Literature DB >> 29885793

Quantitative analysis of Mycoplasma wenyonii and 'Candidatus Mycoplasma haemobos" infections in cattle using novel gapN-based realtime PCR assays.

Julia Ade1, Florian Niethammer2, Benjamin Schade2, Thorben Schilling1, Katharina Hoelzle1, Ludwig E Hoelzle3.   

Abstract

Hemotrophic mycoplasmas (HMs) are associated with anemia and other disease complexes in a wide range of livestock and wild animals. Two bovine HM species have been identified to date, i.e. Mycoplasma wenyonii and 'Candidatus Mycoplasma haemobos'. The study aim was to develop quantitative real-time PCR assays (qPCRs) to detect and quantify M. wenyonii and 'C. M. haemobos' and to apply these assays to DNA samples extracted from bovine blood collected in Germany (n = 220) from 22 herds. The qPCR assays specific for M. wenyonii and 'C. M. haemobos' were designed using the gapN of the respective hemoplasma species as gene target which encodes the NADP-dependent glyceraldehyde 3-phosphate dehydrogenases (GAPN). The sensitivity of both assays was 10 genome equivalents per reaction, corresponding to 2500 genome equivalents per ml blood. No cross-reactivity with non-target bovine HMs. and other bovine pathogens was observed. Bovine HM DNA was detected in 137 samples (62.27%) with 118 samples (53.64%) being positive for 'C.M. haemobos' and 19 samples (8.64%) being positive for M. wenyonii. Thereof, 11 animals (5.00%) were co-infected with both bovine HM species. The found herd prevalence for `C. M. haemobos` was 100.00%, and for M. wenyonii 36.36% with mean bacterial loads of 3.7 × 107 `C. M. haemobos`/mL blood and of 4.29 × 105M. wenyonii/mL blood respectively. Clinical and economic relevance of bovine HM species should be goal of future studies for which the novel gapN qPCR assays can serve as a valuable diagnostic tool.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Hemotrophic mycoplasmas; Mycoplasma wenyonii; Quantitative PCR, diagnosis; ‘Candidatus Mycoplasma haemobos’

Mesh:

Substances:

Year:  2018        PMID: 29885793     DOI: 10.1016/j.vetmic.2018.04.028

Source DB:  PubMed          Journal:  Vet Microbiol        ISSN: 0378-1135            Impact factor:   3.293


  6 in total

1.  Comparison of Light Microscopy and Polymerase Chain Reaction for the Detection of Haemoparasites in Cattle in Nigeria.

Authors:  Anise N Happi; Olawale Osifade; Paul E Oluniyi; Bamidele N Ogunro
Journal:  Acta Parasitol       Date:  2019-09-30       Impact factor: 1.440

2.  Molecular prevalence of bovine hemoplasmosis in Turkey with first detection of Mycoplasma wenyonii and Candidatus Mycoplasma haemobos in cattle and water buffalo.

Authors:  Ufuk Erol; Omer Faruk Sahin; Kursat Altay
Journal:  Vet Res Commun       Date:  2022-05-27       Impact factor: 2.459

3.  Molecular detection of haemophilic pathogens reveals evidence of Candidatus Mycoplasma haemobos in dogs and parasitic ticks in central China.

Authors:  Hongfei Shi; Bozhen Li; Jie Li; Shiwei Chen; Lulu Wang; Zhenzhen Bai; Li Zhu; Baolong Yan; Lunguang Yao
Journal:  BMC Vet Res       Date:  2022-07-01       Impact factor: 2.792

4.  Draft Genome Sequence of Mycoplasma wenyonii, a Second Hemotropic Mycoplasma Species Identified in Mexican Bovine Cattle.

Authors:  Rosa Estela Quiroz-Castañeda; Fernando Martínez-Ocampo; Edgar Dantán-González
Journal:  Microbiol Resour Announc       Date:  2018-09-06

5.  Hemotrophic mycoplasma in Simmental cattle in Bavaria: prevalence, blood parameters, and transplacental transmission of 'Candidatus Mycoplasma haemobos' and Mycoplasma wenyonii.

Authors:  Florian Martin Niethammer; Julia Ade; Ludwig Eduard Hoelzle; Benjamin Schade
Journal:  Acta Vet Scand       Date:  2018-11-16       Impact factor: 1.695

6.  Occurrence of 'Candidatus Mycoplasma haemosuis' in fattening pigs, sows and piglets in Germany using a novel gap-based quantitative real-time PCR assay.

Authors:  Julia Ade; Julia Stadler; Mathias Ritzmann; Christina Zübert; Katharina Hoelzle; Ludwig E Hoelzle
Journal:  BMC Vet Res       Date:  2022-01-17       Impact factor: 2.741

  6 in total

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