Karimi L, Mirhendi H, Khodadadi H, Mohammadi R
Dr. Beheshti Hospital, Social Security Organization, Shiraz, Iran.
Department of Medical Parasitology and Mycology, School of Public Health, National Institute of Health Research, Tehran University of Medical Sciences, Tehran, Iran.
Curr Med Mycol. 2015 Jun;1(2):1-6. doi: 10.18869/acadpub.cmm.1.2.1.
By using advanced detection/identification methods, the list of emerging uncommon opportunistic yeast infections is rapidly expanding worldwide. Our aim in the present study was sequence-based species delineation of previously unidentified yeasts obtained from a clinically yeast collection.
A total of twenty three out of the 855 (5.7%) yeast isolates which formerly remained unidentified by PCR-RFLP method, were subjected to sequence analysis of the entire internal transcribed spacers (ITS) regions of rDNA. The precise species recognition was performed by the comparison of the sequences with the reliable GenBank database.
Sequencing analysis of the ITS region of the strains revealed several uncommon yeasts that were not reported previously in Iran. The species include , , and .
We identified several rare clinical isolates selected from a big collection at the species level by ITS-sequencing. As the list of yeast species as opportunistic human fungal infections is increasing dramatically, and many isolates remain unidentified using conventional methods, more sensitive and specific advanced approaches help us to clarify the aspects of microbial epidemiology of the yeast infections.
通过使用先进的检测/鉴定方法，全球范围内新出现的罕见机会性酵母菌感染种类正在迅速增加。我们在本研究中的目的是对从临床酵母菌样本中获得的先前未鉴定的酵母菌进行基于序列的物种分类。
在855株酵母菌分离物中，共有23株（5.7%）先前通过PCR-RFLP方法未能鉴定，对其核糖体DNA的整个内部转录间隔区（ITS）进行序列分析。通过将序列与可靠的GenBank数据库进行比较来进行精确的物种识别。
对菌株ITS区域的测序分析揭示了几种伊朗此前未报道过的罕见酵母菌。这些物种包括 、 、 和 。
我们通过ITS测序在物种水平上从大量样本中鉴定出了几种罕见的临床分离株。由于作为人类机会性真菌感染的酵母菌种类清单正在急剧增加，并且使用传统方法仍有许多分离株未被鉴定，更敏感和特异的先进方法有助于我们阐明酵母菌感染的微生物流行病学情况。
