Showing 4 results for Cluster Analysis
Marzieh Beygom Faghir, Atefe Ahmadi Gorji, Mehdi Heydari,
Volume 4, Issue 2 (9-2017)
Abstract
Floral morphology of 24 species of the genus Alchemilla in Iran was studied by means of light and digital mi-croscopes. Flower samples were collected from different species and their morphological traits, including hypanthium, calyx, epicalyx, pedicels, ovaries and stamens, were measured. The most useful features for the separation of species were turned out to be the calyx shape and length, trichomes position on calyx and pedicle. Principal Component Anal-ysis (PCA) and Cluster Analysis (CA) were used to determine the potential contribution of floral morphological char-acters in the expression of species relationships. A total of 17 qualitative and quantitative characters were utilized in both analyses. The results of UPGMA and PCA methods were found to be consistent and in agreement with current classifications.
Maryam Abdoli Nasab, Mehdi Rahimi,
Volume 4, Issue 3 (12-2017)
Abstract
Thirty eight ecotypes of watermelon were collected from different parts of Iran. After the preparation of the field, these eotypes were cultivated in a completely randomized block design with three replications. In order to invest-igate genetic diversity, genomic DNA samples were extracted from leaves and Polymerase chain reactions were optimized using 14 SRAP primer pairs. One hundred thirty six polymorphic bands were detected, of which the EM10-Me4 was the most abundant primer pair with 19 bands and EM16-Me4 and EM16-Me14 were the least primer pairs with 7 bands. PIC index varied from 0.20 to 0.32 and genetic diversity was 0.17 to 0.28 on the basis of Nei index. Fisher's Linear Detection Analysis showed that the UPGMA method and the grouping accuracy of about 90% are more appropriate than other cluster analysis methods. Cluster analysis, using Jakard method, was performed and the ecotypes studied were classified into five distinct groups. Based on the PCA, the first and second components included 92.5% of the variation, which represents the proper distribution of the markers on the whole genome.
Somayeh Keypour, Hossein Riahi, Mostafa Ebadi, Ali Borhani, Mohammad Reza Asef Shayan, Naser Safaie,
Volume 5, Issue 4 (3-2019)
Abstract
The genus Ganoderma belongs to Polyporales, well-known for its medicinal properties and as a plant pathogen. The aim of this study was to identify the genetic variation between populations of two Ganoderma lucidum Karst. complex isolates using RAPD. For this purpose, four populations of G. resinaceum Boud. and eight populations of G. lucidum collected and purified during 2011-2012, were studied for the first time in Iran. Ten random primers were used for RAPD reaction. The result for RAPD-PCR studies of G. lucidum complex showed a wide range of diversity, as scores of 61.48 and 40.16 were estimated for the inter-specific diversity of G. lucidum and G. resinaceum, respectively. Cluster analysis confirmed the separation of two species populations in different clusters. In the analysis of genetic structure, two probable groups (K = 2) were identified in the studied germplasm which was also confirmed by the results of bar plot.
Atta Mouludi-Saleh, Soheil Eagderi, Shima Latif-Nejad, Manoochehr Nasri,
Volume 7, Issue 2 (7-2020)
Abstract
This study was conducted to understand the morphological variation of four populations of Schizothorax pelzami from Iranian inland waters. For this purpose, a total of 81 specimens were collected from the Bidvaz, Cheshmeh-Ali, Kalat and Aal rivers. After anesthesia, all specimens were fixed into buffered formalin and transferred to the laboratory. Then, the left sides of all individuals were photographed. To extract the body shape data, 14 landmarks-points were defined and digitized on 2D image using TpsDig2 software. To eliminate size, direction and position from data, the Generalized Procrustes Analysis (GPA) was performed. Then, PCA, MANOVA/CVA and cluster analysis were used for further investigation. The results showed that there was no significant difference but some overlapping among the studied populations on the basis of PCA analysis was observed. The CVA graph separated the studied populations from on another. The main differences in body shape of the studied populations were related to the position of the snout, the depth of head and body, and the length of caudal peduncle. The observed changes can be considered to be an adaptation to their habitat, which has been influenced by different environmental parameters.
