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Sample GSM5880161 Query DataSets for GSM5880161
Status Public on Aug 31, 2022
Title 6WB24_A
Sample type SRA
 
Source name Aspergillus niger N593 delta-kusA
Organism Aspergillus niger
Characteristics genotype: galE/ladB
medium: 1xMM +1% wheat bran
time point: 24 hr
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.
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.
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).
 
Library strategy RNA-Seq
Library source transcriptomic
Library selection cDNA
Instrument model NextSeq 550
 
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
 
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
Relations
BioSample SAMN25761412
SRA SRX14109292

Supplementary file Size Download File type/resource
GSM5880161_6WB24_A.txt.gz 48.2 Kb (ftp)(http) TXT
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

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