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Molecular detection of Bartonella species and haemoplasmas in wild African buffalo (Syncerus caffer) in Mozambique, Africa

Published online by Cambridge University Press:  18 June 2018

Luiz Ricardo Gonçalves
Affiliation:
Department of Veterinary Pathology, School of Agrarian and Veterinary Sciences (FCAV/UNESP), Jaboticabal, São Paulo, Brazil
Marta Maria Geraldes Teixeira
Affiliation:
Institute of Biomedical Sciences, University of São Paulo (ICB/USP), São Paulo, Brazil
Adriana Carlos Rodrigues
Affiliation:
Institute of Biomedical Sciences, University of São Paulo (ICB/USP), São Paulo, Brazil
Natalia Serra Mendes
Affiliation:
Department of Veterinary Pathology, School of Agrarian and Veterinary Sciences (FCAV/UNESP), Jaboticabal, São Paulo, Brazil
Carlos Antonio Matos
Affiliation:
Department of Veterinary Pathology, School of Agrarian and Veterinary Sciences (FCAV/UNESP), Jaboticabal, São Paulo, Brazil Direction of Animal Science, Maputo, Mozambique
Carlos Lopes Pereira
Affiliation:
Wildlife Conservation Society, Maputo, Mozambique
Rosangela Zacarias Machado
Affiliation:
Department of Veterinary Pathology, School of Agrarian and Veterinary Sciences (FCAV/UNESP), Jaboticabal, São Paulo, Brazil
Marcos Rogério André*
Affiliation:
Department of Veterinary Pathology, School of Agrarian and Veterinary Sciences (FCAV/UNESP), Jaboticabal, São Paulo, Brazil
*
Author for correspondence: Marcos Rogério André, E-mail: marcos_andre@fcav.unesp.br
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Abstract

The African buffalo (Syncerus caffer), a mammal species whose population is declining, can play a role as a reservoir or carrier of a wide number of arthropod-borne pathogens. Translocation procedures have been used as an alternative approach for species conservation. However, the veterinary aspects of this sort of procedures are extremely important to minimize the impact on animal health. In order to detect Bartonella and haemoplasmas, two important group of bacterial that have an impact in both human and animal health, EDTA whole-blood samples were screened for the presence of these bacterial pathogens by molecular techniques. As a result, a molecular occurrence of 4.1 and 15.4% for Bartonella spp. and haemoplasmas, respectively, was reported among 97 wild buffaloes sampled during a translocation procedure from Marromeu to Gorongosa Reserve, Mozambique. Additionally, phylogenetic analyses of the obtained sequences were conducted. At least, three bovine-associated pathogens, namely B. bovis, M. wenyonii and ‘Candidatus M. haemobos’, as well as a probably new Bartonella genotype/species were detected in S. caffer. Further studies are needed in order to determine whether these bacterial species may cause impact in buffaloes and other sympatric ruminant species living in the release site.

Information

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - SA
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike licence (http://creativecommons.org/licenses/by-nc-sa/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the same Creative Commons licence is included and the original work is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use.
Copyright
Copyright © Cambridge University Press 2018
Figure 0

Fig. 1. Map of Mozambique country highlighting the districts where the buffalo were translocated.

Figure 1

Fig. 2. Phylogenetic relationships within the Bartonella genus based on the gltA gene. The tree was inferred by using the maximum likelihood (ML) method with the GTR + G + I model. The sequences detected in the present study are highlighted in bold. The numbers at the nodes correspond to bootstrap values higher than 50% accessed with 1000 replicates. Brucella melitensis was used as an outgroup.

Figure 2

Fig. 3. Phylogenetic relationships within the Bartonella genus based on the ftsZ gene. The tree was inferred by using the maximum likelihood (ML) method with the GTR + G model. The sequences detected in the present study are highlighted in bold. The numbers at the nodes correspond to bootstrap values higher than 50% accessed with 1000 replicates. Brucella melitensis was used as an outgroup.

Figure 3

Fig. 4. Phylogenetic relationships within the Mycoplasma genus based on a fragment of 800 bp of the 16S rRNA gene. The phylogenetic tree was inferred by using the maximum likelihood method with the GTR + G + I model. The sequences detected in the present study are highlighted in bold. The numbers at the nodes correspond to bootstrap values higher than 60% accessed with 1000 replicates. Mycoplasma pneumoniae was used as an outgroup.

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