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Occurrence of virulence genes in multidrug-resistant Escherichia coli isolates from humans, animals, and the environment: One health perspective

  • Edwin M. James,

    Roles Conceptualization, Formal analysis, Investigation, Methodology, Resources, Writing – original draft, Writing – review & editing

    Affiliations Department of Biochemistry and Molecular Biology, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania, Department of Biochemistry and Molecular Biology, Kilimanjaro Christian Medical University College, Kilimanjaro, Tanzania

  • Zuhura I. Kimera,

    Roles Conceptualization, Methodology, Writing – original draft, Writing – review & editing

    Affiliation Department of Environmental and Occupational Health, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania

  • Fauster X. Mgaya,

    Roles Investigation, Writing – review & editing

    Affiliation Department of Microbiology & Immunology, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania

  • Elieshiupendo M. Niccodem ,

    Roles Writing – original draft, Writing – review & editing

    eshimankamike137@gmail.com

    Affiliations Department of Microbiology & Immunology, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania, Department of Microbiology & Immunology, Kilimanjaro Christian Medical University College, Kilimanjaro, Tanzania

  • Joely Ezekiely Efraim,

    Roles Formal analysis, Writing – review & editing

    Affiliation Department of Economics and Statistics, Moshi Cooperative University, Kilimanjaro, Tanzania

  • Mecky I. Matee,

    Roles Conceptualization, Methodology, Supervision, Writing – original draft, Writing – review & editing

    Affiliation Department of Microbiology & Immunology, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania

  • Erasto V. Mbugi

    Roles Conceptualization, Methodology, Supervision, Writing – original draft, Writing – review & editing

    Affiliation Department of Biochemistry and Molecular Biology, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania

Abstract

Escherichia coli is one of the critical One Health pathogens due to its vast array of virulence and antimicrobial resistance genes. This study used multiplex PCR to determine the occurrence of virulence genes bfp, ompA, traT, eaeA, and stx1 among 50 multidrug-resistant (MDR) E. coli isolates from humans (n = 15), animals (n = 29), and the environment (n = 6) in Dar es Salaam, Tanzania. Their association with antimicrobial-resistant genes (ARGs) was determined using Principal Component Analysis (PCA). All 50/50 (100%) MDR E. coli isolates carried at least one virulence gene, with 19/50 (38%) carrying four genes, bfp + traT + eaeA + ompA. The findings showed a high occurrence of virulence genes bfp (82%), traT (82%), eaeA (78%), and ompA (72%); the study detected no stx1 in any of the isolates. In humans, the most detected virulence genes were bfp and traT 14/15 (93.3%); for poultry, it was eaeA 13/14 (92.9%); for pigs, was bfp and traT 13/15 (86.7%); while for river water, it was eaeA 6/6 (100%). The study observed no significant association between virulence genes and ARGs. PCA results show the genes ompA, traT, eaeA, and bfp contributed to the virulence of the isolates, and blaTEM, blaCTX-M, and qnrs contributed to ARGs. The PCA ellipses show that isolates from pigs had more virulence genes than those isolated from poultry, river water, and humans. The high frequency of numerous virulence genes in MDR E. coli isolates from humans, animals, and the environment indicates that these isolates have a very high potential to cause diseases that are difficult to treat because they are MDR.

Background

Gram-negative bacterial pathogens, including third-generation cephalosporin-resistant Escherichia coli (E. coli) cause severe infections due to their high virulence and antimicrobial resistance, with limited treatment options [1,2]. This group of bacteria possesses a wide array of antimicrobial resistance genes (ARGs) and virulence genes (VGs), making them particularly dangerous pathogens [3].

E. coli carries several antimicrobial resistance genes (ARGs) that include; extended- spectrum beta-lactamase (ESBL) genes (blaSHV, blaCTX-M and blaTEM), carbapenemase genes (blaKPC, blaNDM, and blaOXA-48), plasmid-mediated quinolone resistance (PMQR) genes (qnrA, qnrB, qnrS, qnrC, qnrD, qepA, and aac(6)-Ib-cr), and tetracycline resistance genes (tetA, tetB) [4,5]. Other genes encode for resistance against macrolides (ermB), sulfonamides (sul1, sul2, sul3), trimethoprim (dfrA), aminoglycosides (aac(3), aph(3), aadA) and chloramphenicol (catA1) [46].

In addition, E. coli has several virulence mechanisms that include adherence to the host cell, membrane, invasion into the host cell, competition for iron, toxin production, and host immune evasion, among others [58]. The bundle-forming pilus (bfp) gene and E. coli attaching and effacing (eae) gene are involved in adherence to a host cell, stx-1 encodes production of the Shiga toxin (stx), while the outer membrane protein A (ompA) gene and the traT gene help E. coli to evade host immune system [510].

Both antimicrobial resistance and virulence genes are essential for pathogenic bacteria to adapt to and survive in competitive microbial environments [11,12], and their co-occurrence leads to increased severity of infections [12]. Several studies have reported the occurrence and distribution of ARGs, virulence genes, or both of them in multidrug-resistant (MDR) E. coli isolates from humans, animals, and the environment [4,6,1317]. Fewer studies have gone further to assess the association between ARGs and virulence genes showing significant variations [5,13,1823].

In Tanzania, there have been reports of extensive interaction among humans, animals, and the environment, which has the potential to favor horizontal transmission of ARGs and virulence genesacross these compartments [4,2430]. However, only one has assessed the occurrence and distribution of virulence genes in MDR E. coli and their association with ARGs in one health compartment [5]. In that study, E. coli isolated from humans, rodents, chickens, and soil had predominantly blaTEM, blaCTX-M, blaSHV, tetA, tetB, and qnrA ARGs and virulence genes (traT) and did find positive correlations with virulence genes qnrA, qnrB, and bfp [5]. The study however, showed that rodent isolates had more antimicrobial and virulence genes than those isolated from chickens, soil, and humans, underlying a rather complex epidemiology of resistance and virulence determinants.

This study was carried out to screen for the occurrence of virulence genes bfp, ompA, traT, eaeA, and stx1 in MDR E. coli isolates from humans, animals, and the environment and to determine their association with ESBL genes (blaCTX-M, blaTEM, and blaSHV) and plasmid-mediated quinolone resistance (PMQR) genes (qnrA, qnrB, qnrS, qnrC, qnrD, qepA, and aac (6)-Ib-cr). To demonstrate the influence of resistance genes on the occurrence of different virulence genes, principal component analysis (PCA) was used, and with the deployment of PCA ellipses, it was possible to find whether isolates from humans, pigs, poultry, or river water possessed more virulence genes or not. This study was able to assess the respective capability of these compartments as gene reservoirs. The study hypothesized a high frequency of virulence genes in these isolates since virulence genes and ARGs tend to co-occur.

Materials and methods

The study attained ethical clearance from the Research and Ethical Committee of the Muhimbili University of Health and Allied Sciences (MUHAS) (Ref. No. MUHAS-REC-03-2024-2116).

Study location

The study was conducted in Dar es Salaam, Tanzania. The city has five administrative districts, with a population of 5,383,728 living in 1,393 km2, a population density of 3,865/km2, and an annual population growth of 2.1%. It is the main engine of economic development (2022 population census).

Study isolates

This cross-sectional study involved 50 isolates of MDR E. coli that were collected in previous studies that were conducted in Dar es Salaam [26,29,31]. Fifteen isolates were from humans, 14 from poultry, 15 from domestic pigs (15), and 6 from the river (6). The isolates had been stored at -80°C at the Microbiology Research Laboratory, of the Muhimbili University of Health and Allied Sciences (MUHAS).

Biochemical identification of the isolates

The isolates were identified by colonial morphology, Gram stain, and a set of conventional biochemical tests (catalase, oxidase, indole, methyl red, Voges–Proskauer and citrate utilization tests, and lactose fermentation) [4,26,29,31]. Confirmation was done using the Analytical Profile Index (API) 20E (BioMérieux, Marcyl’Etoile, France).

Phenotypic and genotypic antimicrobial susceptibility testing

Phenotypic antimicrobial susceptibility testing was done using the Kirby–Bauer disc diffusion method [32] on Mueller Hinton agar (Becton, Dickinson and Company, New Jersey, USA) based on the 2022 Clinical Laboratory Standard Institute (CLSI) guidelines [33] and using the most commonly prescribed antibiotics. An isolate was considered multidrug-resistant (MDR) if it was non-susceptible to three or more different classes of antimicrobials [34].

Genotypic screening of ARGs was done as described in a previous study [4]. Briefly, DNA was extracted from cultured isolates using the boiling method. The polymerase chain reaction (PCR) was used for screening ESBL genes (blaCTX-M, blaTEM, and blaSHV) and plasmid-mediated quinolone resistance (PMQR) genes (qnrA, qnrB, qnrS, qnrC, qnrD, qepA, and aac (6)-Ib-cr) [4].

DNA extraction for the screening of virulence genes

In screening for virulence genes, MDR E. coli isolates were inoculated on MacConkey agar (MCA) (Oxoid Ltd., Hampshire, UK) and incubated aerobically at 37°C for 24 hrs. Colonies that appeared pink or red on MCA were subcultured on nutrient agar (NA) (HI Media, Mumbai, India) and incubated aerobically at 37°C for 24 hours [12]. DNA extraction was done by boiling in a water bath at 100°C for 10 min and centrifugation at 13000 rpm for 10 min [35]. Centrifugation and separation of the supernatant were done in sterile Eppendorf PCR tubes (Eppendorf AG, Hamburg, Germany). The concentration and quality of DNA were measured using a Nanodrop spectrophotometer (Biochrom LTD, Cambridge, England) at a 260/280 wavelength. The researcher stored the extracted DNA at -20°C before using it [4].

PCR mixture for the detection of virulence genes

For the detection of virulence genes bfp, traT, ompA, stx1, and eaeA, this study used the One Tag Master Mix Hot Start DNA polymerase kit (New England Biolabs, Ipswich, MA, USA). Each gene’s forward and reverse primers are shown in Table 1. Lyophilized primers for target genes were reconstituted using nuclease-free water to obtain 100 μM stock and 10 μM working solutions before storage at -20°C.

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Table 1. Primers for virulence genes bfp, traT, eaeA, ompA, and stx1.

https://doi.org/10.1371/journal.pone.0317874.t001

PCR conditions for the detection of ompA, traT, stx1, eaeA, and bfp genes

PCR was carried out in a total volume of 25 μL containing 12.5 μL of 2X Taq PCR Master Mix, 0.5 μL of the 10 μM forward primer for each gene, and 0.5 μL of the 10 μM reverse primer for each gene, 2 μL of DNA template, and 8.5 μL nuclease-free water. PCR optimization and conditioning are indicated in Table 2.

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Table 2. Multiplex PCR conditions for amplification of virulence genes in MDR E. coli isolates.

https://doi.org/10.1371/journal.pone.0317874.t002

Visualization of PCR products by electrophoresis

For visualization of PCR products, 1X Tris-acetate–EDTA (TAE) working buffer was prepared by mixing 980 mL of distilled water with 20 mL of 50X TAE buffer stock solutions in a conical flask. Then, 1.5% of the agarose gel was prepared by dissolving 1.5 grams of agarose (Merck, SA) in 100 mL of the working 1X TAE buffer solution, and the mixture was heated in a microwave until completely dissolved to form homogenous [4]. To facilitate visualization of DNA, 5 μLgel red stain (Sigma-Aldrich, USA) was added to the agarose gel, and cooled to about 60°C, before pouring into the sample comb’s casting tray and allowed to solidify at room temperature [4]. For DNA band size estimation, the amplicons of each sample were mixed with 2 μL loading dye and a 100-base pair marker (New England Biolabs, Ipswich, MA, USA). All gels were run in 1X TAE buffer at 120V for 60 minutes and visualized by UV trans-illumination [4].

Data management and analysis

Data was entered and analyzed in a data spreadsheet (Microsoft® Office Excel 2016). Descriptive analysis was used to determine the frequency of virulence gene(s) among MDR E. coli. The differences in the occurrence of the five genes between sample sources were determined using Chi-square, and a p-value of < 0.05 was considered significant. The Spearman rank correlation test was used to elucidate the association between virulence genes and ARGs. Principal component analysis (PCA) was performed using the R statistical software version 4.1.3 (2022-03-10) to assess the relationships between antimicrobial resistance and virulence genes in the different sample sources.

Results

Distribution of virulence genes in MDR E. coli isolates from different sample sources

Overall, all MDR E. coli isolates, 50/50 (100%), carried at least one of the virulence genes, with 19/50 (38%) carrying four types of virulence genes, eaeA + bfp + ompA + traT. The distribution of virulence genes was as follows: bfp (82%), traT (82%), eaeA (78%), and ompA (72%), while stx1 was not detected (Table 3). For humans, the most detected virulence genes were bfp and traT 14/15 (93.3%); for poultry, it was eaeA 13/14 (92.9%); for pigs, it was bfp and traT 13/15 (86.7%); while for river water the most detected gene was eaeA 6/6 (100%) (Fig 1). The difference in the distribution of the virulence gene eaeA in different sample sources was statistically significant (p = 0.005), while the distribution of other virulence genes had no statistical significance.

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Fig 1. Frequencies of virulence genes in MDR E. coli isolates from different sample sources.

https://doi.org/10.1371/journal.pone.0317874.g001

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Table 3. Distribution of virulence genes in MDR E. coli isolates from different sample sources.

https://doi.org/10.1371/journal.pone.0317874.t003

Co-occurrence of virulence genes in MDR E. coli isolates from different sample sources

As shown in Table 4 below, 38% of the isolates were found to carry four virulence genes, ompA + traT + bfp + eaeA. The majority of the isolates (42%) were found to carry three different types of virulence genes, bfp+traT+eaeA (16%) and ompA+bfp+eaeA (14%) being the most frequent combination of three genes observed. The co-occurrence of two genes was observed in 16% of the isolates, where traT+eaeA (6%) and traT+bfp (6%) were most frequently observed. Only two (4%) isolates were found to carry only one type of virulence gene, ompA (2%) and traT (2%), and both isolates were from pigs.

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Table 4. Co-occurrence of virulence genes in MDR E. coli isolates from different sample sources.

https://doi.org/10.1371/journal.pone.0317874.t004

Association between virulence genes and ARGs

As indicated in Table 5, no significant associations existed between virulence genes and ARGs. The associations were either weakly positive or weakly negative.

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Table 5. Association between resistance and virulence genes of MDR E. coli isolates.

https://doi.org/10.1371/journal.pone.0317874.t005

Figs 24 show the gel electrophoretic bands of the virulence genes ompA and traT, eaeA and stx1, and bfp, respectively. The same figures show positive and negative samples for the genes and negative and positive controls.

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Fig 2. Gel electrophoretic bands of virulence genes (ompA and traT).

Letters L–DNA ladder, N–negative control, and P–positive control. Numbers 3,6,7,8,9,10,12,13,14 and 15 are positive samples for both genes. Numbers 1 and 2 are positive samples for the ompA gene while 4 and 5 are positive samples for the traT gene.

https://doi.org/10.1371/journal.pone.0317874.g002

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Fig 3. Gel electrophoretic bands of virulence genes eaeA and stx1.

Letters L–DNA ladder, N–negative control, and P–positive control. Numbers 1,2,3,4 and 5 are positive samples for eaeA gene. Number 6 is the negative sample for both genes.

https://doi.org/10.1371/journal.pone.0317874.g003

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Fig 4. Gel electrophoretic bands of virulence gene bfp.

Letters L–DNA ladder, N–negative control. Numbers 1,2,4,5,10,11,13 and 14 are positive samples. Numbers 3,7,8,9,12 and 15 are negative samples.

https://doi.org/10.1371/journal.pone.0317874.g004

Principal component analysis results

As shown in Fig 5, the arrows (vectors) for the ompA and traT genes align closer to PC1, indicating a more significant and positive correlation between the virulent genes and PC1, while vectors for the ompA and traT genes are pointing in opposite directions, indicating a negative correlation between them. The length of the arrows shows that the ompA gene contributed more to the virulence of isolates than traT. The vectors for the bfp and eaeA genes are close to each other and PC2, showing their influence on virulence. The length of vectors indicates that the same gene had a more substantial impact on the virulence of isolates than the bfp gene.

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Fig 5. Principal component analysis for virulence genes of E. coli isolates.

https://doi.org/10.1371/journal.pone.0317874.g005

The vectors for blaTEM, blaCTX-M, and qnrS genes show that these genes contributed more to the resistance of isolates than other ARGs (Fig 6). The ellipses’ sizes indicate that poultry isolates had the highest prevalence of ARGs, followed by environmental isolates, with pig isolates having the lowest prevalence.

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Fig 6. Principal component analysis of resistance genes of MDR E. coli isolates.

https://doi.org/10.1371/journal.pone.0317874.g006

PC1 indicates genes with the most significant difference in occurrence across sample sources. PC2 indicates the other significant difference not covered by PC1. Arrows indicate the original variable (the virulence genes of the isolates), and ellipses indicate a region that contains 95% of all samples of a particular source.

PC1 indicates genes with the most significant occurrence difference across sample sources. PC2 indicates the other considerable difference not covered by PC1. Arrows indicate the original variable (ARGs of the isolates), and ellipses indicate a region that contains 95% of all samples of a particular source.

Discussion

This study determined the occurrence and distribution of virulence genes bfp, traT, ompA, stx1, and eaeA, as well as their association with ESBL genes (blaCTX-M, blaTEM, and blaSHV) and plasmid-mediated quinolone resistance (PMQR) genes (qnrA, qnrB, qnrS, qnrC, qnrD, qepA, and aac (6)-Ib-cr) in MDR E. coli isolates from humans, animals, and the environment in Dar es Salaam, Tanzania. The influence of resistance genes on the occurrence of different virulence genes was demonstrated using principal component analysis (PCA). To find out if isolates from humans, pigs, poultry, or river water had more virulence genes, PCA ellipses were employed. It is evident from this study that the respective compartments have potential capabilities to serve as gene reservoirs.

The study found that all 50/50 (100%) of the MDR E. coli isolates carried at least one virulence gene, with 19/50 (38%) having four genes. This study’s results align with a study in Karatu, Tanzania, showing a high proportion of virulence genes (72%) in the MDR E. coli isolates from humans, animals, and the environment [5]. Comparatively, this study found a high frequency of virulence genes bfp (82%), traT (82%), eaeA (78%), and ompA (72%). The study in Karatu had a similar distribution of virulence gene ompA, 72%, but lower occurrences of virulence genes traT (26%), bfp (10%), and eaeA (2%) [5]. In both studies, the occurrence of virulence gene stx1 was low, being 4% in Karatu and 0% in this study, which is in keeping with those of studies conducted in Egypt [36] and Turkey [37], which did not find the gene in E. coli isolates from meat workers and chicken carcasses, respectively. According to the risk factors linked to the stx1 and stx2 genes of E. coli, these virulence genes, which are spread by highly mobile bacteriophages, may have different ecologies, and their frequency is influenced by seasonal and environmental factors, which explains the variations observed globally [38].

The most frequently detected virulence genes in the isolates from humans were traT (which encodes for outer membrane protein [39]) and bfp, which confer the ability to adhere to host cells using bundle-forming pili [5]. Additionally, 86.7% of E. coli isolates from human samples harbored the eaeA gene, which encodes intimin involved in E. coli adherence to the host cell [40]. The ompA gene, encoding for outer membrane protein A, helps E. coli to evade the host immune system [41] and was detected in 80% of isolates. These four genes, which occurred in 80% to 93% of the isolates from humans, seem to have a high significance in human infections in this area.

Compared with other studies, the prevalence of traT seen in this study is higher than that reported in studies done in Karatu (28.6%), Slovakia (59.4%), and Lithuania (81.3%) [5,20,42]. Likewise, the frequency of the virulence gene bfp (93.3%) found by this study in the human isolates is higher than that reported in Karatu (0%) and Syria (42%) [5,43].The eaeA gene was found in a higher proportion of isolates than the 42% reported in Syria [5,43], but nearly equal to the 71.4% reported in another study conducted in Tanzania [5].

In poultry isolates, the same genes were the most frequently detected, with eaeA present in 92.9% of the samples, followed by traT (78.9%), ompA (71.4%), and bfp (64.3%), which differ from a study in Karatu in which the prevalence of virulence genes was eaeA (0%), traT (33.3%), ompA (100%), bfp (0%) and stx1 (8.3%) [5], and in China, where 60% of poultry isolates carried the traT gene [44], and in Iraq, 22% of poultry isolates harbored the bfp gene [45]. The high prevalence of eaeA found in poultry, a gene that encodes for the intimin protein, suggests a significant risk of enteropathogenic E. coli (EPEC) infections from poultry [46].

In isolates from pigs, this study found frequencies of virulence genes traT (86.7%), bfp (86.7%), ompA (66.7%), and eaeA (46.7%), a higher frequency of the eaeA gene compared to that found in rabbits (28.3%) in Tunisia [47]. However, these findings are similar to studies conducted in China, which reported that ompA (86.9%) and traT (84.9%) were among the most frequently detected virulence genes in E. coli isolates from animals [48]. In Pakistan, the prevalence of the eaeA gene (90%) and stx1 gene (25%) in animals [49] was higher than the ones reported in this study. The high presence of traT, bfp, ompA, and eaeA genes in pig isolates means they can adhere to host cells and evade the host immune system, contributing to their persistence and pathogenicity.

This study detected the eaeA gene in all river samples (100%), underscoring the environmental persistence of EPEC strains. The distribution of the other virulence genes was bfp (83.3%), ompA (66.7%), traT (50%), and stx1 (0%). In Pakistan, the eaeA gene was found in (100%) of E. coli isolates from the environment [49]. In comparison, the prevalence was low (16.8%) in Thailand of eaeA in seawater E. coli isolates [40]. Collectively, results from this study and those of others regions strongly indicate the virulence potential of E. coli in water sources and the consequences for public health.

This study found a significant difference in the distribution of the eaeA gene across different sample sources (p = 0.005), suggesting specific varied epidemiological patterns and transmission dynamics in the sampled environments [18,47,49,50]. In contrast, this study found no significant difference in the distribution of other virulence genes, bfp, traT, and ompA, across different sources. This uniformity might indicate a broader adaptive advantage conferred by these genes, enabling E. coli to thrive in diverse environments [12,42,48].

Using principal component analysis, this study found the distribution of the virulence gene ompA to be most important in differentiating samples from different sources, followed by the virulence genes traT, eaeA, and bfp. The vectors for virulence genes ompA and traT were close to PC1 (which indicates the size of the difference among the different sample sources), and those for eaeA and bfp were close to PC2 (which shows the size of the difference among the different sample sources that PC1 did not capture). Using PC1 and PC2 together, virulence genes ompA, traT, eaeA, and bfp were shown to contribute to the virulence of these isolates, aligning with the findings of another study that found the vectors of virulence genes traT and bfp were near PC1 and PC2, respectively [5].

Based on the different sizes of ellipses, PCA showed that isolates from pigs had a higher proportion of virulence genes, followed by those isolated from the environment, with those from poultry and humans having the lowest proportion, which indicates their respective potential as a reservoir for the genes [5,51].

Using the Spearman rank correlation test, this study found either weak positive or negative non-significant associations between virulence genes and ARGs. The association between ompA and blaTEM was weakly positive (r = 0.39), while that between ompA and qnrS was weakly negative (r = -0.35). The association between other virulence genes and ARGs ranged between r = 0.39 and -0.35. This observation may be due to the complex independent evolution and horizontal transfer of virulence genes and ARGs [11]. Indeed, some studies have suggested that the acquisition of resistance to certain antibiotics may be associated with an increase or decrease in the virulence levels depending on the location and mechanism of transfer of specific genes [5,18,5254].

In summary, this study provides valuable insight into the occurrence of selected virulence and antimicrobial resistance (AMR) genes in MDR E. coli isolates from humans and some isolates from poultry, pigs, and river water. This study acknowledges that isolates missed information on ARGs. This study also used a limited set of virulence and AMR genes, which may have contributed to the observed lack of association between virulence genes and ARGs. Finally, this study only used PCR, not advanced genomics such as whole genome sequencing (WGS) and metagenomics. This would have helped in understanding the complexity of resistors’ flow across the compartments and informed interventional measures.

Conclusion

This study demonstrates the widespread distribution of virulence genes bfp, traT, eaeA, and ompA in MDR E. coli isolates from humans, animals, and the environment. These genes encode for various mechanisms of virulence. This study found significant differences in the distribution of the eaeA gene across different sample sources, suggesting specific varied epidemiological patterns and transmission dynamics in the sampled environments. In contrast, this study found no significant difference in the distribution of other virulence genes, bfp, traT, and ompA, across different sources, suggesting a broader adaptive advantage to thrive in diverse environments. PCA results show the genes ompA, traT, eaeA, and bfp contributed to the virulence of the isolates, and blaTEM, blaCTX-M, and qnrs contributed to ARGs. PCA also showed that isolates from pigs had a higher proportion of virulence genes, followed by those isolated from the environment, with those from poultry and humans having the lowest proportion, which indicates their respective potential as a reservoir for the genes. This study recommends advanced genomic analyses that could provide deeper insights into the evolutionary dynamics and transmission pathways of MDR E. coli across compartments, to inform more effective intervention strategies.

Supporting information

S2 Table. Multiplex PCR conditions for amplification of virulence genes.

https://doi.org/10.1371/journal.pone.0317874.s002

(DOCX)

S3 Table. Distribution of virulence genes in MDR E. coli isolates.

https://doi.org/10.1371/journal.pone.0317874.s003

(DOCX)

S4 Table. Co-occurrence of virulence genes.

https://doi.org/10.1371/journal.pone.0317874.s004

(DOCX)

S5 Table. Association between resistance and virulence genes.

https://doi.org/10.1371/journal.pone.0317874.s005

(DOCX)

Acknowledgments

The authors would like to thank all members of the Department of Biochemistry & Molecular Biology and the Department of Microbiology & Immunology at MUHAS for their support during this study.

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