Phenotypic and Molecular Characterization of
            <i>Candida nivariensis</i>
            sp. nov., a Possible New Opportunistic Fungus

Alcoba-Flórez, Julia; Méndez-Álvarez, Sebastián; Cano, Josep; Guarro, Josep; Pérez-Roth, Eduardo; Arévalo, M.

doi:10.1128/jcm.43.8.4107-4111.2005

Cited by 146 publications

(132 citation statements)

References 21 publications

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“…This trend can already be seen in the fact that 30 Candida species have already been found to cause human diseases. From the current study and others (1,2,13,15,29,38,39,41), it is clear that these numbers are expanding drastically by the use of molecular methods that improve the identification of existing and novel Candida species. a Results were compared with the standard dilution testing (CLSI) and three commercial test systems, Etest, Vitek 2, and Micronaut.…”

Section: Discussionmentioning

confidence: 99%

“…In order to test the growth at different temperatures, VK065094 T was cultured on YMA and growth under anaerobic, CO 2 , and microaerophilic conditions was tested using the GENbag anaer, GENbag CO 2 , and GENbag microaer (bioMéri-eux, Nürtingen, Germany) methods, respectively. Biochemical characteristics were also investigated using the API ID 32C, ID YST card (Vitek 2) (bioMéri-eux, Nürtingen, Germany), and Micronaut Candida (Merlin Diagnostic GmbH, Bornheim-Hersel, Germany) systems in accordance with the manufacturers' instructions.…”

Section: Strainsmentioning

confidence: 99%

“…Thirty species of this genus have already been shown to cause diseases in humans (1,2,13,15,29,38,39,41,42), whereas the substantial progress in medical research and the increasing number of immunocompromised patients will increase the number of medically important Candida species in the future. Furthermore, these numbers are expanding by the introduction of molecular methods that improve the identification of existing and novel Candida species and offer the possibility of distinguishing strains of closely related species that were previously believed to belong to the same species (1,2,13,15,29,38,39,41).…”

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confidence: 99%

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A Novel Flucytosine-Resistant Yeast Species, Candida pseudoaaseri, Causes Disease in a Cancer Patient

Pfüller¹,

Gräser

Erhard

et al. 2011

J Clin Microbiol

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Section: Discussionmentioning

confidence: 99%

Section: Strainsmentioning

confidence: 99%

mentioning

confidence: 99%

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A Novel Flucytosine-Resistant Yeast Species, Candida pseudoaaseri, Causes Disease in a Cancer Patient

Pfüller¹,

Gräser

Erhard

et al. 2011

J Clin Microbiol

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“…As D values higher than 0.90 are needed for the accurate typing of epidemiologically related isolates (12,16), microsatellite-based MLVA seems to be an attractive method for large epidemiological surveys and appears to be as discriminant as MLST (D ϭ 0.898 computed from data obtained by Dodgson et al [9]). Because of their specificity and typeability, microsatellite markers can also be (1,5,18). At a given locus, most of the possible numbers of repeats were present, demonstrating a continuum for increasing or decreasing the numbers of repeats.…”

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confidence: 99%

Multiple-Locus Variable-Number Tandem-Repeat Analysis for Rapid Typing of Candida glabrata

et al. 2007

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A multiple-locus variable-number tandem-repeat analysis (MLVA) using six microsatellite markers was assessed in 127 Candida glabrata isolates. Thirty-seven different genotypes, stable both in vitro and in vivo, were observed. The highest discriminatory power (D ‫؍‬ 0.902) was reached by using only four markers. MLVA seems to be relevant for C. glabrata typing.Candida glabrata has recently emerged as a major pathogen, causing mucosal and systemic infections (10,17). Several methods, such as electrophoretic karyotyping, restriction enzyme analysis, Southern blotting with probes, randomly amplified polymorphic DNA, and multilocus sequence typing (MLST), have been used to distinguish and type C. glabrata isolates (2,7,8,14,21,28). Microsatellite polymorphism analysis has been widely used for typing fungi (3,4,11,15,18,25), and this could be an alternative, easy-to-perform, reproducible method suitable for large-scale studies of C. glabrata epidemiology. Recently, Foulet et al. described three polymorphic microsatellite markers to investigate the delineation of clinical C. glabrata isolates (12). The discriminatory power of this method was good but not optimal. The aim of our study was to assess a microsatellite-based multiple-locus variable-number tandemrepeat analysis (MLVA) using new markers for C. glabrata typing.One hundred twenty-seven C. glabrata strains were analyzed, including four reference strains, 98 independent clinical isolates, and 25 epidemiologically related isolates. These 25 were from the blood cultures and peripheral site isolates of eight patients with C. glabrata candidemia. Genomic DNA was extracted by boiling with Chelex resin as previously described (6, 23). Six microsatellite markers were selected from the C. glabrata DNA sequences available in the GenBank database (29). Primer sequences were designed with Primer3 software (24), and locations in the C. glabrata genome were determined with the Genolevures database (http://cbi.labri.fr/Genolevures/) ( Table 1). For each primer set, PCRs were performed with a 20-l final volume containing 1 l of DNA, each deoxynucleoside triphosphate at 200 M, a forward primer and a 5Ј-dyelabeled reverse primer at 0.25 M each, and 1 U of Taq DNA polymerase (Promega, Madison, WI). The amplification conditions were 5 min at 95°C, followed by 35 cycles of 95°C for 30 s, 52°C for 30 s, and 72°C for 45 s and then a final step of 72°C for 10 min. For any given isolate, amplicons of each PCR were pooled before multiplex fragment sizing with a Ceq 8000 Genetic Analyzer (Beckman Coulter, Fullerton, CA). Strain IHEM 9670 was run as a control in each experiment. As allele sizing depends on dyes and the analyzer used for electrophoresis, results were expressed as the exact size of the sequence (determined by sequencing of each representative allele for each locus) to allow further interlaboratory comparisons of MLVA results (13,20). The reproducibility and stability of the method were assessed as described elsewhere (25) . Primer specificity was also tested against the sequ...

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“…Five fungi were identified more than 1 time but less than 10 times: C. parapsilosis (6), Aspergillus niger (3), C. dubliniensis (2), Clavispora lusitaniae (2), and Kluyveromyces marxianus (2). Seven were identified only one time: A. flavus, Microsporum canis, Trichosporon asahii, Kodamaea ohmeri, C. africana (an emergent and rare pathogen described in 2001 for the first time), 13 C. nivariensis (an emergent and rare pathogen described in 2005 for the first time), 14 and C. utilis (an industrially important yeast that is rarely reported as a human pathogen, with approximately 10 reported cases found in a PubMed search on May 6, 2014). 15 Imprecise identification at the genus or family levels.…”

Section: Resultsmentioning

confidence: 99%

The Ongoing Revolution of MALDI-TOF Mass Spectrometry for Microbiology Reaches Tropical Africa

Fall¹,

Lo²,

Samb-Ba³

et al. 2015

The American Society of Tropical Medicine and Hygiene

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Abstract. Matrix-assisted laser desorption ionization time-of-flight (MALDI-TOF) mass spectrometry (MS) represents a revolution in routine pathogen identification in clinical microbiology laboratories. A MALDI-TOF MS was introduced to tropical Africa in the clinical microbiology laboratory of the Hô pital Principal de Dakar (Senegal) and used for routine pathogen identification. Using MS, 2,429 bacteria and fungi isolated from patients were directly assayed, leading to the identification of 2,082 bacteria (85.7%) and 206 fungi (8.5%) at the species level, 109 bacteria (4.5%) at the genus level, and 16 bacteria (0.75%) at the family level. Sixteen isolates remained unidentified (0.75%). Escherichia coli was the most prevalent species (25.8%) followed by Klebsiella pneumoniae (14.8%), Streptococcus agalactiae (6.2%), Acinetobacter baumannii (6.1%), Pseudomonas aeruginosa (5.9%), and Staphylococcus aureus (5.9%). MALDI-TOF MS has also enabled the detection of rare bacteria and fungi. MALDI-TOF MS is a powerful tool for the identification of bacterial and fungal species involved in infectious diseases in tropical Africa.

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Phenotypic and Molecular Characterization of Candida nivariensis sp. nov., a Possible New Opportunistic Fungus

Cited by 146 publications

References 21 publications

A Novel Flucytosine-Resistant Yeast Species, Candida pseudoaaseri, Causes Disease in a Cancer Patient

A Novel Flucytosine-Resistant Yeast Species, Candida pseudoaaseri, Causes Disease in a Cancer Patient

Multiple-Locus Variable-Number Tandem-Repeat Analysis for Rapid Typing of Candida glabrata

The Ongoing Revolution of MALDI-TOF Mass Spectrometry for Microbiology Reaches Tropical Africa

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