bioRxivEcologyPreprint
Population genetic structure and connectivity of Glossina palpalis gambiensis and G. morsitans submorsitans in Southwestern Senegal
Mame Thierno BakhoumiD, Assane Guèye FalliD, Adeline SégardiD, Momar Talla SeckiD, Abdou Samath Thiall, Geoffrey GimonneauiD, Sophie RaveliD, Thierry De MeeûsiD
Abstract
In sub-Saharan Africa, human and animal health is threatened by African trypanosomoses. These diseases are caused by trypanosomes that are transmitted primarily by tsetse flies. Vector control remains one of the most effective strategies for reducing disease transmission, but requires a minimum level of knowledge of the population biology, ecology and dispersal patterns of the targeted vectors. In this respect, population genetic approaches using appropriate polymorphic genetic markers can provide valuable tools to inform and optimize control strategies. Senegal is currently engaged in a national tsetse control programme and has been identified as a study country within a European Union-funded research initiative, COMBAT (controlling and progressively minimizing the burden of animal trypanosomosis). Baseline entomological studies are currently underway in the Sine Saloum (Southern Senegal). This preliminary study aimed to characterize the population genetic structure and connectivity of tsetse fly species present in Southern Senegal, Glossina palpalis gambiensis and G. morsitans submorsitans, in order to assess their population sizes (geographically and demographically), population densities and dispersal capacities. The two species exhibited markedly contrasting population structures. The first, G. p. gambiensis, displayed an isolation by distance with rather dense subpopulations exchanging immigrants at short distances (1.6 km/generation) and continuously from Sine-Saloum to Casamance, in line with the apparent continuity of the mangrove network found along this coast. In contrast, G. m. submorsitans presented a relatively dense population over a 75 km wide area, fragmented into sparsely distributed, very dense and interconnected pockets. These findings indicate that G. p. gambiensis likely constitutes a large metapopulation comprising 3266 effective individuals on average (and up to 7765), whereas G. m. submorsitans appeared as a single and large population, scattered in small pockets that could be readily replenished by immigrants from distant areas in case of control. These results suggest that elimination is not a realistic option for any of these two populations. Alternatively, localized integrated pest management is likely to be the most effective approach for controlling the negative effects of these biting flies on domestic animals, by reducing trypanosome transmission. However, further entomological investigations and the use of more informative genetic markers are needed to obtain a more precise understanding of the epidemiological processes involved.
- Citations
- 0
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Unravelling genetic differentiation between Glossina brevipalpis populations from two distant National Parks in Mozambique
Denise R. A. Brito, Adeline Ségard, … Luís Neves·PLoS neglected tropical diseasesPeer-reviewed·May 30, 2025
- Population genetics of Glossina palpalis gambiensis in the sleeping sickness focus of Boffa (Guinea) before and after eight years of vector control: no effect of control despite a significant decrease of human exposure to the disease
M. S. Kagbadouno, M. SERE, … S. Ravel·bioRxiv·Jul 25, 2023
- Impact of vector control on effective population sizes; empirical evidence for a control- based genetic bottleneck in the tsetse fly Glossina fuscipes
A. Muhwezi, L. J. Cunningham, … S. J. Torr·bioRxiv·Jun 25, 2020
- Development of microsatellite markers with the SSRseq method on Glossina palpalis gambiensis, and G. p. palpalis, and analysis of corresponding field samples from three sleeping sickness foci: Boffa, Dubreka (Guinea), and Bonon (Cote d'Ivoire).
Thierry De Meeûs, Sophie Ravel, … Olivier Lepais·bioRxiv·Sep 25, 2026
- The Glossina Genome Cluster: Comparative Genomic Analysis of the Vectors of African Trypanosomes
Geoffrey Michael Attardo, Adly M. M. Abd‐Alla, … Serap Aksoy·bioRxiv·Jan 27, 2019
- Mapping tsetse fly connectivity in Uganda with machine learning landscape genetics
Norah P. Saarman, Ryan Griffiths, … Andrea Gloria‐Soria·bioRxiv·Sep 12, 2026