Skip to main content

ORIGINAL RESEARCH article

Front. Microbiol., 06 September 2022
Sec. Food Microbiology

A new multiplex PCR for the accurate identification and differentiation of Salmonella enterica serovar Gallinarum biovars Pullorum and Gallinarum

Dan Xiong,,,Dan Xiong1,2,3,4Li Yuan,,,Li Yuan1,2,3,4Li Song,,,Li Song1,2,3,4Xinan Jiao,,,
Xinan Jiao1,2,3,4*Zhiming Pan,,,
Zhiming Pan1,2,3,4*
  • 1Jiangsu Key Laboratory of Zoonosis, Yangzhou University, Yangzhou, Jiangsu, China
  • 2Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Yangzhou University, Yangzhou, Jiangsu, China
  • 3Key Laboratory of Prevention and Control of Biological Hazard Factors (Animal Origin) for Agrifood Safety and Quality, Ministry of Agriculture of China, Yangzhou University, Yangzhou, Jiangsu, China
  • 4Joint International Research Laboratory of Agriculture and Agri-product Safety of the Ministry of Education, Yangzhou University, Yangzhou, Jiangsu, China

Salmonella enterica serovar Gallinarum biovars Gallinarum and Pullorum cause severe chicken salmonellosis, a disease associated with high mortality and morbidity among chickens worldwide. The conventional serotyping and biochemical reactions have been used to identify Salmonella serovars. However, the conventional methods are complicated, time-consuming, laborious, and expensive. Furthermore, it is challenging to distinguish S. Gallinarum and S. Pullorum via biochemical assays and serotyping because of their antigenic similarity. Although various PCR methods were established, a PCR protocol to detect and discriminate S. Gallinarum and S. Pullorum simultaneously is lacking. Herein, a one-step multiplex PCR method was established for the accurate identification and discrimination of S. Pullorum and S. Gallinarum. Three specific genes were used for the multiplex PCR method, with the I137_14445 and ybgL genes being the key targets to identify and differentiate S. Gallinarum and S. Pullorum, and stn being included as a reference gene for the Salmonella genus. In silico analysis showed that the I137_14445 gene is present in all Salmonella serovars, except for S. Gallinarum, and could therefore be used for the identification of S. Gallinarum. A 68-bp sequence deficiency in ybgL was found only in S. Pullorum compared to other Salmonella serovars, and this could therefore be used for the specific identification of S. Pullorum. The developed PCR assay was able to distinguish S. Gallinarum and S. Pullorum among 75 various Salmonella strains and 43 various non-Salmonella pathogens with excellent specificity. The detection limit for the genomic DNA of S. Gallinarum and S. Pullorum was 21.4 pg./μL, and the detectable limit for bacterial cells was 100 CFU. The developed PCR method was used for the analysis of Salmonella isolates in a chicken farm. This PCR system successfully discriminated S. Gallinarum and S. Pullorum from other different Salmonella serovars. The PCR results were confirmed by the conventional serotyping method. The newly established multiplex PCR is a simple, accurate, and cost-effective method for the timely identification and differentiation of S. Pullorum and S. Gallinarum.

Introduction

Salmonella enterica can cause severe enteric fever, gastroenteritis, and septicemia, leading to serious public health problems globally (Foley and Lynne, 2008; Odoch et al., 2017; Williams et al., 2022). Salmonella spp. contains over 2,650 serovars by the diverse combinations of lipopolysaccharide (O antigens) and flagellar structure (H antigens; Guibourdenche et al., 2010; Cheng et al., 2019). However, some Salmonella serovars are only infectious to the specific hosts (Saeki et al., 2013; Zhu et al., 2015).

Fowl typhoid (FT) and Pullorum disease (PD) are caused by Salmonella enterica serovar Gallinarum biovars Gallinarum (S. gallinarum) and Pullorum (S. pullorum), respectively. The two types of septicemic diseases have significant effects on poultry industry, resulting in serious economic losses in many countries (Foley et al., 2011). PD, caused by S. pullorum, is associated with high mortality and morbidity rates among the young chicks, especially those less than 3 weeks of age. The characteristics of the infected chicks are the acute septicemia and white viscous diarrhea (Rettger, 1909). S. Pullorum can also be transmitted to the eggs through the ovary in the infected hens, resulting in both horizontal and vertical transmission and causing serious economic burden for the poultry industry (Geng et al., 2017; Xu et al., 2018). S. Gallinarum, a close relative of S. Pullorum, can lead to chronic and acute septicemia in different ages of poultry, and is a host-specific pathogen causing FT (Barrow and Freitas Neto, 2011).

The White–Kauffmann–Le Minor scheme has been used as the conventional method for Salmonella serotyping. The method is based on specific O (somatic) and H (flagellar) antisera by using slide agglutination tests (Majchrzak et al., 2014). However, this method is time-consuming, taking 5–6 days for the whole procedure. Besides, the expensive typing antisera are required for the assay (Bell et al., 2016). Furthermore, the differentiation of S. Pullorum and S. Gallinarum is difficult as the same O antigens 1, 9, and 12 between them (Christensen et al., 1993). Most Salmonella species possess flagella and exhibit motility. However, S. Pullorum and S. Gallinarum are two notable exceptions, having been shown lack of motility and flagella (H antigen; Holt and Chaubal, 1997). The biochemical tests, based on the fermentation types of ornithine, spironolactone, dulcitol, and maltose, were conducted previously to identify the two Salmonella biovars (Van Immerseel et al., 2013). However, the characteristics of typical and atypical colonies by the naked eyes increased the workload because the possibility of contamination must be excluded (Bai et al., 2019).

Molecular methods have shown high ability for the sensitive and specific discrimination of different pathogens and closely related variants. The increasing development of DNA-based detection methods has been applied to identify Salmonella spp., such as amplified fragment length polymorphism, pulsed-field gel electrophoresis, and DNA–DNA microarray hybridization (Swaminathan et al., 2001; Liebana, 2002; Morales et al., 2005). More recently, whole-genome sequencing has further enhanced the genetic analysis of Salmonella. The whole bacterial genome of each strain can be determined and the results can be compared to the large genetic databases (Carroll et al., 2021; Atlaw et al., 2022). However, this method is expensive and professional technicians are required for the data analysis.

Therefore, accurate and cost-effective methods for the fast and sensitive detection of specific Salmonella serovars in poultry products are urgently needed. A number of PCR methods have been developed, and the assays demonstrated high specificity and sensitivity in detecting Salmonella serotypes using such methods (Massi et al., 2003; Kim et al., 2017). The combination of PCR and restriction fragment length polymorphism was used for the differentiation of S. Pullorum and S. Gallinarum (Ribeiro et al., 2009; Soler-García et al., 2014). However, these complex analyses have limited the diagnostic applications of assays for the differential diagnosis of PD and FT (Ren et al., 2017). A rapid and cost-effective diagnostic method is therefore in urgent need to detect and differentiate S. Gallinarum and S. Pullorum.

In this study, a new one-step multiplex PCR method was developed for the specific detection and differentiation of S. Pullorum and S. Gallinarum simultaneously. The assay involved three pairs of primers based on the I137_14445, ybgL, and stn genes. The sensitivity and specificity of the multiplex PCR method were determined, and the assay was used for the specific identification of S. Gallinarum and S. Pullorum among clinical Salmonella isolates from a chicken farm.

Materials and methods

Bacterial strains

The bacterial strains including Salmonella spp. and non-Salmonella pathogens for the development and verification of the multiplex PCR method are listed in Supplementary Table S1. A total of 75 Salmonella strains and 43 various non-Salmonella strains were used in the present study, which were isolated previously as part of our routine monitoring and were stored at the Jiangsu Key Laboratory of Zoonosis, Yangzhou University. The biochemical identification of all Salmonella strains was conducted with the API identification kits (BioMérieux, Marcy, France). The Salmonella serovars were verified with the diagnostic antisera (Tianrun Bio-Pharmaceutical, Ningbo, China) in accordance with the White–Kauffmann–Le Minor scheme. For the discrimination of S. Pullorum and S. Gallinarum, the ornithine decarboxylation and dulcitol fermentation were conducted.

Bacterial growth and genomic DNA extraction

Frozen stocks of the isolates were recovered on brain heart infusion (BHI) agar (Becton, Dickinson and Company, Sparks, MD, United States) or Luria–Bertani (LB) agar (Oxoid, Basingstoke, United Kingdom) overnight at 37°C. The bacterial strains were cultured in LB or BHI broth at 37°C for 16 h with 180 rpm for the genomic DNA extraction.

The extraction of bacterial genomic DNA was conducted with the TIANamp Bacteria DNA Kit (Tiangen, Beijing, China) in accordance with the manufacturer’s procedures. The DNA purity and concentration were determined with the NanoDrop ND-1000 (Thermo Scientific, Wilmington, DE, United States). The DNA was subsequently stored at –20°C prior to use.

In silico analysis and primer design

To establish a useful PCR method to identify and differentiate the biovars S. Gallinarum and S. Pullorum, we analyzed differences in the nucleotide sequences of the I137_14445 and ybgL genes. The genes I137_14445 (GenBank acc. no. CP006575.1, region 3,087,481–3,088,224) and ybgL (GenBank acc. no. AM933173.1, region 770825-771559) were searched in the non-redundant nucleotide collection (nr/nt) database. The displayed number of nucleotide sequences was set to the maximum value of 5,000 to ensure that all aligned sequences in the database were included. DNA sequence alignment of I137_14445 and ybgL genes from S. Pullorum, S. Gallinarum and other Salmonella serotypes was performed using ClustalW. Three pairs of primers were optimized for the development of the multiplex PCR. The positions of the designed primers were based on the gap in the ybgL gene, the unique sequence in the I137_14445 gene, and a conserved sequence to all Salmonella serotypes in the stn gene. The primers were designed by length so that they could be distinguished on an agarose gel. The first primers of I137_14445-F/R amplified a 525-bp product to differentiate S. Gallinarum from other serovars. The second primer set, ybgL-F/R, amplified a 307-bp fragment to allow for the discrimination of S. Pullorum. The third primer set, stn-F/R, amplified a 731-bp fragment to identify the Salmonella genus from other microorganisms (Table 1). The three primer sets were designed and checked using the software Primer Premier 5.0. The primer specificity was determined with the basic local alignment search tool (BLASTn; NCBI, Bethesda, MD, United States). The primers were commercially synthesized by GenScript (Nanjing, China).

TABLE 1
www.frontiersin.org

Table 1. Primer sequences for the specific detection and differentiation of S. gallinarum and S. pullorum with the multiplex PCR system.

Development and optimization of the multiplex PCR assay

The multiplex PCR system was conducted in a final volume of 25 μl, including 2 × Taq Master mix (12.5 μl; Vazyme, Nanjing, China), the I137_14445 F/R primers (80 nM), the ybgL-F/R primers (80 nM), the stn-F/R primers (40 nM), and the bacterial genomic DNA (100 ng). The PCR reaction was conducted in a T100 Thermal Cycler (Bio-Rad, Hercules, CA, United States), and programmed as an initial denaturation at 94°C for 3 min; 30 sequential cycles of 94°C for 40 s, 53°C for 30 s, and 72°C for 60 s; and a final step of 72°C for 10 min. The PCR products were stained with GelRed Nucleic Acid Gel Stain (Biotium, Fremont, CA, United States) following 1% agarose gel electrophoresis. The visualization of the amplified PCR fragments was obtained by using the Gel Doc XR Gel Documentation System (Bio-Rad).

Specificity of the multiplex PCR assay

The specificity of the multiplex PCR method was determined by using the genomic DNA extracted from 12 S. Pullorum strains, 4 S. Gallinarum strains, 59 strains from other Salmonella serovars, and 43 non-Salmonella pathogens. Detailed information for these strains is presented in Supplementary Table S1.

Sensitivity of the multiplex PCR assay

The PCR sensitivity was conducted to evaluate the detection limit of the method. The bacterial genomic DNA was from the two Salmonella biovars S. Gallinarum strain SG9 and S. Pullorum strain S06004. A serial dilution (10-fold) was obtained from 21.4 to 2.14 pg./μl to serve as the templates in the developed multiplex PCR method. Overnight cultured bacteria of S. Pullorum and S. Gallinarum were washed twice with PBS and the optical densities at 600 nm (OD600) of the two strains were adjusted to 1. The CFU concentrations of the two strains when the OD600 = 1 were determined by plate counts. Freshly cultured bacteria were adjusted to the OD600 = 1 and diluted to the same CFU concentrations with PBS. The bacteria were serially diluted (10-fold) from 2 × 107 to 2 × 103 CFU/ml, and the bacterial concentrations were verified by plate counts. The genomic DNA was extracted from these diluted bacterial suspensions, and 5 μl of the extracted DNA was served as a template in the multiplex PCR.

Analysis of chicken egg samples using the PCR assay

Naturally contaminated samples were collected from clinically dead eggs from a chicken farm in Yangzhou, China. The isolation of Salmonella pathogens from the chicken egg samples were conducted as previously described (Cai et al., 2016; Zhou et al., 2017). In brief, each sample was pre-enriched at 37°C for 24 h in 50 ml of buffered peptone water (Difco, BD, Sparks, MD, United States). The bacterial culture was streaked onto xylose lysine tergitol 4 (Difco, BD) agar, and incubated at 37°C for 16 h. The presumptive Salmonella colonies were individually picked as templates for the multiplex PCR. Meanwhile, each sample was also subjected to a standard traditional serum agglutination assay.

Results and discussion

Sequence alignment analysis and primer design

Due to the advantages of rapidity, specificity and sensitivity, PCR has been used widely to detect and identify the particular bacterial pathogens. The choice of target is key to the development of a specific and sensitive PCR assay. In silico analysis confirmed the presence of the I137_14445 gene in all Salmonella serovars except for S. Gallinarum, indicating that this discrepancy could be used for the identification of S. Gallinarum. A 68-bp region in the ybgL gene was present in S. Gallinarum and other Salmonella serovars but deleted in S. Pullorum, and this region could therefore be targeted for the specific identification of S. Pullorum (Figure 1). Thus, the I137_14445 and ybgL genes could be used as targets for the accurate identification and differentiation of S. Gallinarum and S. Pullorum, and the stn gene was used as a reference gene for the Salmonella genus. Specific primer sets were designed to target these three DNA fragments (Table 1).

FIGURE 1
www.frontiersin.org

Figure 1. DNA sequence alignment of I137_14445 and ybgL genes from S. Pullorum, S.Gallinarum, and other Salmonella serotypes. (A) The I137_14445 gene is present in all Salmonella serovars except for S. Gallinarum, and this discrepancy could be used for the identification of S. Gallinarum. (B) A 68-bp region in the ybgL gene was present in S. Gallinarum and other Salmonella serovars but deleted in S. Pullorum, which allowed for the specific identification of S. Pullorum. The positions of the designed primers are indicated with the black arrows. SDe, S. Derby 2014LSAL02547 (GenBank acc. no. CP029486.1); SK, S. Kentucky 161,365 (GenBank acc. no. CP043664.1); SP1, S. Pullorum S06004 (GenBank acc. no. CP006575.1); SP2, S. Pullorum ATCC9120 (GenBank acc. no. CP012347.1); SP3, S. Pullorum CFSAN022627 (GenBank acc. no. CP075028.1); SE, S. Enteritidis P125109 (GenBank acc. no. CP063700.1); SG1, S. Gallinarum 287/91 (GenBank acc. no. AM933173.1); SG2, S. Gallinarum 9,184 (GenBank acc. no. CP019035.1); SG3, S. Gallinarum 07Q015 (GenBank acc. no. CP077760.1); STy, S. typhimurium FORC50 (GenBank acc. no. CP019383.1); SDu, S. Dublin CVM22429 (GenBank acc. no. CP032396.1); STh, S. Thompson SH11G0791 (GenBank acc. no. CP041171.1); SN, S. Newport CFSAN003387 (GenBank acc. no. CP016014.1); SL, S. London CVMN17S347 (GenBank acc. no. CP082711.1).

Other new genes have been reported for the identification of Salmonella. The ipaJ gene of S. Pullorum was used for the development of a PCR method to detect S. Pullorum (Xu et al., 2018). Another PCR method was developed based on the cigR gene for the efficient detection of Salmonella and identification of S. Gallinarum/Pullorum (Zhou et al., 2020). However, these PCR methods could not identify and differentiate S. Pullorum and S. Gallinarum simultaneously. In this study, the I137_14445 and ybgL genes were used as targets to differentiate S. Gallinarum and S. Pullorum for the first time.

Specificity of the primers for S. Gallinarum and S. Pullorum identification and differentiation

The timely identification, genotyping, and serotyping of Salmonella pathogens could provide important information about the strain identification and source of infection during an outbreak (Gebreyes et al., 2006). Even so, most genotyping assays such as plasmid profile analysis, ribotyping, amplified fragment length polymorphism, and pulsed-field gel electrophoresis could not produce results consistent with Salmonella serotypes and genotypes (Bailey et al., 2002; Wang et al., 2011; Ozdemir and Acar, 2014).

In this study, the specificity of the I137_14445 and ybgL primer sets was evaluated with genomic DNA extracted from 75 Salmonella strains and 43 various non-Salmonella pathogens. The Salmonella strains included 29 various serovars (Supplementary Table S1). The results showed that for S. Pullorum, only two amplified products, 731-bp stn and 525-bp I137_14445, were generated. For S. Gallinarum, two products, 731-bp stn and 307-bp ybgL, were generated. For other Salmonella serovars, three products, stn, I137_14445, and ybgL, were amplified. By contrast, no bands were observed for the 43 non-Salmonella pathogens (Figure 2). No false negative or positive fragments were produced, suggesting that the developed multiplex PCR had high specificity. Both biovars could be identified and distinguished based on the newly developed multiplex PCR.

FIGURE 2
www.frontiersin.org

Figure 2. Specificity of the developed multiplex PCR to identify and differentiate S. Gallinarum and S. Pullorum. This developed PCR method was established on three specific targets: stn (731 bp), I137_14445 (525 bp), and ybgL (307 bp). The PCR specificity was determined with extracted genomic DNA from 12 strains of S. Pullorum, 4 strains of S. Gallinarum, 59 strains of other Salmonella serovars, and 43 strains of non-Salmonella pathogens. Two specific PCR products for the stn and I137_14445 genes could be amplified in S. Pullorum, while only products from the stn and ybgL targets could be generated in S. Gallinarum.

Previous methods were developed based on a single-nucleotide polymorphism or the variable regions of a certain gene to distinguish S. Gallinarum and S. Pullorum, such as PCR restriction fragment length polymorphism and single-stranded conformational polymorphism (Kisiela et al., 2005; Soler-García et al., 2014). However, in the present study, S. Gallinarum and S. Pullorum could be directly differentiated simultaneously based on three specific targets in a multiplex PCR. The multiplex PCR assay generated products of the I137_14445 and ybgL genes, which enabled clear discrimination between S. Gallinarum, S. Pullorum, and other serovars. Importantly, as the primers I137_14445 F/R are S. Gallinarum-specific, and the ybgL gene is S. Pullorum-specific, the two candidate genes could be used separately, to identify the two biovars, respectively.

Sensitivity of the multiplex PCR assay for S. Gallinarum and S. Pullorum identification

The genomic DNA of S. Pullorum S06004 and S. Gallinarum SG9 was diluted serially from 21.4 ng/μl to 2.14 pg./μl to evaluate the detectable concentration of the PCR method. The minimum detection limit of the three sets of primers for the identification of S. Gallinarum and S. Pullorum was 21.4 pg./μl of genomic DNA (Figure 3A). The result was comparable to the HRM-PCR method established previously (Ren et al., 2017).

FIGURE 3
www.frontiersin.org

Figure 3. The multiplex PCR sensitivity to detect and differentiate S. Gallinarum (SG9) and S. Pullorum (S06004) with genomic DNA and cells. Three specific bands are amplified correlating with the stn (731 bp), I137_14445 (525 bp), and ybgL (307 bp) genes. The sensitivity of the multiplex PCR was determined to detect the genomic DNA (A) and Salmonella cells (B). Lanes 1, 3, 5, 7, 9 (S. Pullorum) and 2, 4, 6, 8, 10 (S. Gallinarum). Different concentrations of genomic DNA were used: 21.4 ng/μL, 2.14 ng/μL, 214 pg./μL, 21.4 pg./μL, 2.14 pg./μL; bacterial cells were used as template at the following concentrations: 105, 104, 103, 102, 101 CFU.

In addition, for different concentrations of bacterial cells, the PCR products were detected successfully at concentrations ranging from 105 to 102 CFU per reaction (Figure 3B). The minimum number of detectable cells of S. Gallinarum or S. Pullorum in the developed PCR method was much lower than that of the sefA-based PCR assay (400 CFU; Gong et al., 2016), and it was comparable to the ipaJ-based PCR assay (100 CFU; Xu et al., 2018). The results showed that the multiplex PCR method has low detection limit, and thereby low concentrations of S. Gallinarum and S. Pullorum could be detected. The lowest detection limit of each single PCR reaction was also determined. The results showed that the lowest number of cells of S. Pullorum and S. Gallinarum was 10 CFU for ybgL and stn, and 100 CFU for I137_14445 (Supplementary Figure S1). As the detectable limit for bacterial cells of the developed multiplex PCR method was 100 CFU (Figure 3), the detectable limit of 100 CFU would be recommended for the accurate identification and differentiation of S. Pullorum and S. Gallinarum.

Application of the S. Pullorum- and S. Gallinarum-specific multiplex PCR assay

S. Gallinarum and S. Pullorum can cause FT and PD respectively, and thus resulted in substantial economic losses of livestock (Ren et al., 2017). Some prevalent poultry bacterial diseases are caused by S. Gallinarum and S. Pullorum (Gong et al., 2014). Traditional assays for the identification of Salmonella serovars relied on diagnostic serological agglutination. However, the cross-reactivity could occur with S. Enteritidis or other serogroup D serovars (Ren et al., 2017).

The phenotypic characterization of Salmonella serovars has been mainly based on the serotyping. However, incorporation of serotyping analysis with other identification and molecular typing methods is often necessary for the rapid determination of the epidemiological linkage (Liu et al., 2011). Although various PCR methods have been developed to identify different serovars, including a multiplex qPCR assay (Rubio et al., 2017) and a duplex PCR assay (Batista et al., 2016) for detecting S. Gallinarum and S. Pullorum, few molecular methods are available to detect and differentiate S. Pullorum and S. Gallinarum simultaneously. The PCR assay developed in this study satisfies this requirement, and could contribute to the purification of the two Salmonella biovars in the poultry farms.

A total of 24 unknown serovars of Salmonella isolates were tested using our newly developed multiplex PCR method. The results showed that ten isolates produced the specific 731-bp target band of the stn gene and the 525-bp target band of the I137_14445 gene, suggesting that these isolates were S. Pullorum. Two isolates produced the specific 731-bp target band of stn and the 307-bp target band of ybgL, indicating that these isolates were S. Gallinarum (Table 2). The multiplex PCR results were completely concordant with the conventional serotyping assay. Traditional serotyping method is complicated including non-selective and selective enrichment, biochemical identification, and serological characterization (Ren et al., 2017), which are time- and labor-intensive processes. The developed PCR assay presented in this study has the ability to detect and differentiate S. Pullorum and S. Gallinarum within 2 h, thereby greatly shortening the time required for serotype identification. However, it would not be able to identify the serovars if it is a mixture of S. Gallinarum/Pullorum and other Salmonella serotypes. A mixture of different Salmonella serovars will produce all three bands, and S. Pullorum and S. Gallinarum could not been identified and distinguished. Thus, the developed multiplex PCR method is suitable to identify the purified colonies or cultures.

TABLE 2
www.frontiersin.org

Table 2. The developed multiplex PCR method was applied for the identification of Salmonella isolates from one chicken farm.

Conclusion

In summary, we established a multiplex PCR method that could detect and differentiate S. Pullorum and S. Gallinarum simultaneously based on three specific gene targets for the first time. Our assay exhibited efficient identification of both cultured bacteria and clinical Salmonella isolates. The results indicate that this multiplex PCR assay represents a one-step, economical, and accurate procedure for the sensitive, specific, and rapid identification of S. Gallinarum and S. Pullorum, respectively. The newly established PCR method could timely detect the presence of serovars Pullorum and Gallinarum accurately, especially when large quantities of samples to be tested, potentially facilitating the implementation of more timely and efficient control measures for PD or FT.

Data availability statement

The original contributions presented in the study are included in the article/Supplementary material, further inquiries can be directed to the corresponding authors.

Author contributions

XJ, ZP, and DX designed the experiments. DX, LY, and LS performed the PCR assays and analyzed the results. XJ, ZP, and DX wrote the paper. All authors contributed to the article and approved the submitted version.

Funding

This work was supported by the National Natural Science Foundation of China (nos. 32102669, 31972685, and 31920103015), the Natural Science Foundation of Jiangsu Province (BK20210802), the China Postdoctoral Science Foundation (2020M681748), the Postdoctoral Science Foundation of Jiangsu Province (2021K095A), and the Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD).

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary material

The Supplementary material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fmicb.2022.983942/full#supplementary-material

References

Atlaw, N. A., Keelara, S., Correa, M., Foster, D., Gebreyes, W., Aidara-Kane, A., et al. (2022). Evidence of sheep and abattoir environment as important reservoirs of multidrug resistant salmonella and extended-spectrum beta-lactamase Escherichia coli. Int. J. Food Microbiol. 363:109516. doi: 10.1016/j.ijfoodmicro.2021.109516

PubMed Abstract | CrossRef Full Text | Google Scholar

Bai, Y., Cui, Y., Suo, Y., Shi, C., Wang, D., and Shi, X. (2019). A rapid method for detection of salmonella in milk based on extraction of mRNA using magnetic capture probes and RT-qPCR. Front. Microbiol. 10:770. doi: 10.3389/fmicb.2019.00770

PubMed Abstract | CrossRef Full Text | Google Scholar

Bailey, J. S., Fedorka-Cray, P. J., Stern, N. J., Craven, S. E., Cox, N. A., and Cosby, D. E. (2002). Serotyping and ribotyping of salmonella using restriction enzyme PvuII. J. Food Prot. 65, 1005–1007. doi: 10.4315/0362-028X-65.6.1005

PubMed Abstract | CrossRef Full Text | Google Scholar

Barrow, P. A., and Freitas Neto, O. C. (2011). Pullorum disease and fowl typhoid-new thoughts on old diseases: a review. Avian Pathol. 40, 1–13. doi: 10.1080/03079457.2010.542575

PubMed Abstract | CrossRef Full Text | Google Scholar

Batista, D. F., de Freitas Neto, O. C., de Almeida, A. M., Barrow, P. A., de Oliveira Barbosa, F., and Berchieri Junior, A. (2016). Molecular identification of salmonella enterica subsp. enterica serovar Gallinarum biovars Gallinarum and Pullorum by a duplex PCR assay. J. Vet. Diagn. Investig. 28, 419–422. doi: 10.1177/1040638716651466

PubMed Abstract | CrossRef Full Text | Google Scholar

Bell, R. L., Jarvis, K. G., Ottesen, A. R., McFarland, M. A., and Brown, E. W. (2016). Recent and emerging innovations in salmonella detection: a food and environmental perspective. Microb. Biotechnol. 9, 279–292. doi: 10.1111/1751-7915.12359

PubMed Abstract | CrossRef Full Text | Google Scholar

Cai, Y., Tao, J., Jiao, Y., Fei, X., Zhou, L., Wang, Y., et al. (2016). Phenotypic characteristics and genotypic correlation between salmonella isolates from a slaughterhouse and retail markets in Yangzhou. China. Int. J. Food Microbiol. 222, 56–64. doi: 10.1016/j.ijfoodmicro.2016.01.020

PubMed Abstract | CrossRef Full Text | Google Scholar

Carroll, L. M., Buehler, A. J., Gaballa, A., Siler, J. D., Cummings, K. J., Cheng, R. A., et al. (2021). Monitoring the microevolution of salmonella enterica in healthy dairy cattle populations at the individual farm level using whole-genome sequencing. Front. Microbiol. 12:763669. doi: 10.3389/fmicb.2021.763669

PubMed Abstract | CrossRef Full Text | Google Scholar

Cheng, R. A., Eade, C. R., and Wiedmann, M. (2019). Embracing diversity: differences in virulence mechanisms, disease severity, and host adaptations contribute to the success of nontyphoidal salmonella as a foodborne pathogen. Front. Microbiol. 10:1368. doi: 10.3389/fmicb.2019.01368

PubMed Abstract | CrossRef Full Text | Google Scholar

Christensen, J. P., Olsen, J. E., and Bisgaard, M. (1993). Ribotypes of salmonella enterica serovar Gallinarum biovars gallinarum and pullorum. Avian Pathol. 22, 725–738. doi: 10.1080/03079459308418960

PubMed Abstract | CrossRef Full Text | Google Scholar

Foley, S. L., and Lynne, A. M. (2008). Food animal-associated salmonella challenges: pathogenicity and antimicrobial resistance. J. Anim. Sci. 86, E173–E187. doi: 10.2527/jas.2007-0447

CrossRef Full Text | Google Scholar

Foley, S. L., Nayak, R., Hanning, I. B., Johnson, T. J., Han, J., and Ricke, S. C. (2011). Population dynamics of salmonella enterica serotypes in commercial egg and poultry production. Appl. Environ. Microbiol. 77, 4273–4279. doi: 10.1128/AEM.00598-11

PubMed Abstract | CrossRef Full Text | Google Scholar

Gebreyes, W. A., Altier, C., and Thakur, S. (2006). Molecular epidemiology and diversity of salmonella serovar Typhimurium in pigs using phenotypic and genotypic approaches. Epidemiol. Infect. 134, 187–198. doi: 10.1017/S0950268805004723

PubMed Abstract | CrossRef Full Text | Google Scholar

Geng, S., Tian, Q., Guo, R., Jiao, Y., Barrow, P., Yin, C., et al. (2017). Identification by PCR signature-tagged mutagenesis of attenuated salmonella Pullorum mutants and corresponding genes in a chicken embryo model. Microb. Pathog. 104, 146–150. doi: 10.1016/j.micpath.2017.01.014

PubMed Abstract | CrossRef Full Text | Google Scholar

Gong, J., Zhang, J., Xu, M., Zhu, C., Yu, Y., Liu, X., et al. (2014). Prevalence and fimbrial genotype distribution of poultry salmonella isolates in China (2006 to 2012). Appl. Environ. Microbiol. 80, 687–693. doi: 10.1128/AEM.03223-13

PubMed Abstract | CrossRef Full Text | Google Scholar

Gong, J., Zhuang, L., Zhu, C., Shi, S., Zhang, D., Zhang, L., et al. (2016). Loop-mediated isothermal amplification of the sefA gene for rapid detection of salmonella Enteritidis and salmonella Gallinarum in chickens. Foodborne Pathog. Dis. 13, 177–181. doi: 10.1089/fpd.2015.2082

CrossRef Full Text | Google Scholar

Guibourdenche, M., Roggentin, P., Mikoleit, M., Fields, P. I., Bockemühl, J., Grimont, P. A., et al. (2010). Supplement 2003-2007 (no. 47) to the White–Kauffmann-Le minor scheme. Res. Microbiol. 161, 26–29. doi: 10.1016/j.resmic.2009.10.002

PubMed Abstract | CrossRef Full Text | Google Scholar

Holt, P. S., and Chaubal, L. H. (1997). Detection of motility and putative synthesis of flagellar proteins in salmonella pullorum cultures. J. Clin. Microbiol. 35, 1016–1020. doi: 10.1128/jcm.35.4.1016-1020.1997

PubMed Abstract | CrossRef Full Text | Google Scholar

Kim, T. H., Hwang, H. J., and Kim, J. H. (2017). Development of a novel, rapid multiplex polymerase chain reaction assay for the detection and differentiation of Salmonella enterica serovars Enteritidis and Typhimurium using ultra-fast convection polymerase chain reaction. Foodborne Pathog. Dis. 14, 580–586. doi: 10.1089/fpd.2017.2290

PubMed Abstract | CrossRef Full Text | Google Scholar

Kisiela, D., Kuczkowski, M., Kiczak, L., Wieliczko, A., and Ugorski, M. (2005). Differentiation of salmonella Gallinarum biovar Gallinarum from salmonella Gallinarum biovar Pullorum by PCR-RFLP of the fimH gene. J. Vet. Med. B Infect. Dis. Vet. Public Health. 52, 214–218. doi: 10.1111/j.1439-0450.2005.00846.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Liebana, E. (2002). Molecular tools for epidemiological investigations of S. enterica subspecies enterica infections. Res. Vet. Sci. 72, 169–175. doi: 10.1053/rvsc.2001.0550

PubMed Abstract | CrossRef Full Text | Google Scholar

Liu, B., Zhang, L., Zhu, X., Shi, C., Chen, J., Liu, W., et al. (2011). PCR identification of salmonella serogroups based on specific targets obtained by comparative genomics. Int. J. Food Microbiol. 144, 511–518. doi: 10.1016/j.ijfoodmicro.2010.11.010

PubMed Abstract | CrossRef Full Text | Google Scholar

Majchrzak, M., Krzyzanowska, A., Kubiak, A. B., Wojtasik, A., Wolkowicz, T., Szych, J., et al. (2014). TRS-based PCR as a potential tool for inter-serovar discrimination of salmonella Enteritidis, S. Typhimurium, S. Infantis, S. Virchow, S. Hadar, S. Newport and S. Anatum. Mol. Biol. Rep. 41, 7121–7132. doi: 10.1007/s11033-014-3592-9

PubMed Abstract | CrossRef Full Text | Google Scholar

Massi, M. N., Shirakawa, T., Gotoh, A., Bishnu, A., Hatta, M., and Kawabata, M. (2003). Rapid diagnosis of typhoid fever by PCR assay using one pair of primers from flagellin gene of salmonella typhi. J. Infect. Chemother. 9, 233–237. doi: 10.1007/s10156-003-0256-4

PubMed Abstract | CrossRef Full Text | Google Scholar

Morales, C. A., Porwollik, S., Frye, J. G., Kinde, H., McClelland, M., and Guard-Bouldin, J. (2005). Correlation of phenotype with the genotype of egg-contaminating salmonella enterica serovar Enteritidis. Appl. Environ. Microbiol. 71, 4388–4399. doi: 10.1128/AEM.71.8.4388-4399.2005

PubMed Abstract | CrossRef Full Text | Google Scholar

Odoch, T., Wasteson, Y., L'Abée-Lund, T., Muwonge, A., Kankya, C., Nyakarahuka, L., et al. (2017). Prevalence, antimicrobial susceptibility and risk factors associated with non-typhoidal salmonella on Ugandan layer hen farms. BMC Vet. Res. 13:365. doi: 10.1186/s12917-017-1291-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Ozdemir, K., and Acar, S. (2014). Plasmid profile and pulsed-field gel electrophoresis analysis of salmonella enterica isolates from humans in Turkey. PLoS One 9:e95976. doi: 10.1371/journal.pone.0095976

PubMed Abstract | CrossRef Full Text | Google Scholar

Ren, X., Fu, Y., Xu, C., Feng, Z., Li, M., Zhang, L., et al. (2017). High resolution melting (HRM) analysis as a new tool for rapid identification of salmonella enterica serovar Gallinarum biovars Pullorum and Gallinarum. Poult. Sci. 96, 1088–1093. doi: 10.3382/ps/pew400

PubMed Abstract | CrossRef Full Text | Google Scholar

Rettger, L. F. (1909). Further studies on fatal septicemia in young chickens, or “white diarrhea.”. J. Med. Res. 21, 115–123.

Google Scholar

Ribeiro, S. A., de Paiva, J. B., Zotesso, F., Lemos, M. V., and Berchieri Jánior, A. (2009). Molecular differentiation between Salmonella enterica subsp enterica serovar Pullorum and Salmonella enterica subsp enterica serovar Gallinarum. Braz. J. Microbiol. 40, 184–188. doi: 10.1590/S1517-83822009000100032

PubMed Abstract | CrossRef Full Text | Google Scholar

Rubio, M. D. S., Penha Filho, R. A. C., Almeida, A. M., and Berchieri, A. J. (2017). Development of a multiplex qPCR in real time for quantification and differential diagnosis of Salmonella Gallinarum and Salmonella Pullorum. Avian Pathol. 46, 644–651. doi: 10.1080/03079457.2017.1339866

PubMed Abstract | CrossRef Full Text | Google Scholar

Saeki, E. K., Alves, J., Bonfante, R. C., and Hirooka, E. Y. (2013). Multiplex PCR (mPCR) for the detection of salmonella spp. and the differentiation of the Typhimurium and Enteritidis serovars in chicken meat. J. Food Safety 33, 25–29. doi: 10.1111/jfs.12019

CrossRef Full Text | Google Scholar

Soler-García, A. A., De Jesús, A. J., Taylor, K., and Brown, E. W. (2014). Differentiation of salmonella strains from the SARA, SARB and SARC reference collections by using three genes PCR-RFLP and the 2100 Agilent bioanalyzer. Front. Microbiol. 5:417. doi: 10.3389/fmicb.2014.00417

CrossRef Full Text | Google Scholar

Swaminathan, B., Barrett, T. J., Hunter, S. B., and Tauxe, R. V., CDC PulseNet Task Force (2001). PulseNet: the molecular subtyping network for foodborne bacterial disease surveillance, United States. Emerg. Infect. Dis. 7, 382–389. doi: 10.3201/eid0703.017303

PubMed Abstract | CrossRef Full Text | Google Scholar

Van Immerseel, F., Studholme, D. J., Eeckhaut, V., Heyndrickx, M., Dewulf, J., Dewaele, I., et al. (2013). Salmonella Gallinarum field isolates from laying hens are related to the vaccine strain SG9R. Vaccine 31, 4940–4945. doi: 10.1016/j.vaccine.2013.08.033

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, B., Wang, C., McKean, J. D., Logue, C. M., Gebreyes, W. A., Tivendale, K. A., et al. (2011). Salmonella enterica in swine production: assessing the association between amplified fragment length polymorphism and epidemiological units of concern. Appl. Environ. Microbiol. 77, 8080–8087. doi: 10.1128/AEM.00064-11

PubMed Abstract | CrossRef Full Text | Google Scholar

Williams, M. S., Ebel, E. D., Golden, N. J., Saini, G., Nyirabahizi, E., and Clinch, N. (2022). Assessing the effectiveness of performance standards for salmonella contamination of chicken parts. Int. J. Food Microbiol. 378:109801. doi: 10.1016/j.ijfoodmicro.2022.109801

PubMed Abstract | CrossRef Full Text | Google Scholar

Xu, L., Liu, Z., Li, Y., Yin, C., Hu, Y., Xie, X., et al. (2018). A rapid method to identify Salmonella enterica serovar Gallinarum biovar Pullorum using a specific target gene ipaJ. Avian Pathol. 47, 238–244. doi: 10.1080/03079457.2017.1412084

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhou, Y. Y., Kang, X. L., Meng, C., Xiong, D., Xu, Y., Geng, S. Z., et al. (2020). Multiple PCR assay based on the cigR gene for detection of salmonella spp. and salmonella Pullorum/Gallinarum identification. Poult. Sci. 99, 5991–5998. doi: 10.1016/j.psj.2020.07.026

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhou, Z., Li, J., Zheng, H., Jin, X., Shen, Y., Lei, T., et al. (2017). Diversity of salmonella isolates and their distribution in a pig slaughterhouse in Huaian, China. Food Control 78, 238–246. doi: 10.1016/j.foodcont.2017.02.064

CrossRef Full Text | Google Scholar

Zhu, C., Yue, M., Rankin, S., Weill, F. X., Frey, J., and Schifferli, D. M. (2015). One-step identification of five prominent chicken salmonella serovars and biotypes. J. Clin. Microbiol. 53, 3881–3883. doi: 10.1128/JCM.01976-15

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: Salmonella pullorum, Salmonella gallinarum, multiplex PCR, I137_14445, ybgL, accurate differentiation

Citation: Xiong D, Yuan L, Song L, Jiao X and Pan Z (2022) A new multiplex PCR for the accurate identification and differentiation of Salmonella enterica serovar Gallinarum biovars Pullorum and Gallinarum. Front. Microbiol. 13:983942. doi: 10.3389/fmicb.2022.983942

Received: 01 July 2022; Accepted: 22 August 2022;
Published: 06 September 2022.

Edited by:

James L. Bono, Agricultural Research Service (USDA), United States

Reviewed by:

Tengfei Zhang, Hubei Academy of Agricultural Sciences, China
Lisa M. Hodges, Canadian Food Inspection Agency, Canada

Copyright © 2022 Xiong, Yuan, Song, Jiao and Pan. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Xinan Jiao, amlhb0B5enUuZWR1LmNu; Zhiming Pan, em1wYW5AeXp1LmVkdS5jbg==

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.