Evolution and statistics of biological regulatory networks
Author(s)Chandalia, Juhi Kiran, 1979-
Massachusetts Institute of Technology. Dept. of Physics.
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In this thesis, I study the process of evolution of the gene regulatory network in Escherichia coli. First, I characterize the portion of the network that has been documented, and then I simulate growth of the network. In this study, I assume that the network evolves by gene duplication and divergence. Initially, the duplicated gene will retain its old interactions. As the gene accumulates mutations, it gains new interactions and may or may not lose the old interactions. I investigate evidence for the duplication-divergence model by looking at the homology and regulatory networks in E. coli and propose a simple duplication-divergence model for growth. The results show that this simple model cannot fully account for the complexity in the real network fragment as measured by conventional metrics.
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Physics, 2005.Includes bibliographical references (p. 57-58).
DepartmentMassachusetts Institute of Technology. Department of Physics
Massachusetts Institute of Technology