Biology – Quantitative Biology – Molecular Networks
Scientific paper
2011-03-27
Proc. Natl. Acad. Sci. USA 108, 3124-3129 (2011)
Biology
Quantitative Biology
Molecular Networks
Scientific paper
10.1073/pnas.1009772108
Gene-knockout experiments on single-cell organisms have established that expression of a substantial fraction of genes is not needed for optimal growth. This problem acquired a new dimension with the recent discovery that environmental and genetic perturbations of the bacterium Escherichia coli are followed by the temporary activation of a large number of latent metabolic pathways, which suggests the hypothesis that temporarily activated reactions impact growth and hence facilitate adaptation in the presence of perturbations. Here we test this hypothesis computationally and find, surprisingly, that the availability of latent pathways consistently offers no growth advantage, and tends in fact to inhibit growth after genetic perturbations. This is shown to be true even for latent pathways with a known function in alternate conditions, thus extending the significance of this adverse effect beyond apparently nonessential genes. These findings raise the possibility that latent pathway activation is in fact derivative of another, potentially suboptimal, adaptive response.
Cornelius Sean P.
Lee Joo Sang
Motter Adilson E.
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