Evolution and statistics of biological regulatory networks
Name
61356668-MIT.pdf
Description
Full printable version
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2.46 MB
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Author(s)
Chandalia, Juhi Kiran, 1979-
Advisor(s)
Leonid Mirny.
Date Issued
2005
Publisher
Massachusetts Institute of Technology
Abstract
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.
Description
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Physics, 2005.
Includes bibliographical references (p. 57-58).
Subjects
Physics.
MIT Department
Massachusetts Institute of Technology. Department of Physics
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