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Genetic Diversity in Kenyan Populations of Acacia senegal (L.) Willd. Based on ISSR Markers

Open Access
|Oct 2017

Abstract

Acacia senegal (L.) Willd is an African arid and semi arid zones, leguminous multipurpose tree species belonging to the subfamily Mimosoideae, family Fabaceae and subgenus Aculeiferum, highly valued for gum arabic production. Patterns of genetic diversity of this important species in Kenya have not been studied for efficiency of germplasm utilization, conservation and improvement. Four natural populations of A. senegal in Kenya (Bulla Sambul, Kutulo, Wamba and Meisori) were analyzed to estimate genetic variation among and within populations, by use of ISSR (Inter-simple sequence repeat) markers. Using five primers, 17 polymorphic loci were observed, ranging in size from 564bp to 983bp. A high mean total genetic diversity index for the species was observed (H= 0.27). The principal coordinates analysis (PCoA) of the 95 samples from the four populations showed that about 40.75% of the total variation was described by the first two axes with much overlap among populations; hence populations were not defined on the basis of geographic distance. Much of the genetic variation resided within the populations based on the coefficient of gene differentiation (Gst = 0.0573) and Analysis of Molecular Variance (AMOVA) (95%). It was therefore recommended that selection for the desired important economic traits for improvement and conservation should emphasize on individual trees within populations rather than among populations, and also ensure a comprehensive coverage of the entire ecological amplitude of the populations.

DOI: https://doi.org/10.1515/sg-2009-0003 | Journal eISSN: 2509-8934 | Journal ISSN: 0037-5349
Language: English
Page range: 20 - 28
Submitted on: Oct 24, 2007
Published on: Oct 19, 2017
Published by: Johann Heinrich von Thünen Institute
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2017 Chemulanga Josiah Chiveu, O. G. Dangasuk, M. E. Omunyin, F. N. Wachira, published by Johann Heinrich von Thünen Institute
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.