Metabolic model integration of the bibliome, genome, metabolome and reactome of Aspergillus niger.
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.
Andersen
Mikael Rørdam
MR
Center for Microbial Biotechnology, Department of Systems Biology, Technical University of Denmark, Lyngby, Denmark.
Nielsen
Michael Lynge
ML
Nielsen
Jens
J
D001234:Aspergillus niger / Q000235:genetics* / Q000254:growth & development / Q000378:metabolism*; D018533:Biomass; D004734:Energy Metabolism; D015966:Gene Expression Regulation, Fungal; D005800:Genes, Fungal; D016681:Genome, Fungal; D053858:Metabolic Networks and Pathways; D008954:Models, Biological; D016366:Open Reading Frames / Q000235:genetics; D010100:Oxygen / Q000378:metabolism; D015203:Reproducibility of Results
D010100:Oxygen