Structural similarities of phytochemicals significantly contribute to species delimitation of Nigella and Garidella (Ranunculaceae)

Kaya Y., DEMİRCİ B., UĞURLU AYDIN Z., OYBAK DÖNMEZ E., Baser K. H. C., DÖNMEZ A. A.

Journal of Essential Oil Research, cilt.35, sa.1, ss.11-23, 2023 (SCI-Expanded) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 35 Sayı: 1
  • Basım Tarihi: 2023
  • Doi Numarası: 10.1080/10412905.2022.2147591
  • Dergi Adı: Journal of Essential Oil Research
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Business Source Elite, Business Source Premier, CAB Abstracts, Compendex, Food Science & Technology Abstracts, Veterinary Science Database
  • Sayfa Sayıları: ss.11-23
  • Anahtar Kelimeler: Cheminformatics, chemotaxonomy, Garidella, GC/MS, Nigella, volatile oils
  • Anadolu Üniversitesi Adresli: Evet

Özet

© 2022 Informa UK Limited, trading as Taylor & Francis Group.The genera Nigella and Garidella are two members of the Nigelleae tribe. Among all the taxa of the tribe, black cumin (Nigella sativa L.) is one of the most important plants concerning economic and medicinal uses. In this study, volatiles were analyzed in detail to elucidate the phytochemical profiles and to understand the taxonomic patterns of secondary metabolites for 19 taxa of Nigella and Garidella collected from Turkey and the neighboring countries. Volatiles were analyzed by gas chromatography (GC-FID) and gas chromatography-mass spectrometry (GC/MS) using different polarity columns. Seventeen Nigella and two Garidella taxa were investigated, with 130 volatile oil components characterized. Structural similarities of the compounds were clustered by a machine learning algorithm using the molecular fingerprinting method. Our results depict that the phytochemicals produced by Nigelleae can be classified independently of their chemical families and significantly contribute to genera delimitation by their structural distances.