Date Thesis Awarded
5-2018
Access Type
Honors Thesis -- Access Restricted On-Campus Only
Degree Name
Bachelors of Science (BS)
Department
Mathematics
Advisor
Leah Shaw
Committee Members
Helen Murphy
Lawrence Leemis
Abstract
Biofilms are microbial communities that are anchored to a surface and enmeshed in a protective extracellular matrix, shielding the microorganisms from antibiotics and other environmental hazards. As such, eradication of biofilms in medical and industrial settings can be challenging. These communities require individuals to cooperate and produce goods that will be used by all members. Thus, these cooperators are susceptible to cheaters who do not produce public goods, yet benefit from them. However, some cooperators can exhibit kin recognition, in which case they cooperate exclusively with themselves and not with another cell type such as a cheater. In which conditions does a cheater strain dominate cooperators exhibiting kin recognition? We use a stochastic spatial simulation to simulate the inoculation and growth of a yeast biofilm and to model social interactions between strains such as cooperation, competition, cheating and kin recognition. We vary social interaction parameters and define quantitative metrics to measure spatial segregation and cell distribution throughout and at the outside surfaces of a biofilm. These metrics help explain how social interactions affect a biofilm spatially. Understanding the spatial effect of social interactions on a biofilm can eventually help determine the optimum conditions for designing an engineered cheater strain to disrupt cooperative yeast biofilms or yeast infections.
Recommended Citation
Sur, Aparajita, "Modeling Social Interactions of Yeast Biofilms with a Stochastic Spatial Simulation" (2018). Undergraduate Honors Theses. William & Mary. Paper 1212.
https://scholarworks.wm.edu/honorstheses/1212
