Population genetics
Population Genetics Notes
Hardy-Weinberg Equilibrium
Definition: A principle that states gene frequencies remain stable in a population under certain assumptions.
Assumptions for Hardy-Weinberg Equilibrium:
1. Mating is random: The selection of mates is not influenced by their genotypes.
2. No selection: All genotypes have equal chances of survival and reproduction.
3. No mutation: Allele frequencies remain unchanged as there are no new alleles introduced.
4. No migration: The population is closed, meaning there is no influx or outflow of individuals.
5. Large population: The population is sufficiently large to minimize random sampling errors (no genetic drift).
Equation: , where:
= frequency of the dominant allele
= frequency of the recessive allele
= frequency of homozygous dominant individuals
= frequency of heterozygous individuals
= frequency of homozygous recessive individuals
Genetic Drift
Definition: A process where allele frequencies change in small populations due to random chance.
Implications: Over generations, populations may become increasingly different or diverge in allele frequencies due to drift.
Chance of allele disappearance: Small populations are particularly vulnerable to the random loss of alleles from the gene pool.
Example:
Polydactyly in Maritime cats: A trait that is more common due to genetic drift in a small population of cats.
Additional Example:
Rabbit population:
Changes in allele frequencies ( and ) with each generation.
In the third generation, for instance, a specific allele (e.g., the b allele) may be lost due to random chance, leading to the absence of white rabbits in future generations.
Effect of Population Size on Genetic Drift
Observation: Smaller populations experience more significant changes in allele frequencies due to genetic drift.
Graphical Representation:
Demonstrates the relationship between population size and the degree of drift.
Founder Effect
Definition: A phenomenon that occurs when a small founding population leads to changes in gene frequency due to chance.
Example:
Severe combined immunodeficiency (SCID) in Arabian horses:
An autosomal recessive disease represented as (cc).
In England:
Frequency: (1% of Arabians have the disease) thus .
In Australia, two stallions imported from England (both carriers, Cc) resulted in a higher frequency of affected foals:
17/204 = 8.3 ext{%} of foals affected.
Breed Introduction
Definition: The process of introducing a breed to a new area, leading to possible changes in gene frequencies.
Characteristics:
Often involves a relatively small founding population.
Gene frequency in the new area may significantly differ from the original population.
Examples:
Holsteins introduced to Kenya.
Llamas to California.
Rare dog breeds brought to Canada.
Population Bottleneck
Definition: A significant reduction in population size for one or more generations, leading to altered allele frequencies and loss of genetic diversity.
Examples:
North American Bison: Historical reductions in population size.
White Park cattle: Endangered after WWII with only 4 herds remaining in the 1960s.
Cheetahs: Other endangered species undergoing population bottlenecks.
Consequences:
Show ring practices and artificial insemination (AI) often promote the use of a limited number of sires, further reducing genetic diversity.
For example, 20 years ago, one Saler bull was present in over 70% of pedigrees.
Gene Flow
Definition: The recurrent exchange of new alleles between subpopulations through migration.
Two Extremes:
Panmictic Population:
Free exchange of breeding individuals without geographic barriers.
Genetic Isolates:
Subpopulations breed solely within themselves, referred to as a “closed” herd.
Cline
Definition: The phenotypic gradient across geographical regions influenced by gene flow.
Characteristics:
Gene flow is greatest between adjacent populations.
Comparison of Zebras:
Exhibit varied phenotypes depending on geographical overlap (e.g., Grevy's vs. Grant's zebra).
Migration
Definition: Change in gene frequencies due to the transfer of genetic material between populations.
Migratory Patterns:
In the wild, migrations may occur due to natural movements (e.g., crossing rivers).
In domestic animals, migration often occurs through the buying or selling of animals (e.g., acquiring new stock for a herd).
Gene Flow Dependent Factors:
Rate of immigration.
Differences in gene frequencies between populational generations.
Mathematical Representation of Migration:
New allele frequency given by:
where:
= island recessive allele frequency
= mainland recessive allele frequency
= proportion of immigrants in the island population.
Examples of Migration Effects
Pig Company Case Study:
A closed herd buys in Berkshire boars to establish a colored crossbred boar line.
Initial allele frequencies:
Yorkshire (white) (all dominant)
Berkshire (black) (allele frequency).
After one generation:
(40% of the new generation is expected to express the recessive trait).
Impact Over Multiple Generations:
For continued gene flow effects, the formula becomes:
where:
= number of generations.
Example for Livestock Selection
Loan Example:
Goal: Buy more red cattle with a loan for improved profitability.
Current herd: 80 cows (only 9% red).
Buying new heifers (20, with 64% red) will modify the herd's genetics over 3 generations (considering generation intervals).
Mathematical Calculation Results:
Following the formula, should yield approximately 30% of calves being red after three generations.
Changing the scenario to buying new bulls (3 from the herd) will yield 55% red calves, indicating a quicker genetic improvement and success.
Regulatory Considerations:
Regulatory Impact on Migration:
Import and export regulations can inhibit migration.
Examples include:
Canada’s restrictions due to disease (e.g., foot and mouth disease).
Australia's demands for genetic assessments (karyotyping).
Summary of Migration Effectiveness
The success of gene flow is influenced by:
Rate of migration and the difference in allele frequencies.
Decision-making on whether to acquire more individuals or genetically superior stock is vital for optimizing outcomes.
As proximity to a genetic goal increases, the achievable genetic changes tend to diminish.