Models of microbial dynamics : from genetic exchange to ecological interactions

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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
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
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
Genre Text

Bibliographic information

Statement of responsibility Michael Thomas T. Pearce.
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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