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Genetic diversity and structure of baobab (Adansonia digitata L.) in south-eastern Kenya

  1. 1.
    0510419 - BÚ 2020 RIV GB eng J - Článek v odborném periodiku
    Chládová, A. - Kalousová, M. - Mandák, Bohumil - Kehlenbeck, K. - Prinz, K. - Šmíd, J. - Van Damme, P. - Lojka, B.
    Genetic diversity and structure of baobab (Adansonia digitata L.) in south-eastern Kenya.
    Royal Society Open Science. Roč. 6, č. 9 (2019), s. 1-11, č. článku 190854. ISSN 2054-5703. E-ISSN 2054-5703
    Institucionální podpora: RVO:67985939
    Klíčová slova: Adansonia * microsatellites * phylogeography
    Obor OECD: Plant sciences, botany
    Impakt faktor: 2.646, rok: 2019
    Způsob publikování: Open access

    Baobab (Adansonia digitata L.) is an iconic tree of African savannahs. Its multipurpose character and nutritional composition of fruits and leaves offer high economic and social potential for local communities. There is an urgent need to characterize genetic diversity of the Kenyan baobab populations in order to facilitate further conservation programs. This study aims at documenting the genetic diversity and structure of baobab populations in south-eastern Kenya. Leaf or bark samples were collected from 189 baobab trees in seven populations distributed in two geographical groups, i.e. four inland and three coastal populations. Nine microsatellite loci were used to assess the genetic diversity. Overall, genetic diversity of the species was high and similarly distributed over the populations. Bayesian clustering and Principal Coordinate Analysis congruently divided the populations into two distinct clusters, suggesting significant differences between inland and coastal populations. The genetic differentiation between coastal and inland populations suggests limited possibility of gene flow between these populations. Further conservation and domestications studies should take in consideration the geographical origin of trees and more attention should be paid to morphological characterisation of fruits and leaves of the coastal and inland populations to understand the causes and the impact of the differentiation.
    Trvalý link: http://hdl.handle.net/11104/0302561

     
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