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Lipid Metabolic Versatility in Malassezia spp. Yeasts Studied through Metabolic Modeling

Malassezia species are lipophilic and lipid-dependent yeasts belonging to the human and animal microbiota. Typically, they are isolated from regions rich in sebaceous glands. They have been associated with dermatological diseases such as seborrheic dermatitis, pityriasis versicolor, atopic dermatiti...

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Autores principales: Triana, Sergio, de Cock, Hans, Ohm, Robin A., Danies, Giovanna, Wösten, Han A. B., Restrepo, Silvia, González Barrios, Andrés F., Celis, Adriana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5603697/
https://www.ncbi.nlm.nih.gov/pubmed/28959251
http://dx.doi.org/10.3389/fmicb.2017.01772
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author Triana, Sergio
de Cock, Hans
Ohm, Robin A.
Danies, Giovanna
Wösten, Han A. B.
Restrepo, Silvia
González Barrios, Andrés F.
Celis, Adriana
author_facet Triana, Sergio
de Cock, Hans
Ohm, Robin A.
Danies, Giovanna
Wösten, Han A. B.
Restrepo, Silvia
González Barrios, Andrés F.
Celis, Adriana
author_sort Triana, Sergio
collection PubMed
description Malassezia species are lipophilic and lipid-dependent yeasts belonging to the human and animal microbiota. Typically, they are isolated from regions rich in sebaceous glands. They have been associated with dermatological diseases such as seborrheic dermatitis, pityriasis versicolor, atopic dermatitis, and folliculitis. The genomes of Malassezia globosa, Malassezia sympodialis, and Malassezia pachydermatis lack the genes related to fatty acid synthesis. Here, the lipid-synthesis pathways of these species, as well as of Malassezia furfur, and of an atypical M. furfur variant were reconstructed using genome data and Constraints Based Reconstruction and Analysis. To this end, the genomes of M. furfur CBS 1878 and the atypical M. furfur 4DS were sequenced and annotated. The resulting Enzyme Commission numbers and predicted reactions were similar to the other Malassezia strains despite the differences in their genome size. Proteomic profiling was utilized to validate flux distributions. Flux differences were observed in the production of steroids in M. furfur and in the metabolism of butanoate in M. pachydermatis. The predictions obtained via these metabolic reconstructions also suggested defects in the assimilation of palmitic acid in M. globosa, M. sympodialis, M. pachydermatis, and the atypical variant of M. furfur, but not in M. furfur. These predictions were validated via physiological characterization, showing the predictive power of metabolic network reconstructions to provide new clues about the metabolic versatility of Malassezia.
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spelling pubmed-56036972017-09-28 Lipid Metabolic Versatility in Malassezia spp. Yeasts Studied through Metabolic Modeling Triana, Sergio de Cock, Hans Ohm, Robin A. Danies, Giovanna Wösten, Han A. B. Restrepo, Silvia González Barrios, Andrés F. Celis, Adriana Front Microbiol Microbiology Malassezia species are lipophilic and lipid-dependent yeasts belonging to the human and animal microbiota. Typically, they are isolated from regions rich in sebaceous glands. They have been associated with dermatological diseases such as seborrheic dermatitis, pityriasis versicolor, atopic dermatitis, and folliculitis. The genomes of Malassezia globosa, Malassezia sympodialis, and Malassezia pachydermatis lack the genes related to fatty acid synthesis. Here, the lipid-synthesis pathways of these species, as well as of Malassezia furfur, and of an atypical M. furfur variant were reconstructed using genome data and Constraints Based Reconstruction and Analysis. To this end, the genomes of M. furfur CBS 1878 and the atypical M. furfur 4DS were sequenced and annotated. The resulting Enzyme Commission numbers and predicted reactions were similar to the other Malassezia strains despite the differences in their genome size. Proteomic profiling was utilized to validate flux distributions. Flux differences were observed in the production of steroids in M. furfur and in the metabolism of butanoate in M. pachydermatis. The predictions obtained via these metabolic reconstructions also suggested defects in the assimilation of palmitic acid in M. globosa, M. sympodialis, M. pachydermatis, and the atypical variant of M. furfur, but not in M. furfur. These predictions were validated via physiological characterization, showing the predictive power of metabolic network reconstructions to provide new clues about the metabolic versatility of Malassezia. Frontiers Media S.A. 2017-09-14 /pmc/articles/PMC5603697/ /pubmed/28959251 http://dx.doi.org/10.3389/fmicb.2017.01772 Text en Copyright © 2017 Triana, de Cock, Ohm, Danies, Wösten, Restrepo, González Barrios and Celis. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Microbiology
Triana, Sergio
de Cock, Hans
Ohm, Robin A.
Danies, Giovanna
Wösten, Han A. B.
Restrepo, Silvia
González Barrios, Andrés F.
Celis, Adriana
Lipid Metabolic Versatility in Malassezia spp. Yeasts Studied through Metabolic Modeling
title Lipid Metabolic Versatility in Malassezia spp. Yeasts Studied through Metabolic Modeling
title_full Lipid Metabolic Versatility in Malassezia spp. Yeasts Studied through Metabolic Modeling
title_fullStr Lipid Metabolic Versatility in Malassezia spp. Yeasts Studied through Metabolic Modeling
title_full_unstemmed Lipid Metabolic Versatility in Malassezia spp. Yeasts Studied through Metabolic Modeling
title_short Lipid Metabolic Versatility in Malassezia spp. Yeasts Studied through Metabolic Modeling
title_sort lipid metabolic versatility in malassezia spp. yeasts studied through metabolic modeling
topic Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5603697/
https://www.ncbi.nlm.nih.gov/pubmed/28959251
http://dx.doi.org/10.3389/fmicb.2017.01772
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