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Status |
Public on Aug 31, 2022 |
Title |
5WB24_A |
Sample type |
SRA |
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|
Source name |
Aspergillus niger N593 delta-kusA
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Organism |
Aspergillus niger |
Characteristics |
genotype: hxkA/glkA medium: 1xMM +1% wheat bran time point: 24 hr
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Treatment protocol |
The pre-cultures containing 250 ml CM with 2% D-fructose in 1 L Erlenmeyer flasks were inoculated with 106 spores/ml and incubated for 16 h. Subsequently, the mycelia were harvested by filtration on sterile cheesecloth, washed with MM and ~0.5 g (dry weight) was transferred to 250 ml Erlenmeyer flasks containing 50 ml MM supplemented with 1% WB or 1% SBP. All cultures were performed in triplicate. After 2, 8 and 24 h of incubation, the mycelia were harvested by vacuum filtration, dried between tissue paper and frozen in liquid nitrogen.
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Growth protocol |
The strains were grown at 30°C using Minimal Medium (MM, pH 6) or Complete Medium (CM, pH 6) with the appropriate carbon source. When required, media of auxotrophic strains were supplemented with 1.22 g/L uridine. All liquid cultures were incubated in an orbital shaker at 250 rpm and 30°C.
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Extracted molecule |
polyA RNA |
Extraction protocol |
Total RNA was extracted from ground mycelial samples using TRIzol® reagent (Invitrogen) and purified with the NucleoSpin® RNA Clean-up Kit (Macherey-Nagel), while contaminant gDNA was removed by rDNase treatment directly on the silica membrane. The RNA quality and quantity were analysed with a RNA6000 Nano Assay using the Agilent 2100 Bioanalyzer (Agilent Technologies). For RNA‐Seq, The TruSeq stranded mRNA (cat#20020594) was used to generate cDNA library for illumina NextSeq550 platform according to the manufacturer protocol. Single-read sequencing of the cDNA libraries with a read length of 150 was performed with NextSeq 550 Sequencing System using NextSeq 500/550 High Output v2 kit 150 cycles (cat#20024907).
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Library strategy |
RNA-Seq |
Library source |
transcriptomic |
Library selection |
cDNA |
Instrument model |
NextSeq 550 |
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Data processing |
Data quality was assessed with fastqc (https://www.bioinformatics.babraham.ac.uk/projects/fastqc/). Read-trimming was conducted using bbduk (http://jgi.doe.gov/data-and-tools/bb-tools/). Reads were aligned to the A. niger NRRL 3 genome (Aguilar‐Pontes et al., 2018) using STAR (https://github.com/alexdobin/STAR). BAM file outputs were mapped to genes using htseq‐count (Anders et al., 2015) using default settings. Genome_build: Aspergillus niger NRRL 3 genome (Aguilar‐Pontes et al., 2018) Supplementary_files_format_and_content: .txt files represent number of raw read counts mapping to each gene
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Submission date |
Feb 08, 2022 |
Last update date |
Aug 31, 2022 |
Contact name |
Ronald de vries |
E-mail(s) |
fungalphysiology@gmail.com
|
Phone |
+31(0)30-2122600
|
Organization name |
westerdijkinstitute
|
Street address |
Uppsalalaan 8
|
City |
Utrecht |
State/province |
Utrecht |
ZIP/Postal code |
3584 CT |
Country |
Netherlands |
|
|
Platform ID |
GPL31925 |
Series (1) |
GSE196397 |
Metabolic engineering reveals the relative importance of different sugar catabolic pathways during growth of Aspergillus niger on plant biomass |
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Relations |
BioSample |
SAMN25761424 |
SRA |
SRX14109344 |