Skip to main content
  • Original Article
  • Published:

Phenotypic and genotypic antibiotic resistance profiles of Escherichia coli O157 from cattle and slaughterhouse wastewater isolates

Abstract

The aims of this study were to determine the minimal inhibition concentration of 20 different antibiotics on cattle and slaughterhouse wastewater Escherichia coli O157, including both Shiga toxigenic E. coli O157 (STEC O157) and non-Shiga toxigenic strains (non-STEC O157) by the Epsilometer test, and to determine the antibiotic resistance gene profiles of the isolates by PCR. A total of 102 cattle and slaughterhouse wastewater E. coli O157 isolates including 96 E. coli O157:H7+ (81 non-sorbitol fermenting [NSF] STEC O157:H7, 12 NSF non-STEC O157:H7, and three sorbitol fermenting [SF] non-STEC O157:H7) and six non-STEC O157:H7- isolated from 744 cattle and slaughterhouse wastewater samples collected within a 2-year period were assessed. Of 93 NSF E. coli O157:H7 isolates, 19 were resistant to tetracycline and sulfamethoxazole, 14 to trimethoprim, 13 to cefoxitin, 11 to streptomycin, 10 to ampicillin, eight to chloramphenicol, six to cephalothin, four to cefaclor, four to aztreonam, and four to nalidixic acid. In six of the E. coli O157:H7- isolates, tetracycline resistance was detected while five of them were also resistant to ampicillin, sulfamethoxazole, and trimethoprim. In PCR analysis, 26.0 % (25/96) of the NSF E. coli O157:H7+ and all of the E. coli O157:H7- isolates harbored one or more antibiotic resistance genes. While tetA, tetB, tetC, strA, strB, and sulI genes were detected from a number of the isolates, tetD, tetE, tetG, cmlA, floR, sulII, aadA, and ampC genes were not detected in any of the isolates. Results suggest a high antibiotic resistance in E. coli O157:H7+/H7- cattle and wastewater isolates. The majority of our resistant isolates, antibacterial resistance genes did not correlate with observed phenotypic resistance. Other resistance traits and regulatory factors that mediate antibiotic resistance should be included in further antimicrobial resistance investigations.

Introduction

Escherichia coli O157:H7 is considered one of the most important food-borne pathogens among Shiga toxin-producing (stx 1 , stx 2 ) E. coli (STEC) strains. It causes diarrhea that may result in life-threatening conditions ranging from hemorrhagic colitis (HC) to hemolytic-uremic syndrome (HUS). Cattle are reported as the main asymptomatic carriers of E. coli O157:H7 and may disseminate the pathogen and infect humans via contaminated products or through the food chain (Meng et al. 2001). Non-STEC O157 strains can also commonly be found in cattle (Shelton et al. 2006; Durso and Keen 2007). Although the pathogenicity of non-STEC O157 isolates to humans is not clear (Durso and Keen 2007), it will be important to investigate the antibiotic resistance profiles for dissemination potential of the resistance to STEC O157 and environment.

Use of antibiotic treatment in humans for treatment of STEC infections is considered dangerous due to the lysis of cells, increased expression of stx genes, and release of Shiga toxins (Stx) in the intestinal tract which causes HUS (Kimmitt et al. 2000; Wong et al. 2000). However, it is reported that using some antimicrobials in the early stage of infection may be protective against HUS progression (Ikeda et al. 1999) and increased survival rates by means of rifampicin and gentamicin use in E. coli O157:H7 infected mice was also reported (Rahal et al. 2011).

Bacterial infections that are resistant to antibiotics continue to cause significant health problems in humans around the world (CDC 2013). In several studies it has been reported that due to the extensive and/or inappropriate use of antibiotics in veterinary medicine for disease prevention, prophylaxis, or growth promotion in animal production, antibiotic resistance in E. coli and E. coli O157:H7 have been reported (Schroeder et al. 2004; Goncuoglu et al. 2010). To link the antibiotic use in agriculture with increased antibiotic resistant infections in humans, three scenarios have been specified (Singer and Williams-Nguyen 2014). In the first scenario, antibiotic use in agriculture may increase resistant pathogens which then infect humans via the food chain or the environment. According to the second scenario, antibiotic use may cause resistance in non-pathogenic strains which then can be transferred to pathogenic strains. In the third scenario, non-pathogenic strains gain antibiotic resistance due to antimicrobials that are released to environment and then, these strains horizontally transfer the resistance to pathogenic strains (Singer and Williams-Nguyen 2014). Additionally, the contribution of wastewater to the spread of antibiotic resistance genes to the environment (Czekalski et al. 2012; Marti et al. (2013) has been reported.

While the present study did not examine the relationship between the antibiotic use in veterinary medicine and resistance in E. coli O157, it may provide information about the antibiotic resistance profiles of STEC and non-STEC O157 cattle and slaughterhouse wastewater isolates, and the results of this study can be used as a starting point to examine how and if management or processing changes might impact the antibiotic resistance profiles of E. coli O157 from cattle and slaughterhouse wastewater. This study characterizes antibiotic resistance of E. coli O157 [sorbitol fermenting (SF) and non-sorbitol fermenting (NSF), STEC and non-STEC] cattle and wastewater isolates and compares the results of phenotypic and genotypic resistance.

Materials and methods

Bacterial strains

A total of 102 cattle and slaughterhouse wastewater isolates consisted of 96 E. coli O157:H7+ (81 NSF STEC O157:H7, 12 NSF non-STEC O157:H7, and three SF non-STEC O157:H7) and six non-STEC O157:H7- isolated from 720 cattle and 24 slaughterhouse wastewater samples collected with monthly visits within a 2-year period in Kirikkale, Turkey were assessed (Ayaz et al. 2014). Out of 102 E. coli O157:H7+/ H7-, after colonies that were isolated from the same sample and harboring the same virulence gene distribution were eliminated, 29 representative subset isolates showing the exact variety of virulence gene distribution (Ayaz et al. 2014) were tested by Epsilometer test (E-test) and conventional PCR for determination of phenotypic antibiotic susceptibility and genotypic antibiotic resistance profiles, respectively. Eighty of these strains were isolated from either carcass sponge or rectoanal mucosal swab (RAMS) samples of cattle that were categorized according to age, breed, or gender, while the remaining 22 were isolated from slaughterhouse wastewater efflux. All the strains used in this study were confirmed by PCR following isolation with immunomagnetic separation based cultivation on Sorbitol MacConkey agar (Oxoid CM0813, Hampshire, UK) supplemented with Cefixime-Tellurite (Oxoid SR0172) (CT-SMAC) (Ayaz et al. 2014).

Detection of MIC values of antibiotics on E. coli O157:H7+/H7- isolates

MIC values for 20 different antibiotics were determined by the E-test, using MIC test strips according to the manufacturer (Liofilchem MIC Test Strips, Roseto degli Abruzzi, Italy) (Table 1) and E. coli ATCC 25922 as the quality control strain. Cultures suspended to 0.5 McFarland standard were spread on Mueller-Hinton agar (MHA, Oxoid CM0337) and incubated at 37 °C for 18 h after the strips were placed. Following incubation, edges of the inhibition ellipse were recorded and breakpoints were interpreted according to the Clinical and Laboratory Standards Institute (CLSI) (Anon 2006). Breakpoints for streptomycin and sulfamethoxazole were interpreted according to Centers for Disease Control and Prevention criteria (CDC 2012).

Table 1 Antibiotic E-test strips used to determine the antibiotic susceptibility profiles of E. coli O157:H7+/H7- cattle and wastewater isolates and antibiotic resistance patterns of the isolates

Detection of antibiotic resistance gene profiles of E. coli O157:H7+/H7- isolates by PCR

Antibiotic resistance genes encoding tetracycline efflux pump (tetA, tetB, tetC, tetD, tetE, and tetG), streptomycin phosphotransferases (strA and strB), aminoglycoside adenyltransferase (aadA), chloramphenicol transporter nonenzymatic chloramphenicol-resistance protein (cmlA), florfenicol export protein (floR), dihydropteroate synthetase type I (sulI), dihydropteroate synthetase type II (sulII), and beta-lactamase-ampicillin resistance (ampC) in E. coli O157:H7 isolates were determined by PCR (Srinivasan et al. 2007).

DNA extraction from the isolates was carried out with Chelex-100 (Bio-Rad, Hercules, CA, USA) as previously described (Ayaz et al. 2014) and 10 μl of the resultant supernatants were used as DNA templates in PCR assays. Primer pairs (Eurofins MWG Operon, Ebersberg, Germany) used in the PCR assays were given in Table 2. Each PCR reaction of 50 μl consisted of 1 × PCR buffer, 2 mM MgCl2, 0.2 mM of each dNTP, 1 U of Taq DNA polymerase (Bioron GmbH, Ludwigshafen, Germany) and 0.1 μM of each primer pairs. After an initial denaturation at 94 °C for 5 min, thermal cycler (Eppendorf mastercycler gradient, Hamburg, Germany) conditions were as follows: 30 cycles of denaturation at 94 °C for 45 s, annealing (temperatures as listed in Table 2) for 45 s and extension at 72 °C for 45 s. Following a final extension for 5 min at 72 °C, resultant PCR products were resolved and visualized on gels as described by Ayaz et al. (2014).

Table 2 Primer pairs, annealing temperatures and PCR protocols used to determine the antibiotic resistance gene profile of E. coli O157:H7+/H7- cattle and wastewater isolates

Statistical analysis

The statistical analysis for determination of the significance of age, gender, and breed of cattle on the antibiotic resistance profiles of E. coli O157:H7 isolates was performed with chi-square and binary logistic regression (SPSS, version 16.0).

Results

Phenotypic antibiotic resistance profiles of E. coli O157:H7 + /H7 - isolates

In the study, 25 of 96 E. coli O157:H7 and all six E. coli O157:H7- isolates were resistant to at least one of the antibiotics tested (Tables 1 and 3). Resistance against tetracycline, sulfamethoxazole, trimethoprim, and ampicillin, were the most prevalent resistances observed, while none of the isolates showed resistance against cefotaxime, gentamicin, or amikacin. Furthermore, high prevalence (41.2 %) of intermediate resistance was observed against cephalothin, followed by amoxicillin/clavulanic acid combination (12.7 %), kanamycin (10.8 %), ceftriaxone (10.8 %), norfloxacin (10.8 %), ciprofloxacin (10.8 %), chloramphenicol (6.9 %), ampicillin (4.9 %), tobramycin (3.9 %), and cefoxitin (3.9 %). None of the 3 SF E. coli O157:H7 strains showed resistance to the antibiotics tested.

Table 3 Phenotypic and genotypic antibiotic resistance patterns of E. coli O157:H7+/H7- cattle and wastewater isolates

Five different phenotypic multiple antibiotic resistance profiles were assessed. Seven of the 96 E. coli O157:H7 isolates were resistant to ampicillin, cefoxitin, streptomycin, tetracycline, sulfamethoxazole, and trimethoprim, while five were resistant to tetracycline and sulfamethoxazole; four were resistant to cephalothin, cefoxitin, cefaclor, aztreonam, streptomycin, tetracycline, nalidixic acid, sulfamethoxazole, trimethoprim, and chloramphenicol; three were resistant to ampicillin, tetracycline, sulfamethoxazole, and trimethoprim; two were resistant to cephalothin and cefoxitin. In five of the six E. coli O157:H7- isolates multiple antibiotic resistance to ampicillin, tetracycline, sulfamethoxazole, and trimethoprim was detected while the remaining one was only resistant to tetracycline.

When the origin of the isolates was considered, resistance against 10 different antibiotics was observed in four of the 22 slaughterhouse wastewater isolates, which was also the widest antibiotic resistance pattern compared to the remaining of the isolates (Table 3). Of the 30 E. coli O157:H7+/H7- originating from RAMS samples of young cattle, eight were resistant to four (ampicillin, tetracycline, sulfamethoxazole, trimethoprim) and three were resistant to six (ampicillin, cefoxitin, streptomycin, tetracycline, sulfamethoxazole, trimethoprim) antibiotics tested. No statistically significant (p > 0.05) influence of age, gender, or breed was observed on antibiotic resistance profiles of the isolates.

Antibiotic resistance gene profiles of E. coli O157:H7+/H7- isolates

A total of 102 cattle and slaughterhouse wastewater isolates including 96 E. coli O157:H7+ (93 NSF and three SF) and six E. coli O157:H7- were tested by PCR to determine the presence of antibiotic resistance genes (tetA, tetB, tetC, tetD, tetE, tetG, strA, strB, aadA, cmlA, floR, sulI, sulII, and ampC). According to PCR results, 26.0 % (25/96) of the E. coli O157:H7+ and all (6/6) of the E. coli O157:H7- isolates harbored one or more antibiotic resistance genes. However, none of the three SF E. coli O157:H7+ harbored any of the antibiotic resistance genes investigated. While at least one of the tetA, tetB, tetC, strA, strB, and sulI genes were detected from 30.4 % (31/102) of the isolates (Fig. 1), tetD, tetE, tetG, cmlA, floR, sulII, aadA, and ampC genes were not detected (Table 3).

Fig. 1
figure 1

Agarose gel electrophoresis of detected antibiotic resistance gene DNA fragments amplified by PCR from selected isolates. Lane M: 100 bp DNA marker; Lane 1: E. coli O157:H7 210 KB (sulI - 779 bp); Lane 2: E. coli O157:H7 168KA (strB - 509 bp); Lane 3: E. coli O157:H7 163KA (strA - 548 bp); Lane 4: E. coli O157:H7 3KA (tetC - 379 bp); Lane 5: E. coli O157:H7 163KA (tetB - 228 bp); Lanes 6: E. coli O157:H7 19RA (tetA – 372 bp)

Out of 102 E. coli O157:H7+/H7- isolates, 26 (25.5 %) were carrying at least one of the tested tetracycline resistance genes. Among tetracycline resistance genes, tetC was the most prevalent (14.7 %; 15/102) followed by tetA (12.7 %; 13/102) and tetB (4.9 %; 5/102). In seven of the 102 (6.9 %) isolates, both tetA and tetC genes were observed. Other than tetracycline resistance gene, sulI, strA, and strB were detected from 13 (12.7 %), five (4.9 %), and five (4.9 %) of the isolates, respectively.

Two different genotypic multiple antibiotic resistance gene profiles were detected from E. coli O157:H7+ isolates: seven (6.9 %) harboring tetA, tetC, and sulI, and five (4.9 %) harboring tetB and strA. In all six (6.1 %) E. coli O157:H7- isolates, tetA and sulI genes were detected.

Discussion

In this study, 31 of the 102 E. coli O157:H7+/H7- isolates originating from cattle and slaughterhouse wastewater were found to be resistant to one or more antibiotics that were investigated. Similar to this study, aztreonam, cefaclor, ampicillin, tetracycline, cephalothin, sulfamethoxazole, trimethoprim, streptomycin, and nalidixic acid resistant E. coli O157:H7 cattle isolates have been reported worldwide (Khan et al. 2002; Vali et al. 2004; Wilkerson et al. 2004; Srinivasan et al. 2007; Goncuoglu et al. 2010). Furthermore, a high prevalence of tetracycline, sulfonamide and ampicillin resistance was observed in accordance with a retrospective previous report that showed increased resistance against these antibiotics in E. coli strains, suggesting a worldwide emergence of this trend (Tadesse et al. 2012). High prevalence of resistance against these antibiotics might not be surprising as ampicillin, due to its broad spectrum activity, tetracycline, due to its broad spectrum activity and short-acting nature, and sulfonamides, due to their low cost and relative high efficacy, are among the most preferred and widely used antimicrobial approaches in veterinary medicine. However, it is important to stress that the strains in this study, which have already established resistance against such widely used antibiotics, also showed intermediate resistance towards cephalosporins such as cephalothin and ceftriaxone or clavulanate-potentiated amoxicillin, or even fluoroquinolones and chloramphenicol. Nevertheless, there was no resistance (MIC values of 0.25 - 4 μg/μl) observed against gentamicin, which has been proven to be a good candidate in the treatment of STEC O157:H7 infections (Rahal et al. 2011).

In a previous study, 63.6 %, 63.6 %, and 9.1 % E. coli O157:H7 isolates from cattle were found to be intermediately resistant to ampicillin, sulfamethoxazole, and cefoxitin, respectively as determined by disc diffusion Goncuoglu et al. 2010). However, we observed high prevalence of resistance to these antibiotics (sulfamethoxazole 23.5 %, ampicillin 14.7 %, cefoxitin 12.7 %). If measures to curb antibiotic resistance are not taken, it is intriguing to speculate that emergence of E. coli O157:H7 strains showing resistance against a wide array of antimicrobial groups is highly possible. Marti et al. (2013) showed the spread of antibiotic resistance genes to the environment via wastewater and its effect on the bacterial population of the receiving river. In a different study, selection of multiresistant strains through wastewater treatment and accumulation of resistance genes were reported (Czekalski et al. 2012). In a study by Mantz et al. (2013), high and low manure accumulation feedlot surface samples were compared for the incidence of erm(B) genes. According to the results, a correlation was not found between high manure accumulation and erm(B) distribution. In the current study, one interesting example was found with the wastewater isolates (M1; Table 3) where resistance against 10 and intermediate resistance against seven antibiotics was shown. In two studies, no relationship was found between antimicrobial use and presences of the β-lactamase gene bla CTX-M in swine finnishing barns and dairy cattle (Mollenkopf et al. 2012; 2013). However, in a different study, high levels of MLSB resistance was detected from a swine farm which tetracycline antimicrobials were detected in manure samples while low levels of MLSB resistance was found from antimicrobial-free farms (Zhou et al. 2009).

Even though the use of chloramphenicol in animals of food value was banned in Turkey in 2002 (Anon 2002), this study found that eight (8.1 %) wastewater isolates showed resistance and seven (7.1 %) cattle isolates showed intermediate resistance to this antibiotic. Pakpour et al (2012) reported that after 2.5 years since antibiotic usage has been banned, bacterial antibiotic resistance to chlortetracycline (tetR) and tylosin (tylR) genes were still detected at a swine complex. Since there had been no data on chloramphenicol resistance in E. coli O157:H7 before the ban in Turkey, it was not possible to make a comparison with the previous occurrence. However, this finding could be attributed either to the selective pressure resulting from the illegal use of this drug or the lingering of this resistance in the population following the ban. Either way, it is clear that slaughterhouses play an important role in dissemination of this and other resistance traits, and it is critical that governmental authorities ensure establishment of slaughterhouse wastewater treatment facilities.

In our study tetA, tetB, tetC, strA, strB, and sulI genes were detected from a number of the isolates while tetD, tetE, tetG, cmlA, floR, sulII, aadA, and ampC genes were not found. Among tet genes, tetC was the most prevalent marker (14.7 %; 15/102) followed by tetA (12.7 %; 13/102) and tetB (4.9 %; 5/102). In a different study, tetA, tetB, tetC, and tetG were found, while tetD and tetE genes were not detected from any of the E. coli O157:H7 isolates (Van kirk and Roberts 2004). Also, Srinivasan et al. (2007) did not detect tetB, tetD, tetE, and tetG from STEC O157:H7 isolates. With the exception of four wastewater isolates (M21; Table 3) that were harboring tetC, all of the isolates that carry one of the tet genes were found phenotypically resistant to tetracycline indicating presence of other determinants (Chopra and Roberts 2001). In accordance with Tuckman et al. (2007), no correlation of phenotypic tetracycline MIC values and presence of genotypic resistance traits could be determined in our study.

Of 24 sulfamethoxazole resistant isolates, half were harboring sulI and none harbored the sulII gene, while one strain that harbors sulI did not display phenotypic resistance. The resistance in isolates that lack both sulI and sulII might be attributed to single amino acid mutations that are prevalently found in E. coli (Lanz et al. 2003); however, presence of a transferable sulfonamide resistance trait, sulI, in half of the isolates displaying resistance to sulfamethoxazole is of importance. Previous work has associated ampicillin resistance with the presence of chromosomal cepholosporinase ampC. Srinivasan et al. (2007) have found that 71.2 % of STEC O157:H7/H7- ampicillin resistant isolates carried ampC; however, we did not detect ampC in any of the 15 ampicillin resistant E. coli O157:H7/H7- isolates. Observed phenotypic resistance and intermediate resistance against ampicillin, amoxicillin/clavulanic acid, and cephalosporins suggests the presence of other plasmid-mediated β-lactamases, and thus further work should investigate such traits as well (Brinas et al. 2002).

Interestingly, isolates (3R and 3 K [96 μg/μl] and M1 [384 μg/μl]) showing streptomycin resistance did not harbor any of the most common streptomycin resistance conferring genes investigated. However, only when streptomycin resistance in isolates was interpreted according to a previously recommended lower cut-off value (Sunde and Norström 2005) rather than CDC criteria (≥64 μg/μl; CDC 2012), five strains (163 K [32 μg/μl]) harboring strA could correlate with phenotypic resistance. In a study that investigated the accuracy of the streptomycin epidemiological cut-off value for Escherichia coli, 208 E. coli isolates exhibiting MICs between 4 and 32 mg/l were selected from 12 countries for the detection of aadA, strA, and strB streptomycin resistance genes by PCR. In the study, 3.6 %, 17.6 %, 53 %, and 82.3 % of the E. coli isolates, which were exhibiting MICs of 4 mg/l, 8 mg/l, 16 mg/l, and 32 mg/l, respectively, were not carrying the mentioned resistance genes. According to the European Committee on Antimicrobial Susceptibility Testing guidelines (cut-off value ≤16 mg/l), 25 % of the E. coli strains presenting MIC ≤16 mg/l would have been categorized incorrectly. Based on these results, the authors recommended a cut-off value of ≤8 mg/l for E. coli (Garcia-Migura et al. 2012). Even though strains harboring strA-strB and aadA were associated with high levels of streptomycin resistance (Sunde and Norström 2005), and the presence of both strA and strB was believed to be crucial for a functional streptomycin resistance (Lanz et al. 2003), our results clearly show that there are other mechanisms, such as mutations or biochemical resistance mechanisms, that might mediate streptomycin resistance as previously discussed (Garcia-Migura et al. 2012).

In conclusion, the current study shows that cattle and slaughterhouse wastewater are reservoirs of antibiotic resistant E. coli O157. According to the results, phenotypic antibiotic resistance and resistance genes were detected both in STEC and non-STEC O157 isolates. Appropriate control should be implemented by governmental authorities to the usage of antibiotics in veterinary medicine to curb the development of novel resistant strains. Slaughterhouse wastewater can contribute to dissemination of antibiotic resistant STEC and non-STEC E. coli O157 into the environment. Our data i) clearly demonstrated that there can be differences between resistances when measured by phenotypic and genotypic methods, and ii) highlighted the need of using both methods for conducting antibiotic resistance monitoring.

References

  • Anon (2002) Gıda deÄŸeri olan hayvanlara uygulanması yasak olan maddeler hakkında tebliÄŸ, 19.12.2002/24968. Amended: Regulation on additives for use in animal nutrition (Hayvan beslemede kullanılan yem katkı maddeleri hakkında yönetmelik) 18.07.2013/28711. Republic of Turkey, Ministry of Food, Agriculture and Livestock

  • Anon (2006) Clinical and Laboratory Standards Institute. Performance standards for antimicrobial susceptibility testing; sixteenth informational supplement. M100-S16 Vol.26 No.3

  • Ayaz ND, Gencay YE, Erol I (2014) Prevalence and molecular characterization of sorbitol fermenting and non-fermenting Escherichia coli O157:H7+/H7- isolated from cattle at slaughterhouse and slaughterhouse wastewater. Int J Food Microbiol 174:31–38

    Article  CAS  PubMed  Google Scholar 

  • Brinas L, Zarazaga M, Saenz Y, Ruiz-Larrea F, Torres C (2002) β-Lactamases in ampicillin-resistant Escherichia coli isolates from foods, humans, and healthy animals. Antimicrob Agents Chemother 46:3156–3163

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  • CDC (2012) Centers for Disease Control and Prevention. National Antimicrobial Resistance Monitoring System for Enteric Bacteria (NARMS): Human isolates final report, 2010. Atlanta, Georgia: U.S. Department of Health and Human Services, CDC

  • CDC (2013) Centers for Disease Control and Prevention: Antibiotic Resistance Threats in the United States. http://www.cdc.gov/drugresistance/threat-report-2013/

  • Chopra I, Roberts M (2001) Tetracycline antibiotics: mode of action, applications, molecular biology, and epidemiology of bacterial resistance. Microbiol Mol Biol Rev 65:232–260

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  • Czekalski N, Berthold T, Caucci S, Egli A, Bürgmann H (2012) Increased levels of multiresistant bacteria and resistance genes after wastewater treatment and their dissemination into Lake Geneva, Switzerland. Front Microbiol 3:1–18

    Article  Google Scholar 

  • Durso LM, Keen JE (2007) Shiga-toxigenic Escherichia coli O157 and non-Shiga-toxigenic E. coli O157 respond differently to culture and isolation from naturally contaminated bovine feces. J Appl Microbiol 103:2457–2464

    Article  CAS  PubMed  Google Scholar 

  • Garcia-Migura L, Sunde M, Karlsmose S, Veldman K, Schroeter A, Guerra B, Granier SA, Perrin-Guyomard A, Gicquel-Bruneau M, Franco A, Englund S, Teale C, Heiska H, Clemente L, Boerlin P, Moreno MA, Daignault D, Mevius D, Hendriksen RS, Aarestrup FM (2012) Establishing streptomycin epidemiological cut-off values for Salmonella and Escherichia coli. Microb Drug Resist 18:88–93

    Article  CAS  PubMed  Google Scholar 

  • Gebreyes WA, Altier C (2002) Molecular characterization of multidrug-resistant Salmonella enterica subsp. enterica serovar Typhimurium isolates from swine. J Clin Microbiol 40:2813–2822

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  • Goncuoglu M, Bilir-Ormanci FS, Ayaz ND, Erol I (2010) Antibiotic resistance of Escherichia coli O157:H7 isolated from cattle and sheep. Ann Microbiol 60:489–494

    Article  CAS  Google Scholar 

  • Guillame G, Verbrugge D, Chasseur-Libotte ML, Moens W, Collard JM (2000) PCR typing of tetracycline resistance determinants (tet A-E) in Salmonella enterica serotype Hadar and in the microbial community of activated sludge from hospital and urban wastewater treatment facilities in Belgium. FEMS Microbiol Lett 32:77–85

    Google Scholar 

  • Ikeda K, Ida O, Kimoto K, Takatorige T, Nakanishi N, Tatara K (1999) Effect of early fosfomycin treatment on prevention of hemolytic uremic syndrome accompanying Escherichia coli O157:H7 infection. Clin Nephrol 52:357–362

    CAS  PubMed  Google Scholar 

  • Keyes K, Hudson C, Maurer JJ, Thayer S, White DG, Lee MD (2000) Detection of florfenicol resistance genes in Escherichia coli isolated from sick chickens. Antimicrob Agents Chemother 44:421–424

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  • Khan A, Das SC, Ramamurthy T, Sikdar A, Khanam J, Yamasaki S, Takeda Y, Nair GB (2002) Antibiotic resistance, virulence gene, and molecular profiles of shiga toxin-producing Escherichia coli isolates from diverse sources in Calcutta, India. J Clin Microbiol 40:2009–2015

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  • Kimmitt PT, Harwood CR, Barer MR (2000) Toxin gene expression by Shiga toxin-producing Escherichia coli: the role of antibiotics and the bacterial SOS response. Emerg Infect Dis 6:458–465

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  • Lanz R, Kuhnert P, Boerlin P (2003) Antimicrobial resistance and resistance gene determinants in clinical Escherichia coli from different animal species in Switzerland. Vet Microbiol 91:73–84

    Article  CAS  PubMed  Google Scholar 

  • Mantz AR, Miller DN, Spiehs MJ, Woodbury BL, Durso LM (2013) Persistence of erythromycin resistance gene erm(B) in cattle feedlot pens over time. Agric Food Anal Bacteriol 3:312–320

    Google Scholar 

  • Marti E, Jofre J, Balcazar JL (2013) Prevalence of antibiotic resistance genes and bacterial community composition in a river influenced by a wastewater treatment plant. PLoS ONE 8:e78906

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  • Meng J, Doyle MP, Zhao T, Zhao S (2001) Enterohemorrhagic Escherichia coli O157:H7. In: Doyle MP, Beuchat LR, Montville TJ (eds) Food microbiology: Fundamentals and frontiers, 2nd edn. ASM Press, Washington, pp 193–213

    Google Scholar 

  • Mollenkopf DF, Weeman MF, Daniels JB, Abley MJ, Mathews JL, Gebreyes WA et al (2012) Variable within and between herd diversity of CTX-M cephalosporinase-bearing Escherichia coli isolates from dairy cattle. Appl Environ Microbiol 78:4552–456

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  • Mollenkopf DF, Mirecki JM, Daniels JB, Funk JA, Henry SC, Hansen GE et al (2013) Escherichiacoli and Klebsiellapneumoniae producing CTX-M cephalosporinase from swine finishing barns and their association with antimicrobial use. Appl Environ Microbiol 79:1052–1054

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  • Pakpour S, Jabaji S, Chénier MR (2012) Frequency of antibiotic resistance in a swine facility 2.5 years after a ban on antibiotics. Microb Ecol 63:41–50

    Article  CAS  PubMed  Google Scholar 

  • Rahal EA, Kazzi N, Sabra A, Abdelnoor AM, Matar GM (2011) Decrease in Shiga toxin expression using a minimal inhibitory concentration of rifampicin followed by bactericidal gentamicin treatment enhances survival of Escherichia coli O157:H7-infected BALB/c mice. Ann Clin Microbiol Antimicrob 10:34

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  • Schroeder CM, White DG, Meng J (2004) Retail meat and poultry as a reservoir of antimicrobial-resistant Escherichia coli. Food Microbiol 21:249–255

    Article  Google Scholar 

  • Schwartz T, Kohnen W, Jansen B, Obst U (2003) Detection of antibiotic-resistance bacteria and their resistance genes in wastewater, surface water, and drinking water biofilms. FEMS Microbiol Ecol 43:325–335

    Article  CAS  PubMed  Google Scholar 

  • Shelton DR, Karns JS, Higgins JA, Van Kessel JA, Perdue ML, Belt KT, Russell-Anelli J, Debroy C (2006) Impact of microbial diversity on rapid detection of enterohemorrhagic Escherichia coli in surface waters. FEMS Microbiol Lett 261:95–101

    Article  CAS  PubMed  Google Scholar 

  • Singer RS, Williams-Nguyen JW (2014) Human health impacts of antibiotic use in agriculture: A push for improved causal inference. Curr Opin Microbiol 19:1–8

    Article  PubMed  Google Scholar 

  • Srinivasan V, Nguyen LT, Headrick SI, Murinda SE, Oliver SP (2007) Antimicrobial resistance patterns of shiga toxin-producing Escherichia coli O157:H7 and O157:H7- from different origins. Microb Drug Resist 13:44–51

    Article  CAS  PubMed  Google Scholar 

  • Sunde M, Norström M (2005) The genetic background for streptomycin resistance in Escherichia coli influences the distribution of MICs. J Antimicrob Chemother 56:87–90

    Article  CAS  PubMed  Google Scholar 

  • Tadesse DA, Zhao S, Tong E, Ayers S, Singh A, Bartholomew MJ, McDermott PF (2012) Antimicrobial drug resistance in Escherichia coli from humans and food animals, United States, 1950-2002. Emerg Infect Dis 18:741–749

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  • Tuckman M, Petersen PJ, Howe AYM, Orlowski M, Mullen S, Chan K, Bradford PA, Jones CH (2007) Occurrence of tetracycline resistance genes among Escherichia coli isolates from the phase 3 clinical trials of tigecycline. Antimicrob Agents Chemother 51:3205–3211

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  • Vali L, Wisely KA, Pearce MC, Turner EJ, Knight HI, Smith AW, Amyes SGB (2004) High-level genotypic variation and antibiotic sensitivity among Escherichia coli O157 strains isolated from two Scottish beef cattle farms. Appl Environ Microbiol 70:5947–5954

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  • Van Kirk N, Roberts MC (2004) Antibiotic resistance and distribution of tetracycline resistance genes in Escherichia coli O157:H7 isolates from humans and bovines. Antimicrob Agents Chemother 48:1066–1067

    Article  PubMed Central  PubMed  Google Scholar 

  • Wilkerson C, Samadpour M, Van Kirk N, Roberts MC (2004) Antibiotic resistance and distribution of tetracycline resistance genes in Escherichia coli O157:H7 isolates from humans and bovines. Antimicrob Agents Chemother 48:1066–1067

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  • Wong CS, Jelacic S, Habeeb RL, Watkins SL, Tarr PI (2000) The risk of hemolytic-uremic syndrome after antibiotic treatment of Escherichia coli O157:H7 infections. N Engl J Med 342:1930–1936

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  • Zhou Z, Raskin L, Zilles JL (2009) Macrolide resistance in microorganisms at antimicrobial-free swine farms. Appl Environ Microbiol 75:5814–5820

    Article  PubMed Central  CAS  PubMed  Google Scholar 

Download references

Acknowledgments

This study was supported by The Scientific and Technological Research Council of Turkey (TUBITAK, project no: 110R013).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Naim Deniz Ayaz.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ayaz, N.D., Gencay, Y.E. & Erol, I. Phenotypic and genotypic antibiotic resistance profiles of Escherichia coli O157 from cattle and slaughterhouse wastewater isolates. Ann Microbiol 65, 1137–1144 (2015). https://doi.org/10.1007/s13213-014-0961-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s13213-014-0961-5

Keywords