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首页> 外文期刊>Metabolomics >Application of metabolomics to genotype and phenotype discrimination of birch trees grown in a long-term open-field experiment
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Application of metabolomics to genotype and phenotype discrimination of birch trees grown in a long-term open-field experiment

机译：代谢组学在长期露天试验中生长的桦树基因型和表型鉴别中的应用

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摘要

The principal objectives of the study were to develop metabolomics tool and to test its efficiency for discrimination and biochemical pattern recognition of genotypes and phenotypes of silver birch trees (Betula pendula Roth). In the experiment were used two birch genotypes (GT 2 and GT 5) that have been grown over seven years on the two open fields A and B. The metabolomics tool was applied also to study biochemical responses of the GT 2 to elevated (1.5 × ambient) concentration of ozone as an environmental stress factor. These trees were treated with ozone over seven years using an open-air exposure system. The developed metabolomics tool was based on the analyses of lipophilic and polar compounds of birch leaves with GC-MS and HPLC-DAD (polar phenolics only). The metabolome database included 331 chemical traits and was analyzed with descriptive and multivariate statistics. Application of cluster and principle component analyses clearly discriminated genetically different birch trees. In addition, the genotype clusters were further divided into two subclusters corresponding to trees from field A and field B. Formation of these phenotypes was due to the differences in some environmental conditions between the field A and field B. Biochemical discrimination between phenotypes of control and ozone-treated birch trees of GT 2 was found also. However, distances between these phenotypes, as well as between phenotypes of control trees from the field A and field B were found to be considerably smaller than between birch genotypes. Metabolites with the largest contribution to birch genotype/phenotype discrimination were determined and some were identified.
机译：该研究的主要目的是开发代谢组学工具，并测试其对白桦树（Betula pendula Roth）的基因型和表型的识别和生化模式识别的效率。在实验中，使用了两个桦树基因型（GT 2和GT 5），这些基因型在两个开放田A和B上生长了7年。代谢组学工具还用于研究GT 2对升高的生物化学反应（1.5×臭氧浓度作为环境压力因素。使用露天暴露系统对这些树木进行了长达七年的臭氧处理。所开发的代谢组学工具是基于使用GC-MS和HPLC-DAD（仅极性酚）对桦树叶片的亲脂性和极性化合物进行分析的结果。代谢组数据库包含331个化学特性，并通过描述性和多元统计分析。聚类和主成分分析的应用清楚地区分了遗传上不同的桦树。此外，基因型簇进一步分为两个亚群，分别对应于田A和田B的树木。这些表型的形成是由于田A和田B在某些环境条件上的差异所致。还发现了经过臭氧处理的GT 2桦树。但是，发现这些表型之间的距离以及来自田A和田B的对照树的表型之间的距离比桦木基因型之间的距离小得多。确定了对桦树基因型/表型歧视贡献最大的代谢物，并鉴定了其中的一些。

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  • 来源
    《Metabolomics》 |2008年第1期|39-51|共13页
  • 作者

    Vladimir Ossipov; Svetlana Ossipova; Valery Bykov; Elina Oksanen; Julia Koricheva; Erkki Haukioja;

  • 作者单位

    Laboratory of Organic Chemistry and Chemical Biology Department of Chemistry University of Turku Turku 20014 Finland;

    Laboratory of Organic Chemistry and Chemical Biology Department of Chemistry University of Turku Turku 20014 Finland;

    All Russian Institute for Medicinal and Aromatic Plants Grina 7 Moscow 117216 Russia;

    Faculty of Biosciences University of Joensuu POB 111 Joensuu 80101 Finland;

    School of Biological Sciences Royal Holloway University of London Egham Surrey TW20 0EX UK;

    Section of Ecology Department of Biology University of Turku Turku 20014 Finland;

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  • 原文格式 PDF
  • 正文语种 eng
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  • 关键词

    Metabolomics; GC-MS; HPLC-DAD; Silver birch; Biochemical response; Environmental stress; Ozone;

    机译：代谢组学;GC-MS;HPLC-DAD;白桦;生化响应;环境胁迫;臭氧;

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