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Molecular characterization of haemoparasites infecting bats (Microchiroptera) in Cornwall, UK

Published online by Cambridge University Press:  28 June 2005

R. CONCANNON
Affiliation:
Department of Veterinary Pathology, University of Liverpool, Leahurst, Chester High Road, Neston, Cheshire CH64 7TE
K. WYNN-OWEN
Affiliation:
Department of Veterinary Pathology, University of Liverpool, Leahurst, Chester High Road, Neston, Cheshire CH64 7TE
V. R. SIMPSON
Affiliation:
The Wildlife Veterinary Investigation Centre, Jollys Bottom Farm, Chacewater, Truro, Cornwall TR4 8PB
R. J. BIRTLES
Affiliation:
Department of Veterinary Pathology, University of Liverpool, Leahurst, Chester High Road, Neston, Cheshire CH64 7TE
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Abstract

The presence of haemoparasites from the Order Piroplasmida and the genera Bartonella and Trypanosoma was assessed in the blood of 60 bats, belonging to 7 species, inhabiting sites across Cornwall in southwest England. DNA extracted from macerated heart tissue was incorporated into taxon-specific polymerase chain reactions (PCRs) and amplification products were sequenced as a means of identifying, or assigning an identity, to detected haemoparasites. A Piroplasmida species was detected in 6 Pipistrellus spp., whereas Bartonella infections were detected in 5 bats belonging to 4 different species. Trypanosoma dionisii was detected in 1 Pipistrellus spp. Phylogenetic inference from alignment of a partial 18S rRNA-encoding gene sequence of the pipistrelle-associated Piroplasmida species with homologous sequences available for other members of the Order indicated that this organism was unique but specifically related to members of the genus Babesia, a phylogeny that would be in keeping with the organism being Babesia vesperuginis. Alignment of partial citrate synthase gene sequences from the bat-associated bartonellae revealed 5 distinct genotypes that were probably derived from 2 distinct Bartonella species. The study demonstrates the utility of molecular methods for detecting haemoparasites in dead bats and provides, for the first time, tangible identities for bat-associated Babesia and Bartonella species.

Information

Type
Research Article
Copyright
© 2005 Cambridge University Press
Figure 0

Table 1. Details of provenance of bats surveyed and the laboratory results obtained

Figure 1

Fig. 1. Unrooted phylogenetic tree inferred using a maximum likelihood approach from an alignment of 543 bp 18S rRNA-encoding gene fragments obtained from the pipistrelle-associated piroplasm and representatives of previously defined piroplasm lineages and other partially characterized Babesia taxa. Significant bootstrap values are indicated at relevant nodes, with numbers representing the percentage of replicates yielding the branching order depicted in ML derived trees, and * and [dagger] indicating well-supported (>50%) branching orders in parsimony and distance-matrix derived trees respectively. The number given in parentheses refers to the Piroplasmida lineage to which the taxon was assigned by Schnittger and colleagures (2003).

Figure 2

Fig. 2. Unrooted cladogram inferred using a maximum likelihood (ML) approach from an alignment of 298 bp citrate synthase gene fragments obtained from bat-associated bartonellae and representatives of the established Bartonella taxa. Nodes lacking significant bootstrap support (<50%) in ML, parsimony or distance-matrix derived inferences, have been collapsed. At remaining nodes, the numbers represent the percentage of ML-examined bootstrap replicates in which the node appeared, whereas * and [dagger] indicate well-supported (>50%) branching orders in parsimony and distance-matrix derived trees respectively.