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Hemotrophic mycoplasma in Simmental cattle in Bavaria: prevalence, blood parameters, and transplacental transmission of ‘Candidatus Mycoplasma haemobos’ and Mycoplasma wenyonii

  • 1Email author,
  • 2,
  • 2 and
  • 1
Contributed equally
Acta Veterinaria Scandinavica201860:74

https://doi.org/10.1186/s13028-018-0428-y

  • Received: 26 July 2018
  • Accepted: 11 November 2018
  • Published:

Abstract

Background

The significance of hemotrophic mycoplasma in cattle remains unclear. Especially in Europe, their epidemiological parameters as well as pathophysiological influence on cows are lacking. The objectives of this study were: (1) to describe the prevalence of ‘Candidatus Mycoplasma haemobos’ (‘C. M. haemobos’) and Mycoplasma wenyonii (M. wenyonii) in Bavaria, Germany; (2) to evaluate their association with several blood parameters; (3) to explore the potential of vertical transmission in Simmental cattle; and (4) to evaluate the accuracy of acridine-orange-stained blood smears compared to real-time polymerase chain reaction (PCR) results to detect hemotrophic mycoplasma. A total of 410 ethylenediaminetetraacetic acid-blood samples from cows from 41 herds were evaluated by hematology, acridine-orange-stained blood smears, and real-time PCR. Additionally, blood samples were taken from dry cows of six dairy farms with positive test results for hemotrophic mycoplasma to investigate vertical transmission of infection.

Results

The period prevalence of both species was 60.24% (247/410), C. M. haemobos 56.59% (232/410), M. wenyonii 8.54% (35/410) and for coinfection 4.88% (20/410). Of the relevant blood parameters, only mean cell volume (MCV), mean cell hemoglobin (MCH), and white blood cell count (WBC) showed differences between the groups of infected and non-infected individuals. There were lower values of MCV (P < 0.01) and MCH (P < 0.01) and higher values of WBC (P < 0.05) in ‘C. M. haemobos’-infected cows. In contrast, co-infected individuals had only higher WBC (P < 0.05). In M. wenyonii-positive blood samples, MCH was significantly lower (P < 0.05). Vertical transmission of ‘C. M. haemobos’ was confirmed in two calves. The acridine-orange-method had a low sensitivity (37.39%), specificity (65.97%), positive predictive value (63.70%) and negative predictive value (39.75%) compared to PCR.

Conclusions

Candidatus Mycoplasma haemobos’ was more prevalent than M. wenyonii in Bavarian Simmental cattle, but infection had little impact on evaluated blood parameters. Vertical transmission of the infection was rare. Real-time PCR is the preferred diagnostic method compared to the acridine-orange-method.

Keywords

  • Acridine-orange-stained blood smears
  • Anemia
  • Blood parameters
  • C. M. haemobos’
  • Cattle
  • Hemotrophic mycoplasma
  • M. wenyonii
  • Prevalence
  • Real-time PCR
  • Vertical transmission

Background

Mycoplasma wenyonii (M. wenyonii) [13] and the recently discovered, not yet fully classified, species ‘Candidatus Mycoplasma haemobos’ (‘C. M. haemobos’) [4, 5] have been described as major hemotrophic mycoplasma in cattle. Hemotrophic mycoplasma infections have been associated with various unspecific clinical signs and resulting clinical relevance. Decline in milk yield, reproductive inefficiency, weight loss, transient fever, rough hair coat, vaginal bleeding, regenerative anemia, icterus, and reduced body weight at birth of infected calves were associated with a single infection or coinfection of M. wenyonii and ‘C. M. haemobos’ [612]. Some studies did not find any correlation between an infection with either ‘C. M. haemobos’ or M. wenyonii and the occurrence of regenerative anemia or changes of various blood parameters in cattle [6, 10, 11, 13, 14]. In contrast, coinfection with Anaplasma (A.) marginale was shown to enhance anemia and to be potentially fatal [15, 16]. However, infection with bovine leukemia virus was unlikely to be a risk factor. Both hemotrophic mycoplasmas have been described to be transmitted either horizontally by insects or vertically/transplacentally [13, 17, 18]. Among described risk factors, cattle in indoor housing and cattle aged 1–3 years seem to be more likely to get infected than pasture-based or older cattle, respectively [6].

The prevalence of infection varies by study and country. A recent Japanese study found a prevalence of 69.4% in 36 cows in Hiroshima and 93.8% in 32 cows in Miyazaki [19]. Another larger Japanese study with 343 cows also found a 64.7% prevalence with hemotrophic mycoplasmas—almost evenly attributed to M. wenyonii (38.5%) and ‘C. M. haemobos’ (39.1%) [20]. Similarly, a large Brazilian study with 433 cows described a prevalence of ‘C. M. haemobos’ of 60.97% [21].

The diagnosis of hemotrophic mycoplasma infection has traditionally been made by the visual assessment of acridine-orange-stained blood smears with fluorescence microscopy [22]. Here, contrast-stained, dot-like deposits on erythrocytes are visible. However, the risk of misinterpretation of artifacts or other infections is high [23, 24]. Therefore, hemotrophic mycoplasmas are currently identified with either 16S rDNA polymerase chain reaction (PCR) [25] or real-time PCR [26]. The latter seems to be superior to the former in cats [27] and cattle [28], but confirmative data are lacking.

Due to the limited information of the infection in Bavarian cattle, the objectives of this study were (1) determine the prevalence of ‘C. M. haemobos’ and M. wenyonii in Bavarian Simmental cattle, (2) evaluate the association of infection with hematological parameters, (3) evaluate the likelihood of transplacental transmission, and (4) evaluate the accuracy of detecting hemotrophic mycoplasma by acridine-orange-stained blood smears compared to real-time PCR results.

Methods

A convenience sample of 41 dairy farms from the four South-Eastern-Bavarian administrative districts Kehlheim, Landshut, Dingolfing-Landau, and Rottal-Inn were enrolled (Fig. 1). Farms were clients of the Bavarian Animal Health Services that were willing to participate. At each farm 9 mL ethylenediaminetetraacetic acid (EDTA) blood samples were taken from 10 adult Simmental dairy cows during routine herd health visits from September 15, 2015 until July 11, 2016. Furthermore, on six farms with a history of hemotrophic mycoplasma infection, EDTA blood samples were collected from dry cows and their calves immediately post natum, prior to the first feeding of colostrum. All samples were delivered immediately to the laboratory by our courier service and were processed within 24 h after drawing of blood, including blood smears.
Fig. 1
Fig. 1

Geographical location of sample origin in Germany. Grey area: Bavaria; Black area: origin of blood samples (administrative districts Kehlheim, Landshut, Dingolfing-Landau and Rottal-Inn); map based on: Wikimedia Commons, Germany location map.svg

Each blood sample was analyzed for erythrocyte count (RBC), hemoglobin (Hb), hematocrit (Hct), mean cell volume (MCV), red blood cell distribution width (RDW), mean cell hemoglobin concentration (MCHC), mean cell hemoglobin (MCH), reticulocyte (Retic), platelet as well as white blood cell count (WBC) by automatic blood cell counter (IDEXX ProCyte Dx; IDEXX GmbH, Ludwigsburg, Germany).

Additionally, blood smears were stained with acridine orange (Carl Roth GmbH & Co. KG, Karlsruhe, Germany). Briefly, blood smears were fixed with ethanol for 1 min and then air dried. Acridine orange solution (0.25 mg/mL) was applied for 30 min in the dark. Subsequently, the slides were rinsed with water, air dried, and evaluated under ultraviolet (UV) light excitation with a fluorescence microscope for erythrocytes infected with hemotrophic mycoplasma. Furthermore, aliquots of the blood samples were tested by quantitative real-time PCR as described previously [28]. Briefly, for DNA extraction, 200 µL of EDTA-anticoagulated blood was mixed with an equal volume of lysis buffer (10 mM Tris pH 7.5, 5 mM MgCl2, 330 mM sucrose, 1% (v/v) Triton X-100) and centrifuged (8000×g, 21 °C, 1 min). DNA was purified from the pellet using the GenElute™ Bacterial Genomic DNA Kit (Sigma-Aldrich, Steinheim, Germany). To determine cross reaction, one PBS control was included in each extraction run (10 samples). ‘C. M. haemobos’ and M. wenyonii were quantitatively detected with the StepOne™ System (Applied Biosystems, Foster City, USA). The reaction mixture (20 µL) contained 10 µL of the 2× SYBR Green PCR Master Mix (Thermo Fisher, Munich, Germany), 0.5 µM of primer each, and 2 µL of template DNA. Dilutions of plasmid DNA defining 105, 104, 103 genome equivalents (GE) per reaction were included as standards into the runs.

Based on the results of the real-time PCR, cattle were categorized into ‘infection negative’ (no detection of ‘C. M. haemobos’ or M. wenyonii), ‘infection total’ (detection of either ‘C. M. haemobos’ or M. wenyonii), ‘C. M. haemobos’ (only detection of ‘C. M. haemobos’), M. wenyonii (only detection of M. wenyonii) and ‘coinfection’ (detection of both ‘C. M. haemobos’ and M. wenyonii).

All data were recorded in Microsoft EXCEL Microsoft Home and Student 2010, Version 14.0.7208.5000 (32 Bit), Microsoft Corporation 2010 and statistically analyzed in R× 64 Version 3.3.1 and RStudio Version 1.0.136 enhanced by packages “caret” and “e1071”. Level of significance was defined as α = 0.05.

Prevalence was calculated from the whole dataset of 410 samples. Statistical analysis of every other parameter but blood stains were calculated from a dataset of 409 samples. No blood cell count results were available in one sample due to technical problems.

The Shapiro–Wilks-test was performed to test for normal distribution of subgroups ‘infected’ or ‘non-infected’ for hematological parameters and indices. If normal distribution in both subgroups was confirmed, homoscedasticity was examined by Bartlett’s-test. If normal distribution was rejected for one or both subgroups, Fligner-Killeen’s-test was calculated. If there was no homogeneity of variances in normally distributed data, Welch’s t test was calculated. Whether or not infection with hemotrophic mycoplasmas was associated with hematological parameters was determined by computing Student’s or Welch’s independent two-sample-t-test if both subgroups were normally distributed. If one or both subgroups were not normally distributed, Wilcoxon’s rank-sum-test for independent samples was performed. In order to visualize relevant results, boxplots were generated, and its quantiles and medians were shown in numbers.

To assess intrauterine transmission, data was analyzed by Fisher’s-exact-test. The test was computed for blood samples positive for ‘C. M. haemobos’ or M. wenyonii separately. If identical species were demonstrated in corresponding blood-samples of cows and calves, transplacental transmission of hemotrophic mycoplasma in cattle was assumed.

The accuracy of detecting hemotrophic mycoplasmas via acridine-orange-stained blood smears was evaluated with a reduced dataset containing only 374 blood samples from 38 dairy farms, since no acridine-orange-stained blood smear evaluation was performed in the missing 36 blood samples due to laboratory problems. Reference values for this were generated by real-time PCR-testing. To specify the validation of the acridine-orange-method by the real-time PCR test-results, sensitivity, specificity, positive predictive value, and negative predictive value were determined compared to the real-time PCR as a gold standard by McNemar’s test and Cohen’s Kappa.

Results

Without accounting for herd, 60.24% (247/410) of cows tested positive by real-time PCR at least once for hemotrophic mycoplasma. More specifically, 56.59% (232/410) of cows were positive for ‘C. M. haemobos’, while 8.54% (35/410) and 4.88% (20/410) were positive for M. wenyonii or mixed infections, respectively. ‘C. M. haemobos’ was found in all tested herds (n = 41), while M. wenyonii was only detected in 16 of 41 farms. In comparison with the PCR detection, acridine-orange-stained blood smears showed a sensitivity of 37.39%, a specificity of 65.97%, a positive predictive value of 63.70%, and a negative predictive value of 39.75%. One hundred thirty-five blood smears were positive and 239 were negative for hemotrophic mycoplasma in contrast to 144 and 230 by real-time PCR, respectively. McNemar’s test P-value was  <  0.0001 and Cohen’s Kappa was 0.0299.

No differences were found for Hct, Hb, Retic, RBCs, and MCHC between infected and non-infected cows. ‘C. M. haemobos’ real-time-PCR positive cows showed lower values for MCV (P < 0.01), MCH (P < 0.01) and higher values for WBC (P < 0.05) (Fig. 2a–c, Table 1) while cows positive for M. wenyonii had lower MCH than ‘infection negative’ individuals (P < 0.05) (Fig. 2a, Table 1). In co-infected animals, only WBC was higher than in ‘infection negative’ individuals (P < 0.05) (Fig. 2c, Table 1).
Fig. 2
Fig. 2

Statistical analysis and comparison of selected blood parameters. Hematological results of 410 EDTA blood samples of Simmental cows and their distribution are shown using boxplot analysis. Groups were classified by real-time PCR results. a Mean cell volume (MCV) values, b mean cell hemoglobin (MCH) values, c white blood cell count (WBC) values. **Group differs from group “Infection negative” with P < 0.01. *Group differs from group “Infection negative” with P < 0.05

Table 1

Hematological parameters of infected and non-infected cows

Parameter

Infection negative (n = 163)

Infection total (n = 246)

‘Candidatus Mycoplasma haemobos’ (n = 231)

Mycoplasma wenyonii (n = 35)

Co-infection (n = 20)

Hct (%)

 Median

28.20

27.50

27.60

27.10

28.85

 2. Quartile

25.95

25.50

25.50

26.10

26.90

 4. Quartile

30.25

29.70

29.80

29.65

30.30

Hb (g/dL)

 Median

9.9

9.65

9.7

9.60

9.95

 2. Quartile

9.1

9.00

9.0

9.15

9.40

 4. Quartile

10.5

10.40

10.4

10.30

10.40

Retic (× 103/µL)

 Median

3.50

3.5

3.5

3.60

4.1

 2. Quartile

2.70

2.6

2.6

2.60

3.2

 4. Quartile

4.65

4.7

4.8

4.35

5.4

RBC (× 106/µL)

 Median

5.70

5.84

5.84

5.81

5.86

 2. Quartile

5.35

5.43

5.44

5.38

5.41

 4. Quartile

6.25

6.32

6.33

6.19

6.33

MCV (fL)

 Median

48.50

46.8**

46.70**

48.00

47.45

 2. Quartile

45.60

44.6

44.60

44.85

45.00

 4. Quartile

52.35

50.6

50.65

50.80

52.20

MCH (pg)

 Median

17.2

16.5**

16.5**

16.60*

16.35

 2. Quartile

16.2

15.6

15.6

15.65

15.85

 4. Quartile

18.1

17.4

17.4

17.40

17.60

MCHC (g/dL)

 Median

34.9

35.1

35.10

34.80

34.60

 2. quartile

34.1

34.2

34.20

34.00

33.65

 4. quartile

35.8

36.0

35.95

35.65

35.40

WBC (G/L)

 Median

6.56

7.06*

7.09*

6.96

7.69*

 2. Quartile

5.77

6.18

6.18

6.48

6.60

 4. Quartile

7.74

8.40

8.46

8.21

8.47

Difference from “infection negative”: * P < 0.05; ** P < 0.01

Finally, 50 dry cows were tested for a potential transplacental transmission. Of these, 18 cows (36.0%) were positive for ‘C. M. haemobos’, two cows were positive for M. wenyonii (4.0%), and seven cows were positive for both ‘C. M. haemobos’ and M. wenyonii (14.0%). It was possible to take 25 blood samples of corresponding newborn calves. Two of the tested calves were positive for ‘C. M. haemobos’ (Table 2)-one was born to a co-infected mother while the other calf came from a PCR-negative cow. All 25 calves were negative for M. wenyonii.
Table 2

Correlation of infection with ‘Candidatus Mycoplasma haemobos’ (‘C. M. haemobos’) in cows and their calves

Variable

Calves real-time PCR

Total (%)

P-value*

OR*

95% CI*

Positive (%)

Negative (%)

Cows real-time PCR

 Positive (%)

1 (4.0)

11 (44.0)

12 (48.0)

1

1.09

0.01 < OR < 92.61

 Negative (%)

1 (4.0)

12 (48.0)

13 (52.0)

   

 Total (%)

2 (8.0)

23 (92.0)

25 (100.0)

   

CI confidence interval, OR odds ratio, PCR polymerase chain reaction

* Fisher’s exact test

Discussion

The study provided data on hemotrophic mycoplasma in Bavarian Simmental cattle for the first time. The total prevalence of 60.24% for hemotrophic mycoplasma in Bavarian Simmentals was similar to that in Brazilian cattle [21] but slightly lower than that reported for Japan (69.4%, and 93.8% [19] and 64.7% [20]). Interestingly, the prevalence of the single species differed from those previously published in Japan, where ‘C. M. haemobos’ and M. wenyonii were evenly distributed. In contrast, in the current study ‘C. M. haemobos’ was much more prevalent than M. wenyonii or co-infections. These observed differences could be due to differences in climate, which could favor vector borne transmission, breed susceptibility, different housing systems (barn vs. pasture), or a higher proportion of younger animals in Japan than in Bavaria, but we did not collect specific data to support this hypothesis in this study [17, 20]. Because every sampled herd except one was only barn-housed, tick borne transmission can be neglected as a route of infection, whereas fly bites cannot be excluded.

Furthermore, unlike other studies [69, 11, 15, 16, 20], no association between infection status and anemia was observed. Instead, the observations of this study supported the results of other authors, especially for M. wenyonii, that also did not find an association [11, 12, 14]. However, there seems to be interaction between hemotrophic mycoplasma and erythrocytes, as both MCV and MCH decreased in the groups ‘infection total’ and ‘C. M. haemobos’. Similarly, MCH decreased in the M. wenyonii group. The lack of statistical difference in MCV or WBC between M. wenyonii’s and co-infected or ‘non-infected’ cows might be due to the small sample size of M. wenyonii-infected animals. The WBC increased, at least numerically, showing the highest levels in the group of co-infected cows. This may be a consequence of a presumably stronger stimulation of immunity by coinfection and consequently higher numbers of leukocytes. Future studies need to investigate whether anemia is dependent on co-infection of hemotrophic mycoplasma with other bacteria or on additional external factors, such as breed susceptibility. The observations of this study underlined again the limitations of acridine-orange stained blood smears for the detection of hemotrophic mycoplasma [23, 24, 29]. Since blood smears were made just after arrival of the blood samples at the laboratory, EDTA-caused detachment of hemotrophic mycoplasma from parts of the erythrocyte membranes could have contributed to the above-mentioned limitations in comparison to real-time PCR, by producing false negative results. The results of McNemar’s test and Cohen’s Kappa indicate significant difference between the two methods (acridin-orange-stained blood smears vs. real-time PCR) and poor inter-rater agreement, respectively.

The results also support previously reported vertical transmission of ‘C. M. haemobos’ in Simmental cattle. Similarly to another study, one calf that tested positive by real-time PCR for ‘C. M. haemobos’ was born from a negatively tested mother in this study [17]. One might speculate that the bacterial load was below the detection threshold of real-time PCR or indeed not present, when the blood sample was collected from the PCR negative dam. The obvious low frequency of transplacental transmission of ‘C. M. haemobos’ in cattle suggests that vertical infection is a minor pathway of infection. The low prevalence of M. wenyonii did not allow us to make inferences about transplacental transmission of M. wenyonii in cattle. Further investigations are needed to clarify this pathway of infection.

Conclusions

Candidatus Mycoplasma haemobos’ was more prevalent than M. wenyonii in Bavarian Simmental cattle, but an infection had little impact on evaluated blood parameters. Vertical transmission of the infection was observed for ‘C. M. haemobos’. Real-time PCR was found to be the preferred diagnostic method over the acridine-orange-detection method.

Notes

Declarations

Authors’ contributions

FMN contributed to the study design, study execution, data analysis, and data interpretation and wrote the manuscript. JA developed and performed real-time PCR and contributed to writing the manuscript. LEH contributed to the study design and revised the manuscript. BS contributed to study execution and data interpretation and contributed to writing the manuscript. All authors read and approved the final manuscript.

Acknowledgements

The authors thank Astrid Nagel, Birgit Isele-Rüegg, Anitta Mathias, and Christa Schäfer for excellent technical assistance. Furthermore, we are grateful for broad encouragement and cooperation provided by the farmers and critical revision of the manuscript by Ulrike Sorge, Ingrid Lorenz, and Jens Böttcher.

Competing interests

The authors declare that they have no competing interests.

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author upon reasonable request.

Ethics approval and consent to participate

We adhered to best clinical practices and complied with Directive 2010/63/EU. In accordance with Directive 2010/63/EU, Article 1, 5. (f), approval of an ethics committee is not mandatory.

Funding

Development of study design and execution, blood sample collection, and hematological analysis were financially supported by the Free State of Bavaria and the Bavarian Joint Founding Scheme for the Control and Eradication of Contagious Livestock Diseases.

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Authors’ Affiliations

(1)
Tiergesundheitsdienst Bayern e.V., Senator-Gerauer-Str. 23, 85586 Poing, Germany
(2)
Institut für Nutztierwissenschaften, Universität Hohenheim, Garbenstr. 30, 70593 Stuttgart, Germany

References

  1. Neimark H, Kocan KM. The cell wall-less rickettsia Eperythrozoon wenyonii is a mycoplasma. FEMS Microbiol Lett. 1997;156:287–91.View ArticlePubMedGoogle Scholar
  2. Neimark H, Johansson KE, Rikihisa Y, Tully JG. Proposal to transfer some members of the genera Haemobartonella and Eperythrozoon to the genus mycoplasma with descriptions of ‘Candidatus Mycoplasma haemofelis’, ‘Candidatus Mycoplasma haemomuris’, ‘Candidatus Mycoplasma haemosuis’ and ‘Candidatus Mycoplasma wenyonii’. Int J Syst Evol Microbiol. 2001;51:891–9.View ArticlePubMedGoogle Scholar
  3. Neimark H, Johansson KE, Rikihisa Y, Tully JG. Revision of haemotrophic Mycoplasma species names. Int J Syst Evol Microbiol. 2002;52:683.View ArticlePubMedGoogle Scholar
  4. Tagawa M, Matsumoto K, Inokuma H. Molecular detection of Mycoplasma wenyonii and ‘Candidatus Mycoplasma haemobos’ in cattle in Hokkaido, Japan. Vet Microbiol. 2008;132:177–80.View ArticlePubMedGoogle Scholar
  5. Hoelzle K, Hofmann-Lehmann R, Hoelzle LE. ‘Candidatus Mycoplasma haemobos’, a new bovine haemotrophic Mycoplasma species? Vet Microbiol. 2010;144:525–6.View ArticlePubMedGoogle Scholar
  6. Baggenstos R, Wenzinger B, Meli ML, Hofmann-Lehmann R, Knubben-Schweizer G. Haemoplasma infection in a dairy cow. Tierarztl Prax Ausg G Grosstiere Nutztiere. 2012;40:397–400.View ArticlePubMedGoogle Scholar
  7. Genova SG, Streeter RN, Velguth KE, Snider TA, Kocan KM, Simpson KM. Severe anemia associated with Mycoplasma wenyonii infection in a mature cow. Can Vet J. 2011;52:1018–21.PubMedPubMed CentralGoogle Scholar
  8. Gladden N, Haining H, Henderson L, Marchesi F, Graham L, McDonald M, et al. A case report of Mycoplasma wenyonii associated immune-mediated haemolytic anaemia in a dairy cow. Ir Vet J. 2015;69:1.View ArticlePubMedGoogle Scholar
  9. Hoelzle K, Winkler M, Kramer MM, Wittenbrink MM, Dieckmann SM, Hoelzle LE. Detection of ‘Candidatus Mycoplasma haemobos’ in cattle with anaemia. Vet J. 2011;187:408–10.View ArticlePubMedGoogle Scholar
  10. Smith JA, Thrall MA, Smith JL, Salman MD, Ching SV, Collins JK. Eperythrozoon wenyonii infection in dairy cattle. J Am Vet Med Assoc. 1990;196:1244–50.PubMedGoogle Scholar
  11. Tagawa M, Matsumoto K, Yokoyama N, Inokuma H. Comparison of the effect of two hemoplasma species on hematological parameters in cattle. J Vet Med Sci. 2010;72:113–5.View ArticlePubMedGoogle Scholar
  12. Tagawa M, Yamakawa K, Aoki T, Matsumoto K, Ishii M, Inokuma H. Effect of chronic hemoplasma infection on cattle productivity. J Vet Med Sci. 2013;75:1271–5.View ArticlePubMedPubMed CentralGoogle Scholar
  13. Hornok S, Micsutka A, Meli ML, Lutz H, Hofmann-Lehmann R. Molecular investigation of transplacental and vector-borne transmission of bovine haemoplasmas. Vet Microbiol. 2011;152:411–4.View ArticlePubMedGoogle Scholar
  14. McFadden A, Ha HJ, Donald JJ, Bueno IM, van Andel M, Thompson JC, et al. Investigation of bovine haemoplasmas and their association with anaemia in New Zealand cattle. N Z Vet J. 2016;64:65–8.View ArticlePubMedGoogle Scholar
  15. Hofmann-Lehmann R, Meli ML, Dreher UM, Gonczi E, Deplazes P, Braun U, et al. Concurrent infections with vector-borne pathogens associated with fatal hemolytic anemia in a cattle herd in Switzerland. J Clin Microbiol. 2004;42:3775–80.View ArticlePubMedPubMed CentralGoogle Scholar
  16. Hornok S, Micsutka A, Fernandez de Mera IG, Meli ML, Gonczi E, Tanczos B, et al. Fatal bovine anaplasmosis in a herd with new genotypes of Anaplasma marginale, Anaplasma ovis and concurrent haemoplasmosis. Res Vet Sci. 2012;92:30–5.View ArticlePubMedGoogle Scholar
  17. Girotto-Soares A, Soares JF, Bogado ALG, de Macedo CAB, Sandeski LM, Garcia JL, et al. ‘Candidatus Mycoplasma haemobos’: transplacental transmission in dairy cows (Bos taurus). Vet Microbiol. 2016;195:22–4.View ArticlePubMedGoogle Scholar
  18. Sasaoka F, Suzuki J, Hirata T, Ichijo T, Furuhama K, Harasawa R, et al. Vertical transmission of Mycoplasma wenyonii in cattle, supported by analysis of the ribonuclease P RNA gene—short communication. Acta Vet Hung. 2015;63:271–4.View ArticlePubMedGoogle Scholar
  19. Fujihara Y, Sasaoka F, Suzuki J, Watanabe Y, Fujihara M, Ooshita K, et al. Prevalence of hemoplasma infection among cattle in the western part of Japan. J Vet Med Sci. 2011;73:1653–5.View ArticlePubMedGoogle Scholar
  20. Tagawa M, Ybanez AP, Matsumoto K, Yokoyama N, Inokuma H. Prevalence and risk factor analysis of bovine hemoplasma infection by direct PCR in Eastern Hokkaido, Japan. J Vet Med Sci. 2012;74:1171–6.View ArticlePubMedGoogle Scholar
  21. Girotto A, Zangirolamo AF, Bogado AL, Souza AS, da Silva GC, Garcia JL, et al. Molecular detection and occurrence of ‘‘Candidatus Mycoplasma haemobos’ ’ n dairy cattle of Southern Brazil. Rev Bras Parasitol Vet. 2012;21:342–4.View ArticlePubMedGoogle Scholar
  22. Bobade PA, Nash AS, Rogerson P. Feline haemobartonellosis: clinical, haematological and pathological studies in natural infections and the relationship to infection with feline leukaemia virus. Vet Rec. 1988;122:32–6.View ArticlePubMedGoogle Scholar
  23. Heinritzi K. The diagnosis of Eperythrozoon suis infection. Tierarztl Prax. 1990;18:477–81.PubMedGoogle Scholar
  24. Tasker S, Lappin MR. Haemobartonella felis: recent developments in diagnosis and treatment. J Feline Med Surg. 2002;4:3–11.View ArticlePubMedGoogle Scholar
  25. McAuliffe L, Lawes J, Bell S, Barlow A, Ayling R, Nicholas R. The detection of Mycoplasma (formerly Eperythrozoon) wenyonii by 16S rDNA PCR and denaturing gradient gel electrophoresis. Vet Microbiol. 2006;117:292–6.View ArticlePubMedGoogle Scholar
  26. Meli ML, Willi B, Dreher UM, Cattori V, Knubben-Schweizer G, Nuss K, et al. Identification, molecular characterization, and occurrence of two bovine hemoplasma species in Swiss cattle and development of real-time TaqMan quantitative PCR assays for diagnosis of bovine hemoplasma infections. J Clin Microbiol. 2010;48:3563–8.View ArticlePubMedPubMed CentralGoogle Scholar
  27. Sykes JE, Drazenovich NL, Ball LM, Leutenegger CM. Use of conventional and real-time polymerase chain reaction to determine the epidemiology of hemoplasma infections in anemic and nonanemic cats. J Vet Intern Med. 2007;21:685–93.View ArticlePubMedGoogle Scholar
  28. Ade J, Niethammer F, Schade B, Schilling T, Hoelzle K, Hoelzle LE. Quantitative analysis of Mycoplasma wenyonii and ‘Candidatus Mycoplasma haemobos’ infections in cattle using novel gapN-based realtime PCR assays. Vet Microbiol. 2018;220:1–6.View ArticlePubMedGoogle Scholar
  29. Ritzmann M, Grimm J, Heinritzi K, Hoelzle K, Hoelzle LE. Prevalence of Mycoplasma suis in slaughter pigs, with correlation of PCR results to hematological findings. Vet Microbiol. 2009;133:84–91.View ArticlePubMedGoogle Scholar

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