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Population genetics of Glossina palpalis palpalis from central African sleeping sickness foci

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TLDR
This first investigation of population genetic structure of G. p.
Abstract
Background: Glossina palpalis palpalis (Diptera: Glossinidae) is widespread in west Africa, and is the main vector of sleeping sickness in Cameroon as well as in the Bas Congo Province of the Democratic Republic of Congo. However, little is known on the structure of its populations. We investigated G. p. palpalis population genetic structure in five sleeping sickness foci (four in Cameroon, one in Democratic Republic of Congo) using eight microsatellite DNA markers. Results: A strong isolation by distance explains most of the population structure observed in our sampling sites of Cameroon and DRC. The populations here are composed of panmictic subpopulations occupying fairly wide zones with a very strong isolation by distance. Effective population sizes are probably between 20 and 300 individuals and if we assume densities between 120 and 2000 individuals per km 2 , dispersal distance between reproducing adults and their parents extends between 60 and 300 meters. Conclusions: This first investigation of population genetic structure of G. p. palpalis in Central Africa has evidenced random mating subpopulations over fairly large areas and is thus at variance with that found in West African populations of G. p. palpalis. This study brings new information on the isolation by distance at a macrogeographic scale which in turn brings useful information on how to organise regional tsetse control. Future investigations should be directed at temporal sampling to have more accurate measures of demographic parameters in order to help vector control decision.

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Revisiting FIS, FST, Wahlund Effects, and Null Alleles.

TL;DR: It is shown that, for organisms collected in a single sample, Wahlund effects and null alleles affect the values of both FIS and FST though in the opposite direction, and a determination key is proposed to interpret data with heterozygote deficits.
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Comparison of different genetic distances to test isolation by distance between populations.

TL;DR: This simulation study analyzes the behavior of different genetic distances in Island and stepping stone models displaying varying neighborhood sizes and shows that the proportion of null allelic states interact with the slope of the regression of FST/(1−FST) as a function of geographic distance.
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Population genetic analysis and sub-structuring of Theileria parva in the northern and eastern parts of Zambia

TL;DR: 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.
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The population structure of Glossina fuscipes fuscipes in the Lake Victoria basin in Uganda: implications for vector control

TL;DR: This study suggests that different control strategies should be implemented for the three PATTEC blocks and that, given the high potential for re-invasion from island sites, mainland and offshore sites in each block should be targeted at the same time.
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Spatial and temporal variations relevant to tsetse control in the Bipindi focus of southern Cameroon

TL;DR: This study shows that the spatial distribution of traps, as well as the temporal climatic variations might influence entomological and parasitological parameters of HAT and that the presence of perennial water sources in biotopes would favour the development of tsetse flies and thus the transmission of sleeping sickness.
References
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Journal ArticleDOI

Genetic Differentiation and Estimation of Gene Flow from F -Statistics Under Isolation by Distance

TL;DR: In this paper, the use of isolation by distance models as a basis for the estimation of demographic parameters from measures of population subdivision was re-examined, and the results for values of F-statistics in one-dimensional models and coalescence times in 2D models were provided.
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The interpretation of population structure by F-statistics with special regard to systems of mating

TL;DR: It was found that there is no equilibrium in either case short of complete fixation locally, in spite of the linear increase in number of different ancestors with increasing number of ancestral generations, in contrast to systems (half first cousin or second cousin) in which this increase is more than linear and a steady state is rapidly attained with respect to heterozygosis.
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HIERFSTAT , a package for R to compute and test hierarchical F -statistics

TL;DR: The package hierfstat for the statistical software r allows the estimate of hierarchical F -statistics from a hierarchy with any numbers of levels, and allows testing the statistical significance of population differentiation for these different levels, using a generalized likelihood-ratio test.
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On the Adaptive Control of the False Discovery Rate in Multiple Testing With Independent Statistics

TL;DR: Benjamini and Hochberg as discussed by the authors presented an adaptive procedure, where the number of true null hypotheses is estimated first as in Hochgraham and Benjamini (1990), and this estimate is used in the procedure of Benjamine and Hohberg (1995).
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Testing differentiation in diploid populations

TL;DR: The power of FST-estimator tests and of allelic goodness offit tests are similar when sampling is balanced, and higher than the power of genotypic goodness of fit tests.
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