Nuclear and Wolbachia-based multimarker approach for the rapid and accurate identification of tsetse species |
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Authors: | Augustinos,Antonios A.,Meki,Irene K.,Demirbas-Uzel,Guler,Oué draogo,Gisele M. S.,Saridaki,Aggeliki,Tsiamis,George,Parker,Andrew G.,Abd-Alla,Adly M. M.,Bourtzis,Kostas |
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Affiliation: | 1.Insect Pest Control Laboratory, Joint FAO/IAEA Division of Nuclear Techniques in Food and Agriculture, Vienna International Centre, P.O. Box 100, 1400, Vienna, Austria ;2.Ecole National de l’Elevage et de la Santé Animale, 03 BP 7026, Ouagadougou 03, Burkina Faso ;3.Department of Environmental and Natural Resources Management, University of Patras, Agrinio, Greece ; |
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Abstract: | Background Tsetse flies (Diptera: Glossinidae) are solely responsible for the transmission of African trypanosomes, causative agents of sleeping sickness in humans and nagana in livestock. Due to the lack of efficient vaccines and the emergence of drug resistance, vector control approaches such as the sterile insect technique (SIT), remain the most effective way to control disease. SIT is a species-specific approach and therefore requires accurate identification of natural pest populations at the species level. However, the presence of morphologically similar species (species complexes and sub-species) in tsetse flies challenges the successful implementation of SIT-based population control. ResultsIn this study, we evaluate different molecular tools that can be applied for the delimitation of different Glossina species using tsetse samples derived from laboratory colonies, natural populations and museum specimens. The use of mitochondrial markers, nuclear markers (including internal transcribed spacer 1 (ITS1) and different microsatellites), and bacterial symbiotic markers (Wolbachia infection status) in combination with relatively inexpensive techniques such as PCR, agarose gel electrophoresis, and to some extent sequencing provided a rapid, cost effective, and accurate identification of several tsetse species. ConclusionsThe effectiveness of SIT benefits from the fine resolution of species limits in nature. The present study supports the quick identification of large samples using simple and cost effective universalized protocols, which can be easily applied by countries/laboratories with limited resources and expertise. |
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