Malassezia sympodialis
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA192639 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| Other | ||||
| CANK01.dat.gz | Other | |||
| CANK01.fasta.gz | Fasta.gz | |||
| CANK01.master.dat | Other |
Items per page: 5 1 - 4 of 4 |
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Project 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, tinea versicolor, atopic dermatitis, and folliculitis. Genome sequences of Malassezia globosa, Malassezia sympodialis, and Malassezia pachydermatis lack genes related to fatty acid synthesis. Here, lipid synthesis pathways of M. furfur, M. pachydermatis, M. globosa, M. sympodialis and an atypical variant of M. furfur were reconstructed using genome data and Constraints Based Reconstruction and Analysis. The metabolic reconstruction allowed us to predict variation in the fluxes of each reaction over the network to satisfy the biomass objective function. Proteomic profiling improved and validated the models through data integration. Results suggest that several mechanisms including steroid and butanoate metabolism explain the yeast’s growth under different lipid conditions. Flux differences were observed in production of riboflavin in M. furfur and the biosynthesis of glycerolipids in the atypical variant of M. furfur and Malassezia sympodialis.
2017-10-02 | PXD004523 | Pride
Project description:The skin commensal yeast Malassezia is associated with several skin disorders. To establish a reference resource, we sought to determine the complete genome sequence of Malassezia sympodialis and identify its protein-coding genes. A novel genome annotation workflow combining RNA sequencing, proteomics, and manual curation was developed to determine gene structures with high accuracy.
2016-12-20 | PXD003773 | Pride
Project description:Identification of centromeres in Malassezia sympodialis
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Project description:Malassezia sympodialis Raw sequence reads
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Project description:This data set is part of a study where the genome of Malassezia sympodialis (strain ATCC 42132) was sequenced using long-read technology and annotated using RNA-seq and proteogenomics. RNA was extracted at two different culture times (2 and 4 days). Seven RNA-seq libraries were prepared from independent samples. Two samples (P2 and P3) were enriched for protein-coding RNA using poly(A)-selection. The remaining five samples were processed with RiboMinus to deplete ribosomal RNA, and thus retain both mRNA and non-ribosomal noncoding RNA for sequencing. In total, we obtained 71 million RNA-seq read pairs mapping to genomic regions other than the highly expressed ribosomal loci.
2017-01-10 | E-MTAB-4589 | biostudies-arrayexpress
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Project description:During mammalian colonization and infection, microorganisms must be able to rapidly sense and adapt to changing environmental conditions including alterations in extracellular pH. The fungus-specific Rim/Pal signaling pathway is one process that supports microbial adaptation to alkaline pH. This cascading series of interacting proteins terminates in the proteolytic activation of the highly conserved Rim101/PacC protein, a transcription factor that mediates microbial responses that favor survival in neutral/alkaline pH growth conditions, including many mammalian tissues. We identified the putative Rim pathway proteins Rim101 and Rra1 in the human skin colonizing fungus Malassezia sympodialis. Targeted mutation of these proteins confirmed their role in M. sympodialis growth at higher pH. Additionally, comparative transcriptional analysis of the mutant strains compared to wild-type suggested mechanisms for fungal adaptation to alkaline conditions. These signaling proteins are required for optimal growth in a murine model of atopic dermatitis, a pathological condition associated with increased skin pH. Together these data elucidate both conserved and phylum-specific features of microbial adaptation to extracellular stresses.
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