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Effectiveness of fine root fingerprinting as a tool to identify plants of the Alps: Results of a preliminary study

机译:细根指纹作为识别阿尔卑斯植物的工具的有效性:初步研究的结果

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To identify plants of the Alps through analysis of their roots is currently extremely difficult when using traditional identification methods such as dichotomous keys and/or illustrated atlases. Besides genetic analysis, other analytical methods, such as chromatographic analysis, could also be useful for root identification. Chromatographic fingerprints of root extracts of six species (Betula pendula, Picea abies, Fagus sylvatica, Larix decidua, Fraxinus excelsior and Corylus avellana) were analyzed in order to understand whether these species have a chromatographic fingerprint that identifies them, and hence to ascertain whether they can be identified by applying the method of analysis presented below. One hundred and sixty-two root samples were collected in various areas of the Alps and subjected to high-performance liquid chromatography (HPLC) analysis. Multivariate analysis techniques (e.g. cluster analysis) were employed for statistical analysis of chromatographic fingerprints. This study revealed that the chromatographic fingerprints of birch, spruce and larch samples were similar and that the method can therefore clearly identify the respective species. Instead, chromatographic fingerprint samples of beech, hazel and ash presented greater variability. Research proposals based on the results obtained in this study were also developed in order to implement and facilitate studies regarding plant roots.
机译:通过分析其根部识别阿尔卑斯族的植物,当时使用传统识别方法(如二分键和/或插图的地图)时,目前非常困难。除了遗传分析外,其他分析方法如色谱分析,也可用于根鉴定。分析了六种物种(Betula pendula,Picea,Fagus Sylvatica,Larix Decidela,Fraxinus Excelsior和Corylus Avellana)的色谱指纹,以了解这些物种是否具有识别它们的色谱指纹,从而确定是否它们可以通过应用下面提出的分析方法来识别。在阿尔卑斯山的各个区域中收集一百六十二根的根样品,并进行高效液相色谱(HPLC)分析。多变量分析技术(例如聚类分析)用于色谱指纹的统计分析。该研究表明,桦木,云杉和落叶松样品的色谱指纹相似,因此该方法可以清楚地识别各种物种。相反,山毛榉,榛子和灰分的色谱指纹样本呈现出更大的变化性。还制定了基于本研究中获得的结果的研究提案,以便实施和促进有关植物根部的研究。

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