Open AccessStructure and genetic diversity of two populations of Garcinia kola Heckel (Clusiaceae) revealed by RAPD markers
Author(s) -
Kouamé Guillaume Koffi,
Any Olivier Komenan,
Koudoug Alice Estère Goba,
Bi Irié Arsène Zoro
Publication year - 2022
Publication title -
international journal of current research in biosciences and plant biology
Language(s) - English
Resource type - Journals
eISSN - 2349-8080
pISSN - 2349-8072
DOI - 10.20546/ijcrbp.2021.901.004
Subject(s) - garcinia kola , rapd , genetic diversity , biology , analysis of molecular variance , subspecies , clusiaceae , genetic variation , population , botany , adulterant , zoology , genetic structure , genetics , demography , biochemistry , sociology , gene
This study aims to characterize the genetic diversity of two populations of Garcinia kola using five RAPD markers in order to contribute to the development of sustainable management and conservation strategy for this species. Genomic Deoxyribonucleic acid (DNA) extracted from leaf fragments of 94 trees from two agroecological (south and west) zones according to Cethyl Trimethyl Ammonium Bromide (CTAB) protocol was analyzed. The mean number of alleles was ranged from 14.2 to 21.2 and the effective number of alleles ranged from 8.62 to 9.44. The average Shannon diversity index was ranged from 2.08 to 2.59 and the average genetic diversity was estimated to be 0.80. A total of 58 polymorphic bands were identified with a polymorphism rate of 100%. According to analysis of molecular variance the most important component of the genetic variation was obtained within population (94%). The analysis of the genetic diversity of all the trees revealed the existence of two groups composed of the trees from the two populations. In addition, genetic differentiation between the two populations was relatively moderate (Fst = 0.061). Sustainable management of G. kola trees should be achieved through in situ conservation. But for ex situ conservation it would be more practical to take as many individuals as possible within populations.