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    Population genetic structure of the elephant tick Amblyomma tholloni from different elephant populations in Kenya

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    Authors
    King'ori, E.M.
    Obanda, V.
    Nyamota, Richard
    Remesar, S.
    Chiyo, P.I.
    Soriguer, R.
    Morrondo, P.
    Date Issued
    2022-05
    Language
    en
    Type
    Journal Article
    Review status
    Peer Review
    ISI journal
    Accessibility
    Limited Access
    Usage rights
    Copyrighted; all rights reserved
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    Citation
    King'ori, E.M., Obanda, V., Nyamota, R., Remesar, S., Chiyo, P.I., Soriguer, R. and Morrondo, P. 2022. Population genetic structure of the elephant tick Amblyomma tholloni from different elephant populations in Kenya. Ticks and Tick-borne Diseases 13(3): 101935.
    Permanent link to cite or share this item: https://hdl.handle.net/10568/118463
    DOI: https://doi.org/10.1016/j.ttbdis.2022.101935
    Abstract/Description
    Understanding factors that shape tick population genetic structure is important as they may be exploited in crafting strategies for vector control. Amblyomma tholloni, or “elephant tick” is a three-host tick whose adults preferentially parasitize African elephants. The aim of this study was to determine the influence of fragmentation of the host populations on the genetic structure of this tick species from different ecosystems in Kenya, using the second internal transcribed spacer (ITS-2) and mitochondrial cytochrome oxidase 1 (CO1) loci. Population genetic analysis of ticks collected from four elephant populations using ITS-2 and CO1 loci revealed high gene diversity. Gene diversity at the ITS-2 locus was 0.91 and the nucleotide diversity was, 0.01. ITS-2 gene diversity was highest in Laikipia-Samburu ecosystem (0.947) and lowest in Tsavo (0.80). The CO1 locus also had high gene diversity, 0.790, and low nucleotide diversity, 0.006, and like ITS-2, gene diversity was higher in Laikipia-Samburu ecosystem (1.00) and lower in Tsavo (0.286). There was a modest statistically significant genetic differentiation among the four tick populations based on ITS-2 (FST = 0.104, P < 0.001; ΦST = 0.105, P < 0.001), and a 10% of molecular variance attributed to genetic variation between populations. There was also statistically significant differentiation among tick populations using haplotype frequencies for CO1 locus (FST = 0.167, P < 0.001) accounting for 17% of genetic variance among populations, but not modelled genetic distances (ΦST = 0.029, P = 0.095) suggesting very recent genetic differentiation. In addition, populations of A. tholloni in Kenya had a significantly negative Tajima D and Fu & Li's F* and D* at the CO1 locus suggesting recent positive selection. The extensive acaricide use in livestock, which host the larval stage, could be driving purifying selection and genetic hitchhiking of the CO1 locus. However, tests sensitive to demography such as Fu's FS, Ramos-Onsins & Rozas's R2 and raggedness index r were statistically significant at the ITS-2 locus suggesting ancient demographic expansion. Elephant population fragmentation appears to shape the genetic structure of A. tholloni, while agro-ecological factors could influence the genetic diversity of ticks.
    CGIAR Author ORCID iDs
    Richard Nyamotahttps://orcid.org/0000-0002-9569-1953
    CGIAR Impact Areas
    Environmental health and biodiversity
    Contributes to SDGs
    SDG 15 - Life on land
    AGROVOC Keywords
    wildlife; vectors
    Subjects
    WILDLIFE;
    Countries
    Kenya
    Regions
    Africa; Eastern Africa
    Organizations Affiliated to the Authors
    University of Santiago de Compostela; Kenya Wildlife Service; Wildlife Research and Training Institute; Egerton University; International Livestock Research Institute; Duke University; Consejo Superior de Investigaciones Científicas, Spain
    Collections
    • ILRI animal and human health program outputs [1547]
    • ILRI articles in journals [6643]

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