Development of a novel, simple and rapid molecular identification system for clinical<i>Candida</i>species

Deák, Róbert; Bodai, László; Aarts, H.J.M.; Maráz, Anna

doi:10.1080/13693780310001624574

Cited by 11 publications

(8 citation statements)

References 22 publications

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“…With our work, we added a new dimension to the fundamental work of Deak et al. (2004), who have applied this method in a rapid molecular identification system for clinical Candida species.…”

Section: Resultsmentioning

confidence: 99%

“…With our work, we added a new dimension to the fundamental work of Deak et al (2004), who have applied this method in a rapid molecular identification system for clinical Candida species. We showed that natural isolates of ascomycetous or basidiomycetous yeasts can also be identified by in silico RFLP.…”

Section: Comparison Of In Silico Rflp and Conventional Identificationmentioning

confidence: 99%

“…Deak et al. (2004) did a step forward and designed a software package (CandID) which included a database of restriction patterns of the ribosomal region (rDNA RFLP) for clinically important Candida species.…”

Section: Introductionmentioning

confidence: 99%

“…They showed that in vitro and in silico restriction patterns were comparable. Deak et al (2004) did a step forward and designed a software package (CandID) which included a database of restriction patterns of the ribosomal region (rDNA RFLP) for clinically important Candida species. The rDNA RFLP database in the context of supporting analytical software allowed simple and rapid (one working day) identification.…”

Section: Introductionmentioning

confidence: 99%

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VALIDATION OF YEAST IDENTIFICATION BY IN SILICO RFLP

Raspor

Zupan

Čadež

2007

Rapid Methods Automation Mic

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Reliability, high reproducibility and high throughput are advantages of genetic identification methods over conventional methods based on phenotypic characteristics. In our work, we showed that the PCR‐RFLP of internal transcribed spacer (ITS) of ribosomal DNA (rDNA) method can be a very powerful identification or validation method, if it is combined with computer‐based restriction analysis of sequences stored in broadening databases. We isolated 197 yeast samples from grape berries and fermenting grape must and identified 13 species. For identification conventional methods, D1/D2 sequencing and PCR‐RFLP of ITS regions were used. Because in our case, conventional methods were found insufficient for reliable and fast identification, in silico RFLP was applied; using appropriate software, enzyme restriction patterns on the agarose gel were simulated and compared with the restriction pattern obtained with PCR‐RFLP. With this in silico approach we managed to identify or validate the identification of all 13 species. Our results show that natural isolates of ascomycetous or basidiomycetous yeasts can be rapidly (in 3 days) and reliably identified by in silico RFLP. PRACTICAL APPLICATIONS In silico RFLP will be highly useful in the identification process of yeasts that could be reliably identified by conventional methods. For its speed, simplicity, high reproducibility and high throughput if compared to conventional identification methods, the method will be chosen when rapid validation or identification of yeast samples is needed. Another application, determining the enzymes, which distinguishes one species from another using RFLP, is obvious. Moreover, a database of ITS sequences will have great value at phylogenetic classification of new undescribed species.We believe that a program such as CandID with restriction databases of other yeast species can enrich the microbiological practice in the future.

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Section: Resultsmentioning

confidence: 99%

Section: Comparison Of In Silico Rflp and Conventional Identificationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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VALIDATION OF YEAST IDENTIFICATION BY IN SILICO RFLP

Raspor

Zupan

Čadež

2007

Rapid Methods Automation Mic

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“…Maiwald et al 21 introduced a method for presumptive differentiation of 12 clinically relevant yeasts to the species level by amplification of the small ribosomal subunit 18S-rRNA using six enzymes. Identification of Candida species by PCR-RFLP has also been applied recently by Deak and Pinto 22,23 . While all of the mentioned studies discriminated Candida species using several restriction enzymes, we identified six species, which accounts for up to 95% of Candida infections, using only one enzyme.…”

Section: Discussionmentioning

confidence: 99%

A One-Enzyme PCR-RFLP Assay for Identification of Six Medically Important Candida Species

Mirhendi

Makimura

Khoramizadeh

et al. 2006

Nippon Ishinkin Gakkai Zasshi

190

169

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Current awareness on yeast

2005

Yeast

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In order to keep subscribers up‐to‐date with the latest developments in their field, this current awareness service is provided by John Wiley & Sons and contains newly‐published material on yeasts. Each bibliography is divided into 10 sections. 1 Books, Reviews & Symposia; 2 General; 3 Biochemistry; 4 Biotechnology; 5 Cell Biology; 6 Gene Expression; 7 Genetics; 8 Physiology; 9 Medical Mycology; 10 Recombinant DNA Technology. Within each section, articles are listed in alphabetical order with respect to author. If, in the preceding period, no publications are located relevant to any one of these headings, that section will be omitted. (4 weeks journals ‐ search completed 8th. Dec. 2004)

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Development of a novel, simple and rapid molecular identification system for clinicalCandidaspecies

Cited by 11 publications

References 22 publications

VALIDATION OF YEAST IDENTIFICATION BY IN SILICO RFLP

VALIDATION OF YEAST IDENTIFICATION BY IN SILICO RFLP

A One-Enzyme PCR-RFLP Assay for Identification of Six Medically Important Candida Species

Current awareness on yeast

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