Models of microbial dynamics : from genetic exchange to ecological interactions
Abstract/Contents
- Abstract
- How can physics approaches illuminate evolutionary and ecological dynamics? This thesis contains two physics-style toy models in these areas. Fine-scale diversity within traditionally defined species is observed to be maintained over long timespans. How can ecological interactions lead to such coexistence? Previous ap- proaches have required conditions less reasonable for closely-related strains. Chapter 1 introduces a model in which structured interactions allow such strains to coexist in a state of spatio-temporal chaos with broad distributions of abundances. The dynamics of many interacting strains are understood using methods from statistical physics. Genetic exchange in microbial populations can be rare enough that evolution is almost entirely asexual. What is the benefit of such rare genetic exchange? In Chapter 2, a minimal model is presented to understand how the speed of evolution depends quantitatively on the rate of genetic exchange. The rates needed for initial speed ups are found to decrease as a power of the population size and the evolution exhibits spontaneous oscillations.
Description
Type of resource | text |
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Form | electronic resource; remote; computer; online resource |
Extent | 1 online resource. |
Place | California |
Place | [Stanford, California] |
Publisher | [Stanford University] |
Copyright date | 2019; ©2019 |
Publication date | 2019; 2019 |
Issuance | monographic |
Language | English |
Creators/Contributors
Author | Pearce, Michael Thomas Theodore |
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Degree supervisor | Fisher, Daniel S |
Thesis advisor | Fisher, Daniel S |
Thesis advisor | Sherlock, Gavin |
Thesis advisor | Silverstein, Eva, 1970- |
Degree committee member | Sherlock, Gavin |
Degree committee member | Silverstein, Eva, 1970- |
Associated with | Stanford University, Department of Physics. |
Subjects
Genre | Theses |
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Genre | Text |
Bibliographic information
Statement of responsibility | Michael Thomas T. Pearce. |
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Note | Submitted to the Department of Physics. |
Thesis | Thesis Ph.D. Stanford University 2019. |
Location | electronic resource |
Access conditions
- Copyright
- © 2019 by Michael Thomas Theodore Pearce
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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