ArticleParasites & vectors2011
Population genetics of Glossina palpalis palpalis from central African sleeping sickness foci.
Article in Parasites & vectors, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
23 citing papers in PubMed.
- From islands to landscapes: Integrating genomic and advanced eco-geographic tools in area-wide tsetse control.PLoS neglected tropical diseases · 2026Review
- Patterns of microbiome composition in tsetse flyMicrobiology spectrum · 2024Article
- Spatial meta-analysis of the occurrence and distribution of tsetse-transmitted animal trypanosomiasis in Cameroon over the last 30 years.Epidemiology and infection · 2022Article
- Negative density-dependent dispersal in tsetse (Glossina spp): An artefact of inappropriate analysis.PLoS neglected tropical diseases · 2021Article
- The impact of vector migration on the effectiveness of strategies to control gambiense human African trypanosomiasis.PLoS neglected tropical diseases · 2019Article
- Association between IL1 gene polymorphism and human African trypanosomiasis in populations of sleeping sickness foci of southern Cameroon.PLoS neglected tropical diseases · 2019Article
- Detection of Wolbachia and different trypanosome species in Glossina palpalis palpalis populations from three sleeping sickness foci of southern Cameroon.Parasites & vectors · 2018Article
- Diversity and phylogenetic relationships of Glossina populations in Nigeria and the Cameroonian border region.BMC microbiology · 2018Article
- A polymorphism in the haptoglobin, haptoglobin related protein locus is associated with risk of human sleeping sickness within Cameroonian populations.PLoS neglected tropical diseases · 2017Article
- Comparison of different genetic distances to test isolation by distance between populations.Heredity · 2017Article
- Intestinal Bacterial Communities of Trypanosome-Infected and UninfectedFrontiers in microbiology · 2017Article
- Xenomonitoring of sleeping sickness transmission in Campo (Cameroon).Parasites & vectors · 2016Article
- Simulating the elimination of sleeping sickness with an agent-based model.Parasite (Paris, France) · 2016Article
- Mitochondrial DNA sequence divergence and diversity of Glossina fuscipes fuscipes in the Lake Victoria basin of Uganda: implications for control.Parasites & vectors · 2015Article
- Ecotype evolution in Glossina palpalis subspecies, major vectors of sleeping sickness.PLoS neglected tropical diseases · 2015Article
- Challenges towards the elimination of Human African Trypanosomiasis in the sleeping sickness focus of Campo in southern Cameroon.Parasites & vectors · 2014Review
- Glossina palpalis palpalis populations from Equatorial Guinea belong to distinct allopatric clades.Parasites & vectors · 2014Article
- Standardising visual control devices for tsetse flies: Central and West African species Glossina palpalis palpalis.PLoS neglected tropical diseases · 2014Article
- Spatial and temporal variations relevant to tsetse control in the Bipindi focus of southern Cameroon.Parasites & vectors · 2013Article
- Evaluation of the European foundation initiative into African research in neglected tropical diseases by the African fellows.PLoS neglected tropical diseases · 2013Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundGlossina 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.
resultsA 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 km2, dispersal distance between reproducing adults and their parents extends between 60 and 300 meters.
conclusionsThis 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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.