test Browse by Author Names Browse by Titles of Works Browse by Subjects of Works Browse by Issue Dates of Works
       

Advanced Search
Home   
 
Browse   
Communities
& Collections
  
Issue Date   
Author   
Title   
Subject   
 
Sign on to:   
Receive email
updates
  
My Account
authorized users
  
Edit Profile   
 
Help   
About T-Space   

T-Space at The University of Toronto Libraries >
School of Graduate Studies - Theses >
Master >

Please use this identifier to cite or link to this item: http://hdl.handle.net/1807/29990

Title: Genome-scale Dynamic Modeling of the Competition Between Rhodoferax and Geobacter in Anoxic Subsurface Environments
Authors: Zhuang, Kai
Advisor: Radhakrishna, Mahadevan
Department: Chemical Engineering and Applied Chemistry
Keywords: systems biology
model
Issue Date: 16-Sep-2011
Abstract: In situ bioremediation by Fe(III) reducers is a strategy for clean-up of ground water through reductive immobilization. The dynamics of the community involved is complex and needs to be understood better for improving the bioremediation. Here, we have created a dynamic genome-scale metabolic model of Geobacter sulfurreducens and Rhodoferax ferrireducens, the two primary iron-reducers in subsurface environments, in order to understand the community competition prior to and during uranium- bioremediation. The simulation results suggest that the community competition is modulated by two factors: the ability of G. sulfurreducens to fix nitrogen under ammonium limitation, and a rate vs. yield trade-off between these two organisms. This model will be an important tool for the analyses of more complex microbial communities and the design of effective uranium-bioremediation strategies.
URI: http://hdl.handle.net/1807/29990
Appears in Collections:Master

Files in This Item:

File Description SizeFormat
Zhuang_Kai_20103_MASc_thesis.pdf6.26 MBAdobe PDF
View/Open

This item is licensed under a Creative Commons License
Creative Commons

Items in T-Space are protected by copyright, with all rights reserved, unless otherwise indicated.

uoft