Antimicrobial resistance and genetic diversity of Salmonella enterica from eggs

Abstract Salmonella enterica is a common foodborne pathogen responsible for major global health problems such as paratyphoid fever and gastroenteritis. Here, we report the prevalence, antibiotic resistance phenotypes, serotypes, and molecular subtyping of Salmonella isolated from eggs in Guangdong, China. Out of 1,000 egg samples, 54 (5.40%) were positive. S. Enteritidis made up the largest proportion of samples with 11 serotypes. Antimicrobial susceptibility test indicated that most strains were resistant to β‐lactam, aminoglycoside, and tetracycline antibiotics (27.00%–40.00%). There were 37 STs based on MLST typing. MLST and ERIC‐PCR classified 54 isolates into three and five clusters, respectively, which revealed the genetic relatedness and diversity. In conclusion, frequent monitoring of eggs for Salmonella, antibiotic resistance profiles and genetic diversity is essential for improving food safety.


| INTRODUC TI ON
Salmonella enterica is a major foodborne pathogen that infects approximately 9 million people worldwide and is responsible for 155,000 deaths annually, causing serious economic losses (Huang et al., 2016;Li, Ye, et al., 2017). It is well known that this pathogen is mainly spread by unsafe handling of uncooked animal food products including egg, chicken, and pork (Gillespie, O'Brien, Adak, Ward, & Smith, 2005;Wang et al., 2012). As an important foodborne pathogen in China, Salmonella was responsible for approximately 70%-80% of foodborne pathogenic outbreaks (Wang, Zheng, & Wang, 2007). Typhoidal Salmonella causes severe and life-threatening diseases, while nontyphoidal Salmonella is associated with self-limiting diseases such as gastroenteritis, but still severe systemic infections occur in infants, the elderly, and immune-compromised individuals (Ceyssens, Mattheus, Vanhoof, & Bertrand, 2015).
In recent decades, antimicrobial resistance has emerged and evolved in many bacterial as the excessive use of antimicrobials in human and aquaculture systems (Kang et al., 2016;Li et al., 2013).
The emergence of antimicrobial resistance in Salmonella to antibiotics such as ampicillin, chloramphenicol, and cotrimoxazole will further complicate the treatment and management of enteric fever (Ejaz et al., 2017). Strains that have been detected are resistant to some clinical first-line antibiotics used in the treatment of severe Salmonella infections (Boonkhot, Tadee, & Patchanee, 2015). As antibiotic-resistant bacteria can be directly transmitted through the food chain or transfer their antimicrobial resistance to human pathogens by mobile genetic elements, it is important to monitor antibiotic resistance among Salmonella isolates and control the risk.
Serotyping is a phenotypic characteristic that is a useful epidemiological marker for Salmonella. More than 2,600 serotypes have been reported (Abbott, Ni, & Janda, 2012). The prevalence of Salmonella serovars in different countries also varies over time and regions.
For example, Salmonella Enteritidis is the most common serovar in Isolation and identification of strains were carried out according to previous reports (Yang et al., 2015). Briefly, each egg was disinfected with 75% alcohol, the shell was carefully removed, and the egg yolks and whites were mixed. Then, 25 g of the sample was added to 225 ml of buffered peptone broth, and 1 ml of the solution was incubated in 10 ml of selenite cystine broth (SC) at 37°C and 10 ml of tetrathionate brilliant green broth (TTB) at 42°C for 24 hr. The SC and TTB cultures were streaked onto xylose-lysinetergitol 4 (XLT4) selective agar plates and chromogenic Salmonella agar plates (37°C, 24 hr). Presumptive colonies were stabbed into a triple sugar iron slant and incubated at 37°C for 24 hr. Typical Salmonella phenotypes were further confirmed with API 20E test strips (BioMerieux French).

| Serotyping of Salmonella isolates
All the Salmonella isolates were serotyped by agglutination tests on the basis of somatic-O and H antisera in accordance with the Kauffmanne-White scheme (Boonkhot et al., 2015).
Each reaction mixture included the following (total volume, 25 ml): 2 *PCR Mix (Qiagen), 12.5 μl; 1 μl each primer, dd H 2 O, 9.5 ml; and DNA template, 1 μl. The PCR conditions were as follows: 96°C for 5 min; 35 cycles for 96°C for 1 min; 55°C for 1 min; 72°C for 1 min; and final extension at 72°C for 10 min. The products were sequenced on BGI instrument. The seven gene sequences were uploaded to the MLST database for comparison to get allele numbers and define STs. The MLST evolution tree was built using the Kimura-2-parameter in Mega 6.0 (Tamura, Stecher, Peterson, Filipski, & Kumar, 2013).

| Salmonella in eggs
We isolated Salmonella from 54 (5.40%) out of 1,000 eggs. Of these, 38 strains were from farms and 16 were from markets. The strains were stored at −80°C in trypticase soy broth (20% glycerol). All positive samples and strains information are shown in Table S1.

| Serotypes phenotype
Somatic -O and -H antisera agglutination serotyped the 54 Salmonella isolates into 11 different serovars (Figure 1). Their distribution is as follows: S. Agona (3) Figure 2. The MLST results grouped the Salmonella isolates into three clusters. ST3315 (SalE28) formed its own cluster, which was widely separated from the others on the evolutionary tree.
The results of ERIC-PCR analysis of the Salmonella isolates are shown in Figure 3. We found bands ranging in size from 100 bp to about 5,000 bp. The ERIC-PCR patterns revealed that our isolates could be divided into five clusters (A, B, C, D, and E) with a relative similarity coefficient of 0.65. Analysis of the ERIC-PCR found the isolates to be very diverse genetically. Meanwhile, the isolates belonging to clusters A and B were similar to the cluster in MLST typing, including SalE7, 9, 29, and 37. However, there was no evidence showing a relationship between source, serotype, and antibiotic resistance.

| D ISCUSS I ON
Eggs were an important host of S. enterica. In the United States alone, eggs were responsible for 80% of the 371 known Salmonella food poisoning cases from 1985 to 1999. In 2010, more than 2,000 people in the United States contracted food poisoning from consuming eggs contaminated with Salmonella. This led to the recall of more than 550 million eggs and resulted in heavy economic losses (Al, 2004). In China, about 70% of bacterial food poisoning is caused by Salmonella, with eggs and egg products accounting for 90% of these (Wu, Qin, Shi, & Zheng, 2004). Our data found that 7.6% and 3.2% of farm and market egg samples were contaminated with Salmonella, respectively. The market eggs may have a lower positive rate due to stricter access rules. The results were also much lower than contamination pork (41.8%) and other meats (Capuano, Mancusi, Capparelli, Esposito, & Proroga, 2013). For the egg samples, the contamination F I G U R E 2 Multilocus sequence typing minimum evolution tree of the Salmonella isolates rate was similar to that seen in Iran and Shaanxi, China (Badouei, Ghalejooghi, & Madadgar, 2012;Wang et al., 2012). However, the data on the prevalence of Salmonella in eggs still show the risk of this organism infection and can be useful for control of egg consumption in China.
Resistance to different antibiotics has increasingly been reported in bacteria isolated from animals and humans and has become an important global issue. In particular, there is widespread dissemination of antimicrobial-resistant strains among S. enterica (Hardjo Lugito & Cucunawangsih, 2017;Yang et al., 2015). Our susceptibility tests revealed the Salmonella isolates obtained from eggs were highly resistant to β-lactams antibiotic, especially ampicillin. This resistance ratio coincides with many previous reports, finding that ampicillin resistance was most serious in Salmonella from some Asian countries (Chiou et al., 2014). Resistance to aminoglycosides and tetracyclines may be related to the use of feed containing large amounts of these antibiotics in chicken farms.
Resistance to quinolones is also increasing along with prevalence of the resistance genes (Ben et al., 2017). Our isolates also showed resistance to other antibiotics including azithromycin (AZM) and erythromycin (ERY), which is a public health concern as these drugs are often used to treat human infections. In addition, many of the strains were multidrug resistant (MDR) with some even being resistant to more than seven antibiotics. Wang et al also showed that 84.6% of the Salmonella isolates from Shanghai, China, exhibited MDR and proved that resistance genes play an important role in MDR . Our findings indicate that it is necessary to continue monitoring the antimicrobial resistance of Salmonella isolates to help determine the appropriate antimicrobial therapy for patients infected with this pathogen.
Salmonella enterica has a wide variety of serotypes, and their distribution has strong regional variation. There are differences in F I G U R E 3 ERIC-PCR DNA fingerprint analysis of the Salmonella isolates the prevalence of Salmonella all over the world, but most common are Salmonella Enteritidis, Salmonella Typhimurium, and Salmonella Pullorum (Batista et al., 2015). For example, S. Senftenberg has been proved to be the dominant serovar in cooked meat products in Chinese Henan province (Yu, Jiang, Zhou, Wu, & Wu, 2014 Enteritidis is mainly transmitted through contaminated meat and egg products, which is the primary cause of human salmonellosis (Foley et al., 2011). This serotype was also the most widespread in our study ( Figure 1). Serotype Typhi is defined as often being resistant to some first-line recommended antibiotics (Hardjo Lugito & Cucunawangsih, 2017). There are 11 serovars found in our Salmonella isolates. These serovars have also been frequently isolated from different sources in China (Gong et al., 2014). S. Pullorum, which formed a large proportion of the isolates, are similar to strains isolated from gastroenteritis (Luo, Yi, Yao, Zhu, & Qin, 2017). As Salmonella serovars are closely related to pathogenicity, it is necessary to monitor changes in their distribution.
Molecular subtyping is widely used to analyze genetic diversity.
MLST divided the Salmonella isolates into three clonal groups from different sources, which differed in all seven alleles profiled. We found that diverse STs mean that the isolates originated from more than one common ancestor and possess several distantly related STs. In the database, our STs were first isolated from diverse sources.
For example, ST31, ST39, and ST40 were from pig farms, pig slaughterhouses, retail markets, and humans in China .
ST533, ST813, and ST640 were from clinics in Ethiopia and France.
Our MLST results were used for analyzing correlations among the Salmonella strains. ERIC-PCR fingerprinting has also been used to confirm epidemiological relationships between various Salmonella isolates . In Korea, researchers claimed that ERIC-PCR combined with virulence profiling offered a rapid approach to characterize antimicrobial-resistant Salmonella (Jin & Lee, 2017). We did not find a significant association between ERIC-PCR clusters, source, and other characteristics. However, isolates in the last two MLST and ERIC-PCR were similar. In general, MLST and ERIC-PCR are useful as phylogenetic tools for investigations outbreaks of this pathogen.

| CON CLUS ION
Salmonella enterica food poisoning due to egg consumption is a longstanding problem. Our study is the first to comprehensively analyze the prevalence, antibiotic resistance, serotype, and molecular subtype of strains isolated from Guangdong eggs, which are an important local food of native. The results showed contamination ratio of Salmonella was 5.40%. Antibiotic resistance was widespread, especially for β-lactam antibiotics. The isolates belonged to multiple serovars. MLST and ERIC-PCR typing showed genetic similarity and diversity within those isolates. These results provide useful information to improve strategies to control and treat Salmonella infections.

ACK N OWLED G M ENTS
Our work was supported by Guangdong Forestry Science and Technology Innovation Project (2016KJCX037) and Quality Engineering Training Base Project of Guangdong Eco-engineering Polytechnic (2017ZLGC-XJ-GZS03).

CO N FLI C T O F I NTE R E S T
The authors declare that they do not have any conflict of interest.

AUTH O R CO NTR I B UTI O N S
Tengfei Xie, Gang Wu are the common first authors, finished this article experiment and write the article together. Jing Zhao (Corresponding Author) give the idea and experiments support.
Xujun He, Zengzhe Lai, Huatong Zhang help to finish the experiment on article.

E TH I C A L S TATEM ENT
Ethical Review: This study does not involve any human or animal testing.

I N FO R M E D CO N S E NT
Written informed consent was obtained from all study participants.