Systems Biotechnology: Combined in Silico and Omics Analyses for the Improvement of Microorganisms for Industrial Applications - Systems Biology: Networks, Models, and Applications - page 201

Figure 7.4 An expression map showing an integrated view of transcriptome and
proteome profiles of E. coli during HCDC. The x -axis denotes cell concentration
(g DCW/l), and the y -axis denotes expression level in log 2 scale for the
transcriptome and in absolute value of volume % for the proteome. The one
located on either the left or the upper side of the two maps indicates the
transcriptome profile while the other one is the proteome profile. Only a single
map represents the transcriptome profile. A larger image is available from
http://mbel.kaist.ac.kr. For more details, see Yoon et al. [30]. Reproduced with
permission from Yoon et al. [30]. To view this figure in color, see the companion
web site for Systems Biology , http://www.oup.com/us/sysbio.
Therefore, the 2.31 Mbp genome sequence of this bacterium was
completely determined [38]. Based on the complete genome sequence,
a genome-scale in silico metabolic model composed of 373 reactions
and 352 metabolites was constructed. Metabolic flux analyses were
carried out under varying pH and gas conditions. CO 2 was found to
be important for cell growth as well as the carboxylation of phos-
phoenolpyruvate to oxaloacetate, which is then converted to succinic
acid by the reductive tricarboxylic acid cycle using fumarate as a
major electron acceptor. It was interesting to note that the presence of
CO 2 increased the glucose uptake rate and succinic acid formation rate