Implications of Microfauna-Host Interactions for Trypanosome Transmission Dynamics in Glossina fuscipes fuscipes in Uganda

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dc.contributor.authorAlam, Uzma
dc.contributor.authorHyseni, Chaz
dc.contributor.authorSymula, Rebecca E.
dc.contributor.authorBrelsfoard, Corey
dc.contributor.authorWu, Yineng
dc.contributor.authorKruglov, Oleg
dc.contributor.authorWang, Jingwen
dc.contributor.authorEchodu, Richard
dc.contributor.authorAlioni, Victor
dc.contributor.authorOkedi, Loyce M.
dc.contributor.authorCaccone, Adalgisa
dc.contributor.authorAksoya, Serap
dc.date.accessioned2022-11-20T09:12:36Z
dc.date.available2022-11-20T09:12:36Z
dc.date.issued2012
dc.description.abstractTsetse flies (Diptera: Glossinidae) are vectors for African trypanosomes (Euglenozoa: kinetoplastida), protozoan parasites that cause African trypanosomiasis in humans (HAT) and nagana in livestock. In addition to trypanosomes, two symbiotic bacteria (Wigglesworthia glossinidia and Sodalis glossinidius) and two parasitic microbes, Wolbachia and a salivary gland hypertrophy virus (SGHV), have been described in tsetse. Here we determined the prevalence of and coinfection dynamics between Wolbachia, trypanosomes, and SGHV in Glossina fuscipes fuscipes in Uganda over a large geographical scale spanning the range of host genetic and spatial diversity. Using a multivariate analysis approach, we uncovered complex coinfection dynamics between the pathogens and statistically significant associations between host genetic groups and pathogen prevalence. It is important to note that these coinfection dynamics and associations with the host were not apparent by univariate analysis. These associations between host genotype and pathogen are particularly evident for Wolbachia and SGHV where host groups are inversely correlated for Wolbachia and SGHV prevalence. On the other hand, trypanosome infection prevalence is more complex and covaries with the presence of the other two pathogens, highlighting the importance of examining multiple pathogens simultaneously before making generalizations about infection and spatial patterns. It is imperative to note that these novel findings would have been missed if we had employed the standard univariate analysis used in previous studies. Our results are discussed in the context of disease epidemiology and vector control.en_US
dc.identifier.citationAlam, U., Hyseni, C., Symula, RE, Brelsfoard, C., Wu, Y., Kruglov, O., ... & Aksoy, S. (2012). Implications of microfauna-host interactions for trypanosome transmission dynamics in Glossina fuscipes fuscipes in Uganda. Applied and Environmental Microbiology , 78 (13), 4627-4637. doi:10.1128/AEM.00806-12en_US
dc.identifier.other10.1128/AEM.00806-12
dc.identifier.urihttps://nru.uncst.go.ug/handle/123456789/5348
dc.language.isoenen_US
dc.publisherApplied and Environmental Microbiologyen_US
dc.subjectMicrofauna-Host Interactionsen_US
dc.subjectTrypanosome Transmission Dynamicsen_US
dc.subjectGlossina fuscipes fuscipesen_US
dc.subjectUgandaen_US
dc.titleImplications of Microfauna-Host Interactions for Trypanosome Transmission Dynamics in Glossina fuscipes fuscipes in Ugandaen_US
dc.typeArticleen_US
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