Sakina BECHKRI is native from Constantine (Algeria). Currently, she is Professor of Genetics at the Faculty of Nature and Life Sciences at Constantine University. She is searcher in the laboratory of “Génétique biochimie et biotechnologies végétales” at Constantine University. His doctoral thesis is entitled: the genus Vicia L. in Algeria. Caracterization of 11 natural taxa: ecogeographic, morphological, biochemical and molecular approaches. She has three scientific publications (consult google scholar citations
Abstract
The study discusses the genetic diversity and phylogenetic relationships within and between 46 germplasms of Vicia from Algeria. These relations are put in evidence by morphological and molecular markers. For this purpose, 78 plant morphological traits and 4 ISSR markers were used. Diversity of plant morphology has been exploited by UPGMA cluster analysis and principal coordinate analysis, when diversity of ISSR profiles was assessed by cluster analysis using two indices (Dice and Jaccard). Mantel test was used to discuss the correlations between the two. Cluster analysis based on plant morphology revealed two major groups. The results of principal coordinate analysis supported UPGMA clustering. Concerning molecular data, one hundred and thirteen bands were detected, among these bands, 100% were polymorphic. Dice and Jaccard indices showed more or less close patterns in the dendrograms. Mantel test gave a strong correlation between the two indices. Groups generated by plant morphology correspond to the traditional delimitation of the genus. Classification at sectional level also join traditional placement. These findings support suggestions that V. sativa is an assemblage of taxa presenting an overlap in morphological traits. For the other taxa, the separation is sufficient to warrant distinct sectional status for the taxa studied. The primers used could be considered suitable for further variability studies in Vicia genus. However, they have some disadvantages which make their usefulness questionable