Fig. 4

Validation by integrated transcriptomics and proteomics analysis. Gene expression and proteomics data were mapped to metabolic enzyme-coding genes and the associated metabolic fluxes predicted over time. Overall, the predicted flux trends are strongly correlated (green colour in the top bar) to the observed gene expression trend across the metabolic switch event (around between 35 and 36 h). Two highly anti-correlated gene clusters are highlighted (red colour in the top bar). a Correlation: Pearson (P) and Spearman (S) correlation coefficient between the experimental gene expression level and the predicted fluxes through the corresponding reaction for each individual metabolic gene (green: good correlation; yellow: no correlation; red: anti-correlation. b Proteome: Protein abundance observed in experimental time course data: red: high: green: low abundance, black: missing data (only a small subset of enzymes was quantified). Proteomics data from Thomas, et al. [60]. c Gene expression: Gene expression levels observed in the same experimental time course (red: high, blue: low expression). A much larger number of time course were studied than in the proteomics analysis. Gene expression data from Nieselt et al. [57]. d Predicted flux: Flux predicted during a simulated time course (green: high; red: low predicted flux). e Genome features: Selected genomic regions discussed in the text are annotated. The data is ordered based on the position of analysed genes in the reference genome (from left to right, from 161,237 bp to 8,468,158 bp). Genome sequence from Bentley et al. [2]