What the exam asks
- Calculate allele frequencies ( and ), genotype frequencies (, , ), or the expected number of individuals of a given phenotype/genotype in a population.
- Describe the five conditions required for a population to remain in Hardy–Weinberg equilibrium.
- Explain how Hardy–Weinberg serves as a null hypothesis () for evolution.
- Determine whether a population is evolving by comparing observed counts or frequencies to Hardy–Weinberg expectations.
- Predict and justify how an environmental change, migration event, or mating shift alters allele or genotype frequencies.
Core ideas
The five conditions for equilibrium
A population is in Hardy–Weinberg equilibrium (meaning its allele and genotype frequencies remain constant from generation to generation) only if it meets five strict conditions. If a condition is violated, specific evolutionary changes occur:
| Condition for Equilibrium | Effect of Violating the Condition |
|---|---|
| 1. Extremely large population size | Genetic drift (random changes in allele frequencies, such as bottleneck or founder effects) occurs in small populations, often reducing genetic diversity and fixing or losing alleles. |
| 2. No migration (no gene flow) | Gene flow (immigration or emigration of fertile individuals or gametes) adds or removes alleles, directly changing allele frequencies ( and ). |
| 3. No net mutations | Mutations introduce brand-new alleles or convert one allele into another, directly changing allele frequencies. |
| 4. Random mating | Nonrandom mating (such as inbreeding or assortative mating) changes genotype frequencies (, , ) without directly changing allele frequencies ( and ). Inbreeding increases homozygosity ( and ) and decreases heterozygosity (). |
Hardy–Weinberg as a null hypothesis
No natural population ever meets all five conditions simultaneously. However, Hardy–Weinberg equilibrium is a powerful null hypothesis (): it models what a population’s genetic structure would look like if no evolution were occurring at a given locus. By comparing observed data from a real population against Hardy–Weinberg expected values (often using a chi-square test), biologists can detect whether evolutionary agents are acting on that gene and estimate the rate of change.