NĚMCOVÁ, Eva, Michaela ČERNOCHOVÁ, Filip RŮŽIČKA, Barbora MALIŠOVÁ, Tomáš FREIBERGER and Petr NĚMEC. Rapid Identification of Medically Important Candida Isolates Using High Resolution Melting Analysis. Plos one. San Francisco: Public Library of Science, 2015, vol. 10, No 2, p. "nestránkováno", 15 pp. ISSN 1932-6203. doi:10.1371/journal.pone.0116940.
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Basic information
Original name Rapid Identification of Medically Important Candida Isolates Using High Resolution Melting Analysis
Authors NĚMCOVÁ, Eva (203 Czech Republic), Michaela ČERNOCHOVÁ (203 Czech Republic, belonging to the institution), Filip RŮŽIČKA (203 Czech Republic, belonging to the institution), Barbora MALIŠOVÁ (203 Czech Republic, belonging to the institution), Tomáš FREIBERGER (203 Czech Republic, guarantor, belonging to the institution) and Petr NĚMEC (203 Czech Republic).
Edition Plos one, San Francisco, Public Library of Science, 2015, 1932-6203.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 30300 3.3 Health sciences
Country of publisher United States of America
Confidentiality degree is not subject to a state or trade secret
WWW URL
Impact factor Impact factor: 3.057
RIV identification code RIV/00216224:14740/15:00084545
Organization unit Central European Institute of Technology
Doi http://dx.doi.org/10.1371/journal.pone.0116940
UT WoS 000350322700028
Keywords in English REAL-TIME PCR; BLOOD CULTURE BOTTLES; POLYMERASE-CHAIN-REACTION; SPECIES IDENTIFICATION; ANTIFUNGAL SUSCEPTIBILITY; MOLECULAR-IDENTIFICATION; INVASIVE CANDIDIASIS; FUNGAL PATHOGENS; CURVE ANALYSIS; ACCURATE IDENTIFICATION
Tags podil, rivok
Tags International impact, Reviewed
Changed by Changed by: Olga Křížová, učo 56639. Changed: 29. 4. 2016 16:20.
Abstract
An increasing trend in non albicans infections and various susceptibility patterns to antifungal agents implies a requirement for the quick and reliable identification of a number of medically important Candida species. Real-time PCR followed by high resolution melting analysis (HRMA) was developed, tested on 25 reference Candida collection strains and validated on an additional 143 clinical isolates in this study. All reference strains and clinical isolates inconclusive when using phenotypic methods and/or HRMA were analysed using ITS2 sequencing. Considering reference and clinical strains together, 23 out of 27 Candida species could be clearly distinguished by HRMA, while the remaining 4 species were grouped in 2 pairs, when applying the mean Tm +/- 3 SD values, the shape of the derivative melting curve (dMelt curve) and, in some cases, the normalized and temperature-shifted difference plot against C. krusei. HRMA as a simple, rapid and inexpensive tool was shown to be useful in identifying a wide spectrum of clinically important Candida species. It may complement the current clinical diagnostic approach based on commercially available biochemical kits.
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