Publication Cover
Natural Product Research
Formerly Natural Product Letters
Volume 32, 2018 - Issue 23
298
Views
8
CrossRef citations to date
0
Altmetric
Research Articles

Chemical and biomolecular analyses to discriminate three taxa of Pistacia genus from Sardinia Island (Italy) and their antifungal activity

, , , ORCID Icon, , , , , , & show all
Pages 2766-2774 | Received 03 Jul 2017, Accepted 05 Sep 2017, Published online: 20 Sep 2017
 

Abstract

This work reports the results and the comparison concerning the chemical and biomolecular analyses and the antifungal activity of three wild Pistacia species (Anacardiaceae) from Sardinia. Volatile oils from leaves and twigs of Pistacia x saportae, Pistacia lentiscus and Pistacia terebinthus were characterised using GC-FID and GC-MS techniques and tested against some fungal strains. Two DNA nuclear regions (ITS and 5S-rRNA-NTS) were amplified through PCR technique and sequenced. The three **Pistacia have similar chemical profile, although there are some important quantitative differences. The analysis of ITS and 5S-rRNA-NTS regions, reveals a species-specific nucleotide variation among the three **taxa. This method could emerge as a powerful tool for the species identification, especially because the discrimination of these three **taxa appears difficult for non-expert botanists. Concerning the antifungal activity, P. lentiscus and P. x saportae show the highest activity against Cryptococcus neoformans, with a MIC value of 0.32 μL/mL.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 861.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.