Skip to main content
Download PDF

A European interlaboratory trial to evaluate the performance of different PCR methods for Mycoplasma bovis diagnosis

BMC Veterinary Research volume 15, Article number: 86 (2019) Cite this article

Abstract

Background

Several species-specific PCR assays, based on a variety of target genes are currently used in the diagnosis of Mycoplasma bovis infections in cattle herds with respiratory diseases and/or mastitis. With this diversity of methods, and the development of new methods and formats, regular performance comparisons are required to ascertain diagnostic quality. The present study compares PCR methods that are currently used in six national veterinary institutes across Europe. Three different sample panels were compiled and analysed to assess the analytical specificity, analytical sensitivity and comparability of the different PCR methods. The results were also compared, when appropriate, to those obtained through isolation by culture. The sensitivity and comparability panels were composed of samples from bronchoalveolar fluids of veal calves, artificially contaminated or naturally infected, and hence the comparison of the different methods included the whole workflow from DNA extraction to PCR analysis.

Results

The participating laboratories used i) five different DNA extraction methods, ii) seven different real-time and/or end-point PCRs targeting four different genes and iii) six different real-time PCR platforms. Only one commercial kit was assessed; all other PCR assays were in-house tests adapted from published methods. The analytical specificity of the different PCR methods was comparable except for one laboratory where Mycoplasma agalactiae was tested positive. Frequently, weak-positive results with Ct values between 37 and 40 were obtained for non-target Mycoplasma strains. The limit of detection (LOD) varied from 10 to 103 CFU/ml to 103 and 106 CFU/ml for the real-time and end-point assays, respectively. Cultures were also shown to detect concentrations down to 102 CFU/ml. Although Ct values showed considerable variation with naturally infected samples, both between laboratories and tests, the final result interpretation of the samples (positive versus negative) was essentially the same between the different laboratories.

Conclusion

With a few exceptions, all methods used routinely in the participating laboratories showed comparable performance, which assures the quality of diagnosis, despite the multiplicity of the methods.

Background

Bovine mycoplasmoses due to Mycoplasma (M.) bovis occur in the majority of countries in the world and infections are associated with a variety of clinical manifestations [1], of which respiratory diseases in calves are the most important in Europe [2]. M. bovis is considered to be one of the major emerging pathogens of cattle in industrialized countries threatening livestock production [3] and accounting for significant economic and production losses in the beef and dairy industries [2, 4].

In the absence of effective vaccines [5, 6], the control of M. bovis mycoplasmoses relies on good husbandry practices, early diagnosis and efficient antimicrobial treatments [2]. Co-infections with viruses and easy-to-culture bacteria which includes the Pasteurellaceae family and which are frequent in bovine respiratory diseases (BRD) [7], may complicate the diagnosis. Furthermore, asymptomatic animals may act as reservoirs, enhancing the disease persistence and spread within herds without clinical manifestations [4, 8]. Hence, diagnostic tools for the detection of M. bovis need to be rapid, sensitive and specific.

Awareness of the importance of M. bovis in BRD has increased in the past decades although its prevalence might have been underestimated due to the lack of veterinary laboratories routinely monitoring for mycoplasmas. Serological methods, which indicates invasive infection [2] are best used as a herd-level disease diagnostic test, and are not ideal for disease investigations at the animal level as misdiagnosis may occur due to the lag period required for antibody formation or, in contrast, to the high seroprevalence in some cattle populations [9].

For direct diagnosis, conventional microbial culture of M. bovis is laborious and time-consuming (up to 7 days) as the bacterium has specific and demanding growth conditions. Furthermore, with limited options for specific selection for M. bovis by cultural means, diagnosis typically requires a post-culture identification test as other proven pathogenic or opportunistic mycoplasmas like M. dispar or M. bovirhinis and M. arginini, respectively can be isolated from the same clinical samples [10]. Traditional biochemical or growth inhibition tests used for species confirmation has been replaced by several identification techniques such as sandwich ELISA [11], dot immunobinding membrane-filtration tests (MF-dot) [12] or more recently matrix-assisted laser desorption ionization–time of flight mass spectrometry (MALDI-TOF MS) [13, 14] that demonstrate high specificity, but do not improve the overall sensitivity of the diagnosis since they depend on a cultivation step to isolate the organism.

Hence, PCR-based techniques that allow rapid (i.e. within a few hours), sensitive and specific detection have contributed significantly to an improved diagnosis of M. bovis. Today several highly sensitive and species-specific PCRs targeting a variety of genes are used in the diagnosis of Mycoplasma-associated diseases for M. bovis in cattle herds with BRD and/or mastitis (see review by Parker et al., [15] and Table 1 for an overview). However, few studies are dedicated to the comparison of overall performance of these assays [16]. This study describes the comparison of several PCR methods currently used in six national veterinary institutes across Europe. Three different sample panels were collated and used to assess the analytical specificity, analytical sensitivity and comparability of the different PCR methods, respectively. Results were also compared, when appropriate, to those obtained through culturing. The sensitivity and comparability panels were based on bronchoalveolar fluids (BALFs), artificially contaminated or naturally infected, and hence the comparison of the different methods included the whole workflow from DNA extraction to PCR analysis.

Table 1 Overview of PCR methods in literature for detection of M. bovis
Full size table

Materials

Mycoplasma isolates, growth conditions and viability controls

The mycoplasma isolates used in the study are listed in Table 2. Isolates were grown in PPLO broth, modified as previously described [17], at 37 °C in 5% CO2, except for M. dispar and U. diversum which were grown in modified Friis medium and Eatons general purpose growth medium, respectively [18]. The length of culture was adapted for each species from 3 to 5 days to reach early stationary phase. To enumerate the M. bovis culture used for the analytical sensitivity assay (see hereafter), the number of colony forming units (CFU) per ml was determined by plating spots of 2 μl of serial 10 fold broth dilutions onto PPLO agar plates. After incubation for 5 days, colonies from nonconfluent spots were counted under a stereomicroscope and the mean final cell concentration was determined.

Table 2 Identity of 17 Mycoplasma strains used in the ring trial to test for the analytical specificity of M. bovis PCR methods
Full size table

For viability control of M. bovis in the BALF samples, laboratories (Lab) 1 and 4 performed a bacteriological examination for M. bovis using different methods. In Lab 1, PPLO agar plates were flooded with 200 μl of each BALF (dilution series for sensitivity and individual BALF for comparability), the excess of culture was removed by pipetting and after 5 days incubation the colonies were observed under a stereomicroscope. If colonies of typical mycoplasma morphology were observed, they were picked and grown in PPLO broth until turbidity was observed. In parallel direct 10 fold dilution series up to 10− 5 of BALF in PPLO were prepared and incubated until turbidity. Turbid broths (from picked colonies or dilution series) were analysed for the presence of M. bovis or other mycoplasma species using MF-dot tests [12] and/or real time PCR (MPBO50). In Lab 4, BALF samples were cultured directly on Friis medium plates and also one 10 fold dilution was made from the BALF in Friis broth [19]. Plates were incubated for 7 days at 37 °C in 5% CO2, and inspected every second day under the microscope for mycoplasma growth. Broth medium was incubated at 37 °C for 3 days. The growth and color change were monitored every other day. All broth cultures were examined for presence of M. bovis by oppD real-time PCR and suspected samples were subcultured on Friis medium plates as described above. The results of the oppD real-time PCR on broth were compared with the results of this PCR assay directly on BALF samples and if there was an increase of Ct values it was concluded that this increase was due to multiplication of viable M. bovis organisms. A BALF was considered as culture positive when at least one of the different methods returned a positive result.

Sample panels

Three different sample panels (I, II and III) were compiled to assess the analytical specificity, analytical sensitivity and comparability of the different M. bovis PCR methods, respectively (see hereafter for details of the sample panels).

Sample panel I: Analytical specificity on DNAs of mycoplasma strains

The analytical specificity was defined as the ability of the assay to distinguish target from non-target organisms [20]. The inclusion list comprises seven M. bovis isolates belonging to different subtypes that used to circulate or are currently circulating in France and other countries [21], while the exclusion list was composed of ten strains belonging to ten non-target mycoplasma species that can be recovered from BRD clinical samples (9/10) or are genetically close to M. bovis (1/10, M. agalactiae) (Table 2). For each strain, a 20 ml broth culture was grown at 37 °C up to the stationary phase and mycoplasma cells were harvested by a 30 min centrifugation at 9000 g and 4 °C. DNA was extracted from pelleted cells either using 3 DNeasy Mini Spin Columns from the DNeasy 96 Blood & Tissue Kit (Qiagen) or the Maxwell® 16 Tissue DNA purification kit (Promega). Each DNA solution was diluted to a 10 ng/μl concentration, aliquoted into anonymized individual tubes (marked from A to Q) for each laboratory and frozen at − 80 °C.

Sample panel II: Analytical sensitivity on BALF spiked with M. bovis

The analytical sensitivity of the M. bovis PCR assays was defined as the ability of the assay to detect the lowest concentration of M. bovis in CFU/ml in BALF [20]. A pool of BALFs sampled from specific pathogen free (SPF) calves of 3 weeks old was spiked using an enumerated culture of strain 147,826–1 (VB) (isolated in South of Sweden in 2016 from mastitis milk) in order to get a final 1 × 108 CFU/ml concentration. Ten-fold serial dilutions (n = 7) of this mixture were prepared in BALF resulting in a range from 1 × 107 to 1 × 101 M. bovis CFU/ml. All dilutions were performed in the same BALF pool, aliquoted afterwards in separate anonymized samples (marked from 1 to 7) for every laboratory and frozen at − 80 °C.

Sample panel III: Comparability on BALF samples from the field

For comparison of the results of the PCR methods on field samples, BALF samples (n = 21) were selected from a set of BALF from veal calves, sampled between October 2013 and April 2014 and used for the evaluation of a triplex real-time PCR for the detection of M. bovis, M. dispar and M. bovirhinis in BALF [22] and stored since then at − 80 °C. In that study, BALF samples were tested from calves on farms with BRD and were positive for M. bovis with Ct values below 30 (in this work BALFs n° 4, 6, 8, 9, 13, 16 and 20), weak-positive with Ct values between 30 and 40 (in this work BALFs n° 1, 3, 14, 15, 18, 19 and 21) or negative with Ct values above 40 (in this work BALFs n° 2, 5, 7, 10, 11, 12, 17). These 21 BALFs were anonymised, aliquoted and sent to each participating laboratory on dry ice. Two laboratories performed bacteriological examination of the BALF samples as described above.

Participating institutes

Six institutes for Animal Health in six different European countries participated in the M. bovis PCR ring trial: the Animal and Plant Health Agency (APHA), UK; the National Veterinary Institute, Technical University of Denmark (DTU), Denmark; the Finnish Food Safety Authority (Evira), Finland; the French Agency for Food, Environmental and Occupational Health & Safety (ANSES), France; the National Veterinary Institute (SVA), Sweden and the Wageningen Bioveterinary Research (WBVR), The Netherlands. The institutes were anonymously listed as laboratories 1 to 6.

Distribution of samples and ring trial procedures

Samples were randomised and sent anonymized on dry ice to all participating laboratories, which were asked to i) note the date of reception, ii) confirm that samples were still frozen at reception and iii) store the samples at − 80 °C until analysis. A report form was prepared and every laboratory was asked to report results in terms of positive, negative or doubtful for M. bovis or, in case of problems with the validation of negative and positive controls, as a run failure. Users of end-point PCR were asked to report the electrophoresis technique used and the quantity of PCR mix loaded. Users of quantitative tests were asked to report the Ct values and also the Ct value of the internal positive control (IPC) of the test. All laboratories were asked to document the platform on which the PCR method was run.

For analysis of samples of panel I, every laboratory was asked to i) defrost the aliquots at room temperature (not longer than 30 min), ii) make a 1/10 dilution of each DNA sample (to be stored at 4 °C before running PCR test), iii) run a PCR on the original DNA sample and on the 1/10 DNA dilutions in duplicate using 5 μl of each DNA sample in the PCR mix. All these analyses had to be performed on the day when samples were defrosted and in the same run.

For analysis of samples of panel II and III every laboratory was asked to i) extract DNA from 200 μl BALF of the entire dilution series of spiked samples (panel II) and from the field samples (panel III) using the method routinely performed in their laboratory, ii) resuspend the DNA in an equal 200 μl volume, iii) use 5 μl of the DNA in their PCR mix and iv) run the PCR test in duplicate.

Methods used in the laboratory

Five different DNA extraction methods were used by the laboratories participating in the ring trial (Table 3). Labs 1, 3 and 4 used the same technique (spin column, silica-membrane extraction from Qiagen). The other three laboratories (2, 5 and 6) all used a robot with magnetic-particle technology. However the kits and the type of robots varied (Table 3).

Table 3 Overview of DNA extraction and M. bovis PCR methods used by laboratories participating in the PCR ring trial
Full size table

Seven different PCR methods were used by the participating laboratories (Table 3). Labs 1, 2 and 4 used the commercial real-time MPBO50 kit from ThermoFisher Scientific which is based on the polC gene. Labs 3, 4 and 5 used PCRs based on the detection of the oppD gene [23]. However the chemistry and / or real-time PCR kits differed (Table 3). Lab 4 used a real-time PCR based on detection of the uvrC gene [24] and Lab 6 used a real-time PCR based on the V3-V4 16S rRNA gene [22]. For amplification, six different real-time PCR platforms were used (LightCycler 480, Stratagene MX3000, Rotor-Gene, Bio-Rad CFX96, ABI 7500 and ABI 7500 Fast).

In addition to real-time PCRs, end-point PCRs (n = 2) were also run. Lab 1 used a PCR method based on polC [25] whereas Lab 2 used uvrC [26] for detection of M. bovis and a PCR-DGGE method based on the 16S rRNA gene [27], without primary culture step.

Statistical analysis

The linear correlation coefficient (r), the slope and the amplification efficiency (E) of the PCR methods were calculated between the Ct values obtained in the real-time PCRs and the number of M. bovis CFU/ml [28]. Calculations were performed using Microsoft Excel spreadsheets.

Results

Analytical specificity using DNAs of mycoplasma strains (sample panel I)

The analytical specificity of the PCR methods was evaluated using DNAs of a panel of target and non-target Mycoplasma isolates (sample panel I; n = 17). All real-time PCR tests were positive using M. bovis DNA extracts except for one test, which was obviously due to an experimental failure (from lab 3) (Fig. 1). Negative PCR results were obtained with the non-M. bovis DNAs, except for the 16S PCR by lab 6 which showed a clear positive result on M. agalactiae (Fig. 1). Furthermore, several real-time PCR tests of DNA samples from which M. bovis was expected to be absent showed weak positive results with Ct values greater than or equal to 37 (Fig. 1). This was especially valid for samples with 50 ng of DNA in the PCR mix, i.e. 5 μl of 10 ng/μl solution. Hence, with most of the PCR assays, Ct ≥ 37 were further regarded as doubtful.

Fig. 1
figure1

Determination of the analytical specificity of various M. bovis PCR assays in use by six laboratories (Lab 1 to Lab 6) on DNA from a panel of seven M. bovis strains and 10 non-target mycoplasma species. DNA of each strain was tested in two concentrations: once with 5 μl of 10 ng/μl (pure) and twice with 5 μl of a 1/10 dilution (1:10), except for Lab 4 that used 1 μl of DNA only. Raw data to this figure are provided in Additional file 1

Full size image

Results from end-point PCRs were in agreement with those of real-time PCRs except for the uvrC PCR using 1/10 diluted DNA of M. bovis that was poorly reproducible giving alternatively positive or negative results (Fig. 1). The PCR-DGGE analysis fully confirmed the identification of the DNA samples.

Analytical sensitivity on BALF spiked with M. bovis (sample panel II)

The analytical sensitivity of the M. bovis PCR methods was determined on ten-fold serial dilutions of a pool of BALFs from SPF calves, spiked with M. bovis (Sample panel II; Fig. 2). A high linear correlation (r > 0.97) between the Ct values and the number of CFU/ml was found for all assays. The slopes ranged from − 2.5 (Lab 1) to − 3.4 (Lab 5) which corresponds to an efficiency (E) of 166 and 97% respectively (Fig. 2).

Fig. 2
figure2

Determination of the analytical sensitivity of various M. bovis PCR assays in use by six laboratories (Lab 1 to Lab 6) on spiked bronchoalveolar lavage fluid (BALF) samples. Ten-fold serial dilutions (n = 7) of a mixture of 1 × 108 M. bovis CFU/ml were prepared in BALF resulting in a range of 1 × 107 to 1 × 101 M. bovis CFU/ml and tested by the various PCR methods. Viability of M. bovis in the BALF samples was verified with culture. Raw data to this figure are provided in Additional file 1

Full size image

The limit of detection (LOD) expressed in CFU/ml in the BALF pool varied from 10 to 103 between the different real-time PCR assays. This variation was observed even between laboratories using the same PCR kit (MPBO50, used in Lab 1, 2 and 4) and the same DNA extraction kit (Qiagen, silica-membrane, Lab 1 and 4), suggesting an impact of the PCR platform (LightCycler 480 in Lab 1 versus Bio-rad CFX96 in Lab 4). Similarly, in the PCR method based on the oppD gene the LOD was 102 (Labs 3 & 4) and 103 CFU/ml (Lab 5) using different types of DNA extraction methods (Labs 3 &4: spin column; Lab 5: magnetic-particle technology). Detection based on the 16S rRNA gene resulted in a low LOD due to the duplicate copies of the target in the genome (Lab 6). In Lab 4, three different techniques were used on the same extracted DNA batches which allows a classification of the real-time PCR methods as a function of their respective sensitivity, i.e. uvrC > oppD > polC.

The LOD of the end-point PCRs was comparable to that of real-time PCR when targeting the polC gene (102 CFU/ml, Lab1) but was higher when targeting the uvrC gene (106 CFU/ml, Lab 2) or performing the PCR-DGGE method (105 CFU/ml, Lab 2).

The culture methods used for viability control of M. bovis in the BALF samples seemed to be very sensitive since for both laboratories (Lab 1 & Lab 4) the LOD was 102 CFU/ml of BALF.

Comparability on BALF samples from the field (sample panel III)

A set of 21 BALFs from calves originating from herds with BRD were analysed by PCR in the six laboratories and by culture methods in Lab 1 and 4. Figure 3 shows the mean Ct values (two repeats) obtained by each laboratory. For each BALF, the median dispersion of the mean Ct values was 3.5 but differences reached up to 6.6 Ct values at the maximum. For instance, BALF n°1 had a mean Ct value of 37.1 in the hands of Lab 1 but 30.5 in the hands of Lab 6 (Fig. 3).

Fig. 3
figure3

Comparability of results of various PCR methods in use by six laboratories (Lab 1 to Lab 6) on bronchoalveolar lavage fluid (BALF) samples (n = 21) from veal calves from farms with bovine respiratory disease (BRD). BALF samples were tested twice by the PCR methods and the mean Ct values were calculated from the real-time PCRs. Viability of M. bovis in the BALF samples was verified with culture. On the basis of the culture results, the figure was split in two parts, either with BALF samples negative or positive for M. bovis by culture. Raw data to this figure are provided in Additional file 1

Full size image

Of the seven BALF samples considered as negative (by culture but also by considering previous results from Cornelissen et al. [22], i.e. BALFs n° 2, 5, 7, 10, 11, 12, 17; Fig. 3), none were detected with a Ct < 37. In contrast, of the 14 BALFs that were culture-positive, 11 (79%) were detected by all laboratories with Ct < 37, whereas three (n° 14, 15 and 21; Fig. 3) were weak-positive, doubtful (Ct = 37) or negative at the different laboratories (Fig. 3).

The polC-end point PCR gave coherent results compared to the real-time PCR assays in 86% (12/14) culture-positive BALFs but failed to detect BALF n° 15 and 21. In contrast, the uvrC end-point PCR and the PCR-DGGE analysis yielded 64% (9/14) and 50% (7/14) false negative results, although the latter test was able to identify also M. dispar and M. bovirhinis DNA from these samples.

Discussion

Six laboratories participated in the ring trial and a total of five different DNA extraction methods, seven different real-time and/or end-point PCR methods targeting four different genes and six different real-time PCR platforms were used (Table 2). Among the tested PCR assays there was one ready-to-use commercial kit (MPBO kit, ThermoFisher Scientific); the others were in-house, validated, PCR assays.

Differences in analytical specificity and analytical sensitivity were observed between the various real-time PCR methods. A clear cross reaction was observed in the real-time PCR method of Lab 6 with M. agalactiae, which is genetically close to M. bovis with a 99% nucleotide similarity between their 16S rRNA sequences [29] but usually not isolated from the bovine host with a few exceptions [30]. Moreover, weak positive results with Ct values between 37 and 40 were obtained on non-target Mycoplasma strains which could result in misinterpretation of results and highlights the requirement for thorough assessment of cut-off during validation at individual laboratory level. Differences in the analytical sensitivity appeared to be 10–100 fold between the different real-time PCR methods. Furthermore, in the comparability assay differences in mean Ct values between laboratories appeared to be 6.6 Ct values at the maximum, the median was 3.5 Ct values. A difference of 3.3 Ct values is equal to a 10 fold difference and differences between the real-time PCR methods were therefore 10 to 100 fold, which is comparable to the difference in analytical sensitivity. Nevertheless, this difference did not impact on the qualification of the BALF samples (i.e. positive versus negative), with a few exceptions (Fig. 3). Apparently different real-time PCR methods with a varying sensitivity can be used for the diagnosis of M. bovis in clinical BALF samples.

For the present ring trial, BALF from veal calves was selected as a representative clinical sample to compare the efficiency of PCR diagnosis of M. bovis. It is estimated that M. bovis is a contributing factor in at least 25% of cases of BRD in calves and that BALFs are valuable samples for detection of M. bovis in cases of BRD in calves [2, 3, 21, 31]. Other possible samples from BRD cases could include lung tissue samples or swabs from the respiratory tract. However, these would have been less suitable than BALF for homogenous aliquoting and distribution to participating laboratories. Our results should not be generalized to other types of samples, like semen, or milk, or joint fluid/swabs that are increasingly being used for the diagnosis of M. bovis [1, 4, 32]. Ring trials based on these types of sample materials warrant further investigation.

The variety of methods in this study is consistent with the number of PCRs described in literature for M. bovis detection (Table 1). In order to take into account the specific know-how of each participating laboratory, no technique was imposed upon the laboratories in the design of our ring trial. This is because the focus of the study was to compare the various tests as normally used as evaluated by each laboratory for routine testing. The main consequence of this choice was that the statistical analysis performed in this study was essentially descriptive, with more detailed statistical analysis of the results considered beyond the scope of the present study. While, differences in protocols (such as the number of amplification cycles, the volume of DNA in the mix, etc.) may in part explain the differences in overall performances of the methods, it was not the aim of the paper to analyse these in detail.

In the present ring trial, the detection of M. bovis by culture from naturally or artificially contaminated BALFs, as conducted by two laboratories, showed a sensitivity comparable or even better than that of real-time PCR assays. This is in agreement with a previous study that showed no significant difference in the proportion of culture and PCR positive samples [33]. However the authors also stated that the best method to detect and identify M. bovis was also dependent on the sample type. Here, the naturally infected BALFs contained several other bacteria [34] including mycoplasmas [22] among which M. bovirhinis, which is a known fast grower. Hence, M. bovirhinis present in the sample could overgrow M. bovis and lead to false negative results depending on the techniques used afterwards to differentiate M. bovis from M. bovirhinis. The choice of the most acceptable culture medium is also critical and hence diagnosis by culture needs far more expertise than is required to perform PCR, although the latter necessitates good quality DNA and a reliable PCR assay. Of the PCR-based tests investigated in this study only the triplex real-time PCR used by Lab 6 and the PCR-DGGE method used by Lab 2 are able to offer simultaneous identification of three [22] or more Mycoplasma species, including hardly cultivable or non-cultivable ones from clinical samples [35]. It should also be noted that PCR-DGGE is most routinely applied in the diagnostic laboratory setting following an initial culture step for clinical sample diagnostics which was not performed here. In the end, the choice of the most suitable method for M. bovis diagnosis must reflect the veterinary requirements for a robust and reproducible approach to testing.

Conclusion

In this study the performance of PCR methods in use by six Animal Health laboratories across six European countries was compared in a ring trial. The analytical specificity of the PCR methods was comparable except for M. agalactiae, which was tested positive by Lab 6 because of the use of 16S rRNA as the target gene. The LOD of the real-time PCR methods varied from 10 to 103 CFU/ml and differences in sensitivity to the same order of magnitude were found in the real-time PCR assays on BALF samples of naturally infected veal calves. Despite these differences, and with the exception of the end-point PCR on the uvrC gene and the PCR-DGGE method, highly comparable PCR results were obtained on BALF samples from naturally infected veal calves leading to the conclusion that several DNA isolation and PCR methods can give consistent diagnostic test results. Culture results confirmed the presence of viable M. bovis in the tested BALF samples, and also confirmed the diagnostic test results of the M. bovis PCR methods on these samples.

Abbreviations

BALF:

Bronchoalveolar lavage fluid

BRD:

Bovine respiratory disease

Ct value:

Threshold cycle

E:

Efficiency

Lab:

Laboratory

LOD:

Limit of detection

NA:

Not applicable

PCR/DGGE:

PCR with denaturing gradient gel electrophoresis fingerprinting

r :

Correlation coefficient

TS:

Type strain

References

  1. 1.

    Burki S, Frey J, Pilo P. Virulence, persistence and dissemination of Mycoplasma bovis. Vet Microbiol. 2015;179:15–22.

    Article  Google Scholar 

  2. 2.

    Nicholas RA, Ayling RD. Mycoplasma bovis: disease, diagnosis, and control. Res Vet Sci. 2003;74:105–12.

    CAS  Article  Google Scholar 

  3. 3.

    Nicholas RA. Bovine mycoplasmosis: silent and deadly. Vet Rec. 2011;168:459–62.

    CAS  Article  Google Scholar 

  4. 4.

    Maunsell FP, Woolums AR, Francoz D, Rosenbusch RF, Step DL, Wilson DJ, Janzen ED. Mycoplasma bovis infections in cattle. J Vet Intern Med. 2011;25:772–83.

    CAS  Article  Google Scholar 

  5. 5.

    Mulongo M, Prysliak T, Perez-Casal J. Vaccination of feedlot cattle with extracts and membrane fractions from two Mycoplasma bovis isolates results in strong humoral immune responses but does not protect against an experimental challenge. Vaccine. 2013;31:1406–12.

    CAS  Article  Google Scholar 

  6. 6.

    Soehnlen MK, Aydin A, Lengerich EJ, Houser BA, Fenton GD, Lysczek HR, Burns CM, Byler LI, Hattel AL, Wolfgang DR, Jayarao BM. Blinded, controlled field trial of two commercially available Mycoplasma bovis bacterin vaccines in veal calves. Vaccine. 2011;29:5347–54.

    CAS  Article  Google Scholar 

  7. 7.

    Griffin D, Chengappa MM, Kuszak J, McVey DS. Bacterial pathogens of the bovine respiratory disease complex. Vet Clin North Am Food Anim Pract. 2010;26:381–94.

    Article  Google Scholar 

  8. 8.

    Aebi M, van den Borne BH, Raemy A, Steiner A, Pilo P, Bodmer M. Mycoplasma bovis infections in Swiss dairy cattle: a clinical investigation. Acta Vet Scand. 2015;57:10.

    Article  Google Scholar 

  9. 9.

    Calcutt MJ, Lysnyansky I, Sachse K, Fox LK, Nicholas RAJ, Ayling RD. Gap analysis of Mycoplasma bovis disease, diagnosis and control: an aid to identify future development requirements. Transbound Emerg Dis. 2018;65(Suppl. 1):91–109.

    Article  Google Scholar 

  10. 10.

    Ayling RD, Gosney F, Hlusek M. Mycoplasma diagnostics, some results, and what we still don’t know about Mycoplasma bovis disease. Cattle Pract. 2015;23:248–51.

    Google Scholar 

  11. 11.

    Ball HJ, Finlay D. Diagnostic application of monoclonal antibody (MAb)-based sandwich ELISAs. In: Miles R, Nicholas R, editors. Mycoplasma protocols. Totowa: Humana Press; 1998. p. 127–32.

    Google Scholar 

  12. 12.

    Poumarat F, Perrin B, Longchambon D. Identification of ruminant mycoplasmas by dot immunobinding on membrane filtration (MF dot). Vet Microbiol. 1991;29:329–38.

    CAS  Article  Google Scholar 

  13. 13.

    Pereyre S, Tardy F, Renaudin H, Cauvin E, Del Pra Netto Machado L, Tricot A, Benoit F, Treilles M, Bebear C. Identification and subtyping of clinically relevant human and ruminant mycoplasmas by use of matrix-assisted laser desorption ionization-time of flight mass spectrometry. J Clin Microbiol. 2013;51:3314–23.

    CAS  Article  Google Scholar 

  14. 14.

    Randall LP, Lemma F, Koylass M, Rogers J, Ayling RD, Worth D, Klita M, Steventon A, Line K, Wragg P, Muchowski J, Kostrzewa M, Whatmore AM. Evaluation of MALDI-ToF as a method for the identification of bacteria in the veterinary diagnostic laboratory. Res Vet Sci. 2015;101:42–9.

    CAS  Article  Google Scholar 

  15. 15.

    Parker AM, Sheehy PA, Hazelton MS, Bosward KL, House JK. A review of mycoplasma diagnostics in cattle. J Vet Intern Med. 2018;32:1241–52.

    Article  Google Scholar 

  16. 16.

    Bashiruddin JB, Frey J, Konigsson MH, Johansson KE, Hotzel H, Diller R, de Santis P, Botelho A, Ayling RD, Nicholas RA, Thiaucourt F, Sachse K. Evaluation of PCR systems for the identification and differentiation of Mycoplasma agalactiae and Mycoplasma bovis: a collaborative trial. Vet J. 2005;169:268–75.

    CAS  Article  Google Scholar 

  17. 17.

    Poumarat F, Longchambon D, Martel JL. Application of dot immunobinding on membrane filtration (MF dot) to the study of relationships within “M. mycoides cluster” and within “glucose and arginine-negative cluster” of ruminant mycoplasmas. Vet Microbiol. 1992;32:375–90.

    CAS  Article  Google Scholar 

  18. 18.

    Nicholas RAJ, Baker SE. Recovery of mycoplasmas from animals. Methods Mol Biol. 1998;104:37–43.

    CAS  PubMed  Google Scholar 

  19. 19.

    Bölske G. Survey of mycoplasma infections in cell cultures and a comparison of detection methods. Zentralbl Bakteriol Mikrobiol Hyg A. 1988;269:331–40.

    PubMed  Google Scholar 

  20. 20.

    Saah AJ, Hoover DR. “Sensitivity” and “specificity” reconsidered: the meaning of these terms in analytical and diagnostic settings. Ann Intern Med. 1997;126:91–4.

    CAS  Article  Google Scholar 

  21. 21.

    Becker CA, Thibault FM, Arcangioli MA, Tardy F. Loss of diversity within Mycoplasma bovis isolates collected in France from bovines with respiratory diseases over the last 35 years. Infect Genet Evol. 2015;33:118–26.

    Article  Google Scholar 

  22. 22.

    Cornelissen JB, de Bree FM, van der Wal FJ, Kooi EA, Koene MG, Bossers A, Smid B, Antonis AF, Wisselink HJ. Mycoplasma detection by triplex real-time PCR in bronchoalveolar lavage fluid from bovine respiratory disease complex cases. BMC Vet Res. 2017;13:97.

    Article  Google Scholar 

  23. 23.

    Sachse K, Salam HS, Diller R, Schubert E, Hoffmann B, Hotzel H. Use of a novel real-time PCR technique to monitor and quantitate Mycoplasma bovis infection in cattle herds with mastitis and respiratory disease. Vet J. 2010;186:299–303.

    CAS  Article  Google Scholar 

  24. 24.

    Rossetti BC, Frey J, Pilo P. Direct detection of Mycoplasma bovis in milk and tissue samples by real-time PCR. Mol Cell Probes. 2010;24:321–3.

    CAS  Article  Google Scholar 

  25. 25.

    Marenda MS, Sagne E, Poumarat F, Citti C. Suppression subtractive hybridization as a basis to assess Mycoplasma agalactiae and Mycoplasma bovis genomic diversity and species-specific sequences. Microbiology. 2005;151:475–89.

    CAS  Article  Google Scholar 

  26. 26.

    Subramaniam S, Bergonier D, Poumarat F, Capaul S, Schlatter Y, Nicolet J, Frey J. Species identification of Mycoplasma bovis and Mycoplasma agalactiae based on the uvrC genes by PCR. Mol Cell Probes. 1998;12:161–9.

    CAS  Article  Google Scholar 

  27. 27.

    McAuliffe L, Ellis RJ, Ayling RD, Nicholas RA. Differentiation of Mycoplasma species by 16S ribosomal DNA PCR and denaturing gradient gel electrophoresis fingerprinting. J Clin Microbiol. 2003;41:4844–7.

    CAS  Article  Google Scholar 

  28. 28.

    Raymaekers M, Smets R, Maes B, Cartuyvels R. Checklist for optimization and validation of real-time PCR assays. J Clin Lab Anal. 2009;23:145–51.

    CAS  Article  Google Scholar 

  29. 29.

    Pettersson B, Uhlen M, Johansson KE. Phylogeny of some mycoplasmas from ruminants based on 16S rRNA sequences and definition of a new cluster within the hominis group. Int J Syst Bacteriol. 1996;46:1093–8.

    CAS  Article  Google Scholar 

  30. 30.

    Catania S, Gobbo F, Schiavon E, Nicholas RAJ. Severe otitis and pneumonia in adult cattle with mixed infection of Mycoplasma bovis and Mycoplasma agalactiae. Vet Rec Case Rep. 2016;4:art. no. e000366.

    Article  Google Scholar 

  31. 31.

    Doyle D, Credille B, Lehenbauer TW, Berghaus R, Aly SS, Champagne J, Blanchard P, Crossley B, Berghaus L, Cochran S, Woolums A. Agreement among 4 sampling methods to identify respiratory pathogens in dairy calves with acute bovine respiratory disease. J Vet Intern Med. 2017;31:954–9.

    CAS  Article  Google Scholar 

  32. 32.

    Haapala V, Pohjanvirta T, Vahanikkila N, Halkilahti J, Simonen H, Pelkonen S, Soveri T, Simojoki H, Autio T. Semen as a source of Mycoplasma bovis mastitis in dairy herds. Vet Microbiol. 2018;216:60–6.

    Article  Google Scholar 

  33. 33.

    Parker AM, House JK, Hazelton MS, Bosward KL, Sheehy PA. Comparison of culture and a multiplex probe PCR for identifying Mycoplasma species in bovine milk, semen and swab samples. PLoS One. 2017;12:e0173422.

    Article  Google Scholar 

  34. 34.

    Wisselink HJ, Cornelissen J, van der Wal FJ, Kooi EA, Koene MG, Bossers A, Smid B, de Bree FM, Antonis AFG. Evaluation of a multiplex real-time PCR for detection of four bacterial agents commonly associated with bovine respiratory disease in bronchoalveolar lavage fluid. BMC Vet Res. 2017;13:221.

    Article  Google Scholar 

  35. 35.

    McAuliffe L, Ellis RJ, Lawes JR, Ayling RD, Nicholas RA. 16S rDNA PCR and denaturing gradient gel electrophoresis; a single generic test for detecting and differentiating Mycoplasma species. J Med Microbiol. 2005;54:731–9.

    CAS  Article  Google Scholar 

  36. 36.

    Hotzel H, Heller M, Sachse K. Enhancement of Mycoplasma bovis detection in milk samples by antigen capture prior to PCR. Mol Cell Probes. 1999;13:175–8.

    CAS  Article  Google Scholar 

  37. 37.

    Tenk M, Balint A, Stipkovits L, Biro J, Dencso L. Detection of Mycoplasma bovis with an improved pcr assay. Acta Vet Hung. 2006;54:427–35.

    CAS  Article  Google Scholar 

  38. 38.

    Tardy F, Gaurivaud P, Tricot A, Maigre L, Poumarat F. Epidemiological surveillance of mycoplasmas belonging to the ‘Mycoplasma mycoides’ cluster: is DGGE fingerprinting of 16S rRNA genes suitable? Lett Appl Microbiol. 2009;48:210–7.

    CAS  Article  Google Scholar 

  39. 39.

    Schnee C, Schulsse S, Hotzel H, Ayling RD, Nicholas RA, Schubert E, Heller M, Ehricht R, Sachse K. A novel rapid DNA microarray assay enables identification of 37 mycoplasma species and highlights multiple mycoplasma infections. PLoS One. 2012;7:e33237.

    CAS  Article  Google Scholar 

  40. 40.

    Kishimoto M, Tsuchiaka S, Rahpaya SS, Hasebe A, Otsu K, Sugimura S, Kobayashi S, Komatsu N, Nagai M, Omatsu T, Naoi Y, Sano K, Okazaki-Terashima S, Oba M, Katayama Y, Sato R, Asai T, Mizutani T. Development of a one-run real-time PCR detection system for pathogens associated with bovine respiratory disease complex. J Vet Med Sci. 2017;79:517–23.

    CAS  Article  Google Scholar 

  41. 41.

    Clothier KA, Jordan DM, Thompson CJ, Kinyon JM, Frana TS, Strait EL. Mycoplasma bovis real-time polymerase chain reaction assay validation and diagnostic performance. J Vet Diagn Investig. 2010;22:956–60.

    Article  Google Scholar 

  42. 42.

    Behera S, Rana R, Gupta PK, Kumar D, Sonal, Rekha V, Arun TR, Jena D. Development of real-time PCR assay for the detection of Mycoplasma bovis. Trop Anim Health Prod. 2018;50:875–82.

    CAS  Article  Google Scholar 

  43. 43.

    Boonyayatra S, Fox LK, Besser TE, Sawant A, Gay JM, Raviv Z. A PCR assay and PCR-restriction fragment length polymorphism combination identifying the 3 primary Mycoplasma species causing mastitis. J Dairy Sci. 2012;95:196–205.

    CAS  Article  Google Scholar 

  44. 44.

    Cai HY, Bell-Rogers P, Parker L, Prescott JF. Development of a real-time PCR for detection of Mycoplasma bovis in bovine milk and lung samples. J Vet Diagn Investig. 2005;17:537–45.

    Article  Google Scholar 

  45. 45.

    Khalil D, Becker CAM, Tardy F. Monitoring the decrease in susceptibility to ribosomal RNAs targeting antimicrobials and its molecular basis in clinical Mycoplasma bovis isolates over time. Microb Drug Resist. 2017;23:799–811.

    CAS  Article  Google Scholar 

  46. 46.

    Marenda MS, Vilei EM, Poumarat F, Frey J, Berthelot X. Validation of the suppressive subtractive hybridization method in Mycoplasma agalactiae species by the comparison of a field strain with the type strain PG2. Vet Res. 2004;35:199–212.

    CAS  Article  Google Scholar 

Download references

Acknowledgements

The authors thank Agnès Tricot (ANSES), Tomas Jinnerot (SVA), Herma Buys-Bergen (WBVR) and Marianne Vahl (WBVR) for running the PCR assays.

Funding

This study was funded by the CoVetLab project “Towards better Mycoplasma bovis control by improving early diagnosis, isolate typing and susceptibility profiles” (www.covetlab.org).

Availability of data and materials

All datasets supporting our findings are available from the corresponding author on reasonable request.

Author information

Affiliations

  1. Wageningen Bioveterinary Research, P.O. Box 65, 8200 AB, Lelystad, The Netherlands

    Henk J. Wisselink & Bregtje Smid

  2. Animal and Plant Health Agency (APHA), Surrey, UK

    Jane Plater & Anne Ridley

  3. National Veterinary Institute (SVA), Uppsala, Sweden

    Anna-Maria Andersson & Anna Aspán

  4. Finnish Food Safety Authority Evira, Kuopio, Finland

    Tarja Pohjanvirta & Nella Vähänikkilä

  5. National Veterinary Institute, Technical University of Denmark, Lyngby, Denmark

    Helene Larsen & Jonas Høgberg

  6. Anses, Lyon Laboratory, JRU Ruminants Mycoplasmoses, Anses, VetAgro Sup, University of Lyon, Lyon, France

    Adélie Colin & Florence Tardy

Authors
  1. Henk J. Wisselink
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Bregtje Smid
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Jane Plater
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Anne Ridley
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Anna-Maria Andersson
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Anna Aspán
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Tarja Pohjanvirta
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. Nella Vähänikkilä
    View author publications

    You can also search for this author in PubMed Google Scholar

  9. Helene Larsen
    View author publications

    You can also search for this author in PubMed Google Scholar

  10. Jonas Høgberg
    View author publications

    You can also search for this author in PubMed Google Scholar

  11. Adélie Colin
    View author publications

    You can also search for this author in PubMed Google Scholar

  12. Florence Tardy
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

HJW, AR, AA, TP, HL and FT designed and HJW, BS, AR and FT organized the ring trial. JP, AMA, AA, NV, JH and AC acquired the data and HJW and FT analysed the data. HJW and FT drafted the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Henk J. Wisselink.

Ethics declarations

Ethics approval and consent to participate

Sampling of the calves was granted an exemption from requiring ethics approval by the institutional Animal Experiment Commission "Dier Experimenten Commissie (DEC) Lelystad (2013111.b), because sampling was performed for diagnostic purposes. Verbal informed consent was obtained from the farmers for use of BALF.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

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

Additional file

Additional file 1:

Raw data to Figs. 1, 2 and 3 are provided in Additional file 1. (XLSX 29 kb)

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. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Wisselink, H.J., Smid, B., Plater, J. et al. A European interlaboratory trial to evaluate the performance of different PCR methods for Mycoplasma bovis diagnosis. BMC Vet Res 15, 86 (2019). https://doi.org/10.1186/s12917-019-1819-7

Download citation

Keywords

  • Mycoplasma bovis
  • Bovine respiratory disease
  • Real-time PCR
  • End-point PCR
  • Culture
  • Ring trial
  • Bronchoalveolar lavage fluid

BMC Veterinary Research

ISSN: 1746-6148

Contact us