Abstract The Essential Oils (EOs) present numerous chemophenetic applications, mostly at infrageneric rank. EOs utilization for this purpose has been questioned because of the external stimulations that control their chemodiversity and quantitative composition. Therefore, they are considered as a class of natural products with questionable systematic significance. Present study exploiting the recent advances on plant volatile biogenesis aims to reestablish and expand the EOs chemophenetic significance. The presented methodology translates EO composition in a biochemical profile, through the chemical structure classification of EOs compounds that links their presence with the activation of endogenous biochemical procedures. The Apiaceae supra-generic classification was utilized to test the proposed methodology. In specific, 44 Greek indigenous Apiaceae taxa, representing all 10 tribes of Apioideae subfamily were collected, distilled and analyzed. The herein applied approach was focused in tribal rank and revealed 10 biochemical entities established on the diversification of their fundamental metabolic routes and biosynthetic pathways activation. The generated biochemical profiles were proven compatible with phenotypic and phylogenetic approaches, but also separated all tribes of Apioideae. Therefore, the proposed methodology can be considered as a promising new systematic tool, which is able to exploit the vast availability of EOs composition data.

中文翻译：

---

挥发性系统学：对精油化合物的新生化解释增强了它们的化学表观意义

摘要 精油 (EOs) 存在多种化学表型应用，主要是在属下级别。由于控制其化学多样性和数量组成的外部刺激，因此为此目的使用 EO 已受到质疑。因此，它们被认为是一类具有可疑系统意义的天然产物。本研究利用植物挥发性生物发生的最新进展，旨在重建和扩大 EOs 的化学表观意义。所提出的方法通过将 EO 化合物的存在与内源性生化程序的激活联系起来的化学结构分类，将 EO 组成转化为生化概况。利用伞形科超属分类来测试所提出的方法。具体来说，收集、蒸馏和分析了代表伞形亚科所有 10 个部落的 44 个希腊土著伞形科分类群。本文应用的方法侧重于部落等级，并揭示了 10 个生化实体，它们建立在其基本代谢途径和生物合成途径激活的多样化上。生成的生化图谱被证明与表型和系统发育方法兼容，但也分离了 Apioideae 的所有部落。因此，所提出的方法可以被视为一种有前途的新系统工具，它能够利用 EOs 成分数据的大量可用性。本文应用的方法侧重于部落等级，并揭示了 10 个生化实体，它们建立在其基本代谢途径和生物合成途径激活的多样化上。生成的生化图谱被证明与表型和系统发育方法兼容，但也分离了 Apioideae 的所有部落。因此，所提出的方法可以被视为一种有前途的新系统工具，它能够利用 EOs 成分数据的大量可用性。本文应用的方法侧重于部落等级，并揭示了 10 个生化实体，它们建立在其基本代谢途径和生物合成途径激活的多样化上。生成的生化图谱被证明与表型和系统发育方法兼容，但也分离了 Apioideae 的所有部落。因此，所提出的方法可以被视为一种有前途的新系统工具，它能够利用 EOs 成分数据的大量可用性。