Abstract
There is a lack of an established antimicrobial resistance (AMR) surveillance system in animal welfare centers. Therefore, the AMR prevalence in shelter dogs is rarely known. Herein, we conducted a survey in animal shelters in Chiba and Kanagawa prefectures, in the Kanto Region, Japan, to ascertain the AMR status of Escherichia coli (E. coli) prevalent in shelter dogs. E. coli was detected in the fecal samples of all 61 and 77 shelter dogs tested in Chiba and Kanagawa, respectively. The AMR was tested against 20 antibiotics. E. coli isolates derived from 16.4% and 26.0% of samples from Chiba and Kanagawa exhibited resistance to at least one antibiotic, respectively. E. coli in samples from Chiba and Kanagawa prefectures were commonly resistant to ampicillin, piperacillin, streptomycin, kanamycin, tetracycline, and nalidixic acid; that from the Kanagawa Prefecture to cefazolin, cefotaxime, aztreonam, ciprofloxacin, and levofloxacin and that from Chiba Prefecture to chloramphenicol and imipenem. Multidrug-resistant bacteria were detected in 18 dogs from both regions; β-lactamase genes (blaTEM, blaDHA-1, blaCTX-M-9 group CTX-M-14), quinolone-resistance protein genes (qnrB and qnrS), and mutations in quinolone-resistance-determining regions (gyrA and parC) were detected. These results could partially represent the AMR data in shelter dogs in the Kanto Region of Japan.
Subject terms: Policy and public health in microbiology, Zoology
Introduction
Companion animals may be reservoirs and spillover hosts for resistant bacteria1–5, raising concerns of health risks posed by resistant bacteria harbored by companion animals to humans6–9. Infection with drug-resistant bacteria not only prolongs treatment periods but is also life-threatening for the elderly and individuals with a weakened immune system. A global action plan concerning bacterial drug resistance was adopted at the World Health Organization general meeting in 201510. Subsequently, in 2016, the Japanese Government presented the antimicrobial drug resistance (AMR) action plan11. In 2019, the United Nations Interagency Coordination Group on Antimicrobial Resistance released a report calling for urgent action to avoid an AMR crisis12. The report included the following aims: (a) monitoring AMR and administration of antimicrobial drugs, (b) identification of indicators of change in drug resistance, and (c) further expansion and development of the action plan. To accomplish these aims, AMR surveillance in several different fields is required, including human and veterinary medicine, agriculture, animal husbandry, and wild animal populations.
In Japan, sheltered dogs and cats should undergo microbiological testing for parasites, protozoans, and viruses before adoption13; however, an AMR surveillance system for dogs and cats in shelters has not been established. Therefore, the prevalence of AMR in shelter dogs is rarely known. In this study, we conducted a survey in two animal shelter centers in the Kanto Region to ascertain the status of AMR in Escherichia coli carriage in shelter dogs.
As medicines for companion animals in Japan include antibiotic agents specific for both animals and humans, various agents must be tested. In Japan, public and large-scale AMR surveys in livestock and human medicine are ongoing, including the Japanese Veterinary Antimicrobial Resistance Monitoring System (JVARM) managed by the Ministry of Agriculture, Forestry and Fisheries of Japan (MAFF), and the Japan Nosocomial Infections Surveillance (JANIS) managed by the Japan Ministry of Health, Labor, and Welfare. We considered that it is desirable to employ the same antibacterial agents that are being used by the JVARM and JANIS for AMR monitoring in this study. These results will make up for the lack of AMR data in shelter dogs in Japan.
Results
Antimicrobial drug susceptibility
E. coli was detected in the feces of all 138 dogs tested (61 from Chiba, 77 from Kanagawa). The following 20 antibiotics were selected for monitoring drug resistance in E. coli: ampicillin (ABPC), piperacillin (PIPC), tazobactam/piperacillin (TAZ/PIPC), cefazolin (CEZ), cefmetazole (CMZ), cefotaxime (CTX), ceftazidime (CAZ), cefepime (CFPM), aztreonam (AZT), imipenem (IPM), meropenem (MEPM), streptomycin (SM), kanamycin (KM), gentamicin (GM), amikacin (AMK), tetracycline (TC), ciprofloxacin (CPFX), levofloxacin (LVFX), nalidixic acid (NA), and chloramphenicol (CP). The breakpoint of resistance was based on Clinical and Laboratory Standards Institute (CLSI) M100-S24 criteria14.
Drug-susceptibility testing in the 61 E. coli isolates from Chiba revealed that the isolates derived from 10 dogs (16.4%) were resistant to at least one antibacterial drug among ABPC, PIPC, IPM, SM, KM, TC, NA, and CP (Table 1). None of the isolates exhibited resistance to TAZ/PIPC, CEZ, CMZ, CTX, CAZ, CFPM, AZT, MEPM, GM, AMK, CPFX, or LVFX. Some isolates exhibited intermediate resistance to CEZ, AZT, MEPM, AMK, and LVFX.
Table 1.
Antimicrobial agent | Monitoring in JVARM and/or JANIS | CLSI breakpoint (mm)a | AMR (%) | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
This study | Previous study | |||||||||||||
Chiba (n = 61) | Kanagawa (n = 77) | healthy dogsb | ill dogsb | |||||||||||
JVARM | JANIS | I | R | I | 95% CI | R | 95% CI | I | 95% CI | R | 95% CI | R (%) | R (%) | |
Ampicillin | ○ | ○ | 14–16 | ≤ 13 | 1.6 | 0–9.6 | 11.5 | 5.4–22.1 | 6.5 | 2.5–14.7 | 11.7 | 6.1–21.0 | 33.8 | 55.3 |
Piperacillin | ○ | 18–20 | ≤ 17 | 1.6 | 0–9.6 | 9.8 | 4.2–20.2 | 2.6 | 0.2–9.5 | 7.8 | 3.3–16.3 | N | N | |
Tazobactam/Piperacillin | ○ | 18–20 | ≤ 17 | 0.0 | 0.0 | 1.3 | 0–7.7 | 0.0 | N | N | ||||
Cefazolin | ○ | ○ | 20–22 | ≤ 19 | 21.3 | 12.8–33.3 | 0.0 | 29.9 | 20.8–40.9 | 7.8 | 3.3–16.3 | 19.2 | 31.2 | |
Cefmetazole | ○ | 13–15 | ≤ 12 | 0.0 | 0.0 | 1.3 | 0–7.7 | 0.0 | N | N | ||||
Cefotaxime | ○ | ○ | 23–25 | ≤ 22 | 0.0 | 0.0 | 5.2 | 1.6–13.0 | 1.3 | 0–7.7 | 13.2 | 26.1 | ||
Ceftazidime | ○ | 18–20 | ≤ 17 | 0.0 | 0.0 | 3.9 | 0.9–11.3 | 0.0 | N | N | ||||
Cefepime | ○ | − | ≤ 18 | - | 0.0 | - | 0.0 | N | N | |||||
Aztreonam | ○ | 18–20 | ≤ 17 | 1.6 | 0–9.6 | 0.0 | 0.0 | 2.6 | 0.2–9.5 | N | N | |||
Imipenem | ○ | 20–22 | ≤ 19 | 0.0 | 1.6 | 0–9.6 | 1.3 | 0–7.7 | 0.0 | N | N | |||
Meropenem | ○ | 20–22 | ≤ 19 | 1.6 | 0–9.6 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | ||||
Streptomycin | ○ | 12–14 | ≤ 11 | 29.5 | 19.5–42.0 | 4.9 | 1.1–14.0 | 66.2 | 55.1–75.8 | 13.0 | 7.0–22.5 | 19.2 | 29.6 | |
Kanamycin | ○ | 14–17 | ≤ 13 | 16.4 | 9.0–27.8 | 4.9 | 1.1–14.0 | 16.9 | 10.0–26.9 | 2.6 | 0.2–9.5 | 5.3 | 6.5 | |
Gentamicin | ○ | 13–14 | ≤ 12 | 0.0 | 0.0 | 1.3 | 0–7.7 | 0.0 | 3.3 | 14.1 | ||||
Amikacin | ○ | 15–16 | ≤ 14 | 4.9 | 1.1–14.0 | 0.0 | 2.6 | 0.2–9.5 | 0.0 | N | N | |||
Tetracycline | ○ | 12–14 | ≤ 11 | 1.6 | 0–9.6 | 9.8 | 4.2–20.2 | 0.0 | 2.6 | 0.2–9.5 | 16.6 | 28.1 | ||
Ciprofloxacin | ○ | 16–20 | ≤ 15 | 0.0 | 0.0 | 5.2 | 1.6–13.0 | 2.6 | 0.2–9.5 | 18.5 | 43.2 | |||
Levofloxacin | ○ | 0.25–1 | ≥ 2 | 3.3 | 0.2–11.8 | 0.0 | 7.8 | 3.3–16.3 | 2.6 | 0.2–9.5 | N | N | ||
Nalidixic acid | ○ | 14–18 | ≤ 13 | 3.3 | 0.2–11.8 | 1.6 | 0–9.6 | 0.0 | 5.2 | 1.6–13.0 | 27.8 | 61.8 | ||
Chloramphenicol | ○ | 13–17 | ≤ 12 | 1.6 | 0–9.6 | 6.6 | 2.1–16.1 | 1.3 | 0–7.7 | 0.0 | 4.6 | 12.6 |
95% CI 95% confidence interval, I intermediate, R resistant, N not subject to survey, JVARM Japanese Veterinary Antimicrobial Resistance Monitoring System, JANIS Japan Nosocomial Infections Surveillance, CLSI Clinical and Laboratory Standards Institute, AMR antimicrobial resistance.
aDisk diffusion zone diameter interpretive criteria (mm). Only LVFX was tested using the broth microdilution method; minimum inhibitory concentration (MIC) interpretive criteria (μg/mL).
bFY 2018 antimicrobial resistance monitoring survey of bacteria derived from healthy companion animals (dogs and cats), Ministry of Agriculture, Forestry and Fisheries of Japan (MAFF).
Drug-susceptibility testing in the 77 E. coli isolates from Kanagawa revealed that the isolates derived from 20 dogs (26.0%) were resistant to at least one antibacterial drug among ABPC, PIPC, CEZ, CTX, AZT, SM, KM, TC, CPFX, and NA (Table 1). None of the isolates exhibited resistance to TAZ/PIPC, CMZ, CAZ, CFPM, IPM, MEPM, GM, AMK, LVFX, or CP. Some isolates exhibited intermediate resistance to TAZ/PIPC, CMZ, CAZ, IPM, GM, AMK, LVFX, and CP.
ABPC-, PIPC-, SM-, KM-, TC-, and NA-resistant E. coli were commonly found in dogs from Chiba and Kanagawa prefectures. CEZ-, CTX-, AZT-, and fluoroquinolone (CPFX and LVFX)-resistant E. coli were found only in Kanagawa Prefecture. CP- and IPM-resistant E. coli were found only in Chiba Prefecture.
The chi-square test of sex-related differences in the ratio of susceptible (S), intermediate (I), and resistant (R) results of the antimicrobial susceptibility test revealed no significant differences between males and females for any of the antibacterial agents.
Multidrug-resistant E. coli was detected in 18 dogs, with resistance to as many as six drugs in 1 dog and five drugs in 5 dogs. The patterns of multidrug resistance are shown in Table 2a.
Table 2.
Dog sample number | ||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Chiba | Kanagawa | |||||||||||||||||
16C1 | 16C26 | 16C37 | 16C42 | 16C43 | 16C44 | 17C2 | 17C16 | 16K18 | 16K21 | 17K2 | 17K8 | 17K12 | 17K20 | 17K27 | 17K36 | 17K49 | 17K55 | |
(a) Pattern of multi-drug resistance in E. coli | ||||||||||||||||||
Antibiotic | ||||||||||||||||||
Ampicillin | R | R | R | R | R | R | R | R | R | R | R | R | R | R | R | R | ||
Piperacillin | I | R | R | R | R | R | R | I | I | R | R | R | R | R | ||||
Tazobactam/Piperacillin | I | |||||||||||||||||
Cefazolin | I | I | I | I | R | R | R | R | R | I | I | I | I | R | ||||
Cefmetazole | I | |||||||||||||||||
Cefotaxime | R | I | I | I | ||||||||||||||
Ceftazidime | I | I | I | |||||||||||||||
Cefepime | ||||||||||||||||||
Aztreonam | I | R | R | |||||||||||||||
Imipenem | R | |||||||||||||||||
Meropenem | I | |||||||||||||||||
Streptomycin | I | I | R | R | R | I | I | I | I | R | R | R | I | |||||
Kanamycin | R | R | R | R | I | |||||||||||||
Gentamicin | I | |||||||||||||||||
Amikacin | ||||||||||||||||||
Tetracycline | R | R | R | R | R | R | R | |||||||||||
Ciprofloxacin | R | I | R | |||||||||||||||
Levofloxacin | I | I | R | I | R | |||||||||||||
Nalidixic acid | R | R | R | |||||||||||||||
Chloramphenicol | R | R | R | R | ||||||||||||||
(b) Detected antimicrobial resistance genes in E. coli | ||||||||||||||||||
Resistance mechanism | ||||||||||||||||||
β-lactamase | N.T | bla TEM | bla TEM | bla TEM | N.D | bla TEM | N.D | N.D |
bla CTX-M-9 group CTX-M-14 |
bla DHA-1 | N.D | N.D | bla TEM | bla TEM | bla TEM | N.D | bla TEM | bla TEM |
Aminoglycoside resistance 16S rRNA methylases | N.T | N.D | N.D | N.D | N.D | N.D | N.D | N.D | N.D | N.D | N.D | N.D | N.D | N.D | N.D | |||
Aminoglycoside modifying enzyme | N.T | N.D | N.D | N.D | N.D | N.D | N.D | N.D | N.D | N.D | N.D | N.D | N.D | N.D | N.D | |||
Mutation of the quinolone resistance-determining regions | N.D | N.D | N.D |
83S → L, 87D → Y in gyrA 80S → I in parC |
N.D | N.D |
83S → L, 87D → N in gyrA 80S → I in parC |
|||||||||||
Quinolone resistance protein | qnrS | qnrS | qnrB | N.D | N.D | N.D | N.D |
I intermediate, R resistant, N.D. not detected, N.T. not tested.
Detection of antimicrobial resistance genes
Drug-resistance genes detected in E. coli isolates that showed multidrug resistance are shown in Table 2b. In 17 isolates (originally 18 samples, but one sample could not be tested due to poor growth) that showed resistance or intermediate resistance to any of the β-lactams reagents, blaTEM (9 samples) and blaDHA-1 (1 sample) were detected. In five third-generation cephalosporin (CTX and CAZ)-resistant or intermediate-resistant isolates, the blaCTX-M-9 group CTX-M-14 (1 sample) was detected. No carbapenemase gene was detected in isolates resistant to IPM. No aminoglycoside resistant 16S rRNA methylases genes and aminoglycoside-modifying enzyme genes were detected in 14 aminoglycoside (SM, KM, and GM)-resistant or intermediate-resistant isolates (originally 15 samples, but one sample could not be tested due to poor growth). In seven quinolone-resistant or intermediate-resistant isolates, qnrB (1 sample) and qnrS (2 samples) were detected. Mutations in quinolone-resistance-determining regions (QRDR), 83 serine (S) and 87 aspartic acid (D) of the gyrA sequence and 80S of the parC sequence (2 samples), were detected. The first sample showed mutations of 83S to leucine (L) and 87D to tyrosine (Y) in gyrA and 80S to isoleucine (I) in parC. In the second sample, 83S was mutated to L and 87D was mutated to asparagine (N) in gyrA, and 80S to isoleucine (I) in parC. blaTEM was commonly detected in Chiba and Kanagawa prefectures. qnrB and qnrS were detected only in Chiba Prefecture, and the blaCTX-M-9 group CTX-M-14, blaDHA-1, and quinolone-resistant mutations were detected only in Kanagawa Prefecture.
Discussion
Drug-resistant E. coli was detected in some of the shelter dogs surveyed in this study. In addition, resistance genes related to the resistance mechanism were identified. First, we compared drug-susceptibility testing results with data available in Japan. Most of the canine AMR data currently reported in Japan are from animal patients who visited veterinary clinics for the treatment of some diseases. Other than those released by the MAFF in 202015, almost no AMR survey data are available for non-patient companion animals. Table 1 compares the results of our study with the drug-resistance rates of dog rectal swab-isolated E. coli reported by the MAFF. The MAFF survey also included dogs taken to a veterinary hospital in 2017 (ill dogs) and 2018 (healthy dogs), which overlaps with our survey period (2016–2017). Regarding common antibacterial agents tested in our study and the MAFF survey (ABPC, CEZ, CTX, MEPM, SM, KM, GM, TC, CPFX, NA, and CP), the antibiotic resistance rate observed in sheltered dogs was mostly lower than that in healthy dogs in the MAFF survey. In the samples obtained from Chiba, the 95% confidence interval (95% CI) range of the antibiotic resistance rates against ABPC, CEZ, CTX, MEPM, SM, GM, CPFX, and NA in sheltered dogs was lower than that in healthy dogs in the MAFF survey (Table 1). The 95% CI range of the resistance rates against KM, TC, and CP in sheltered dogs overlapped with that in healthy dogs in the MAFF survey. In the samples obtained from Kanagawa, the 95% CI range of the antibiotic resistance rates against ABPC, CEZ, CTX, MEPM, GM, TC, CPFX, NA, and CP in sheltered dogs was lower than that in healthy dogs in the MAFF survey (Table 1). The 95% CI range of the resistance rates against KM and SM in sheltered dogs overlapped with that in healthy dogs in the MAFF survey. In the MAFF survey, the resistance rates in healthy dogs were lower than those in sick dogs15. The 95% CI range of the resistance rates against KM and CP in the samples from Chiba and against KM in the samples from Kanagawa overlapped with that in the sick dogs in the MAFF survey (Table 1). The use of β-lactam antibiotics and fluoroquinolone antibiotics in veterinary medicine has been reported to promote an increase in the number of drug-resistant E. coli isolates1,16. Sheltered dogs include abandoned and stray dogs; presumably, these dogs are less exposed to veterinary medical facilities and the administration of antibacterial drugs than dogs in households. This may explain the lower drug-resistance rate observed in our study than in the MAFF survey.
Next, the results of the identification of drug-resistance genes were compared with data from Japan and other countries. Several types of β-lactamase genes, QRDR mutations, and quinolone-resistant protein genes were detected in E. coli from shelter dogs. β-Lactamase genes, blaTEM, blaCTX-MTX-M-14, and blaDHA, were detected. These are genes that are reportedly detected in the intestinal bacteria of humans, farm animals, and companion animals17–21. A 2016 study of sheltered dogs and cats in Osaka, Japan, reported that many of these resistance genes are detected in cephalosporin-resistant E. coli22. As quinolone-resistance mechanisms, QRDR mutations and quinolone-resistance proteins (qnrB and qnrS) were detected. Furthermore, β-lactamase genes, which are also involved in resistance mechanisms, have been detected in humans, farm animals, and companion animals17,23–25. The quinolone-resistant mechanisms have been predominantly detected in a survey of E. coli in shelter dogs and cats in Osaka from 2016 to 201726. Therefore, the drug-resistance mechanism in E. coli detected in this study was of the type that has been reportedly detected in the intestinal bacteria of dogs in Japan and abroad.
In conclusion, the rates of resistance to various antibiotics among the E. coli isolated from shelter dogs in the animal welfare centers in Chiba and Kanagawa prefectures were mostly lower than those in the healthy and sick domestic dogs in Japan, surveyed at almost the same time15. The detected resistance genes presented the same trend as those reported in shelter dogs in the same years in Japan22,26. As several studies have already mentioned, drug-resistant bacteria in companion animals can be a health risk to humans6–9. AMR surveillance in companion animals, including shelter dogs, for which there is a lack of data, needs to be widely conducted to accurately assess the AMR prevalence in Japan. The present results will make up for the lack of AMR data in shelter dogs.
Methods
Sampling of dog feces
This study was conducted in accordance with the principles of the ARRIVE guidelines. Feces from sheltered dogs were used, and no invasive treatment was performed on the dogs; therefore, the study did not require ethics approval.
The required sample size (n) was calculated at a 95% confidence level using the formula and parameters below. The proportion of AMR (P) in the population was estimated as 10%, based on the results of the preliminary survey. The margin of error (δ) was 0.08. The required sample size was estimated to be 54.
Between 2016 and 2017, we collected feces from 61 and 77 dogs housed in two public animal welfare centers in Chiba and Kanagawa prefectures, in the Kanto Region of Japan. None of the dogs exhibited any specific veterinary health abnormalities in their medical data. The age was not known for most animals, but samples were generally collected from adult dogs. In Chiba, the number of female and male dogs was 23 and 34, respectively; sex information was not available for 4 dogs. In Kanagawa, the number of female and male dogs was 25 and 38, respectively; sex information was not available for 14 dogs. In Chiba, the number of dogs belonging to different breeds was as follows: 45 hybrids, 6 Shiba Inu, 3 Beagle, 2 Toy Poodle, and 2 other breeds; breed information was not available for 3 dogs. In Kanagawa, it was: 17 hybrids, 8 Shiba Inu, 6 Toy Poodle, 5 Beagle, 4 Miniature Dachshund, and 23 other breeds; breed information was not available for 14 dogs. In Chiba, the dogs were introduced into animal welfare centers for the following reasons: 51 dogs were captured, including stray dogs; 5 dogs were abandoned; and information was not available for 5 dogs. In Kanagawa, the reasons were: 17 dogs were lost; 2 dogs were abandoned; and information was not available for 58 dogs.
The fecal samples were collected using a sterilized swab from naturally excreted feces. The portion in contact with the ground was not collected. Duplicate samples from the same animal were not collected. The fecal samples were preserved in Carry-Blair transport medium (Nissui Pharmaceutical Co., Ltd., Tokyo, Japan), stored at 4 °C, and transported to the laboratory for E. coli culture immediately.
Detection of E. coli
The fecal samples were resuspended in sterilized saline solution and smeared onto an XM-G agar plate (Nissui Pharmaceutical Co., Ltd.) using a platinum loop. The plates were cultured under aerobic conditions at 35 °C for 20 h. After incubation, β-glucuronidase-positive colonies (a biochemical characteristic of E. coli) were selected and purified in nutrient agar (Eiken Chemical Co., Ltd., Tokyo, Japan). The selected colonies were identified as E. coli by polymerase chain reaction according to an established method27.
Drug-susceptibility profile testing
The disk diffusion method, based on the performance standards issued by the CLSI14, was used to test the susceptibility of E. coli isolates toward all drugs except LVFX. Mueller–Hinton agar and antimicrobial susceptibility test discs (Sencsi-Disc) were purchased from BD Biosciences (Franklin Lakes, NJ, USA). The dry Eiken plate (Eiken Chemical Co., Ltd.), which uses the broth microdilution method based on the performance standards issued by the CLSI, was used for susceptibility testing of only LVFX (Table 1). Results of the antimicrobial susceptibility test were indicated as S, I, or R. E. coli ATCC25922 and Pseudomonas aeruginosa ATCC27853 (both from American Type Culture Collection, Manassas, VA, USA) were used as control strains.
Chromosomal DNA and plasmid DNA extraction
PrepManUltra sample preparation reagent (Thermo Fisher Scientific, Waltham, MA, USA) was used for chromosomal DNA extraction. The Mini Plus Plasmid DNA Extraction System (Viogen-Bio Tek Corporation, Taipei, Taiwan) was used for plasmid DNA extraction.
Detection of drug-resistance genes by PCR and DNA sequencing
Eighteen samples of multidrug-resistant E. coli were subjected to genetic testing to predict the mechanism of drug resistance. One of the strains (sample No. 16C1) presented poor growth; therefore, 17 samples were tested. E. coli that showed resistance or intermediate resistance to β-lactam antibiotics were analyzed for blaTEM, blaSHV, and AmpC (bla CMY/MOX, bla CMY/LAT, bla DHA, bla ACC, bla ACT-1/MIR-1, and bla FOX) genes28,29. In addition to this, we analyzed the CTX-M genes (bla CTX-M-1-group, bla CTX-M-2-group, blaCTX-M-8-group, and bla CTX-M-9-group) in E. coli that showed third-generation cephalosporin resistance or intermediate resistance30 and carbapenemase genes (bla IMP-1, bla IMP-2, bla VIM-2, bla KPC-2, bla GES, and bla NDM-1) in carbapenem-resistant E. coli31–35. Aminoglycoside antibiotic resistance and intermediate E. coli were analyzed for aminoglycoside resistance 16S rRNA methylases genes (armA and rmtB) and aminoglycoside-modifying enzyme genes (Aac(6′)-Ib, Ant(3″)-Ia, Aph(3′)-Ia, and Aac(3)-II)36,37. Quinolone-resistant and intermediate-resistant E. coli were analyzed for quinolone-resistance genes (qnrA, qnrB, qnrC, qnrD, qnrS, qepA, oqxAB, and aac(6')-lb-cr)38. The antibiotic resistance genes mentioned above were analyzed using the extracted plasmid DNA as a template to amplify the target region by PCR, followed by sequencing to decipher the nucleotide sequence and homology search by BLAST (https://blast.ncbi.nlm.nih.gov/Blast.cgi).). PCR and DNA sequencing analysis using chromosomal DNA as the template were performed to examine mutations in QRDR in quinolone-resistant and intermediate-resistant strains. In the DNA gyrase subunit A gene (gyrA), the mutations at 83S and 87D were analyzed39. In topoisomerase IV gene (parC), the mutations at 80S and 84 glutamic acid (E) were analyzed40. The primers used for the amplification of each gene and the references are shown in Table 3. The PCR conditions were based on the conditions described in the references, and the Multiplex PCR Kit (Takara Bio, Kyoto, Japan) was used for PCR. The ProFlex PCR System (Thermo Fisher Scientific) was used as the thermal cycler for PCR. The PCR amplification product was treated with Illustra ExoProStar (Cytiva, Marlborough, MA, USA) to remove unwanted nucleotides. The primers used for sequencing were the primers used for PCR amplification. DNA sequencing was outsourced to a specialized external organization (Fasmac Co., Ltd., Kanagawa, Japan). The nucleotide sequences were determined by the direct sequencing of PCR products, performed by Sanger sequencing on a 3730xl DNA Analyzer (Thermo Fisher Scientific) using the BigDye Terminator and BigDye XTerminator Purification Kit (Thermo Fisher Scientific)41.
Table 3.
Resistance mechanisms | Gene | Primer name | Sequence [5' → 3'] | References no |
---|---|---|---|---|
β-lactamase | bla TEM | TEM_F | TCGTGTCGCCCTTATTCCCTTTTT | 28 |
TEM_R | GCGGTTAGCTCCTCCGGTCCTC | |||
bla SHV | SHV_F | GTGGATGCCGGTGACGAACAGC | 28 | |
SHV_R | TGGCGCAAAAAGGCAGTCAATCCT | |||
bla CTX-M-1-group | CTX-1_F | CCCATGGTTAAAAAATCACTG | 30 | |
CTX-1_R | CCGTTTCCGCTATTACAAAC | |||
bla CTX-M-2-group | CTX-2_F | ATGATGACTCAGAGCATTCGC | 30 | |
CTX-2_R | TCGCTCCATTTATTGCATCA | |||
blaCTX-M-8-group | CTX-8_F | ATGTTAATGACGACAGCCTGTG | 30 | |
CTX-8_R | CCGGTTTTATCCCCGACA | |||
bla CTX-M-9-group | CTX-9_F | GATTGACCGTATTGGGAGTTT | 30 | |
CTX-9_R | TATTGAGAGTTACAGCCCTTCG | |||
bla IMP-1 | IMP1_F | CTACCGCAGCAGAGTCTTTG | 31 | |
IMP1_R | AACCAGTTTTGCCTTACAAT | |||
bla IMP-2 | IMP2_F | GTGTATGCTTCCTTTGTAGC | 32 | |
IMP2_R | CAATCAGATAGGCGTCAGTGT | |||
bla VIM-2 | VIM_F | ATGGTGTTTGGTCGCATATC | 33 | |
VIM_R | TGGGCCATTCAGCCAGATC | |||
bla KPC-2 | KPC_F | ATGTCACTGTATCGCCGTCT | 34 | |
KPC_R | TTTTCAGAGCCTTACTGCCC | |||
bla GES | GES_F | GTTTTGCAATGTGCTCAACG | 34 | |
GES_R | TGCCATAGCAATAGGCGTAG | |||
bla NDM-1 | NDM1_F | CTGAGCACCGCATTAGCC | 35 | |
NDM1_R | GGGCCGTATGAGTGATTGC | |||
bla CMY/MOX | MOXM_F | GCTGCTCAAGGAGCACAGGAT | 29 | |
MOXM_R | CACATTGACATAGGTGTGGTGC | |||
bla CMY/LAT | CITM_F | TGGCCAGAACTGACAGGCAAA | 29 | |
CITM_R | TTTCTCCTGAACGTGGCTGGC | |||
bla DHA | DHAM_F | AACTTTCACAGGTGTGCTGGGT | 29 | |
DHAM_R | CCGTACGCATACTGGCTTTGC | |||
bla ACC | ACCM_F | AACAGCCTCAGCAGCCGGTTA | 29 | |
ACCM_R | TTCGCCGCAATCATCCCTAGC | |||
bla ACT-1/MIR-1 | EBCM_F | TCGGTAAAGCCGATGTTGCGG | 29 | |
EBCM_R | CTTCCACTGCGGCTGCCAGTT | |||
bla FOX | FOXM_F | AACATGGGGTATCAGGGAGATG | 29 | |
FOXM_R | CAAAGCGCGTAACCGGGATTGG | |||
Aminoglycoside resistance 16S rRNA methylases | armA | armA_F | GGTGCGAAAACAGTCGTAGT | 36 |
armA_R | TCCTCAAAATATCCTCTATGT | |||
rmtB | rmtB_F | ATGAACATCAACGATGCCCT | 36 | |
rmtB_R | CCTTCTGATTGGCTTATCCA | |||
Aminoglycoside modifying enzyme | Aac(6′)-Ib | Aac(6′)-I-F | AAACCCCGCTTTCTCGTAGC | 37 |
Aac(6′)-I-R | AAACCCCGCTTTCTCGTAGC | |||
Ant(3″)-Ia | Ant(3″)-F | CCGGTTCCTGAACAGGATC | 37 | |
Ant(3″)-R | CCCAGTCGGCAGCGACATC | |||
Aph(3′)-Ia | Aph(3′)-F | CAAGATGGATTGCACGCAGG | 37 | |
Aph(3′)-R | TTCAGTGACAACGTCGAGCA | |||
Aac(3)-II | Aac(3)-II-F | GCTCGGTTGGATGACAAAGC | 37 | |
Aac(3)-II-R | AGGCGACTTCACCGTTTCTT | |||
Quinolone resistance protein | qnrA | qnrA_F | AGAGGATTTCTCACGCCAGG | 38 |
qnrA_R | GCAGCACTATKACTCCCAAGG | |||
qnrB | qnrB_F | GGMATHGAAATTCGCCACTG | 38 | |
qnrB_R | TTTGCYGYYCGCCAGTCGAA | |||
qnrC | qnrC_F | GGGTTGTACATTTATTGAATC | 38 | |
qnrC_R | TCCACTTTACGAGGTTCT | |||
qnrD | qnrD_F | CGAGATCAATTTACGGGGAATA | 38 | |
qnrD_R | AACAAGCTGAAGCGCCTG | |||
qnrS | qnrS_F | GCAAGTTCATTGAACAGGCT | 38 | |
qnrS_R | TCTAAACCGTCGAGTTCGGCG | |||
qepA | qepA_F | CTGCAGGTACTGCGTCATG | 38 | |
qepA_R | CGTGTTGCTGGAGTTCTTC | |||
oqxA | oqxA_F | GACAGCGTCGCACAGAATG | 38 | |
oqxA_R | GGAGACGAGGTTGGTATGGA | |||
oqxB | oqxB_F | CGAAGAAAGACCTCCCTACCC | 38 | |
oqxB_R | CGCCGCCAATGAGATACA | |||
aac(6′)-Ib | aac_F | TTGCGATGCTCTATGAGTGGCTA | 38 | |
aac_R | CTCGAATGCCTGGCGTGTTT | |||
Mutation of the quinolone resistance-determining regions | gyrA | STGYRA_F | TGTCCGAGATGGCCTGAAGC | 39 |
STGYRA_R | CGTTGATGACTTCCGTCAG | |||
parC | parC_F | TGTATGCGATGTCTGAACTG | 40 | |
parC_R | CTCAATAGCAGCTCGGAATA |
Statistical analysis
The sex differences in the rate of S, I, and R were evaluated using the chi-square test. SPSS (version 19, IBM Japan, Tokyo, Japan) was used for the analysis. The statistical significance level was set to 5%.
The 95% CI of resistance rates were calculated using the Agresti-Coull method.
Acknowledgements
We are grateful to the Animal Welfare Center in Chiba Prefecture and Kanagawa Prefecture for providing samples for testing. This study was supported by the Health Sciences Research Grant for Research on Emerging and Re-emerging Infectious Diseases from the Japan Agency for Medical Research and Development (Grant number 16fk0108215h0002), and a Health Labor Sciences Research Grant from the Ministry of Health, Labor and Welfare of Japan (grant number H30-Shinkogyousei-Shitei-001). The funding sources had no role in the study design, collection, analysis and interpretation of data, writing of the manuscript, or the decision to submit the article for publication.
Author contributions
A.H.: formal analysis, investigation, methodology, writing—original draft preparation. F.O.: data curation, formal analysis, investigation, methodology. N.F.: methodology, project administration, validation, writing of the manuscript—reviewing and editing. Y.Y.: conceptualization, funding acquisition, project administration.
Funding
This article was funded by Ministry of Health, Labor and Welfare of Japan, H30-Shinkogyousei-Shitei-001, Japan Agency for Medical Research and Development (Grant no. 16fk0108215h0002).
Data availability
The datasets generated and analyzed during the current study are available from the corresponding author on reasonable request.
Competing interests
The authors declare no competing interests.
Footnotes
Publisher's note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
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Associated Data
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Data Availability Statement
The datasets generated and analyzed during the current study are available from the corresponding author on reasonable request.