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Temporal genetic differentiation in Glossina pallidipes tsetse fly populations in Kenya

BACKGROUND: Glossina pallidipes is a major vector of both Human and Animal African Trypanosomiasis (HAT and AAT) in Kenya. The disease imposes economic burden on endemic regions in Kenya, including south-western Kenya, which has undergone intense but unsuccessful tsetse fly control measures. We geno...

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Autores principales: Okeyo, Winnie A., Saarman, Norah P., Mengual, Michael, Dion, Kirstin, Bateta, Rosemary, Mireji, Paul O., Okoth, Sylvance, Ouma, Johnson O., Ouma, Collins, Ochieng, Joel, Murilla, Grace, Aksoy, Serap, Caccone, Adalgisa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5635580/
https://www.ncbi.nlm.nih.gov/pubmed/29017572
http://dx.doi.org/10.1186/s13071-017-2415-y
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author Okeyo, Winnie A.
Saarman, Norah P.
Mengual, Michael
Dion, Kirstin
Bateta, Rosemary
Mireji, Paul O.
Okoth, Sylvance
Ouma, Johnson O.
Ouma, Collins
Ochieng, Joel
Murilla, Grace
Aksoy, Serap
Caccone, Adalgisa
author_facet Okeyo, Winnie A.
Saarman, Norah P.
Mengual, Michael
Dion, Kirstin
Bateta, Rosemary
Mireji, Paul O.
Okoth, Sylvance
Ouma, Johnson O.
Ouma, Collins
Ochieng, Joel
Murilla, Grace
Aksoy, Serap
Caccone, Adalgisa
author_sort Okeyo, Winnie A.
collection PubMed
description BACKGROUND: Glossina pallidipes is a major vector of both Human and Animal African Trypanosomiasis (HAT and AAT) in Kenya. The disease imposes economic burden on endemic regions in Kenya, including south-western Kenya, which has undergone intense but unsuccessful tsetse fly control measures. We genotyped 387 G. pallidipes flies at 13 microsatellite markers to evaluate levels of temporal genetic variation in two regions that have been subjected to intensive eradication campaigns from the 1960s to the 1980s. One of the regions, Nguruman Escarpment, has been subject to habitat alteration due to human activities, while the other, Ruma National Park, has not. In addition, Nguruman Escarpment is impacted by the movement of grazing animals into the area from neighboring regions during the drought season. We collected our samples from three geographically close sampling sites for each of the two regions. Samples were collected between the years 2003 and 2015, spanning ~96 tsetse fly generations. RESULTS: We established that allelic richness averaged 3.49 and 3.63, and temporal N(e) estimates averaged 594 in Nguruman Escarpment and 1120 in Ruma National Park. This suggests that genetic diversity is similar to what was found in previous studies of G. pallidipes in Uganda and Kenya, implying that we could not detect a reduction in genetic diversity following the extensive control efforts during the 1960s to the 1980s. However, we did find differences in temporal patterns of genetic variation between the two regions, indicated by clustering analysis, pairwise F(ST), and Fisher’s exact tests for changes in allele and genotype frequencies. In Nguruman Escarpment, findings indicated differentiation among samples collected in different years, and evidence of local genetic bottlenecks in two locations previous to 2003, and between 2009 and 2015. In contrast, there was no consistent evidence of differentiation among samples collected in different years, and no evidence of local genetic bottlenecks in Ruma National Park. CONCLUSION: Our findings suggest that, despite extensive control measures especially between the 1960s and the 1980s, tsetse flies in these regions persist with levels of genetic diversity similar to that found in populations that did not experience extensive control measures. Our findings also indicate temporal genetic differentiation in Nguruman Escarpment detected at a scale of > 80 generations, and no similar temporal differentiation in Ruma National Park. The different level of temporal differentiation between the two regions indicates that genetic drift is stronger in Nugruman Escarpment, for as-yet unknown reasons, which may include differences in land management. This suggests land management may have an impact on G. pallidipes population genetics, and reinforces the importance of long term monitoring of vector populations in estimates of parameters needed to model and plan effective species-specific control measures. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13071-017-2415-y) contains supplementary material, which is available to authorized users.
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spelling pubmed-56355802017-10-18 Temporal genetic differentiation in Glossina pallidipes tsetse fly populations in Kenya Okeyo, Winnie A. Saarman, Norah P. Mengual, Michael Dion, Kirstin Bateta, Rosemary Mireji, Paul O. Okoth, Sylvance Ouma, Johnson O. Ouma, Collins Ochieng, Joel Murilla, Grace Aksoy, Serap Caccone, Adalgisa Parasit Vectors Research BACKGROUND: Glossina pallidipes is a major vector of both Human and Animal African Trypanosomiasis (HAT and AAT) in Kenya. The disease imposes economic burden on endemic regions in Kenya, including south-western Kenya, which has undergone intense but unsuccessful tsetse fly control measures. We genotyped 387 G. pallidipes flies at 13 microsatellite markers to evaluate levels of temporal genetic variation in two regions that have been subjected to intensive eradication campaigns from the 1960s to the 1980s. One of the regions, Nguruman Escarpment, has been subject to habitat alteration due to human activities, while the other, Ruma National Park, has not. In addition, Nguruman Escarpment is impacted by the movement of grazing animals into the area from neighboring regions during the drought season. We collected our samples from three geographically close sampling sites for each of the two regions. Samples were collected between the years 2003 and 2015, spanning ~96 tsetse fly generations. RESULTS: We established that allelic richness averaged 3.49 and 3.63, and temporal N(e) estimates averaged 594 in Nguruman Escarpment and 1120 in Ruma National Park. This suggests that genetic diversity is similar to what was found in previous studies of G. pallidipes in Uganda and Kenya, implying that we could not detect a reduction in genetic diversity following the extensive control efforts during the 1960s to the 1980s. However, we did find differences in temporal patterns of genetic variation between the two regions, indicated by clustering analysis, pairwise F(ST), and Fisher’s exact tests for changes in allele and genotype frequencies. In Nguruman Escarpment, findings indicated differentiation among samples collected in different years, and evidence of local genetic bottlenecks in two locations previous to 2003, and between 2009 and 2015. In contrast, there was no consistent evidence of differentiation among samples collected in different years, and no evidence of local genetic bottlenecks in Ruma National Park. CONCLUSION: Our findings suggest that, despite extensive control measures especially between the 1960s and the 1980s, tsetse flies in these regions persist with levels of genetic diversity similar to that found in populations that did not experience extensive control measures. Our findings also indicate temporal genetic differentiation in Nguruman Escarpment detected at a scale of > 80 generations, and no similar temporal differentiation in Ruma National Park. The different level of temporal differentiation between the two regions indicates that genetic drift is stronger in Nugruman Escarpment, for as-yet unknown reasons, which may include differences in land management. This suggests land management may have an impact on G. pallidipes population genetics, and reinforces the importance of long term monitoring of vector populations in estimates of parameters needed to model and plan effective species-specific control measures. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13071-017-2415-y) contains supplementary material, which is available to authorized users. BioMed Central 2017-10-10 /pmc/articles/PMC5635580/ /pubmed/29017572 http://dx.doi.org/10.1186/s13071-017-2415-y Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Okeyo, Winnie A.
Saarman, Norah P.
Mengual, Michael
Dion, Kirstin
Bateta, Rosemary
Mireji, Paul O.
Okoth, Sylvance
Ouma, Johnson O.
Ouma, Collins
Ochieng, Joel
Murilla, Grace
Aksoy, Serap
Caccone, Adalgisa
Temporal genetic differentiation in Glossina pallidipes tsetse fly populations in Kenya
title Temporal genetic differentiation in Glossina pallidipes tsetse fly populations in Kenya
title_full Temporal genetic differentiation in Glossina pallidipes tsetse fly populations in Kenya
title_fullStr Temporal genetic differentiation in Glossina pallidipes tsetse fly populations in Kenya
title_full_unstemmed Temporal genetic differentiation in Glossina pallidipes tsetse fly populations in Kenya
title_short Temporal genetic differentiation in Glossina pallidipes tsetse fly populations in Kenya
title_sort temporal genetic differentiation in glossina pallidipes tsetse fly populations in kenya
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5635580/
https://www.ncbi.nlm.nih.gov/pubmed/29017572
http://dx.doi.org/10.1186/s13071-017-2415-y
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