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@article{(International Science Index):http://waset.org/publications/10004895,
  title    = {Reconstruction of a Genome-Scale Metabolic Model to Simulate Uncoupled Growth of Zymomonas mobilis},
  author    = {Maryam Saeidi and  Ehsan Motamedian and  Seyed Abbas Shojaosadati},
  country   = {Iran, Islamic Republic Of},
  institution={Tarbiat Modares University},
  abstract  = {Zymomonas mobilis is known as an example of the
uncoupled growth phenomenon. This microorganism also has a
unique metabolism that degrades glucose by the Entner–Doudoroff
(ED) pathway. In this paper, a genome-scale metabolic model
including 434 genes, 757 reactions and 691 metabolites was
reconstructed to simulate uncoupled growth and study its effect on
flux distribution in the central metabolism. The model properly
predicted that ATPase was activated in experimental growth yields of
Z. mobilis. Flux distribution obtained from model indicates that the
major carbon flux passed through ED pathway that resulted in the
production of ethanol. Small amounts of carbon source were entered
into pentose phosphate pathway and TCA cycle to produce biomass
precursors. Predicted flux distribution was in good agreement with
experimental data. The model results also indicated that Z. mobilis
metabolism is able to produce biomass with maximum growth yield
of 123.7 g (mol glucose)-1 if ATP synthase is coupled with growth
and produces 82 mmol ATP gDCW-1h-1. Coupling the growth and
energy reduced ethanol secretion and changed the flux distribution to
produce biomass precursors.},
    journal   = {International Journal of Biological, Biomolecular, Agricultural, Food and Biotechnological Engineering},  volume    = {8},
  number    = {11},
  year      = {2014},
  pages     = {1306 - 1309},
  ee        = {http://waset.org/publications/10004895},
  url       = {http://waset.org/Publications?p=95},
  bibsource = {http://waset.org/Publications},
  issn      = {eISSN:1307-6892},
  publisher = {World Academy of Science, Engineering and Technology},
  index     = {International Science Index 95, 2014},
}