http://precedings.nature.com/tags/evolvability Recently posted documents tagged with 'evolvability' Nature Publishing Group en Nature Precedings http://precedings.nature.com/images/header_logo.gif http://precedings.nature.com http://precedings.nature.com/documents/2610/version/1 The analysis of network topology and dynamics is increasingly used for the description of the structure, function and evolution of complex systems. Here we summarize key aspects of the evolvability and robustness of the hierarchical network-set of macromolecules, cells, organisms, and ecosystems. Listing the costs and benefits of cooperation as a necessary behaviour to build this network hierarchy, we outline the major hypothesis of the paper: the emergence of hierarchical complexity needs cooperation leading to the ageing of the constituent networks. Local cooperation in a stable environment may lead to over-optimization developing an ‘always-old’ network, which ages slowly, and dies in an apoptosis-like process. Global cooperation by exploring a rapidly changing environment may cause an occasional over-perturbation exhausting system-resources, causing rapid degradation, ageing and death of an otherwise ‘forever-young’ network in a necrosis-like process. Giving a number of examples we explain how local and global cooperation can both evoke and help successful ageing. Finally, we show how various forms of cooperation and consequent ageing emerge as key elements in all major steps of evolution from the formation of protocells to the establishment of the globalized, modern human society. Thus, ageing emerges as a price of complexity, which is going hand-in-hand with cooperation enhancing each other in a successful community. http://precedings.nature.com/documents/2610/version/1 Fri, 05 Dec 2008 21:01:30 UTC Ageing as a price of cooperation and complexity: Self-organization of complex systems causes the ageing of constituent networks hdl:10101/npre.2008.2610.1 2008-12-05 Peter Csermely Nature Precedings 2008-12-05T21:01:30Z Manuscript Genetics & Genomics Bioinformatics Evolutionary Biology http://creativecommons.org/licenses/by/3.0/ http://dx.doi.org/10.1038/npre.2007.26.1 Progress in uncovering the protein interaction networks of several species has led to questions of what underlying principles might govern their organization. Few studies have tried to determine the impact of protein interaction network evolution on the observed physiological differences between species. Using comparative genomics and structural information, we show here that eukaryotic species have rewired their interactomes at a fast rate of approximately 10?5 interactions changed per protein pair, per million years of divergence. For Homo sapiens this corresponds to 103 interactions changed per million years. Additionally we find that the specificity of binding strongly determines the interaction turnover and that different biological processes show significantly different link dynamics. In particular, human proteins involved in immune response, transport, and establishment of localization show signs of positive selection for change of interactions. Our analysis suggests that a small degree of molecular divergence can give rise to important changes at the network level. We propose that the power law distribution observed in protein interaction networks could be partly explained by the cell’s requirement for different degrees of protein binding specificity. http://dx.doi.org/10.1038/npre.2007.26.1 Fri, 02 Mar 2007 11:42:42 UTC Specificity and Evolvability in Eukaryotic Protein Interaction Networks doi:10.1038/npre.2007.26.1 2009-03-23 Pedro Beltrao Nature Precedings 2007-03-02T11:42:42Z Presentation Bioinformatics Evolutionary Biology http://creativecommons.org/licenses/by/2.5/