A rapid screening test to distinguish between<i>Candida albicans</i>and<i>Candida dubliniensis</i>using NMR spectroscopy

Himmelreich, Uwe; Somorjai, Ray L.; Dolenko, Brion; Daniel, Heide-Marie; Sorrell, Tania C.

doi:10.1016/j.femsle.2005.08.016

Cited by 19 publications

(15 citation statements)

References 22 publications

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“…Analysis of the endometabolomes of different strains of Escherichia coli by two‐dimensional high‐performance thin‐layer chromatography showed a wide range of biodiversity that correlated well with the genetic relationships among strains (Maharjan and Ferenci, 2005). Similary, metabolomic analysis of whole cells from different Candida species by nuclear magnetic resonance spectroscopy provided a rapid method for identification and intra‐specific strain discrimination (Himmelreich et al , 2003, 2005). The results presented here show that the exometabolome may be used to discriminate and classify industrial yeast strains and provide a new approach for chemotaxonomy.…”

Section: Discussionmentioning

confidence: 99%

“…However, the genetic complexity inherent in the brewing yeast species can result in misclassification and genetic methods do not always allow reliable separation of closely related strains. The metabolome (collection of low molecular weight organic and inorganic chemical species present in a cell or biological system) can detect genotypic and phenotypic differences in yeast (Oliver, 1998; Raamsdonk et al , 2001; Himmelreich et al , 2003, 2005) and is expected theoretically, and has been shown experimentally, to have a greater discriminatory power than transcriptomics and proteomics (Kell and Westerhoff, 1986; Urbanczyk‐Wochniak et al , 2003). The aim of the present work was thus to use a metabolomics approach for the chemotaxonomy of brewing yeasts.…”

Section: Introductionmentioning

confidence: 99%

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Metabolic footprinting as a tool for discriminating between brewing yeasts

Pope

MacKenzie

Defernez

et al. 2007

Yeast

102

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The characterization of industrial yeast strains by examining their metabolic footprints (exometabolomes) was investigated and compared to genome-based discriminatory methods. A group of nine industrial brewing yeasts was studied by comparing their metabolic footprints, genetic fingerprints and comparative genomic hybridization profiles. Metabolic footprinting was carried out by both direct injection mass spectrometry (DIMS) and gas chromatography time-of-flight mass spectrometry (GC-TOF-MS), with data analysed by principal components analysis (PCA) and canonical variates analysis (CVA). The genomic profiles of the nine yeasts were compared by PCR-restriction fragment length polymorphism (PCR-RFLP) analysis, genetic fingerprinting using amplified fragment length polymorphism (AFLP) analysis and microarray comparative genome hybridizations (CGH). Metabolomic and genomic analysis comparison of the nine brewing yeasts identified metabolomics as a powerful tool in separating genotypically and phenotypically similar strains. For some strains discrimination not achieved genomically was observed metabolomically.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Metabolic footprinting as a tool for discriminating between brewing yeasts

Pope

MacKenzie

Defernez

et al. 2007

Yeast

102

View full text Add to dashboard Cite

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“…By analyzing the presence and the quantity of small molecule metabolites simultaneously, this tool can be used for researchers to determine the effects caused by perturbations on the host's metabolic profiles. Nevertheless, the use of standardized conditions, growth media and pure cultures of isolates are required to ensure reproducible and accurate identification (Himmelreich et al, 2003(Himmelreich et al, , 2005(Himmelreich et al, , 2017Sandrin et al, 2013;Vitali et al, 2015;Foschi et al, 2017;Oliver et al, 2020). Metabolomic profiles of vaginal secretions can also be determined by gas (GC-MS) and liquid chromatography and mass spectrometry (LC-MS).…”

Section: Analysis Of Vaginal Microbiome and Metabolomementioning

confidence: 99%

The Role of Fatty Acid Metabolites in Vaginal Health and Disease: Application to Candidiasis

et al. 2021

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Although the vast majority of women encounters at least one vaginal infection during their life, the amount of microbiome-related research performed in this area lags behind compared to alternative niches such as the intestinal tract. As a result, effective means of diagnosis and treatment, especially of recurrent infections, are limited. The role of the metabolome in vaginal health is largely elusive. It has been shown that lactate produced by the numerous lactobacilli present promotes health by limiting the chance of infection. Short chain fatty acids (SCFA) have been mainly linked to dysbiosis, although the causality of this relationship is still under debate. In this review, we aim to bring together information on the role of the vaginal metabolome and microbiome in infections caused by Candida. Vulvovaginal candidiasis affects near to 70% of all women at least once in their life with a significant proportion of women suffering from the recurrent variant. We assess the role of fatty acid metabolites, mainly SCFA and lactate, in onset of infection and virulence of the fungal pathogen. In addition, we pinpoint where lack of research limits our understanding of the molecular processes involved and restricts the possibility of developing novel treatment strategies.

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“…dubliniensis . Accuracy of identifi cation was 96%, compared with 90% for the commercial biochemical identifi cation methods, VITEK YBC or API ID32 (both from bioMérieux, Inc., Marcy l'Etoile, France), when performed on germ tube positive Candida spp [ 9 ].…”

Section: Identifi Cation Of Fungi Cultured In Vitromentioning

confidence: 99%