Molecular and Phenotypic Characteristics of<i> Escherichia coli</i> Isolates from Farmed Minks in Zhucheng, China

Qiu, Jianhua; Jiang, Zhiyu; Ju, Zijing; Zhao, Xiaonan; Yang, Jie; Guo, Huijun; Sun, Shuhong

doi:https://doi.org/10.1155/2019/3917841

BioMed Research International

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Abstract Introduction Materials and Methods Results Discussion Conclusions Data Availability Conflicts of Interest Authors’ Contributions Acknowledgments References Copyright Related Articles

Research Article | Open Access

Volume 2019 | Article ID 3917841 | https://doi.org/10.1155/2019/3917841

Molecular and Phenotypic Characteristics of Escherichia coli Isolates from Farmed Minks in Zhucheng, China

Jianhua Qiu,¹Zhiyu Jiang,¹Zijing Ju,¹Xiaonan Zhao,¹Jie Yang,¹Huijun Guo,¹and Shuhong Sun¹

Academic Editor: Wen-Jun Li

Received14 Dec 2018

Revised17 Apr 2019

Accepted28 May 2019

Published27 Jun 2019

Abstract

In this study, the prevalence, phenotypes, and clonal relationships of Escherichia coli (E. coli) strains isolated from minks were investigated. In July 2017, a total of 62 fresh faecal swab samples were randomly collected from one large-scale mink farm in Zhucheng, Shandong Province, China. In all the samples, 50 E. coli strains were isolated and then assigned to serotyping, antimicrobial susceptibility test, detection of antimicrobial resistance genes and the Class 1 integrons, and multilocus sequence typing (MLST). Four pathogenic serotypes were identified among all the isolates, while the most common serotype was enterohemorrhagic E. coli O104:H4 (6.0 %). Antimicrobial sensitivity testing revealed that most isolates were susceptible to cefoxitin (96.0 %) and amikacin (82.0 %), while most isolates were resistant to ampicillin (92.0 %) and tetracycline (90.0 %). An analysis of the nucleotide sequences revealed that 7 isolates (14.0%) carried 4 types of Class 1 integron cassette, including dfrA27+aadA2+qnrA (57.1%), dfrA17+aadA5 (14.3%), dfrA12+aadA2 (14.3%), and dfrA1+aadA1 (14.3%). PCR screening showed that 14 antibiotic resistance genes were presented in 50 isolates, while the most prevalent resistance gene was qnrS, which was detected in 60.0 % of isolates, followed by sul2 (40.0%) and oqxA (38.0%). MLST analysis showed that 32 sequence types (STs) were identified, while ST46 was the predominant genotype among all isolates. Clonal complex 3 (CC3) was dominant. Compared with 340 human E. coli STs reported in China, the ST10 clonal complex, known as the largest human clonal complex, was also found in the 50 mink E. coli isolates. Meanwhile, mink-derived strain ST206 formed a new clonal complex, CC206, which was different from human ST strains. Our results showed that farmed minks could be reservoirs of antimicrobial-resistant E. coli with Class 1 integron cassettes and resistance genes, which were likely to pose a threat to public health. Therefore, continuous inspections and monitoring of E. coli in minks are essential for detecting and controlling emerging E. coli with different serovars as well as antibiotic resistance.

1. Introduction

Since the advent of antibiotics, it had made great contributions to both human and animal health. Antibiotics that can kill or inhibit the growth of microorganisms have been used to treat a wide range of infectious diseases caused by bacteria, in livestock, poultry, wild, or fur animals (such as minks) and humans. Antibiotics play a very important role in dealing with pathogenic microorganism infections as well as in reducing morbidity and mortality [1, 2].

According to the differences in pathogenicity, E. coli can be classified into commensal E. coli and pathogenic E. coli [3]. Pathogenic E. coli may cause enteritis, urinary tract urethritis, and other diseases in warm-blooded animals [4, 5]. Some E. coli strains are potentially pathogenic, including enterotoxigenic E. coli (ETEC), enterohemorrhagic E. coli (EHEC), enteropathogenic E. coli (EPEC), enteroinvasive E. coli (EIEC), and enteroaggregative E. coli (EAEC), which may cause intestinal or urologic diseases [4, 5].

Antibiotics have long been considered as the first line of defense to prevent pathogenic E. coli infections. The treatment of pathogenic E. coli infections is becoming complicated because of the rapid emergence and dissemination of antibiotic-resistant strains, which may consequently result in an increasing number of clinical treatment failures in bacterial-mediated diseases and further threaten public health with the possibility of transmission to humans through aerosols, environmental contact or other methods [2, 6]. The level of antibiotic resistance among pathogenic and commensal E. coli has steadily increased and has become a global health concern [7, 8].

There are many resistance mechanisms underlying the emergence and prevalence of antimicrobial resistance. The acquisition of resistance genes through a mechanism involving mobile genetic elements, such as plasmids and transposons, is considered a major contributor to antimicrobial resistance [9, 10]. A previous study also demonstrated that E. coli can carry resistance plasmids and can easily acquire resistance transfer genes [9, 10]. The spread of antibiotic resistance among bacteria is mainly attributed to integrons. Integrons are DNA elements that are associated with the prevalence and horizontal transmission of antibiotic resistance [11–13]. Integrons can capture, express, and exchange gene cassettes and then convert them to functional genes [11, 14].

E. coli may cause severe morbidity and mortality in fur animals such as minks. In recent years, several types of antibiotics have been used in Shandong Province to treat bacterial diseases, resulting in repercussions for bacterial antibiotic resistance [15, 16]. To the best of our knowledge, in contrast to E. coli in humans, livestock, and poultry, there is still a lack of data about the antimicrobial resistance mechanisms of E. coli from minks in China. Therefore, in our study, 62 faecal samples were collected from mink farms in the Zhucheng area, and then E. coli strains were isolated for serotyping, antimicrobial susceptibility testing, detection of the Class 1 integron cassette, and resistance genes to provide information and guidance for the rational use of antibiotics in minks.

2. Materials and Methods

2.1. Sampling and Isolation

In July 2017, 62 faecal swabs were randomly collected from healthy minks in large-scale mink farms in the Zhucheng area in Shandong Province, China. Mink farms were chosen based on their scale with the requirement of the breeding stock being > 10000 heads. Ethical approval was not required for the study because the sampling process did not harm the minks. All the faecal samples were placed into an ice box and transferred to our laboratory within 6 h for further bacteriological analysis.

Isolation and identification of E. coli were performed according to the previously described method [17] with some slight modifications. Briefly, faecal swab samples were transferred to sterile culture tubes containing 4 mL of Luria-Bertani (LB) broth and mixed vigorously (220 r/min) at 37°C for 8 h. After enrichment, a loop of LB broth culture was streaked onto eosin-methylene blue medium (EMB) agar and incubated at 37°C for 24 h. Colonies showing a metallic sheen were considered presumptive E. coli isolates, and positive colonies were chosen for further biochemical identification using the API 20E system (Sysmex-bioMerieux, Tokyo, Japan).

2.2. Serotyping

To identify the E. coli serotype, all the positive strains were serotyped by E. coli diagnostic serum according to the manufacturer’s instructions. The diagnostic serum kit consisted of EPEC diagnostic serum, EIEC diagnostic serum, ETEC diagnostic serum and EHEC (O104 and 0157) diagnostic serum, and E. coli H4 and H7 diagnostic serum (Tianrun Bio-Pharmaceutical, Ningbo, China). Briefly, the principle of the E. coli serotyping method was as follows: the diagnostic serum was directly mixed with a bacterial suspension on a slide, the specific agglutination reaction between antigens and the corresponding serum was observed, and then the serotype was determined.

2.3. Antimicrobial Susceptibility Testing

The Kirby-Bauer disk diffusion method, as described by the Clinical and Laboratory Standard Institute [18], was used in this study to test the susceptibility of E. coli to 14 commonly used antibiotics, including ampicillin (AMP, 10 μg), amikacin (AMI, 30 μg), ciprofloxacin (CIP, 5 μg), nalidixic acid (NAL, 30 μg), tobramycin (TOB, 10 μg), ceftriaxone (CRO, 30 μg), florfenicol (FFN, 30 μg), tetracycline (TET, 30 μg), gentamicin (GEN, 10 μg), sulfamethoxazole (SXT, 25 μg), chloramphenicol (CHL, 30 μg), Augmentin (AUG, amoxicillin: clavulanate potassium = 20 μg: 10 μg), ceftazidime (CTA, 30 μg), and cefoxitin (COX, 30 μg).

E. coli (ATCC 25922) and Klebsiella pneumoniae (ATCC 700603) were used as the control strains. E. coli isolates that were resistant to more than three classes of antimicrobials were defined as multidrug resistance (MDR) isolates.

2.4. Statistical Analysis

We analysed the correlation between drug resistance phenotypes and drug resistance genes of 50 isolates. The statistical analyses were performed using SAS V8 software (SAS Inc., Raleigh, N Car, USA), employing the chi-square test. P values less than 0.05 were considered statistically significant.

2.5. Detection of the Class 1 Integron Cassette and Resistance Genes

E. coli isolates were characterized at the molecular level to detect their antimicrobial resistance mechanisms. Bacterial DNA was extracted using a TIANamp Bacterial DNA Kit (Tiangen, Beijing, China) according to the manufacturer’s instructions. Gene cassette regions within the variable region of Class 1 integrons were detected via polymerase chain reaction (PCR). Primers were synthesized according to the references [19], and the sequences are shown in Table 1. The amplification consisted of an initial denaturation at 94°C for 5 min, 30 cycles of denaturation at 94°C for 60 s, annealing at 56°C for 55 s, and extension at 68°C for 6 min. A final extension for 10 min at 72°C was also applied. The PCR products were purified and then sequenced (Invitrogen, Beijing, China). The obtained DNA sequences were compared with those in GenBank using the Basic Local Alignment Search Tool (BLAST).

Twenty-four pairs of specific primers were designed according to known sequences and references in GenBank [20–28]. The primers used for PCR and the respective amplification lengths are shown in Table 1. The presence of antibiotic resistance genes in 50 E. coli strains was analysed by PCR and sequencing.

2.6. Multilocus Sequence Typing (MLST)

MLST analysis was performed using seven pairs of primers described at http://bitbucket.org/enterobase/enterobase-web /wiki/ecoli%20MLST%20Legacy%20Info%20RST to detect seven housekeeping genes (adk, icd, mdh, gyrB, purA, recA, and fumC). PCR was performed, and the amplification products were sequenced by Shanghai Sangon Biotech Co., Ltd. DNA Star software and BLAST (Basic Local Alignment Search Tool) were used for sequence analysis and comparison. Subsequently, the comparison results were submitted to the Pasteur online database (http://enterobase.warwick.ac.uk/species /ecoli/allele_st_search), and the sequence type (ST) of each strain was determined.

Nucleotide sequences of E. coli O157:H7 str. Sakai (NCBI Reference Sequence: BA000007, ST11) [29] were obtained from the NCBI repository and included in subsequent analyses for comparison. To analyse the distribution of STs in free-range mink farms, a minimum spanning tree was generated using BioNumerics software, version 7.6 (Applied Maths, Kortrijk, Belgium).

In order to determine the clonal and epidemiological relationships as well as the formation of clonal complexes (CCs), genetic similarity diagram analysis was performed by the program eBURSTv3 [30] (http://eburst.mlst.net/). Genetic similarity diagrams can demonstrate the genetic relationship among bacteria through their respective ST analysis. Then, the bacteria can be grouped into single locus variants (SLVs), double locus variants (DLVs), and triple locus variants (TLVs) or be present in isolation (singletons). If the STs exist and there is an allele difference among the ST types, the diagram also allows verification of the grouping of STs, representing the CC [31].

In order to examine the relatedness between strains and STs at the sequence-level resolution, concatenated sequence data of each distinct representative ST were imported into the MEGA 6.0 software package [http://www.megasoftware.net/]. Through complete deletion of alignment gaps, a total of 3423 positions were used in each concatenated sequence as a data set for phylogeny calculations. An evolutionary phylogeny was constructed in MEGA 6 using the maximum composite likelihood (MCL) to estimate evolutionary distances, and the topology was validated by bootstrapping (1000 replicates) [32–34]. To establish evolutionary relevance, E. coli strain 11 (ST11) was used as the tree root. The optimum tree generated was condensed where the bootstrap support for the clustering of taxa was <50 % of the replicates [35].

In order to analyse the strain resistance phenotype and strain resistance gene relatedness in the phylogenetic tree, a phylogenetic tree was introduced into the EvolView software package [http://www.evolgenius.info/evolview/#login].

3. Results

3.1. Isolation and Serotyping of E. coli

In this study, a total of 50 nonduplicate E. coli isolates (50/62, 80.7 %) were recovered from mink faecal samples. The serological results showed that the most prevalent serovars were EHEC (3/50, 6.0 %) and ETEC (3/50, 6.0 %), including O104:H4 (3/50, 6.0 %), O20:K17 (2/50, 4.0 %) and O9:K9 (1/50, 2.0 %) (Table 2), while no EPEC was found among these E. coli isolates (0/50). EIEC accounted for 2.0 % (1/50), ETEC accounted for 6.0 % (3/50), and EHEC accounted for 6.0 % (3/50) of the isolates.

3.2. Antimicrobial Susceptibility Testing

The results of the antimicrobial susceptibility test for the 50 E. coli isolates are shown in Figure 1. Most of the strains were susceptible to COX (48/50, 96.0 %) and AMI (41/50, 82.0 %), while most isolates were resistant to AMP (46/50, 92.0 %) and TET (45/50, 90.0 %). In addition, 43 isolates (43/50, 86.0 %) were MDR. The most prevalent resistance profile was AMP-SXT-TET (6.0 %) (Figure 4).

3.3. Characterization of Class 1 Integron Structure and Antimicrobial Resistance Genes

Among the 50 E. coli isolates recovered from minks, 7 isolates (7/50, 14.0 %) carried Class 1 integrons cassettes, which contained four types of resistance gene cassette, including dfrA27+ aadA2 + qnrA (4/7, 57.1 %), dfrA17 + aadA5 (1/7, 14.3 %), dfrA12 + aadA2 (1/7, 14.3 %), and dfrA1+ aadA1 (1/7, 14.3 %) (Table 2). The isolates carrying the gene cassette were multidrug resistant, and the resistance genes qnrs and sul were present (Figure 4).

Fourteen resistance genes were detected in 50 isolates, and most isolates carried qnrS (30/50, 60.0 %), followed by sul2 (20/50, 40.0 %) and oqxA (19/50, 38.0 %), while , , aac(3)-I, aac(3)-III, Ant(2′), qnrA, qnrC, tetA, tetB, and stcM genes were not found. Among the 50 isolates, two strains did not carry resistance genes, and one strain carried 9 resistance genes (Figure 4).

The statistical analysis showed that there was a positive correlation between the tobramycin/gentamicin resistance spectrum and the presence of the aac(3)-II gene (P<0.01). The resistance rate to tobramycin and gentamicin of strains carrying the aac(3)-II gene was 64.29 %, and for those without the aac(3)-II gene, the resistance rate to tobramycin and gentamicin was 25 % and 16.67 %, respectively.

3.4. MLST

Based on the MLST analysis results, 50 E. coli strains were classified into 31 different sequence types (STs); ST46 (8/50, 16 %) was the most frequent ST, followed by ST398 (4/50, 8 %) and ST10 (3/50, 6 %). Each of the following STs accounted for 4 % (2/50): ST540, ST1434, ST710, ST226, ST206, and ST48. The other strains were individually classified into 22 different STs (Table 2).

Eighteen of the 31 ST genotypes originated from 10 clonal complexes, and the remaining 13 ST types did not have clonal complexes within the BURST algorithm. Ten different STs of the 50 E. coli strains formed three clonal complexes, CC10, CC46, and CC176. Among the three clonal complexes, CC10 was the largest, containing eight isolates, consisting of ST10, ST43, ST48, ST215, and ST744 in ST10 Cplx. The second largest clonal complex was CC46, which contained ten isolates, consisting of ST46 and ST1421 in ST10 Cplx and ST7110 without a clonal complex. The minimum clonal complex was CC176, consisting of ST5708 in ST10 Cplx and ST176 without a clonal complex (Figure 2).

From the comparison with current human E. coli STs in China (human ST source: http://enterobase.warwick .ac.uk/species/ecoli/search_strains?query=st_search]), all the isolates except for ST3705, ST716, ST3014, ST7588, ST398, ST1434, ST181, ST5143, ST3782, and ST3849 and human source E. coli presented STs with very close clonal relationships, such as SLVs, DLVs, or TLVs. The STs were distributed in nine clonal complexes: CC10, CC88, CC46, CC542, CC4995, CC206, CC224, CC58, and CC710. Human source STs, such as ST10, ST46, ST361, and ST2179, were also found in mink E. coli isolates (Figure 3).

Figure 3

eBURST diagram generated by comparing the isolated strains dataset with the E. coli MLST database from human strains in China. Note. The E. coli MLST database from human strains in China was the reference dataset. STs in the profiles window are coloured differentially dependent on their membership of the two datasets. In pink, STs found in both datasets; in green, STs found in the QUERY dataset only; in blue, the primary ST founder of the clonal complexes; in yellow, the subgroup founder of the clonal complexes; and in black, all other STs.

Figure 4

Diversity profiles of the phylogenetic tree, drug resistance genes, antimicrobial resistance, and Class 1 integron structure. Note. Dendrogram of seven allele sequence types from 50 E. coli isolates from minks. ST11 is included as the reference. The three shaded parts in the figure represent three clonal complexes, CC10, CC46, and CC176 from top to bottom. The unit information is the number of isolated strains followed by the ST type and Class 1 integron structure IntA, dfrA27+aadA2+qnrA; IntB, dfrA17+aadA5; IntC, dfrA12+aadA2; or IntD, dfrA1+aadA1. (1) The 14 detected resistance genes were shown in the left matrix: a red square indicates that the strain carries the resistance gene, and a light blue square indicates that the resistance gene is not detected. (2) Antibiotics used in this experiment were shown in the right matrix: a blue square indicates that the strain is resistant to the antibiotic, and a light blue square indicates that the strain is not resistant.

As shown in the heatmap of the phylogenetic tree, most of the same ST strains were concentrated in the phylogenetic tree. The strains of the CC46 and CC176 clonal complexes were centrally distributed in the phylogenetic tree. The strains of the CC10 clonal complex were distributed in two regions in the phylogenetic tree.

There were significant differences between the drug resistance spectrum composition and drug resistance gene carriage status among most of the same ST strains or strains of the same clonal complex in the phylogenetic tree. There were no significant differences, or the differences were comparatively close between the drug resistance spectrum composition and drug resistance gene carriage status among the strains with close genetic relationships, such as 14-ST540 and 17-ST206.

There was no correlation between strains carrying different integrons or serotypes and their sequence type (Figure 4).

4. Discussion

In this study, 50 E. coli strains were recovered from minks in the Zhucheng region. The serotyping results showed that the most prevalent serovars were EHEC and ETEC, while there was no EPEC found in our study. It was worth mentioning that the O104:H4 EHEC strain was detected in our study. Some serotypes of EHEC carry Shiga toxins, especially E. coli O157, which commonly carries Shiga toxins (stx1 and stx2). Additionally, what makes this pathogen more important is that it is even capable of expressing stx1 and stx2 under the VBNC state according to the latest study [36]. In view of the relatively poor sanitation conditions in livestock breeding environments, the EHEC O104:H4 strain may be a potential pathogenic factor in mink farms. We should pay more attention to EHEC O104:H4 in the mink breeding industry and control measures should also be implemented.

In the antimicrobial susceptibility test, most strains were found to be susceptible to cefoxitin and amikacin, which was consistent with the results of a previous report focused on red foxes in Portugal [37] but was not consistent with a report on minks in Denmark, which may be due to differences in geography and rearing conditions [38]. Most isolates were resistant to ampicillin (46/50, 92.0 %) and tetracycline (45/50, 90.0 %), which was similar to a report on minks in Denmark [38, 39], but the percentage of resistance to ampicillin and tetracycline was much higher than that of Pedersen’s study (59.1 % and 75.5 %) [38]. Our study showed that 43 isolates (43/50, 86.0 %) were MDR, which was much higher than the MDR rate in minks in Denmark (60 %) [38].

Integrons are natural, highly efficient recombination and expression systems that can capture genes as part of genetic elements known as gene cassettes [40]. In recent studies, Class 1 integrons were investigated in animal, water, and human stool samples [41–44]; however, there have been few reports focusing on the prevalence of Class 1 integrons in strains of E. coli from minks. In this study, we investigated the occurrence and cassette region composition of Class 1 integrons among 50 E. coli isolates from minks. Among the 50 isolates recovered from minks, 7 isolates (7/50, 14.0 %) carried Class 1 integrons, which was similar to that (16.0 %) of a previous study in sheep [6] but was lower than that of rabbits and cattle [45, 46]. These different results may be due to differences in species, environments and regions. Four transferable DHFR genes were detected in 50 isolates, dfrA1, dfrA12, dfrA17, and dfrA27; these gene cassettes were encoded by the trimethoprim resistance gene. Three transferable AAD genes were detected in 50 isolates, aadA1, aadA2, and aadA5; these gene cassettes were encoded by the aminoglycoside resistance gene. In addition, qnrA was encoded by the quinolone resistance gene. Four kinds of gene cassette arrays, dfrA27 + aadA2 + qnrA, dfrA17 + aadA5, dfrA12 + aadA2, and dfrA1 + aadA1, were identified in this study. These integrons were found not only in Salmonella [47, 48] and E. coli [49, 50] from chickens, ducks, and pigs, but also in Klebsiella pneumoniae [51] and Staphylococcus aureus [52] isolated from China, suggesting that gene cassette arrays can be transferred to different species of bacteria with the horizontal movement of integrons and then transmitted to different species. The horizontal transfer of integrons may have an important effect on the clinical use of antibiotics. Of note, Class 1 integrons are usually associated with MDR E. coli isolates, which is consistent with the results of this study.

A wide variety of resistance genes were found in nonpathogenic E. coli strains from minks. The inclusion of some resistance genes inside integrons may explain the spread of antibiotic resistance among minks in the Zhucheng area. Among the three types of β-lactamase resistance genes detected in our study, 20.0 % of the E. coli isolates carried and , whereas 92.0 % of the isolates were resistant to ampicillin; this may be related to the expression level of and genes and requires further study. Our data showed that 40.0 % of the E. coli isolates carried sul2, 32.0 % of the E. coli isolates carried sul3, 24.0 % of the E. coli isolates carried sul1, and 58.0 % of the isolates were resistant to sulfamethoxazole. The detection rates of β-lactamase and sulfamethoxazole resistance genes in our study are similar to those in red foxes in northern Portugal [37]; however, there were some slight differences; for instance, both and were detected in our study, but only was detected in the previous study [37]. For the sulfamethoxazole resistance genes, sul1, sul2, and sul3, were all detected in our study, but only sul1 was detected in the red fox study [37]. These differences may be related to the differences in regions and species.

In our study, the quinolone genes (qnrS, qnrB, qnrD, and oqxA) were detected, alone or in combination in quinolone-resistant isolates, revealing that the frequent occurrence of quinolone genes may be associated with high antibiotic resistance rates to quinolone. Nevertheless, our results showed that there was no tetracycline resistance gene among mink E. coli isolates, which was not consistent with the resistance rate of tetracycline (90.0 %).

The MLST method provides a scalable typing system that reflects the population and evolutionary biology of bacteria and makes valid comparisons between results from different laboratories possible. MLST applies neutral or slowly accumulating genetic variations in housekeeping genes, which are not affected by the rapid evolution detected within genes encoding proteins that influence survival in a particular niche [53–55]. MLST analyses rely on the sequencing of seven housekeeping genes for each E. coli isolate. The sequences are compared using an online database (http://www.mlst.net) that attributes the allelic profile and performs the concatenation leading to the sequence type. MLST results are accurate and reproducible between laboratories and, over time, provide detailed information on the overall epidemiology of the organism [56, 57]. STs are grouped in clonal complexes (CCs) of isolates that share five to seven alleles with another sequence type in the group [58]. Therefore, the clonal relationship of E. coli from minks was studied by MLST, and a phylogenetic tree was constructed based on the strain MLST data to understand the apparent partial characteristics of strains with different genetic relationships and the differences in drug resistance gene carriage.

In our study, 31 previously known STs were found, of which 18 STs (10, 23, 43, 46, 48, 58, 181, 206, 215, 226, 398, 716, 744, 1421, 1434, 3075, 5708, and 7588) were clustered in 10 CCs (10, 23, 46, 155, 168, 206, 226, 398, 467, and 522) (Figure 2), and the remaining 13 STs did not have CCs in the BURST algorithm. Ten previously known STs (10, 43, 48, 215, 744, 1421, 46, 7110, 176, and 5708) were found in 31 STs of 50 E. coli strains, which were clustered in three CCs (10, 46, and 176) (Figure 2). This finding differs from a previous study focused on E. coli of rabbits performed in Shandong Province [45]; these differences may indicate that, compared with other animals such as rabbits, E. coli strains from minks in Shandong Province have greater ST diversity and more CCs. The most frequently detected ST was ST46 (8/50, 16%) in the study. Compared with other reports, there were significant differences in STs and dominant STs detected from different regions and species. For example, ST302 was the dominant ST in rabbits in Shandong Province [45], ST710 was the dominant ST in non-O157 Shigatoxin-producing Escherichia coli (STEC) strains isolated from different resources in China [59], and ST101 was the dominant ST in edible animals in China [60]. This indicates that the genotypes of E. coli are widely distributed, and the dominant ST is obvious different among different regions. The reasons for this phenomenon may be related to the cloning and transmission of E. coli strains. Compared with 340 STs of human E. coli from China, we found that 17 STs of mink origin differed from the human STs by one allele and formed 9 clones (Figure 3). Four STs (10, 46, 361, and 2179) were the same as human STs (Figure 3). CC10 showed an interesting and unexpected result because the cluster contained 48 STs (8 from animals and 41 from humans). ST10 is a strong possible common ancestor candidate for CC10. ST48 from mink is a CC10 subgroup founder connecting five different STs (3127, 3932, 2739, 2434, and 4082) from human sources. These results show that some mink-derived E. coli are closely related to human E. coli (in the Chinese population), and these STs might be related to some diseases (based on http://enterobase.warwick.ac.uk/species/ecoli/search_strains?Query=st_search). To prevent threats to public health, therefore, continuous monitoring and detection of E. coli in minks are necessary.

By studying the results of the phylogenetic tree, we found that the strains of the same ST, such as ST10, ST46, and ST1434, were distributed in the same region on the phylogenetic tree and had the closest relationship with each other (Figure 4). Most strains of the same CC were concentrated in phylogenetic trees, but ST48 in CC10 was far from other strains in CC10. We speculated that the difference in the adK gene between ST48 and ST10 may be the cause of this distribution. Antibiotic resistance profiles and resistance gene profiles of ST genotypes with different genetic relationships were observed. We can conclude that the distribution of different serotypes and integron-carrying strains in phylogenetic trees has no obvious regularity. From the phylogenetic tree as a whole, there were clear differences in the composition of the drug resistance spectrum and the types of drug resistance genes carried by the closely related strains, but there were also some closely related strains with drug resistance spectrum composition and types of drug resistance gene carried that were very similar (17-ST206 and 14-ST540) (Figure 4). These strains have a high level of genetic similarity.

5. Conclusions

In summary, we conducted an epidemiological survey of E. coli on mink farms in Zhucheng. Our results showed that E. coli was highly prevalent in minks. The reported pathogenic serotypes and MDR E. coli strains contained abundant types of drug resistance genes and a certain number of gene cassettes. E. coli isolated from mink origin had similar genes, and some strains had high genetic similarity with E. coli strains isolated from humans in China. Therefore, the relevant breeding enterprises should manage and prevent these pathogenic bacteria to avoid harm to public health.

Data Availability

The data used to support the findings of this study are available from the corresponding author upon request.

Conflicts of Interest

The authors declare that they have no conflicts of interest.

Authors’ Contributions

Jianhua Qiu and Zhiyu Jiang have contributed equally to this work.

Acknowledgments

This work was supported by the National key R&D project of China (2017YFD0500105); Shandong Modern Agricultural Technology & Industry System (SDAIT-21-10 & SDAIT-21-07); Taishan Scholar Program (201511023); Funds of Shandong “Double Tops” program.

References

S. Allcock, E. H. Young, M. Holmes et al., “Antimicrobial resistance in human populations: challenges and opportunities – ERRATUM,” Global Health, Epidemiology and Genomics, vol. 2, p. 4, 2017.
View at: Publisher Site | Google Scholar
L. Cantas, S. Q. Shah, L. M. Cavaco et al., “A brief multi-disciplinary review on antimicrobial resistance in medicine and its linkage to the global environmental microbiota,” Frontiers in Microbiology, vol. 4, p. 96, 2013.
View at: Publisher Site | Google Scholar
C. J. Alteri and H. L. Mobley, “Escherichia coli physiology and metabolism dictates adaptation to diverse host microenvironments,” Current Opinion in Microbiology, vol. 15, no. 1, pp. 3–9, 2012.
View at: Publisher Site | Google Scholar
J. B. Kaper, J. P. Nataro, and H. L. T. Mobley, “Pathogenic Escherichia coli,” Nature Reviews Microbiology, vol. 2, no. 2, pp. 123–140, 2004.
View at: Publisher Site | Google Scholar
J. B. Kaper, “Pathogenic Escherichia coli,” International Journal of Medical Microbiology, vol. 295, no. 6-7, pp. 355-356, 2005.
View at: Publisher Site | Google Scholar
R. Kheiri and L. Akhtari, “Antimicrobial resistance and integron gene cassette arrays in commensal Escherichia coli from human and animal sources in IRI,” Gut Pathogens, vol. 8, no. 1, article no. 40, 2016.
View at: Google Scholar
M. C. Thaller, L. Migliore, C. Marquez et al., “Tracking acquired antibiotic resistance in commensal bacteria of galápagos land iguanas: No man, no resistance,” PLoS ONE, vol. 5, no. 2, Article ID e8989, 2010.
View at: Publisher Site | Google Scholar
World Health Organization (WHO), “WHO first global report on antibiotic resistance reveals serious, worldwide threat to public health,” 2014.
View at: Google Scholar
Z. Xu, L. Li, L. Shi, and M. E. Shirtliff, “Class 1 integron in staphylococci,” Molecular Biology Reports, vol. 38, no. 8, pp. 5261–5279, 2011.
View at: Publisher Site | Google Scholar
K. Kadlec and S. Schwarz, “Analysis and distribution of class 1 and class 2 integrons and associated gene cassettes among Escherichia coli isolates from swine, horses, cats and dogs collected in the BfT-GermVet monitoring study,” Journal of Antimicrobial Chemotherapy, vol. 62, no. 3, pp. 469–473, 2008.
View at: Publisher Site | Google Scholar
D. Mazel, “Integrons: agents of bacterial evolution,” Nature Reviews Microbiology, vol. 4, no. 8, pp. 608–620, 2006.
View at: Publisher Site | Google Scholar
Y. Boucher, M. Labbate, J. E. Koenig, and H. W. Stokes, “Integrons: mobilizable platforms that promote genetic diversity in bacteria,” Trends in Microbiology, vol. 15, no. 7, pp. 301–309, 2007.
View at: Publisher Site | Google Scholar
M. Gillings, Y. Boucher, M. Labbate et al., “The evolution of class 1 integrons and the rise of antibiotic resistance,” Journal of Bacteriology, vol. 190, no. 14, pp. 5095–5100, 2008.
View at: Publisher Site | Google Scholar
H. Y. Kang, Y. S. Jeong, J. Y. Oh et al., “Characterization of antimicrobial resistance and class 1 integrons found in Escherichia coli isolates from humans and animals in Korea,” Journal of Antimicrobial Chemotherapy, vol. 55, no. 5, pp. 639–644, 2005.
View at: Publisher Site | Google Scholar
J. Qi, L. Li, Y. Du et al., “The identification, typing, and antimicrobial susceptibility of Pseudomonas aeruginosa isolated from mink with hemorrhagic pneumonia,” Veterinary Microbiology, vol. 170, no. 3-4, pp. 456–461, 2014.
View at: Publisher Site | Google Scholar
Y. D. Zhao, L. L. Guo, J. Li et al., “Molecular epidemiology, antimicrobial susceptibility, and pulsed-field gel electrophoresis genotyping of Pseudomonas aeruginosa isolates from mink,” Canadian Journal of Veterinary Research, vol. 82, no. 4, pp. 256–263, 2018.
View at: Google Scholar
L. Gao, J. Hu, X. Zhang et al., “Application of swine manure on agricultural fields contributes to extended- spectrum ß-lactamase producing Escherichia coli spread in Tai'an, China,” Frontiers in Microbiology, vol. 6, p. 313, 2015.
View at: Publisher Site | Google Scholar
Clinical and Laboratory Standards Institute, Performance Standards for Antimicrobial Susceptibility Testing: Twentieth-third Informational Supplement M100-S23, Clinical and Laboratory Standards Institute, Wayne, PA, USA, 2017.
P. A. White, C. J. McIver, Y.-M. Deng, and W. D. Rawlinson, “Characterisation of two new gene cassettes, aadA5 and dfrA17,” FEMS Microbiology Letters, vol. 182, no. 2, pp. 265–269, 2000.
View at: Publisher Site | Google Scholar
A. M. Ahmed, Y. Motoi, M. Sato et al., “Zoo animals as reservoirs of gram-negative bacteria harboring integrons and antimicrobial resistance genes,” Applied and Environmental Microbiology, vol. 73, no. 20, pp. 6686–6690, 2007.
View at: Publisher Site | Google Scholar
S.-M. Puah, S. D. Puthucheary, F.-Y. Liew, and K.-H. Chua, “Aeromonas aquariorum clinical isolates: antimicrobial profiles, plasmids and genetic determinants,” International Journal of Antimicrobial Agents, vol. 41, no. 3, pp. 281–284, 2013.
View at: Publisher Site | Google Scholar
L.-K. Ng, I. Martin, M. Alfa, and M. Mulvey, “Multiplex PCR for the detection of tetracycline resistant genes,” Molecular and Cellular Probes, vol. 15, no. 4, pp. 209–215, 2001.
View at: Publisher Site | Google Scholar
A. Robicsek, J. Strahilevitz, D. F. Sahm, G. A. Jacoby, and D. C. Hooper, “qnr prevalence in ceftazidime-resistant Enterobacteriaceae isolates from the United States,” Antimicrobial Agents and Chemotherapy, vol. 50, no. 8, pp. 2872–2874, 2006.
View at: Publisher Site | Google Scholar
C. H. Park, A. Robicsek, G. A. Jacoby, D. Sahm, and D. C. Hooper, “Prevalence in the United States of aac(6′)-Ib-cr encoding a ciprofloxacin-modifying enzyme,” Antimicrobial Agents and Chemotherapy, vol. 50, no. 11, pp. 3953–3955, 2006.
View at: Publisher Site | Google Scholar
X. Liao, J. Xia, L. Yang et al., “Characterization of CTX-M-14-producing Escherichia coli from food-producing animals,” Frontiers in Microbiology, vol. 6, p. 1136, 2015.
View at: Publisher Site | Google Scholar
A.-Y. Zhang, H.-N. Wang, G.-B. Tian et al., “Phenotypic and genotypic characterisation of antimicrobial resistance in faecal bacteria from 30 Giant pandas,” International Journal of Antimicrobial Agents, vol. 33, no. 5, pp. 456–460, 2009.
View at: Publisher Site | Google Scholar
A. M. Ahmed, A. I. A. Hussein, and T. Shimamoto, “Proteus mirabilis clinical isolate harbouring a new variant of Salmonella genomic island 1 containing the multiple antibiotic resistance region,” Journal of Antimicrobial Chemotherapy, vol. 59, no. 2, pp. 184–190, 2007.
View at: Publisher Site | Google Scholar
E. V. Navajas, C. A. Benito, C. A. Alonso, S. Sanz et al., “Molecular characterization of antibiotic resistance in Escherichia coli strains from a dairy cattle farm and its surroundings,” Journal of the Science of Food Agriculture, vol. 97, no. 1, pp. 362–365, 2017.
View at: Google Scholar
X. W. Ji, Y. L. Liao, Y. F. Zhu et al., “Multilocus sequence typing and virulence factors analysis of Escherichia coli O157 strains in China,” Journal of Microbiology, vol. 48, no. 6, pp. 849–855, 2010.
View at: Publisher Site | Google Scholar
E. J. Feil, B. C. Li, D. M. Aanensen, W. P. Hanage, and B. G. Spratt, “eBURST: Inferring patterns of evolutionary descent among clusters of related bacterial genotypes from multilocus sequence typing data,” Journal of Bacteriology, vol. 186, no. 5, pp. 1518–1530, 2004.
View at: Publisher Site | Google Scholar
V. F. Alves, F. C. Niño-Arias, A. Pitondo-Silva et al., “Molecular characterisation of Staphylococcus aureus from some artisanal Brazilian dairies,” International Dairy Journal, vol. 85, pp. 247–253, 2018.
View at: Publisher Site | Google Scholar
J. Felsenstein, “Confidence limits on phylogenies: an approach using the bootstrap,” Evolution, vol. 39, pp. 783–791, 1985.
View at: Publisher Site | Google Scholar
N. Saitou and M. Nei, “The neighbor-joining method: a new method for reconstructing phylogenetic trees,” Molecular Biology and Evolution, vol. 4, no. 4, pp. 406–425, 1987.
View at: Publisher Site | Google Scholar
K. Tamura, M. Nei, and S. Kumar, “Prospects for inferring very large phylogenies by using the neighbor-joining method,” Proceedings of the National Acadamy of Sciences of the United States of America, vol. 101, no. 30, pp. 11030–11035, 2004.
View at: Publisher Site | Google Scholar
K. Tamura, G. Stecher, D. Peterson, A. Filipski, and S. Kumar, “MEGA6: molecular evolutionary genetics analysis version 6.0,” Molecular Biology and Evolution, vol. 30, no. 12, pp. 2725–2729, 2013.
View at: Publisher Site | Google Scholar
J. Liu, R. Zhou, L. Li et al., “Viable but non-culturable state and toxin gene expression of enterohemorrhagic Escherichia coli O157 under cryopreservation,” Research in Microbiology, vol. 168, no. 3, pp. 188–193, 2017.
View at: Google Scholar
H. Radhouani, G. Igrejas, A. Gonçalves et al., “Antimicrobial resistance and virulence genes in Escherichia coli and enterococci from red foxes (Vulpes vulpes),” Anaerobe, vol. 23, pp. 82–86, 2013.
View at: Publisher Site | Google Scholar
K. Pedersen, A. S. Hammer, C. M. Sørensen, and O. E. Heuer, “Usage of antimicrobials and occurrence of antimicrobial resistance among bacteria from mink,” Veterinary Microbiology, vol. 133, no. 1-2, pp. 115–122, 2009.
View at: Publisher Site | Google Scholar
N. K. Nikolaisen, D. C. Lassen, M. Chriél, G. Larsen, V. F. Jensen, and K. Pedersen, “Antimicrobial resistance among pathogenic bacteria from mink (Neovison vison) in Denmark,” Acta Veterinaria Scandinavica, vol. 59, no. 1, pp. 60–69, 2017.
View at: Publisher Site | Google Scholar
S. J. Rosser and H.-K. Young, “Identification and characterization of class 1 integrons in bacteria from an aquatic environment,” Journal of Antimicrobial Chemotherapy, vol. 44, no. 1, pp. 11–18, 1999.
View at: Publisher Site | Google Scholar
M. Labbate, P. R. Chowdhury, and H. W. Stokes, “A class 1 integron present in a human commensal has a hybrid transposition module compared to Tn402: Evidence of interaction with mobile DNA from natural environments,” Journal of Bacteriology, vol. 190, no. 15, pp. 5318–5327, 2008.
View at: Publisher Site | Google Scholar
T. M. LaPara, T. R. Burch, P. J. McNamara, D. T. Tan, M. Yan, and J. J. Eichmiller, “Tertiary-treated municipal wastewater is a significant point source of antibiotic resistance genes into duluth-superior harbor,” Environmental Science & Technology, vol. 45, no. 22, pp. 9543–9549, 2011.
View at: Publisher Site | Google Scholar
H.-C. Su, G.-G. Ying, R. Tao, R.-Q. Zhang, L. R. Fogarty, and D. W. Kolpin, “Occurrence of antibiotic resistance and characterization of resistance genes and integrons in Enterobacteriaceae isolated from integrated fish farms in south China,” Journal of Environmental Monitoring, vol. 13, no. 11, pp. 3229–3236, 2011.
View at: Publisher Site | Google Scholar
M. Karczmarczyk, C. Walsh, R. Slowey, N. Leonard, and S. Fanning, “Molecular characterization of multidrug-resistant Escherichia coli isolates from Irish cattle farms,” Applied and Environmental Microbiology, vol. 77, no. 20, pp. 7121–7127, 2011.
View at: Publisher Site | Google Scholar
X. Zhao, J. Yang, Z. Ju, W. Chang, and S. Sun, “Molecular characterization of antimicrobial resistance in Escherichia coli from rabbit farms in Tai’an, China,” BioMed Research International, vol. 2018, Article ID 8607647, 7 pages, 2018.
View at: Publisher Site | Google Scholar
H. S. Wang, H. R. Ping, Y. M. Gao et al., “Study on molecular characterization of Class integron and integron-associated antimicrobial resistance in Escherichia coli from beef cattle,” China Animal Husbandry Veterinary Medicine, vol. 41, no. 9, pp. 63–67, 2014.
View at: Google Scholar
R. Li, J. Lai, Y. Wang et al., “Prevalence and characterization of Salmonella species isolated from pigs, ducks and chickens in Sichuan Province, China,” International Journal of Food Microbiology, vol. 163, no. 1, pp. 14–18, 2013.
View at: Publisher Site | Google Scholar
X. Zhao, J. Yang, B. Zhang, S. Sun, and W. Chang, “Characterization of integrons and resistance genes in Salmonella isolates from farm animals in Shandong province, China,” Frontiers in Microbiology, vol. 8, p. 1300, 2017.
View at: Google Scholar
L. Lu, L. Dai, Y. Wang et al., “Characterization of antimicrobial resistance and integrons among Escherichia coli isolated from animal farms in Eastern China,” Acta Tropica, vol. 113, no. 1, pp. 20–25, 2010.
View at: Publisher Site | Google Scholar
C. M. Wu, Z. L. Chen, and Z. L. Zeng, “Molecular epidemiology studies on class 1 integron and its gene cassette of Escherichia coli strains isolated from a swine farm,” Chinese Journal of Animal and Veterinary Sciences, vol. 36, no. 9, pp. 931–936, 2005 (Chinese).
View at: Google Scholar
L. Yue, X. Chen, S. Li et al., “First report of plasmid-mediated quinolone resistance qnrA1 gene in Klebsiella pneumoniae isolate of animal origin,” Foodborne Pathogens and Disease, vol. 8, no. 4, pp. 565–568, 2011.
View at: Publisher Site | Google Scholar
L. Li and X. Zhao, “Characterization of the resistance class 1 integrons in Staphylococcus aureus isolates from milk of lactating dairy cattle in Northwestern China,” BMC Veterinary Research, vol. 14, no. 1, p. 59, 2018.
View at: Google Scholar
R. K. Selander, D. A. Caugant, H. Ochman et al., “Methods of multilocus enzyme electrophoresis for bacterial population genetics and systematics,” Applied and Environmental Microbiology, vol. 51, no. 5, pp. 873–884, 1986.
View at: Google Scholar
R. Urwin and M. C. J. Maiden, “Multi-locus sequence typing: a tool for global epidemiology,” Trends in Microbiology, vol. 11, no. 10, pp. 479–487, 2003.
View at: Publisher Site | Google Scholar
J. E. Cooper and E. J. Feil, “Multilocus sequence typing - What is resolved?” Trends in Microbiology, vol. 12, no. 8, pp. 373–377, 2004.
View at: Publisher Site | Google Scholar
R. F. Rabello, B. M. Moreira, R. M. M. Lopes, L. M. Teixeira, L. W. Riley, and A. C. D. Castro, “Multilocus sequence typing of Staphylococcus aureus isolates recovered from cows with mastitis in Brazilian dairy herds,” Journal of Medical Microbiology, vol. 56, no. 11, pp. 1505–1511, 2007.
View at: Publisher Site | Google Scholar
Y. Xie, Y. He, A. Gehring et al., “Genotypes and toxin gene profiles of staphylococcus aureus clinical isolates from China,” PLoS ONE, vol. 6, no. 12, Article ID e28276, 2011.
View at: Publisher Site | Google Scholar
E. M. Smith, L. E. Green, G. F. Medley et al., “Multilocus sequence typing of intercontinental bovine Staphylococcus aureus isolates,” Journal of Clinical Microbiology, vol. 43, no. 9, pp. 4737–4743, 2005.
View at: Publisher Site | Google Scholar
X. Bai, B. Hu, Y. Xu et al., “Molecular and phylogenetic characterization of Non-O157 shiga toxin-producing escherichia coli strains in china,” Frontiers in Cellular and Infection Microbiology, vol. 6, article no. 143, 2016.
View at: Publisher Site | Google Scholar
Y. Guo, W. Zhang, S. Ren et al., “IncA/C plasmid-mediated spread of CMY-2 in multidrug-resistant escherichia coli from food animals in China,” PLoS ONE, vol. 9, no. 5, p. e96738, 2014.
View at: Publisher Site | Google Scholar

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