ArticleBMC microbiology2018
Diversity and phylogenetic relationships of Glossina populations in Nigeria and the Cameroonian border region.
Article in BMC microbiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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11 citing papers in PubMed, 22 citations in OpenAlex.
- Identification of Sialidase-Producing Bacteria in the Tsetse Gut and Characterisation of a Paenibacillus Sialidase: A Potential Tool for Paratransgenic Control of African Trypanosomes.Research square · 2026Article
- Complete genome sequence and genetic features of a novel Pseudomonas sp. isolate (CAM1A) from tsetse fly gut captured in Dodeo, Cameroon.BMC genomic data · 2025Article
- Spiroplasma, Wolbachia, Sodalis and trypanosome associations in Glossina Tachinoides from Yankari game reserve, Nigeria.BMC veterinary research · 2025Article
- Prospects for application of population genetics for control of tsetse flies in Africa.Current opinion in insect science · 2025Review
- Molecular detection of Sodalis glossinidius, Spiroplasma species and Wolbachia endosymbionts in wild population of tsetse flies collected in Cameroon, Chad and Nigeria.BMC microbiology · 2023Article
- Molecular detection of Sodalis glossinidius, Spiroplasma and Wolbachia endosymbionts in wild population of tsetse flies collected in Cameroon, Chad and Nigeria.Research square · 2023Article
- Spatial meta-analysis of the occurrence and distribution of tsetse-transmitted animal trypanosomiasis in Cameroon over the last 30 years.Epidemiology and infection · 2022Article
- Diversity of tsetse flies and trypanosome species circulating in the area of Lake Iro in southeastern Chad.Parasites & vectors · 2021Article
- Diversity of trypanosomes in humans and cattle in the HAT foci Mandoul and Maro, Southern Chad-A matter of concern for zoonotic potential?PLoS neglected tropical diseases · 2021Article
- Genetic diversity of trypanosome species in tsetse flies (Glossina spp.) in Nigeria.Parasites & vectors · 2019Article
- Enhancing vector refractoriness to trypanosome infection: achievements, challenges and perspectives.BMC microbiology · 2018Article
Corrections and comments
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Authors and funding
10 authors at 5 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundTsetse flies are vectors of trypanosomes, parasites that cause devastating disease in humans and livestock. In the course of vector control programmes it is necessary to know about the Glossina species present in the study area, the population dynamics and the genetic exchange between tsetse fly populations.
resultsTo achieve an overview of the tsetse fly diversity in Nigeria and at the Nigeria-Cameroon border, tsetse flies were trapped and collected between February and March 2014 and December 2016. Species diversity was determined morphologically and by analysis of Cytochrome C Oxidase SU1 (COI) gene sequences. Internal transcribed spacer-1 (ITS-1) sequences were compared to analyse variations within populations. The most dominant species were G. m. submorsitans, G. tachinoides and G. p. palpalis. In Yankari Game Reserve and Kainji Lake National Park, G. submorsitans and G. tachinoides were most frequent, whereas in Old Oyo National Park and Ijah Gwari G. p. palpalis was the dominant species. Interestingly, four unidentified species were recorded during the survey, for which no information on COI or ITS-1 sequences exists. G. p. palpalis populations showed a segregation in two clusters along the Cameroon-Nigerian border.
conclusionsThe improved understanding of the tsetse populations in Nigeria will support decisions on the scale in which vector control is likely to be more effective. In order to understand in more detail how isolated these populations are, it is recommended that further studies on gene flow be carried out using other markers, including microsatellites.
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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.