MathBench > Population Dynamics

Mutation and Equilibrium

blue-haired granny
>Episode 2: Hardy and Weinberg to the rescue

What stories a graph can tell.

 

"I had a grandmother with blue hair," remarked the OA moodily.

The Assistant pushed on, “In fact, even if you could find a legal way to get all the blue-haired people to segregate themselves, as soon as that restriction was taken away and pairing off reasonably randomly, the equilibrium proportions would return within ONE SINGLE GENERATION."

“How can that be?”

“Because every generation of random mating is like taking ALL the alleles and throwing them in a blender. They all get paired up randomly – and that means the equilibrium proportions are right back again, like magic. Like pulling a rabbit out of a hat.

“You mean like pulling a random hare out of a hat.”

“Well, yes,” the Assistant admitted. “It all depends on random assortative mating…”

“Kinky,” said the OA.

The Assistant rolled his eyes. “It just means that love is blind … to hair color anyway. It would mean that people with blue hair are not biased towards other people with blue hair -- or against them either.”

“But love isn't blind. Tall people marry tall people, for example.”

“True, but I didn't say love had to be completely blind. Just blind to that particular trait, hair color.

 

Proportions of heterozygotes

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Looking at the graph below, what is the range of possible proportions for carriers in a randomly mating population?

I think I have the answer: 0-50%

the genotype graph

When are carriers most common?

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Looking at the graph above, under what conditions are carriers most common?

I think I have the answer: p = .33 to .66