@ARTICLE{TreeBASE2Ref29144,
author = {Nayyereh Alimadadi and Hamid Reza Pourianfar and Mohammad Ali Amoozegar and Seyyed Sajad Zabihi and Valiollah Mahdizadeh and Seyed Abolhassan Shahzadeh Fazeli},
title = {Molecular identification of some wild medicinal macrofungi from Northern Iran},
year = {2019},
keywords = {Internal transcribed spacer region, Iran, Macrofungi, Mazandaran province },
doi = {},
url = {http://},
pmid = {},
journal = {Mycosphere},
volume = {},
number = {},
pages = {},
abstract = {In last decades, macrofungi have attracted increasing attention because of their beneficial nutritional and medicinal properties. In this study, a total of 181 macrofungal samples were collected from forests in Mazandaran province, Iran. Pure mycelial cultures were successfully obtained from 91 collected samples. Regarding morphological data, 47 isolates were selected for molecular identification based on internal transcribed spacer region (ITS) sequence analysis. The results showed that the 38 macrofungal isolates were belonging to 22 species, 19 genera, 10 families and 5 orders. Most of the macrofungi (47%) were identified as Trametes and Ganoderma species. Three isolates identified as Hohenbuehelia sp., Polyporellus brumalis and Ceriporia lacerata were new records for Iran fungal flora. This study increases the knowledge on Iranian macrofungal diversity and facilitates future genetic and biotechnological investigations on these macrofungi.}
}
Citation for Study 23746
Citation title:
"Molecular identification of some wild medicinal macrofungi from Northern Iran".
Study name:
"Molecular identification of some wild medicinal macrofungi from Northern Iran".
This study is part of submission 23746
(Status: Published).
Citation
Alimadadi N., Pourianfar H., Amoozegar M., Zabihi S., Mahdizadeh V., & Shahzadeh fazeli S. 2019. Molecular identification of some wild medicinal macrofungi from Northern Iran. Mycosphere, .
Authors
-
Alimadadi N.
(submitter)
-
Pourianfar H.
-
Amoozegar M.
-
Zabihi S.
-
Mahdizadeh V.
-
Shahzadeh fazeli S.
Abstract
In last decades, macrofungi have attracted increasing attention because of their beneficial nutritional and medicinal properties. In this study, a total of 181 macrofungal samples were collected from forests in Mazandaran province, Iran. Pure mycelial cultures were successfully obtained from 91 collected samples. Regarding morphological data, 47 isolates were selected for molecular identification based on internal transcribed spacer region (ITS) sequence analysis. The results showed that the 38 macrofungal isolates were belonging to 22 species, 19 genera, 10 families and 5 orders. Most of the macrofungi (47%) were identified as Trametes and Ganoderma species. Three isolates identified as Hohenbuehelia sp., Polyporellus brumalis and Ceriporia lacerata were new records for Iran fungal flora. This study increases the knowledge on Iranian macrofungal diversity and facilitates future genetic and biotechnological investigations on these macrofungi.
Keywords
Internal transcribed spacer region, Iran, Macrofungi, Mazandaran province
External links
About this resource
- Canonical resource URI:
http://purl.org/phylo/treebase/phylows/study/TB2:S23746
- Other versions:
Nexus
NeXML
- Show BibTeX reference
@ARTICLE{TreeBASE2Ref29144,
author = {Nayyereh Alimadadi and Hamid Reza Pourianfar and Mohammad Ali Amoozegar and Seyyed Sajad Zabihi and Valiollah Mahdizadeh and Seyed Abolhassan Shahzadeh Fazeli},
title = {Molecular identification of some wild medicinal macrofungi from Northern Iran},
year = {2019},
keywords = {Internal transcribed spacer region, Iran, Macrofungi, Mazandaran province },
doi = {},
url = {http://},
pmid = {},
journal = {Mycosphere},
volume = {},
number = {},
pages = {},
abstract = {In last decades, macrofungi have attracted increasing attention because of their beneficial nutritional and medicinal properties. In this study, a total of 181 macrofungal samples were collected from forests in Mazandaran province, Iran. Pure mycelial cultures were successfully obtained from 91 collected samples. Regarding morphological data, 47 isolates were selected for molecular identification based on internal transcribed spacer region (ITS) sequence analysis. The results showed that the 38 macrofungal isolates were belonging to 22 species, 19 genera, 10 families and 5 orders. Most of the macrofungi (47%) were identified as Trametes and Ganoderma species. Three isolates identified as Hohenbuehelia sp., Polyporellus brumalis and Ceriporia lacerata were new records for Iran fungal flora. This study increases the knowledge on Iranian macrofungal diversity and facilitates future genetic and biotechnological investigations on these macrofungi.}
}
- Show RIS reference
TY - JOUR
ID - 29144
AU - Alimadadi,Nayyereh
AU - Pourianfar,Hamid Reza
AU - Amoozegar ,Mohammad Ali
AU - Zabihi,Seyyed Sajad
AU - Mahdizadeh,Valiollah
AU - Shahzadeh Fazeli,Seyed Abolhassan
T1 - Molecular identification of some wild medicinal macrofungi from Northern Iran
PY - 2019
KW - Internal transcribed spacer region
KW - Iran
KW - Macrofungi
KW - Mazandaran province
UR - http://dx.doi.org/
N2 - In last decades, macrofungi have attracted increasing attention because of their beneficial nutritional and medicinal properties. In this study, a total of 181 macrofungal samples were collected from forests in Mazandaran province, Iran. Pure mycelial cultures were successfully obtained from 91 collected samples. Regarding morphological data, 47 isolates were selected for molecular identification based on internal transcribed spacer region (ITS) sequence analysis. The results showed that the 38 macrofungal isolates were belonging to 22 species, 19 genera, 10 families and 5 orders. Most of the macrofungi (47%) were identified as Trametes and Ganoderma species. Three isolates identified as Hohenbuehelia sp., Polyporellus brumalis and Ceriporia lacerata were new records for Iran fungal flora. This study increases the knowledge on Iranian macrofungal diversity and facilitates future genetic and biotechnological investigations on these macrofungi.
L3 -
JF - Mycosphere
VL -
IS -
ER -