Skip to main content
  • Original article
  • Open access
  • Published:

Development of a multiplex PCR assay for the simultaneous and rapid detection of six pathogenic bacteria in poultry

Abstract

Escherichia coli, Pasteurella multocida, Proteus mirabilis, Pseudomonas aeruginosa, Salmonella spp. and Staphylococcus aureus are six bacterial pathogens of avian. However, these pathogens may cause many similar pathological changes, resulting in clinical isolates that are difficult to quickly and simultaneously detect and identify. Here, a multiplex polymerase chain reaction (m-PCR) assay is reported to rapidly identify targets genes (phoA, KMT1, ureR, toxA, invA, and nuc) of these six pathogens in clinical samples. Six pairs of specific primers were designed. The optimal reaction conditions, specificity, and sensitivity of the m-PCR assay were investigated. The results showed that betaine remarkably improved amplification of the target genes. Specific test results showed that all six pathogens were detected by the proposed m-PCR protocol without cross-amplification with viruses or parasites. Sensitivity test results showed that the m-PCR system could amplify the six target genes from bacterial genomes or cultures with template amounts of 500 pg or 2.8–8.6 × 103 colony forming units, respectively. Furthermore, the six bacterial pathogens isolated from the infected tissue samples were successfully identified. The proposed m-PCR assay is a useful tool to monitor and diagnose bacterial infection in birds with high specificity, sensitivity and throughput.

Introduction

Several factors have been linked to the spread of pathogenic bacteria to poultry, including the expansion of the poultry industry, the increased mobility of humans and animals, water pollution, environmental climate change (Rodriguez-siek et al. 2005; Benskin et al. 2009). Furthermore, antibiotic administration is conventionally used for the control of bacterial diseases in poultry. However, the failure to diagnose the bacterial diseases of poultry, which may result in the misuse of antibiotic regimens and subsequent severe economic losses to the poultry industry and potential public health risks due to the consumption of contaminated poultry products (Van Den Bogaard et al. 2002).

A variety of methods have been established for the effective diagnosis of avian bacterial diseases, which include antigen-specific enzyme-linked immunosorbent assays (ELISAs), immunogold labeling and various other molecular biology techniques (Kotetishvili et al. 2002; Yano et al. 2007; Reischl 1996), especially polymerase chain reaction (PCR) technologies. However, the failure of multi-pathogen detection still was one of major deficiencies to these detection methods. For example, Park et al. (2011) established a triple PCR method for analysis of Campylobacter spp., Escherichia coli O157:H7 and Salmonella serotypes. Hu et al. (2011) established a triple PCR method for analysis of Riemerella anatipestifer, Escherichia coli (E. coli) and Salmonella with high sensitivity and specificity. Moreover, Belgrader et al. (1999) developed a rapid PCR assay that detected bacteria in 7 min and Han et al. (2011) established a loop-mediated isothermal amplification technique based on the GroEL gene for rapid detection of Riemerella anatipestifer.

Furthermore, although the most important diseases are viral in poultry, the bacterial diseases are also important, some studies have shown that the main bacterial pathogens of poultry (including avian pathogenic Escherichia coli, Pasteurella multocida, Salmonella spp. and Staphylococcus aureus) also caused severe economic losses and restricted the development of the poultry industry (Bisgaard 1993). In addition, although Proteus mirabilis and Pseudomonas aeruginosa are not considered among major bacterial pathogens for chickens, which still may spontaneously cause infection for chickens (Walker et al. 2002). More importantly, bacterial and viral infections often occur simultaneously, but the similarity of clinical signs of infected animals and the lack of high-throughput methods for the detection of pathogens, especially opportunistic species, such as Proteus mirabilis and Pseudomonas aeruginosa, have seriously hampered the control of epidemic diseases (Salmon and Watts 2000; Tanaka et al. 1995). Additionally, the sensitivity and specificity of colloidal gold detection technologies and ELISA techniques are relatively low, but yet these tests are costly. In contrast, multiplex PCR (m-PCR) can detect multiple pathogens with only one reaction with high sensitivity and specificity to distinguish between very closely related organisms, which greatly reduce costs. Hence, m-PCR is a promising tool for the efficient and accurate identification of pathogenic microbes.

To address these problems, a m-PCR assay for the simultaneous and rapid detection of six bacterial pathogens of poultry was developed in this study. The m-PCR assay showed high specificity, sensitivity and throughput, which should facilitate the prevention and rapid diagnosis of avian bacterial diseases.

Materials and methods

Bacterial strains and growth conditions

Six pathogenic bacteria were isolated from diseased birds (Table 1). The bacterial, viruses and parasites were preserved in our laboratory (Table 1). Pasteurella multocida was cultured in sterile Martin broth medium (Qingdao Hope Bio-Technology Co., Ltd., Qingdao, Shandong, China) overnight at 37 °C. Streptococcus suis was cultured in sterilized Todd-Hewitt broth (BD Medical Technology Ltd., New Jersey, USA) at 37 °C. Listeria monocytogenes were cultured in Brain–Heart Infusion broth (BD Medical Technology Ltd., New Jersey, USA) at 37 °C. Escherichia coli, Proteus mirabilis, Pseudomonas aeruginosa, Salmonella spp. and Staphylococcus aureus and the other bacteria were all cultured overnight at 37 °C in sterilized Luria–Bertani (LB) broth (Oxoid Ltd., Hampshire, UK).

Table 1 Pathogens used in this study

All bacteria were cultured until the mid-log phase, and then the bacterial genomes were extracted according to the previous methods (Velegraki et al. 1999) with some modifications. The genomes of the parasites and viruses were preserved in our laboratory.

The enzymes Ex Taq polymerase (Mg2+ free) (Lot#KA7201HA), loading buffer (Lot#KA701A), and DNA Maker (Lot#A2301A) were purchased from TaKaRa Biotechnology Co., Ltd. (Dalian, China). A genome extraction kit was purchased from Tiangen Biotech Co., Ltd. (Beijing, China). Betaine was purchased from Sigma-Aldrich Corporation (St. Louis, MO, USA).

Numbers of colony forming units (CFU) of the six pathogens

After culturing of the six pathogenic bacteria overnight on agar plates, the cells were collected and washed twice with phosphate-buffered saline. The optical density at 600 nm (OD600) of the bacterial suspensions was adjusted to 1, then 104-, 105-, 106-, and 107-fold dilutions were prepared. Aliquots (2 μL) of the bacteria solution were placed in agar plates, which were cultured overnight at 37 °C. After 12 h, the CFUs of six pathogens (OD600 = 1.0) were counted, respectively.

Design of primers and amplification of target genes

In this study, m-PCR assay primers were designed with Primer premier 5.0 software (Premier Biosoft International, Palo Alto, CA, USA) according to the conserved regions of the following target genes: Escherichia coli phoA gene (NC_000913.3), Pasteurella multocida KMT1 gene (NZ_CP008918.1), Proteus mirabilis ureR gene (NC_010554.1), Pseudomonas aeruginosa toxA gene (CP017306.1), Salmonella spp. invA gene (AE014613.1), and Staphylococcus aureus gene (AP017922.1).

The sequences of the phoA, KMT1, ureR, toxA, invA, and nuc genes were obtained from the GenBank database (http://www.ncbi.nlm.nih.gov/Genbank/). All oligonucleotide primers used in this study were synthesized by Shanghai Sunny Biotechnology Co., Ltd. (Shanghai, China). The sequences of the PCR primers are shown in Table 2.

Table 2 Primers used in this study

In order to evaluate and verify the specificity of the primers, PCR analysis was performed using the genomes of the six pathogens as DNA templates.

Optimization of m-PCR primers

Optimization of the primer combinations was based on the orthogonal experimental method. In the 15 double combinations, the optimal combination was selected as the initial double PCR and the remaining four primer pairs (the initial concentration of each primer was 0.4 µM) were added to the double combination to form a triple PCR. An optimal triple PCR was then selected and the remaining three primer pairs were added to form a quadruple PCR, until completion of the m-PCR.

After the addition of a new primer pair to an optimal PCR, if the combination was not optimal, the primers were redesigned, and then the concentration of each primer was adjusted from initial concentration of 0.4 µM to achieve the best results.

Optimization of m-PCR conditions

The PCR reaction is affected by many factors. Therefore, the parameters of the m-PCR assay were optimized by varying concentration of deoxyribonucleotide triphosphate (dNTPs; 0.1–0.4 mM), Mg2+ (0.2–0.5 mM), Taq DNA polymerase (1.0, 1.5, 2.0, and 2.5 U), and betaine (0.05–0.4 mM) in a 25-µL reaction volume.

A mixture of the genomic DNA, which contained same amount of genomic DNA of the six types of bacteria, was used as a template to amplify the corresponding target genes. The total volume of each reaction system (recommended system) was 25 μL, which included 1 μL of template DNA (about 150 ng of genomic DNA).

PCR cycles were as follows: pre-denaturation at 94 °C for 4 min, denaturation at 94 °C for 40 s, annealing at 58 °C for 30 s, extension at 72 °C for 1 min, for 25–35 cycles, extension at 72 °C for 10 min, and preservation at 16 °C. After the reaction, 5 μL of the reaction solution was mixed with 1 μL of loading buffer (6×; TaKaRa Biotechnology) for 1.5% agarose gel electrophoresis.

Specificity of the m-PCR assay

In order to confirm the specificity of the m-PCR established in this experiment, the genomes of seven species of bacteria (including Klebsiella pneumoniae, Shigella spp., Bacillus subtilis, Bacillus cereus, Enterococcus faecalis, Listeria monocytogenes and Streptococcus suis), two avian parasites (Cryptosporidium baileyi and Eimeria tenella) and three viruses (NDV, IBDV and AIV) were selected as the DNA template for m-PCR under optimized conditions (Table 3). The m-PCR test was performed with the genomes of six bacteria as the template DNA, which served as a positive control.

Table 3 Composition of m-PCR system

Furthermore, different serotypes of bacterial species were selected to verify the specificity of the multiplex PCR detection system: including O1, O2 and O78 serotype of avian pathogenic Escherichia coli, Salmonella typhimurium, Salmonella enteritidis and Salmonella pullorum of Salmonella spp.

Sensitivity of the m-PCR assay

The sensitivity of the m-PCR assay was evaluated using a tenfold serial dilution method. Briefly, the six strains were cultured to OD600 = 1 and then diluted to 0.1, 0.01, and 0.001, and 2 µL of the above diluents were used as PCR templates.

The six strains were cultured until the mid-logarithmic phase. After extraction, the genomes were diluted to concentrations of approximately 100 ng/μL, 75 ng/μL, 50 ng/μL, 25 ng/μL, 12.5 ng/μL, 10 ng/μL, 5 ng/μL, 1 ng/μL, 500 pg/μL, and 250 pg/μL, after which 1 µL of these diluents was tested as the m-PCR template DNA for verification.

M-PCR for the detection of six pathogenic bacteria from experimentally or naturally infected tissue samples

The ability of the m-PCR assay to detect six pathogens in liver, spleen, and blood samples from experimentally infected chicks was evaluated. The 7-day-old San Huang chicks were obtained from Songjiang Chicken Farm (Shanghai, China) and were housed in cages under a controlled temperature of 28–30 °C and a 12 h light/dark cycle with free access to food and water during the study period. Briefly, 7-day-old San Huang chicks were injected with 5 × 105 CFU of Escherichia coli, 5 × 103 CFU of Pasteurella multocida, 2 × 108 CFU of Proteus mirabilis, 1 × 108 CFU of Pseudomonas aeruginosa, 5 × 104 CFU of Salmonella spp. and 2 × 107 CFU of Staphylococcus aureus in the leg muscle, respectively. Then, the liver, spleen, and blood samples were aseptically collected 24 h after injection in accordance with the guidelines of the Animal Management and Use Committee of the Shanghai Veterinary Research Institute (Chinese Academy of Agricultural Sciences). The liver, spleen, and blood samples were homogenized in phosphate-buffered saline, then cultured for 4 h in LB broth, and boiled for 5 min to extract the genomic DNA for m-PCR detection. Genomic DNA was extracted using a DNA extraction mini kit (Tiangen Biotech Co., Ltd., BeiJing, China) according to the manufacturer’s instructions. Furthermore, the 6 bacterial genome mixtures (including Escherichia coli, Pasteurella multocida, Proteus mirabilis, Pseudomonas aeruginosa, Salmonella spp. and Staphylococcus aureus) were prepared in advance as DNA template, which was used as a positive control for the m-PCR assay.

Moreover, for evaluation of the potential application of this PCR in clinical investigation, some tissue samples from diseased chicks from different poultry farms were processed during 2018–2019. The tissue samples were tested as described above.

Results

Amplification of target genes

The designed primers successfully amplified 1001 bp of the Escherichia coli PhoA gene (Fig. 1, lane 1), 755 bp of the Pasteurella multocida KMT1 gene (Fig. 1, lane 2), 509 bp of the Proteus mirabilis ureR gene (Fig. 1, lane 3), 363 bp of the Pseudomonas aeruginosa toxA gene (Fig. 1, lane 4), 256 bp of the Salmonella spp. invA gene (Fig. 1, lane 5), and 155 bp of the Staphylococcus aureus nuc gene (Fig. 1, lane 6). Different sizes of the PCR products of each target gene were produced for size discrimination by agarose gel electrophoresis.

Fig. 1
figure 1

Amplification of target gene of the multiplex PCR. Lane M: 2000 bp DNA marker; Lanes 1–6: the template of m-PCR respectively were Escherichia coli, Pasteurella multocida, Proteus mirabilis, Pseudomonas aeruginosa, Salmonella spp. and Staphylococcus aureus; Lane 7: negative control

Number of CFUs of the six pathogens

The plate counting results showed that amounts of Escherichia coli, Pasteurella multocida, Proteus mirabilis, Pseudomonas aeruginosa, Salmonella spp. and Staphylococcus aureus were 5.00 × 108, 3.08 × 108, 1.41 × 109, 4.28 × 109, 1.88 × 109, and 2.79 × 109 CFU at OD600 of 1.0, respectively. The results of three independent experiments were similar.

Optimization of the m-PCR primers

As shown in Fig. 2, of the 15 double combinations, the optimal combination of Proteus mirabilis and Salmonella spp. (Fig. 2, lane 1) was selected for the initial double PCR assay. Subsequently, a third primer pair was added to form a triple PCR. For the triple m-PCR assay, the combination of Proteus mirabilis, Salmonella spp. and Pasteurella multocida (Fig. 2, lane 2) was optimal. According to the orthogonal experiments, quadruple, quintuple, and sextuple m-PCR assays were successively established (Fig. 2, lanes 3, 4, and 5, respectively).

Fig. 2
figure 2

Optimization of the primers of m-PCR. Lane M: 2000 bp DNA marker; Lane 1: double PCR formed by Proteus mirabilis and Salmonella spp.; Lane 2: triple PCR formed by Proteus mirabilis, Salmonella spp. and Pasteurella multocida; Lane 3: quadruple PCR formed by Proteus mirabilis, Salmonella spp., Pasteurella multocida and Pseudomonas aeruginosa; Lane 4: quintuple PCR formed by Proteus mirabilis, Salmonella spp., Pasteurella multocida, Pseudomonas aeruginosa and Escherichia coli; Lane 5: sextuple PCR formed by Proteus mirabilis, Salmonella spp., Pasteurella multocida, Pseudomonas aeruginosa, Escherichia coli and Staphylococcus aureus

Optimization of the m-PCR conditions

The results showed that the optimal annealing temperature of the m-PCR reaction was 54 to 58 °C, while the optimal dNTP and Mg2+ concentrations were 0.1 mM and 2.5 mM, respectively (data not shown). The optimum betaine concentration was 0.4 M (data not shown).

In addition, the concentrations of each pair of primers were optimized based on the orthogonal experimental method, the results showed that the optimal concentrations of each pair of oligonucleotide primers were 0.2 µM (Pseudomonas aeruginosa and Pasteurella multocida), 0.4 µM (Proteus mirabilis, Salmonella spp. and Escherichia coli) and 0.8 µM (Staphylococcus aureus), respectively (data not shown).

Furthermore, the number of cycles largely determines the required total duration of the m-PCR assay. The optimal number of m-PCR cycles was 25, which is considerably shorter the normally required 30–35 cycles (Fig. 3).

Fig. 3
figure 3

Determination of time of the multiplex PCR. Lane M: 2000 bp DNA marker; Lane 1: 24 running cycles; Lane 2: 25 running cycles; Lane 3: 26 running cycles; Lane 4: 27 running cycles; Lane 5: 28 running cycles; Lane 6: 29 running cycles; Lane 7: 30 running cycles; Lane 8: 31 running cycles

Specificity of the m-PCR assay

The results showed that oligonucleotide primers specific for the phoA, KMT1, ureR, toxA, invA and nuc genes produced amplification products with sizes of 1001, 755, 509, 363, 256, and 155 bp, respectively. The addition of DNA from Klebsiella pneumoniae (Fig. 4a, lane 2), Shigella flexneri (Fig. 4a, lane 3), Bacillus subtilis (Fig. 4a, lane 4), Bacillus cereus (Fig. 4a, lane 5), Enterococcus faecalis (Fig. 4a, lane 6), Listeria monocytogenes (Fig. 4a, lane 7), Streptococcus suis (Fig. 4a, lane 8), Cryptosporidium baileyi (Fig. 4a, lane 9), Eimeria tenella (Fig. 4a, lane 10), Newcastle disease virus (NDV) (Fig. 4a, lane 11), Infectious bursal disease virus (IBDV) (Fig. 4a, lane 12) and Avian Influenza virus H9N2 (Fig. 4a, lane 13) as PCR templates did not amplify the corresponding sizes of PCR product bands.

Fig. 4
figure 4

Determination of specificity of the multiplex PCR. Lane M: 2000 bp DNA marker; a Lane 1: the template of m-PCR contain 6 bacterial genomes as positive control. Lane 2: the template of m-PCR was Klebsiella pneumoniae; Lane 3: the template of m-PCR was Shigella spp.; Lane 4: the template of m-PCR was Bacillus subtilis; Lane 5: the template of m-PCR was Bacillus cereus; Lane 6: the template of m-PCR was Enterococcus faecalis; Lane 7: the template of m-PCR was Listeria monocytogenes; Lane 8: the template of m-PCR was Streptococcus suis; Lane 9: the template of m-PCR was Cryptosporidium baileyi; Lane 10: the template of m-PCR was Eimeria tenella; Lane 11: the template of m-PCR was Newcastle disease virus (NDV); Lane 12: the template of m-PCR was Avian Influenza virus H9N2; Lane 13: the template of m-PCR was infectious bursal disease virus (IBDV); Lane 14: Negative control. b Lanes 1–3: the template of m-PCR was O1, O2 and O78 serotype of avian pathogenic Escherichia coli, respectively; Lanes 5–7: the template of m-PCR was Salmonella typhimurium, Salmonella enteritidis, Salmonella pullorum, respectively; Lanes 4, 8: negative control

Furthermore, the results also indicated that different serotypes of avian pathogenic Escherichia coli (Fig. 4b, lanes 1–3) or Salmonella spp. (Fig. 4b, lanes 5–7) could be detected by m-PCR assay.

Sensitivity of the m-PCR assay

The detection limits of the genomic DNA concentrations for Escherichia coli (Fig. 5a), Pasteurella multocida (Fig. 5b), Proteus mirabilis (Fig. 5c), Pseudomonas aeruginosa (Fig. 5d), Salmonella spp. (Fig. 5e) and Staphylococcus aureus was all about 500 pg (Fig. 5f), respectively. The detection limits of CFUs of Escherichia coli was 5 × 103 (Fig. 6a), Pasteurella multocida was 6 × 103 (Fig. 6b), Proteus mirabilis was 2.8 × 103 (Fig. 6c), Pseudomonas aeruginosa was 8.6 × 103 (Fig. 6d), Salmonella spp. was 3.2 × 103 (Fig. 6e) and Staphylococcus aureus was 5.6 × 103 (Fig. 6f), respectively. All experiments were conducted in triplicate.

Fig. 5
figure 5

Determination of the sensitivity of the multiplex PCR for bacterial genomic DNA detection. Lane M: 2000 bp DNA marker; a Lanes 1–10: the concentration of Escherichia coli DNA were 100 ng, 75 ng, 50 ng, 25 ng, 12.5 ng, 7.5 ng, 2.5 ng, 1 ng, 500 pg and 250 pg, respectively. b Lanes 1–10: the concentration of Pasteurella multocida DNA were 100 ng, 75 ng, 50 ng, 25 ng, 12.5 ng, 7.5 ng, 2.5 ng, 1 ng, 500 pg and 250 pg, respectively. c Lanes 1-8: the concentration of Proteus mirabilis DNA were 100 ng, 75 ng, 50 ng, 25 ng, 12.5 ng, 7.5 ng, 2.5 ng, 1 ng, 500 pg and 250 pg, respectively. d Lanes 1–10: the concentration of Pseudomonas aeruginosa DNA were 100 ng, 75 ng, 50 ng, 25 ng, 12.5 ng, 7.5 ng, 2.5 ng, 1 ng, 500 pg and 250 pg, respectively. e Lanes 1–10: the concentration of Salmonella spp. DNA were 100 ng, 75 ng, 50 ng, 25 ng, 12.5 ng, 7.5 ng, 2.5 ng, 1 ng, 500 pg and 250 pg, respectively. f Lanes 1–10: the concentration of Staphylococcus aureus DNA concentration were 100 ng, 75 ng, 50 ng, 25 ng, 12.5 ng, 7.5 ng, 2.5 ng, 1 ng, 500 pg and 250 pg, respectively

Fig. 6
figure 6

Determination of the sensitivity of the m-PCR for bacterial CFU detection. Lane M: 2000 bp DNA Marker. a Lanes 1–4: the template of Escherichia coli respectively were 5 × 105, 5 × 104, 5 × 103 and 5 × 102 CFU, respectively. b Lanes 1–5: the template of Pasteurella multocida respectively were 6 × 106, 6 × 105, 6 × 104, 6 × 103 and 6 × 102 CFU, respectively. c Lanes 1–5: the template of Proteus mirabilis respectively were 2.8 × 106, 2.8 × 105, 2.8 × 104, 2.8 × 103 and 2.8 × 102 CFU, respectively. d Lanes 1–5: the template of Pseudomonas aeruginosa respectively were 8.6 × 106, 8.6 × 105, 8.6 × 104, 8.6 × 103, 8.6 × 102 CFU, respectively. e Lanes 1–6: the template of Salmonella spp. respectively were 3.2 × 107, 3.2 × 106, 3.2 × 105, 3.2 × 104, 3.2 × 103 and 3.2 × 102 CFU, respectively. f Lanes 1–5: the template of Staphylococcus aureus respectively were 5.6 × 106, 5.6 × 105, 5.6 × 104, 5.6 × 103 and 5.6 × 102 CFU, respectively

M-PCR analysis of experimentally or naturally infected tissue samples

As shown by the results of experimentally infected tissue samples in Table 4, all pathogens can be detected in the liver samples, while Escherichia coli, Pasteurella multocida and Salmonella spp. were detected in the blood samples, and all, except for Proteus mirabilis, were detected in the kidney samples.

Table 4 M-PCR detection filtrates from tissues and organs after enrichment for 4 h

Besides, for evaluation of the potential application of this PCR in clinical investigation, some samples of chicks from natural outbreaks were processed during 2018–2019. These results of detection of natural infections samples showed 82 strains of Escherichia coli, 6 strains of Pasteurella multocida, 40 strains of Proteus mirabilis, 2 strains of Pseudomonas aeruginosa, 30 strains of Salmonella spp. and 5 strains of Staphylococcus aureus were identified and isolated by the assay, respectively (data not show).

The results indicated that the assay can provide specific detection of six pathogenic bacteria in experimentally or naturally infected tissue samples.

Discussion

Bacterial infection remains an important issue in the poultry industry (Cox and Pavic 2010) because of the huge economic losses due to infectivity, high mortality, and widespread drug resistance. Furthermore, the clinical signs several different bacterial pathogens are very similar and is very difficult to identified the agent without laboratorial analyses. For example, although Proteus mirabilis and Pseudomonas aeruginosa were conditional pathogens, which still could cause respiratory diseases (Walker et al. 2002), while avian pathogenic Escherichia coli and Pasteurella multocida cause high mortality in chicks (Dho-moulin and Fairbrother 1999). Hence, development an m-PCR assay with high specificity, sensitivity and throughput would be very useful for monitoring and diagnose bacterial infections in birds. However, at present, there is no molecular method for the simultaneous detection of the six major pathogens of chickens (Escherichia coli, Pasteurella multocida, Proteus mirabilis, Pseudomonas aeruginosa, Salmonella spp. and Staphylococcus aureus).

Primer specificity is a critical determinant of the success of an m-PCR assay. In this study, an m-PCR assay was developed to target specific genes of six pathogens (invA, phoA, KMT1, toxA, ureR, and nuc) based on the following previous studies. Rahn et al. (1992) reported the use of the invA gene for specific detection of Salmonella spp. Thong et al. (2011) established an m-PCR assay for detection of the phoA gene of Escherichia coli. Townsend et al. (1998) and Blackall and Miflin (2000) developed PCR assays for identification of the KMT1 gene of Pasteurella multocida. Song et al. (2000) designed specific primers for the rapid identification of the Pseudomonas aeruginosa toxA gene. The Proteus mirabilis ureR gene was identified as a transcriptional regulator of the urease enzyme (Nicholson et al. 1993) and has been used as target gene for the detection of Proteus mirabilis by PCR (Huang et al. 1999). Brakstad and Maeland (1995) established a method for the direct identification of the Staphylococcus aureus nuc gene.

Further, to test cross reaction by agents that could be found as secondary infection with avian parasites (cryptosporidium and coccidia) and viruses (NDV, IBDV and AIV) showed that the proposed m-PCR assay had very high specificity. Moreover, the specificity also was tested by the different major serotype of the avian pathogenic Escherichia coli and Salmonella spp. which were the most important bacterial pathogens of poultry according to the clinical isolation samples. In addition, in poultry infections, the major serotype of the other bacteria such as Pasteurella multocida, Proteus mirabilis, Pseudomonas aeruginosa and Staphylococcus aureus is single.

In most cases, the sensitivity of an m-PCR assay will be reduced with increased numbers of target genes in the system. However, the detection limit of the proposed m-PCR assay was 2.8–8.6 × 103 CFU of each bacterial species, which is in agreement with the results of previous studies. For example, the sensitivity of Escherichia coli detection with the proposed m-PCR assay was 103 CFU/mL, which was superior to that reported by Kong et al. (2002) of 104 CFU/mL. The detection limits of Proteus mirabilis and Pasteurella multocida were 8.6 × 103 and 2.8 × 103 CFU/mL, which were the same orders of magnitude as those reported by Huang et al. (1999), Takeuchi et al. (1996). On the contrary, previously reported PCR assays for the detection of these six pathogens were single, triple, or quadruple methods. In comparison, the PCR detection sensitivities established in this study were close to or even exceeded those of the cited PCR assays. Moreover, as compared with traditional detection methods, the six pathogens tested in this study can be detected at one time with high sensitivity, thereby greatly reducing the detection time, while improving the efficiency.

For optimization of the m-PCR assay, the concentrations of primers, Taq DNA polymerase, and dNTPs, as well as the addition of a PCR additive, were optimized in this study. In pre-experiments, the concentrations of the first primer pairs for Proteus mirabilis and Salmonella spp. were set at 0.4 µM. For the following orthogonal experiments, a third pair of primers was added and the concentration was adjusted from 0.1 to 0.8 µM until the specificity was judged as appropriate.

dNTPs are raw materials for the synthesis of target fragments. Hence, to synthesize larger target fragments, more dNTPs are consumed. In this study, the target fragments were all within 1000 bp, but six were synthesized. Therefore, under consideration of cost, we recommend a dNTP concentration of 0.25 mM to amplify the corresponding target fragments.

Betaine is widely used as an enhancer to optimize various PCR assays. For example, Marshall et al. (2015) used betaine to enhance the formation of long PCR products and Henke et al. (1997) reported that betaine improved the amplification of genes by reducing the formation of secondary structures caused by GC-rich regions. As compared to dithiothreitol and dimethyl sulfoxide, betaine had the best PCR enhancing properties at a concentration of 0.8 M for all primer pairs and was more effective since the PCR output was enhanced for all of the target fragments (Hengen 1997; Kang et al. 2005; Lajin et al. 2013). The major limitation of detection is a low quantity of the template. In this study, the addition of 0.4 M betaine improved the sensitivity of the PCR assay so that the detection limit of the sextuple PCR assay was similar to that of a single assay.

In addition, to determine whether the m-PCR assay was appropriate for the detection of pathogens in clinical and laboratory samples, 7-day-old chicks were inoculated with the six tested pathogens. Then the pathogens were enriched from the tissues and organs of chicks for detection by m-PCR. The results showed that all six pathogens were detected in the liver samples with the proposed m-PCR assay. Besides, more than 150 bacterial strains were identified and isolated from diseased chicken by the assay. The results indicated that the assay also can be used in clinical investigation.

In conclusion, a rapid diagnostic m-PCR assay was established for the detection of six pathogenic bacteria in a short time. Moreover, this method can effectively and rapidly detect most pathogenic bacterial infections in poultry with good specificity, accuracy, and sensitivity.

Availability of data and materials

The data on which the conclusions are made are all presented in this paper.

Abbreviations

m-PCR:

multiplex polymerase chain reaction

ELISAs:

enzyme-linked immunosorbent assays

LB:

Luria–Bertani

CFU:

colony forming units

References

  • Belgrader P, Benett W, Hadley D, Richards J, Stratton P, Mariella R Jr, Milanovich F (1999) PCR detection of bacteria in seven minutes. Science 284:449–450

    Article  CAS  Google Scholar 

  • Benskin CM, Wilson K, Jones K, Hartley IR (2009) Bacterial pathogens in wild birds: a review of the frequency and effects of infection. Biol Rev Camb Philos Soc 84:349–373

    Article  Google Scholar 

  • Bisgaard M (1993) Ecology and significance of Pasteurellaceae in animals. Zentralbl Bakteriol 279:7–26

    Article  CAS  Google Scholar 

  • Blackall PJ, Miflin JK (2000) Identification and typing of Pasteurella multocida: a review. Avian Pathol 29:271–287

    Article  CAS  Google Scholar 

  • Brakstad OG, Maeland JA (1995) Direct identification of Staphylococcus aureus in blood cultures by detection of the gene encoding the thermostable nuclease or the gene product. Apmis 103:209–218

    Article  CAS  Google Scholar 

  • Cox JM, Pavic A (2010) Advances in enteropathogen control in poultry production. J Appl Microbiol 108:745–755

    Article  CAS  Google Scholar 

  • Dho-Moulin M, Fairbrother JM (1999) Avian pathogenic Escherichia coli (APEC). Vet Res 30:299–316

    CAS  PubMed  Google Scholar 

  • Han X, Ding C, He L, Hu Q, Yu S (2011) Development of loop-mediated isothermal amplification (LAMP) targeting the GroEL gene for rapid detection of Riemerella anatipestifer. Avian Dis 55:379–383

    Article  Google Scholar 

  • Hengen PN (1997) Optimizing multiplex and LA-PCR with betaine. Trends Biochem Sci 22:225–226

    Article  CAS  Google Scholar 

  • Henke W, Herdel K, Jung K, Schnorr D, Loening SA (1997) Betaine improves the PCR amplification of GC-rich DNA sequences. Nucleic Acids Res 25:3957–3958

    Article  CAS  Google Scholar 

  • Hu Q, Tu J, Han X, Zhu Y, Ding C, Yu S (2011) Development of multiplex PCR assay for rapid detection of Riemerella anatipestifer, Escherichia coli, and Salmonella enterica simultaneously from ducks. J Microbiol Methods 87:64–69

    Article  CAS  Google Scholar 

  • Huang HS, Chen J, Teng LJ, Lai MK (1999) Use of polymerase chain reaction to detect Proteus mirabilis and Ureaplasma urealyticum in urinary calculi. J Formos Med Assoc 98:844–850

    CAS  PubMed  Google Scholar 

  • Kang J, Lee MS, Gorenstein DG (2005) The enhancement of PCR amplification of a random sequence DNA library by DMSO and betaine: application to in vitro combinatorial selection of aptamers. J Biochem Biophys Methods 64:147–151

    Article  CAS  Google Scholar 

  • Kong RY, Lee SK, Law TW, Law SH, Wu RS (2002) Rapid detection of six types of bacterial pathogens in marine waters by multiplex PCR. Water Res 36:2802–2812

    Article  CAS  Google Scholar 

  • Kotetishvili M, Stine OC, Kreger A, Morris JG Jr, Sulakvelidze A (2002) Multilocus sequence typing for characterization of clinical and environmental Salmonella strains. J Clin Microbiol 40:1626–1635

    Article  CAS  Google Scholar 

  • Lajin B, Alachkar A, Alhaj Sakur A (2013) Betaine significantly improves multiplex tetra-primer ARMS-PCR methods. Mol Biotechnol 54:977–982

    Article  CAS  Google Scholar 

  • Marshall PL, King JL, Budowle B (2015) Utility of amplification enhancers in low copy number DNA analysis. Int J Legal Med 129:43–52

    Article  Google Scholar 

  • Nicholson EB, Concaugh EA, Foxall PA, Island MD, Mobley HL (1993) Proteus mirabilis urease: transcriptional regulation by UreR. J Bacteriol 175:465–473

    Article  CAS  Google Scholar 

  • Park SH, Hanning I, Jarquin R, Moore P, Donoghue DJ, Donoghue AM, Ricke SC (2011) Multiplex PCR assay for the detection and quantification of Campylobacter spp., Escherichia coli O157:H7, and Salmonella serotypes in water samples. FEMS Microbiol Lett 316:7–15

    Article  CAS  Google Scholar 

  • Rahn K, De Grandis SA, Clarke RC, Mcewen SA, Galan JE, Ginocchio C, Curtiss R 3rd, Gyles CL (1992) Amplification of an invA gene sequence of Salmonella typhimurium by polymerase chain reaction as a specific method of detection of Salmonella. Mol Cell Probes 6:271–279

    Article  CAS  Google Scholar 

  • Reischl U (1996) Application of molecular biology-based methods to the diagnosis of infectious diseases. Front Biosci 1:e72–77

    Article  CAS  Google Scholar 

  • Rodriguez-Siek KE, Giddings CW, Doetkott C, Johnson TJ, Nolan LK (2005) Characterizing the APEC pathotype. Vet Res 36:241–256

    Article  CAS  Google Scholar 

  • Salmon SA, Watts JL (2000) Minimum inhibitory concentration determinations for various antimicrobial agents against 1570 bacterial isolates from turkey poults. Avian Dis 44:85–98

    Article  CAS  Google Scholar 

  • Song KP, Chan TK, Ji ZL, Wong SW (2000) Rapid identification of Pseudomonas aeruginosa from ocular isolates by PCR using exotoxin A-specific primers. Mol Cell Probes 14:199–204

    Article  CAS  Google Scholar 

  • Takeuchi H, Yamamoto S, Terai A, Kurazono H, Takeda Y, Okada Y, Yoshida O (1996) Detection of Proteus mirabilis urease gene in urinary calculi by polymerase chain reaction. Int J Urol 3:202–206

    Article  CAS  Google Scholar 

  • Tanaka M, Takuma H, Kokumai N, Oishi E, Obi T, Hiramatsu K, Shimizu Y (1995) Turkey Rhinotracheitis virus isolated from broiler chicken with swollen head syndrome in Japan. J Vet Med Sci 57:939–941

    Article  CAS  Google Scholar 

  • Thong KL, Lai MY, Teh CS, Chua KH (2011) Simultaneous detection of methicillin-resistant Staphylococcus aureus, Acinetobacter baumannii, Escherichia coli, Klebsiella pneumoniae and Pseudomonas aeruginosa by multiplex PCR. Trop Biomed 28:21–31

    CAS  PubMed  Google Scholar 

  • Townsend KM, Frost AJ, Lee CW, Papadimitriou JM, Dawkins HJ (1998) Development of PCR assays for species- and type-specific identification of Pasteurella multocida isolates. J Clin Microbiol 36:1096–1100

    CAS  PubMed  PubMed Central  Google Scholar 

  • Van Den Bogaard AE, Willems R, London N, Top J, Stobberingh EE (2002) Antibiotic resistance of faecal enterococci in poultry, poultry farmers and poultry slaughterers. J Antimicrob Chemother 49:497–505

    Article  Google Scholar 

  • Velegraki A, Kambouris M, Kostourou A, Chalevelakis G, Legakis NJ (1999) Rapid extraction of fungal DNA from clinical samples for PCR amplification. Med Mycol 37:69–73

    Article  CAS  Google Scholar 

  • Walker SE, Sander JE, Cline JL, Helton JS (2002) Characterization of Pseudomonas aeruginosa isolates associated with mortality in broiler chicks. Avian Dis 46:1045–1050

    Article  CAS  Google Scholar 

  • Yano A, Ishimaru R, Hujikata R (2007) Rapid and sensitive detection of heat-labile I and heat-stable I enterotoxin genes of enterotoxigenic Escherichia coli by loop-mediated isothermal amplification. J Microbiol Methods 68:414–420

    Article  CAS  Google Scholar 

Download references

Acknowledgements

Not applicable.

Funding

This work was supported by the National Natural Science Foundation of China (31572546, 31872483 and 31772707), the Key Project of Inter-governmental International Scientific Technological Innovation Cooperation (No. 2018YFE0102200), the Shanghai Science and Technology Standard Fund (Grant No. 18140900700), Shanghai Agriculture Applied Technology Development Program, China (Grant No. G20150109), National Basic Fund for Research Institutes, which is supported by the Chinese Academy of Agricultural Sciences (2019JB01) and the open projects of key laboratory for poultry genetics and breeding of Jiangsu province (JQLAB-KF-201802).

Author information

Authors and Affiliations

Authors

Contributions

XGH, CW and KZQ designed the work; ZHW, JKZ and WJ performed the research study; JSG, ZC, RSM, VP and YH analysis the data; XGH and ZHW drafted the manuscript. All authors read and approved the final manuscript.

Corresponding authors

Correspondence to Kezong Qi, Chen Wang or Xiangan Han.

Ethics declarations

Ethics approval and consent to participate

This article does not contain any studies with human participants or animals performed by any of the authors.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Wang, Z., Zuo, J., Gong, J. et al. Development of a multiplex PCR assay for the simultaneous and rapid detection of six pathogenic bacteria in poultry. AMB Expr 9, 185 (2019). https://doi.org/10.1186/s13568-019-0908-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s13568-019-0908-0

Keywords