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天然居地紫柳(Salix purpurea L.)的遗传多样性与遗传关系。

Genetic Diversity and Genetic Relationships of Purple Willow (Salix purpurea L.) from Natural Locations.

机构信息

Department of Plant Breeding and Seed Production, University of Warmia and Mazury in Olsztyn, 10-724 Olsztyn, Poland.

Institute for Systematic Botany, Friedrich-Schiller-Universität Jena, 07743 Jena, Germany.

出版信息

Int J Mol Sci. 2017 Dec 30;19(1):105. doi: 10.3390/ijms19010105.

Abstract

In this study, the genetic diversity and structure of 13 natural locations of were determined with the use of AFLP (amplified length polymorphism), RAPD (randomly amplified polymorphic DNA) and ISSR (inter-simple sequence repeats). The genetic relationships between 91 examined genotypes were evaluated by analyses of molecular variance (AMOVA), principal coordinates analyses (PCoA) and UPGMA (unweighted pair group method with arithmetic mean) dendrograms for both single marker types and a combination of all marker systems. The locations were assigned to distinct regions and the analysis of AMOVA (analysis of molecular variance) revealed a high genetic diversity within locations. The genetic diversity between both regions and locations was relatively low, but typical for many woody plant species. The results noted for the analyzed marker types were generally comparable with few differences in the genetic relationships among locations. A combination of several marker systems could thus be ideally suited to understand genetic diversity patterns of the species. This study makes the first attempt to broaden our knowledge of the genetic parameters of the purple willow () from natural location for research and several applications, inter alia breeding purposes.

摘要

在这项研究中,使用 AFLP(扩增片段长度多态性)、RAPD(随机扩增多态性 DNA)和 ISSR(简单重复间序列多态性)确定了 13 个自然种群的遗传多样性和结构。通过分子方差分析(AMOVA)、主坐标分析(PCoA)和基于算术平均值的非加权对群聚类法(UPGMA)对 91 个检验基因型的遗传关系进行了评估,这些分析针对单一标记类型和所有标记系统的组合进行。将这些种群分配到不同的区域,AMOVA(分子方差分析)分析显示出种群内的高遗传多样性。两个区域和种群之间的遗传多样性相对较低,但这是许多木本植物物种的典型特征。分析标记类型的结果通常具有可比性,种群之间的遗传关系差异较小。因此,几种标记系统的组合非常适合于了解该物种的遗传多样性模式。这项研究首次尝试从自然种群扩大对()的遗传参数的认识,以便进行研究和多种应用,包括育种目的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f81/5796055/e0d4482673f3/ijms-19-00105-g001.jpg

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