A spatial genetics approach to inform vector control of tsetse flies (Glossina fuscipes fuscipes) in Northern Uganda

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dc.contributor.authorSaarman, Norah
dc.contributor.authorBurak, Mary
dc.contributor.authorOpiro, Robert
dc.contributor.authorHyseni, Chaz
dc.contributor.authorEchodu, Richard
dc.contributor.authorDion, Kirstin
dc.contributor.authorOpiyo, Elizabeth A.
dc.contributor.authorDunn, Augustine W.
dc.contributor.authorAmatulli, Giuseppe
dc.contributor.authorAksoy, Serap
dc.contributor.authorCaccone, Adalgisa
dc.date.accessioned2022-11-17T09:50:11Z
dc.date.available2022-11-17T09:50:11Z
dc.date.issued2018
dc.description.abstractTsetse flies (genus Glossina) are the only vector for the parasitic trypanosomes responsible for sleeping sickness and nagana across sub-Saharan Africa. In Uganda, the tsetse fly Glossina fuscipes fuscipes is responsible for transmission of the parasite in 90% of sleeping sickness cases, and co-occurrence of both forms of human-infective trypanosomes makes vector control a priority. We use population genetic data from 38 samples from northern Uganda in a novel methodological pipeline that integrates genetic data, remotely sensed environmental data, and hundreds of field-survey observations. This methodological pipeline identifies isolated habitat by first identifying environmental parameters correlated with genetic differentiation, second, predicting spatial connectivity using field-survey observations and the most predictive environmental parameter(s), and third, overlaying the connectivity surface onto a habitat suitability map. Results from this pipeline indicated that net photosynthesis was the strongest predictor of genetic differentiation in G. f. fuscipes in northern Uganda. The resulting connectivity surface identified a large area of well-connected habitat in northwestern Uganda, and twenty-four isolated patches on the northeastern margin of the G. f. fuscipes distribution. We tested this novel methodological pipeline by completing an ad hoc sample and genetic screen of G. f. fuscipes s amples f rom a m odel-predicted isolated patch, and evaluated whether the ad hoc sample was in fact as genetically isolated as predicted. Results indicated that genetic isolation of the ad hoc sample was as genetically isolated as predicted, with differentiation well above estimates made in samples from within well-connected habitat separated by similar geographic distances. This work has important practical implications for the control of tsetse and other disease vectors, because it provides a way to identify isolated populations where it will be safer and easier to implement vector control and that should be prioritized as study sites during the development and improvement of vector control methods.en_US
dc.identifier.citationSaarman, N., Burak, M., Opiro, R., Hyseni, C., Echodu, R., Dion, K., ... & Caccone, A. (2018). A spatial genetics approach to inform vector control of tsetse flies (Glossina fuscipes fuscipes) in Northern Uganda. Ecology and evolution, 8(11), 5336-5354. DOI: 10.1002/ece3.4050en_US
dc.identifier.other10.1002/ece3.4050
dc.identifier.urihttps://nru.uncst.go.ug/handle/123456789/5311
dc.language.isoenen_US
dc.publisherEcology and evolutionen_US
dc.subjectLandscape geneticsen_US
dc.subjectMaximum entropy modelen_US
dc.subjectSleeping sicknessen_US
dc.subjectSpatial geneticsen_US
dc.subjectTsetse flyen_US
dc.subjectVector controlen_US
dc.titleA spatial genetics approach to inform vector control of tsetse flies (Glossina fuscipes fuscipes) in Northern Ugandaen_US
dc.typeArticleen_US
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