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   genetic diversity and population structure of iranian ephedra major  
   
نویسنده ghanbari hamedani somayeh ,asri younes ,mehregan iraj
منبع رستنيها - 2020 - دوره : 21 - شماره : 2 - صفحه:231 -247
چکیده    As a highly valuable source of ephedrine, ephedra major is welladapted to various habitats in iran. over the last few decades, human’s activity, in particular, over exploitation of its populations to extract medicinally valuable constitutes, have endangered this species. in this investigation, the level of genetic diversity and genetic structure in 16 natural populations of e. major for the very first time have been assessed utilizing molecular markers, intersimple sequence repeat (issr). a high level of genetic diversity was revealed among the population where dehbar region (khorasan razavi province, iran) exhibited the highest quantity of genetic parameters (p = 67.96%, h = 0.365 236, i = 0.365). intrapopulation genetic diversity (71%) was significantly higher than interpopulation genetic diversity (29%) and only 1% genetic diversity amongregions. the unweighted pair group method with arithmetic mean (upgma) and bayesian clustering methods indicated the presence of a relatively strong population structure and to some extent in accordance with the geographical origin of populations. however, the success of upgma in grouping populations in congruence with their geographical location was more tangible. from the outcomes of this study, it could be asserted that, issr markers are effective in detecting the pattern of genetic diversity in e. major populations. on the other hand, by having reliable knowledge of the status of genetic diversity and structure of populations of this species, the first steps can be taken to protect populations with low genetic diversity, and also pave the way for breeding programs to finding and selection of superior populations.
کلیدواژه ephedraceae ,clustering ,conservation ,genetic distance ,issr
آدرس islamic azad university, science and research branch, department of biology, iran, agricultural research education and extension organization (areeo), institute of forests and rangelands, iran, islamic azad university, science and research branch, department of biology, iran
پست الکترونیکی iraj@daad-alumni.de
 
   Genetic diversity and population structure of Iranian Ephedra major  
   
Authors Ghanbari Hamedani Somayeh ,Asri Younes ,Mehregan Iraj
Abstract    As a highly valuable source of ephedrine, Ephedra major is welladapted to various habitats in Iran. Over the last few decades, human’s activity, in particular, over exploitation of its populations to extract medicinally valuable constitutes, have endangered this species. In this investigation, the level of genetic diversity and genetic structure in 16 natural populations of E. major for the very first time have been assessed utilizing molecular markers, intersimple sequence repeat (ISSR). A high level of genetic diversity was revealed among the population where Dehbar region (Khorasan Razavi province, Iran) exhibited the highest quantity of genetic parameters (P = 67.96%, H = 0.365 236, I = 0.365). Intrapopulation genetic diversity (71%) was significantly higher than interpopulation genetic diversity (29%) and only 1% genetic diversity amongregions. The unweighted pair group method with arithmetic mean (UPGMA) and Bayesian clustering methods indicated the presence of a relatively strong population structure and to some extent in accordance with the geographical origin of populations. However, the success of UPGMA in grouping populations in congruence with their geographical location was more tangible. From the outcomes of this study, it could be asserted that, ISSR markers are effective in detecting the pattern of genetic diversity in E. major populations. On the other hand, by having reliable knowledge of the status of genetic diversity and structure of populations of this species, the first steps can be taken to protect populations with low genetic diversity, and also pave the way for breeding programs to finding and selection of superior populations.
Keywords ISSR
 
 

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