Rahmani Mohammad-Shafie, Shabanian Naghi, Khadivi-Khub Abdollah, Woeste Keith E, Badakhshan Hedieh, Alikhani Leila
Laboratory of Forest Tree Biology and Biotechnology, Department of Forestry, Faculty of Natural Resources, University of Kurdistan, Khanagah Campus, Sanandaj 66177-1-5175, Iran; The Center for Research and Development of North-Zagros Forests, University of Kurdistan, Saghez Blvd., Baneh, Kurdistan 66919-1-4919, Iran.
Laboratory of Forest Tree Biology and Biotechnology, Department of Forestry, Faculty of Natural Resources, University of Kurdistan, Khanagah Campus, Sanandaj 66177-1-5175, Iran; The Center for Research and Development of North-Zagros Forests, University of Kurdistan, Saghez Blvd., Baneh, Kurdistan 66919-1-4919, Iran.
Gene. 2015 Nov 1;572(1):123-129. doi: 10.1016/j.gene.2015.07.001. Epub 2015 Jul 2.
Information about the natural patterns of genetic variability and their evolutionary bases are of fundamental practical importance for sustainable forest management and conservation. In the present study, the genetic diversity of 164 individuals from fourteen natural populations of Crataegus pontica K.Koch was assessed for the first time using three genome-based molecular techniques; inter-retrotransposon amplified polymorphism (IRAP); inter-simple sequence repeats (ISSR) and start codon targeted (SCoT) polymorphism. IRAP, ISSR and SCoT analyses yielded 126, 254 and 199 scorable amplified bands, respectively, of which 90.48, 93.37 and 83.78% were polymorphic. ISSR revealed efficiency over IRAP and SCoT due to high effective multiplex ratio, marker index and resolving power. The dendrograms based on the markers used and combined data divided individuals into three major clusters. The correlation between the coefficient matrices for the IRAP, ISSR and SCoT data was significant. A higher level of genetic variation was observed within populations than among populations based on the markers used. The lower divergence levels depicted among the studied populations could be seen as evidence of gene flow. The promotion of gene exchange will be very beneficial to conserve and utilize the enormous genetic variability.
遗传变异的自然模式及其进化基础的信息对于可持续森林管理和保护具有根本的实际重要性。在本研究中，首次使用三种基于基因组的分子技术对来自14个山楂自然种群的164个个体的遗传多样性进行了评估；反转录转座子间扩增多态性（IRAP）；简单序列重复区间（ISSR）和起始密码子靶向（SCoT）多态性。IRAP、ISSR和SCoT分析分别产生了126、254和199个可评分的扩增条带，其中90.48%、93.37%和83.78%是多态性的。由于高效多重率、标记指数和分辨能力高，ISSR显示出优于IRAP和SCoT的效率。基于所用标记和组合数据的树状图将个体分为三个主要类群。IRAP、ISSR和SCoT数据的系数矩阵之间的相关性显著。基于所用标记，观察到种群内的遗传变异水平高于种群间。在所研究种群中描绘的较低分化水平可被视为基因流动的证据。促进基因交换将非常有利于保护和利用巨大的遗传变异性。
