Dissertation/Thesis Abstract

Localizing and quantifying evolutionary selective pressures
by Eames, Matt, Ph.D., University of California, San Francisco, 2010, 105; 3412277
Abstract (Summary)

Advances in sequencing methodologies have produced a data glut; our ability to generate sequences exceeds our ability to understand the evolutionary selective pressures that shape them. The work presented in thesis consists of a two-pronged approach to study these pressures. The first approach employs an informatics-based analysis of high-throughput experimental data to detect selective pressures within protein substructures. The second uses the lac operon to quantify the relative impact of three selective pressures by measuring fitness effects of mutations under different induction conditions. Our results confirm our ability to detect selective pressures at the protein substructure level, as well as measure different fitness effects for different types of mutations. Furthermore, we uncovered surprising revelations about the lac operon itself, one of the most well-studied experimental systems in molecular biology. Finally, I present the methods used in this research as a general and robust approach for testing evolutionary models.

Indexing (document details)
Advisor: Kortemme, Tanja
Commitee: Gross, Carol, Sali, Andrej
School: University of California, San Francisco
Department: Biophysics
School Location: United States -- California
Source: DAI-B 71/08, Dissertation Abstracts International
Source Type: DISSERTATION
Subjects: Molecular biology, Bioinformatics, Biophysics
Keywords: Evolutionary selective pressures, Lac operon, Sequencing
Publication Number: 3412277
ISBN: 9781124101149
Copyright © 2019 ProQuest LLC. All rights reserved. Terms and Conditions Privacy Policy Cookie Policy
ProQuest