The rate of evolution, or evolvability, is a key component in understanding how populations can potentially adapt to a change in selection pressure. Understanding what and how a factor potentially affects the evolvability of a population can better help us understand the conceptual frameworks of how both individuals are selected and populations evolve. A novel individual based computer simulation written in C was used to collect in silico data. This study looks into how non-directional epistasis, the epistatic genetic architecture and pleiotropy affect the evolvability of a sexual diploid population of individuals. Factors, such as epistasis, have previously been seen as noise and have been dismissed in their potential to effect evolvability. This study found that the presence, the amount, and the genetic architecture of epistatic interactions all have an effect on evolvability. Pleiotropic effects are also considered within the simulations and are also found to affect the evolvability of a population. Interestingly, an interaction between the amount of epistasis and the selection pressure combinations leads to speculations that a change in epistatic background has the potential to effect how pleiotropy can affect evolvability.
|Advisor:||Carter, Ashley J. R.|
|Commitee:||Berlemont, Renaud, Stankowich, Theodore|
|School:||California State University, Long Beach|
|School Location:||United States -- California|
|Source:||MAI 56/06M(E), Masters Abstracts International|
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