Project description:Genomic and proteomic characterization of the Aspergillus niger isolate, JSC-093350089, collected from U.S. segment surfaces of the International Space Station (ISS) is reported, along with a comparison to the experimentally established strain ATCC 1015. Whole-genome sequencing of JSC-093350089 revealed enhanced genetic variance when compared to publicly available sequences of A. niger strains. Analysis of the isolate’s proteome revealed significant differences in the molecular phenotype of JSC-093350089, including increased abundance of proteins involved in the A. niger starvation response, oxidative stress resistance, cell wall integrity and modulation, and nutrient acquisition. Together, these data reveal the existence of a distinct strain of A. niger onboard the ISS and provide insight into the molecular phenotype that is selected for by melanized fungal species inhabiting spacecraft environments.
Project description:Gene expression was studied at the periphery, an intermediate zone, and the centre of wild-type and ∆flbA colonies using Affymetrix A. niger whole genome microarrays. We used Affymetrix GeneChip A. niger Geome Arrays and identifed up- and down-regulated genes that may account for the differences between wild-type and ΔflbA colonies.
Project description:Comparative genomics and transcriptomics of the filamentous fungi Aspergillus oryzae and Aspergillus niger have opened possibilities for investigating the cellular metabolism and regulation of these fungi on a systemic level. The aim of this work was to understand how metabolism is regulated and to identify common regulatory responses between A. oryzae and A. niger. We therefore conducted batch fermentations with A. oryzae and A. niger grown on three different carbon sources (glucose, maltose, and xylose) in order to investigate their genome-wide transcription response Keywords: Two Aspergillus species and different carbon sources
Project description:Using transcriptomics, the strain-specific metabolism was mapped for two whole-genome sequenced strains of Aspergillus niger Keywords: Strain comparison
Project description:Comparative genomics and transcriptomics of the filamentous fungi Aspergillus oryzae and Aspergillus niger have opened possibilities for investigating the cellular metabolism and regulation of these fungi on a systemic level. The aim of this work was to understand how metabolism is regulated and to identify common regulatory responses between A. oryzae and A. niger. We therefore conducted batch fermentations with A. oryzae and A. niger grown on three different carbon sources (glucose, maltose, and xylose) in order to investigate their genome-wide transcription response Keywords: Two Aspergillus species and different carbon sources Three conditions (glucose, maltose and xylose) with three biological replicates for A. oryzae and A. niger
Project description:Andersen2009 - Genome-scale metabolic network
of Aspergillus niger (iMA871)
This model is described in the article:
Metabolic model integration
of the bibliome, genome, metabolome and reactome of Aspergillus
niger.
Andersen MR, Nielsen ML, Nielsen
J.
Mol. Syst. Biol. 2008; 4: 178
Abstract:
The release of the genome sequences of two strains of
Aspergillus niger has allowed systems-level investigations of
this important microbial cell factory. To this end, tools for
doing data integration of multi-ome data are necessary, and
especially interesting in the context of metabolism. On the
basis of an A. niger bibliome survey, we present the largest
model reconstruction of a metabolic network reported for a
fungal species. The reconstructed gapless metabolic network is
based on the reportings of 371 articles and comprises 1190
biochemically unique reactions and 871 ORFs. Inclusion of
isoenzymes increases the total number of reactions to 2240. A
graphical map of the metabolic network is presented. All levels
of the reconstruction process were based on manual curation.
From the reconstructed metabolic network, a mathematical model
was constructed and validated with data on yields, fluxes and
transcription. The presented metabolic network and map are
useful tools for examining systemwide data in a metabolic
context. Results from the validated model show a great
potential for expanding the use of A. niger as a high-yield
production platform.
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