Usefulness of Multilocus Sequence Typing for Characterization of Clinical Isolates of Candida albicans

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Published inJournal of Clinical Microbiology Vol. 40; no. 4; pp. 1290 - 1297
Main Authors BOUGNOUX, M.-E, MORAND, S, D'ENFERT, C
Format Journal Article
LanguageEnglish
Published Washington, DC American Society for Microbiology 01.04.2002
Subjects
Bacterial Proteins - genetics
Bacterial Typing Techniques
Base Sequence
Biological and medical sciences
Candida albicans
Candida albicans - classification
Candida albicans - genetics
Candida albicans - isolation & purification
Candidiasis - epidemiology
Candidiasis - microbiology
DNA Primers
Fundamental and applied biological sciences. Psychology
Genes, Bacterial
Genotype
Humans
Microbiology
multilocus sequence typing
Mycological methods and techniques used in mycology
Mycology
Reproducibility of Results
Sequence Analysis, DNA
Species Specificity
Candida albicans
Human
Nosocomial infection
Candidiasis
Yeast
Mycosis
Genotype
Method
Fungi
Infection
Characterization
Fungi Imperfecti
Clinical isolate
Thallophyta
Online AccessGet full text
ISSN0095-1137
1098-660X
DOI10.1128/JCM.40.4.1290-1297.2002

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Abstract Article Usage Stats Services JCM Citing Articles Google Scholar PubMed Related Content Social Bookmarking CiteULike Delicious Digg Facebook Google+ Mendeley Reddit StumbleUpon Twitter current issue JCM About JCM Subscribers Authors Reviewers Advertisers Inquiries from the Press Permissions & Commercial Reprints ASM Journals Public Access Policy JCM RSS Feeds 1752 N Street N.W. • Washington DC 20036 202.737.3600 • 202.942.9355 fax • journals@asmusa.org Print ISSN: 0095-1137 Online ISSN: 1098-660X Copyright © 2014 by the American Society for Microbiology.   For an alternate route to JCM .asm.org, visit: JCM       
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Molecular characterization of Candida albicans isolates is essential for understanding the epidemiology of nosocomial infections caused by this yeast. Here, we investigated the potential value of multilocus sequence typing (MLST) for characterizing epidemiologically related or unrelated C. albicans strains of various clinical origins. Accordingly, we sequenced the internal regions (loci) of six selected housekeeping genes of 40 C. albicans clinical isolates and 2 reference strains. In all, 68 polymorphic nucleotide sites were identified, of which 65 were found to be heterozygous in at least one isolate. Ten to 24 different genotypes were observed at the different loci, resulting, when combined, in 39 unique genotype combinations or diploid sequence types (DSTs). When MLST was applied to 26 epidemiologically unrelated isolates and the 2 reference strains, it allowed the identification of 27 independent DSTs, thus demonstrating a discriminatory power of 99.7. Using multidimensional scaling together with the minimum spanning tree method to analyze interstrain relationships, we identified six groups of genetically related isolates on the basis of bootstrap values of greater than 900. Application of MLST to 14 epidemiologically related isolates showed that those recovered from patients in the same hospital ward during the same 3 months had specific DSTs, although 73% of these isolates were genetically very close. This suggests that MLST can trace minute variations in the sequences of related isolates. Overall, MLST proved to be a highly discriminatory and stable method for unambiguous characterization of C. albicans .
Molecular characterization of Candida albicans isolates is essential for understanding the epidemiology of nosocomial infections caused by this yeast. Here, we investigated the potential value of multilocus sequence typing (MLST) for characterizing epidemiologically related or unrelated C. albicans strains of various clinical origins. Accordingly, we sequenced the internal regions (loci) of six selected housekeeping genes of 40 C. albicans clinical isolates and 2 reference strains. In all, 68 polymorphic nucleotide sites were identified, of which 65 were found to be heterozygous in at least one isolate. Ten to 24 different genotypes were observed at the different loci, resulting, when combined, in 39 unique genotype combinations or diploid sequence types (DSTs). When MLST was applied to 26 epidemiologically unrelated isolates and the 2 reference strains, it allowed the identification of 27 independent DSTs, thus demonstrating a discriminatory power of 99.7. Using multidimensional scaling together with the minimum spanning tree method to analyze interstrain relationships, we identified six groups of genetically related isolates on the basis of bootstrap values of greater than 900. Application of MLST to 14 epidemiologically related isolates showed that those recovered from patients in the same hospital ward during the same 3 months had specific DSTs, although 73% of these isolates were genetically very close. This suggests that MLST can trace minute variations in the sequences of related isolates. Overall, MLST proved to be a highly discriminatory and stable method for unambiguous characterization of C. albicans.
Molecular characterization of Candida albicans isolates is essential for understanding the epidemiology of nosocomial infections caused by this yeast. Here, we investigated the potential value of multilocus sequence typing (MLST) for characterizing epidemiologically related or unrelated C. albicans strains of various clinical origins. Accordingly, we sequenced the internal regions (loci) of six selected housekeeping genes of 40 C. albicans clinical isolates and 2 reference strains. In all, 68 polymorphic nucleotide sites were identified, of which 65 were found to be heterozygous in at least one isolate. Ten to 24 different genotypes were observed at the different loci, resulting, when combined, in 39 unique genotype combinations or diploid sequence types (DSTs). When MLST was applied to 26 epidemiologically unrelated isolates and the 2 reference strains, it allowed the identification of 27 independent DSTs, thus demonstrating a discriminatory power of 99.7. Using multidimensional scaling together with the minimum spanning tree method to analyze interstrain relationships, we identified six groups of genetically related isolates on the basis of bootstrap values of greater than 900. Application of MLST to 14 epidemiologically related isolates showed that those recovered from patients in the same hospital ward during the same 3 months had specific DSTs, although 73% of these isolates were genetically very close. This suggests that MLST can trace minute variations in the sequences of related isolates. Overall, MLST proved to be a highly discriminatory and stable method for unambiguous characterization of C. albicans.Molecular characterization of Candida albicans isolates is essential for understanding the epidemiology of nosocomial infections caused by this yeast. Here, we investigated the potential value of multilocus sequence typing (MLST) for characterizing epidemiologically related or unrelated C. albicans strains of various clinical origins. Accordingly, we sequenced the internal regions (loci) of six selected housekeeping genes of 40 C. albicans clinical isolates and 2 reference strains. In all, 68 polymorphic nucleotide sites were identified, of which 65 were found to be heterozygous in at least one isolate. Ten to 24 different genotypes were observed at the different loci, resulting, when combined, in 39 unique genotype combinations or diploid sequence types (DSTs). When MLST was applied to 26 epidemiologically unrelated isolates and the 2 reference strains, it allowed the identification of 27 independent DSTs, thus demonstrating a discriminatory power of 99.7. Using multidimensional scaling together with the minimum spanning tree method to analyze interstrain relationships, we identified six groups of genetically related isolates on the basis of bootstrap values of greater than 900. Application of MLST to 14 epidemiologically related isolates showed that those recovered from patients in the same hospital ward during the same 3 months had specific DSTs, although 73% of these isolates were genetically very close. This suggests that MLST can trace minute variations in the sequences of related isolates. Overall, MLST proved to be a highly discriminatory and stable method for unambiguous characterization of C. albicans.
Author S. Morand
M.-E. Bougnoux
C. d'Enfert
AuthorAffiliation Unité Microbiologie et Environnement, Institut Pasteur, Paris, 1 Laboratoire de Parasitologie-Mycologie, Service de Microbiologie, Hôpital Ambroise-Paré, Université Paris V, Boulogne-Billancourt, 2 Centre d'Ecologie et de Biologie Tropicale et Méditerranéenne, UMR5555, CNRS, Université de Perpignan, Perpignan, France 3
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Issue 4
Keywords Candida albicans
Human
Nosocomial infection
Candidiasis
Yeast
Mycosis
Genotype
Method
Fungi
Infection
Characterization
Fungi Imperfecti
Clinical isolate
Thallophyta
Language English
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Corresponding author. Mailing address: Laboratoire de Parasitologie-Mycologie, Service de Microbiologie, Hôpital Ambroise-Paré, 9, Avenue du Général de Gaulle, 92100 Boulogne-Billancourt, France. Phone: 33 1 49 09 55 45. Fax: 33 1 49 09 59 21. E-mail: marie-elisabeth.bougnoux@apr.ap-hop-paris.fr.
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PublicationTitle Journal of Clinical Microbiology
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Snippet Article Usage Stats Services JCM Citing Articles Google Scholar PubMed Related Content Social Bookmarking CiteULike Delicious Digg Facebook Google+ Mendeley...
Molecular characterization of Candida albicans isolates is essential for understanding the epidemiology of nosocomial infections caused by this yeast. Here, we...
Molecular characterization of Candida albicans isolates is essential for understanding the epidemiology of nosocomial infections caused by this yeast. Here, we...
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StartPage 1290
SubjectTerms Bacterial Proteins - genetics
Bacterial Typing Techniques
Base Sequence
Biological and medical sciences
Candida albicans
Candida albicans - classification
Candida albicans - genetics
Candida albicans - isolation & purification
Candidiasis - epidemiology
Candidiasis - microbiology
DNA Primers
Fundamental and applied biological sciences. Psychology
Genes, Bacterial
Genotype
Humans
Microbiology
multilocus sequence typing
Mycological methods and techniques used in mycology
Mycology
Reproducibility of Results
Sequence Analysis, DNA
Species Specificity
Title Usefulness of Multilocus Sequence Typing for Characterization of Clinical Isolates of Candida albicans
URI http://jcm.asm.org/content/40/4/1290.abstract
https://www.ncbi.nlm.nih.gov/pubmed/11923347
https://www.proquest.com/docview/18299390
https://www.proquest.com/docview/71557374
https://pubmed.ncbi.nlm.nih.gov/PMC140389
Volume 40
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