Mycoplasma species cause wide ranges of infectious diseases in human and animals. The aim of the present study was to evaluate a real-time polymerase chain reaction (RT-PCR) followed by a high-resolution melting curve assay (HRM) for rapid differentiation of Mycoplasma species isolated from clinical cases of bovine and porcine respiratory disease. Lung samples from suspected cases to respiratory infections from cows and pigs were cultured on specific media, and the extracted DNA were tested by conventional polymerase chain reaction (PCR) assays for Mycoplasma. A set of universal primers specific for the 16S ribosomal RNA gene was designed and used for RT-PCR and HRM. The HRM analysis was able to differentiate between five different species of Mycoplasmas, namely, M. hyopneumoniae, M. bovis, M. hyorhinis, M. hyosynoviae and other uncultured Mycoplasma. All results were confirmed based on 16S rRNA gene sequencing. This rapid and reliable assay was as a simple alternative to PCR and sequencing, differentiating bovine and porcine mycoplasmas in species level.
Mycoplasmas are very small cell-wall deficient bacteria belong to the Mycoplasmataceae family in the Mollicutes class, which also contains ureaplasmas, acholeplasmas, spiroplasmas and the newly classified haemoplasmas (Nicholas 2004; Caswell and Archambault 2008). Many species of Mycoplasma are clinically important in veterinary medicine, because they cause a range of diseases in animals including respiratory infection, mastitis, conjunctivitis, arthritis and abortion (McAuliffe et al. 2004). Mycoplasmas are responsible for huge economic losses in production animals worldwide particularly in the dairy industry as a cause of mastitis, and in intensive livestock industries primarily as respiratory pathogens. For example in Europe, the losses attributed to respiratory disease in cattle caused by Mycoplasma bovis are estimated to be €576 million per year. In the USA, this organism causes losses of approximately 32 million USD per year due to the loss of the weight gain and the reduced carcass value (Surýnek et al. 2016). It seems that the losses due to mastitis caused by M. bovis are higher than those due to respiratory disease in which the loss of milk production due to mastitis is estimated to be $108 million per year in the USA (McAuliffe et al. 2004).
To identify veterinary important mycoplasmas, isolation on specific selective media is routinely used; however, Mycoplasma spp. are generally fastidious and slow growing; consequently, their isolation in pure culture is very difficult and time consuming (Jeffery et al. 2007). Conventional methods based on serological tests, such as the indirect fluorescent antibody test (IFAT), can be used for Mycoplasma species identification; however, they are time-consuming and need professional interpretation (McAuliffe et al. 2003; Ghorashi et al. 2010).
Recently, emphasis has been given to rapid identification of Mycoplasma species. For Mycoplasma speciation, 16S ribosomal RNA (rRNA) gene sequence analysis has been applied but this test is also time consuming and expensive. Most recently, high-resolution melting (HRM) curve analysis of real-time PCR products has been used for Mycoplasma speciation and strain typing (Jeffery et al. 2007; Ghorashi et al. 2010; Rebelo et al. 2011).
The aim of the this study was to evaluate a reliable and rapid test to detect Mycoplasma species by applying real-time polymerase chain reaction (PCR) with high-resolution melting curve analysis (RTPCR-HRM) using 1 set of universal primers targeting the 16S rRNA gene.
Materials and methods
Collection and preparation of samples
Lung samples from clinical cases of bovine and porcine respiratory disease were aseptically collected from different feedlots and abattoirs involved in intensive piggery herd health monitoring over a 4-month period (from June to September 2017). Samples were kept on ice and were sent immediately to the infectious diseases laboratory at school of animal and veterinary sciences, The University of Adelaide. Upon arrival, lung samples were subjected to conventional bacterial culture and susceptibility testing. All samples were then frozen at − 20 °C for further analysis.
Isolation and identification of Mycoplasma
The samples were cultured in Mycoplasma broth base (Oxoid™) enriched with Mycoplasma selective supplement G (Oxoid) and incubated at 37 °C for 5 days. Five hundred microliters of a well-grown culture were transferred into a fresh Mycoplasma broth and agar using a sterile syringe through a 0.45-μm filter and spread plated on the agar. After 5–10 days of incubation at 37 °C in a 5% CO2 atmosphere, typical Mycoplasma colony morphology was evaluated and subcultured to a fresh agar plate for storage at 4 °C.
A fresh supplemented Mycoplasma broth was inoculated with a single Mycoplasma colony and incubated 5 days at 37 °C for DNA extraction. One milliliter of the culture was used for DNA extraction using QIAamp DNA extraction Kit (Qiagen, Germany), according to manufacturer’s instructions. Genomic DNA concentration was measured using Nanodrop 1000c (Thermofisher Scientific Inc., Waltham, MA, USA) and stored at − 20 °C for further use.
Polymerase chain reaction (PCR)
A conventional genus-specific PCR was performed on all isolates using the primers that their sequences are displayed in Table 1 with the resulting 280-bp amplicon. Amplification of genomic DNA to detect Mycoplasma was carried out in 25 μL volumes consisting of 0.5-μL Taq DNA polymerase, 5 μL of × 5 reaction buffer (Bioline, UK), 1 μL forward primer, 1 μL reverse primer, 1 μL of template DNA, and 16.5 μL of DEPC water. Using the T100™ Thermal Cycler (Biorad, USA), the PCR amplification was done with 35 cycles of denaturation at 94 °C for 30 s, annealing at 58 °C for 30 s, and elongation at 72 °C for 1 min. The initial denaturation and final extension were 95 °C for 3 min and 72 °C for 5 min, respectively. Mycoplasma bovis ATCC 25523 and the reaction mixture with no-template were used as a positive and negative controls.
The PCR products were detected by electrophoresis on a 1.5% agarose gel and staining with Gel Red.
Real-time PCR and HRM
One set of genus level universal primers specific for the 16S rRNA gene was used for real time-PCR (Table 1). The real-time PCR mixture was prepared using HRM kit AccuMelt HRM SuperMix (Quantabio, UK). DNA amplification was conducted in a 48 microplate (Illumina, San Diego, CA, USA). Each well contained 10 μL reaction solution of 5 μL HRM SuperMix, 1 μL DNA template (approximately 15 ng), 1 μL each primer (0.2 nmol) and 2 μL nuclease free water (Qiagen, Germany). The reaction was conducted using an Illumina Thermal Cycler with preheating activation for 2 min followed by 40 PCR cycles of three steps: denaturation at 95 °C for 15 s, annealing at 58 °C for 45 s then extension at 72 °C for 15 s. HRM was performed at 55–95 °C at the rate of 0.1 °C. Results were analysed via EcoStudy software (version 5.0, Illumina). PCR products were analysed with electrophoresis in 1.5% agarose gel and staining with Gel Red (Al-Farha et al. 2018). For each test, Mycoplasma bovis ATCC 25523 and Escherichia coli ATCC 25922 were included as positive and negative controls, respectively and also a no-template control to exclude contaminations in the reaction mixture. The assay was carried out in triplicates for all the samples. Moreover, twofold serial dilutions made from DNA template per Mycoplasma isolate were subjected to real-time PCR to determine sensitivity of the test.
Amplified PCR products from the 16S rRNA gene were purified using a Gel Purification Kit (Qiagen, Germany) and were submitted to the Australian Genome Research Facility Ltd. (AGRF, Adelaide, South Australia) for Sanger sequencing. Each fragment was sequenced in both forward and reverse directions. The sequences were blasted against existing sequences in GeneBank using the basic local alignment search tool (BLAST) (http://blast.ncbi.nlm.nih.gov/Blast.cgi) (Al-Farha et al. 2018).
The sequencing results were considered as golden standard and were compared with the HRM results. All HRM curves were hundred percent matched with the sequences.
A total of 350 lung samples from clinical cases of bovine and porcine respiratory disease were collected (38 bovine and 312 porcine). A total of 10 of the bovine and 42 of the porcine origin samples yielded putative mycoplasma-like colonies on selective culture, which were subsequently identified as Mycoplasma spp. by conventional PCR (Fig. 1).
Based on the Sanger sequencing results, all the isolates from bovine samples were M. bovis but the porcine origin samples belonged to other species of mycoplasma including M. hyosynoviae, M. hyopneumoniae, M. hyorhinis and uncultured Mycoplasma spp. Based on the HRM curve analysis, different mycoplasmas produced normalised and derivative HRM profiles consisted of melting temperatures and the overall shape of the melting curves (Fig. 2). M. hyosynoviae (Accession No. AF465777.1) generated one melting peak at 79.7; M. hyopneumoniae (Accession No. KY307831.1) generated two melting peaks at 79.7 and 83.7 °C; M. hyorhinis (Accession No. LT699248.1) generated two melting peaks 80.3 and 83.9 °C and M. bovis (Accession No. KX462439.1) generated 1 melting peak at 78 °C. Uncultured Mycoplasma spp. (Accession No. KY088285.1) generated one melting peak at 84 °C. There was no difference in the melting profiles of Mycoplasma isolate from 1:2, 1:4, and 1:8 fold differences in DNA template concentration.
Since 2002, real-time high-resolution melting profile of amplified DNA has been extensively used for genotyping a wide range of bacteria (Miller et al. 2015; Zahidi et al. 2015; Ren et al. 2017). HRM-based assay defines the correlation between temperature and DNA extent of denaturation (Tong and Gifford 2012). According to the DNA length, nucleotide arrangement and GC content, the melting temperatures can consistently differentiate organisms at the species and sub-species level (Reed et al. 2007).
Recently, some bacterial isolates, including Mycoplasma, Listeria, Brucella, Lactobacillus, Pasteurella and Staphylococcus have been identified successfully using HRM analysis of the 16S rRNA gene (Miller et al. 2015, Zahidi et al. 2015, Ren et al. 2017). This approach has also been used for both speciation and strain typing of Mycoplasma (Ghorashi et al. 2010; Al-Farha et al. 2018). In one study, a RTPCR-HRM assay was used to identify Mycoplasma species isolated from ruminant, avian and canine origin samples. It was able to distinguish M. arginini, M. bovigenitalium, M. bovis, M. bovirhinis, M. canadense, M. cynos, M. spumans, M. iowae, M. meleagridis and M. agalactiae reference strains (Rebelo et al. 2011). In another study, RTPCR-HRM was used to discriminate between Mycoplasma spp. and Acholeplasma laidlawii isolated from bovine milk samples from mastitic dairy cows. By this approach, five different mollicutes, including A. laidlawii, M. arginini, M. bovirhinis, M. bovis and uncultured Mycoplasma were differentiated (Al-Farha et al. 2018). Ghorashi et al. 2010 also differentiated Mycoplasma gallisepticum strains using PCR and high-resolution melting curve analysis (Ghorashi et al. 2010). In a study conducted by Hashemi et al. 2018, high-resolution melting-curve analysis on pvpA gene was applied for detection and classification of Mycoplasma gallisepticum strains (Hashemi et al. 2018). Landolt et al. 2019 also developed a new high-resolution melting (HRM) assay for identification and differentiation of Mycobacterium tuberculosis complex samples (Landolt et al. 2019). In this study, we used this approach to discriminate between Mycoplasma species isolated from bovine and porcine respiratory disease from different farms in South Australia. It was able to discern different Mycoplasma species including M. bovis, M. hyosynoviae, M. hyopneumoniae, M. hyorhinis and uncultured Mycoplasma spp. The results indicated that real-time PCR-HRM assay is a rapid and cost-effective screening method that we can rely on to discriminate between different Mycoplasma species.
Based on these results, a real-time PCR-HRM assay is a simple alternative to sequencing and a great potential to become a useful diagnostic tool to differentiate Mycoplasma species.
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The authors would like to express their special thanks to Andrea McWhorter and Abd Al-Bar Ahmed Noori Al-Farha for their contribution in Lab work.
This study was financially supported by the Research council of Faculty of Biological sciences of Gorgan branch, Islamic Azad University and research branch of University of Adelaide.
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The authors declare that they have no conflict of interest.
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Ahani Azari, A., Amanollahi, R., Jafari Jozani, R. et al. High-resolution melting curve analysis: a novel method for identification of Mycoplasma species isolated from clinical cases of bovine and porcine respiratory disease. Trop Anim Health Prod 52, 1043–1047 (2020). https://doi.org/10.1007/s11250-019-02098-4
- Respiratory disease