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Prevalence and molecular identification of Trichinella species isolated from wildlife originating from Limpopo and Mpumalanga provinces of South Africa

Published online by Cambridge University Press:  23 November 2017

S. Mukaratirwa*
Affiliation:
School of Life Sciences, University of KwaZulu-Natal, Westville Campus, Durban 4000, South Africa
L.J. La Grange
Affiliation:
School of Life Sciences, University of KwaZulu-Natal, Westville Campus, Durban 4000, South Africa Mpumalanga, Department of Agriculture, Rural Development, Land and Environmental Affairs, South Africa
M.P. Malatji
Affiliation:
School of Life Sciences, University of KwaZulu-Natal, Westville Campus, Durban 4000, South Africa
B. Reininghaus
Affiliation:
Mpumalanga, Department of Agriculture, Rural Development, Land and Environmental Affairs, South Africa
J. Lamb
Affiliation:
School of Life Sciences, University of KwaZulu-Natal, Westville Campus, Durban 4000, South Africa
*
Author for correspondence: S. Mukaratirwa, E-mail: mukaratirwa@ukzn.ac.za
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Abstract

Trichinella species are widely distributed on all continents with the exception of Antarctica, although the full spectrum of Trichinella species found in sub-Saharan African countries, and their hosts, has not been fully documented. This study was conducted to determine the prevalence of Trichinella in wildlife from the Greater Kruger National Park (GKNP) and adjacent areas located in the Limpopo and Mpumalanga provinces of South Africa, and to identify the species and/or genotypes of Trichinella larvae isolated from muscle tissues, using molecular techniques. A review of Trichinella spp. and their wildlife hosts reported during 1964–2011 was also conducted and the results were compared with our current study. Ninety samples representing 15 mammalian, two bird and three reptile species were screened for Trichinella infection during 2012–2016, using artificial digestion. Isolates detected were identified using a multiplex polymerase chain reaction (PCR) amplification of the internal transcriber spacers ITS1 and ITS2, and expansion segment V (ESV) regions of ribosomal DNA, followed by molecular analysis of the sequences. Twenty samples from seven wildlife species were positive for Trichinella spp. larvae, with an overall prevalence of 21.1% (20/90). The prevalence was higher in carnivores (18.9%, 18/90) than in omnivores (2.2%, 2/90). Analysis of sequences showed that eight of the isolates – two from spotted hyaena (Crocuta crocuta) (2/8), three from lion (Panthera leo) (3/13), one from leopard (Panthera pardus) (1/6), one from small spotted genet (Genetta genetta) (1/2) and one Nile monitor lizard (Varanus niloticus) (1/2) – conformed to Trichinella zimbabwensis. One isolate from a hyaena was grouped under the encapsulated species clade comprising T. nelsoni and genotype Trichinella T8 reported to be present in South Africa. This is the first report confirming natural infection by T. zimbabwensis in hyaena, leopard, genet and Nile monitor lizard, adding to the body of knowledge on the epidemiology of Trichinella infections in the Greater Kruger National Park of South Africa. Ten Trichinella-like larval isolates recovered after digestion from four wildlife species in this study (2012–2016) revealed inconclusive results due to DNA degradation resulting from poor storage or too few larvae for analysis, in comparison to 20 unidentified isolates from five wildlife species during the 1964–2011 period.

Information

Type
Research Paper
Copyright
Copyright © Cambridge University Press 2017 
Figure 0

Table 1. Wild carnivores from the greater Kruger National Park, South Africa, screened for Trichinella spp. larvae and the prevalence of Trichinella spp. in each species for the period 2012–2016 and previous studies (1964–2011).

Figure 1

Table 2. Wild omnivores from the greater Kruger National Park, South Africa, screened for Trichinella spp. larvae and the prevalence of Trichinella spp. in each species for the period 2012–2016 and previous studies (1964–2011).

Figure 2

Table 3. Nucleotide sequences amplified during multiplex PCR with respective forward and reverse oligonucleotide sequences.

Figure 3

Fig. 1. Bayesian inference tree based on 105 nucleotides of the ESV DNA region depicting relationships between experimental samples and sequences downloaded from GenBank (National Center for Biotechnology Information). Nodal support from maximum parsimony and Bayesian analyses is shown in that order.