Occurrence and Characterization of<i> Salmonella</i> Isolated from Large-Scale Breeder Farms in Shandong Province, China

Yang, Jie; Gao, Siwei; Chang, Yajie; Su, Mingliu; Xie, Yutong; Sun, Shuhong

doi:https://doi.org/10.1155/2019/8159567

BioMed Research International

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

Research Article | Open Access

Volume 2019 | Article ID 8159567 | https://doi.org/10.1155/2019/8159567

Occurrence and Characterization of Salmonella Isolated from Large-Scale Breeder Farms in Shandong Province, China

Jie Yang,¹Siwei Gao,¹Yajie Chang,¹Mingliu Su,¹Yutong Xie,¹and Shuhong Sun¹

Academic Editor: Himanshu Garg

Received10 Jan 2019

Revised03 Mar 2019

Accepted28 Mar 2019

Published16 Apr 2019

Abstract

This study aimed to investigate the prevalence and antimicrobial resistance of Salmonella spp. isolated from large-scale breeder farms in Shandong Province, China. A total of 63 Salmonella isolates (63/409, 15.4%) were identified from 409 samples collected from five large-scale breeder farms in Shandong Province. These Salmonella isolates were assayed for serotype, antimicrobial susceptibility, prevalence of class 1 integrons, quinolone resistance genes, and β-lactamase genes and subtyped by multilocus sequence typing (MLST). Among these isolates, S. Enteritidis (100%) was the predominant serovar, and high antimicrobial resistance rates to nalidixic acid (100.0%), streptomycin (100.0%), ampicillin (98.4%), and erythromycin (93.7%) were observed. All of the isolates carried blaTEM. MLST results showed that only one sequence type (ST11) was identified. Our findings indicated that Salmonella was generally prevalent not only on broiler farms but also on breeder farms.

1. Introduction

Salmonella is the predominant pathogen that causes foodborne illness [1], and it has become one of the most significant zoonoses with many serotypes in recent years. To date, more than 2600 serotypes have been discovered, playing an increasingly important role in disease pathogenesis[2], and the number of people infected with Salmonella was higher than that of the summation of several other foodborne diseases in China in 2016 [3].

Currently, there is no effective vaccine for Salmonella; however, fractionally feasible measures of Salmonella prevention and control that maintain a clean poultry house environment and clean equipment have been adopted, strengthening the management of feeding operations. Antibiotics are the single most effective treatment for Salmonella; however, the prevalence of multiple Salmonella serovars in the environment has been induced by the extensive use of antibiotics by humans, which creates tremendous potential dangers for the treatment of patients with Salmonella infections. The resistance rate of Salmonella to Ampicillin (AMP) in the population was 90% in 2018 [4], and resistance is causing a public health threat.

Shandong is one of the highest producers of poultry products. The quantity of poultry heads accounts for 15% of the total number in China, and its products, including eggs and broiler meat, are exported to multiple countries [5]. There are many farms in Shandong, and the scales of farms and types of chickens are different. A lack of published surveys on domestic breeder farms that makes the epidemic situation invisible to the public, the pathogenicity of Salmonella in different regions, and the enormous expense and detriment to farms caused by Salmonella prompted us to conduct a study of breeder farms in Shandong. In this study, the excrements from 5 large-scale breeder farms were randomly sampled, and genetic species of Salmonella were analyzed. Resistance characteristic tests were performed using MLST, and class I integrons were detected.

2. Materials and Methods

2.1. Sample Collection

From April 2018 to May 2018, a total of 409 samples, including 229 fresh fecal swabs and 180 chicken embryos, were randomly collected from five large-scale breeder farms in Shandong Province (Table 1). Chicken cages were randomly selected for sampling (one sample per cage). All samples were collected from two large-scale breeder farms in Binzhou (n=219), two large-scale breeder farms in Heze (n=120), and a large-scale breeder farm in Liaocheng (n=70). Breeder farms were chosen based on their scale; stock varied from 10,000 to 100,000 chickens. Every sampling site was visited only once. After sampling, samples were immediately transported to our laboratory within 6 h in a box containing ice.

2.2. Isolation and Identification of Salmonella

The sampling strategy was defined according to the standard method of China GB 4789.4-2010, with some modifications. Briefly, 10.0 mL of buffered peptone water (BPW, Land Bridge Technology, Beijing, China) was added to each sample (1 g) for preenrichment. After incubation at 37°C for 18 h, 1.0 mL preenriched culture was inoculated into 10.0 mL selenite cystine broth (SC, Land Bridge Technology) and incubated at 42°C for 24 h. One loop of each SC broth culture was then streaked onto xylose lysine deoxycholate medium (XLD, Land Bridge Technology) plates and incubated at 37°C for 24 h to 48 h. Next, nonrepetitive suspected Salmonella colonies were identified and confirmed by PCR amplification of the invA gene [6].

2.3. Salmonella Serotyping

Salmonella isolates were serotyped by slide agglutination with O and H antigen-specific sera (Tianrun Bio-Pharmaceutical, Ningbo, China) according to the Kauffmann-White scheme [7].

2.4. Antimicrobial Susceptibility Testing

The Kirby-Bauer disk diffusion method, which was learned from the Clinical and Laboratory Standards Institute (CLSI, 2013) [8] (Table 6), was applied to examine the sensitivity of Salmonella to 13 commonly used antibiotics, including nalidixic acid (NAL; 30 μg), norfloxacin (NOR;10 μg) erythromycin (EM; 15 μg), streptomycin (STR;10 μg), ampicillin (AMP; 10 μg), tetracycline (TET; 30 μg), ciprofloxacin (CIP; 5 μg), chloramphenicol (CHL; 30 μg), ceftriaxone (CRO; 30 μg), cefotaxime (CTX; 30 μg), gentamicin (GEN; 10 μg), sulfamethoxazole (SXT; 25 μg), and polymyxin B (PB; 300 IU). Escherichia coli strains ATCC 25922 and ATCC 35218 were used as the quality control strains. Salmonella isolates resistant to more than three classes of antimicrobials were defined as multidrug resistance (MDR) isolates [9, 10]. The AMP belonged to penicillin. The CTX and CRO were from cephalosporin. The GEN and STR were from aminoglycosides. The EM was from macrocyclic lipids. The TET pertained to tetracycline. The PB pertained to polypeptides. The MOR, CIP, and NAL were from quinolone. The SXT pertained to sulfonamides. The CHL was from chloramphenicol.

2.5. Detection of Class I Integrons and Resistance Gene

The DNA of positive bacterial strains was extracted using a TIANamp Bacterial DNA Kit (Tiangen, Beijing, China) according to the manufacturer’s instructions. The gene cassettes within the variable regions of class I integrons were detected via polymerase chain reaction (PCR) with previously described primers according to previously described procedures [11]. The sequences of primers are shown in Table 2 [12]. The PCR mixture volume was 25 μL. After initial denaturation at 94°C for 10 min, the samples underwent a series of 35 cycles of 1 min denaturation at 94°C, 1 min annealing at 55°C, and 1 min elongation at 72°C. This was followed by a final elongation step at 72°C for 10 min, and samples were stored at 4°C.

β-lactamase encoding genes (, , , , , and ) and quinolone resistance genes (qnrA, qnrB, qnrC, qnrD, and qnrS) were detected via PCR using previously described primers and procedures [9, 13, 14]; the sequences of primers are shown in Table 3 [15, 16]. Then, the PCR products were visualized by agarose gel electrophoresis. The PCR mixture volume was 50 μL. After initial denaturation at 94°C for 5 min, the samples underwent a series of 32 cycles of 30 s denaturation at 94°C, 30 s annealing at 55°C, and 45 s elongation at 72°C. This was followed by a final elongation step at 72°C for 7 min, and samples were stored at 4°C.

2.6. MLST

According to the description from the University of Warwick (http://mlst.warwick.ac.uk/mlst/), seven housekeeping genes (aroC, dnaN, hemD, hisD, purE, sucA, and thrA) were used for the molecular typing of Salmonella strains. Sequence types (STs) were assigned according to the STs in the Salmonella enterica MLST database (http://mlst.warwick.ac.uk/mlst/dbs/Senterica) [17].

3. Results

3.1. Prevalence and Serotypes of Salmonella

A total of 63 Salmonella strains were isolated from 409 samples obtained from five large-scale breeder farms, for an isolation rate of 15.4%. However, 63 strains were all collected from Binzhou (Table 1). In our study, 63 Salmonella isolates were divided into one serotype which were S. Enteritidis (Table 4).

3.2. Antimicrobial Susceptibility Testing

According to the standard of CLSI, all 63 Salmonella strains were susceptible to NOR, CIP, CHL, GEN, SXT, and PB. All of the isolates were resistant to NAL and STR (Table 7). Most isolates were resistant to AMP (62/63, 98.41%) and EM (59/63, 93.65%). Only one isolate (1/63, 1.59%) was resistant to CRO, and the other isolate (1/63, 1.59%) had tolerance to CTX (Table 5). The most common drug resistance spectrum was AMP-EM-NAL-STR (n=38). In addition, all of the isolates (n=63) exhibited multidrug resistance (MDR). There was resistance to quinolones, tetracyclines, penicillins, cephalosporins, aminoglycosides, and macrolides.

3.3. Characteristics of Class I Integrons and Resistance Genes

There were no class I integrons among the 63 Salmonella strains. Among the 63 Salmonella strains isolated, blaTEM was the most frequently detected, with a detection rate of 100%. Quinolone resistance genes were not detected.

3.4. MLST

Through MLST analysis, only one ST was identified, ST11 (63/63,100%), among the 63 strains. The ST identified in the present study (ST11) correlated with the Salmonella serovar S. Enteritidis.

4. Discussion

Shandong is not only an important producer of domestic poultry products for all parts of country but also one of the most important producing areas for exportation abroad. In Shandong, Liaocheng transported 120 million poultry products to other countries in 2017 [18]. At present, there are few reports on large-scale breeder farms, so it is important to understand the Salmonella contamination degree of poultry products in Shandong. According to our study, 63 Salmonella isolates were identified, with a detection rate of 15.4%, which was lower than the detection rate in Shandong in 2016 (23.4%) [19]. This may be related to the size of the farm, the variety of the chicken, and the environment on the farm. In addition, the detection rate in this study was lower than the detection rate of broiler farms (26.6%) in 2017 [20]. Possibly, the reduction is due to current stricter management of breeder farms. The 63 strains of Salmonella were from the same farm. The detection rate of the farm was higher than 23.4% and 26.6%, indicating that there are hidden dangers regarding Salmonella contamination. The trends of Salmonella prevalence have been increasing in recent years [3], so the farm may also affected by these factors. At the same time, the detection rate of another breeder farm in the same area was 0%, which may be related to the management and sanitation of the breeder farm.

In our research, we found that the dominant serotype was S. Enteritidis. However, other relevant research reports showed that S. Gallinarum was the dominant serotype in some places [21], and sometimes S. Indiana [22] dominated. In different areas, the dominant serotype is different. Although S. Typhimurium prevalence is serious [23], we could not examine the serotype as only S. Enteritidis responds MLST. This can be relevant to the size and the location of the farm. S. Enteritidis abundance was serious on farm 1. Single serotypes may be associated with the kinds of breeder farms. Salmonella can be transmitted vertically to infect livestock offspring [24]. In this study, breeders were investigated, and the breeding farm was closed. If parent stock breeders do not transmit Salmonella, the probability of infection can be reduced greatly. In contrast, if parent stock is infected, it will give rise to the serious prevalence of Salmonella. The dominant serotype was reflected by the parental infection serotype; therefore, the parent stock breeders may have been transmitting Salmonella on farm 1. Although the farm was seriously contaminated by S. Enteritidis, it was the only serotype present, so infection prevention should be easy, which gives us more motive to take action.

In this study, all Salmonella isolates were completely resistant to NAL (100%); in 2017, most were resistant to NAL (99.5%), and resistance was less. AMP resistance increased most significantly compared with the 2017 report. The national AMP resistance (87.8%) rose to 98.4%, indicating that the farm had more applications of AMP, much higher than the Chinese average. In broiler farms in 2017, the antimicrobial resistance to TET and CRO was clearly higher than that of breeder farms [25]. The antimicrobial resistance of NAL and AMP increased slightly, which may be related to time. Antimicrobial resistance has reached high levels in all domestic farms. This may be because the major drugs for the treatment of Salmonella are NAL and AMP, and antimicrobial resistance has increased year by year, eventually reaching full drug resistance. The antimicrobial resistance of the breeder farm is relatively lower than that of the broiler farm. This may be because the breeding management of the breeder farm is more stringent, and the medication administration is limited, which reduces the spread of antimicrobial resistance. Moreover, compared with resistance rates in 2011-2014, related research has shown that resistance has increased, showing an increasing trend year to year. For example, STR resistance (100%) was 34.0% in 2011-2014; the increase may be due the excessive use of STR drugs in plants [26]. Compared with NAL (41%) in Sichuan in 2013, present day values are far higher, with resistance increases yearly; however, this may be different from the local epidemic serotype, and the regimen of drugs may be different, resulting in different drug resistance patterns [9].

The result of MLST showed that only one ST, ST11, was found among the isolates from the chicken farms. This is similar to animal-derived Salmonella research results from Shandong in 2017 [27]. In addition, ST40 and ST17, which are more common in other research reports, were not detected in this study [28]. This may be because breeder farms may be less contaminated than broiler farms, meat products may be contaminated by Salmonella, or S. Enteritidis contamination is more serious. If the ST is the same, it means that parent stock transmitted the same Salmonella strain. A single ST may be related to the research subject, which consisted of breeding farms in this research. Perhaps the 63 Salmonella isolates evolved from one Salmonella isolate, and the offspring were infected by parent stock; therefore, the possibility of infection from a single Salmonella isolate increased greatly. It increases the possibility of the same ST. In this study, ST11 corresponded to Salmonella Enteritidis, which is consistent with previous reports [29]. However, some studies have shown that, in America, the major prevalent STs are ST34, ST33, and ST11 [30], which shows that STs may be associated with regions.

Resistance gene detection results only identified one drug resistance gene, blaTEM. There were no blaPSE genes detected. Since the MLST resulted in only one ST, the ST may be from the same generation of Salmonella. It is likely that drug resistance genes are also derived from the parents, resulting in the detection of only one resistance gene (100%). In 2014, in chickens with enterointestinal Salmonella, the detection rate of the blaTEM resistance gene was greater than 88% [31]. With the widespread use of antibiotics, the frequency of the emergence of resistant genes has also increased. On breeder farms, the transmission of Salmonella to offspring resulted in a significant increase in blaTEM gene frequency, which may be responsible for the significantly higher detection rate, up to 100%, than that observed in 2014 as well as that observed in the 2017 Taiwan drug resistance study [32]. The detection rate of other drug resistance genes was low, which may be related to genotype or region. Because of various dominant serotypes and climates in different regions, the results will differ.

What is puzzling about Salmonella Gallinarum detected in 2013 is that no gene cassettes were found in the class 1 integrons [33], possibly because all serotypes were ST11.

5. Conclusions

Our investigation showed that only one serotype of Salmonella, S. Enteritidis, was identified in large-scale breeder farms in Shandong. Farms can enhance feeding management and eliminate contaminated parent generation chickens in a timely manner to control Salmonella outbreaks. Although different strains of Salmonella in the same breeder farm show different drug resistance rates, they all have high resistance to common compounds, and their drug resistance spectrum is also common because of the abuse of antibiotics. The situation is dangerous to public health and safety, and people should consider the responsible use of antibiotics, utilize a combination or rotation of drugs, use less antimicrobial drugs, and be aware of the course of treatment and withdrawal period to ensure our food safety.

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

Jie Yang and Siwei Gao have contributed equally to this work.

Acknowledgments

This work was supported by the National Key R&D Project (2016YFD0501608 and 2016 YFD0500510); Taishan Scholar Program (201511023); Funds of Shandong “Double Tops” Program.

Supplementary Materials

Table 7 is the supplementary material, which includes the data of inhibition zone of 63 Salmonella in drug susceptibility test. (Supplementary Materials)

References

E. P. O. B. Hazards, “Scientific opinion on a quantitative microbiological risk assessment of Salmonella in slaughter and breeder pigs,” EFSA Journal, vol. 8, no. 4, p. 1547, 2010.
View at: Publisher Site | Google Scholar
M. Guibourdenche, P. Roggentin, M. Mikoleit et al., “Supplement 2003–2007 (No. 47) to the White-Kauffmann-Le Minor scheme,” Research in Microbiology, vol. 161, no. 1, pp. 26–29, 2010.
View at: Publisher Site | Google Scholar
J. Liu, L. Bai, W. Li et al., “Trends of foodborne diseases in China: lessons from laboratory-based surveillance since 2011,” Frontiers of Medicine, vol. 12, no. 1, pp. 48–57, 2018.
View at: Publisher Site | Google Scholar
G. H. Liu, X. Huang, W. Y. Zhang et al., “Foodborne disease patients in feces of Salmonella resistance test and the result analysis,” Chinese Journal of Public Health Engineering, vol. 17, pp. 25–28, 2018.
View at: Google Scholar
A. Inouye, “Poultry and products Semi-annual 2017- Chinese Year of the Rooster,” Global Agricultural Information Newtwork, 2017.
View at: Google Scholar
B. Malorny, J. Hoorfar, M. Hugas et al., “Interlaboratory diagnostic accuracy of a Salmonella specific PCR-based method,” International Journal of Food Microbiology, vol. 89, no. 2-3, pp. 241–249, 2003.
View at: Publisher Site | Google Scholar
P. A. D. Grimont and F. X. Weill, “Antigenic formulae of the Salmonella serovars 9th Edn. Paris: WHO collaborating centre for reference and research on Salmonella,” Institut Pasteur, 2007.
View at: Google Scholar
CLSI, Performance Standards for Antimicrobial Susceptibility Testing: Twentieth-Third Informational Supplement M100-S23, Clinical and Laboratory Standards Institute, Wayne, PA, USA, 2013.
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
B. M. Pokharel, J. Koirala, R. K. Dahal, S. K. Mishra, P. K. Khadga, and N. R. Tuladhar, “Multidrug-resistant and extended-spectrum beta-lactamase (ESBL)-producing Salmonella enterica (serotypes Typhi and Paratyphi A) from blood isolates in Nepal: surveillance of resistance and a search for newer alternatives,” International Journal of Infectious Diseases, vol. 10, no. 6, pp. 434–438, 2006.
View at: Publisher Site | Google Scholar
M. B. Kerrn, T. Klemmensen, N. Frimodt-Möller, and F. Espersen, “Susceptibility of Danish Escherichia coli strains isolated from urinary tract infections and bacteraemia, and distribution of sul genes conferring sulphonamide resistance,” Journal of Antimicrobial Chemotherapy, vol. 50, no. 4, pp. 513–516, 2002.
View at: Publisher Site | Google Scholar
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
M. Batchelor, K. Hopkins, E. J. Threlfall et al., “bla_CTX-M genes in clinical Salmonella isolates recovered from humans in England and Wales from 1992 to 2003,” Antimicrobial Agents and Chemotherapy, vol. 49, no. 4, pp. 1319–1322, 2005.
View at: Publisher Site | Google Scholar
H.-X. Jiang, L. Song, J. Liu et al., “Multiple transmissible genes encoding fluoroquinolone and third-generation cephalosporin resistance co-located in non-typhoidal Salmonella isolated from food-producing animals in China,” International Journal of Antimicrobial Agents, vol. 43, no. 3, pp. 242–247, 2014.
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
M. Achtman, J. Wain, F. Weill et al., “Multilocus sequence typing as a replacement for serotyping in Salmonella enterica,” PLoS Pathogens, vol. 8, no. 6, p. e1002776, 2012.
View at: Publisher Site | Google Scholar
M. Godfrey, “Chinese poultry exports on the rise,” www.Globalmeatnews.com/, 2018.
View at: Google Scholar
L. Sun, J. Wang, X. Huang et al., “Analysis on Antimicrobial Resistance and Virulence Genes of Salmonella Isolated from Chicken Slaughterhouse in Shandong Province,” China Poultry, 2016.
View at: Google Scholar
X. Song, G. Zhao, W. Liu et al., “Comparative Analysis of Virulent Genes and Drug Resistance of Salmonella Isolated from Different Sources,” China Animal Health Inspection, 2017.
View at: Google Scholar
G. O. A. Agada, I. O. Abdullahi, M. Aminu et al., “Prevalence and antibiotic resistance profile of Salmonella isolates from commercial poultry and poultry farm-handlers in Jos, Plateau State, Nigeria,” British Microbiology Research Journal, vol. 4, no. 4, pp. 462–479, 2014.
View at: Publisher Site | Google Scholar
Y. Lu, C. M. Wu, G. J. Wu et al., “Prevalence of antimicrobial resistance among Salmonella isolates from chicken in China,” Foodborne Pathogens Disease, vol. 8, p. 45, 2011.
View at: Publisher Site | Google Scholar
T. Y. Thung, N. A. Mahyudin, D. F. Basri et al., “Prevalence and antibiotic resistance of Salmonella Enteritidis and Salmonella Typhimurium in raw chicken meat at retail markets in Malaysia,” Poultry Science, vol. 95, no. 8, pp. 1888–1893, 2016.
View at: Publisher Site | Google Scholar
J. Berchieri A., C. K. Murphy, K. Marston, and P. A. Barrow, “Observations on the persistence and vertical transmission of Salmonella enterica serovars Pullorum and Gallinarum in chickens: Effect of bacterial and host genetic background,” Avian Pathology, vol. 30, no. 3, pp. 221–231, 2001.
View at: Publisher Site | Google Scholar
Y. Zhu, H. Lai, L. Zou et al., “Antimicrobial resistance and resistance genes in Salmonella strains isolated from broiler chickens along the slaughtering process in China,” International Journal of Food Microbiology, vol. 259, pp. 43–51, 2017.
View at: Publisher Site | Google Scholar
X. Yang, J. Huang, Q. Wu et al., “Prevalence, antimicrobial resistance and genetic diversity of Salmonella isolated from retail ready-to-eat foods in China,” Food Control, vol. 60, pp. 50–56, 2015.
View at: Google Scholar
C. Zhao, Q. Zhang, S. Y. Guo et al., “Distribution and typing of animal-derived Salmonella with mlst and serotype,” Chinese Journal of Zoonoses, 2017.
View at: Google Scholar
G. Chao, C. Wang, T. Wu et al., “Molecular epidemiology and antibiotic resistance phenotypes and genotypes of salmonellae from food supply chains in China,” Food Control, vol. 77, pp. 32–40, 2017.
View at: Publisher Site | Google Scholar
R. Ghaderi, K. Tadayon, P. Khaki, and N. Mosavari, “Iranian clonal population of salmonella enterica serovar enteritidis, characterized by multi-locus sequence typing (MLST) method,” Iranian Journal of Microbiology, vol. 7, no. 5, pp. 251–259, 2015.
View at: Google Scholar
P. Pethplerdprao, S. Supa-amornkul, N. Panvisavas, and S. Chaturongakul, “Salmonella enterica multilocus sequence typing and its correlation with serotypes,” Food Biotechnology, vol. 31, no. 2, pp. 73–79, 2017.
View at: Publisher Site | Google Scholar
Y. Lu, A. Lu, H. Y. Zhao et al., “Analysis of antimicrobial resistance among Salmonella enteritidis from chicken,” Chinese Journal of Zoonoses, vol. 30, pp. 17–22, 2014.
View at: Google Scholar
Y.-T. Lo, C.-L. Wang, B.-H. Chen, C.-W. Hu, and C.-H. Chou, “Prevalence and antimicrobial resistance of Salmonella in market raw oysters in Taiwan,” Journal of Food Protection, vol. 80, no. 5, pp. 734–739, 2017.
View at: Publisher Site | Google Scholar
Y. Lu, H. Zhao, Z. Zhang et al., “Survey of Salmonella multiple resistance and class i integron prevalence from chicken,” Chinese Agricultural Science Bulletin, vol. 32, pp. 39–43, 2013.
View at: Google Scholar

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Copyright © 2019 Jie Yang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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