Next Article in Journal
In Vivo Inhibitory Assessment of Potential Antifungal Agents on Nosema ceranae Proliferation in Honey Bees
Previous Article in Journal
Extracellular Vesicles Derived from Allergen Immunotherapy-Treated Mice Suppressed IL-5 Production from Group 2 Innate Lymphoid Cells
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Occurrence of Mycoplasma parvum in German Pigs of Different Age Groups Using a Novel Quantitative Real-Time PCR Assay

1
Institute of Animal Science, Institute of Animal Science, Department of Livestock Infectiology and Environmental Hygiene, University Hohenheim, 70599 Stuttgart, Germany
2
Clinic for Swine, Centre for Clinical Veterinary Medicine, LMU Munich, 85764 Oberschleissheim, Germany
*
Author to whom correspondence should be addressed.
Pathogens 2022, 11(11), 1374; https://doi.org/10.3390/pathogens11111374
Submission received: 24 October 2022 / Revised: 11 November 2022 / Accepted: 14 November 2022 / Published: 18 November 2022
(This article belongs to the Section Bacterial Pathogens)

Abstract

:
Mycoplasma (M.) parvum is a hemotrophic bacterium circulating in the blood of pigs but is not considered a primary pathogen. Only a handful of studies dealing with this agent have been published since its first description in 1951, and many issues, including epidemiology and the impact of subclinical infections, are yet to be elucidated. This study aimed to establish a M. parvum specific real-time PCR for its detection and quantification in porcine blood and the application of this assay to obtain insights into the occurrence of M. parvum in German pigs. Furthermore, 16S rDNA amplicons of M. parvum positive blood samples were phylogenetically analyzed using MEGA 11 software. The established qPCR targeting the M. parvum glyceraldehyde-3-phosphate dehydrogenase encoding gene (gap) showed a lower detection limit of 10 gene copies per reaction and no cross-reactivity within the specificity test. A total of 36.0% (n = 72) of the sampled fattening pigs, 25.0% (n = 15) of the sows, and 4.37% (n = 8) of the boars tested M. parvum positive. The dendrogram showed the typical allocation of the M. parvum isolates into the “haemominutum group” subgroup within the hemotrophic Mycoplasma species. Both the novel established qPCR and the obtained epidemiological data can serve as an important basis for future studies dealing with M. parvum.

1. Introduction

Hemotrophic mycoplasmas (HMs), small cell-wall-less pathogens, are found on and in erythrocytes in the blood of a wide range of mammalian hosts, including human beings [1,2,3]. Three porcine HM species are known so far: the two long-known species Mycoplasma suis and Mycoplasma parvum [4] and the recently described species Candidatus (Ca.) Mycoplasma haemosuis [5]. In addition, further porcine HM species or subspecies are suspected but not yet confirmed [6]. In pigs, HM-induced diseases are complex and comprise a variety of clinical signs. Mycoplasma suis and Ca. M. haemosuis can cause acute diseases that are characterized by anemia, icterus, and high fever. All three HM species are known to induce chronic and persistent infections with low-grade anemia or subclinical courses, effects on growth rates as well as on fattening and reproduction performance [5,7,8,9,10,11,12,13]. Of all three porcine HM species, M. parvum is considered the least pathogenic species. Only a few studies concerning M. parvum have been published so far [14,15], including the experimental infection of one pig to provide bacteria for sequencing purposes [16]. However, the long-term effects of chronic and subclinical infections with M. parvum have not been studied so far. It therefore remains undetermined whether immune-mediating effects are induced in the host during M. parvum infection, as is known for M. suis [17]. Very little is also known about the prevalence of M. parvum. The reason for this is that there are no M. parvum specific PCR assays available so far. Evidence about the occurrence of M. parvum is obtained from studies investigating all porcine HM species using cross-species PCR assays [5,6,18]. As HMs cannot yet be cultivated in vitro, in the last two decades, specific molecular detection methods for HMs have proven to be the basic prerequisite to obtain insights into the epidemiology, species, and strain differentiation, as well as into the clinical impact of HM infections [9,19,20,21,22,23]. The present study first aimed to develop a specific real-time PCR assay for the quantitative diagnostic of M. parvum in pigs. In a second step, this novel qPCR assay was applied to blood samples of domestic pigs from different herds and age groups, i.e., fattening pigs, sows, and boars, to investigate the circulation of M. parvum in Germany for the first time ever since the first description of M. parvum in 1950 [4]. Furthermore, the genetic diversity of M. parvum was compared among seven appropriate isolates by 16S rDNA phylogeny.

2. Materials and Methods

2.1. Blood Samples and DNA Preparation

EDTA-anticoagulated blood samples were collected from fattening pigs, sows, and boars from southern Germany (federal states of Baden-Wuerttemberg and Bavaria). Figure 1 illustrates the sampled area of Germany shaded in grey.
Blood samples of the sows (n = 60) were collected by the punctuation of the jugular vein. Sows (gilts as well as different parity) originated from a total of three piglet-producing farms with 20 sows per farm sampled. For the group of fattening pigs and boars, DNA extracts from EDTA-anticoagulated blood were available from previous studies [9,24]. Briefly, a total of 200 fattening pigs from 20 farms (10 animals per farm) were sampled at the time of slaughter [9], and 183 boars, housed for artificial insemination in a boar stud and originating from a total of 26 multiplier farms [24], were sampled by punctuation of the jugular vein. The boars were aged between 9 and 77 months. The number of sampled boars per multiplier farm ranged from 1 to 42. None of the animals showed any clinical signs. The fattening and multiplier farms had an unknown HM history and were chosen randomly. As sows were sampled during regular on-farm health monitoring, no ethical approval was needed according to the German Animal Welfare Law. Similarly, sampling of the fattening pigs did not require ethical approval according to the German Animal Welfare Law and the Directive 2010/63/EU, as blood collection was performed after slaughtering [9]. The sampling of the boars was approved by the ethical commission of the veterinary faculty of the Ludwig-Maximilians-Universität, Munich (authorization reference number: 245-17-12-2020) [24]. Bacterial DNA was extracted from the EDTA-anticoagulated blood, as described elsewhere [9,25]. Blood as well as DNA samples were stored at −20 °C prior to use. DNA extracts available from previous studies were submitted for a quality analysis using a NanoDropTM 2000 (Thermo Fisher Scientific, Dreieich, Germany) before use.

2.2. 16S rDNA and Amplicon Sequencing

In order to obtain M. parvum positive DNA for the establishment of the M. parvum specific quantitative real-time PCR as well as for phylogenetical analysis, a total of 100 of the DNA samples were randomly chosen for conventional, HM-specific 16S rDNA using the primers described by Volokhov and coworkers [26]. The 25 µL PCR reaction mixture contained 12.5 µL of Maxima Hot Start Taq DNA-Polymerase (Thermo Fisher ScientificTM), 10.5 µL of primer–water mixture (containing 0.5 µmol of the primer UNI_16S_mycF and 0.5 µmol of the primer UNI_16S_mycF [26]), and 2.0 µL of template DNA. Cycling conditions consisted of 95 °C for 3 min and 30 cycles at 95 °C for 15 s and 57 °C for 1 min. The PCR was directly analyzed after the run by means of agarose gel electrophoresis. Mycoplasma parvum positive DNA samples were then analyzed with M. suis and Ca. M. haemosuis specific real-time PCR (see Section 2.4) to exclude M. suis and sequences within the 16S rDNA amplicons. Afterward, seven 16S rDNA PCR amplicons from M. suis and Ca. M. haemosuis negative animals were selected for Sanger sequencing (Seqlab Sequence Laboratories, Göttingen, Germany). Obtained sequences were compared to GenBank entries using the NCBI BLAST tool [27].

2.3. Phylogenetic Analysis

The 16S rDNA amplicons of M. parvum (n = 7) as well as 16S rDNA amplicons (M. parvum and other HM species) were used for a phylogenetic analysis. Table 1 gives an overview of all sequences included in the study.
The 16S rDNA sequences were aligned with the multiple sequence alignment tool of ClustalW in MEGA X [28], and phylogenetic analysis was performed using the neighbor-joining method with a 1000 bootstrap value in MEGA 11 Software [28,29].

2.4. M. suis and Ca. M. haemosuis qPCR

The M. suis status was defined by a specific qPCR targeting the MSG1 gene of M. suis, as described elsewhere [25,30]. Likewise, the recently described Ca. M. haemosuis qPCR targeting the Ca. M. haemosuis gap gene was used for the determination of the Ca. M. haemosuis status. While both the M. suis and Ca. M. haemosuis status of the fattening pigs and boars was ascertained in previous studies [9,24], qPCR of the sows was performed in the present study.

2.5. Primer Design

The following primers targeting the gap gene of M. parvum were designed with Primer 3 software [31,32]. MPaF`- 5′-ATGCTGGCGCTCCTAAAGTT-3′ and MPaR´- 5′-CTGCTGCAGCTCTAGCTCTT-3′. gap encodes the glyceraldehyde-3-phosphate dehydrogenase (GAPDH) of M. parvum (accession no. NC_022575.1). Test specificity was analyzed in silico by using an NCBI-provided BLAST algorithm as well as by sequencing (Seqlab Sequence Laboratories, Göttingen, Germany) of the resulting 276 bp gap PCR fragment of M. parvum. Sequences were compared to GenBank entries using the BLAST tool provided by NCBI.

2.6. Cloning of the qPCR Fragment (qPCR-Positive Control)

Escherichia coli transformants (pC_Parvum) containing the 276 bp qPCR gap fragment of M. parvum were produced by cloning the amplicon into the plasmid vector pCR2.1 (Invitrogen) according to the manufacturer’s instructions. Plasmid DNA was extracted and purified from the E. coli transformants (pC_Parvum) with the GenEluteTM Plasmid Miniprep Kit (Sigma-Aldrich, Taufkirchen, Germany) and obtained plasmid DNA was quantified afterward by means of spectrophotometry (NanoDropTM 2000, Thermo Fisher Scientific). With a plasmid size of 4.106 kb concentrations, genome equivalents (GE) of M. parvum were calculated, and DNA concentrations were adjusted to 45 pg/2 µL representing 1 × 107 GE (http://cels.uri.edu/gsc/cndna.html accessed on 13 November 2022).

2.7. Quantitative Real-Time PCR

The 20 µL reaction mixture containing 10 µL of the 2x SYBR® Green PCR Master Mix (Thermo Fisher Scientific), 8 µL of primer mixture (containing 0.5 µM primer each), and 2 µL of template DNA was applied to the StepOne System (Applied Biosystems) for the detection of M. parvum DNA. Cycling conditions consisted of 95 °C for 5 min, 40 cycles at 95 °C for 15 s, and 60 °C for 1 min, followed by a melting curve analysis. Quantification was performed by the inclusion of plasmid pC_Parvum DNA standard dilutions (450 fg/2 µL, 45 fg/2 µL, and 4.5 fg/2 µL) representing 105, 104, and 103 GE per reaction run, respectively. PCR results were analyzed using StepOne™ Software Version 2.2 (Applied Biosystems, Dreieich, Germany) and Microsoft® Excel, 2016.
For the determination of the analytical specificity of the novel qPCR assay, DNA from the porcine HM species M. suis, Ca. M. haemosuis, other hemotrophic and nonhemotrophic Mycoplasma spp. (i.e., M. wenyonii, Ca. M. haemobos, M. haemofelis, M. bovis, and M. bovoculi), and the following panel of other porcine pathogens was used as template DNA: Escherichia coli (n = 2), Salmonella Typhimurium (n = 2), Staphylococcus aureus, Pasteurella multocida, and Streptococcus suis. DNA isolation and/or cultivation of the bacteria was performed as previously described [9,25,30,33]. DNA was adjusted to 105 bacteria/ reaction.
Ten-fold dilutions from 107 to 1 GE/reaction out of the pC_Parvum plasmid DNA were analyzed by qPCR to determine the lower limit of detection (LOD).

2.8. Intra- and Interassay Repeatability

The intra-assay repeatability was determined by analyzing four replicates of the plasmid dilutions (107 to 1 GE/reaction) in the same run. The interassay variability was determined by running quadruples of the same plasmid dilution in five different runs on four consecutive days.

3. Results

3.1. Identification of Mycoplasma parvum Positive Samples

Porcine blood samples (n = 100) were analyzed by an HM-specific conventional 16S rDNA PCR, and M. suis and Ca. M. haemosuis specific real-time PCR. Seven randomly chosen HM-specific 16S rDNA amplicons derived from M. suis and Ca. M. haemosuis negative pigs were analyzed after Sanger sequencing with the BLAST algorithm. All amplicons showed 99.8–100.0% identity to other GenBank entries for M. parvum 16S rDNA genes and could therefore be used as positive controls for the novel M. parvum specific real-time PCR. Sequences were uploaded to the GenBank (accession numbers ON703815–ON703821).

3.2. Development of a M. parvum-Specific Quantitative Real-Time PCR

We developed a quantitative SYBR® green real-time PCR as a diagnostic tool for the detection of Mycoplasma parvum in the blood of infected pigs. For this purpose, primers targeting the GAPDH of M. parvum were chosen. The novel real-time qPCR assay successfully amplified each of the seven M. parvum DNA samples. The specificity of the qPCR was proven because no cross-reactivity was observed with DNA samples from other HM species and nonhemotrophic mycoplasma species or from other porcine bacterial pathogens.
Melting curve analyses revealed a M. parvum specific melting temperature of 74.177 °C (±0.135 °C). Ten-fold serial dilutions of the plasmid pC_Mparvum from 45 pg to 45 ag (corresponding to 107 to 101 genome equivalents) per reaction were used to determine the analytical sensitivity of the qPCR assay. All different concentrations in the standard dilutions from 107 to 101 GE were consistently detected by the qPCR assay. The highest dilution yielding consistently positive qPCR results contained 0.45 fg pC_Mparvum DNA per reaction corresponding to 10 GE per reaction. The lower limit of detection of the qPCR was thus 10 gap copies per reaction and 2.5 × 103 GE per mL blood.
The intra- and interassay repeatability is shown in Table 2.

3.3. Hemotrophic mycoplasma Infection in Fattening Pigs, Sows, and Boars

Using the herein established, novel established, M. parvum-specific qPCR assay, M. parvum could be detected in the blood of each sampled age group of fattening pigs, sows, and boars. Regarding the fattening pigs, 72 out of 200 pigs were positive for M. parvum, whereas 38 and 35 out of the 200 were positive for M. suis and Ca. M. haemosuis, respectively. M. parvum was present in the blood of 15 out of the 60 sampled sows. M. suis and Ca. M. haemosuis were detected in 4 and 13 sows, respectively. A total of 8 out of the 183 boars were positive for M. parvum in qPCR, whereas the other two HM species could not be detected in any blood sample of this age group. Co-infections with three HM species were detected in fattening pigs, co-infections with two HM species were detected in fattening pigs as well as in sows.
Average bacterial blood-loads equaled 9.34 × 106 M. parvum/mL blood, 7.62 × 107 M. suis/mL blood and 1.61 × 105 Ca. M. haemosuis/mL blood in fattening pigs; 1.18 × 106 M. parvum/mL blood, 3.58 × 104 M. suis/mL blood and 4.83 × 105 Ca. M. haemosuis/mL blood in sows; and 1.12 × 105 M. parvum/mL blood in boars.
Table 3 gives a detailed overview of the HM status of all investigated samples.

3.4. Mycoplasma parvum Phylogeny

Seven 16S rDNA M. parvum amplicons derived from samples in the present study were used for phylogenetic analyses. Those seven amplicons were randomly chosen from seven different herds without any known contact with each other. Furthermore, the 16S rDNA sequences of M. parvum, M. suis, Ca. M. haemosuis, M. wenyonii, M. ovis, M. coccoides, M. haemofelis, and Ca. M. haemominutum were obtained from GenBank and are included in the dendrogram. The neighbor-joining method with a 1000 bootstrap value was chosen. The dendrogram is shown in Figure 2.
The obtained M. parvum isolates clustered within the “hemominutum” group of the HM species in close relation to M. suis. Among the novel German M. parvum isolates (accession numbers ON703815–ON703821), two subclusters (orange and yellow highlighted clades) could be distinguished. The M. parvum isolate obtained in Brazil (accession number MK287838.1) could be assigned to a further cluster (blue highlighted clade) within all the M. parvum isolates.

4. Discussion

The study herein described the occurrence of Mycoplasma parvum in fattening pigs, sows, and boars in Germany, for which a novel quantitative real-time PCR was successfully established.
Mycoplasma parvum is a long-known but rarely described and investigated porcine HM species. To the best of our knowledge, the novel qPCR assay is the first quantitative and specific assay detecting M. parvum in pigs. We used this specific qPCR assay to quantitatively detect M. parvum in the blood samples of fattening pigs, sows, and boars from southern Germany. So far, the few descriptions of M. parvum reported were based on 16S rDNA PCR or microscopy [5,14,15,16]. Our established qPCR assay specifically targets the gap gene of M. parvum, which encodes the GAPDH of M. parvum. Glyceraldehyde-3-phosphate dehydrogenase encoding genes have successfully been used as target genes in diagnostics of HMs before, such as for the identification of M. suis, Ca. M. haemosuis, M. wenyonii, and Ca. M. haemobos [9,30,33]. Often, the 16S rDNA gene is chosen as the PCR target gene because it is considered highly conserved within bacterial species. However, in the case of the porcine HM species, the 16S rRNA gene is not well suited due to the low differentiation potential, as the 16S rDNA genes of M. suis and M. parvum show nearly 96% identity among each other [16]. In contrast, the GAPDH-encoding genes of M. suis and M. parvum have only 76% identity. Therefore, we decided to use the gap gene as a PCR target, which is also a housekeeping gene and known to be highly conserved within bacterial species but significantly different between M. parvum and M. suis. The successful target selection was also reflected in the determination of the analytical specificity. Analytical specificity was first predicted through in silico analysis and verified afterward by negative qPCR results with DNA of other Mycoplasma species and further porcine bacterial pathogens.
In the few previous studies dealing with M. parvum, a quantification of bacterial blood loads was not performed. Within the herein described novel M. parvum qPCR assay, quantification with a sensitivity of 10 genome equivalents per PCR, corresponding to 2.5 × 103 bacteria per mL blood, is possible. This is in line with similar qPCR assays of other HM species such as M. suis, Ca. M. haemosuis, M. wenyonii, Ca. M. haemobos, M. haemocanis, and Ca. M. haematoparvum [9,30,33,34], and displays a high analytical sensitivity. Therefore, we assume that our novel qPCR assay allows the identification of asymptomatic infected carrier animals. This was evidenced by the application of the qPCR for the successful detection of M. parvum in fattening pigs, sows, and boars. To the best of our knowledge, this was the first survey for a European sample panel within different age groups and 443 tested pigs in total. M. parvum was present in each of the sampled age groups, i.e., in fattening pigs, sows, and boars. Interestingly, the M. parvum infection rate was significantly higher in fattening pigs and sows with 36.0% and 25.0% of M. parvum positive animals, respectively, compared with boars, with a total of 4.37% M. parvum positive animals.
There could have been many reasons for the variation in the infection rates among the different age groups and could especially include potentially higher biosecurity levels in boar studs, as well as individually housed animals and the absence of group vaccinations in boar studs compared with fattening and piglet-producing farms. Furthermore, the higher HM rates in sows compared with boars could be owing to the known general changes and depression of the immune system during pregnancy [35,36,37]. The occurrence of M. parvum in German fattening pigs and sows in the present study was lower compared with that in Brazil, with 79.7% positive sows [38], and lower than in China, with 50.0% M. parvum positive pigs (feeder pigs and sows) [5]. On the contrary, studies in Japan and South Korea revealed lower M. parvum prevalence, with 15.0% (feeder pigs and sows) and 2.7% positive pigs (various age groups), respectively [7,39]. For boars, however, there are no comparable studies dealing with the prevalence of M. parvum in this age group. Comparing the detection rates of the different HM species within the sampled animals, M. parvum was more frequent in each of the age groups than M. suis and Ca. M. haemosuis. A higher prevalence of M. parvum compared with M. suis in the same animals was also reported by Seo and coworkers in South Korea [7] and by Gatto and coworkers in Brazil [38].
Coinfections with two or three HM species are a commonly observed issue and have been previously described in pigs, for example, in China, with coinfections of M. suis/M. parvum and the novel Ca. M. haemosuis [5], as well as in Germany with M. suis and Ca. M. haemosuis [9]. This phenomenon has further been described in other species such as sheep [40], goats [41], cattle [22,33], dogs [42], and cats [43,44].
Despite the long history of M. parvum, knowledge of its pathogenicity, and especially its impact on the immune system, is rather limited. So far, two studies conducted 60–70 years ago reported clinical signs similar to M. suis induced IAP within experimental M. parvum infection [14,15]. From today’s point of view, M. parvum seems primarily apathogenic to pigs due to the lack of major clinical field cases and the lack of clinical signs in a current experimental infection study conducted in one splenectomized pig [16]. On the contrary, M. parvum was related to the loss of performance in subclinical infected pigs in Brazil [10]. In the present study, M. parvum was also frequently detected in clinically healthy animals in various age groups in Germany. Chronical and subclinical infections have extensively been described in pigs with M. suis [25,45,46] and Ca. M. haemosuis [5,7,9,24]. For M. suis, it is known that such infections are related to various silent influences, especially those related to dysregulation of the immune system, a higher susceptibility to other infections, and impacts on reproductive performance (e.g., increased stillbirth rates) [17,25,45,46,47]. Thus, such subclinical M. suis infections are of major economic importance to the porcine industry. Whether M. parvum is also capable of causing such effects in the course of subclinical infections has not yet been investigated. In the context of the widely observed subclinical infections of M. parvum found in the present study, this should be a research topic to be investigated in the future. Our herein developed novel M. parvum specific qPCR assay was proven to be a suitable and reliable diagnostic tool to implement in future studies.

5. Conclusions

In this study, a quantitative real-time PCR assay was established for the diagnosis of M. parvum in blood samples of pigs. Applying this PCR assay to blood samples of different-aged German pigs, M. parvum could successfully be detected in 36.0% (n = 72) of fattening pigs, in 25.0% (n = 15) of sows, and in 4.27% (n = 8) of boars. Both data on the occurrence of M. parvum in Germany as well as the novel qPCR are a profound basis for the further studies required to evaluate the medical and economic significance of M. parvum in pigs.

Author Contributions

Conceptualization and validation: J.A., K.H. and L.E.H., methodology and software: J.A. and K.H., resources (samples) and data curation: J.S. and M.R., writing: J.A., K.H. and J.S.; review and editing: L.E.H. and M.R. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

The animal study protocol (sampling of the boars) was approved by the ethical commission of the veterinary faculty of the Ludwig-Maximilians-Universität, Munich (authorization reference number: 245-17-12-2020). Ethical review and approval were waived for the sampling of the sows and for the fattening pigs. As sows were sampled during regular on-farm health monitoring, no ethical approval was needed according to the German Animal Welfare Law. Similarly, sampling of the fattening pigs did not require ethical approval according to the German Animal Welfare Law and the Directive 2010/63/EU, as blood collection was performed after slaughtering.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Acknowledgments

The authors wish to thank the colleagues from the Clinic for Swine who assisted at sample collection. The authors are grateful to the farmers who contributed to this study. The authors want to thank Anna-Caroline Wöhr, Animal Welfare Officer of the Faculty of Veterinary Medicine, for professional support concerning ethical issues.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Messick, J.B. Hemotrophic mycoplasmas (hemoplasmas): A review and new insights into pathogenic potential. Vet. Clin. Pathol. 2004, 33, 2–13. [Google Scholar] [CrossRef] [PubMed]
  2. Hattori, N.; Kuroda, M.; Katano, H.; Takuma, T.; Ito, T.; Arai, N.; Yanai, R.; Sekizuka, T.; Ishii, S.; Miura, Y.; et al. Candidatus Mycoplasma haemohominis in Human, Japan. Emerg. Infect. Dis. 2020, 26, 11–19. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  3. Hoelzle, L.E. Haemotrophic mycoplasmas: Recent advances in Mycoplasma suis. Vet. Microbiol. 2008, 130, 215–226. [Google Scholar] [CrossRef] [PubMed]
  4. Splitter, E.J. Eperythrozoon suis n. sp. and Eperythrozoon parvum n. sp., 2 new blood parasites of swine. Science 1950, 111, 513–514. [Google Scholar] [CrossRef] [PubMed]
  5. Fu, Y.; Shi, T.; Xu, L.; Wei, W.; Lu, F.; Zhang, X.; Yuan, X.; Li, J.; Lv, J.; Fang, W. Identification of a novel Hemoplasma species from pigs in Zhejiang province, China. J. Vet. Med. Sci. 2017, 79, 864–870. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  6. Thongmeesee, K.; Kamkong, P.; Thanee, S.; Wattanapansak, S.; Kaewthamasorn, M.; Tiawsirisup, S. Molecular detection and genetic analysis of porcine haemoplasmas in commercial pig farms from Thailand reveal a putative novel species. Transbound. Emerg. Dis. 2022, 69, e2028–e2040. [Google Scholar] [CrossRef] [PubMed]
  7. Seo, M.G.; Kwon, O.D.; Kwak, D. Prevalence and phylogenetic analysis of hemoplasma species in domestic pigs in Korea. Parasites Vectors 2019, 12, 378. [Google Scholar] [CrossRef] [Green Version]
  8. Stadler, J.; Ade, J.; Ritzmann, M.; Hoelzle, K.; Hoelzle, L.E. Detection of a novel haemoplasma species in fattening pigs with skin alterations, fever and anaemia. Vet. Rec. 2020, 187, 66. [Google Scholar] [CrossRef]
  9. Ade, J.; Stadler, J.; Ritzmann, M.; Zübert, C.; Hoelzle, K.; Hoelzle, L.E. Occurrence of ‘Candidatus Mycoplasma haemosuis’ in fattening pigs, sows and piglets in Germany using a novel gap-based quantitative real-time PCR assay. BMC Vet. Res. 2022, 18, 40. [Google Scholar] [CrossRef]
  10. Petri, F.A.M.; Sonalio, K.; de Souza Almeida, H.M.; Ferraz, M.E.S.; Storino, G.Y.; de Souza, M.R.; André, M.R.; de Oliveira, L.G. Porcine hemothropic mycoplasmas infection associated with productive impact in intensive pig production. Porcine Health Manag. 2020, 6, 33. [Google Scholar] [CrossRef]
  11. Stadler, J.; Jannasch, C.; Mack, S.L.; Dietz, S.; Zöls, S.; Ritzmann, M.; Hoelzle, K.; Hoelzle, L.E. Clinical and haematological characterisation of Mycoplasma suis infections in splenectomised and non-splenectomised pigs. Vet. Microbiol. 2014, 172, 294–300. [Google Scholar] [CrossRef] [PubMed]
  12. Stadler, J.; Ade, J.; Hermanns, W.; Ritzmann, M.; Wentzel, S.; Hoelzle, K.; Hoelzle, L.E. Clinical, haematological and pathomorphological findings in Mycoplasma suis infected pigs. BMC Vet. Res. 2021, 17, 214. [Google Scholar] [CrossRef] [PubMed]
  13. Henry, S.C. Clinical observations on eperythrozoonosis. J. Am. Vet. Med. Assoc. 1979, 174, 601–603. [Google Scholar]
  14. Seamer, J. Studies with Eperythrozoon parvum Splitter, 1950. Parasitology 1960, 50, 67–80. [Google Scholar] [CrossRef] [PubMed]
  15. Barnett, S.F. Eperythrozoon parvum in pigs in Kenya. Bull. Epizoot. Dis. Afr. 1963, 11, 185–195. [Google Scholar] [PubMed]
  16. Do Nascimento, N.C.; dos Santos, A.P.; Chu, Y.; Guimaraes, A.M.; Baird, A.N.; Weil, A.B.; Messick, J.B. Microscopy and genomic analysis of Mycoplasma parvum strain Indiana. Vet. Res. 2014, 45, 86. [Google Scholar] [CrossRef] [Green Version]
  17. Do Nascimento, N.C.; Guimaraes, A.M.S.; Dos Santos, A.P.; Chu, Y.; Marques, L.M.; Messick, J.B. RNA-Seq based transcriptome of whole blood from immunocompetent pigs (Sus scrofa) experimentally infected with Mycoplasma suis strain Illinois. Vet. Res. 2018, 49, 49. [Google Scholar] [CrossRef] [Green Version]
  18. Sonalio, K.; Perles, L.; Gatto, I.R.H.; do Amaral, R.B.; Almeida, H.M.S.; Galdeano, J.V.B.; Vieira, R.F.C.; André, M.R.; de Oliveira, L.G. Genetic diversity of emerging hemotropic mycoplasmas in domestic pigs from Brazil. Transbound. Emerg. Dis. 2021, 68, 1162–1174. [Google Scholar] [CrossRef]
  19. Tasker, S.; Helps, C.R.; Day, M.J.; Gruffydd-Jones, T.J.; Harbour, D.A. Use of real-time PCR to detect and quantify Mycoplasma haemofelis and “Candidatus Mycoplasma haemominutum” DNA. J. Clin. Microbiol. 2003, 41, 439–441. [Google Scholar] [CrossRef] [Green Version]
  20. Willi, B.; Boretti, F.S.; Cattori, V.; Tasker, S.; Meli, M.L.; Reusch, C.; Lutz, H.; Hofmann-Lehmann, R. Identification, molecular characterization, and experimental transmission of a new hemoplasma isolate from a cat with hemolytic anemia in Switzerland. J. Clin. Microbiol. 2005, 43, 2581–2585. [Google Scholar] [CrossRef] [Green Version]
  21. Meli, M.L.; Kaufmann, C.; Zanolari, P.; Robert, N.; Willi, B.; Lutz, H.; Hofmann-Lehmann, R. Development and application of a real-time TaqMan(®) qPCR assay for detection and quantification of ‘Candidatus Mycoplasma haemolamae’ in South American camelids. Vet. Microbiol. 2010, 146, 290–294. [Google Scholar] [CrossRef] [PubMed]
  22. Meli, M.L.; Willi, B.; Dreher, U.M.; Cattori, V.; Knubben-Schweizer, G.; Nuss, K.; Braun, U.; Lutz, H.; Hofmann-Lehmann, R. 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, 3563–3568. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  23. Guimaraes, A.M.; Vieira, R.F.; Poletto, R.; Vemulapalli, R.; Santos, A.P.; de Moraes, W.; Cubas, Z.S.; Santos, L.C.; Marchant-Forde, J.N.; Timenetsky, J.; et al. A quantitative TaqMan PCR assay for the detection of Mycoplasma suis. J. Appl. Microbiol. 2011, 111, 417–425. [Google Scholar] [CrossRef] [PubMed]
  24. Ade, J.; Ritzmann, M.; Wöstmann, C.; Eddicks, M.; Reese, S.; Hoelzle, K.; Hoelzle, L.E.; Stadler, J. Update on shedding and transmission routes of porcine haemotrophic mycoplasmas in naturally and experimentally infected pigs. Porcine Health Manag. 2021, 7, 49. [Google Scholar] [CrossRef]
  25. Stadler, J.; Willi, S.; Ritzmann, M.; Eddicks, M.; Ade, J.; Hoelzle, K.; Hoelzle, L.E. Detection of Mycoplasma suis in pre-suckling piglets indicates a vertical transmission. BMC Vet. Res. 2019, 15, 252. [Google Scholar] [CrossRef]
  26. Volokhov, D.V.; Norris, T.; Rios, C.; Davidson, M.K.; Messick, J.B.; Gulland, F.M.; Chizhikov, V.E. Novel hemotrophic mycoplasma identified in naturally infected California sea lions (Zalophus californianus). Vet. Microbiol. 2011, 149, 262–268. [Google Scholar] [CrossRef]
  27. Altschul, S.F.; Gish, W.; Miller, W.; Myers, E.W.; Lipman, D.J. Basic local alignment search tool. J. Mol. Biol. 1990, 215, 403–410. [Google Scholar] [CrossRef]
  28. Thompson, J.D.; Higgins, D.G.; Gibson, T.J. CLUSTAL W: Improving the sensitivity of progressive multiple sequence alignment through sequence weighting, position-specific gap penalties and weight matrix choice. Nucleic Acids Res. 1994, 22, 4673–4680. [Google Scholar] [CrossRef] [Green Version]
  29. Tamura, K.; Stecher, G.; Kumar, S. MEGA11: Molecular Evolutionary Genetics Analysis Version 11. Mol. Biol. Evol. 2021, 38, 3022–3027. [Google Scholar] [CrossRef]
  30. Hoelzle, L.E.; Helbling, M.; Hoelzle, K.; Ritzmann, M.; Heinritzi, K.; Wittenbrink, M.M. First LightCycler real-time PCR assay for the quantitative detection of Mycoplasma suis in clinical samples. J. Microbiol. Methods 2007, 70, 346–354. [Google Scholar] [CrossRef]
  31. Koressaar, T.; Remm, M. Enhancements and modifications of primer design program Primer3. Bioinformatics 2007, 23, 1289–1291. [Google Scholar] [CrossRef] [PubMed]
  32. Untergasser, A.; Cutcutache, I.; Koressaar, T.; Ye, J.; Faircloth, B.C.; Remm, M.; Rozen, S.G. Primer3—New capabilities and interfaces. Nucleic Acids Res. 2012, 40, e115. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  33. Ade, J.; Niethammer, F.; Schade, B.; Schilling, T.; Hoelzle, K.; Hoelzle, L.E. 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. [Google Scholar] [CrossRef] [PubMed]
  34. Barker, E.N.; Tasker, S.; Day, M.J.; Warman, S.M.; Woolley, K.; Birtles, R.; Georges, K.C.; Ezeokoli, C.D.; Newaj-Fyzul, A.; Campbell, M.D.; et al. Development and use of real-time PCR to detect and quantify Mycoplasma haemocanis and “Candidatus Mycoplasma haematoparvum” in dogs. Vet. Microbiol. 2010, 140, 167–170. [Google Scholar] [CrossRef] [PubMed]
  35. Elbers, A.R.; Geudeke, M.J.; van Rossem, H.; Kroon, M.C.; Counotte, G.H. Haematology and biochemistry reference values for sows kept under modern management conditions. Vet. Q. 1994, 16, 127–130. [Google Scholar] [CrossRef]
  36. Schollenberger, A.; Degórski, A.; Bielecki, W.; Stempniak, M. Lymphocyte subpopulations in peripheral blood of pregnant sows. Arch. Vet. Pol. 1992, 32, 35–46. [Google Scholar]
  37. Luppi, P. How immune mechanisms are affected by pregnancy. Vaccine 2003, 21, 3352–3357. [Google Scholar] [CrossRef]
  38. Gatto, I.R.H.; Sonálio, K.; Amaral, R.B.D.; Morés, N.; Dalla Costa, O.A.; André, M.R.; de Oliveira, L.G. High frequency and molecular characterization of porcine hemotrophic mycoplasmas in Brazil. Vet. Microbiol. 2019, 231, 33–39. [Google Scholar] [CrossRef]
  39. Watanabe, Y.; Fujihara, M.; Suzuki, J.; Sasaoka, F.; Nagai, K.; Harasawa, R. Prevalence of swine hemoplasmas revealed by real-time PCR using 16S rRNA gene primers. J. Vet. Med. Sci. 2012, 74, 1315–1318. [Google Scholar] [CrossRef] [Green Version]
  40. Tagawa, M.; Takeuchi, T.; Fujisawa, T.; Konno, Y.; Yamamoto, S.; Matsumoto, K.; Yokoyama, N.; Inokuma, H. A clinical case of severe anemia in a sheep coinfected with Mycoplasma ovis and ‘Candidatus Mycoplasma haemovis’ in Hokkaido, Japan. J. Vet. Med. Sci. 2012, 74, 99–102. [Google Scholar] [CrossRef] [Green Version]
  41. Hornok, S.; Hajtós, I.; Meli, M.L.; Farkas, I.; Gönczi, E.; Meili, T.; Hofmann-Lehmann, R. First molecular identification of Mycoplasma ovis and ‘Candidatus M. haemoovis’ from goat, with lack of haemoplasma PCR-positivity in lice. Acta Vet. Hung. 2012, 60, 355–360. [Google Scholar] [CrossRef] [PubMed]
  42. Roblejo-Arias, L.; Díaz-Sánchez, A.A.; Corona-González, B.; Meli, M.L.; Fonseca-Rodríguez, O.; Rodríguez-Mirabal, E.; Marrero-Perera, R.; Vega-Cañizares, E.; Lobo-Rivero, E.; Hofmann-Lehmann, R. First molecular evidence of Mycoplasma haemocanis and ‘Candidatus Mycoplasma haematoparvum’ infections and its association with epidemiological factors in dogs from Cuba. Acta Trop. 2022, 228, 106320. [Google Scholar] [CrossRef] [PubMed]
  43. Martínez-Díaz, V.L.; Silvestre-Ferreira, A.C.; Vilhena, H.; Pastor, J.; Francino, O.; Altet, L. Prevalence and co-infection of haemotropic mycoplasmas in Portuguese cats by real-time polymerase chain reaction. J. Feline Med. Surg. 2013, 15, 879–885. [Google Scholar] [CrossRef] [PubMed]
  44. Duarte, A.; Marques, V.; Correia, J.H.; Neto, I.; Bráz, B.S.; Rodrigues, C.; Martins, T.; Rosado, R.; Ferreira, J.P.; Santos-Reis, M.; et al. Molecular detection of haemotropic Mycoplasma species in urban and rural cats from Portugal. J. Feline Med. Surg. 2015, 17, 516–522. [Google Scholar] [CrossRef] [PubMed]
  45. Ritzmann, M.; Grimm, J.; Heinritzi, K.; Hoelzle, K.; Hoelzle, L.E. Prevalence of Mycoplasma suis in slaughter pigs, with correlation of PCR results to hematological findings. Vet. Microbiol. 2009, 133, 84–91. [Google Scholar] [CrossRef]
  46. Brissonnier, M.; Normand, V.; Lebret, A.; Moalic, P.Y.; Guyomard, A.S.; Bachy, V.; Berton, P.; Auvigne, V.; Bouchet, F.; Boulbria, G. Frequency of infection with Mycoplasma suis in gestating sows using qPCR on ten commercial French herds, and impact of the infection on clinical, haematological and biochemical parameters. Porcine Health Manag. 2020, 6, 13. [Google Scholar] [CrossRef]
  47. Hoelzle, L.E.; Zeder, M.; Felder, K.M.; Hoelzle, K. Pathobiology of Mycoplasma suis. Vet. J. 2014, 202, 20–25. [Google Scholar] [CrossRef]
Figure 1. Sampling areas: the grey-shaded areas show the federal states of Baden-Wuerttemberg and Bavaria (Germany), from which the sampled animals originated.
Figure 1. Sampling areas: the grey-shaded areas show the federal states of Baden-Wuerttemberg and Bavaria (Germany), from which the sampled animals originated.
Pathogens 11 01374 g001
Figure 2. The 16S rDNA phylogenetic analysis of M. parvum isolates obtained in the present study (created with MEGA 11 software).
Figure 2. The 16S rDNA phylogenetic analysis of M. parvum isolates obtained in the present study (created with MEGA 11 software).
Pathogens 11 01374 g002
Table 1. Sequences of the different HM species included in the phylogenetic analysis.
Table 1. Sequences of the different HM species included in the phylogenetic analysis.
HM Species and Name in the Phylogenetic TreeAcc. Number (Version)Host SpeciesCountry of Origin
Mycoplasma parvum
M. parvum ON703815 *ON703815.1pigGermany
M. parvum ON703816 *ON703816.1pigGermany
M. parvum ON703817 *ON703817.1pigGermany
M. parvum ON703818 *ON703818.1pigGermany
M. parvum ON703819 *ON703819.1pigGermany
M. parvum ON703820 *ON703820.1pigGermany
M. parvum ON703821 *ON703821.1pigGermany
M. parvum MK287838MK287838.1pigBrazil
M. suis FN391022FN391022.1pigGermany
Ca. M. haemosuis JX489601JX489601.1pigChina
M. wenyonii FN392885FN392885.1cattleGermany
M. ovis MH379798MH379798.1sheepBrazil
M. coccoides AY171918.1AY171918.1mouseUSA
M. haemofelis U88563U88563.2catUSA
Ca. M. haemominutum AY150979AY150979.1catSouth Africa
* Sequences acquired in this study (highlighted in grey).
Table 2. Intra- and interassay repeatability values of the novel established qPCR.
Table 2. Intra- and interassay repeatability values of the novel established qPCR.
Intra-Assay RepeatabilityInterassay Repeatability
Plasmid Copy NumberMean CT (±SD) *Mean CT (±SD)
10715.23 (±0.44)15.02 (±0.92)
10619.01 (±0.27)18.94 (±0.92)
10522.78 (±0.11)21.92 (±0.94)
10426.20 (±0.15)25.25 (±0.96)
10329.93 (±0.07)29.28 (±0.75)
10232.81 (±0.73)31.89 (±0.99)
10135.92 (±0.81)35.51 (±0.54)
* Mean threshold cycle values and standard deviations.
Table 3. An overview of the quantitative detection of HMs in sampled fattening pigs, sows, and boars.
Table 3. An overview of the quantitative detection of HMs in sampled fattening pigs, sows, and boars.
Fattening Pigs
M. parvum1M. suis2Ca. M. haemosuis 2
qPCR positive pigs (total) 72/200 (36.00%)38/200 (19.00%)35/200 (17.50%)
bacterial blood-loads (per mL blood)Average:9.34 × 1067.62 × 1071.61 × 105
Range:3.41 × 103–4.82 × 1089.58 × 102–1.14 × 1095.52 × 103–1.55 × 106
Co-infections
M. parvum+M. suis17/200 (8.50%)
M. parvum+Ca. M. haemosuis19/200 (9.50%)
M. suis+Ca. M. haemosuis12/200 (6.00%)
all species (triple infection)5/200 (2.50%)
Sows
M. parvum1M. suis1Ca. M. haemosuis 1
qPCR positive pigs (total) 15/60 (25.00%)4/60 (6.67%)13/60 (21.67%)
bacterial blood-loads (per mL blood)Average:1.18 × 1063.58 × 1044.83 × 105
Range:5.48 × 103–1.53 × 1075.66 × 103–5.49 × 1042.39 × 103–3.56 × 106
Co-infections
M. parvum+M. suis0/60 (0.00%)
M. parvum+Ca. M. haemosuis3/60 (5.00%)
M. suis+Ca. M. haemosuis1/60 (1.66%)
all species (triple infection)0/60 (0.00%)
Boars
M. parvum1M. suis3Ca. M. haemosuis 3
qPCR positive pigs (total) 8/183 (4.37%)0/183 (0.00%)0/183 (0.00%)
bacterial blood-loads (per mL blood)Average:1.12 × 105//
Range:6.23 × 103–6.26 × 106//
Co-infections
M. parvum+M. suis0/183 (0.00%)
M. parvum+Ca. M. haemosuis0/183 (0.00%)
M. suis+Ca. M. haemosuis0/183 (0.00%)
all species (triple infection)0/183 (0.00%)
1 determined in the present study; 2 determined in the study of Ade and co-workers (2022) [9]; 3 determined in the study of Ade and co-workers (2021) [24].
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Ade, J.; Hoelzle, K.; Stadler, J.; Ritzmann, M.; Hoelzle, L.E. Occurrence of Mycoplasma parvum in German Pigs of Different Age Groups Using a Novel Quantitative Real-Time PCR Assay. Pathogens 2022, 11, 1374. https://doi.org/10.3390/pathogens11111374

AMA Style

Ade J, Hoelzle K, Stadler J, Ritzmann M, Hoelzle LE. Occurrence of Mycoplasma parvum in German Pigs of Different Age Groups Using a Novel Quantitative Real-Time PCR Assay. Pathogens. 2022; 11(11):1374. https://doi.org/10.3390/pathogens11111374

Chicago/Turabian Style

Ade, Julia, Katharina Hoelzle, Julia Stadler, Mathias Ritzmann, and Ludwig E. Hoelzle. 2022. "Occurrence of Mycoplasma parvum in German Pigs of Different Age Groups Using a Novel Quantitative Real-Time PCR Assay" Pathogens 11, no. 11: 1374. https://doi.org/10.3390/pathogens11111374

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop