Published November 9, 2007 | Version v1
Journal article Open

Molecular Basis for Evolving Modularity in the Yeast Protein Interaction Network

  • 1. University of Chicago

Description

Scale-free networks are generically defined by a power-law distribution of node connectivities. Vastly different graph topologies fit this law, ranging from the assortative, with frequent similar-degree node connections, to a modular structure. Using a metric to determine the extent of modularity, we examined the yeast protein network and found it to be significantly self-dissimilar. By orthologous node categorization, we established the evolutionary trend in the network, from an "emerging" assortative network to a present-day modular topology. The evolving topology fits a generic connectivity distribution but with a progressive enrichment in intramodule hubs that avoid each other. Primeval tolerance to random node failure is shown to evolve toward resilience to hub failure, thus removing the fragility often ascribed to scale-free networks. This trend is algorithmically reproduced by adopting a connectivity accretion law that disfavors like-degree connections for large-degree nodes. The selective advantage of this trend relates to the need to prevent a failed hub from inducing failure in an adjacent hub. The molecular basis for the evolutionary trend is likely rooted in the high-entropy penalty entailed in the association of two intramodular hubs.

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Additional details

Identifiers

DOI
10.1371/journal.pcbi.0030226
Other
oai:uchicago.tind.io:10215

Funding

National Institutes of Health
R01-GM072614
John and Ann Doerr Fund for Computational Biomedicine

UChicago Information

Division(s)
Physical Sciences Division
Department(s)
Computer Science