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Series GSE222372 Query DataSets for GSE222372
Status Public on Dec 06, 2023
Title The transcriptional factor Clr-5 is involved in cellulose degradation through regulation of amino acid metabolism in Neurospora crassa
Organism Neurospora crassa
Experiment type Expression profiling by high throughput sequencing
Summary Filamentous fungi are one of the primary degraders of plant biomass because of their ability to produce enzymes that break down complex polysaccharides. The production of cellulolytic enzymes in fungi is dependent on transcription factors. In this article, we identified a N. crassa Zn2Cys6 transcription factor Clr5 that regulates the expression of cellulase on cellulose. N. crassa Δclr5 exhibited a significant decrease in secreted proteins (~46%), endo-glucanase (~55%), xylanase (~33%), β-glucosidase (~38%), and exocellulase (~40%) compared with the WT, while transcriptomic analysis revealed that clr5 was essential in cellulase expression. We also determined that clr5 is crucial in amino acid- Leucine and Histidine metabolism. When using Leucine or Histidine as solo nitrogen source, Δclr5 strain cannot grow as normally as WT, and the expression of most CAZyme genes were reduced obviously, which indicated nitrogen metabolism played an important role in cellulose degradation. Moreover, the function of Clr5 is conservative in M. thermophila, the other fungi with a capacity for biomass degradation.
Overall design mRNA profiles of Neurospora crassa exposed to Avicel.
Contributor(s) Li J
Citation(s) 38031036
Submission date Jan 07, 2023
Last update date Dec 06, 2023
Contact name Jingen Li
Phone +86-02284861948
Organization name Tianjin institute of industrial biotechnology,Chinses Academy of Sciences
Street address Xiqi Dao 32, Tianjin Airport Economic Area
City Tianjin
ZIP/Postal code 300308
Country China
Platforms (1)
GPL16164 Illumina HiSeq 2000 (Neurospora crassa)
Samples (12)
GSM6921746 ∆clr5_Avicel_1
GSM6921747 ∆clr5_Avicel_2
GSM6921748 WT_Avicel_1
BioProject PRJNA921303

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Supplementary file Size Download File type/resource
GSE222372_RNA-seq-Readcounts.xlsx 784.9 Kb (ftp)(http) XLSX
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