Dataset Information

Transcriptomic analysis of cellulolytic fungus Penicillium decumbens strains in response to different carbon sources

ABSTRACT: Digital gene expression profiling (DGE) was used to compare the responses of Penicillium decumbens strains to different carbon sources including glucose, cellulose and cellulose-wheat bran. In both wild-type strain 114-2 and cellulase hyperproducing mutant JU-A10-T, transcription of lignocellulolytic enzymes were significantly up-regulated in the presense of cellulose. Relative to 114-2, coordinated up-regulation of lignocellulolytic enzymes and down-regulation of amylases and proteases were observed in JU-A10-T, especially in the cellulose-wheat bran medium. The expression of the principal β-glucosidase BGLI gene was not elevated in JU-A10-T, like the cellulases and hemicellulases, suggesting a different regulatory mechanism for this enzyme. Functional analysis of genes up-regulated in JU-A10-T relative to 114-2 also showed enrichment of proteins involved in amino acid synthesis, protein synthesis, and post-translational modification, compatible with the higher level of production of secreted proteins in JU-A10-T.

ORGANISM(S): Penicillium decumbens

PROVIDER: GSE34288 | GEO | 2013/01/18

SECONDARY ACCESSION(S): PRJNA149945

REPOSITORIES: GEO

ACCESS DATA

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Project description:Thermothelomyces thermophilus, formerly known as Myceliophthora thermophila, is used in industry to produce lignocellulolytic enzymes and heterologous proteins. However, the transcriptional network driving the expression of these proteins remains elusive. As a first step to systematically uncover this network, we investigated growth, protein secretion, and transcriptomic fingerprints of strains deficient in the cellulolytic transcriptional regulators Clr1, Clr2, and Clr4, respectively. The genes encoding Clr1, Clr2, and Clr4 were individually deleted using split marker or the CRISPR/Cas12a technology and the resulting strains as well as the parental strain were cultivated in bioreactors under chemostat conditions using glucose as carbon source. During steady state conditions, cellulose was added instead of glucose to study the genetic and cellular responses in all four strains to the shift in carbon source availability. Notably, the clr1 and clr2 deletion strains were unable to continue to grow on cellulose, demonstrating a key role of both regulators in cellulose catabolism. Their transcriptomic fingerprints uncovered not only a lack of cellulase gene expression but also reduced expression of genes predicted to encode hemicellulases, pectinases, and esterases. In contrast, the growth of the clr4 deletion strain was very similar compared to the parental strain. However, a much stronger expression of cellulases, hemicellulases, pectinases, and esterases was observed. The data gained in this study suggest that both transcriptional regulators Clr1 and Clr2 activate the expression of genes predicted to encode cellulases as well as hemicellulases, pectinases, and esterases. They further suggest that Clr1 controls the basal expression of cellulases and initiates the main lignocellulolytic response to cellulose via induction of clr2 expression. In contrast, Clr4 seems to act as a repressor of the lignocellulolytic response presumably via controlling clr2 expression. Comparative transcriptomics in all four strains revealed potentially new regulators in carbohydrate catabolism and lignocellulolytic enzyme expression that define a candidate gene list for future analyses.

Project description:The thermophilic fungus Malbranchea cinnamomea belongs to the order of Onygenales and is a promising source of thermostable, industrially relevant biocatalysts, as it can grow at temperatures of more than 50°C and is able to utilise many different types of plant biomass. Enzymes from M. cinnamomea that have been characterised so far include an α-amylase, an α-glucosidase, xylanases and an alkaline β-1,3-1,4-glucanase (lichenase), all of which have been reported to have temperature optima between 50°C and 80°C. With this study, we complement the knowledge of the enzymatic repertoire of M. cinnamomea with a transcriptomic analysis of strain FCH 10.5 to provide a more comprehensive view of its lignocellulolytic enzyme system. Genes differentially expressed during growth on two different polymeric substrates, beechwood xylan and wheat bran, point to differences in the fungal response to the deconstruction of a hardwood hemicellulose (beechwood xylan) and a cereal hemicellulose (wheat bran). The data presented here will form the basis for a systematic exploration of the full potential of this fungus as a source of thermostable enzymes. We sequenced the genome of M. cinnamomea FCH 10.5, which was isolated from the compost of a waste treatment plant in Hanoi, Vietnam (PMC5604768, https://www.ncbi.nlm.nih.gov/nuccore/FQSS02000000). For RNAseq, the fungus was grown on three different carbon sources (glucose, wheat bran, beechwood xylan) at 50°C. Mycelium was harvested after 4h and 48h and RNA was extracted. For RNAseq analysis, the RNA of 4h and 48h samples was mixed 1:1, to get information about both early- and late-response genes during growth on the different carbon sources. Two independent duplicate experiments were done for each substrate. Total RNA was extracted using TRIzol (Invitrogen) and chloroform, and further purified with the RNeasy Plant RNA Kit with on-column DNAse digestion (QIAGEN). The quality of the purified RNA was verified by agarose gel electrophoresis, Nanodrop (Thermo Scientific) and Qubit (Life Technologies). The NEBNext Ultra Directional RNA Library Prep Kit for Illumina (New England Biolabs) was used to process the samples according to the manufacturer’s instructions. Briefly, mRNA was isolated from total RNA using oligo-dT magnetic beads and used to synthesise cDNA. The cDNA was ligated with sequencing adapters and PCR amplified. The quality and yield after sample preparation were determined with the Fragment Analyzer (Advanced Analytical). The size of the resulting products was consistent with the expected size distribution (a broad peak between 300-500 bp). Standard Illumina primers for Illumina cBot and HiSeq 2500, and the HiSeq control software HCS v2.2.58 were used according to manufacturer’s protocols for clustering and DNA sequencing with a concentration of 16.0 pM. The Illumina data analysis pipelines RTA v1.18.64 and Bcl2fastq v2.17 were used for image analysis, base calling, and quality check. Sequencing was performed on an Illumina HiSeq 2500 sequencer. The assembled genome from the DNA sequencing was used as a reference to map the reads using the packages Tophat (v2.0.14. Linux_x86_64) and Bowtie (v2-2.1.0) with a default mismatch rate of 2%. The frequency with which a read was mapped on a transcript was determined based on the mapped locations from the alignment. To normalise for transcript length, fpkm (fragments per kilobase of transcript per million mapped reads) were calculated. For differential expression analysis, the read counts were loaded into the DESeq package v 1.10.1. Genes were considered differentially expressed if they showed a log2 fold change ≥ 1 and the adjusted p-value was < 0.05.

Dataset Information

Transcriptomic analysis of cellulolytic fungus Penicillium decumbens strains in response to different carbon sources

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets