Figure 1

Schematical view of data from high-throughput technology and constraint-based modeling. (A) Functional distribution of up regulated genes in bacteroids. (B) Functional categories of proteome data. (C) Number of up regulated genes and proteins-coding genes identified by transcriptomics and proteomics. Overlapping region represents the number of genes that were identified by both technologies. (D) Topological properties of the metabolic reconstruction for R.etli (iOR450). At the top from left to right: stoichiometric matrix and connectivity distribution (in log-log scale). At the bottom, metabolic pairs and its corresponding number of shared reactions (in log-log scale). (E) Figure in left side depicts the number of enzymes (genes) that were: 1) identified in silico but nor experimentally,(blue); 2) detected by both experimentally and in silico (green); and 3) experimentally detected but not observed in silico (red) along the 22 pathways listed in (F). Blue regions in right pies represent the overall percentage of genes and enzymes that simultaneously appear in silico and in high-throughput data. (F) A set of 22 metabolic pathways were used to assess the agreement between in silico and experimental results. Figure at left shows the activity of gluconeogenesis that emerged from the Flux Balance Analysis (FBA).