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http://dx.doi.org/10.15616/BSL.2018.24.4.430

A Comparison of the Ability of Fungal Internal Transcribed Spacers and D1/D2 Domain Regions to Accurately Identify Candida glabrata Clinical Isolates Using Sequence Analysis  

Kang, Min-Ji (Department of Clinical Laboratory Science, College of Health Sciences, Catholic University of Pusan)
Choi, Yoon-Sung (Department of Clinical Laboratory Science, College of Health Sciences, Catholic University of Pusan)
Kim, Sunghyun (Department of Clinical Laboratory Science, College of Health Sciences, Catholic University of Pusan)
Abstract
Candida glabrata is the second most prevalent causative agent for candidiasis following C. albicans. The opportunistic yeast, C. glabrata, is able to cause the critical bloodstream infections in hospitalized patients. Conventional identification methods for yeasts are often time consuming and labor intensive. Therefore, recent studies on sequence-based identification have been conducted. Recently, sequencing the D1/D2 domain of the large subunit ribosomal RNA gene and the internal transcribed spacers (ITS) 1 and ITS2 regions of the ribosomal DNA has proven useful for DNA-based identification of most species of fungi. In the present study, therefore, fungal ITS and D1/D2 domain regions were targeted and analyzed by DNA sequencing for the accurate identification of C. glabrata clinical isolates. A total of 102 C. glabrata clinical isolates from various clinical samples including bloodstream, catheterized urine, bile and other body fluids were used in the study. The results of the DNA sequence analysis showed that the mean standard deviation of species identity percent score between ITS and D1/D2 domain regions was $97.8%{\pm}2.9$ and $99.7%{\pm}0.46$, respectively. These results revealed that the D1/D2 domain region might be a better target for identifying C. glabrata clinical isolates based on DNA sequences than the ITS1 and ITS2 regions. However, in order to evaluate the usefulness of D1/D2 domain region for species identification of all Candida species, other Candida species such as C. albicans, C. tropicalis, C. dubliniensis, and C. krusei should be verified in further studies additionally.
Keywords
Candida glabrata; Sequence analysis; D1/D2 domain; Internal transcribed spacers domain; Clinical isolates;
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1 Amanloo S, Shams-Ghahfarokhi M, Ghahri M, Razzaghi-Abyaneh M. Genotyping of Clinical Isolates of Candida glabrata from Iran by Multilocus Sequence Typing and Determination of Population Structure and Drug Resistance Profile. Med Mycol. 2018. 56:207-215.   DOI
2 Byun SA, Won EJ, Kim MN, Lee WG, Lee K, Lee HS, Uh Y, Healey KR, Perlin DS, Choi MJ, Kim SH, Shin JH. Multilocus Sequence Typing (MLST) Genotypes of Candida glabrata Bloodstream Isolatesin Korea: Association with Antifungal Resistance, Mutations in Mismatch Repair Gene (Msh2), and Clinical Outcomes. Front Microbiol. 2018. 9: 1-10.   DOI
3 Da Silva-Rocha WP, Lemos VL, Svidizisnki TI, Milan EP, Chaves GM. Candida species distribution, genotyping and virulence factors of Candida albicans isolated from the oral cavity of kidney transplant recipients of two geographic regions of Brazil. BMC Oral Health. 2014. 14: 20-28.   DOI
4 Garner CD, Starr JK, McDonough PL, Altier C. Molecular Identification of Veterinary Yeast Isolates by Use of Sequence-based Analysis of the D1/D2 Region of the Large Ribosomal Subunit. J Clin Microbiol. 2010. 48: 2140-2146.   DOI
5 Hesham AEL, Wambui V, Jo Ho, Maina JM. Phylogenetic Analysis of Isolated Biofuel Yeasts Based on 5.8 S-ITS rDNA and D1/D2 26S rDNA Sequences. J Genet Engineer Biotech. 2014. 12: 37-43.   DOI
6 Katiyar S, Shiffrin E, Shelton C, Healey K, Vermitsky JP, Edlind T. Evaluation of Polymorphic Locus Sequence Typing for Candida glabrata Epidemiology. J Clin Microbiol. 2016. 54: 1042-1050.   DOI
7 Kim HJ, Kim SH, Kim S, Yu YB, Kim YK. Genetic Variations of Candida albicans Isolated from Clinical Specimens Using Multi-locus Sequence Typing Analysis. Korean J Clin Lab Sci. 2018. 50: 331-336.   DOI
8 Pryce TM, Palladino S, Kay ID, Coombs GW. Rapid Identification of Fungi by Sequencing the ITS1 and ITS2 Regions Using an Automated Capillary Electrophoresis System. Med Mycol. 2003. 41: 369-381.   DOI