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The prevalence and mechanism of fluoroquinolone resistance in Escherichia coli isolated from swine farms in China

BMC Veterinary Research volume 16, Article number: 258 (2020) Cite this article

Abstract

Background

It has been demonstrated that swine waste is an important reservoir for resistant genes. Moreover, the bacteria carrying resistant genes and originating from swine feces and wastewater could spread to the external environment. Fluoroquinolones (FQs) are widely used in livestock and poultry for the treatment of bacterial infection. However, resistance to FQs has increased markedly.

Results

In this study, swine feces and wastewater were sampled from 21 swine farms of seven provinces in China to investigate the prevalence of FQ resistance, including plasmid-mediated fluoroquinolone resistance (PMQR) genes and the occurrence of target mutations. All isolates showed moderate rate of resistance to norfloxacin (43.0%), ciprofloxacin (47.6%), ofloxacin (47.0%) and levofloxacin (38.8%). The percentage of strains resistant to the four FQs antimicrobials was positively correlated with the danofloxacin (DANO) MIC. Among the 74 FQ-resistant isolates, 39 (52.70%) had mutations in gyrA (S83L and D87 to N, Y, G, or H), 21 (28.38%) had mutations in parC (S80I and E84K), 2 (2.70%) had mutations in parE (I355T and L416F), 26 (35.14%) had mutations in marR (D67N and G103S), 1 (1.35%) had mutations in acrR (V29G). While, no mutation was found in gyrB. There were 7 (9.46%) strains carried the qnrS gene, 29 (39.19%) strains carried the oqxAB gene, and 9 (12.16%) strains carried the aac (6′)-Ib-cr gene. In addition, the conjugation assays showed that qnrS, oqxAB and aac (6′)-Ib-cr could be successfully transferred to E. coli J53 from 4 (57.1%), 20 (69.0%) and 5 (55.6%) donor strains, respectively. There were no qnrA, qnrB, qnrC, qnrD and qepA genes detected.

Conclusion

The present study showed that DANO-resistant E. coli strains isolated from swine farms had significant cross-resistance to other four FQs antimicrobials. Further study revealed that the resistance mechanisms of swine-derived E. coli to FQs may be attributable to the occurrence of chromosomal mutations (gyrA, parC, parE, marR and acrR genes double-site or single-site mutation) and the presence of PMQR genes (qnrS, oqxAB and aac (6′)-Ib-cr). To the best of our knowledge, one novel mutation marR-D67N was found to be associated with FQ resistance, two mutations parE-L416F and acrR-V29G have never been reported in China.

Background

Antimicrobial resistance has posed an imminent threat to global health, which threatens our ability to treat common infections caused by bacterial organisms [1]. Due to the restricted choice of antimicrobials as well as the dearth of novel classes of antimicrobials emergence, the infections caused by multidrug-resistant bacteria (MRB) are often accompanied by high morbidity and mortality [2]. It is now generally accepted that the emergence and prevalence of MRB is associated with the widespread, unreasonable, and increasing use of antimicrobials. This could raise a potential risk for the selection of bacteria to become resistant and promote the dissemination of antimicrobial-resistant bacteria (ARB) and resistance genes [3].

Animals are regarded as an important reservoir of resistance genes or ARB which could cause bacterial infection in humans [4]. It has been demonstrated that the possibility for transfer of ARB between animals and humans through environment, food chains and direct contact. Therefore, the emergence of ARB originated from animals have become a growing area of concern. As a common member and the most prevalent enteric bacteria in the intestinal tract of animals and humans, E. coli can also be associated with animal and human infectious diseases due to their zoonotic potential [5, 6]. Hence, the level of resistance in commensal E. coli is regarded as a good indicator for potential selection pressure exerted by regular use of antimicrobials and for investigation of resistance problems in pathogenic bacteria [3, 7].

As a series of synthetic and broad-spectrum antimicrobial agents, FQs possess the bactericidal activity, which can prevent the bacterial cell growth by inhibiting the activities of DNA gyrase and DNA topoisomerase IV, interfering with DNA replication, recombination and repair. Moreover, with the advantages of high bioavailability and low incidence of adverse effects, FQs are widely used in the treatment of a variety of bacterial infections and parasitic diseases [8, 9]. The purpose of promoting the economic benefits by limiting the mortality of animals, improving feed efficiency and stimulating the uniformity between animals has resulted in the increase use of FQs antimicrobials in farms with the inevitable risk of emerging resistance [10].

FQ resistance in enterobacteriaceae was commonly thought to be chromosome-mediated through mutations in the genes encoding DNA gyrase (gyrA and gyrB), topoisomerase IV (parC and parE) and the operons of endogenous transmembrane efflux pump AcrAB-TolC (marR and acrR), until the PMQR was found in 1998 [11, 12]. The mutations in gyrA, gyrB, parC and parE associated with FQ resistance are often located in a region known as the fluoroquinolone resistance determining region (QRDR), which can decrease the affinity of the mutant enzyme-DNA complex to FQs antimicrobials [13]. The mutations in marR and acrR can accelerate the efflux of FQs antimicrobials from the bacterial cytoplasm by increasing the expression of AcrAB-TolC [11]. As alternative mediators of FQ resistance, PMQR was first reported in Klebsiella pneumoniae [12]. Importantly, five major groups of Qnr determinants (QnrA, QnrB, QnrC, QnrD, and QnrS) that encode DNA gyrase protection proteins were identified, which were regarded to have the potential to reduce the susceptibility to FQs and lead to resistance. Efflux pumps (oqxAB and qepA) and a variant of aminoglycoside-modifying enzyme aac (6′)-Ib-cr were proven to be two additional PMQR determinants in previous study [14, 15].

The aims of this study were to examine the susceptibility of E. coli strains isolated from several swine farms in China to norfloxacin, ciprofloxacin, ofloxacin and levofloxacin, to analyze the correlation between the susceptibility of the strains to the four FQs antimicrobials and the resistance to DANO, to investigate the prevalence of PMQR genes (qnrA, qnrB, qnrS, qepA, oqxAB, qnrC, qnrD and aac (6′)-Ib-cr) and the occurrence of chromosomal mutations in gyrA, gyrB, parC, paE, marR and acrR among the FQ-resistant E. coli strains.

Results

From July 2014 to March 2017, a total of 1222 E. coli were recovered from swine feces (1000) and wastewater (222). Isolates were collected from Heilongjiang (n = 404), Jilin (n = 263), Liaoning (n = 227), Henan (n = 249), Shandong (n = 30), Hubei (n = 20), and Yunnan (n = 29) provinces of China. In this study, a total of 479 E. coli isolates were selected for further study, which cover the MIC distribution range (0.0075- > 128 μg/mL) of DANO. (as shown in Table S1).

Comparisons of antimicrobial resistance in isolates

The results of the antimicrobial susceptibility testing were shown in Table 1, all isolates showed moderate rate of resistance to norfloxacin (43.0%), ciprofloxacin (47.6%), ofloxacin (47.0%) and levofloxacin (38.8%). As shown in Fig. 1, the percentage of strains resistant to ciprofloxacin (r = 0.8775, P < 0.0001), ofloxacin (r = 0.8930, P < 0.0001), levofloxacin (r = 0.8613, P < 0.0001) and norfloxacin (r = 0.8323, P < 0.0001) was positively correlated with the degree of resistance to DANO.

Table 1 Prevalence of resistance to FQs antimicrobials in swine-derived E. coli isolates of different DANO MICs
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Fig. 1
figure1

Correlation between the resistance rate of E. coli to four FQs antimicrobials and DANO MICs

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A total of 74 E. coli strains resistant to the four FQs antimicrobials were selected for further study to determine the prevalence of PMQR genes and the occurrence of target mutations in QRDR.

Detection of Fluoroquinolone resistance-associated mutations

As shown in Tables 2 and 3, among the 74 E. coli isolates, no mutations were found in gyrB. Alterations in the gyrA gene were detected in 39 (52.7%) of the 74 E. coli isolates. There were five types of mutations observed in the FQ resistance determining region (QRDR) of gyrA: 32 (82.1% of the 39 gyrA mutated isolates) isolates had S83L and D87N, 2 (5.1%) had S83L and D87Y, 1 (2.6%) had S83L and D87H, 1 (2.6%) had S83L and D87G, as well as 3 (7.7%) had S83L. Twenty-one strains (28.4%) carried mutations in the QRDR of parC: 18 strains (85.7%) had S80I, 2 (9.5%) had S83L and E84K and 1 (4.8%) had E84K. Twenty-six strains (35.1%) carried mutations in marR: 25 strains (96.2%) had G103S and 1 (3.8%) had D67N and G103S. Two strains (2.7%) carried double parE mutations as: I355T and L416F. One strain carried mutation in acrR, the mutation was V29G. The original dataset was provided in Table S2, and the Gel electrophoresis of the positive PCR product was provided in Figure S1.

Table 2 The Sorting Intolerant From Tolerant (SIFT) scores of different mutations
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Table 3 Putative FQ resistance mutations and mutation rate
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Prevalence of plasmid-mediated Fluoroquinolone-resistance genes

As shown in Fig. 2, among the 74 E. coli isolates, oqxAB was the most prevalent PMQR genes, 29 (39.19%) strains carried the oqxAB gene. The number of isolates harbouring qnrS gene was 7 (9.46%). Four isolates (5.4%) were detected to co-harbour oqxAB, qnrS and aac (6′)-Ib-cr gene. One strains (1.4%) co-harbour qnrS and oqxAB. The number of strains co-harbour oqxAB and aac (6′)-Ib-cr was 2 (2.7%). Nine strains (12.16%) were positive for aac (6′)-Ib-cr gene. But no strains were found to be positive for qnrA, qnrB, qnrC, qnrD and qepA. The Gel electrophoresis of the PMQR genes was provided in Figure S2.

Fig. 2
figure2

The prevalence of PMQR genes among 74 FQ-resistant E. coli isolates

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Conjugative transfer of PMQR genes from swine farms

Conjugation experiments were carried out in this study to assess the transferability and the dissemination risk of PMQR genes in swine farm. The results of conjugation assays showed that qnrS, oqxAB and aac (6′)-Ib-cr could be successfully transferred to E. coli J53 from 4 (57.1%), 20 (69.0%) and 5 (55.6%) donor strains, respectively, at frequencies of 3.5 × 10− 8 to 4.7 × 10− 5, 2.1 × 10− 9 to 5.3 × 10− 6 and 1.8 × 10− 8 to 5.8 × 10− 4 transconjugants/recipient, respectively. The transconjugants were also FQ-resistant, but they showed low-level resistance to FQs antimicrobials as compared with donor strains.

Discussion

The frequencies of resistance to FQs among E. coli strains isolated from humans and animals have been reported to be rising year by year in China, which might partly be attributable to the unreasonable and increasing use of this class of antimicrobial in food-producing animals [16, 17]. In the present study, the results of susceptibility test revealed that the 479 E. coli isolates collected from several swine farms in China and covering the MIC distribution range (0.0075- > 128 μg/mL) of DANO showed moderate rate of resistance to other four FQs antimicrobials (ciprofloxacin, ofloxacin, levofloxacin and norfloxacin). Further analysis showed that the percentage of strains resistant to the four FQs antimicrobials was positively correlated with the degree of resistance to DANO. In fact, ofloxacin and norfloxacin are not approved for veterinary uses, which are used in humans to prevent bacterial infection. But ciprofloxacin, norfloxacin and DANO have been used widely in veterinary medicine in China [18, 19]. It is well known that the indiscriminate use of FQs antimicrobials in humans and animals could raise a potential risk for the selection and acceleration the emergence of FQ resistance [4]. A previous report revealed very high rate of ciprofloxacin (75.2%), enrofloxacin (81.0%) and levofloxacin (70.5%) resistance in the E. coli isolated from diseased food-producing animals in Guangdong province, China [20]. The higher resistant rate could be due to the different origin of E. coli strains compared with this study.

The rapid development of FQ resistance is commonly acknowledged to be due to the widespread dissemination of PMQR determinants. Though PMQR determinants usually result in low-level resistance to FQs antimicrobials, the presence of PMQR determinants can promote and accelerate the occurrence of target mutations on the chromosome which mediate high-level resistance [21]. Some surveys have reported a high prevalence of PMQR determinants and occurrence of mutations in the QRDR among E. coli and Salmonella strains isolated from humans and food-producing animals in China [22, 23]. In this study, a high prevalence (60.8%) of PMQR determinants (qnrS, oqxAB and aac (6′)-Ib-cr) was found in the 74 FQ-resistant E. coli, and the most prevalent PMQR gene was oqxAB (39.19%), which were in line with the finding of a previous study [24]. In the present study, the aac (6′)-Ib-cr gene (12.16%) was also a prevalent PMQR gene, similarly to the result of a study from China in which oqxAB was not analyzed [25]. The qnrS (9.46%) was predominantly present among the qnr-type genes in this study, which was consistent with previous study [22, 25]. Our results supported previous findings that the prevalence of aac (6′)-Ib-cr was higher than that of qnr [26]. There were no qnrA, qnrB, qnrC, qnrD and qepA genes detected in this study.

The mutation frequency (95.9%) of the 74 FQ-resistant E .coli in this study was higher than that found in 14 qnr-positive E. coli strains isolated from farm animals (35.7%) [22, 27]. Similar to our findings, it was reported that 39 nalidixic acid-resistant E. coli strains isolated from diseased farm animals had a high mutation frequency (100%) [16, 28]. The different criteria used for isolates selection may be responsible for the differences among these studies. In this study, a total of 39 (52.7%) strains carried mutations in gyrA, including S83L and D87 to N or Y. These mutations at positions 83 and 87 have previously been detected in FQ-resistant E. coli strains [20]. Among the isolates with mutations, the most frequent mutations were at codons 83 and 87 in gyrA in the QRDR, and the most common type of amino acid substitution were S83L and D87N in gyrA, the results were consistent with previous study [29, 30]. It has been demonstrated that double-mutant (S83L and D87N) enzyme-DNA complexes had a lower affinity for FQs antimicrobials than wild-type complexes [13].

Though there were no mutations in gyrB among 74 FQ-resistant E. coli strains, we could not ignore the possibility of gyrB mutations in E. coli strains resistant to FQs, but previous study have also reported their absence [31]. Two different mutations were found in parC, including 24 (32.4%) strains carried mutations altering amino acid S80I and 3 (4.1%) strains carried E84K. The two mutations have been previously demonstrated to be associated with FQ resistance in E. coli [20]. Four strains had mutations in parE (I355T and L416F) which have been detected in FQ-resistant E. coli isolated from swine fecal samples in Korea [32]. Only two parE mutations, L445H and L416F have been proven to be associated with FQ resistance in E. coli [14, 33]. To the best of our knowledge, L416F mutation has never been reported in China.

It has been demonstrated that the mutations in the repressor proteins marR and acrR can result in FQ-resistance by promoting the expression of the AcrAB-TolC efflux pump [11]. In the present study, a total of 26 strains with mutations in marR, 25 strains of those carried single mutation (G103S) and 1 strain of those carried two mutations (D67N and G103S). It has been reported that no significant association was found between the mutation marR-G103S and any level of FQ resistance [14]. The mutations in the region of marR (D76G, L78M, and V79I) have been reported to result in FQ resistance [11]. The possible role of novel mutation marR-D67N in FQ-resistant isolate requires further study to reveal. Only one strain carried mutation acrR-V29G which was also detected among highly levofloxacin-resistant E. coli isolates in previous study. The possible roles of acrR-V29G in FQ resistance may contribute to increased fitness rather than increased levels of resistance [14]. Moreover, some studies have reported that the coexistence of acrR gene mutations and other known chromosomal mutations in clinical strains of E. coli can lead to high-level FQ resistance [34].

Conclusion

In summary, DANO-resistant E. coli strains isolated from swine farms had significant cross-resistance to other four FQs antimicrobials, and the percentage of strains resistant to other FQs antimicrobials was positively correlated with the degree of resistance to DANO. Furthermore, the resistance mechanisms of swine-derived E. coli to FQs may be attributable to the occurrence of chromosomal mutations (gyrA, parC, parE, marR and acrR genes double-site or single-site mutation) and the presence of PMQR determinants (qnrS, oqxAB and aac (6′)-Ib-cr). To the best of our knowledge, one novel mutation marR-D67N was found to be associated with FQ resistance, and two mutations parE-L416F and acrR-V29G have never been reported in China.

Methods

Sampling and bacterial isolates

From July, 2014 to March, 2017, a total of 300 piggery wastewater samples were collected from 21 swine farms located in different geographic areas of China, including Heilongjiang, Jilin, Liaoning, Henan, Hubei, Shandong and Yunnan province (Table 1). The samples brought to the laboratory were immediately cultured on MacConkey agar at 37 °C for 18–24 h, and then five colonies with typical E. coli morphology were selected from each sample. The bacterial strains were identified using classing biochemical methods and confirmed as E. coli by PCR amplification of 16S rRNA and sequencing. In addition, a total of 1000 E. coli strains were selected from our previous study. All confirmed E. coli isolates were stored at − 80 °C for further studies.

Antimicrobial susceptibility testing

For all isolated E. coli, the microdilution broth method in accordance with the guidelines in Clinical and Laboratory Standards Institute (CLSI) document M07-A9 was performed to determine the MICs of DANO. Moreover, the results were interpreted according the breakpoint which was established in the previous study [5]. The antimicrobial susceptibilities of E. coli to ciprofloxacin, ofloxacin, levofloxacin and norfloxacin were determined by disk diffusion method described by European Committee on Antimicrobial Susceptibility Testing (EUCAST). The interpretation of the result was according to EUCAST criteria.

Screening for Fluoroquinolone resistance-associated mutations

DNA templates of the FQ-resistant E. coli isolates were obtained with the Kit (Tiangen) following the manufacturer’s instructions. Screening for mutations accounting for FQ resistance including gyrA, gyrB, parC, paE, marR and acrR was carried out by PCR amplification and DNA sequencing. The oligonucleotide primers used, together with details of the specific regions sequenced in each gene were the same as previously described [11]. The amplification products were visualized by agarose gel electrophoresis and ethidium bromide staining to assess the sizes of the gene fragments, and then the positive products were validated with Sanger sequencing. The obtained sequences were analyzed with the Chromas and the amino acid sequences of gyrA, gyrB, parC, paE, marR and acrR were compared with wild-type E. coli K-12 to determine the amino acid changes. Besides, the Sorting Intolerant From Tolerant (SIFT) scores (http://sift.jcvi.org) were calculated by online software to determine whether amino acid changes in gyrA, gyrB, parC, paE, marR and acrR affect protein function. (neutral or deleterious).

Screening for plasmid-mediated Fluoroquinolone-resistance determinants

Plasmid DNA of the resistant E. coli isolates was obtained with plasmid extraction kit following the manufacturer’s instructions. Multiplex PCR was performed for the detection of PMQR genes, including qnrA, qnrB, qnrS, qepA, oqxAB, qnrC, qnrD and aac (6′)-Ib-cr. The oligonucleotide primers and the details of PCR amplification were used as previously described [35].

Conjugative transfer of PMQR genes

For assessing the transferability of the PMQR genes in swine farms, conjugation experiment was performed according to method described by Ghosh and Mukherjee [36]. The strains of qnrS-positive E. coli, oqxAB-positive E. coli, and a aac (6′)-Ib-cr-positive E. coli isolates were used as the donors of PMQR genes in conjugation experiments, and E. coli J53 strains with azide resistance was used as recipient. The MacConkey agar plates containing sodium azide (100 μg/L) and ciprofloxacin (5 μg/mL) were used to select PMQR genes positive transconjugants. PCR analysis and DNA sequencing were carried out to confirm that transconjugants were derivatives of the recipient strain E. coli J53. The transfer frequencies of qnrS, oqxAB and aac (6′)-Ib-cr genes were determined as described in a previous study [37].

Statistical analysis

Descriptive analyses on percentage and prevalence were performed using functions provided in Excel 2007 (Microsoft Software). To determine the correlation of the resistance rate of E. coli to four FQs antimicrobials with the DANO MIC values, Pearson correlation and linear regression analysis were performed by using GraphPad Prism 6 for windows. P-value less than 0.05 was considered statistically significant.

Availability of data and materials

The datasets used and analyzed in this study are available from the corresponding author on reasonable request.

Abbreviations

FQs:

Fluoroquinolones

ARB:

Antimicrobial-resistant bacteria

PMQR:

Plasmid-mediated quinolone resistance

E. coli :

Escherichia coli

DANO:

Danofloxacin

QRDR:

Fluoroquinolone resistance determining region

CLSI:

Clinical and Laboratory Standards Institute

EUCAST:

European Committee on Antimicrobial Susceptibility Testing

SIFT:

Sorting Intolerant From Tolerant

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Acknowledgements

We would like to thank the 21 swine farms located in different geographic areas of China, including Heilongjiang, Jilin, Liaoning, Henan, Hubei, Shandong and Yunnan province for giving permission and help during collecting fecal samples.

Funding

This work was supported by the National Science and Technology Project and the National 13th Five-Year Key R&D Program Special Project under Grant: 2018YFD0500306 and 2016YFD0501302. The funders had no role in the design of the study and collection, analysis and interpretation of data and in writing the manuscript.

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Author notes

  1. Ping Cheng and Yuqi Yang contributed equally to this work.

Affiliations

  1. Heilongjiang Key Laboratory for Animal Disease Control and Pharmaceutical Development. Faculty of Basic Veterinary Science, College of Veterinary Medicine, Northeast Agricultural University, 600 Changjiang Road, Xiangfang District, Harbin, Heilongjiang, 150030, P.R. China

    Ping Cheng, Fulei Li, Xiaoting Li, Haibin Liu, Saqib Ali Fazilani & Xiuying Zhang

  2. Pharmacology Teaching and Research Department, School of Basic Medicine, Guizhou University of Traditional Chinese Medicine, Dongqing Road, University Town, Huaxi District, Guiyang, P.R. China

    Yuqi Yang

  3. Heilongjiang Technical Identification Station of Agricultural products and Veterinary Medicine Feed, Harbin, China

    Wenxin Guo

  4. Inflammation & Allergic Diseases Research Unit, Affiliated Hospital of Southwest Medical University, Luzhou, 646000, Sichuan, China

    Guofeng Xu

Authors
  1. Ping Cheng
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  2. Yuqi Yang
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  3. Fulei Li
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  4. Xiaoting Li
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  7. Wenxin Guo
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  8. Guofeng Xu
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  9. Xiuying Zhang
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Contributions

XZ is the corresponding author who conceived and designed the experiments; PC designed the experiments, completed the experiments and draft the manuscript; YY contributed to the conception and design of the experiments; FL and HL collected the samples and performed bacteria isolation; XL, WG and GX performed the analysis and interpretation of the data; SAF modified the language of the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Xiuying Zhang.

Ethics declarations

Ethics approval and consent to participate

All experimental work was performed in accordance with the animal ethics guidelines approved by the animal care and ethics committee of Northeast Agricultural University (Heilongjiang Province PR China). Prior to the collection of fecal samples, individual written informed consent for the use of samples was obtained from all owners.

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Not applicable.

Competing interests

The authors declare no competing financial interest.

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Supplementary information

Additional file 1: Table S1.

The area distribution of collected swine E. coli isolates. Table S2. Putative FQ resistance mutations and the prevalence of PMQR genes in swine-derived E. coli.Figure S1. Gel electrophoresis of the FQ-resistance associated gene on the chromosome in swine-derived E. coli.Figure S2. Gel electrophoresis of the PMQR genes in swine-derived E. coli.

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Cheng, P., Yang, Y., Li, F. et al. The prevalence and mechanism of fluoroquinolone resistance in Escherichia coli isolated from swine farms in China. BMC Vet Res 16, 258 (2020). https://doi.org/10.1186/s12917-020-02483-4

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Keywords

  • Fluoroquinolone resistance
  • Escherichia coli
  • Swine
  • PMQR
  • Target mutations

BMC Veterinary Research

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