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Using two retrotransposon-based marker systems (SRAP and REMAP) for genetic diversity analysis of Moroccan Argan tree

机译:使用基于一个基于Retransposon的标记系统(SRAP和REMAP)进行摩洛哥圆锥形树的遗传多样性分析

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摘要

The Argania is an endemic genetic resource in Morocco holding an important ecological and socio-economical benefit. However, overgrazing and overharvesting lead to a serious downturn in the number of trees. To characterize genetic diversity within and among 24 populations, represented by 240 argan trees, four combinations of SRAP primers and eight combinations of REMAP primers were used. A total of 338 REMAP and 146 SRAP markers were amplified with a polymorphism of 100%. The average polymorphism information content value was 0.20 and 0.17 for SRAP and REMAP markers, respectively. The analysis of molecular variance showed that 26% of the genetic variation was partitioned among populations. The coefficient of gene differentiation was 0.2875 and gene flow was 1.2391. The average parameter diversity was: observed number of alleles (Na)=0.729, effective number of alleles (Ne)=1.131, Shannon’s information index (I)=1.143; Nei’s gene diversity (H)=0.093 and Percentage of Polymorphic Loci=35.68. The STRUCTURE and principal coordinate analysis revealed that the Argania spinosa L. populations were aggregated into 2 genetic groups. To detect outlier, baysecan software was used and 21 were detected (7 under selection, 14 under balancing selection) presenting posterior probability higher than 0.79. The current results can be explored in the design of management programs and to comprehend the adaptation mechanism of Argan tree.
机译:Argania是摩洛哥的地方性遗传资源,举办了一个重要的生态和社会经济益处。然而,过度垂直和过度升起导致树木数量严重衰退。为了在240级圆锥树的240个雄树上表示的遗传多样性,使用SRAP引物的四种组合和八种倒映射引物组合。总共338个remap和146个Srap标记,其多态性为100%。对于SRAP和REGAP标记,平均多态性信息含量值分别为0.20和0.17。分子方差分析显示,26%的遗传变异在群体中被分配。基因分化系数为0.2875,基因流动为1.2391。平均参数分集是:观察到的等位基因数(NA)= 0.729,有效数量的等位基因(NE)= 1.131,香农信息指数(i)= 1.143; Nei的基因多样性(h)= 0.093和多态位置= 35.68的百分比。结构和主坐标分析显示,雄孢菌素L.群体聚集成2种遗传基团。要检测到异常值,使用了Baysecan软件,并检测到21(在选择下,在平衡选择下14),呈现高于0.79的后验概率。目前的结果可以在管理计划的设计中探索,并理解霍根树的适应机制。

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