Shahid Bahonar University of Kerman and Iranian Biotechnology Society Agricultural Biotechnology Journal 2228-6705 8 3 2016 11 21 Analysing Genetic Structure of Camelus dromedarius Using PCA and Hierarchical clustering methods Analysing Genetic Structure of Camelus dromedarius Using PCA and Hierarchical clustering methods 83 96 1549 10.22103/jab.2016.1549 FA Mehrdad Ghasemi Meymandi Graduate M. Sc. degree, Department of animal Science, Faculty of Agriculture, Shahid Bahonar University of Kerman, Kerman, Iran. Mohammad Reza Mohammadabadi Professor, Department of animal Science, Faculty of Agriculture, Shahid Bahonar University of Kerman, Kerman, Iran Mahdieh Montazeri Ph.D student, Department of animal Science, Faculty of Agriculture, Shahid Bahonar University of Kerman, Kerman, Iran. /Young Researchers Society, Shahid Bahonar University of Kerman, Kerman, Iran Journal Article 2016 08 16 Patterns in heritable molecular data can be used to summarize the relationships between populations of a species. In Iran, camels are providers of milk, meat and fibers. Using of 81 reproductive individuals belonging to five sampling locations of <em>Camelus dromedarius</em> in Kerman province, eight microsatellite markers (YWLL08, VOLP03, VOLP08, YWLL38, CVR01, YWLL44, VOLP32 and VOLP67) were analyzed to genetic structure and genetic distance in these populations. DNA extraction was conducted with optimized and modified salting-out method. The polymerase chain reactions for 81 individuals were successfully done with all primers and then amplification products were resolved on 8% polyacrylamid gel and stained with silver nitrate. The highest genetic distance obtained between Shahr-e Babak and Sahra-e Jahad (0.56) populations and the lowest genetic distance was observed between the two populations of Rafsanjan (0.11). Principal component analysis indicated that all samples could be mainly regrouped into three main clusters and most suitable number of genetic groups in dataset was explained. Results of this study indicated that in the first level of clustering, Shahr-e Babak, Rafsanjan1 and Rafsanjan 2 populations shared the same cluster and Shamshir Abad had another separate cluster while Sahra-e Jahad population appeared as an independent cluster. A similarity of geographical distribution was in good accordance with founded genetic relationships in this study.  Patterns in heritable molecular data can be used to summarize the relationships between populations of a species. In Iran, camels are providers of milk, meat and fibers. Using of 81 reproductive individuals belonging to five sampling locations of <em>Camelus dromedarius</em> in Kerman province, eight microsatellite markers (YWLL08, VOLP03, VOLP08, YWLL38, CVR01, YWLL44, VOLP32 and VOLP67) were analyzed to genetic structure and genetic distance in these populations. DNA extraction was conducted with optimized and modified salting-out method. The polymerase chain reactions for 81 individuals were successfully done with all primers and then amplification products were resolved on 8% polyacrylamid gel and stained with silver nitrate. The highest genetic distance obtained between Shahr-e Babak and Sahra-e Jahad (0.56) populations and the lowest genetic distance was observed between the two populations of Rafsanjan (0.11). Principal component analysis indicated that all samples could be mainly regrouped into three main clusters and most suitable number of genetic groups in dataset was explained. Results of this study indicated that in the first level of clustering, Shahr-e Babak, Rafsanjan1 and Rafsanjan 2 populations shared the same cluster and Shamshir Abad had another separate cluster while Sahra-e Jahad population appeared as an independent cluster. A similarity of geographical distribution was in good accordance with founded genetic relationships in this study.  https://jab.uk.ac.ir/article_1549_c88d8d0a6097754525e02c2246d8d27f.pdf