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What I've shown you so far applies only to a haploid population with
two individuals. Even I will admit that it isn't a very interesting
situation. Suppose, however, we now consider a populaton with
diploid individuals. We can treat it as if it were a population of
haploid individuals using a direct analogy to the process I
described earlier, and then things start to get a little more
interesting.
We can then write a general expression for how allele frequencies will
change between generations. Specifically, the distribution
describing the probability that there will be
copies of
in
the next generation given that there are
copies in this generation
is
i.e., a binomial distribution. I'll be astonished if any of what I'm about to say is
apparent to any of you, but this equation implies three really
important things. We've encountered two already:
- Allele frequencies will tend to change from one generation to
the next purely as a result of sampling error. As a consequence,
genetic drift will eventually lead to loss of all alleles in the
population except one.
- The probability that any allele will eventually become fixed in
the population is equal to its current frequency.
- The population has no memory.8 The probability that the offspring
generation will have a particular allele frequency depends only on the allele frequency in the parental generation. It does
not depend on how the parental generation came to have that allele
frequency. This is exactly analogous to coin-tossing. The probability
that you get a heads on the next toss of a fair coin is 1/2. It
doesn't matter whether you've never tossed it before or if you've just
tossed 25 heads in a row.9
Subsections
Next: Variance of allele frequencies
Up: Genetic Drift
Previous: A simple example
Kent Holsinger
2012-09-23