Author
Listed:
- Behnaz Yousefshahi
(Department of Soil Science, Faculty of Agriculture, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, Iran)
- Masoud Bazgir
(Department of Soil and Water Engineering, Faculty of Agriculture, Ilam University, Ilam, Iran)
- Samad Jamali
(Department of Plant Protection, Faculty of Agriculture, Razi University, Kermanshah, Iran)
- Fatemeh Valizadeh Kakhki
(Department of Soil and Water Engineering, Faculty of Agriculture, Ilam University, Ilam, Iran)
Abstract
Identification of ectomycorrhizal (ECM) fungi in different ecosystems has major significance. In this research, to identity ECM fungi, we used two methods including the morphological method and the molecular method that is more precise. Basidiocarp collection of fungi associated with oak tree (Quercus brantii Lindl.) roots was carried out in the spring season 2016 and was identified by morphological and molecular methods. We also checked macroscopic and microscopic features and measured each structure using BioloMICS Measures software. To verify the morphological identification, the internal transcribed spacer (ITS) region was amplified by PCR using the primer pair ITS1/ITS4, and the sequences were analyzed. According to the morphological observations, the identified species were Amanita crocea, Boletus comptus, Tricholoma giganteum, and Inocybe rimosa. Besides, based on molecular techniques by comparing sequences, we identified five species out of the eight ones as A. crocea and other species as T. giganteum, I. rimosa and B. comptus. Both morphological and molecular methods are necessary for identifying ECM fungi associated with tree roots in the Zagros zone in the west of Iran.
Suggested Citation
Behnaz Yousefshahi & Masoud Bazgir & Samad Jamali & Fatemeh Valizadeh Kakhki, 2020.
"Morphological and molecular identification of ectomycorrhizal fungi associated with Persian oak (Quercus brantii Lindl.) tree,"
Journal of Forest Science, Czech Academy of Agricultural Sciences, vol. 66(6), pages 244-251.
Handle:
RePEc:caa:jnljfs:v:66:y:2020:i:6:id:31-2020-jfs
DOI: 10.17221/31/2020-JFS
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