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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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Evaluation of the European foundation initiative into African research in neglected tropical diseases by the African fellows.

TL;DR: This paper aims to demonstrate the efforts towards in-situ applicability of EMMARM, which aims to provide real-time information on the occurrence and severity of malaria in Mozambique and South Africa.
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Awareness of sleeping sickness by the populations of the Bipindi historic focus: Lessons for ownership and sustainability of control interventions

TL;DR: It was found that the population of Bipindi is stable and exhibit knowledge and perceptions that can be useful for appropriation and sustainability of control interventions, and males had better knowledge of sleeping sickness clinical signs and mode of transmission than their female counterparts.
Journal ArticleDOI

Spatial meta-analysis of the occurrence and distribution of tsetse-transmitted animal trypanosomiasis in Cameroon over the last 30 years

TL;DR: A systematic review of data on AAT and tsetse from 1990 to 2021 was conducted to develop a national atlas as discussed by the authors , with three pathogenic Trypanosoma species (T. vivax, T. congolense and T. brucei s.l.) most frequently identified as causing AAT.
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Apparent negative density-dependent dispersal in tsetse (Glossina spp) is an artefact of inappropriate analysis

TL;DR: It is demonstrated that NDDD in tsetse is an artefact consequent on multiple errors of analysis and interpretation, even in modelling situations where rates of dispersal are expressly assumed independent of population density.
References
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Journal ArticleDOI

Estimating F-statistics for the analysis of population structure.

TL;DR: The purpose of this discussion is to offer some unity to various estimation formulae and to point out that correlations of genes in structured populations, with which F-statistics are concerned, are expressed very conveniently with a set of parameters treated by Cockerham (1 969, 1973).
Journal Article

The Detection of Disease Clustering and a Generalized Regression Approach

Nathan Mantel
- 01 Feb 1967 - 
TL;DR: The technic to be given below for imparting statistical validity to the procedures already in vogue can be viewed as a generalized form of regression with possible useful application to problems arising in quite different contexts.
Journal ArticleDOI

Micro-Checker: Software for identifying and correcting genotyping errors in microsatellite data

TL;DR: MICRO - CHECKER estimates the frequency of null alleles and, importantly, can adjust the allele and genotype frequencies of the amplified alleles, permitting their use in further population genetic analysis.
Journal ArticleDOI

genepop'007: a complete re-implementation of the genepop software for Windows and Linux

TL;DR: This note summarizes developments of the genepop software since its first description in 1995, and in particular those new to version 4.0: an extended input format, several estimators of neighbourhood size under isolation by distance, new estimators and confidence intervals for null allele frequency, and less important extensions to previous options.
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