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The user has control over a number of variables in the simulation:
|Name||Description||Minimum Value||Maximum Value|
|Generations||The number of generations that the simulation runs for||0||10000|
|Population Size||The size of the population in the simulation||10||1000000|
|Initial Frequency||The initial frequency of allele A||0%||100%|
|Selection Strength||The selection strength in favour of allele A||-1||1|
|Dominance||How dominant allele A is||-2||2|
|A → a Mutation Rate||The chance of A mutating into a||0||.01|
|a → A Mutation Rate||The chance of a mutating into A||0||.01|
|Migration Rate||The rate of migration into the system being modelled||0%||100%|
|Migrant Allele Frequency||The percentage of migrating organisms that carry the allele A||0%||100%|
Under the default settings, the frequency of A is set at 50% and there is no selection pressure. You can experiment with unadulterated Genetic drift, like so:
You can then alter the population size and number of generations, to see how they change what is observed.
By decreasing the initial frequency down to 1%, increasing the selection pressure to, say, 10-3 (1.e-3) and raising both the population and the number of generations to their maximums you can see (after a possibly considerable wait) the shape of the curve produced by the action of positive selection from a small starting population:
- The scitus page