Literature DB >> 25762773

Candida inconspicua and Candida norvegensis: new insights into identification in relation to sexual reproduction and genome organization.

J Guitard1, R Atanasova2, J Y Brossas3, I Meyer3, M Gits4, C Marinach5, S Vellaissamy4, A Angoulvant6, D Mazier7, C Hennequin8.   

Abstract

Candida inconspicua and Candida (Pichia) norvegensis are two emerging pathogenic species that exhibit reduced susceptibility to azole derivatives. Conventional (biochemical) approaches do not readily differentiate between the two species. The first aim of this work was to analyze the performance of biochemical, proteomic (matrix-assisted laser desorption ionization-time of flight [MALDI-TOF]), and molecular approaches in the precise identification of these species. These results then led us to sequence 3 genomic loci, i.e., the internal transcribed spacer (ITS) region of the ribosomal DNA (rDNA), the D1/D2 domain of the 28S rDNA, and the elongation factor 1α (EF-1α) gene, either directly or following cloning, of 13 clinical isolates and 9 reference strains belonging to the 5 species included in the Pichia cactophila clade, namely, Pichia cactophila, Pichia insulana, C. inconspicua, C. norvegensis, and P. pseudocactophila. Finally, isolates of C. inconspicua were challenged for sexual reproduction on the appropriate medium. Our results show that EF-1α sequencing and proteic profiling by MALDI-TOF are the two most efficient approaches to distinguish between C. norvegensis and C. inconspicua. As a characteristic of the P. cactophila clade, we found multiple alleles of the rDNA regions in certain strains belonging to the tested species, making ITS or D1/D2 sequencing not appropriate for identification. Whatever the method of identification, including MALDI-TOF and EF-1α sequencing, none could differentiate C. inconspicua from P. cactophila. The results of phylogenetic analysis and the generation of asci from pure cultures of all C. inconspicua strains both support the identification of P. cactophila as the teleomorph of C. inconspicua.
Copyright © 2015, American Society for Microbiology. All Rights Reserved.

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Year:  2015        PMID: 25762773      PMCID: PMC4400776          DOI: 10.1128/JCM.02913-14

Source DB:  PubMed          Journal:  J Clin Microbiol        ISSN: 0095-1137            Impact factor:   5.948


  25 in total

1.  Mechanisms underlying the evolution and maintenance of functionally heterogeneous 18S rRNA genes in Apicomplexans.

Authors:  Alejandro P Rooney
Journal:  Mol Biol Evol       Date:  2004-06-02       Impact factor: 16.240

2.  Evolution of a large ribosomal RNA multigene family in filamentous fungi: birth and death of a concerted evolution paradigm.

Authors:  Alejandro P Rooney; Todd J Ward
Journal:  Proc Natl Acad Sci U S A       Date:  2005-03-22       Impact factor: 11.205

Review 3.  Epidemiology of invasive candidiasis: a persistent public health problem.

Authors:  M A Pfaller; D J Diekema
Journal:  Clin Microbiol Rev       Date:  2007-01       Impact factor: 26.132

4.  The CLUSTAL_X windows interface: flexible strategies for multiple sequence alignment aided by quality analysis tools.

Authors:  J D Thompson; T J Gibson; F Plewniak; F Jeanmougin; D G Higgins
Journal:  Nucleic Acids Res       Date:  1997-12-15       Impact factor: 16.971

5.  Use of an rRNA internal transcribed spacer region to distinguish phylogenetically closely related species of the genera Zygosaccharomyces and Torulaspora.

Authors:  S A James; M D Collins; I N Roberts
Journal:  Int J Syst Bacteriol       Date:  1996-01

6.  Results from the ARTEMIS DISK Global Antifungal Surveillance Study: a 6.5-year analysis of susceptibilities of Candida and other yeast species to fluconazole and voriconazole by standardized disk diffusion testing.

Authors:  M A Pfaller; D J Diekema; M G Rinaldi; R Barnes; B Hu; A V Veselov; N Tiraboschi; E Nagy; D L Gibbs
Journal:  J Clin Microbiol       Date:  2005-12       Impact factor: 5.948

7.  Identification of Fusarium species involved in human infections by 28S rRNA gene sequencing.

Authors:  C Hennequin; E Abachin; F Symoens; V Lavarde; G Reboux; N Nolard; P Berche
Journal:  J Clin Microbiol       Date:  1999-11       Impact factor: 5.948

8.  Identification of clinically important ascomycetous yeasts based on nucleotide divergence in the 5' end of the large-subunit (26S) ribosomal DNA gene.

Authors:  C P Kurtzman; C J Robnett
Journal:  J Clin Microbiol       Date:  1997-05       Impact factor: 5.948

9.  Rapid identification of Candida albicans and other human pathogenic yeasts by using short oligonucleotides in a PCR.

Authors:  B M Mannarelli; C P Kurtzman
Journal:  J Clin Microbiol       Date:  1998-06       Impact factor: 5.948

10.  Heterogeneity in the ribosomal RNA genes of the yeast Yarrowia lipolytica; cloning and analysis of two size classes of repeats.

Authors:  H van Heerikhuizen; A Ykema; J Klootwijk; C Gaillardin; C Ballas; P Fournier
Journal:  Gene       Date:  1985       Impact factor: 3.688

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  4 in total

1.  Population genomics shows no distinction between pathogenic Candida krusei and environmental Pichia kudriavzevii: One species, four names.

Authors:  Alexander P Douglass; Benjamin Offei; Stephanie Braun-Galleani; Aisling Y Coughlan; Alexandre A R Martos; Raúl A Ortiz-Merino; Kevin P Byrne; Kenneth H Wolfe
Journal:  PLoS Pathog       Date:  2018-07-19       Impact factor: 6.823

2.  Analysis of Intestinal Mycobiota of Patients with Clostridioides difficile Infection among a Prospective Inpatient Cohort.

Authors:  Yangchun Cao; Lamei Wang; Shanlin Ke; Ciarán P Kelly; Nira R Pollock; Javier A Villafuerte Gálvez; Kaitlyn Daugherty; Hua Xu; Junhu Yao; Yulin Chen; Yang-Yu Liu; Xinhua Chen
Journal:  Microbiol Spectr       Date:  2022-07-14

3.  Oral Candida administration in a Clostridium difficile mouse model worsens disease severity but is attenuated by Bifidobacterium.

Authors:  Wimonrat Panpetch; Naraporn Somboonna; Matanee Palasuk; Pratsanee Hiengrach; Malcolm Finkelman; Somying Tumwasorn; Asada Leelahavanichkul
Journal:  PLoS One       Date:  2019-01-15       Impact factor: 3.240

4.  Evaluation of the ePlex Blood Culture Identification Panels for Detection of Pathogens in Bloodstream Infections.

Authors:  Te-Din Huang; Ekaterina Melnik; Pierre Bogaerts; Stephanie Evrard; Youri Glupczynski
Journal:  J Clin Microbiol       Date:  2019-01-30       Impact factor: 5.948

  4 in total

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