Identification of Cladosporium sp. fungi by in-silico RFLP-PCR

العناوين الأخرى

تشخيص أنواع الفطر Cladosporium sp. بواسطة تغاير قطع التقييد لتفاعل البلمرة المتسلسل (RFLP)‎ المحوسب

المؤلف

Khalil, Muhammad Ibrahim

المصدر

Baghdad Science Journal

العدد

المجلد 17، العدد 1 (sup) (31 مارس/آذار 2020)، ص ص. 220-226، 7ص.

الناشر

جامعة بغداد كلية العلوم للبنات

تاريخ النشر

2020-03-31

دولة النشر

العراق

عدد الصفحات

7

التخصصات الرئيسية

الطب البيطري

الملخص 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.

نمط استشهاد جمعية علماء النفس الأمريكية (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

نمط استشهاد الجمعية الأمريكية للغات الحديثة (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

نمط استشهاد الجمعية الطبية الأمريكية (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

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references : p. 226

رقم السجل

BIM-970027