Please use this identifier to cite or link to this item: https://repository.seku.ac.ke/handle/123456789/73
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dc.contributor.authorMuluvi, Geoffrey M.
dc.contributor.authorKadu, Caroline A. C.
dc.contributor.authorKonrad, Heino
dc.contributor.authorSchueler, Silvio
dc.contributor.authorEyog-Matig, Oscar
dc.contributor.authorMuchugi, Alice
dc.contributor.authorWilliams, Vivienne L.
dc.contributor.authorRamamonjisoa, Lolona
dc.contributor.authorKapinga, Consolatha
dc.contributor.authorFoahom, Bernard
dc.contributor.authorKatsvanga, Cuthbert
dc.contributor.authorHafashimana, David
dc.contributor.authorObama, Crisantos
dc.contributor.authorGeburek, Thomas
dc.date.accessioned2014-11-19T11:39:50Z
dc.date.available2014-11-19T11:39:50Z
dc.date.issued2013
dc.identifier.citationAnnals of Botany 111: 47–60, 2013en_US
dc.identifier.uriwww.aob.oxfordjournals.org
dc.identifier.urihttp://hdl.handle.net/123456789/73
dc.descriptiondoi:10.1093/aob/mcs235en_US
dc.description.abstract†Background and Aims Afromontane forest ecosystems share a high similarity of plant and animal biodiversity, although they occur mainly on isolated mountain massifs throughout the continent. This resemblance has long provoked questions on former wider distribution of Afromontane forests. In this study Prunus africana (one ofthecharactertreesofAfromontaneforests)isusedasamodelforunderstandingthebiogeographyofthisvegetation zone. †Methods Thirty natural populations from nine African countries covering a large part of Afromontane regions were analysed using six nuclear microsatellites. Standard population genetic analysis as well as Bayesian and maximum likelihood models were used to infer genetic diversity, population differentiation, barriers to gene flow, and recent and all migration among populations. †Key Results Prunus africana exhibits strong divergence among five main Afromontane regions: West Africa, East Africa west of the Eastern Rift Valley (ERV), East Africa east of the ERV, southern Africa and Madagascar. The strongest divergence was evident between Madagascar and continental Africa. Populations from West Africa showed high similarity with East African populations west of the ERV, whereas populations east of the ERV are closely related to populations of southern Africa, respectively. †Conclusions The observed patterns indicate divergent population history across the continent most likely associated to Pleistocene changes in climatic conditions. The high genetic similarity between populations of West Africa with population of East Africa west of the ERV is in agreement with faunistic and floristic patterns and provides further evidence for a historical migration route. Contrasting estimates of recent and historical gene flow indicate a shift of the main barrier to gene flow from the Lake Victoria basin to the ERV, highlighting the dynamic environmental and evolutionary history of the region.en_US
dc.language.isoenen_US
dc.publisherOxford University Pressen_US
dc.subjectAfromontane vegetationen_US
dc.subjectgene flowen_US
dc.subjectmicrosatellitesen_US
dc.subjectpopulation differentiationen_US
dc.subjectpopulation historyen_US
dc.subjectPrunus africanaen_US
dc.subjectEast African Rift systemen_US
dc.titleDivergent pattern of nuclear genetic diversity across the range of the Afromontane Prunus africana mirrors variable climate of African highlandsen_US
dc.typeArticleen_US
Appears in Collections:School of Science and Computing (JA)



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