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Mapping Bacterial Functional Networks and Pathways in Escherichia Coli using Synthetic Genetic Arrays
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Published on: November 12, 2012

Quantifying and analyzing the network basis of genetic complexity.

Ethan G Thompson1, Timothy Galitski

  • 1Institute for Systems Biology, Seattle, Washington, United States of America.

Plos Computational Biology
|July 14, 2012
PubMed
Summary

Researchers defined genetic complexity as the excess of genotypic over phenotypic diversity. This definition helps analyze genetic systems, identify key network components, and engineer biological systems.

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Area of Science:

  • Systems biology
  • Genetics
  • Computational biology

Background:

  • Genotype-to-phenotype maps are complex, but a quantitative definition of genetic complexity is lacking.
  • Understanding genetic complexity is crucial for deciphering biological systems.

Purpose of the Study:

  • To derive a quantitative definition of genetic complexity.
  • To investigate the consequences of this definition in model genetic systems.
  • To analyze the genetic complexity of the Saccharomyces cerevisiae cell cycle network.

Main Methods:

  • Defined genetic complexity as the surplus of genotypic diversity over phenotypic diversity.
  • Applied this definition to Boolean network models.
  • Analyzed network topology, in-degree distribution, and attractor numbers.
  • Examined the cell cycle network of Saccharomyces cerevisiae.

Main Results:

  • The in-degree distribution and number of periodic attractors determine relative complexity in Boolean networks.
  • Genetically complex networks are often difficult to control or exhibit hierarchical structures.
  • Identified key genes and interactions contributing to the high genetic complexity of the yeast cell cycle network.

Conclusions:

  • The derived definition provides a quantitative tool for comparing genetic complexities across systems.
  • This definition enables the identification of network elements critical for genetic complexity.
  • The framework can guide the engineering of biological systems with specific genetic properties.