Evolution of complex modular biological networks.

摘要: Biological networks have evolved to be highly functional within uncertain environments while remaining extremely adaptable. One of the main contributors robustness and evolvability biological is believed their modularity function, with modules defined as sets genes that are strongly interconnected but whose function separable from those other modules. Here, we investigate in silico evolution complex artificial metabolic encode an increasing amount information about environment acquiring ubiquitous features biological, social, engineering networks, such scale-free edge distribution, small-world property, fault-tolerance. These evolve differ predictability, allow us study topological, information-theoretic, gene-epistatic points view using new tools do not depend on any preconceived notion modularity. We find for our well yeast protein-protein interaction network, synthetic lethal gene pairs consist mostly redundant lie close each therefore modules, knockdown suppressor farther apart often straddle suggesting rescue mediated by alternative pathways or The combination network together genetic data constitutes a powerful approach dissect role networks.