Omic data from evolved E. coli are consistent with computed optimal growth from genome ‐ scale models by Nathan E Lewis, Kim K Hixson, Tom M Conrad, Joshua.

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Presentation transcript:

Omic data from evolved E. coli are consistent with computed optimal growth from genome ‐ scale models by Nathan E Lewis, Kim K Hixson, Tom M Conrad, Joshua A Lerman, Pep Charusanti, Ashoka D Polpitiya, Joshua N Adkins, Gunnar Schramm, Samuel O Purvine, Daniel Lopez ‐ Ferrer, Karl K Weitz, Roland Eils, Rainer König, Richard D Smith, and Bernhard Ø Palsson Mol Syst Biol Volume 6(1):390 July 27, 2010 ©2010 by European Molecular Biology Organization

A variant of flux balance analysis shows consistency with proteomic and transcriptomic data. Nathan E Lewis et al. Mol Syst Biol 2010;6:390 ©2010 by European Molecular Biology Organization

In adaptive evolution through serial passaging, E. coli evolves to a higher growth rate and biomass yield at exponential growth. Nathan E Lewis et al. Mol Syst Biol 2010;6:390 ©2010 by European Molecular Biology Organization

pFBA classes are consistent with omic data. Nathan E Lewis et al. Mol Syst Biol 2010;6:390 ©2010 by European Molecular Biology Organization

Proteins and genes associated with metabolic processes dominate differential expression in evolved strains. Nathan E Lewis et al. Mol Syst Biol 2010;6:390 ©2010 by European Molecular Biology Organization

The subnetwork providing optimal growth emerges in adaptively evolved strains. Nathan E Lewis et al. Mol Syst Biol 2010;6:390 ©2010 by European Molecular Biology Organization

Null hypotheses and P ‐ values from hypergeometric tests involving the presence of pFBA classes in the upregulated and downregulated genes and proteins. Nathan E Lewis et al. Mol Syst Biol 2010;6:390 ©2010 by European Molecular Biology Organization