اخبار و اعلانات

 آمار

تعداد نشریات282
تعداد نشریات سازمان80
تعداد شماره‌ها3,230
تعداد مقالات35,784
تعداد مشاهده مقاله54,008,678
تعداد دریافت فایل اصل مقاله93,167,351
Taqi AL-Khazali, M, Mousa Hassan, B, Ahmed AbedIbrahim, S. (1402). Molecular Identification of Candida albicans and C. dubliniensis Using Small Subunit rRNA Gene Sequence in Kerbala, Iraq. سامانه مدیریت نشریات علمی, 78(3), 1035-1040. doi: 10.22092/ari.2022.360086.2546
M Taqi AL-Khazali; B Mousa Hassan; S Ahmed AbedIbrahim. "Molecular Identification of Candida albicans and C. dubliniensis Using Small Subunit rRNA Gene Sequence in Kerbala, Iraq". سامانه مدیریت نشریات علمی, 78, 3, 1402, 1035-1040. doi: 10.22092/ari.2022.360086.2546
Taqi AL-Khazali, M, Mousa Hassan, B, Ahmed AbedIbrahim, S. (1402). 'Molecular Identification of Candida albicans and C. dubliniensis Using Small Subunit rRNA Gene Sequence in Kerbala, Iraq', سامانه مدیریت نشریات علمی, 78(3), pp. 1035-1040. doi: 10.22092/ari.2022.360086.2546
Taqi AL-Khazali, M, Mousa Hassan, B, Ahmed AbedIbrahim, S. Molecular Identification of Candida albicans and C. dubliniensis Using Small Subunit rRNA Gene Sequence in Kerbala, Iraq. سامانه مدیریت نشریات علمی, 1402; 78(3): 1035-1040. doi: 10.22092/ari.2022.360086.2546

Molecular Identification of Candida albicans and C. dubliniensis Using Small Subunit rRNA Gene Sequence in Kerbala, Iraq

Archives of Razi Institute
مقاله 32، دوره 78، شماره 3، مرداد و شهریور 2023، صفحه 1035-1040    اصل مقاله (492.43 K)
نوع مقاله: Original Articles
شناسه دیجیتال (DOI): 10.22092/ari.2022.360086.2546
نویسندگان
M Taqi AL-Khazali* 1؛ B Mousa Hassan2؛ S Ahmed AbedIbrahim3
1Department of Biology, College of Science, University of Kerbala, Kerbala, Iraq
2Department of Biology, College of Education, University of Kerbala, Kerbala, Iraq
3College of Pharmacy, University of Kerbala, Kerbala, Iraq
چکیده
This study was conducted to confirm the phenotypic diagnosis of two Candida species, including Candida albicans (C. albicans) and Candida dubliniensis (C. dubliniensis). They were previously isolated in another study from cases of oral candidiasis using polymerase chain reaction and determining the nitrogenous base sequences of the 18 SrRNA product duplication using the NS1 and NS8 primers. The sequences of the multiple bases were analyzed using the Basic Local Alignment Search Tool program (BLAST), which proved that the two diagnosed Candida strains belong to two species, including C. albicans and C. dubliniensis, respectively. Additionally, the comparison of these sequences to the data available in the National Center for Biotechnology Information (NCBI) database showed that C. albicans strains in this study were 99% similar to the universal strains of C. albicans from Japan, Brazil, the United States, Germany, India, China, Pakistan, and Egypt. The C. dubliniensis strains in this study also had the highest genetic similarity rate of 99% to the C. dubliniensis strains isolated from the United States, Netherlands, France, and Germany. The study strains were recorded in the GenBank database with the sequence codes MZ574137 and MZ574410.1 for C. albicans and C. dubliniensis, respectively. The results of the 18 SrRNA region’s duplication also showed variations between C. albicans and C. dubliniensis, represented by the presence of three mutations of the first type and two mutations in the second type at different sequence sites.
کلیدواژه‌ها
BLAST؛ Candida albicans؛ Candida dubliniensis؛ NCBI
سایر فایل های مرتبط با مقاله
مراجع
  1. Mayer FL, Wilson D, Hube B. Candida albicans pathogenicity mechanisms. Virulence. 2013;4(2):119-28.
  2. Miceli MH, Diaz JA, Lee SA. Emerging opportunistic yeast infections. Lancet Infect Dis. 2011;11(2):142-51.
  3. Wu J-Q, Zhu L-P, Ou X-T, Xu B, Hu X-P, Wang X, et al. Epidemiology and risk factors for non-Candida albicans candidemia in non-neutropenic patients at a Chinese teaching hospital. Med Mycol. 2011;49(5):552-5.
  4. Mirhendi H, Makimura K, Zomorodian K, Maeda N, Ohshima T, Yamaguchi H. Differentiation of Candida albicans and Candida dubliniensis using a single-enzyme PCR-RFLP method. Jpn J Infect Dis. 2005;58(4):235.
  1. Shariff FM. Classification and division of fungi. Memory for puplishing and distribution. Iraq. 2012. p. 278.
  2. Asadzadeh M, Ahmad S, Al-Sweih N, Khan Z. Rapid and Accurate Identification of Candida albicans and Candida dubliniensis by Real-Time PCR and Melting Curve Analysis. Med Princ Pract. 2018;27(6):543-8.
  3. Aslam S, Tahir A, Aslam MF, Alam MW, Shedayi AA, Sadia S. Recent advances in molecular techniques for the identification of phytopathogenic fungi – a mini review. J Plant Interact. 2017;12(1):493-504.
  4. Sarhan ART. Practical mycology. Baghdad. 2012.
  5. Ban Taha M, Zakra Mohammad Kazem A-M, Kansa Abdolhossein EA-A. Morphological and molecular isolation and diagnosis of Candida albicans from mouth and dipers of in fants in hospital of children. J Kerbala Univ. 2016;14(4).
  6. Chan GF, Sinniah S, Idris TI, Puad MS, Abd Rahman AZ. Multiple rare opportunistic and pathogenic fungi in persistent foot skin infection. Pak J Biol Sci. 2013;16(5):208-18.
  7. Haase G, Sonntag L, van de Peer Y, Uijthof JM, Podbielski A, Melzer-Krick B. Phylogenetic analysis of ten black yeast species using nuclear small subunit rRNA gene sequences. Antonie Van Leeuwenhoek. 1995;68(1):19-33.
  8. Imran ZK, Al-Asadi YF. Comparison of 25S and 18S primers for estimating clinical isolates of Candida diversity and evaluate their virulence in eyes infections in Iraq. Appl Sci Report. 2015;9:166-71.
  9. White TJ, Bruns T, Lee S, Taylor J. Amplification and direct sequencing of fungal ribosomal RNA genes for phylogenetics. PCR protocols: a guide to methods applications. 1990;18(1):315-22.
14.          Khot PD, Ko DL, Fredricks DN. Sequencing and analysis of fungal rRNA operons for development of broad-range fungal PCR assays. Appl Environ Microbiol. 2009;75(6):1559-65.

آمار
تعداد مشاهده مقاله: 2,536
تعداد دریافت فایل اصل مقاله: 7,342


counter
سامانه مدیریت نشریات علمی. طراحی و پیاده سازی از سیناوب