To identify such metabolic peculiarities, we assessed the metabolic potential of E. falciformis with a combination of methods employing simple comparisons of domain and metabolic enzyme annotations but also automated genome scale metabolic reconstruction based on MetaCyc [ 52] and KEGG [ 53] pathways.
In this way, a researcher can rapidly generate draft metabolic network reconstructions based on genomic comparisons with one or more reference networks.
Second, there is a strong bias for metabolic network reconstruction based on our classical biochemical knowledge, the annotated gene functions in public databases and our incompetence to characterize a gene functionally without any homology match in the databases.
This approach of analysing metabolism as a single network allows a global view of functional processes, which was enabled by metabolic reconstruction methods based on genomic data [ 33- 37].
Phylogenomic reconstructions based on 3,560 homologous groups suggest a polyphyletic population infrastructure and gradual loss of metabolic genes as this saprophytic species diversified into the rare and probably defective lineage III.
The first attempt to reconstruct a large metabolic reconstruction of algae (based on Chlamydomonas reinhardtii) featured 484 reactions and 458 metabolites located in the chloroplast, cytosol and mitochondria [ 13].
The central metabolism of A. nidulans, as well as biosynthetic pathways of relevant secondary metabolites, was reconstructed based on detailed metabolic reconstructions available for A. niger and Saccharomyces cerevisiae, and information on the genetics, biochemistry and physiology of A. nidulans.
iAB-RBC-283 is a proteomic based metabolic reconstruction and a biochemical knowledge-base, a functional integration of high-throughput biological data and existing experimentally verified biochemical erythrocyte knowledge that can be queried through simulations and calculations.
For the purpose, we reconstructed the central metabolic network of A. nidulans, based on detailed metabolic reconstructions of other eukaryotes, namely A. niger [ 21], Saccharomyces cerevisiae [ 22], and Mus musculus [ 23].
We have implemented a function in ITEP that directly evaluates Boolean gene-protein-reaction relationships associated with existing metabolic reconstructions of strains in the database based on the presence-absence calls of de novo clustering with arbitrary parameters.
