Skip to main content

MALDI-TOF mass spectrometry and high-resolution melting PCR for the identification of Mycoplasma bovis isolates

Abstract

Background

Mycoplasma bovis is an important pathogen of cattle worldwide. Many different clinical manifestations of infection can occur, including respiratory disease, arthritis, and mastitis, causing heavy losses to beef and dairy industries. Because Mycoplasma species are slow-growing and fastidious, traditional identification methods are not cost- or time-effective, and improved methods are sought to streamline laboratory processes. High-resolution melting PCR (HRM-PCR) and matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) are 2 relatively recent tools that are rapid and inexpensive to use; we tested 9 isolates of M. bovis using both assays. The HRM-PCR assay used universal mycoplasma primers for the 16S–23S intergenic spacer region (IGSR).

Results

The resulting melting profiles of the field isolates were indistinguishable from the reference strain, indicating accurate identification. For the MALDI-TOF MS, each M. bovis isolate was accurately identified. Mycoplasma arginini and Mycoplasma alkalescens isolates did not identify as M. bovis when tested by either assay.

Conclusions

Our work shows that either assay could be used to identify unknown M. bovis isolates. For future work, the MALDI-TOF MS library should be expanded to include more mycoplasmas, and the HRM-PCR assay should be tested on additional mycoplasmas to ensure that the melting profiles are sufficiently distinctive.

Background

Mycoplasma bovis is an important pathogen to the beef and dairy industries, causing respiratory disease, arthritis, mastitis, and other infections as well [1]. Few studies of its economic impact have been conducted, but it is estimated that in the United States up to $32 million per year is lost by the beef industry as a result of reduced weight gain, and up to $108 million per year is lost by the dairy industry because of mastitis [1]. Identification of M. bovis and other Mycoplasma species in general can be arduous. Although biochemical tests are the gold standard for conventional bacteria, these methods take weeks to detect the fastidious and slow-growing mycoplasmas. Classically, serological tests have been used to identify mycoplasma isolates [2], however these assays require many different reagents and can be cumbersome to perform. The advent of PCR has been critical to increase the detection of Mycoplasma species, with the benefit of being able to perform PCR on field samples without prior culture. Drawbacks to PCR include the questionable clinical relevance of high Cts, the potential for missing some strains depending on the assay [3], and the inability to identify co-infections or infections with other Mycoplasmas. To quickly diagnose cattle to prevent further spread of the infection and facilitate selection of appropriate treatment, faster methods of identification are needed.

Matrix-assisted laser desorption/ionization-time of flight mass spectrometry (MALDI-TOF MS) is a tool that can be used to analyze the protein composition of bacteria [4]. In the last 15 years, this technology has been used to identify bacteria based on their protein profile [5]. With regards to Mycoplasma species, MALDI-TOF MS has been used to identify clinically relevant human isolates [6, 7] as well as isolates from a variety of animal species, including M. bovis from cattle [6, 8,9,10,11].

Another laboratory tool is high-resolution melting PCR (HRM-PCR). This technology can be used for a variety of purposes, such as genotyping and strain differentiation of bacteria, [12, 13] and identification of viruses and fungi [14, 15]. One benefit of HRM-PCR over traditional real-time PCR for pathogen identification is that one set of primers can be used to distinguish between different species or different strains of the same species, increasing efficiency. Depending on the target for the assay, different species or strains will exhibit a unique melting profile. Much of the HRM-PCR work done with Mycoplasma spp. has been with poultry isolates to distinguish between vaccine strains and field strains of the same species [16,17,18]. Experiments with general strain differentiation have been performed as well [19,20,21] in addition to one study using HRM to detect mutations conferring antibiotic resistance in Mycoplasma hyopneumoniae [22]. Little HRM-PCR has been done for identification of Mycoplasma spp., although the efficacy of such an assay using universal primers for canine, avian, and ruminant mycoplasmas has been explored [23].

We compared the accuracy of HRM-PCR and MALDI-TOF MS in the identification of 8 M. bovis strains isolated at the Iowa State University Veterinary Diagnostic Laboratory and identified by species-specific PCR [24] along with a reference strain. Our research assesses two emerging diagnostic tools to further improve the diagnostic process for identification of Mycoplamsa bovis isolates.

Results

The 8 M. bovis isolates and the M. bovis reference strain exhibited 2 melt peaks: the first at 76.25 ± 0.005 °C and the second at 80.94 ± 0.008 °C. Additionally, the height of the second peak was one-third the height of the first peak (Fig. 1). No significant difference between the melting temperatures was present when comparing the field strains to the reference strain for either the first peak or the second peak (Table 1).

Fig. 1
figure1

Identification of Mycoplasma bovis isolates by high-resolution melting PCR. HRM-PCR was done in triplicate for each isolate. The PCR threshold was determined automatically by the Qiagen Rotor-Gene Q Series Software

Table 1 Mean melt peak temperaturesa for Mycoplasma bovis isolates

None of the additional bovine mycoplasmas exhibited a second peak of ~ 80.94 °C and were not identified as M. bovis. Every M. bovis isolate was correctly identified as M. bovis by the MALDI-TOF MS software, although the top scores ranged from 1.71 to 2.39. The reference strain (ATCC25025, B9) had the highest score, but it was only significantly higher than 2 of the 8 field strains (Fig. 2) The other two species both had a result of no organism identification possible, indicating that there was no match in the library to the spectra that were generated.

Fig. 2
figure2

Mean MALDI-TOF MS score of the four spots for each Mycoplasma bovis isolate. The Dunnett test was performed comparing the field isolates to B9 (gray), the reference strain. An asterisk indicates p ≤ 0.05

Discussion

In the HRM-PCR assay, 2 melting peaks were present for each M. bovis isolate, at temperatures consistent with previous findings for this assay [23]. A possible explanation for the 2 peaks is that the M. bovis genome contains 2 copies of the rRNA genes, and if the sequences vary sufficiently, they could have resulted in different melting temperatures (Tm) [25]. When comparing the DNA sequences of the 2 16S–23S IGSR and the segments of the 16S and 23S rRNA that would be amplified by this assay, the sequences are almost identical identical in M. bovis strain PG45. The non-IGSR parts of the amplicons are exactly the same, and only 2 deletions and 1 single nucleotide polymorphism are present in the second copy compared to the first copy. This would likely not be enough to change the Tm by almost 5 °C, and even if it would, the brightness of the 2 peaks would be approximately equal given that the 2 16S–23S IGSR sequences are both 311 bp in length [25]. An alternative explanation for the presence of 2 peaks is that the sequences have 2 regions with significantly different GC content, resulting in a partial melt followed by a complete melt at a higher temperature. This second explanation seems to be more likely, as the second, higher Tm (80.94 °C) of each isolate was less fluorescent, indicating that less dye was released and so less DNA remained to melt.

The MALDI-TOF MS scores for the reference strain of M. bovis tended to be higher than at least some of the field strains. This was expected, given that spectra for that strain are present in the MALDI-TOF MS library that we used. Although the MALDI-TOF MS software identified each M. bovis isolate correctly, spectra from only 10 Mycoplasma spp. other than M. bovis were present. None of these were from closely related species such as M. agalactiae, M. californicum, or M. fermentans [26, 27]. It is worth noting, however, that none of the field isolates were misidentified as one of the other mycoplasmas present in the library, nor were the other mycoplasmas misidentified as M. bovis. Many of the MALDI scores were also between 1.7 and 2.0, indicating that the top scoring organism may not be acceptable for species-level identification, though other investigators have determined that scores > 1.7 may be sufficient for certain Mycoplasma spp. including M. bovis [6].

HRM-PCR and MALDI-TOF MS are testing different aspects of the genetic code, and depending on the circumstance, one test may be preferred. MALDI-TOF MS creates spectra from the proteins of the cultures whereas HRM-PCR generates a melt curve profile from the DNA. MALDI-TOF MS would find no difference between 2 isolates with varying silent mutations, because these do not affect the encoded amino acids, and for identification purposes, this would be preferred. As new, variant isolates of a species are discovered, additional spectra can be added to the database to improve its identification capabilities. HRM-PCR relies on only one isolate per species as a control, whereas MALDI-TOF MS needs spectra from multiple isolates of a species in order to get a well-rounded library of spectra of a given species. If the primer target sequence varies too much with a given species however, HRM-PCR will not be able to identify that organism, therefore the PCR primers must be extremely well-validated.

In the future, other mycoplasmas should be explored for the HRM-PCR assay to confirm that between Mycoplasma species the melt curve profile generated is unique, but within species it is the same, i.e., determine the specificity and sensitivity, respectively. Additionally, the potential use of HRM-PCR directly of tissue samples should be investigated, as this would drastically decrease the time and cost required for identification. For MALDI-TOF MS, the addition of spectra of species more closely related to M. bovis may be beneficial; however, additional reference strains are vital for more consistent and accurate identification. Focus should be given also to the isolates identified in our study as M. bovis but with scores between 1.7 and 2.0, because these are more likely to improve the library for this organism as they have been shown to be less similar to the isolates currently in the library.

Conclusion

The 2 methods that were explored both resulted in accurate identification 100% of the time for the M. bovis isolates utilized in our study. The HRM-PCR assay found no difference between the melting peaks of the field isolates and the reference strain, and all replicates of the M. bovis isolates in MALDI-TOF MS resulted in scores of ≥1.7. Both assays can be completed in less than 2 h and, if using validated, universal primers for the HRM-PCR, both assays could be used for many different species, making them overall much less expensive than a separate assay for each individual organism.

Methods

Eight isolates of Mycoplasma bovis and one reference strain (Table 2) were grown for 3–5 days in PPLO broth with horse serum (University of California-Davis, Davis, CA) and supplemented with 5 μg/mL cefoperazone inhibitor (MilliporeSigma, Burlington, MA) for the HRM-PCR. They were then subcultured onto PPLO agar with horse serum (University of California-Davis) and grown for 4 days for use in MALDI-TOF MS. All isolates were grown at 37 °C with 7.5% CO2. In order to evaluate the specificity of the assays, M. arginini and M. alkalescens, which are frequently isolated from cattle [28] and were identified by sequencing of the 16S rRNA gene, were grown as stated above and tested with both assays.

Table 2 Mycoplasma isolates and their origin

Genomic DNA was extracted from 200 μL of liquid culture by boiling for 10 min. The cells were then pelleted by centrifugation in a tabletop centrifuge at 15,871×g for 3 min. In order to mimic the high-throughput environment of a diagnostic laboratory, the amount of DNA in each extract was not standardized. Universal primers targeting the 16S–23S intergenic spacer region (IGSR) were used for this assay as previously described: F 5′-ACACCATGGGAGYTGGTAAT-3′ and R 5′-CTCCWTCGACTTYCAGACCCAAGGCAT-3′ [23]. The Qiagen HRM PCR Master Mix (Qiagen, Venlo, Netherlands) was used according to manufacturer’s recommendations with 2.5 μL of DNA extract per well. Sterile water was used in place of the extract for the negative amplification control, and sterile medium was extracted for the negative extraction control. The HRM-PCR was performed in triplicate (RotorGene Q; Qiagen) using the cycling conditions described previously [23].

After growing for 4 days on solid medium, the 8 isolates and the M. bovis reference strain were run in MALDI-TOF MS (MALDI BioTyper 3.1; Bruker Daltonics, Billerica, MA) using the reference database MBT 6903 MSP Library (829023). The library includes spectra for the following Mycoplasma species (number of isolates): M. alkalescens (2), M. arginini (2), M. bovis (2), M. gallinaceum (2), M. gallisepticum (2), M. hominis (2), M. ovipneumoniae (2), M. pullorum (2), M. canis (1), M. hyorhinis (1), and M. salivarium (1). Two additional spectra for M. bovis were added by the ISUVDL, one of which was the reference strain (ATCC 25025). As the colonies were small, multiple colonies of each isolate were directly spotted from the agar plates 4 times onto a single steel target using a sterile loop. α-Cyano-4-hydroxycinnamic acid (HCCA) was applied as matrix and the isolates were then run in the instrument according to the manufacturer’s recommendations (Bruker Daltonics).The result is expressed as a logarithmic score of 0 to 3 with a score of ≥2.0 considered acceptable for identification at the species level. This score is based on the matches and intensity of the peaks detected (MALDI BioTyper 3.1 User Manual. 2012. Bruker Daltonics).

Using the whole genome sequence of Mycoplasma bovis PG45 (ATCC 25523) available in GenBank under accession CP002188, the sequences of the 2 copies of the 16S–23S intergenic spacer regions 16S rRNA, and 23S rRNA that would be amplified by the HRM-PCR assay were analyzed and compared. These two sequences were aligned using MEGA-X to observe differences in the sequences. The Dunnett test for multiple comparisons was used to compare the melting temperatures of the field isolates to those of the reference strain for the HRM-PCR assay. MALDI-TOF MS data was analyzed using a one-way ANOVA with the Tukey multiple comparison test.

Availability of data and materials

The 16S–23S intergenic spacer region genome sequences are available in GenBank under accession CP002188. Any datasets used or analyzed that are not clearly included in the text are available from the corresponding author upon request.

Abbreviations

HRM-PCR:

High resolution melting curve polymerase chain reaction

MALDI-TOF MS:

Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry

IGSR:

Intergenic spacer region

References

  1. 1.

    Maunsell FP, Woolums AR, Francoz D, Rosenbusch RF, Step DL, Wilson DJ, et al. Mycoplasma bovis infections in cattle. J Vet Intern Med. 2011;25(4):772–83. https://doi.org/10.1111/j.1939-1676.2011.0750.x.

  2. 2.

    Tully J. Methods in Mycoplasmology V2: diagnostic Mycoplasmology. New York; Academic Press, Inc; 2012. Elsevier Science.

  3. 3.

    Register KB, Boatwright WD, Gesy KM, Thacker TC, Jelinski MD. Mistaken identity of an open reading frame proposed for PCR-based identification of mycoplasma bovis and the effect of polymorphisms and insertions on assay performance. J Vet Diagnostic Invest. 2018;30(4):637–41. https://doi.org/10.1177/1040638718764799.

    CAS  Article  Google Scholar 

  4. 4.

    Holland RD, Wilkes JG, Rafii F, Sutherland JB, Persons CC, Voorhees KJ, et al. Rapid identification of intact whole bacteria based on spectral patterns using matrix-assisted laser desorption/ionization with time-of-flight mass spectrometry. Rapid Commun Mass Spectrom. 1996;10(10):1227–32. https://doi.org/10.1002/(SICI)1097-0231(19960731)10:10<1227::AID-RCM659>3.0.CO;2-6.

  5. 5.

    Bernardo K, Pakulat N, Macht M, Krut O, Seifert H, Fleer S, et al. Identification and discrimination of Staphylococcus aureus strains using matrix-assisted laser desorption/ionization-time of flight mass spectrometry. Proteomics. 2002;2(6):747–53. https://doi.org/10.1002/1615-9861(200206)2:6<747::AID-PROT747>3.0.CO;2-V.

  6. 6.

    Pereyre S, Tardy F, Renaudin H, Cauvin E, Del Pra Netto Machado L, Tricot A, et al. 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(10):3314–23. https://doi.org/10.1128/JCM.01573-13.

  7. 7.

    Pailhories H, Rabier V, Eveillard M, Mahaza C, Joly-Guillou ML, Chennebault JM, et al. A case report of Mycoplasma hominis brain abscess identified by MALDI-TOF mass spectrometry. Int J Infect Dis. 2014;29:166–8. https://doi.org/10.1016/j.ijid.2014.08.004.

  8. 8.

    Goto K, Yamamoto M, Asahara M, Tamura T, Matsumura M, Hayashimoto N, et al. Rapid identification of Mycoplasma pulmonis isolated from laboratory mice and rats using matrix-assisted laser desorption ionization time-of-flight mass spectrometry. J Vet Med Sci. 2012;74(8):1083–6. https://doi.org/10.1292/jvms.12-0029.

  9. 9.

    Spergser J, Hess C, Loncaric I, Ramirez AS. Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry Is a Superior Diagnostic Tool for the Identification and Differentiation of Mycoplasmas Isolated from Animals. J Clin Microbiol. 2019;57(9):e00316–19.

  10. 10.

    Bokma J, Van Driessche L, Deprez P, Haesebrouck F, Vahl M, Weesendorp E, et al. Rapid Identification of Mycoplasma bovis Strains from Bovine Bronchoalveolar Lavage Fluid with Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry after Enrichment Procedure. J Clin Microbiol. 2020;58(6):e00004–20.

  11. 11.

    Bokma J, Pardon B, Van Driessche L, Gille L, Deprez P, Haesebrouck F, et al. Optimizing identification of mycoplasma bovis by MALDI-TOF MS. Res Vet Sci. 2019;125:185–8. https://doi.org/10.1016/j.rvsc.2019.06.010.

  12. 12.

    Winchell JM, Wolff BJ, Tiller R, Bowen MD, Hoffmaster AR. Rapid identification and discrimination of Brucella isolates by use of real-time PCR and high-resolution melt analysis. J Clin Microbiol. 2010;48(3):697–702. https://doi.org/10.1128/JCM.02021-09.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  13. 13.

    Tamburro M, Ripabelli G. High resolution melting as a rapid, reliable, accurate and cost-effective emerging tool for genotyping pathogenic bacteria and enhancing molecular epidemiological surveillance: a comprehensive review of the literature. Ann Ig. 2017;29(4):293–316. https://doi.org/10.7416/ai.2017.2153.

    CAS  Article  PubMed  Google Scholar 

  14. 14.

    Didehdar M, Khansarinejad B, Amirrajab N, Shokohi T. Development of a high-resolution melting analysis assay for rapid and high-throughput identification of clinically important dermatophyte species. Mycoses. 2016;59(7):442–9. https://doi.org/10.1111/myc.12492.

    CAS  Article  PubMed  Google Scholar 

  15. 15.

    Toubanaki DK, Karagouni E. Genotype-specific real-time PCR combined with high-resolution melting analysis for rapid identification of red-spotted grouper nervous necrosis virus. Arch Virol. 2017;162(8):2315–28. https://doi.org/10.1007/s00705-017-3375-4.

    CAS  Article  PubMed  Google Scholar 

  16. 16.

    Ghorashi SA, Noormohammadi AH, Markham PF. Differentiation of Mycoplasma gallisepticum strains using PCR and high-resolution melting curve analysis. Microbiology. 2010;156(Pt 4):1019–29. https://doi.org/10.1099/mic.0.031351-0.

    CAS  Article  PubMed  Google Scholar 

  17. 17.

    Ghorashi SA, Bradbury JM, Ferguson-Noel NM, Noormohammadi AH. Comparison of multiple genes and 16S-23S rRNA intergenic space region for their capacity in high resolution melt curve analysis to differentiate Mycoplasma gallisepticum vaccine strain ts-11 from field strains. Vet Microbiol. 2013;167(3–4):440–7. https://doi.org/10.1016/j.vetmic.2013.09.032.

    CAS  Article  PubMed  Google Scholar 

  18. 18.

    Shahid MA, Markham PF, Marenda MS, Agnew-Crumpton R, Noormohammadi AH. High-resolution melting-curve analysis of obg gene to differentiate the temperature-sensitive Mycoplasma synoviae vaccine strain MS-H from non-temperature-sensitive strains. PLoS One. 2014;9(3):e92215. https://doi.org/10.1371/journal.pone.0092215.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  19. 19.

    Ghorashi SA, Kanci A, Noormohammadi AH. Evaluation of the capacity of PCR and high-resolution melt curve analysis for identification of mixed infection with Mycoplasma gallisepticum strains. PLoS One. 2015;10(5):e0126824. https://doi.org/10.1371/journal.pone.0126824.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  20. 20.

    Jeffery N, Gasser RB, Steer PA, Noormohammadi AH. Classification of Mycoplasma synoviae strains using single-strand conformation polymorphism and high-resolution melting-curve analysis of the vlhA gene single-copy region. Microbiology. 2007;153(Pt 8):2679–88. https://doi.org/10.1099/mic.0.2006/005140-0.

    CAS  Article  PubMed  Google Scholar 

  21. 21.

    Al-Farha AA, Petrovski K, Jozani R, Hoare A, Hemmatzadeh F. Discrimination between some Mycoplasma spp. and Acholeplasma laidlawii in bovine milk using high resolution melting curve analysis. BMC Res Notes. 2018;11(1):107.

    Article  Google Scholar 

  22. 22.

    Felde O, Kreizinger Z, Sulyok KM, Wehmann E, Gyuranecz M. Development of molecular biological tools for the rapid determination of antibiotic susceptibility of mycoplasma hyopneumoniae isolates. Vet Microbiol. 2020;245:108697. https://doi.org/10.1016/j.vetmic.2020.108697.

    CAS  Article  PubMed  Google Scholar 

  23. 23.

    Rebelo AR, Parker L, Cai HY. Use of high-resolution melting curve analysis to identify Mycoplasma species commonly isolated from ruminant, avian, and canine samples. J Vet Diagn Investig. 2011;23(5):932–6. https://doi.org/10.1177/1040638711416846.

    Article  Google Scholar 

  24. 24.

    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 Diagnostic Invest. 2010;22(6):956–60. https://doi.org/10.1177/104063871002200618.

    Article  Google Scholar 

  25. 25.

    Wise KS, Calcutt MJ, Foecking MF, Roske K, Madupu R, Methe BA. Complete genome sequence of Mycoplasma bovis type strain PG45 (ATCC 25523). Infect Immun. 2011;79(2):982–3. https://doi.org/10.1128/IAI.00726-10.

    CAS  Article  PubMed  Google Scholar 

  26. 26.

    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(4):1093–8. https://doi.org/10.1099/00207713-46-4-1093.

    CAS  Article  PubMed  Google Scholar 

  27. 27.

    Mattsson JG, Guss B, Johansson KE. The phylogeny of Mycoplasma bovis as determined by sequence analysis of the 16S rRNA gene. FEMS Microbiol Lett. 1994;115(2–3):325–8. https://doi.org/10.1111/j.1574-6968.1994.tb06658.x.

    CAS  Article  PubMed  Google Scholar 

  28. 28.

    Parker AM, Sheehy PA, Hazelton MS, Bosward KL, House JK. A review of mycoplasma diagnostics in cattle. J Vet Intern Med. 2018;32(3):1241–52. https://doi.org/10.1111/jvim.15135.

    Article  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgements

Not applicable.

Funding

The authors received no financial support for the research, authorship, and/or publication of this article.

Author information

Affiliations

Authors

Contributions

AJM contributed to conceptualization, methodology, investigation, data analysis, and manuscript preparation. RJD contributed to conceptualization, methodology, and manuscript preparation. The authors read and approved the final manuscript.

Corresponding author

Correspondence to Rachel J. Derscheid.

Ethics declarations

Ethics approval and consent to participate

Not applicable.

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 licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

McDaniel, A.J., Derscheid, R.J. MALDI-TOF mass spectrometry and high-resolution melting PCR for the identification of Mycoplasma bovis isolates. BMC Vet Res 17, 170 (2021). https://doi.org/10.1186/s12917-021-02870-5

Download citation