Hardy-Weinberg Equilibrium
BIOL 101: Hardy-Weinberg Equilibrium Study Notes
Introduction
Topics discussed include the conditions necessary for non-evolution, the concepts of evolution in relation to allele frequency, and Hardy-Weinberg calculations.
Important terms include:
Hardy-Weinberg Equilibrium: A model that describes a non-evolving population.
Key Ideas
Hardy-Weinberg Model Overview
The Hardy-Weinberg model represents a theoretical framework for understanding genetic variation in a population that is not evolving.
This model can be viewed as a baseline from which evolutionary changes can be measured.
Historical Figures
Godfrey Hardy: An English mathematician known for his work in population genetics.
Wilhelm Weinberg: A German obstetrician who independently derived the same conclusions as Hardy.
Both Hardy and Weinberg contributed to the foundation of the Hardy-Weinberg equilibrium model.
Conditions for Non-Evolution
Five Conditions for Hardy-Weinberg Equilibrium
To maintain a non-evolving population, the following five conditions must be met:
Mutations: Must be absent (no new genetic variations).
Population Size: Must be large (effectively infinite) to avoid genetic drift.
Immigration/Emigration: Must be none (no gene flow).
Mating: Must occur randomly (no preferences).
Reproductive Success: Must be equal (no natural selection favoring one genotype over another).
Table of Conditions
Condition | Status |
|---|---|
Mutations | None (mutations create genetic variation) |
Population Size | Large (effectively infinite) |
Immigration/Emigration | None (no gene flow between populations) |
Mating | Random (no preferences) |
Reproductive Success | Equal (no natural selection) |
Genetic Variation and Evolution
The Hardy-Weinberg model describes an idealized state against which genetic variations in nature can be measured. It allows for the detection of evolutionary changes by indicating deviations from the equilibrium state.
This means by defining what non-evolution looks like, we can identify evolution in action in natural populations.
Hardy-Weinberg Calculations
Population Example: Butterflies
Population Data: Total number of butterflies = 1000
490 AA (dark-blue wings)
420 Aa (medium-blue wings)
90 aa (white wings)
Genotype Frequencies
Calculate the genotype frequencies using the following formulas:
Dark blue (AA): \frac{490}{1000} = 0.49
Medium blue (Aa): \frac{420}{1000} = 0.42
White (aa): \frac{90}{1000} = 0.09
Allele Frequencies
Total alleles in the population = 2000 (since each butterfly has 2 alleles)
Frequency of allele A:
A = \frac{(490 \text{ AA}) \times 2 + (420 \text{ Aa})}{2000} = \frac{1400}{2000} = 0.7
Frequency of allele a:
a = \frac{(90 \text{ aa}) + (420 \text{ Aa})}{2000} = \frac{600}{2000} = 0.3
Predicting Next Generation Genotype Frequencies
If the population remains in Hardy-Weinberg equilibrium,
The frequencies in the next generation will remain:
AA (0.49)
Aa (0.42)
aa (0.09)
Evolutionary Conditions
Conditions Leading to Evolution
If evolution were to occur, the following conditions would be present:
Condition | Status |
|---|---|
Mutations | Yes |
Population Size | Small |
Immigration/Emigration | Yes |
Mating | Non-random (selection involved) |
Reproductive Success | Unequal (natural selection present) |
Hardy-Weinberg Equations
Allele Frequencies: p + q = 1
Where p is the frequency of the dominant allele (A), and q is the frequency of the recessive allele (a).
Genotype Frequencies: p^2 + 2pq + q^2 = 1
Where
p^2 = frequency of homozygous dominant (AA)
2pq = frequency of heterozygous (Aa)
q^2 = frequency of homozygous recessive (aa)
Examples and Applications
Blue-footed Boobies Case Study
Example given where frequency of recessive allele (w) is 0.4:
Frequency of non-webbed feet = 1 - q^2 ext{(for recessive trait)}
If q = 0.4 then p = 1 - 0.4 = 0.6.
Case Study for Cystic Fibrosis
4% of individuals are homozygous recessive (aa), hence:
q^2 = 0.04
ightarrow q = 0.2
ightarrow p = 0.8Calculate heterozygote frequency: 2pq = 2(0.8)(0.2) = 0.32 ext{ (approx. 1 in 3)}
Conclusion
The Hardy-Weinberg equilibrium provides a crucial framework for understanding allele and genotype frequencies in non-evolving populations. Through its application, one can gain insights into the evolutionary pressures acting on real populations.