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Journal of Microbiology and Biotechnology logoLink to Journal of Microbiology and Biotechnology
. 2020 May 15;30(8):1180–1183. doi: 10.4014/jmb.2003.03058

Prevalence and Characterization of Plasmid-Mediated Quinolone Resistance Determinants qnr and aac(6’)-Ib-cr in Ciprofloxacin-Resistant Escherichia coli Isolates from Commercial Layer in Korea

Kwang Won Seo 1,2, Young Ju Lee 1,*
PMCID: PMC9728193  PMID: 32423191

Abstract

The prevalence and characterization of plasmid-mediated quinolone resistance (PMQR) determinants in ciprofloxacin-resistant Escherichia coli isolated from a Korean commercial layer farm were studied. A total of 45 ciprofloxacin-resistant E. coli isolates were recovered and all isolates were multidrug-resistant. Eight isolates have the PMQR genes aac(6’)-Ib-cr, qnrS1, and qnrB4, and seven isolates exhibited double amino acid exchange at both gyrA and parC, and have high fluoroquinolone minimum inhibitory concentrations. Five transconjugants demonstrated transferability of PMQR and β-lactamase genes and similar antimicrobial resistance. Because PMQR genes in isolates from commercial layer chickens could enter the food supply and directly affect humans, control of ciprofloxacin resistance is needed.

Keywords: Antimicrobial resistance, commercial layer chicken, Escherichia coli, fluoroquinolones, plasmid- mediated quinolone resistance


Ciprofloxacin (CIP) is an important synthetic antimicrobial agent for treating bacterial infections in both humans and animals [1]. CIP resistance develops when bacteria alter their response(s) to the use of this antimicrobial drug [2]. Recently, a steady increase in the prevalence of CIP-resistant Escherichia coli has been reported worldwide [3, 4]. Along with the recent increase in fluoroquinolone resistance, the prevalence of plasmid-mediated quinolone resistance (PMQR) genes has also been increasing in various Enterobacteriaceae worldwide [5]. Although PMQR determinants confer a low level of quinolone resistance on their own, they also facilitate the acquisition of high-level resistance and resistant mutations among susceptible strains [6].

In Korea, the presence of PMQR genes in E. coli isolates from broiler poultry or chicken meat has been reported; however, little is known about PMQR genes in E. coli from commercial layer farms, which play an important role in the supply of dietary protein through the production of eggs [7]. Unlike broiler chickens, commercial layer hens are raised in the cage system past 70 weeks of age [8]. Their eggs can be contaminated by penetration through the eggshell from the colonized gut, or from contaminated feces during or after oviposition, and by infections originating from the reproductive organs [9, 10]. Especially, contaminated eggs are a common cause of food poisoning in humans and can cause serious illnesses like Salmonella infection [11]. In this study, we surveyed genetically characterized CIP-resistant E. coli isolates from commercial layer farms in Korea.

Forty-five E. coli isolates demonstrating CIP resistance were selected from among 320 E. coli samples collected from feces (from chickens 20 weeks of age) and dust in 16 commercial layer farms (62 flocks) during the period between 2015 and 2017. Using the diffusion test, all CIP-resistant E. coli isolates were investigated for antimicrobial resistance using drugs from 9 classes applied to 18 antimicrobial discs (BD Biosciences, Sparks, MD, USA). MIC ranging from 0.06 to 512 mg/L to NAL, CIP, and enrofloxacin (ENR) were determined using standard agar dilution methods according to recommendations of the Clinical & Laboratory Standards Institute [12]. Multidrug-resistance (MDR) was defined as acquired non-susceptibility to at least 1 agent in 3 or more antimicrobial categories [13].

Polymerase chain reaction amplification of the PMQR markers qnrA, qnrB, qnrC, qnrD, qnrS, and aac(6’)-Ib-cr, and b-lactamase genes blaCTX-M, blaTEM, blaSHV, and blaOXA, was performed as previously described [14-16]. The transfer of PMQR genes and b-lactamase genes was performed by conjugation experiments using the broth mating method with sodium azide-resistant E. coli J53 as a recipient [17]. Transconjugants were selected on MacConkey agar (BD Biosciences) plates with sodium azide (100 μg/ml; Sigma-Aldrich, USA) and ampicillin or tetracycline (100 μg/ml; Sigma-Aldrich). To identify mutations in the quinolone-resistance determining region, PCR was performed as specified by Rodríguez-Martínez et al. (2006) and Vasilaki et al. (2008), respectively [18, 19].

Among the 45 CIP-resistant E. coli isolates from commercial layer farms, all isolates showed MDR against 3 to 9 classes of antimicrobial agents (Table 1). The resistance rate against 6 and 7 classes was 20.0% and 31.1%, respectively. Although 100% of the isolates showed resistance to quinolones, > 70% of the isolates showed resistance to penicillins, tetracyclines, and aminoglycosides. However, only 6.7% of isolates showed resistance to β-lactam/β-lactamase inhibitor combinations. The distributions of the 8 PMQR-positive E. coli among the 45 CIP resistant-E. coli isolates are shown in Table 2. Two qnr genes (qnrS1 and qnrB4) were identified in 5 and 1 E. coli isolate(s), respectively, while aac(6’)-Ib-cr genes were detected in 2 E. coli isolates. Among the 8 PMQR-positive E. coli isolates, 2 b-lactamase genes (blaCTX-M-15 and blaTEM-1) were identified in 2 and 3 E. coli isolates, respectively. In the conjugation test, 5 transconjugants demonstrated transferability of PMQR genes and b-lactamase genes and similar antimicrobial resistance (Table 2).

Table 1.

Distribution of multidrug-resistance patterns among 45 ciprofloxacin-resistant E. coli isolates from commercial layer.

Antimicrobial resistance class patterna Frequency Prevalence (%)
Nine of classes 2 4.4
AMGs, BL/BLICs, CEPs, FPIs, FQs, PCNs, PHs, Qs, TETs 2 4.4
Eight of classes 4 8.9
AMGs, CEPs, FPIs, FQs, PCNs, PHs, Qs, TETs 4 8.9
Seven of classes 14 31.1
AMGs, CEPs, FPIs, FQs, PCNs, Qs, TETs 5 11.1
AMGs, FPIs, FQs, PCNs, PHs, Qs, TETs 4 8.9
AMGs, CEPs, FPIs, FQs, PCNs, Qs, TETs 2 4.4
AMGs, CEPs, FQs, PCNs, PHs, Qs, TETs 1 2.2
AMGs, CEPs, PCNs, PHs, Qs, FPIs 1 2.2
CEPs, FPIs, FQs, PCNs, PHs, Qs, TETs 1 2.2
Six of classes 9 20.0
AMGs, CEPs, FQs, PCNs, Qs, TETs 6 13.3
AMGs, FQs, PCNs, PHs, Qs, TETs 2 4.4
AMGs, FPIs, FQs, PCNs, Qs, TETs 1 2.2
Five of classes 7 15.6
AMGs, FQs, PCNs, Qs, TETs 4 8.9
CEPs, FPIs, FQs, PCNs, Qs 1 2.2
CEPs, FPIs, FQs, Qs, TETs 1 2.2
CEPs, FQs, PHs, Qs, TETs 1 2.2
Four of classes 3 6.7
BL/BLICs, CEPs, FQs, Qs 1 2.2
CEPs, FQs, Qs, TETs 1 2.2
FPIs, FQs, PCNs, Qs 1 2.2
Three of classes 6 13.3
CEPs, FQs, Qs 6 13.3
Total 45 100.0
a

AMGs, aminoglycosides; BL/BLICs, β-lactam/β-lactamase inhibitor combinations; CEPs, cephems; F pathway inhibitors; FQs, fluoroquinolones; PCNs, penicillins; PHs, phenicols; Qs, quionolones; TETs, tetracyclines.

Table 2.

Characteristics of the 8 plasmid-mediated quinolone resistance-positive E. coli isolates from commercial layer.

Isolate Farm PMQR genesa β-lactamase genes Antimicrobial resistance patternb MICs (µg/mL)c QRDR mutationsd


NA ENR CIP gyrA parC
Donor
Gi-CC-4 Farm 3 qnrS1 CTX-M-15 AM, CZ, CF, CXM, CTX, CAZ, TE, SXT, G, C ≥512 64 16 S83L, D87N S80I
Gi-CC-5 Farm 3 qnrS1 CTX-M-15 AM, AMC, CZ, CF, CXM, CTX, CAZ, TE, SXT, G, C ≥512 128 32 S83L, D87N S80I
Gi-CC-7 Farm 3 qnrS1 - AM, TE, G ≥512 8 4 WT S80I
Gi-CC-27 Farm 4 aac(6’)-Ib-cr TEM-1 AM, CTX, TE, SXT, G ≥512 32 16 S83L, D87N S80I
Gi-CC-28 Farm 4 aac(6’)-Ib-cr TEM-1 AM, CZ, CF, TE, SXT, G ≥512 64 16 S83L, D87N S80I
Gi-CC-35 Farm 5 qnrB4 - AM, TE, SXT, G, C ≥512 32 32 S83L, D87N S80I
Gi-CC-36 Farm 5 qnrS1 - AM, CZ, CF, TE, SXT, G ≥512 16 16 D87N S80I
Gi-CC-37 Farm 5 qnrS1 TEM-1 AM, CZ, FOX, TE, G ≥512 32 32 S83L, D87N S80I
Recipient
E. coli J53 NT NT NT 4 0.06 0.06 NT NT
Transconjugants
Gi-CC-4-T qnrS1 CTX-M-15 AM, CZ, CXM, CTX, CAZ, TE, SXT, G, C 4 0.125 0.25 NT NT
Gi-CC-5-T qnrS1 CTX-M-15 AMC, CZ, CF, CTX, CAZ, TE, SXT, G, C 8 0.25 0.125 NT NT
Gi-CC-28-T aac(6’)-Ib-cr - AM, CZ, CF, TE, SXT 16 0.06 0.25 NT NT
Gi-CC-35-T qnrB4 - AM, TE, C 8 0.125 0.06 NT NT
Gi-CC-37-T qnrS1 TEM-1 AM, CZ, FOX, G 4 0.125 0.25 NT NT
a

PMQR, plasmid-mediated quinolone resistance; NT, not tested

b

AM, ampicillin; AMC, amoxicillin-clavulanic acid; CZ, cefazolin; CF, cephalothin; FOX, cefoxitin; CXM, cefuroxime; CAZ, ceftazidime; CTX, cefotaxime; C, chloramphenicol; G, gentamicin; SXT, sulfamethoxazole/trimethoprim; TE, tetracycline

c

MICs, minimum inhibitory concentrations; NA, nalidixic acid; ENR, enrofloxacin; CIP, ciprofloxacin

d

QRDR, quinolone-resistance determining region; WT, wild type

Seven PMQR-positive isolates exhibited double amino acid exchange at both gyrA and parC, and MICs ≥ 16 mg/l of CIP and ENR were observed against these isolates. Furthermore, one PMQR-positive isolate exhibited a single amino acid exchange at parC, and MIC ≥ 4 mg/l and ≥ 8 mg/l of CIP and ENR were observed against this isolate, respectively (Table 2).

In this study, 100% of CIP-resistant E. coli isolates showed MDR against 3 to 9 classes of antimicrobial agents. In a previous study, Wasyl et al. (2013) reported that 31.0% of MDR E. coli was identified from commercial layer farms in the European Union [3]. The difference in MDR between the commercial layer farms in Korea and those of other countries may also be associated with the use of antibiotics in each country. Aalipour et al. (2014) reported that antibiotic consumption (per 1 kg of animal products) in the European Union and United States is 21 and 94 mg/kg/year, respectively, while that in Korea has been reported to be 285.7 mg/kg/year [20]. Especially, in Korea, the mass medication of poultry with fluoroquinolones is still permitted, and the sale volume of enrofloxacin is the highest among all antimicrobials used to treat poultry [21]. In addition, the Korea Animal and Plant Quarantine Agency reported that E. coli with resistance to CIP in poultry has increased from 37.0% in 2007 to 80.0% in 2015 [22].

Many studies have reported that the prevalence of PMQR genes varies from 2.2% to 57.0% globally, depending on the resistance mechanisms of the animal [23, 24]. In this study, the qnrB4, qnrS1, and aac(6’)-Ib genes were identified in 2.2% (1/45), 11.1% (5/45), and 2.2% (1/45) of CIP resistant-E. coli isolates, respectively, from a commercial layer farm. The frequency of qnrS1 and aac(6’)-Ib was significantly higher than that in other animal studies [qnrS1 (2.2%) and aac(6’)-Ib (1.1%)] in Korea, although the frequency of qnrB4 (0.5%) was low [25]. To establish the association between mutation and the presence of these PMQR determinants, gyrA and parC were sequenced in PMQR-positive isolates. Among 8 PMQR-positive E. coli isolates, 7 exhibited a double amino acid exchange in both gyrA and parC, and MICs ≥ 16 mg/l of CIP and ENR were observed against these isolates. In this study, the transconjugants expressed similar antimicrobial resistance patterns and revealed the presence of PMQR genes (qnrS1, qnrB4, and aac(6’)-Ib-cr) and b-lactamase genes (blaCTX-M-15 and blaTEM-1). This result is also consistent in that these transconjugants have similar antimicrobial resistance patterns and the same antimicrobial resistance genes of the donor strains in the previous study [26]. Therefore, this result suggests wide dissemination of PMQR and b-lactamase genes through plasmids via horizontal transfer, and that poultry can contribute to the transmission of these genes to humans.

To our knowledge, this study was the first to investigate the molecular characteristics of CIP-resistant E. coli isolates from a commercial layer farm in Korea. We demonstrated that PMQR genes have a relatively high prevalence (17.8%) in CIP-resistant E. coli isolates with related susceptibility to fluoroquinolones, revealing that qnrS, qnrB, and aac(6’)-Ib are the most prevalent PMQR genes in E. coli isolates from a commercial layer farm. Additionally, our findings suggest that there is a need to emphasize and enforce rational use of antimicrobials, and that regular antimicrobial susceptibility surveillance is essential in commercial layer chicken farming.

Acknowledgments

This work was supported by the Korea Institute of Planning and Evaluation for Technology in Food, Agriculture, Forestry and Fisheries (IPET) through the Agriculture, Food and Rural Affairs Research Center Support Program, funded by the Ministry of Agriculture, Food and Rural Affairs (MAFRA) (716002-7).

Footnotes

Conflict of Interest

The authors have no financial conflicts of interest to declare.

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