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RNA Sequencing Reveals Differential Gene Expression of Cerrena Unicolor in Response to Variable Lighting Conditions
- Source :
- International Journal of Molecular Sciences, Vol 20, Iss 2, p 290 (2019), International Journal of Molecular Sciences, Volume 20, Issue 2
- Publication Year :
- 2019
- Publisher :
- MDPI AG, 2019.
-
Abstract
- To elucidate the light-dependent gene expression in Cerrena unicolor FCL139, the transcriptomes of the fungus growing in white, blue, green, and red lighting conditions and darkness were analysed. Among 10,413 all-unigenes detected in C. unicolor, 7762 were found to be expressed in all tested conditions. Transcripts encoding putative fungal photoreceptors in the C. unicolor transcriptome were identified. The number of transcripts uniquely produced by fungus ranged from 20 during its growth in darkness to 112 in the green lighting conditions. We identified numerous genes whose expression differed substantially between the darkness (control) and each of the light variants tested, with the greatest number of differentially expressed genes (DEGs) (454 up- and 457 down-regulated) observed for the white lighting conditions. The DEGs comprised those involved in primary carbohydrate metabolism, amino acid metabolism, autophagy, nucleotide repair systems, signalling pathways, and carotenoid metabolism as defined using Kyoto Encyclopedia of Genes and Genomes (KEGG) database. The analysis of the expression profile of genes coding for lignocellulose-degrading enzymes suggests that the wood-degradation properties of C. unicolor may be independent of the lighting conditions and may result from the overall stimulation of fungal metabolism by daylight.
- Subjects :
- 0301 basic medicine
genetic structures
030106 microbiology
RNA-Seq
Biology
Catalysis
Inorganic Chemistry
Transcriptome
lcsh:Chemistry
03 medical and health sciences
Gene expression
Cerrena unicolor
Physical and Theoretical Chemistry
KEGG
Molecular Biology
Gene
lcsh:QH301-705.5
Spectroscopy
Genetics
Organic Chemistry
General Medicine
biology.organism_classification
Computer Science Applications
White (mutation)
030104 developmental biology
white rot fungi
lcsh:Biology (General)
lcsh:QD1-999
Darkness
RNA-seq
light
transcriptome
Subjects
Details
- Language :
- English
- ISSN :
- 14220067
- Volume :
- 20
- Issue :
- 2
- Database :
- OpenAIRE
- Journal :
- International Journal of Molecular Sciences
- Accession number :
- edsair.doi.dedup.....63ee61ff63ae32d54954f1c9750140ae