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Molecular basis for evolving modularity in the yeast protein interaction network.

Ariel Fernández1

  • 1Department of Bioengineering, Rice University, Houston, Texas, United States of America. arifer@rice.edu

Plos Computational Biology
|November 14, 2007
PubMed
Summary
This summary is machine-generated.

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The yeast protein network evolved from an assortative to a modular structure, increasing resilience to hub failure. This shift in scale-free network topology enhances robustness against critical node disruptions.

Area of Science:

  • Systems biology
  • Network science
  • Evolutionary biology

Background:

  • Scale-free networks are characterized by a power-law distribution of node connectivities.
  • Network topologies can range from assortative (similar-degree connections) to modular structures.
  • The yeast protein network's topology and evolution are key to understanding biological systems.

Purpose of the Study:

  • To analyze the modularity and evolutionary trend of the yeast protein network.
  • To investigate the shift from assortative to modular topology in biological networks.
  • To understand the implications for network robustness and failure tolerance.

Main Methods:

  • Utilized a metric to quantify network modularity.
  • Employed orthologous node categorization to trace evolutionary trends.

Related Experiment Videos

  • Developed an algorithmic model with a specific connectivity accretion law.

    • Main Results:

    • The yeast protein network exhibits significant self-dissimilarity and a modular topology.
    • The network evolved from an assortative to a modular structure over time.
    • This evolution led to increased resilience against hub failure, unlike typical scale-free networks.
    • An algorithmic model reproduced this trend by disfavoring like-degree connections for high-degree nodes.

    Conclusions:

    • The evolutionary trend in the yeast protein network enhances robustness by preventing cascading failures from hub disruption.
    • The observed topological shift suggests an adaptive advantage for resilience in biological networks.
    • This evolutionary trajectory moves away from the inherent fragility of some scale-free network models.