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Malassezia furfur

ABSTRACT: Malassezia furfur Genome sequencing and assembly

PROVIDER: PRJNA732434 | ENA |

REPOSITORIES: ENA

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Dataset's files

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			Action	DRS
		Other
	SRR15130278_1.fastq.gz	Fastqsanger.gz
	SRR15130278_2.fastq.gz	Fastqsanger.gz
	SRR15130279_subreads.fastq.gz	Fastqsanger.gz
	SRR15130280_1.fastq.gz	Fastqsanger.gz

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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.

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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.

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