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dc.contributor.authorKanduma, Esther G.
dc.contributor.authorMwacharo, Oram M
dc.contributor.authorSunter, Ljack D
dc.contributor.authorNzuki, Inosters
dc.contributor.authorMwaura, Stephen
dc.contributor.authorKinyanjui, Peter W
dc.contributor.authorKibe, Michael
dc.contributor.authorHeyne, Heloise
dc.contributor.authorHanotte, Olivier
dc.contributor.authorSkilton, A.
dc.contributor.authorBishop, Richard P
dc.date.accessioned2013-03-21T07:11:32Z
dc.date.issued2012
dc.identifier.citationTicks and Tick-borne Diseases 3 (2012) 128-136en
dc.identifier.issn1877-959X
dc.identifier.urihttp://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/14854 http://www.ncbi.nlm.nih.gov/pubmed/22789728
dc.identifier.urihttp://www.ncbi.nlm.nih.gov/pubmed/22789728
dc.description.abstractBiological 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.en
dc.language.isoenen
dc.subjectGenetic diversityen
dc.subjectGenetic markersen
dc.subjectBrown ear ticken
dc.subjectSimple sequence repeatsen
dc.subjectTicksen
dc.titleMicro- and minisatellite-expressed sequence tag (EST) markers discriminate between populations of Rhipicephalus appendiculatusen
dc.typeArticleen
local.embargo.terms6 monthsen
local.publisherDepartment of Biochemistry, University of Nairobi, Nairobi. Kenyaen


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