Norouzi Ghare Tapeh, R., Bernousi, I., Fayaz Moghadam, A., Abdollahi Mandoulakani, B. (2018). Genetic Diversity and Structure of Iranian Teucrium (Teucrium polium L.) Populations Assessed by ISSR Markers. , 20(2), 333-345.
R. Norouzi Ghare Tapeh; I. Bernousi; A. Fayaz Moghadam; B. Abdollahi Mandoulakani. "Genetic Diversity and Structure of Iranian Teucrium (Teucrium polium L.) Populations Assessed by ISSR Markers". , 20, 2, 2018, 333-345.
Norouzi Ghare Tapeh, R., Bernousi, I., Fayaz Moghadam, A., Abdollahi Mandoulakani, B. (2018). 'Genetic Diversity and Structure of Iranian Teucrium (Teucrium polium L.) Populations Assessed by ISSR Markers', , 20(2), pp. 333-345.
Norouzi Ghare Tapeh, R., Bernousi, I., Fayaz Moghadam, A., Abdollahi Mandoulakani, B. Genetic Diversity and Structure of Iranian Teucrium (Teucrium polium L.) Populations Assessed by ISSR Markers. , 2018; 20(2): 333-345.

Genetic Diversity and Structure of Iranian Teucrium (Teucrium polium L.) Populations Assessed by ISSR Markers

Journal of Agricultural Science and Technology
Article 11, Volume 20, Issue 2, 2018, Pages 333-345    PDF (841.25 K)
Authors
R. Norouzi Ghare Tapeh1; I. Bernousi* 1, 2; A. Fayaz Moghadam1; B. Abdollahi Mandoulakani1
1Department of Plant Breeding and Biotechnology, Faculty of Agriculture, Urmia University, Urmia, Islamic Republic of Iran.
2Department of Agricultural Biotechnology, Institute of Biotechnology, Urmia University, Urmia, Islamic Republic of Iran.
Abstract
Understanding of genetic diversity is essential in breeding programs and plant genetic resources management. In this study, the genetic diversity of 77 individuals of Teucrium from different regions of Iran was investigated using 18 ISSR markers. A total number of 198 bands were detected by ISSR primers, of which 184 (92.9%) bands with an average of 10.2 bands per primer were polymorphic. The Percentage of Polymorphic bands (PPL) ranged from 80 (UBC834) to 100% (UBC811, 812, 818, 820, 825, 826, and UBC855). The average Polymorphic Information Content (PIC), Shannon’s Information index (I), and Number of effective alleles (Ne) were 0.39, 0.526, and 1.6, respectively. The Analysis of Molecular Variance (AMOVA) revealed the higher level of genetic variation within populations (77%) compared to among populations (23%). Cluster analysis separated the individuals into three major groups using WPGMA based on Nei’s genetic distance coefficients. In addition, a model-based Bayesian approach subdivided the individuals into three major subgroups. The results of this study revealed that estimation of population genetics parameters using ISSR markers can be applied for assessing the differences between Teucrium populations and management of the genetic resources.
Keywords
AMOVA; Model-based cluster; Shannon'; s information index; Teucrium polium L
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