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Migratory wild birds carrying multidrug-resistant Escherichia coli as potential transmitters of antimicrobial resistance in China

  • Yue Yuan ,

    Contributed equally to this work with: Yue Yuan, Bing Liang

    Roles Formal analysis, Investigation, Writing – original draft

    Affiliations Engineering Research Center of Glycoconjugates, Ministry of Education, School of Life Sciences, Northeast Normal University, Changchun, China, Changchun Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Changchun, China

  • Bing Liang ,

    Contributed equally to this work with: Yue Yuan, Bing Liang

    Roles Formal analysis, Investigation, Writing – original draft

    Affiliations Changchun Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Changchun, China, Key Laboratory of Jilin Province for Zoonosis Prevention and Control, Changchun, China

  • Bo-wen Jiang,

    Roles Formal analysis, Investigation

    Affiliations Changchun Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Changchun, China, Key Laboratory of Jilin Province for Zoonosis Prevention and Control, Changchun, China

  • Ling-wei Zhu,

    Roles Formal analysis, Resources

    Affiliations Changchun Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Changchun, China, Key Laboratory of Jilin Province for Zoonosis Prevention and Control, Changchun, China

  • Tie-cheng Wang,

    Roles Resources

    Affiliations Changchun Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Changchun, China, Key Laboratory of Jilin Province for Zoonosis Prevention and Control, Changchun, China

  • Yuan-guo Li,

    Roles Resources

    Affiliations Changchun Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Changchun, China, Key Laboratory of Jilin Province for Zoonosis Prevention and Control, Changchun, China

  • Jun Liu,

    Roles Formal analysis, Resources

    Affiliations Changchun Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Changchun, China, Key Laboratory of Jilin Province for Zoonosis Prevention and Control, Changchun, China

  • Xue-jun Guo,

    Roles Project administration

    Affiliations Changchun Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Changchun, China, Key Laboratory of Jilin Province for Zoonosis Prevention and Control, Changchun, China

  • Xue Ji ,

    Roles Writing – original draft, Writing – review & editing

    sunyang10@hotmail.com (YS); ji_xuecn@aliyun.com (XJ)

    Affiliations Changchun Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Changchun, China, Key Laboratory of Jilin Province for Zoonosis Prevention and Control, Changchun, China

  • Yang Sun

    Roles Funding acquisition, Project administration, Supervision, Writing – original draft, Writing – review & editing

    sunyang10@hotmail.com (YS); ji_xuecn@aliyun.com (XJ)

    Affiliations Changchun Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Changchun, China, Key Laboratory of Jilin Province for Zoonosis Prevention and Control, Changchun, China

Abstract

Migratory birds play an important role in the spread of multidrug-resistant (MDR) bacteria. To investigate the prevalence of MDR Escherichia coli in migratory birds in China and potential relationships with the environment, a total of 1387 samples (fecal samples, cloacal swabs, or throat swabs) were collected from migratory birds from three different river basins in China. The collected samples were processed and subjected to bacteriological examinations. Antimicrobial susceptibility testing of the recovered isolates was performed using the E-test for the detection of minimum inhibitory concentrations (MICs). Some antibiotic resistance genes were detected and the PCR products were confirmed by sequencing. In total, 478 (34.7%) E. coli isolates were recovered. The results showed that the drug-resistant E. coli isolates were highly resistant to β-lactams (43.7%) and tetracycline (22.6%), and 73 (15.3%) were MDR, including eight that were extended spectrum β-lactamase-positive. The retrieved strains harbored the blaCTX-M, blaTEM-1, tet(A), tet(B), tet(M), sul1, sul2, sul3, cmlA, floR, and intI1 genes with a prevalence of 5.9%, 36.4%, 80.5%, 11.9%, 6.8%, 6.8%, 47.5%, 12.7%, 50.8%, 37.3%, and 61.0%, respectively. The drug resistance rate of the isolates from southern China was higher than those from northern China. The E. coli samples collected for migratory birds in the Pearl River Basin had the highest proportion (46.7%) MDR isolates. Furthermore, MDR bacteria carried by migratory birds were closely related to the antibiotic content in the basin, which confirms that MDR bacteria carried by migratory birds are likely acquired from the environment. This study also confirmed that migratory birds are potential transmitters of MDR bacteria, demonstrating the need to reduce the use and emission of antibiotics and further in-depth studies on the mechanisms underlying drug resistance of bacteria.

Introduction

Antimicrobial resistance (AMR) is among the most important threats to public health. Inadequate treatment of waste from humans and livestock containing antimicrobial drugs leads to the environmental dissemination of antibiotic-resistant bacteria. The resulting spread of multidrug-resistant (MDR) bacteria and antibiotic resistance genes (ARGs) poses a significant threat to the health of humans and animals worldwide [1,2]. The prevalence of MDR bacteria continues to increase worldwide. Several recent investigations reported the emergence of MDR bacterial pathogens from different origins, including humans, birds, cattle, and fish, which increase the need for routine antimicrobial susceptibility testing to choose an appropriate antibiotic as well as the screening of the emerging MDR strains.

Escherichia coli is one of the best bacterial models to study the spread of AMR [3,4]. Most E. coli strains that reside in the intestines are harmless, but some can cause severe diarrhea. Some E. coli obtain a series of functional genes through horizontal transfer, which allow for colonization of the host intestine. The E. coli strains that cause diarrhea include the enterotoxigenic, enterohemorrhagic, enteroinvasive, enteropathogenic, enteroaggregative, diffusely adherent, and cell-detaching pathotypes [5]. The pathogenic mechanisms of the E. coli pathotypes differ. For example, enterotoxigenic E. coli, which is characterized by the production of colonization factors and at least one type of heat-labile (LT) or heat-stable (ST) enterotoxin, is also an important pathogen in other domesticated animals, including pigs and cattle [6], while enteropathogenic E. coli does not produce LT and ST enterotoxins, but rather generates attaching and effacing lesions to the intestinal epithelium [6]. Recent studies have reported the emergence of MDR pathogens [79]. β-lactam drugs account for about 60% of all prescribed antibacterial agents, probably due to safety and adequacy. However, overuse of these agents had led to the rapid emergence of MDR pathogens [10]. The frequent occurrence of MDR bacteria indicates the excessive and arbitrary use of antibiotics, which poses a great threat to public health, and reflects the necessity for the development of new potent and safe antibiotics [11].

Wild animals, especially those that migrate, have a great influence on the spread of MDR bacteria and ARGs [12]. Due to the diversity in ecological niches, migratory birds act as reservoirs and transporters of antibiotic-resistant bacteria and consequently play a significant epidemiological role in the dissemination of ARGs [13,14]. Globally, there are eight bird migratory routes, which are distributed among all continents, including Antarctica. Migratory birds, which are abundant in number and have a wide range of activities, carry foreign ARGs during migration that facilitates the dissemination of MDR bacteria and ARGs in the environment [1518]. Three of the eight bird migratory routes pass through China, including the East Asian-Australasian Flyway, which has the greatest diversity and populations of migratory birds [19]. Many migratory birds choose wetlands around rivers and lakes along this route as habitats for breeding or wintering. Some studies have investigated the intercontinental transmission of MDR bacteria and ARGs by migratory birds to different areas of China [18,20,21]. However, no study has yet to comprehensively assess MDR bacteria isolated from migratory birds in different regions and river basins in China.

Therefore, in order to better understand the dissemination of MDR bacteria and ARGs by migratory birds along the East Asian-Australasian Flyway and potential environmental impacts, more than 1000 samples were collected from migratory birds in different regions in China. The resistant phenotypes and ARGs of E. coli isolated from these samples were identified and the drug resistance rates of the isolates from different river basins were compared. By investigating the relationship between the MDR E. coli carried by migratory birds and environmental factors, especially antibiotic discharge, the effects of bird migration on the transmission of MDR bacteria and ARGs were assessed.

Materials and methods

Sample collection

All migratory bird samples were collected from May 2017 to June 2019 from six provinces in China (Fig 1, obtained from the USGS National Map Viewer). The procedures for handling and sampling of migratory birds were approved by the State Forestry Administration and the Laboratory Animal Welfare and Ethics Committee of the Changchun Veterinary Research Institute, Chinese Academy of Agricultural Sciences (AMMS-11-2020-11), and conducted in accordance with the Guidelines for the Care and Use of Animals in Research. No anesthesia, euthanasia, or animal sacrifice was conducted in this study. The sampling provinces located in Northeast China, Northwest China, Southern China and other regions were all within the range of the East Asian-Australasian Flyway. Feces, cloacal swabs, and throat swabs were collected under the supervision of the Wild Animal Sources and Diseases Inspection Station, National Forestry and Grassland Bureau of China. All precautions were made to avoid any potential harm to the birds. The swabs were stored in physiological saline containing 20% glycerol at -80°C for a short period and transported to our laboratory on dry ice.

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Fig 1. The sampling sites used in this study.

Note. The black line on the map represents the “Aihui-Tengchong Line”. The stars indicate different sampling locations and the numbers in the upper right corner are sorted by sampling time. Sampling locations: 1. Poyang Lake, Jiangxi Province (28°N, 116°E). 2. Ningxia Hui Autonomous Region (37°N, 105°E). 3. Honghaizi Wetland Park, Inner Mongolia;/ Ordos City, Inner Mongolia (39°N, 109°E). 4. Zhaoqing, Guangdong Province (23°N, 112°E). 5. Nanning, Guangxi Province (22°N, 108°E). 6. Suichuan, Jiangxi Province (26°N, 114°E). 7. Shenzhen, Guangdong Province (22°N, 114°E). 8. Zhanjiang, Guangdong Province (21°N, 109°E). 9. Dali Lake, Inner Mongolia(42°N, 115°E).

https://doi.org/10.1371/journal.pone.0261444.g001

Isolation and identification of E. coli

The samples (n = 1387) were resuspended in physiological saline, plated on MacConkey ager (BD Biosciences, San Jose, CA, USA), and incubated overnight at 37°C. One suspected E. coli colony was selected from each plate and re-cultured on McConkey agar for subsequent analysis. The identification and antimicrobial susceptibility of presumptive E. coli isolates were determined using the NMIC/ID 4 panel of the BD Phoenix™ Automated Identification and Susceptibility Testing System (Becton, Dickinson and Company, Franklin Lakes, NJ, USA) [22]. Bacterial strains were preliminarily classified as extended spectrum beta-lactamase (ESBL)-producers by the ESBL screen flow application of the same system. The isolates found to be resistant to at least three different classes of antimicrobial agents were classified as MDR bacteria [23].

Detection of minimum inhibitory concentration (MIC)

The MIC of E. coli isolates with the drug resistant phenotype was tested on Mueller–Hinton agar (bioMérieux, Marcy-l’Étoile, France) plates using commercially available E-test strips (Liofilchem SRL, Roseto degli Abruzzi, Italy) containing different types of antibiotics. Antimicrobial susceptibility testing include aminoglycosides (amikacin and gentamicin), β-lactams (cefazolin, cefotaxime, cefepime, aztreonam, ampicillin, piperacillin, amoxicillin/clavulanic and ampicillin/sulbactam), sulfonamides (trimethoprim and sulfamethoxazole), quinolones (ciprofloxacin and levofloxacin), and tetracycline (chloramphenicol). The disk diffusion method was conducted in accordance with the 2019 Clinical and Laboratory Standards Institute guidelines. E. coli ATCC 25922 was used as a control strain.

Detection of ARGs and integrons

All isolates obtained from the examined samples were subjected to genotyping using polymerase chain reaction (PCR). The template DNA consisted of boiled lysates prepared from the isolates. The primer sequences, sizes of the amplified fragments, PCR conditions, and references are described in Table 1. For PCR amplification, each 25-μl reaction contained 1 μL of the DNA template, 12.5 μL of 2×Taq DNA Master Mix (CWBio, Beijing, China), 0.5 μL of each primer at a concentration of 10 μM, and 10.5 μL of ddH2O. PCR reactions were performed to detect the ESBL genes blaCTX-M, blaCTX-M genotype groups 1, 2, 9, and blaTEM, the tetracycline resistance genes tet(A), tet(B), tet(C), tet(D), tet(M), and tet(W), the sulfonamide resistance genes sul1, sul2, sul3, and sulA, the chloramphenicol resistance genes cat1, cmlA, and floR, the colistin resistance gene mcr-1, and the integrase genes intI1 (for class 1 integrons), intI2 (for class 2 integrons), and intI3 (for class 3 integrons). Then, the PCR products were separated by electrophoresis with a 1% agarose gel and visualized under ultraviolet light. The positive amplicons of the ARGs in most MDR strains were sequenced (Comate Bioscience Co., Ltd., Changchun, China) and the sequences were analyzed for homology using the Basic Local Alignment Search Tool (http://www.ncbi.nlm.nih.gov/BLAST/).

Statistical analyses

Statistically significant differences of isolation rate and percentage of MDR E. coli isolates among the different surveilled regions were assessed using one-way analysis of variance. All statistical analyses were conducted using IBM SPSS Statistics for Windows, version 23.0. (IBM Corporation, Armonk, NY, USA). A probability (p) value of < 0.01 was considered statistically significant.

Results

E. coli isolation

Following overnight incubation at 37°C, suspected E. coli colonies appearing with peach or reddish coloration, smooth, and wet on McConkey agar were selected for identification. The morphologic tests showed that the selected colonies were all composed of Gram-negative rod-shaped bacteria. Biochemical testing was conducted using the NMIC/ID 4 panel of the BD Phoenix™ Automated Identification and Susceptibility Testing System to obtain a more definitive identification of E. coli. Of the 1387 fecal, cloacal, and throat samples from migratory birds in six provinces in China, 478 (34.7%) E. coli isolates were obtained (Table 2). The proportions of E. coli isolates in samples collected from Zhaoqing (73.2%) and Suichuan (59.9%) were relatively high, while the proportion of E. coli isolates from Poyang Lake (17.6%) was relatively low. In terms of migratory bird species, the proportion of samples containing E. coli was higher in wading birds than swimming birds (46.2% [300/649] vs. 23.3% [149/639], respectively). With the “Aihui-Tengchong Line” as a boundary, the sampling areas were divided into northern and southern regions. The northern region included Inner Mongolia and the Ningxia Hui Autonomous Region, while all others were classified as the southern region. Although there was a significant difference in the number of samples collected between the northern and southern regions (425 vs. 962, respectively), the separation rate was similar (32.7% vs. 35.2%, respectively). The separation rate was calculated by dividing the sampling areas according to different river basins. The separation rates of the upper reaches of the Yellow River (Ningxia Hui Autonomous Region and Inner Mongolia) and the Pearl River basin (Guangdong and Guangxi provinces, respectively) were 33.1% (128/387) and 39.1% (107/274), respectively.

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Table 2. The samples and E. coli isolates used in this study.

https://doi.org/10.1371/journal.pone.0261444.t002

Antimicrobial resistance

In total, 118 (24.7%) of the isolates were resistant to 17 different antibiotics, while 22.6%, 16.7%, 14.4%, 13.8%, 11.1%, and 10.7% were resistant to tetracycline, ampicillin, piperacillin, trimethoprim/sulfamethoxazole, chloramphenicol, and colistin, respectively. However, fewer than 5% of the isolates were resistant to amikacin, gentamicin, cefazolin, cefotaxime, cefepime, aztreonam, amoxicillin-clavulanate, ampicillin/sulbactam, ciprofloxacin, levofloxacin, and moxifloxacin. All of the isolates were sensitive to imipenem, meropenem, ceftazidime, and piperacillin-tazobactam. Among the 118 resistant strains, 73 (61.9%) were resistant to at least three different classes of agents (Table 3). The proportion of MDR among all isolates was 15.3%. The most common MDR phenotype was tetracycline-ampicillin-piperacillin-trimethoprim/sulfamethoxazole-chloramphenicol (20.5%).

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Table 3. Phenotypes, ARGs, and integrase genes of the E. coli isolates from migratory wild birds.

https://doi.org/10.1371/journal.pone.0261444.t003

Among the isolates collected northwest and southeast of the Aihui-Tengchong Line, the isolation rates were uniformly distributed (32.7% and 35.2%, respectively, p = 0.034; Table 4), but there were significant differences in the proportions of MDR E. coli (8.6% vs. 18.0%, respectively, p < 0.001) and significant differences in the drug resistance rates of E. coli (21.6% vs. 26.0%, respectively, p = 0.006).

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Table 4. Statistic analysis of isolation rate and drug resistance rate among E. coli isolates from different regions.

https://doi.org/10.1371/journal.pone.0261444.t004

When classified according to different river basins, the proportions of drug-resistant E. coli carried by migratory birds from highest to lowest were as follows: Pearl River (52.3%, 56/107) > Yellow River (23.4%, 30/128) > Poyang Lake (14.7%, 11/75). The resistance rates of the isolates in the Pearl River basin to tetracycline (53/57), piperacillin (48/57), ampicillin (47/57), trimethoprim-sulfamethoxazole (40/57), and chloramphenicol (40/57) were all greater than 50%. In addition, among the isolates from the Yellow River, the resistance rates of tetracycline (24/30) and ampicillin (24/16) were more than 50%, while the resistance rates of strains from the Poyang Lake basin to different antibiotics were all less than 15%. According to species traits, the drug resistance rate of E. coli from wading birds was greater than that of swimming birds (31.3% vs. 19.5%, respectively).

ARGs and integrons

The β-lactam resistance genes blaCTX-M and blaTEM-1, the tetracycline resistance genes tet(A), tet(B), and tet(M), the sulfonamide resistance genes sul1, sul2, and sul3, the chloramphenicol resistance genes cmlA and floR, and the integrase gene intI1 were identified in most of MDR isolates. Class 1 integrons were present in 72 (61.0%) of the 118 E. coli isolates, most of which were found in MDR E. coli (65/73). Homology analysis of the sequences showed that the PCR results were not false positives (S1 Table). The detection results of drug resistance phenotypes, ARGs, and integrase genes of all MDR strains are shown in Table 3.

MIC

The E-test results showed that the highest MIC of tetracycline, ampicillin, chloramphenicol, piperacillin, amoxicillin/clavulanic acid, ampicillin/sulbactam, gentamicin, cefazolin, and amikacin was > 256 μg/ml, accounting for 5.8%, 51.2%, 35.2%, 5.8%, 0.8%, 0.8%, 6.7%, and 0.8%, respectively. The highest MIC of trimethoprim/sulfamethoxazole, ciprofloxacin, levofloxacin, and cefotaxime was > 32 μg/ml, accounting for 47.8%, 10.9%, 9.2% and 5.8%, respectively.

ESBL-producing E. coli

Among the 73 MDR isolates, 8 (11.0%) were ESBL-producing E. coli (Table 3), which included five that carried the gene encoding TEM-1 β-lactamase (D12, ZQ19, ZQ22, GN16, and GN27). All of these isolates were resistant to both ampicillin (MIC > 256 μg/mL) and cefazolin (MIC > 256 μg/mL). Most of the CTX-M-positive E. coli isolates, with the exception of ZQ23), were resistant to ampicillin (MIC > 256 μg/mL), piperacillin (MIC > 256 μg/mL or 128 μg/mL), cefazolin (MIC > 256 μg/mL), and cefotaxime (MIC > 32 μg/mL). Notably, some ESBL-producing E. coli isolates were resistant to cefepime (MIC > 16 μg/mL), but some isolates had lower MICs (YO-3, 8 μg/mL; ZQ22, 6 μg/mL; GN16, 4 μg/mL; ZQ23, 2 μg/mL; GN27, 2 μg/mL). Most of the ESBL-producing E. coli isolates (7/8) were from samples collected from the Pearl River Basin. In regard to the classification of migratory birds, most hosts of the ESBL-producing isolates (6/8) were members of the order Ciconiiformes (ZQ19, ZQ22, ZQ23, ZQ27, GN16, and GN27), and the rest were members of the orders Gruiformes (D12) and Charadriiformes (YO-3).

Discussion

E. coli is an important pathogen that causes severe infections in humans and animals, and acts as a donor and as a recipient of AGRs involving other bacteria. The main mechanisms of AMR among E. coli strains include (a) inactivation of antibiotics by producing inactivating enzymes or hydrolases; (b) changes to antibiotic target sites; (c) changes to bacterial membrane permeability; and (d) resistance associated with drug efflux pumps. E. coli has a great capacity to accumulate ARGs, mostly through horizontal gene transfer. Some mobile genetic elements seem to play a major role in the dissemination of ARGs. In general, antimicrobial resistance in E. coli is considered a major challenges in both humans and animals and must be considered as an urgent public health concern [34].

Many studies have shown that migratory birds transport antibiotic-resistant bacteria over long distances [3,35]. The East-Asian Australasian flyway is considered to be used by the most species of migratory birds [19]. Migratory birds can acquire and transmit MDR bacteria along the long migratory journey from Siberia to Australia [36]. A study conducted in Russia detected high levels of resistance to critically important antimicrobials, such as extended-spectrum cephalosporins, fluoroquinolones, colistin, and carbapenems, in wild birds [37]. The sampling sites in this study were located along this migratory route and were divided into two geographic locations by the Aihui-Tengchong Line. Almost half (43.8%) of the land southeast of the Aihui Tengchong line is inhabited by 94.1% of the population in China. The Aihui Tengchong line has also become the dividing line of urbanization level of China to some extent. In this study, the distribution of MDR E. coli was greater southeast of the Aihui-Tengchong Line than northwest. The significant difference in the drug resistance rate among the E. coli isolates collected from northern and southern China might be related to the impact of various human activities.

The significant difference in the drug resistance rate among E. coli isolates between swimming and wading birds is likely related to the difference in environments and feeding habits of migratory birds. Various birds previously identified as carriers of ESBL-producing E. coli are considerably mobile and often cross continents [38,39]. Among the eight ESBL-positive isolates, seven were from the Pearl River basin, and all were collected from wading birds. Wading birds mainly feed underwater or on underwater sediments, such as sludge, which may be related to the presence of drug resistance genes. To date, relatively few studies have investigated MDR bacteria carried by wading birds. Thus, follow-up analysis based on these results is warranted.

Overall, the prevalence of MDR E. coli was higher in the eastern and southern sampling sites than in the northwest, which was also consistent with the antibiotic emission density in China [34]. The level of drug resistance in a certain area is closely related to specific regional factors, such as local economic and agricultural development. Samples collected from the Pearl River basin had the highest level of drug resistance possibly because of the high discharge of antibiotics and industrial sewage in the region [40,41]. Notably, the high levels of antibiotics in most of the sampling sites in the Pearl River basin were due to closer proximity to human habitats or by birds feeding on human garbage [37]. Previous studies have shown that the concentrations of quinolones, macrolides, and β-lactams are much higher in the sediments of the Pearl River basin as compared to those of the Yellow River and Yangtze River basins [42,43].

Strains isolated from the Yellow River basin were most commonly resistant to tetracycline, followed by β-lactams. These results are basically consistent with those of previous studies on the content of antibiotics in drinking water in the Yellow River basin and coastal cities [42,44]. Tetracyclines were the first major category of broad-spectrum antibiotics used in humans and animals globally [45]. In general, E. coli of animal origin are often resistant to older antimicrobial agents, including tetracyclines and sulfonamides. The active efflux gene tetA and ribosomal protection gene tetM detected in this study can be transferred between bacteria through plasmids and transposons, resulting in extensive drug resistance [46]. Among all the sampling sites in this study, no drug-resistant E. coli was isolated from the Dali Lake samples, which was likely due to the distances of the sampling sites from human habitats, as these areas had lower concentrations of antibiotics in the environment and, thus, little impact on migratory birds.

The samples from the Yellow River basin not only contained more tet(A) genes, but also a certain amount of intI1. Integrons can rapidly obtain and disseminate various genes encoding resistance to antibiotics [47,48] and are classified as class 1, 2, or 3 based on the integrase gene (intI). Class 1 integrons are the most common and, thus, were monitored in this study. Interestingly, intI1 was detected in 88.7% (63/71) of MDR E. coli in the present study, which seems to support the idea that the occurrence of multidrug resistance among microbes is associated with mobile genetic elements [49].

The wetland area of Poyang Lake is among the top 10 ecological conservation areas in China and also the largest bird reserve and habitat for migratory birds in the world [50]. The isolation rate of drug-resistant bacteria from samples collected from birds around Poyang Lake was low (14.7%), which may reflect the low antibiotic emission in this area. A previous study reported that the concentrations of antibiotics around Poyang Lake are relatively moderate to below average as compared to other lakes in China [51]. Although the prevalence of drug-resistant bacteria around Poyang Lake area was low, considering the high mobility of migratory birds and the important geographical location of Poyang Lake, the levels of antibiotics in this area should be closely monitored. The dominant genes in the Poyang Lake samples were the tetracycline resistance gene tet(A), ESBL gene blaTEM-1, and sulfonamide resistance gene sul2, which is generally consistent with the findings of previous studies [52]. Sulfonamide, tetracycline, and quinolone resistance genes are the most frequently detected ARGs in lakes and rivers and, therefore, have been suggested as possible indicators of environment pollution of antibiotics [53]. In addition, tetracyclines and sulfonamides (i.e., sulfadiazine, sulfamethoxazole, sulfamethazine, and sulfachlorpyridazine) are considered as priorities for control of antibiotics [54]. However, although migratory birds in different areas were sampled, this study did not take into consideration the timing in the same environment.

Conclusion

The result of this study confirmed the relationships of migratory birds with the environment and the spread of bacterial drug resistance. Migratory wild birds carrying MDR E. coli might be act as potential transmitters of antimicrobial resistance in China. Whether the drug-resistant bacteria carried by these migratory birds can colonize the host for long periods and spread with migration remains to be further studied. The results also demonstrated regional differences in MDR E. coli carried by migratory birds in China and the drug resistance rate was closely related to the population density and antibiotic emission density of different drainage areas. Although migratory birds, as carriers of drug-resistant bacteria, have a limited influence on the environment, the long-term impact should not be ignored. Recent works have shown that even treated waste can impact the acquisition of ARGs by avian wildlife [36]. Therefore, it is not only necessary to pay attention to the important role of migratory birds in the transmission of drug-resistant bacteria, but also to reduce the use of antibiotics in order to fundamentally reduce the transmission of ARGs.

Supporting information

S1 Table. The sequences of the ARGs of the MDR E. coli strains.

https://doi.org/10.1371/journal.pone.0261444.s001

(DOCX)

Acknowledgments

We are grateful to the members of the Wild Animal Sources and Diseases Inspection Station, National Forestry and Grassland Bureau of China, for help with the sampling.

References

  1. 1. Berendonk TU, Manaia CM, Merlin C, Fatta-Kassinos D, Cytryn E, Walsh F, et al. Tackling antibiotic resistance: the environmental framework. Nat Rev Microbiol. 2015;13(5):310–7. pmid:25817583
  2. 2. Arnold KE, Williams NJ, Bennett M. ’Disperse abroad in the land’: the role of wildlife in the dissemination of antimicrobial resistance. Biol Lett. 2016;12(8). pmid:27531155
  3. 3. Stedt J, Bonnedahl J, Hernandez J, McMahon BJ, Hasan B, Olsen B, et al. Antibiotic resistance patterns in Escherichia coli from gulls in nine European countries. Infect Ecol Epidemiol. 2014;4. pmid:24427451
  4. 4. Chung DM, Ferree E, Simon DM, Yeh PJ. Patterns of Bird-Bacteria Associations. Ecohealth. 2018;15(3):627–41. pmid:29948415
  5. 5. Smith JL, Fratamico PM, Gunther NW. Extraintestinal pathogenic Escherichia coli. Foodborne Pathog Dis. 2007;4(2):134–63. pmid:17600482
  6. 6. Gomes TA, Elias WP, Scaletsky IC, Guth BE, Rodrigues JF, Piazza RM, et al. Diarrheagenic Escherichia coli. Braz J Microbiol. 2016;47 Suppl 1:3–30.
  7. 7. Ochoa SA, Cruz-Cordova A, Luna-Pineda VM, Reyes-Grajeda JP, Cazares-Dominguez V, Escalona G, et al. Multidrug- and Extensively Drug-Resistant Uropathogenic Escherichia coli Clinical Strains: Phylogenetic Groups Widely Associated with Integrons Maintain High Genetic Diversity. Front Microbiol. 2016;7:2042. pmid:28066364
  8. 8. Algammal AM, Hetta HF, Batiha GE, Hozzein WN, El Kazzaz WM, Hashem HR, et al. Virulence-determinants and antibiotic-resistance genes of MDR-E. coli isolated from secondary infections following FMD-outbreak in cattle. Sci Rep. 2020;10(1):19779.
  9. 9. Klima CL, Zaheer R, Cook SR, Booker CW, Hendrick S, Alexander TW, et al. Pathogens of bovine respiratory disease in North American feedlots conferring multidrug resistance via integrative conjugative elements. J Clin Microbiol. 2014;52(2):438–48. pmid:24478472
  10. 10. Makharita RR, El-Kholy I, Hetta HF, Abdelaziz MH, Hagagy FI, Ahmed AA, et al. Antibiogram and Genetic Characterization of Carbapenem-Resistant Gram-Negative Pathogens Incriminated in Healthcare-Associated Infections. Infect Drug Resist. 2020;13:3991–4002. pmid:33177849
  11. 11. Algammal AM, Hetta HF, Alkhalifah DHH, Hozzein WN, Batiha GE, El Nahhas N, et al. Methicillin-Resistant Staphylococcus aureus (MRSA): One Health Perspective Approach to the Bacterium Epidemiology, Virulence Factors, Antibiotic-Resistance, and Zoonotic Impact. Infection and Drug Resistance. 2020;13:3255–65. pmid:33061472
  12. 12. Hernando-Amado S, Coque TM, Baquero F, Martinez JL. Defining and combating antibiotic resistance from One Health and Global Health perspectives. Nat Microbiol. 2019;4(9):1432–42. pmid:31439928
  13. 13. Radhouani H, Silva N, Poeta P, Torres C, Correia S, Igrejas G. Potential impact of antimicrobial resistance in wildlife, environment and human health. Front Microbiol. 2014;5:23. pmid:24550896
  14. 14. Cao J, Hu Y, Liu F, Wang Y, Bi Y, Lv N, et al. Metagenomic analysis reveals the microbiome and resistome in migratory birds. Microbiome. 2020;8(1):26. pmid:32122398
  15. 15. Bonnedahl J, Drobni M, Gauthier-Clerc M, Hernandez J, Granholm S, Kayser Y, et al. Dissemination of Escherichia coli with CTX-M type ESBL between humans and yellow-legged gulls in the south of France. PLoS One. 2009;4(6):e5958. pmid:19536298
  16. 16. Alcala L, Alonso CA, Simon C, Gonzalez-Esteban C, Oros J, Rezusta A, et al. Wild Birds, Frequent Carriers of Extended-Spectrum beta-Lactamase (ESBL) Producing Escherichia coli of CTX-M and SHV-12 Types. Microb Ecol. 2016;72(4):861–9. pmid:26687342
  17. 17. Zurfluh K, Albini S, Mattmann P, Kindle P, Nuesch-Inderbinen M, Stephan R, et al. Antimicrobial resistant and extended-spectrum beta-lactamase producing Escherichia coli in common wild bird species in Switzerland. Microbiologyopen. 2019;8(11):e845. pmid:31006991
  18. 18. Lin Y, Dong X, Sun R, Wu J, Tian L, Rao D, et al. Migratory birds-one major source of environmental antibiotic resistance around Qinghai Lake, China. Sci Total Environ. 2020;739:139758. pmid:32540654
  19. 19. Yong DL, Liu Y, Low BW, EspaÑOla CP, Choi C-Y, Kawakami K. Migratory songbirds in the East Asian-Australasian Flyway: a review from a conservation perspective. Bird Conservation International. 2015;25(1):1–37.
  20. 20. Du J, Luo J, Huang J, Wang C, Li M, Wang B, et al. Emergence of Genetic Diversity and Multi-Drug Resistant Campylobacter jejuni From Wild Birds in Beijing, China. Front Microbiol. 2019;10:2433. pmid:31736887
  21. 21. Lin Y, Dong X, Wu J, Rao D, Zhang L, Faraj Y, et al. Metadata Analysis of mcr-1-Bearing Plasmids Inspired by the Sequencing Evidence for Horizontal Transfer of Antibiotic Resistance Genes Between Polluted River and Wild Birds. Front Microbiol. 2020;11:352. pmid:32210943
  22. 22. Tong P, Sun Y, Ji X, Du X, Guo X, Liu J, et al. Characterization of antimicrobial resistance and extended-spectrum beta-lactamase genes in Escherichia coli isolated from chickens. Foodborne Pathog Dis. 2015;12(4):345–52. pmid:25785885
  23. 23. Magiorakos AP, Srinivasan A, Carey RB, Carmeli Y, Falagas ME, Giske CG, et al. Multidrug-resistant, extensively drug-resistant and pandrug-resistant bacteria: an international expert proposal for interim standard definitions for acquired resistance. Clinical Microbiology and Infection. 2012;18(3):268–81. pmid:21793988
  24. 24. Jemima SA, Verghese S. Multiplex PCR for bla(CTX-M) & bla(SHV) in the extended spectrum beta lactamase (ESBL) producing Gram-negative isolates. Indian J Med Res. 2008;128(3):313–7. pmid:19052344
  25. 25. Lin CF, Hsu SK, Chen CH, Huang JR, Lo HH. Genotypic detection and molecular epidemiology of extended-spectrum beta-lactamase-producing Escherichia coli and Klebsiella pneumoniae in a regional hospital in central Taiwan. J Med Microbiol. 2010;59(Pt 6):665–71. pmid:20150317
  26. 26. Eckert C, Gautier V, Saladin-Allard M, Hidri N, Verdet C, Ould-Hocine Z, et al. Dissemination of CTX-M-type beta-lactamases among clinical isolates of Enterobacteriaceae in Paris, France. Antimicrob Agents Chemother. 2004;48(4):1249–55. pmid:15047527
  27. 27. Sengelov G, Agerso Y, Halling-Sorensen B, Baloda SB, Andersen JS, Jensen LB. Bacterial antibiotic resistance levels in Danish farmland as a result of treatment with pig manure slurry. Environ Int. 2003;28(7):587–95. pmid:12504155
  28. 28. Ng LK, Martin I, Alfa M, Mulvey M. Multiplex PCR for the detection of tetracycline resistant genes. Mol Cell Probes. 2001;15(4):209–15. pmid:11513555
  29. 29. Aminov RI, Garrigues-Jeanjean N, Mackie RI. Molecular ecology of tetracycline resistance: development and validation of primers for detection of tetracycline resistance genes encoding ribosomal protection proteins. Appl Environ Microbiol. 2001;67(1):22–32. pmid:11133424
  30. 30. Luo Y, Mao DQ, Rysz M, Zhou DX, Zhang HJ, Xu L, et al. Trends in Antibiotic Resistance Genes Occurrence in the Haihe River, China. Environ Sci Technol. 2010;44(19):7220–5. pmid:20509603
  31. 31. Zhang AY, Wang HN, Tian GB, Zhang Y, Yang X, Xia QQ, et al. Phenotypic and genotypic characterisation of antimicrobial resistance in faecal bacteria from 30 Giant pandas. Int J Antimicrob Agents. 2009;33(5):456–60. pmid:19168331
  32. 32. Liu Y-Y, Wang Y, Walsh TR, Yi L-X, Zhang R, Spencer J, et al. Emergence of plasmid-mediated colistin resistance mechanism MCR-1 in animals and human beings in China: a microbiological and molecular biological study. The Lancet Infectious Diseases. 2016;16(2):161–8. pmid:26603172
  33. 33. Su J, Shi L, Yang L, Xiao Z, Li X, Yamasaki S. Analysis of integrons in clinical isolates of Escherichia coli in China during the last six years. FEMS Microbiol Lett. 2006;254(1):75–80. pmid:16451182
  34. 34. Poirel L, Madec JY, Lupo A, Schink AK, Kieffer N, Nordmann P, et al. Antimicrobial Resistance in Escherichia coli. Microbiology Spectrum. 2018;6(4).
  35. 35. Bauer S, Hoye BJ. Migratory animals couple biodiversity and ecosystem functioning worldwide. Science. 2014;344(6179):1242552. pmid:24700862
  36. 36. Marcelino VR, Wille M, Hurt AC, Gonzalez-Acuna D, Klaassen M, Schlub TE, et al. Meta-transcriptomics reveals a diverse antibiotic resistance gene pool in avian microbiomes. BMC Biol. 2019;17(1):31. pmid:30961590
  37. 37. Mukerji S, Stegger M, Truswell AV, Laird T, Jordan D, Abraham RJ, et al. Resistance to critically important antimicrobials in Australian silver gulls (Chroicocephalus novaehollandiae) and evidence of anthropogenic origins. J Antimicrob Chemother. 2019;74(9):2566–74. pmid:31287537
  38. 38. Radimersky T, Frolkova P, Janoszowska D, Dolejska M, Svec P, Roubalova E, et al. Antibiotic resistance in faecal bacteria (Escherichia coli, Enterococcus spp.) in feral pigeons. J Appl Microbiol. 2010;109(5):1687–95. pmid:20602656
  39. 39. Guenther S, Ewers C, Wieler LH. Extended-Spectrum Beta-Lactamases Producing E. coli in Wildlife, yet Another Form of Environmental Pollution? Front Microbiol. 2011;2:246. pmid:22203818
  40. 40. Yang JF, Ying GG, Zhao JL, Tao R, Su HC, Liu YS. Spatial and seasonal distribution of selected antibiotics in surface waters of the Pearl Rivers, China. J Environ Sci Health B. 2011;46(3):272–80. pmid:21462055
  41. 41. Liang X, Chen B, Nie X, Shi Z, Huang X, Li X. The distribution and partitioning of common antibiotics in water and sediment of the Pearl River Estuary, South China. Chemosphere. 2013;92(11):1410–6. pmid:23628172
  42. 42. Guan Y, Wang B, Gao Y, Liu W, Zhao X, Huang X, et al. Occurrence and Fate of Antibiotics in the Aqueous Environment and Their Removal by Constructed Wetlands in China: A review. Pedosphere. 2017;27(1):42–51.
  43. 43. Pan M, Chu LM. Occurrence of antibiotics and antibiotic resistance genes in soils from wastewater irrigation areas in the Pearl River Delta region, southern China. Sci Total Environ. 2018;624:145–52. pmid:29258031
  44. 44. Lu J, Tian Z, Yu J, Yang M, Zhang Y. Distribution and Abundance of Antibiotic Resistance Genes in Sand Settling Reservoirs and Drinking Water Treatment Plants across the Yellow River, China. Water. 2018;10(3).
  45. 45. Srinivasan V, Gillespie BE, Nguyen LT, Headrick SI, Murinda SE, Oliver SP. Characterization of antimicrobial resistance patterns and class 1 integrons in Escherichia coli O26 isolated from humans and animals. Int J Antimicrob Agents. 2007;29(3):254–62. pmid:17390416
  46. 46. Zhang T, Wang CG, Lv JC, Wang RS, Zhong XH. Survey on tetracycline resistance and antibiotic-resistant genotype of avian Escherichia coli in North China. Poult Sci. 2012;91(11):2774–7. pmid:23091131
  47. 47. Gillings MR. Integrons: past, present, and future. Microbiol Mol Biol Rev. 2014;78(2):257–77. pmid:24847022
  48. 48. Zhang S, Yang H, Rehman MU, Yang K, Dong M, Yang J, et al. Class 1 integrons as predominant carriers in Escherichia coli isolates from waterfowls in Hainan, China. Ecotoxicol Environ Saf. 2019;183:109514. pmid:31394374
  49. 49. Martinez JL. Environmental pollution by antibiotics and by antibiotic resistance determinants. Environ Pollut. 2009;157(11):2893–902. pmid:19560847
  50. 50. Wu X, Lv M, Jin Z, Michishita R, Chen J, Tian H, et al. Normalized difference vegetation index dynamic and spatiotemporal distribution of migratory birds in the Poyang Lake wetland, China. Ecological Indicators. 2014;47:219–30.
  51. 51. Ding H, Wu Y, Zhang W, Zhong J, Lou Q, Yang P, et al. Occurrence, distribution, and risk assessment of antibiotics in the surface water of Poyang Lake, the largest freshwater lake in China. Chemosphere. 2017;184:137–47. pmid:28586654
  52. 52. Liang X, Guan F, Chen B, Luo P, Guo C, Wu G, et al. Spatial and seasonal variations of antibiotic resistance genes and antibiotics in the surface waters of Poyang Lake in China. Ecotoxicol Environ Saf. 2020;196:110543. pmid:32278139
  53. 53. Liu X, Lu S, Guo W, Xi B, Wang W. Antibiotics in the aquatic environments: A review of lakes, China. Sci Total Environ. 2018;627:1195–208. pmid:30857084
  54. 54. Chen H, Jing L, Teng Y, Wang J. Characterization of antibiotics in a large-scale river system of China: Occurrence pattern, spatiotemporal distribution and environmental risks. Sci Total Environ. 2018;618:409–18. pmid:29132008