Phytochemical diversity on essential oils from Myrtus communis leaves of different populations collected from Fars and Kohkeloyeh va Boyerahmad provinces

Subject Areas : Journal of Medicinal Herbs, "J. Med Herb" (Formerly known as Journal of Herbal Drugs or J. Herb Drug)

لیلا  مهرآور ¹ (گروه زیست گیاهی، دانشگاه آزاد اسلامی، علوم و تحقیقات فارس، شیراز، ایران)
غلامرضا  باژیان ² (گروه زیست گیاهی، دانشگاه آزاد اسلامی، علوم و تحقیقات فارس، شیراز، ایران)
عبدالله  قاسمی پیربلوطی ³ (گروه گیاهان دارویی، دانشکده کشاورزی، دانشگاه آزاد اسلامی واحد شهرکرد، شهرکرد، ایران؛ بخش تحقیقات گیاهان دارویی، کالج علوم طبیعی، دانشگاه ماساچوست، آمهرست، ماساچوست، 01003، آمریکا؛)
مجتبی  جعفرنیا ⁴ (گروه زیست گیاهی، دانشگاه آزاد اسلامی، علوم و تحقیقات فارس، شیراز، ایران؛)

Received: 2012-04-10 Accepted : 1995-06-16 Published : 2013-02-01

Keywords: Essential oil, chemotype, Myrtle, Natural habitats,

Abstract :

Background & Aim: Myrtle (Myrtus communis L.), is an important medicinal plant that is used for pharmacological uses and conservation of environments (for example preventing the soil erosion) regards to its specific condition habitat. Experimental: In this research, phytochemical variations of the essential oils from different populations of myrtle collected from Fars (Saydan, Cheshme-Ali, and Simakan), and Kohkeloyeh va Boyerahmad (Dehdasht and Gachsaran) provinces using GC-MS were analyzed. Results & Discussion: Results of GC/MS analysis indicated that α–pinene, 1,8–cineole, linalool, linalyl acetate, α–terpineol, and linalool oxide were the main components in the essential oils from all populations. The essential oils from the leaves of myrtle were characterized by high levels of oxygenated monoterpenes, hydrocarbon monoterpenes, phenylpropanoids and sesquiterpenes. Monoterpenes were the main constituents of the essential oil of the leaves of the collected plants. Cluster analysis based on Euclidean distance square by UPGMA method classified the samples into three groups. In this classification, samples referred to the Gachsaran and Dehdasht populations (Kohkeloyeh va Boyerahmad province), and the Saydan population (Fars province) were at the same group. Recommended applications/industries: Results indicated the main source of variability in chemical composition and oil yield of the studied populations seemed to be due to differences in environmental conditions and chemotypes.

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