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Population genetic analysis and sub-structuring of Theileria parva in the northern and eastern parts of Zambia

TLDR
Population genetic analyses of Theileria parva from Isoka and Petauke districts showed a low level of genotype exchange between the districts, but a high level of genetic diversity within each district population, implying genetic and geographic sub-structuring between the Districts.
Abstract
Theileriosis, caused by Theileria parva, is an economically important disease in Africa. It is a major constraint to the development of the livestock industry in some parts of eastern, central and southern Africa. In Zambia, theileriosis causes losses of up to 10,000 cattle annually. Cattle blood samples were collected for genetic analysis of Theileria parva from Isoka and Petauke districts in Zambia. Microsatellite analysis was then performed on all Theileria parva positive samples for PCR using a panel of 9 microsatellite markers. Microsatellite data was analyzed using microsatellite toolkit, GenAlEx ver. 6, Fstat ver. 2.9.3.2, and LIAN computer softwares. The combined percentage of positive samples in both districts determined by PCR using the p104 gene primers was 54.9% (95% CI: 46.7 – 63.1%, 78/142), while in each district, it was 44.8% (95% CI: 34.8 – 54.8%) and 76.1% (95% CI = 63.9 – 88.4%) for Isoka and Petauke districts, respectively. We analyzed the population genetic structure of Theileria parva from a total of 61 samples (33 from Isoka and 28 from Petauke) using a panel of 9 microsatellite markers encompassing the 4 chromosomes of Theileria parva. Wright’s F index (FST = 0.178) showed significant differentiation between the Isoka and Petauke populations. Linkage disequilibrium was observed when populations from both districts were treated as a single population. When analyzed separately, linkage disequilibrium was observed in Kanyelele and Kalembe areas in Isoka district, Isoka district overall and in Petauke district. Petauke district had a higher multiplicity of infection than Isoka district. Population genetic analyses of Theileria parva from Isoka and Petauke districts showed a low level of genotype exchange between the districts, but a high level of genetic diversity within each district population, implying genetic and geographic sub-structuring between the districts. The sub-structuring observed, along with the lack of panmixia in the populations, could have been due to low transmission levels at the time of sampling. However, the Isoka population was less diverse than the Petauke population.

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Phylogeny and virulence divergency analyses of Toxoplasma gondii isolates from China

TL;DR: The profile of microsatellite typing data from Chinese T. gondii strains revealed a limited genetic diversity and the selected VFs and phylogenetic network analyses displayed less divergence, although the strain virulence differs in the Chinese 1 type of T. Gondii.
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Studies of trypanosomiasis in the Luangwa valley, north-eastern Zambia

TL;DR: When selecting molecular techniques for AAT surveillance in endemic regions, the KIN-PCR and species-specific PCR may be recommended for screening animal or tsetse fly samples for T. congolense and T. vivax, respectively.
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Tropical Theileriosis and East Coast Fever in Cattle: Present, Past and Future Perspective

TL;DR: A review of the literature was carried out about the prevalence, diagnostic techniques as well as prophylactic measures against the Tropical theileriosis and East coast fever in cattle population as discussed by the authors.
References
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Journal ArticleDOI

genalex 6: genetic analysis in Excel. Population genetic software for teaching and research

TL;DR: Genalex is a user-friendly cross-platform package that runs within Microsoft Excel, enabling population genetic analyses of codominant, haploid and binary data.
Journal ArticleDOI

High resolution of human evolutionary trees with polymorphic microsatellites

TL;DR: It is shown that polymorphic microsatellites (primarily CA repeats) allow trees of human individuals to be constructed that reflect their geographic origin with remarkable accuracy by the analysis of a large number of loci for each individual, in spite of the small variations in allele frequencies existing between populations.
Journal ArticleDOI

How clonal are bacteria

TL;DR: Data from multilocus enzyme electrophoresis of bacterial populations were analyzed using a statistical test designed to detect associations between genes at different loci, and found panmictic, epidemic, and clonal population structures.
Journal ArticleDOI

Toxoplasma gondii Comprises Three Clonal Lineages: Correlation of Parasite Genotype with Human Disease

TL;DR: The population genetic structure of Toxoplasma gondii was determined by multilocus restriction fragment length polymorphism analysis at 6 loci in 106 independent isolates from humans and animals, indicating a highly unusual population structure consisting of 3 widespread clonal lineages.
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