (bp) | References |
|---|---|---|---|---|
| malB (F) | malB | 5´GACCTCGGTTTAGTTCACAGA3´ | 585 | [30] |
| malB (R) | 5´ CACACGCTGACGCTGACCA3´ | |||
| tetA (F) | tetA | 5´ GGTTCACTCGAACGACGTCA3´ | 577 | [41] |
| tetA (R) | 5´ CTGTCCGACAAGTTGCATGA3´ | |||
| blaTEM (F) | blaTEM | 5´ CATTTCCGTGTCGCCCTTAT3´ | 793 | |
| blaTEM (R) | 5´ TCCATAGTTGCCTGACTCCC3´ |
2.3 Antimicrobial susceptibility assay
The antimicrobial susceptibility profiles of 54 randomly selected E. coli isolates (out of 85 confirmed isolates) were assessed using the disk diffusion test (DDT), in accordance with the guidelines outlined in the Clinical Laboratory Standards Institute (CLSI) 2023 (M100 33rd Edition) [42]. Eleven antibiotics from nine commonly practiced antibiotic classes in Bangladesh were employed. These were ciprofloxacin (CIP, 5 μg), gentamicin (GEN, 10 μg), tetracycline (TET, 30 μg), ceftriaxone (CTR, 30 μg), ampicillin (AMP, 25 μg), ceftazidime (CAZ, 5 μg), chloramphenicol (C, 30 μg), imipenem (IMP, 10 μg), fosfomycin (FOS, 50 μg), nitrofurantoin (NIT, 300 μg), and cotrimoxazole (COT, 25 μg). The isolated colonies were taken into 4–5 mL of nutrient broth for performing DDT. After preparing the broth cultures, isolates were incubated for 4–5 hrs at 37°C, and the turbidity of bacterial suspensions was adjusted with the 0.5 McFarland unit (HiMedia, India). After that, the dried surface of a Muller Hilton (MH) agar plate was inoculated by spreading the broth suspension on the surface with sterile cotton swabs. Finally, the antibiotic disks were applied on the surface of the agar plates, and left for overnight (>16 hrs.) incubation at 37°C. The isolates were categorized as susceptible, intermediate, and resistant according to CLSI guidelines [42]. Multidrug resistance (MDR) patterns, defined as resistance to ≥ 3 antibiotics, were identified using the protocol outlined by Saha et al. and Sultana et al. [43,44]. The Multiple Antibiotic Resistance (MAR) index was calculated by dividing the number of antibiotics to which an isolate was resistant by the total number of antibiotics tested [45]. E. coli strain ATCC25922 was used as the negative control in the antimicrobial susceptibility tests.
2.4 Molecular detection of antibiotic-resistant genes in E. coli
To detect antibiotic-resistant genes in the E. coli isolates (n = 54), simplex PCR assays were conducted for beta-lactamase genes (e.g., blaTEM) (S3A Fig) and tetracycline resistance genes (e.g., tetA) (S3B Fig) using specific primers (Table 1). For both genes, PCR was conducted with a final volume of 20 μL. The PCR conditions for the tetA gene involved an initial denaturation at 95°C for 5 min, followed by 32 cycles of denaturation at 95°C for 1 min, annealing at 57°C for 1 min, and extension at 72°C for 1 min. A final extension step was carried out at 72°C for 10 min. For the blaTEM gene, the thermal profile included an initial denaturation at 95°C for 1 min, followed by 34 cycles of denaturation at 95°C for 1 min, annealing at 56°C for 1 min, and extension at 72°C for 1 min, with a final extension at 72°C for 7 min [40]. Although a positive control was not included for the resistance genes, a non-template control (NTC), which contained no DNA, was used to ensure the absence of contamination.
2.5 Statistical analysis
Data were entered into Microsoft Excel 2020® (Microsoft Corp., Redmond, WA, USA) and analyzed using SPSS version 25 (IBM Corp., Armonk, NY, USA) and GraphPad Prism version 8.4.3 (GraphPad Software, Inc.). The Pearson’s chi-square test was conducted to compare the occurrence of E. coli across different sample categories (e.g., DNCC, DSCC, and GCC). Prevalence percentages were calculated by dividing the number of positive samples in each category by the total number of samples tested within that category [46,47]. The prevalence formula was applied for determining occurrence percentage of E. coli. The AMR patterns, resistance, intermediate and sensitivity, and MAR index were calculated using the CLSI (2023) guideline using the cut-off as provided in the brochure of the manufacturer (Liofilchem®, Italy). Additionally, an identical test was done to determine whether the presence of resistance genes caused variations in phenotypic antibiotic resistance. For the test, p < 0.05 was considered statistically significant.
Results
3.1 Overall prevalence of E. coli
In this study, 145 samples were collected from DNCC, DSCC, and GCC and subjected to analysis. The identification process involved culturing the samples, performing biochemical tests, and conducting PCR targeting the malB gene (S2 Fig). Out of the total samples, 85 isolates were confirmed as E. coli. This resulted in an overall prevalence of E. coli in the studied samples of 58.62% (95% CI: 50.48–66.31) (S2 Table). This prevalence indicates that more than half of the samples contained E. coli, reflecting its significant presence in the studied areas.
3.2 Prevalence of E. coli in urban (DNCC and DSCC) areas of Bangladesh
In DNCC, a total of 85 samples, including vegetables, water, and soil, were collected from rooftop (n = 43) and surface (n = 42) gardens. The overall prevalence of E. coli in these samples was 44.70% (95% CI, 34.59–55.28) (Fig 1A, S3 Table). However, the prevalence of E. coli was lower in rooftop gardens, at 20.93% (95% CI: 11.42–35.20), compared to surface gardens, which had a higher occurrence of 69.04% (95% CI: 53.97–80.92) (Fig 1B, S4 Table). In the rooftop samples of DNCC, E. coli was detected in vegetables and soil with frequencies of 28.0% (95% CI: 14.28–47.57) and 25% (95% CI: 4.44–59.07), respectively. Water samples from the rooftop gardens were found to be free of E. coli (Fig 1C, S5 Table). In contrast, surface samples showed E. coli prevalence rates of 86.95% (95% CI: 67.87–95.46) in vegetables, 12.5% (95% CI: 0.64–47.08) in water, and 72.73% (95% CI: 43.43–90.25) in soil (Fig 1C, S6 Table).
Fig 1. Prevalence of E. coli based on study areas (DNCC, DSCC, and GCC), locations (rooftop and surface gardens), and sample types (vegetables, water and soils).
Similarly, from DSCC, 30 samples were collected, including rooftop gardens (n = 15) and surface gardens (n = 15), with an 80.0% prevalence found (95% CI, 62.69–90.49) (Fig 1A, S3 Table). Consistent with DNCC, the prevalence of E. coli was lower in rooftop gardens (73.33%, 95% CI, 48.05–89.10) compared to surface gardens (86.67%, 95% CI, 62.12–97.63) (Fig 1B, S4 Table). In rooftop gardens of DSCC, E. coli was found in 70% of vegetable samples (95% CI, 39.67–89.22), 50% of water samples (95% CI, 2.56–97.43), and 100% of soil samples (95% CI, 43.85–100) (Fig 1C, S5 Table). Conversely, in surface gardens of DSCC, E. coli prevalence was highest in vegetables (100%, 95% CI, 72.24–100), followed by soil (66.67%, 95% CI, 11.84–98.29) and water samples (50%, 95% CI, 2.56–97.43) (Fig 1C, S6 Table).
3.3 Prevalence of E. coli in peri-urban (GCC) areas of Bangladesh
In the peri-urban area of GCC, a total of 30 samples (15 from rooftop gardens and 15 from surface gardens) were collected and analyzed, with an overall E. coli prevalence of 76.7% (95% CI, 59.07–44.20) (Fig 1A, S3 Table). In contrast to the urban areas (DNCC and DSCC), E. coli prevalence was higher in rooftop gardens (93.33%, 95% CI, 70.18–99.65) compared to surface gardens (60.0%, 95% CI, 35.74–80.17) in the peri-urban area of GCC (Fig 1B, S4 Table). Specifically, E. coli was found in 100% of vegetable (95% CI, 72.24–100) and soil (95% CI, 17.76–100) samples from rooftop gardens, while water samples had a prevalence of 66.7% (95% CI, 11.84–98.29) (Fig 1C, S5 Table). In contrast, water samples from surface gardens were free of E. coli. However, E. coli was detected in 70.0% of vegetable (95% CI, 39.68–89.22) and 66.7% of soil (95% CI, 11.84–98.29) samples from the same gardens (Fig 1C, S6 Table).
3.4 Antibiogram profile of E. coli
The overall antibiogram profile of isolated E. coli is presented in Fig 2. Out of the 85 isolates, a random selection of 54 was subjected to antibiogram testing. Resistance was observed across all isolates to ampicillin (AMP; 100%), with varying resistance rates noted for ciprofloxacin (CIP; 25.92%), tetracycline (TET; 14.81%), cotrimoxazole (COT; 14.81%), imipenem (IMP; 9.25%), and fosfomycin (FOS; 1%) (Fig 2). Additionally, these isolates showed intermediate resistance to ciprofloxacin (CIP; 74.0%), imipenem (IMP; 37.0%), and fosfomycin (FOS; 33.0%). Fortunately, the tested E. coli isolates were 100% susceptible to gentamicin (GEN), ceftazidime (CAZ), chloramphenicol (C), nitrofurantoin (NIT), and ceftriaxone (CTR). They were also susceptible to tetracycline (TET; 79.6%), cotrimoxazole (COT; 79.6%), fosfomycin (FOS; 64.8%), and imipenem (IMP; 53.7%) (Fig 2). However, bivariate analysis of the tested antibiotics revealed a strong positive and significant correlation between resistance to tetracycline and cotrimoxazole (p = 0.002, ρ = 0.413) (Table 2).
Fig 2. Overall resistance rates of the 54 E. coli isolates to 11 antibiotics.
The percentage of R (Resistant, olive), I (Intermediate resistant, orange), and S (Susceptible, green) profiles are indicated for each antibiotic inside the bar chart. CIP: Ciprofloxacin, GEN: Gentamicin, CAZ: Ceftazidime, TET; Tetracycline, IMP; Imipenem, COT; Cotrimoxazole, FOS; Fosfomycin, AMP; Ampicillin, C; Chloramphenicol, NIT; Nitrofurantoin and CTR: Ceftriaxone.
Table 2. Pearson correlation coefficient to assess the pairs of any of two resistant antibiotics used in E. coli.
| Antibiotics | TET | CIP | COT | FOS | IMP | |
|---|---|---|---|---|---|---|
| TET | Pearson Correlation | 1 | ||||
| Sig. (2-tailed) | ||||||
| AMP | Pearson Correlation | -0.057 | ||||
| Sig. (2-tailed) | 0.681 | |||||
| CIP | Pearson Correlation | 0.229 | 1 | |||
| Sig. (2-tailed) | 0.096 | |||||
| COT | Pearson Correlation | 0.413** | 0.229 | 1 | ||
| Sig. (2-tailed) | 0.002 | 0.096 | ||||
| FOS | Pearson Correlation | -0.057 | -0.081 | -0.057 | 1 | |
| Sig. (2-tailed) | 0.681 | 0.559 | 0.681 | |||
| IMP | Pearson Correlation | 0.226 | 0.103 | 0.226 | -0.044 | 1 |
| Sig. (2-tailed) | 0.1 | 0.46 | 0.1 | 0.753 | ||
** Correlation is significant at the 0.01 level (2-tailed). TET: Tetracycline, CIP: Ciprofloxacin, COT: cotrimoxazole, FOS: Fosfomycin, IMP: Imipenem.
3.5 Phenotypic resistance patterns of the multidrug resistance E. coli isolates
Table 3 presents the phenotypic multidrug resistance (MDR) patterns of the E. coli isolates. Among the 54 isolates, 48.14% (95% CI: 35.39–61.14) exhibited MDR. In total, 10 distinct antibiotic resistance patterns were identified. The most prevalent pattern was pattern no. 1 (AMP, TET, CIP, COT, IMP), observed in 14.81% of isolates, followed by pattern no. 2(AMP, TET, COT) in 12.96% of the isolates. Patterns no. 3, 4, 5, 6, and 7, which include combinations like (AMP, TET, CIP), (AMP, CIP, COT), (AMP, COT), (AMP, TET), and (AMP, IMP) showed a prevalence of 11.11%. The least prevalent pattern was pattern no. 8 (AMP, FOS), 9 (AMP, CIP), and 10 (AMP), observed in 5.55% of the isolates. The multiple antibiotic resistance (MAR) indices were found to vary between 0.09 and 0.45 (Table 3).
Table 3. Resistance patterns of multidrug resistant (MDR) E. coli isolates.
| Pattern No. | Resistance patterns | No. of antibiotics (classes) | No. of MDR Isolates | MDR (%) |
MAR index |
|---|---|---|---|---|---|
| 1 | AMP, TET, CIP, COT, IMP | 5(5) | 7 | 48.14 | 0.45 |
| 2 | AMP, TET, COT | 3(3) | 7 |
0.27 |
|
| 3 | AMP, TET, CIP | 3(3) | 6 | ||
| 4 | AMP, CIP, COT | 3(3) | 6 | ||
| 5 | AMP, COT | 2(2) | 7 |
0.18 |
|
| 6 | AMP, TET | 2(2) | 6 | ||
| 7 | AMP, IMP | 2(2) | 6 | ||
| 8 | AMP, FOS | 2(2) | 3 | ||
| 9 | AMP, CIP | 2(2) | 3 | ||
| 10 | AMP | 1(1) | 3 | 0.09 |
TET: Tetracycline, AMP: Ampicillin, CIP: Ciprofloxacin, COT: Cotrimoxazole, FOS: Fosfomycin, IMP: Imipenem.
3.6 Genotypic resistance patterns of E. coli isolates
The presence of two AMR genes (e.g., blaTEM and tetA) in all E. coli isolates was assessed by PCR (Fig 3). Among the 54 randomly selected E. coli isolates, all 54 (100.0%) exhibited phenotypic resistance to ampicillin. In contrast, only 8 isolates (14.81%) demonstrated phenotypic resistance to tetracycline. In the E. coli isolates that exhibited resistance to ampicillin, the blaTEM gene was detected in 81.48% (95% CI: 69.16–89.61, 44 out of 54 isolates). In those resistant to tetracycline, the tetA gene was present in 25.0% (95% CI: 4.44–59.07, 2 out of 8 isolates) (Fig 3).
Fig 3. Heatmap illustrating the distribution of resistance genes (blaTEM and tetA) in E. coli isolates, with the X-axis representing the resistance genes and the Y-axis displaying the isolates.
In the heatmap, the red color denotes resistant isolates, while the green color indicates sensitive isolates.
Discussion
Foodborne illnesses have increasingly become a significant concern across communities globally [48,49]. This rise in foodborne illnesses is attributed to variations in distribution patterns, manufacturing processes, and consumer behaviors [11]. This study on the prevalence and antibiotic resistance profiles of E. coli in urban (DNCC and DSCC) and peri-urban (GCC) rooftop and surface gardens explored the frequency of this pathogen in these environments and its resistance to various antibiotics. We also assessed how often E. coli is found in rooftop versus surface gardens and examined the antibiotic resistance patterns of isolated strains and the presence of specific resistance genes. In this study, the overall prevalence of E. coli was found to be 58.62%, indicating a significant presence of this pathogen in the surveyed urban and peri-urban gardens. In a similar study, Nipa et al. reported a 40.62% prevalence of E. coli in fresh salad vegetables, which is lower compared to the prevalence observed in the current study [50]. Raw vegetables are particularly vulnerable to contamination by pathogenic bacteria like E. coli, which can either be dispersed on the plant surface or embedded as microcolonies within plant tissues [51]. In developing countries like Bangladesh, the incidence of foodborne illnesses linked to contaminated vegetables is notably high [52,53]. The lack of research and surveillance often results in many outbreaks going unreported, with only a limited number documented in scientific literature.
The study provides a detailed examination of E. coli prevalence in urban gardens, revealing distinct patterns between rooftop and surface gardens in DNCC and DSCC. In DNCC, the overall E. coli prevalence was 44.70%, with rooftop gardens exhibiting a lower prevalence (20.93%) compared to surface gardens (69.04%). Specifically, E. coli was present in 28.0% of rooftop vegetable samples and 25% of rooftop soil samples, while no E. coli was detected in rooftop water samples. Conversely, surface gardens had a significantly higher prevalence of E. coli in vegetables (86.95%), with lower levels in water (12.5%) and a substantial prevalence in soil (72.73%). The findings from DSCC corroborate these trends, showing an overall E. coli prevalence of 80.0%. Rooftop gardens in DSCC had a prevalence of 73.33%, whereas surface gardens had a higher prevalence of 86.67%. In rooftop gardens, E. coli was found in 70% of vegetable samples, 50% of water samples, and 100% of soil samples. In surface gardens, the pathogen was detected in 100% of vegetable samples, 66.67% of soil samples, and 50% of water samples. However, in the peri-urban area of GCC, a total of 30 samples from rooftop and surface gardens revealed a high overall E. coli prevalence. Rooftop gardens had a higher prevalence compared to surface gardens. Specifically, E. coli was found in 100% of vegetable and soil samples from rooftop gardens and in 66.7% of water samples. In surface gardens, E. coli was present in 70.0% of vegetable samples and 66.7% of soil samples but was absent from water samples. These results indicate that rooftop gardens experience more extensive contamination, particularly in vegetables and soil, highlighting the need for enhanced sanitation and management practices in both garden types to address E. coli contamination [11,24]. Agricultural practices in rooftop and surface gardens in urban and peri-urban areas of Bangladesh, such as using manure-based fertilizers, irrigating with possibly contaminated water, and applying pesticides or antibiotics, may introduce and propagate MDR bacteria. This contamination can transfer to plants and soil, posing public health risks when these vegetables are consumed. Although this study analyzed a limited sample size, it marks, to the best of our knowledge, the first investigation of antimicrobial resistance in urban and peri-urban garden systems in Bangladesh, highlighting a critical area for further research and monitoring.
While the presence of E. coli in these urban settings has been shown not to be a good indicator of pathogens, we assume that E. coli is prevalent in urban and rooftop gardens due to factors like contaminated water sources, exposure to animal waste, insufficient hygiene practices, and soil quality issues [54]. These conditions create ideal environments for bacterial contamination, impacting food safety. The elevated E. coli prevalence in surface gardens may stem from differences in soil type, irrigation, fertilization, and exposure to human or animal activity, which vary significantly from rooftop gardens [55,56]. The role of soil as a primary reservoir for E. coli suggests its capacity to sustain and spread the bacterium to plants and ultimately to humans [57,58]. Additionally, the use of unsanitized organic fertilizers or compost in surface gardens can introduce bacteria, while rooftop gardens exhibited no contamination in water samples, implying more controlled inputs. Lower prevalence in water compared to vegetables may indicate dilution effects or sampling differences, while high soil prevalence reinforces soil’s potential as an E. coli reservoir [58]. This underscores the public health significance of soil in urban and rooftop gardens, where contaminated soil can directly impact food safety and increase the risk of E. coli-related infections.
The antibiogram of 54 E. coli isolates showed universal resistance to ampicillin (100.0%) and varying resistance rates to ciprofloxacin, tetracycline, cotrimoxazole, imipenem, and Fosfomycin (< 30.0%). Intermediate resistance was noted for ciprofloxacin (74%), imipenem (37%), and fosfomycin (33%). There were high susceptibility rates (100.0%) among the E. coli isolates to gentamicin, ceftazidime, chloramphenicol, nitrofurantoin, and ceftriaxone. Remarkably, a significant correlation was found between resistance to tetracycline and cotrimoxazole (p = 0.002, ρ = 0.413). In this study, 48.14% of the E. coli isolates showed multidrug resistance (MDR), with 10 distinct resistance patterns identified. The most common pattern involved ampicillin alone, while other patterns included combinations of ampicillin with various antibiotics. These results moderately contrast with those of Cao et al., who reported a 92.9% multidrug resistance rate among E. coli isolates from retail fresh vegetables in Shaanxi Province, China [59]. This study also noted variability in the MAR indices among the isolates. Antibiotic-resistant bacteria like E. coli can migrate from one location to another and from the environment to humans via the consumption of raw vegetables. This transmission pathway underscores the importance of monitoring and managing antibiotic resistance in agricultural and food safety practices [60]. Unlike our findings, which showed 14.81% of E. coli isolates resistant to tetracycline, two previous studies reported higher resistance rates of 80% and 43.06%, respectively [61,62]. Many studies have documented the presence of drug-resistant E. coli and other coliforms in vegetables [53,60,63]. This highlights a concerning trend in food safety, as the consumption of contaminated vegetables can facilitate the spread of antibiotic-resistant bacteria to humans. The fact that ampicillin is a clinical antibiotic makes this more disturbing and suggests the source of contamination may have been from human waste and thus corroborate the assumption that contamination is due to discharge from anthropogenic sources [53]. This result also agrees with a recent report of high tetracycline resistance observed among E. coli isolates [53]. Moreover, the detection of resistance phenotype was also supported by the detection of blaTEM and tetA genes in the E. coli isolates. All 54 isolates were resistant to ampicillin, with 81.48% carrying the blaTEM gene. However, only 14.81% showed resistance to tetracycline, and among these, 25.0% had the tetA gene. Statistical analysis indicated that while ampicillin-resistant isolates had similar frequencies of blaTEM and tetA genes, tetracycline-resistant isolates had a significantly (p = 0.035) higher prevalence of tetA compared to blaTEM, highlighting differences in phenotypic resistance. E. coli is a common component of the intestinal flora and is generally harmless. However, antibiotic resistance genes like blaTEM and tetA present in commensal E. coli can be transferred to pathogenic strains like E. coli O157 or Salmonella spp. [53,64]. This gene transfer can lead to serious health issues, complicating treatment and increasing the risk of severe infections [64]. In contrast to our findings, Kim and Woo (2014) characterized antimicrobial-resistant E. coli from organic vegetables and found a lower prevalence of blaTEM genes (3.6%) but a higher prevalence of tetA genes (10.7%) [63].
Industrialization has increased health awareness, leading people to prefer homegrown vegetables with minimal pesticides, fertilizers, and antibiotics. Consequently, antibiotic resistance remains moderate, with multidrug resistance (14.81%) in E. coli being a concern. Sustainable farming practices, regular hygiene, and farm management are essential to control resistance. Effective management is crucial to mitigate the risks posed by antibiotic-resistant E. coli in urban agriculture. While E. coli can be found in various environments, the lack of detailed information regarding gardening practices in the three areas limits the applicability of our findings for effective garden management. To enhance vegetable safety for human consumption, further research should focus on comparing soil quality, water sources, and preparation techniques. This would provide actionable insights for improving hygiene practices and mitigating contamination risks in both rooftop and surface gardens.
5. Conclusion
MDR E. coli poses a significant public health threat worldwide. The findings from the present study provide the prevalence of E. coli in vegetables, water and soil samples at the urban (DNCC and DSCC) and peri-urban (GCC) rooftop and surface gardens harboring blaTEM and tetA resistance genes. Detection was confirmed both phenotypically and genotypically via PCR, raising serious public health concerns. Fresh salad vegetables could be a potential source of drug-resistant E. coli. This study is the first in Bangladesh to report MDR E. coli from rooftop vegetables, soil, and water in urban (DNCC and DSCC) and peri-urban (GCC) rooftop and surface gardens of Bangladesh. Overall, these findings emphasize the importance of monitoring and managing E. coli contamination in urban and peri-urban gardens, especially in areas with high prevalence. Our findings underscore the importance of public awareness about hygiene practices and environmental controls to minimize contamination risks in both surface and rooftop gardens. Encouraging regular monitoring and thoroughly washing rooftop garden produce with safe, potable water is essential to safeguard public health and prevent potential foodborne illnesses. Regular training and awareness programs for gardeners about best practices can also enhance overall food safety and reduce public health risks.
Supporting information
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(a) Urban (Dhaka North City Corporation; DNCC and Dhaka South City Corporation; DSCC) and peri-urban (Gazipur City Corporation; GCC) areas of Bangladesh. (b) Rooftop gardens and (c) Surface gardens.
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Lane 1: 1 kb DNA Marker; Lane 2: Negative control; Lane 3: Positive control; and Lane 4–13: Representative E. coli isolates.
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(a) PCR amplification of beta-lactamase-producing blaTEM gene in representative E. coli isolates. (b) PCR amplification of tetracycline resistance tetA gene in representative E. coli isolates.
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Acknowledgments
The authors would like to thank the authority who provided us with the samples from diverse environment to the support the research.
Data Availability
All relevant data are within the paper and its Supporting Information files. The minimal dataset necessary to replicate our study findings is publicly available in Supporting Information Files. Additional information regarding data and materials can be requested from the corresponding author.
Funding Statement
This work was conducted as part of the CGIAR Research Initiative on Resilient Cities Through Sustainable Urban and Peri-urban Agri-food Systems and is supported by contributors to the CGIAR Trust Fund (https://www.cgiar.org/funders).
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