1. Conclusions of Hardy-Weinberg Law
Given certain conditions, the genotype and allele frequencies of a population do not change over time.
In other words, the population does not evolve.
Therefore, we must examine what the conditions are, and what happens if they are not met.
By specifying the conditions under which evolution does not occur, H-W law identifies the potential causes of evolution and allows us to study them.

2. Conditions for H-W Equilibrium
Large, statistically predictable population.
Closed population; no immigration / emigration.
No net mutation.
Random mating.
Equal reproductive success of all genotypes.

3. Population Size
In a small population, gene frequencies can change merely due to chance.
Change in a small population: genetic drift
Temporarily small populations: bottlenecks
Populations that grow from a small pool of initial colonists: founder effect

5. Migration = “Gene Flow”
Only has an effect if the migrants are genetically different from the population as a whole.
A potential problem with introduction of exotic animals and plants.
But gene flow can also be a force keeping two populations similar, so they don’t evolve differences between them.

6. Mutation
Definition – heritable change in DNA. Usually caused by errors in replication.
Mutation can be caused by radiation or certain chemicals (mutagens).
However, cells have elaborate mechanisms to detect and repair mutations.

7. Mutation and population genetics
Mutation alone could change a population, if there were a strong net mutational pressure.
for example, if allele A mutates to a at a steady rate
But in reality, mutation is very rare and usually random in direction.
Mutation is very important as the ultimate source of all genetic variability.

8. Non-random mating Inbreeding – mating with relatives
reduces heterozygosity
Assortative mating – choosing mates based on phenotype
positive (mating like with like): has similar effects to inbreeding
negative (mating with different phenotype): increases variability of population

9. Differential reproductive success
If one genotype reproduces more successfully than others, its genes will become more common in future generations.
This is a formal statement of Darwin’s concept of natural selection.
Can be modeled mathematically:
Fitness (W) = reproductive success, with the most successful genotype assigned a value of W=1.
Selection coefficient (s) = 1-W

10. What about continuous variation?
Traits like height, weight, etc. are controlled by many genes (polygenic inheritance).
Could try to analyze using Hardy-Weinberg for multiple genes, but it gets too complicated.
Instead, we can simply look at the results of selection on the phenotype. This approach is called “quantitative genetics”.

12. 3 Patterns of Natural Selection
Directional selection:
One extreme more fit than the other.
Causes population mean to shift over time.
Stabilizing selection:
Both extremes are less fit than the intermediates.
Causes population to become less variable.
Disruptive selection:
Both extremes are more fit than the intermediates.
Causes population to become more variable, perhaps to have distinct polymorphisms (different forms).

14. Directional selection on polygenic traits can cause new phenotypes to appear in a population.
This appears to contradict the basic idea that selection does not create characters but only “sifts” existing variability, but in fact is easy to explain based on polygenic inheritance.
Assume that height of a giraffe is controlled by 5 genes, with the recessive form making the animal tall. If the genes act additively, the chance of being homozygous tall for a given gene is q2 and the chance of being homozygous tall for all eight genes is (q2)5 or q10.
If tall alleles are relatively rare (say q=0.2), then the chance of finding an extremely tall giraffe is = 1x10-7 or one in ten million. Since there are not ten million giraffes in the world, you would be very unlikely to ever see such an animal.
On the other hand, if selection drives q up to 0.8, then the chance of finding an extremely tall giraffe is which is about 0.1, or one in ten giraffes, a fairly common occurrence.

15. Sources of genetic variation
Mutation, while rare, is the ultimate source of variability. Mutations include:
Point mutation: replacing one base with another.
Frame-shift mutations: adding or deleting a base.
Chromosomal rearrangements: inversions/translocations
Additions or losses of chromosomes (aneuploidy)
Additions of whole sets of chromosomes (polyploidy)

16. Recombination
Recombination is a very powerful force for making new genotypes with existing variation.
Recombination includes:
independent assortment during meiosis, which combines maternal with paternal traits.
crossing-over, which separates linked genes
fertilization, which combines alleles into a new generation.
Meiosis and sexual reproduction have probably evolved as a means of generating variation, because variation leads to adaptability.