A MODEL FOR STREP THROAT INFECTION: DYNAMICS OF CONTINGENCY GENE SELECTION IN AN INFECTED HOST

An ordinary differential equations model for strep throat infection is constructed to compute the bacterial population densities of genotype combinations with binary switches in contingency genes. Theoretical analysis for the existence of solutions and the stability of the steady states is first pre...

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Main Author: Zhao, Yan
Other Authors: Glenn F. Webb
Format: Others
Language:en
Published: VANDERBILT 2005
Subjects:
Online Access:http://etd.library.vanderbilt.edu/available/etd-12032005-220126/
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spelling ndltd-VANDERBILT-oai-VANDERBILTETD-etd-12032005-2201262013-01-08T17:16:07Z A MODEL FOR STREP THROAT INFECTION: DYNAMICS OF CONTINGENCY GENE SELECTION IN AN INFECTED HOST Zhao, Yan Mathematics An ordinary differential equations model for strep throat infection is constructed to compute the bacterial population densities of genotype combinations with binary switches in contingency genes. Theoretical analysis for the existence of solutions and the stability of the steady states is first preformed. Numerical simulations are then performed to investigate how the bacterial population evolves from the initial state with all turned-off genes to a state with all turned-on genes. More simulations show how the mutation frequency, the selection rates, the number of contingency genes, and the carrying capacity of the population affect the domination of the class with all turned-on genes. To improve the efficiency of the computation, a modified model is developed. The asymptotic behavior of the first model and the modified model is proved to be the same under certain conditions on the mutation frequency and selection rates. The results from the simulations demonstrate the ability of the bacterial population to adapt to the host within a realistically observed time frame of 3 to 6 days. The models can be used to understand the important role of contingency genes in the capacity of the bacterial pathogen to adapt to a host. Glenn F. Webb Philip S. Crooke III Calvin F. Miller Guoliang Yu VANDERBILT 2005-12-20 text application/pdf http://etd.library.vanderbilt.edu/available/etd-12032005-220126/ http://etd.library.vanderbilt.edu/available/etd-12032005-220126/ en unrestricted I hereby certify that, if appropriate, I have obtained and attached hereto a written permission statement from the owner(s) of each third party copyrighted matter to be included in my thesis, dissertation, or project report, allowing distribution as specified below. I certify that the version I submitted is the same as that approved by my advisory committee. I hereby grant to Vanderbilt University or its agents the non-exclusive license to archive and make accessible, under the conditions specified below, my thesis, dissertation, or project report in whole or in part in all forms of media, now or hereafter known. I retain all other ownership rights to the copyright of the thesis, dissertation or project report. I also retain the right to use in future works (such as articles or books) all or part of this thesis, dissertation, or project report.
collection NDLTD
language en
format Others
sources NDLTD
topic Mathematics
spellingShingle Mathematics
Zhao, Yan
A MODEL FOR STREP THROAT INFECTION: DYNAMICS OF CONTINGENCY GENE SELECTION IN AN INFECTED HOST
description An ordinary differential equations model for strep throat infection is constructed to compute the bacterial population densities of genotype combinations with binary switches in contingency genes. Theoretical analysis for the existence of solutions and the stability of the steady states is first preformed. Numerical simulations are then performed to investigate how the bacterial population evolves from the initial state with all turned-off genes to a state with all turned-on genes. More simulations show how the mutation frequency, the selection rates, the number of contingency genes, and the carrying capacity of the population affect the domination of the class with all turned-on genes. To improve the efficiency of the computation, a modified model is developed. The asymptotic behavior of the first model and the modified model is proved to be the same under certain conditions on the mutation frequency and selection rates. The results from the simulations demonstrate the ability of the bacterial population to adapt to the host within a realistically observed time frame of 3 to 6 days. The models can be used to understand the important role of contingency genes in the capacity of the bacterial pathogen to adapt to a host.
author2 Glenn F. Webb
author_facet Glenn F. Webb
Zhao, Yan
author Zhao, Yan
author_sort Zhao, Yan
title A MODEL FOR STREP THROAT INFECTION: DYNAMICS OF CONTINGENCY GENE SELECTION IN AN INFECTED HOST
title_short A MODEL FOR STREP THROAT INFECTION: DYNAMICS OF CONTINGENCY GENE SELECTION IN AN INFECTED HOST
title_full A MODEL FOR STREP THROAT INFECTION: DYNAMICS OF CONTINGENCY GENE SELECTION IN AN INFECTED HOST
title_fullStr A MODEL FOR STREP THROAT INFECTION: DYNAMICS OF CONTINGENCY GENE SELECTION IN AN INFECTED HOST
title_full_unstemmed A MODEL FOR STREP THROAT INFECTION: DYNAMICS OF CONTINGENCY GENE SELECTION IN AN INFECTED HOST
title_sort model for strep throat infection: dynamics of contingency gene selection in an infected host
publisher VANDERBILT
publishDate 2005
url http://etd.library.vanderbilt.edu/available/etd-12032005-220126/
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