The development and validation of a rapid genetic method for species identification and genotyping of medically important fungal pathogens using high-resolution melting curve analysis

Summary Accurate, rapid and economical fungal species identification has been a major aim in mycology. In this study, our goal was to examine the feasibility of a high‐resolution melting curve analysis (HRMA) of internal transcribed regions ITS1 and ITS2 in ribosomal DNA (rDNA) for a rapid, simple a...

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Published in:Molecular oral microbiology Vol. 29; no. 3; pp. 117 - 130
Main Authors: Alnuaimi, A.D., Wiesenfeld, D., O'Brien-Simpson, N.M., Reynolds, E.C., Peng, B., McCullough, M.J.
Format: Journal Article
Language:English
Published: Denmark Blackwell Publishing Ltd 01-06-2014
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Abstract Summary Accurate, rapid and economical fungal species identification has been a major aim in mycology. In this study, our goal was to examine the feasibility of a high‐resolution melting curve analysis (HRMA) of internal transcribed regions ITS1 and ITS2 in ribosomal DNA (rDNA) for a rapid, simple and inexpensive differentiation of eight clinically relevant Candida species (Candida albicans, Candida glabrata, Candida parapsilosis, Candida krusei, Candida tropicalis, Candida guilliermondii, Candida dubliniensis and Candida lusitaniae). In addition, for the first time, we tested the applicability of HRMA to classify C. albicans strains into four previously described genotypes (A, B, C and D) using a primer set that spans the transposable intron region of 25S of rDNA. Type and unknown clinical oral isolates were used in this study and the melting curve analysis was compared with both amplicons' sequencing and agarose gel electrophoresis analysis. Real‐time PCR and subsequent HRMA of the two described rDNA regions generated distinct melting curve profiles that were in accord with sequencing and gel electrophoresis analysis, highly reproducible, and characteristic of each of the eight Candida species and C. albicans genotypes. Moreover, results were obtained in 4 h and without the need for any post‐amplification handling, so reducing time and cost. Owing to its simplicity and speed, this technique is a good fit for genotypic analysis of hundreds of clinical strains in large epidemiological settings.
AbstractList Accurate, rapid and economical fungal species identification has been a major aim in mycology. In this study, our goal was to examine the feasibility of a high-resolution melting curve analysis (HRMA) of internal transcribed regions ITS1 and ITS2 in ribosomal DNA (rDNA) for a rapid, simple and inexpensive differentiation of eight clinically relevant Candida species (Candida albicans, Candida glabrata, Candida parapsilosis, Candida krusei, Candida tropicalis, Candida guilliermondii, Candida dubliniensis and Candida lusitaniae). In addition, for the first time, we tested the applicability of HRMA to classify C. albicans strains into four previously described genotypes (A, B, C and D) using a primer set that spans the transposable intron region of 25S of rDNA. Type and unknown clinical oral isolates were used in this study and the melting curve analysis was compared with both amplicons' sequencing and agarose gel electrophoresis analysis. Real-time PCR and subsequent HRMA of the two described rDNA regions generated distinct melting curve profiles that were in accord with sequencing and gel electrophoresis analysis, highly reproducible, and characteristic of each of the eight Candida species and C. albicans genotypes. Moreover, results were obtained in 4 h and without the need for any post-amplification handling, so reducing time and cost. Owing to its simplicity and speed, this technique is a good fit for genotypic analysis of hundreds of clinical strains in large epidemiological settings.
Summary Accurate, rapid and economical fungal species identification has been a major aim in mycology. In this study, our goal was to examine the feasibility of a high-resolution melting curve analysis (HRMA) of internal transcribed regions ITS1 and ITS2 in ribosomal DNA (rDNA) for a rapid, simple and inexpensive differentiation of eight clinically relevant Candida species (Candida albicans,Candida glabrata,Candida parapsilosis,Candida krusei,Candida tropicalis,Candida guilliermondii,Candida dubliniensis and Candida lusitaniae). In addition, for the first time, we tested the applicability of HRMA to classify C. albicans strains into four previously described genotypes (A, B, C and D) using a primer set that spans the transposable intron region of 25S of rDNA. Type and unknown clinical oral isolates were used in this study and the melting curve analysis was compared with both amplicons' sequencing and agarose gel electrophoresis analysis. Real-time PCR and subsequent HRMA of the two described rDNA regions generated distinct melting curve profiles that were in accord with sequencing and gel electrophoresis analysis, highly reproducible, and characteristic of each of the eight Candida species and C. albicans genotypes. Moreover, results were obtained in 4 h and without the need for any post-amplification handling, so reducing time and cost. Owing to its simplicity and speed, this technique is a good fit for genotypic analysis of hundreds of clinical strains in large epidemiological settings.
Accurate, rapid and economical fungal species identification has been a major aim in mycology. In this study, our goal was to examine the feasibility of a high-resolution melting curve analysis (HRMA) of internal transcribed regions ITS1 and ITS2 in ribosomal DNA (rDNA) for a rapid, simple and inexpensive differentiation of eight clinically relevant Candida species (Candida albicans, Candida glabrata, Candida parapsilosis, Candida krusei, Candida tropicalis, Candida guilliermondii, Candida dubliniensis and Candida lusitaniae). In addition, for the first time, we tested the applicability of HRMA to classify C. albicans strains into four previously described genotypes (A, B, C and D) using a primer set that spans the transposable intron region of 25S of rDNA. Type and unknown clinical oral isolates were used in this study and the melting curve analysis was compared with both amplicons' sequencing and agarose gel electrophoresis analysis. Real-time PCR and subsequent HRMA of the two described rDNA regions generated distinct melting curve profiles that were in accord with sequencing and gel electrophoresis analysis, highly reproducible, and characteristic of each of the eight Candida species and C. albicans genotypes. Moreover, results were obtained in 4 h and without the need for any post-amplification handling, so reducing time and cost. Owing to its simplicity and speed, this technique is a good fit for genotypic analysis of hundreds of clinical strains in large epidemiological settings.
Summary Accurate, rapid and economical fungal species identification has been a major aim in mycology. In this study, our goal was to examine the feasibility of a high‐resolution melting curve analysis (HRMA) of internal transcribed regions ITS1 and ITS2 in ribosomal DNA (rDNA) for a rapid, simple and inexpensive differentiation of eight clinically relevant Candida species (Candida albicans, Candida glabrata, Candida parapsilosis, Candida krusei, Candida tropicalis, Candida guilliermondii, Candida dubliniensis and Candida lusitaniae). In addition, for the first time, we tested the applicability of HRMA to classify C. albicans strains into four previously described genotypes (A, B, C and D) using a primer set that spans the transposable intron region of 25S of rDNA. Type and unknown clinical oral isolates were used in this study and the melting curve analysis was compared with both amplicons' sequencing and agarose gel electrophoresis analysis. Real‐time PCR and subsequent HRMA of the two described rDNA regions generated distinct melting curve profiles that were in accord with sequencing and gel electrophoresis analysis, highly reproducible, and characteristic of each of the eight Candida species and C. albicans genotypes. Moreover, results were obtained in 4 h and without the need for any post‐amplification handling, so reducing time and cost. Owing to its simplicity and speed, this technique is a good fit for genotypic analysis of hundreds of clinical strains in large epidemiological settings.
Accurate, rapid and economical fungal species identification has been a major aim in mycology. In this study, our goal was to examine the feasibility of a high‐resolution melting curve analysis (HRMA) of internal transcribed regions ITS1 and ITS2 in ribosomal DNA ( rDNA ) for a rapid, simple and inexpensive differentiation of eight clinically relevant Candida species ( Candida albicans , Candida glabrata , Candida parapsilosis , Candida krusei , Candida tropicalis , Candida guilliermondii , Candida dubliniensis and Candida lusitaniae ). In addition, for the first time, we tested the applicability of HRMA to classify C. albicans strains into four previously described genotypes (A, B, C and D) using a primer set that spans the transposable intron region of 25S of rDNA . Type and unknown clinical oral isolates were used in this study and the melting curve analysis was compared with both amplicons' sequencing and agarose gel electrophoresis analysis. Real‐time PCR and subsequent HRMA of the two described rDNA regions generated distinct melting curve profiles that were in accord with sequencing and gel electrophoresis analysis, highly reproducible, and characteristic of each of the eight Candida species and C. albicans genotypes. Moreover, results were obtained in 4 h and without the need for any post‐amplification handling, so reducing time and cost. Owing to its simplicity and speed, this technique is a good fit for genotypic analysis of hundreds of clinical strains in large epidemiological settings.
Author McCullough, M.J.
Wiesenfeld, D.
Alnuaimi, A.D.
O'Brien-Simpson, N.M.
Reynolds, E.C.
Peng, B.
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Issue 3
Keywords Candida albicans
high-resolution melting curve analysis
rapid identification
Candida genotyping
Language English
License 2014 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.
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The University of Melbourne
Figure S1. Representative derivative plots in duplicates from reference and clinical isolates of different Candida species. C. glabrata and C. nivariensis were combined in one figure to show the similarity in melting patterns between the two species.Figure S2. Difference high resolution melting curves in duplicates from reference and clinical isolates of C. albicans genotypes A, B, C and D shown in Fig. .Figure S3. Derivative high resolution melting curves in duplicates from reference and clinical isolates of C. albicans genotypes A, B, C and D shown in Fig. .Table S1. Sequencing homology of type Candida isolates used in the present study with strains of the NCBI website.
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PublicationTitle Molecular oral microbiology
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2010; 12
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2006; 55
2013; 203
2013; 20
1995; 33
2004; 4
2008; 8
2006; 6
2003; 18
2007; 73
2003
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2002
2012; 50
1995; 20
2004; 50
2009; 30
2004; 19
2013; 13
2006; 44
1999; 37
2004; 56
2007; 153
2007; 8
2008; 46
1999; 10
2003; 49
2011; 69
2005; 50
2007; 86
2011; 49
2007; 45
1995; 141
2001; 30
1994; 32
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Snippet Summary Accurate, rapid and economical fungal species identification has been a major aim in mycology. In this study, our goal was to examine the feasibility...
Accurate, rapid and economical fungal species identification has been a major aim in mycology. In this study, our goal was to examine the feasibility of a...
Summary Accurate, rapid and economical fungal species identification has been a major aim in mycology. In this study, our goal was to examine the feasibility...
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crossref
pubmed
wiley
istex
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StartPage 117
SubjectTerms Candida - classification
Candida - genetics
Candida albicans
Candida dubliniensis
Candida genotyping
Candida glabrata
Candida guilliermondii
Candida krusei
Candida lusitaniae
Candida parapsilosis
Candida tropicalis
Dentistry
DNA, Fungal - chemistry
DNA, Ribosomal - chemistry
Feasibility Studies
Genotype
high-resolution melting curve analysis
Humans
Nucleic Acid Denaturation
rapid identification
Real-Time Polymerase Chain Reaction
Species Specificity
Title The development and validation of a rapid genetic method for species identification and genotyping of medically important fungal pathogens using high-resolution melting curve analysis
URI https://api.istex.fr/ark:/67375/WNG-KPGV4KBD-7/fulltext.pdf
https://onlinelibrary.wiley.com/doi/abs/10.1111%2Fomi.12050
https://www.ncbi.nlm.nih.gov/pubmed/24628973
https://www.proquest.com/docview/1707013012
https://search.proquest.com/docview/1518817654
https://search.proquest.com/docview/1524421857
Volume 29
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