Journal of Medicinal Plants Biotechnology

Abstract Fennel (Foeniculum vulgare Mill.) is one the oldest known medicinal plants, which is naturally and
commercially grown in Iran and many parts of the world. In this study, the genetic variation of 17 Iranian
fennel ecotypes were investigated by ISSR molecular marker. The ISSR markers produced a total of 51
genomic DNA segments, of which 45 bands were polymorphic. The mean polymorphism per primer, mean
Polymorphic Index Content (PIC), and Marker Index (MI) were 9, 0.478 and 5.92, respectively. The
dendrogram was constructed using UPGMA method and Jaccard’s similarity matrix. The ecotypes were
grouped under three main groups. The 2D and 3D PCoA analysis confirmed the results of the cluster analysis.
The results indicated that the studied ecotypes had meaningful genetic diversity, and the genetic grouping
using ISSR markers was correlated with the geographical distribution of the genotypes. This study could
improve the knowledge about the Iranian fennel genetic pool, and contribute to breeding and germplasm
protection programs of medicinal plants.

Abstract To evaluate the genetic diversity of fifteen ajowan population, 15 RAPD primer(s) were used. Minimum allele (4) were dectected in TIBMBC02, TIBMBA06 and TIBMBC06 primers and maximum (11) in TIBMBC09 primer. The highest diversity index (0.9) was belong to TIBMBC09 primer and the lowest (0.4) blong to TIBMBC12 Primer, The highest Marker Index (9.07) was belong to TIBMBA09 and the lowest (1.63) belong to TIBMBA06, the most Ne allele, Shanon diversity and Nei diversity (1.9, 0.673 and 0.48 respectively) was belone to TIBMBA12 primer and the lowest Ne allele, Shanon diversity and Nei diversity (1.15, 0.258 and 0.134 respectively) was belone to TIBMBA09 primer. On the basis of the Nei and Li and Jaccard similarity, The lowest similarity was belong to C. copticum of Ardabil with Boroujerd, Qom and Boshrooyeha. Partitioning variations within and between populations, using an analysis of molecular variance (AMOVA), showed that 15% and 85% of the total genetic variation existed between and within growing regions, respectively. Cluster analysis based on Nei and Li and Jaccard similarity matrix and UPGMA method showed an avegrage relationship between genetic distance and the geographical grouping of Ajowan.

Abstract