• Login
    • Login
    Advanced Search
    View Item 
    •   UoN Digital Repository Home
    • Journal Articles
    • Faculty of Health Sciences (FHS)
    • View Item
    •   UoN Digital Repository Home
    • Journal Articles
    • Faculty of Health Sciences (FHS)
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Micro- and minisatellite-expressed sequence tag (EST) markers discriminate between populations of Rhipicephalus appendiculatus

    View/Open
    Micro- and minisatellite-expressed sequence tag (EST) markers discriminate between populations of Rhipicephalus appendiculatus.pdf (8.272Mb)
    Date
    2012
    Author
    Kanduma, Esther G.
    Mwacharo, Oram M
    Sunter, Ljack D
    Nzuki, Inosters
    Mwaura, Stephen
    Kinyanjui, Peter W
    Kibe, Michael
    Heyne, Heloise
    Hanotte, Olivier
    Skilton, A.
    Bishop, Richard P
    Type
    Article
    Language
    en
    Metadata
    Show full item record

    Abstract
    Biological differences, including vector competence for the protozoan parasite Theileria parva have been reported among populations of Rhipicephalus appendiculatus (Acari: Ixodidae) from different geographic regions. However, the genetic diversity and population structure of this important tick vector remain unknown due to the absence of appropriate genetic markers. Here, we describe the development and evaluation of a panel of EST micro- and minisatellite markers to characterize the genetic diversity within and between populations of R. appendiculatus and other rhipicephaline species. Sixty-six micro- and minisatellite markers were identified through analysis of the R. appelldiculatus Gene Index (RaGI) EST database and selected bacterial artificial chromosome (BAC) sequences. These were used to genotype 979 individual ticks from 10 field populations. 10 laboratory-bred stocks. and 5 additional Rhipicephalus species. Twenty-nine markers were polymorphic and therefore informative for genetic studies while 6 were monomorphic. Primers designed from the remaining31 loci did not reliably generate amplicons. The 29 polymorphic markers discriminated populations of R. appendiculatus and also 4 other Rhipicephailis species. but not R. zambeztensls. The percentage Principal Component Analysis (PCA) implemented using Multiple Co-inertia Analysis (MCoA) clustered populations of R. appendiClllatus into 2 groups. Individual markers however differed in their ability to generate the reference typology using the MCoA approach. This indicates that different panels.of markers may be required for differen(appjications. The 29 informative polymorphic micro- and minisatellite markers are the first available tools for the analysis of the phylogeography and population genetics of R. appendiculatus.
    URI
    http://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/14854 http://www.ncbi.nlm.nih.gov/pubmed/22789728
    http://www.ncbi.nlm.nih.gov/pubmed/22789728
    Citation
    Ticks and Tick-borne Diseases 3 (2012) 128-136
    Publisher
    Department of Biochemistry, University of Nairobi, Nairobi. Kenya
    Subject
    Genetic diversity
    Genetic markers
    Brown ear tick
    Simple sequence repeats
    Ticks
    Collections
    • Faculty of Health Sciences (FHS) [10418]

    Copyright © 2022 
    University of Nairobi Library
    Contact Us | Send Feedback

     

     

    Useful Links
    UON HomeLibrary HomeKLISC

    Browse

    All of UoN Digital RepositoryCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    LoginRegister

    Copyright © 2022 
    University of Nairobi Library
    Contact Us | Send Feedback