Phenotypic constraints promote latent versatility and carbon efficiency in metabolic networks.

@article{Bardoscia2014PhenotypicCP,
  title={Phenotypic constraints promote latent versatility and carbon efficiency in metabolic networks.},
  author={Marco Bardoscia and Matteo Marsili and Areejit Samal},
  journal={Physical review. E, Statistical, nonlinear, and soft matter physics},
  year={2014},
  volume={92 1},
  pages={
          012809
        }
}
System-level properties of metabolic networks may be the direct product of natural selection or arise as a by-product of selection on other properties. Here we study the effect of direct selective pressure for growth or viability in particular environments on two properties of metabolic networks: latent versatility to function in additional environments and carbon usage efficiency. Using a Markov chain Monte Carlo (MCMC) sampling based on flux balance analysis (FBA), we sample from a known… 
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