Identification of Cladosporium sp. fungi by in-silico RFLP-PCR
Other Title(s)
تشخيص أنواع الفطر Cladosporium sp. بواسطة تغاير قطع التقييد لتفاعل البلمرة المتسلسل (RFLP) المحوسب
Author
Source
Issue
Vol. 17, Issue 1 (sup) (31 Mar. 2020), pp.220-226, 7 p.
Publisher
University of Baghdad College of Science for Women
Publication Date
2020-03-31
Country of Publication
Iraq
No. of Pages
7
Main Subjects
Abstract EN
Cladosporium sp.
plays an important role in human health, it is one of the pathogenic fungi which cause allergy and asthma and most frequently isolated from airborne spores.
In this study, a couple of universal PCR primers were designed to identify the pathogenic fungi Cladosporium sp.
according to conserved region 5.8S, 18S and 28S subunit ribosomal RNA gene in Cladosporium species.
In silico RFLP-PCR were used to identify twenty-four Cladosporium strains.
The results showed that the universal primer has the specificity to amplify the conserved region in 24 species as a band in virtual agarose gel.
They also showed that the RFLP method is able to identify three Cladosporium species by specific and unique restriction enzymes for each one.
These species are Cl.
halotorenas by the two unique enzymes BsaXI and MobII, the other species is Cl.
colrandse by two enzymes BccI and BtsCI, while the third species is Cl.
aciculare by one enzyme BceAI.
Each enzyme forms two bands in virtual agarose gel as a results of cutting the DNA by the enzyme, where the rest twenty – two species share more than one restriction enzymes.
This method is active and rapid for identifying Cladosporium genus and three species by computational bases methods before applying it in the lab for more accuracy, efficiency, and specificity of designed primer to get good results in a short time.
American Psychological Association (APA)
Khalil, Muhammad Ibrahim. 2020. Identification of Cladosporium sp. fungi by in-silico RFLP-PCR. Baghdad Science Journal،Vol. 17, no. 1 (sup), pp.220-226.
https://search.emarefa.net/detail/BIM-970027
Modern Language Association (MLA)
Khalil, Muhammad Ibrahim. Identification of Cladosporium sp. fungi by in-silico RFLP-PCR. Baghdad Science Journal Vol. 17, no. 1 (Supplement) (Mar. 2020), pp.220-226.
https://search.emarefa.net/detail/BIM-970027
American Medical Association (AMA)
Khalil, Muhammad Ibrahim. Identification of Cladosporium sp. fungi by in-silico RFLP-PCR. Baghdad Science Journal. 2020. Vol. 17, no. 1 (sup), pp.220-226.
https://search.emarefa.net/detail/BIM-970027
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 226
Record ID
BIM-970027