New PDF release: Evolutionary Systems Biology

New PDF release: Evolutionary Systems Biology

By Maureen A. O’Malley (auth.), Orkun S. Soyer (eds.)

The ebook goals to introduce the reader to the rising box of Evolutionary platforms Biology, which ways classical structures biology questions inside an evolutionary framework. An evolutionary technique may well permit figuring out the importance of saw range, discover “evolutionary layout ideas” and expand predictions made in version organisms to others. furthermore, evolutionary structures biology can generate new insights into the adaptive panorama through combining molecular platforms biology versions and evolutionary simulations. This perception can let the improvement of extra precise mechanistic evolutionary hypotheses.

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Extra info for Evolutionary Systems Biology

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Cork JM, Purugganan MD (2004) The evolution of molecular genetic pathways and networks. BioEssays 26:479–484 97. Proulx SR, Promislow DEL, Phillips PC. 2005. Network thinking in ecology and evolution. Trends Ecol Evol 20:345–353 98. Feist AM, Palsson BØ (2008) The growing scope of genome-scale metabolic reconstructions using Escherichia coli. Nat Biotechnol 26:659–667 99. Schuetz R, Keupfer L, Sauer U (2007) Systematic evaluation of objective functions for predicting intracellular fluxes in Escherichia coli.

Soyer OS, Goldstein RA (2011) Evolution of response dynamics underlying bacterial chemotaxis. BMC Evol Biol 11:240 28. Hey J, Fitch WM, Ayala FJ (2005) Systematics and the origin of species: an introduction. Proc Natl Acad Sci USA 102 (Suppl. 1):6515–6519 29. Hughes AL (2005) Gene duplication and the origin of novel proteins. Proc Natl Acad Sci USA 102:8791–8792 30. Papp B, Notebaart RA, P´al C (2011) Systems-biology approaches for predicting genome evolution. Nat Rev Genet 12:591–602 31. Peters RH (1976) Tautology in evolution and ecology.

The reason becomes clear if one considers that most amino acid substitutions will reduce rather than increase an enzyme’s activity, and thus reduce the metabolic flux that the enzyme can support. The observation that fewer amino acid changes can be tolerated in enzymes with high flux means that reduced flux in such enzymes is more likely to have adverse consequences for the organism, and that such enzymes are thus likely to be eliminated via natural selection. In other words, the biological function of a metabolic network constrains the evolution of its parts by point mutations.

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