Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Conserved and Essential Transcription Factors for Cellulase Gene Expression in Ascomycete Fungi.

ABSTRACT: Transcriptional profiling with next-generation sequencing methods refined our understanding of the N. crassa transcriptional response to cellulose and demonstrated that the newly characterized transcription factors clr-1 and clr-2 were required for the bulk of that response including induction all major cellulase and some major hemicellulase genes. N. crassa pregrown in Sucrose and transferred to Avicel (cellulose), Sucrose or media with no carbon added. Biological triplicates used to identify differentially expressed genes in WT. Single libraries for mutant strains identify which genes show deficient regulation in response to Avicel. Note: Samples named "cdr1" and "cdr2" correspond to the genes clr-1 and clr-2 respectively.

ORGANISM(S): Neurospora crassa OR74A

SUBMITTER: Samuel Coradetti

PROVIDER: E-GEOD-35227 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Conserved and essential transcription factors for cellulase gene expression in ascomycete fungi.

Coradetti Samuel T ST Craig James P JP Xiong Yi Y Shock Teresa T Tian Chaoguang C Glass N Louise NL

Proceedings of the National Academy of Sciences of the United States of America 20120424 19

Rational engineering of filamentous fungi for improved cellulase production is hampered by our incomplete knowledge of transcriptional regulatory networks. We therefore used the model filamentous fungus Neurospora crassa to search for uncharacterized transcription factors associated with cellulose deconstruction. A screen of a N. crassa transcription factor deletion collection identified two uncharacterized zinc binuclear cluster transcription factors (clr-1 and clr-2) that were required for gro ...[more]

PMID: 22532664

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Project description:Filamentous fungi are powerful producers of hydrolytic enzymes for the deconstruction of plant cell wall polysaccharides. However, the central question of how these sugars are perceived in the context of the complex cell wall matrix remains largely elusive. To address this question in a systematic fashion we performed an extensive comparative systems analysis of how the model filamentous fungus Neurospora crassa responds to the three main cell wall polysaccharides: pectin, hemicellulose and cellulose. We found the pectic response to be largely independent of the cellulolytic one with some overlap to hemicellulose, and in its extent surprisingly high, suggesting advantages for the fungus beyond being a mere carbon source. Our approach furthermore allowed us to identify carbon source-specific adaptations, such as the induction of the unfolded protein response on cellulose, and a commonly induced set of 29 genes likely involved in carbon scouting. Moreover, by hierarchical clustering we generated a co-expression matrix useful for the discovery of new components involved in polysaccharide utilization. This is exemplified by the identification of lat-1, which we demonstrate to encode for the physiologically relevant arabinose transporter in Neurospora. The analyses presented here are an important step towards understanding fungal degradation processes of complex biomass. Our data are based on carbon source transfer experiments. For this, N. crassa pregrown in sucrose for 16 hrs was washed in media without carbon and then transferred to either pectin, orange peel powder (OPP), xylan, Avicel (cellulose), sucrose, or media without carbon (NoC) for another 4 hrs. Biological triplicates (pectin, Avicel, sucrose, NoC) or duplicates (OPP) were used to identify differentially expressed genes in WT. For xylan only a single library was prepared, which was found to correlate well with previously published microarray data (Sun et al. 2012; doi: 10.1128/EC.05327-11)

Dataset Information

Conserved and Essential Transcription Factors for Cellulase Gene Expression in Ascomycete Fungi.

Publications

Conserved and essential transcription factors for cellulase gene expression in ascomycete fungi.

Similar Datasets

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