Honors Theses
Date of Award
Spring 5-6-2026
Document Type
Undergraduate Thesis
Department
Biology
First Advisor
Peter Zee
Second Advisor
Brice Noonan
Third Advisor
Yixin Chen
Relational Format
Dissertation/ Thesis
Abstract
Understanding how populations persist under changing environmental conditions is a central question in ecology and evolutionary biology. Variation in traits related to resource acquisition may play a key role in determining population survival when resources are limited or fluctuate over time. In this study, I investigated how variation in feeding-related traits influences population persistence using a combination of computational modeling and laboratory experiments. I developed a stochastic, individual-based consumer–resource model to simulate population dynamics across varying levels of trait variance and resource regimes. Across 60,000 simulated populations, increased trait variation consistently reduced extinction risk and extended persistence time, although the strength of this effect depended on resource dynamics. Populations with little to no variation exhibited the highest extinction probabilities. To test whether such variation exists in biological systems, I measured feeding behavior across a genetically diverse set of Caenorhabditis elegans strains using bioluminescent bacteria as a proxy for resource consumption. Results revealed the existence of variation among strains in feeding rates and depletion dynamics, with greater variability emerging over time. Together, these findings demonstrate that trait variation in resource acquisition can influence population persistence and highlight the ecological importance of genetic diversity under resource limitation.
Recommended Citation
King, Jacob, "Quantifying Genetic Diversity in Nematode Feeding Rate" (2026). Honors Theses. 3509.
https://egrove.olemiss.edu/hon_thesis/3509
Included in
Computational Biology Commons, Evolution Commons, Genetics Commons, Other Ecology and Evolutionary Biology Commons, Population Biology Commons