255
Views
4
CrossRef citations to date
0
Altmetric
Original Articles

Identification of Yeasts Isolated from Varieties of Apples and Citrus Using PCR-Fragment Size Polymorphism and Sequencing of ITS1–5.8S-ITS2 region

, , , &
Pages 252-265 | Published online: 01 Aug 2012
 

Abstract

Yeasts play a significant role in the nutrition industry, medicine, and biocontrol of plant pathogens. Certain isolates of yeasts act as antagonist agents in postharvest infections on fruits such as apples and citrus. The main goal of this study was identification of yeasts isolated from different types of Iranian apples and citrus using reliable molecular methods. For preliminary identification of the isolates, each of the internal transcribed spacer 1 (ITS1) and ITS2 regions of ribosomal DNA (rDNA) was amplified separately, and the mixture of both amplicons was electrophoresed on agarose gels. For final discrimination of the selected isolates the entire ITS1-ITS2 was sequenced followed by Blast analysis. The most common identified isolates were species belonged to the following genera: Rhodotorula, Torulaspora, Candida, Pichia, Metschnikowia, and Cryptococcus. Based on our results, PCR-FSP coupled to sequencing had important relevance for phylogenetic analysis to differentiate yeasts. Phylogenetic evaluation of yeasts isolated from fruits based on nucleotide sequences of ITS region of rDNA categorized 18 representative species in 10 distinct lineages. It is concluded that the molecular methods can be very efficient, useful, and precise tools for identification of yeasts.

ACKNOWLEDGMENTS

This work was supported by the Department of Plant Entomology and Plant Protection of Tehran University, Iran.

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 1,085.00 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.