|
|
|
| Authors: | S.M. Samaee, Z.S. Shobbar, H. Ashrafi, M. Hosseini-Mazinani, M. Sheidai |
| Keywords: | Olea europea L. Cultivars, Cluster Analysis, PCA |
Abstract:
Iran retains age-old, local cultivars of olive.
These cultivars have not yet been systematically evaluated and classified for their genetic relationships.
Following phenotypic traits evaluation, Random Amplified Polymorphic DNA (RAPD) analysis was performed on thirteen genotypes from ten main traditional cultivars of olive grown in Iran.
A high level of polymorphism was observed in the olive germplasm include in the study.
Reproducible amplification fragments were identified using 19 selected decamer oligonucleotide random primers followed by agarose gel electrophoresis.
These primers gave a total of 190 reproducible fragments from which 153 (~80.00%) were useful as polymorphic bands with an average of eight RAPD markers obtained for each primer.
Cultivar-specific markers were also found.
A dendrogram, based on the unweighted pair group mean average (UPGMA) method of cluster analysis, was constructed using a similarity matrix derived from the RAPD amplification generated by the selected primers.
Cluster analysis revealed presence of two well-defined groups.
The first group contains Northern genotypes and is comprised of two sub-clusters.
Sub-cluster I is comprised of Mari, Fishomi, Zard, Rowghani and Gorgan cultivars.
Sub-cluster II includes only the Shengeh cultivar.
The second major group contains Southern genotypes and is comprised of two sub-clusters.
Sub-cluster I is comprised of Dezful, Zard and Shiraz cultivars.
Sub-cluster II includes Rashid and Janoob cultivars.
With the exception of Zard genotypes, the dendrogram showed a good correlation between the banding pattern of olive cultivars and their geographic origin.
Also, variation among Zard genotypes was revealed.
Ordination of olive cultivars on the first two principal components supported the clustering results.
Also, in this study ordination based on PCs axes was more successful than ordination from factors axes.
Results of PCs axes base ordination have better correlation with geographical distribution.
|
Download Adobe Acrobat Reader (free software to read PDF files) |
|