New records of endophytic fungi isolated from oak trees in Kurdistan province (Iran)
Publish place: Botanical Journal of Iran، Vol: 16، Issue: 1
Publish Year: 1394
نوع سند: مقاله ژورنالی
زبان: English
View: 132
This Paper With 14 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_ROST-16-1_008
تاریخ نمایه سازی: 23 مهر 1401
Abstract:
Oak is the most important forest tree in Kurdistan province (Iran). Fungi are associated with oak trees as parasite, saprophyte and endophyte. The endophytic fungi are known components of biodiversity and have beneficial effects on host plants. During ۲۰۱۲-۱۳ in a survey on endophytic fungi of oak trees in forest regions of Kurdistan province asymptomatic samples were collected from healthy twigs, stems and leaves. Isolation were made by plating pieces of samples, after washing with distilled water and surface sterilization with ۷۰% ethanol, on Potato Dextrose Agar (PDA) supplemented with antibiotic. After incubation at ۲۵o C under constant darkness for two weeks ۶۷ isolates were obtained. Purification was made by transferring single spores to PDA plates. Based on morphological characters and ITS-rDNA sequence data, five species including Cladosporium tenellum, Paecilomyces formosus, Petriella guttulata, Preussia australis, and Sordaria sibutii were identified as new taxa for Iran mycobiota. All of these species are reported here as endophytic fungi from oak trees for the first time.
Keywords:
Authors
آسو حاجی زاده
MSc Student of Plant Pathology, Faculty of Agriculture, University of Kurdistan, Sanandaj, Iran
جهانشیر امینی
Associate Prof., Department of Plant Protection, Faculty of Agriculture, University of Kurdistan, Sanandaj, Iran (jamini@uok.ac.ir)
جعفر عبداله زاده
Assistant Prof., Department of Plant Protection, Faculty of Agriculture, University of Kurdistan, Sanandaj, Iran
مراجع و منابع این Paper:
لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :