Biology · Lesson 21
Population Genetics
Evolution happens to populations, not to single animals. Population genetics counts the alleles in a population and asks why their numbers change from one generation to the next.
This lesson builds on Evolution and DNA and Genetics and adds the maths: Hardy-Weinberg, drift, gene flow and selection.
A model, not real data: five runs of genetic drift in a population of 20, from the simulator in section 3.
- 1The gene pool
- 2Hardy-Weinberg
- 3Genetic drift
- 4Flow, mutation and selection
- 5Sickle cell and malaria
- 6How do we know?
1. The gene pool
A gene pool is every copy of every allele in a population. In DNA and Genetics you followed one family through a Punnett square. Here we count a whole population at once.
Take one gene with two alleles, A and a. Each person carries two copies, so a population of 100 holds 200 copies. If 60 of those copies are a, the allele frequency of a is 60 ÷ 200 = 0.3. We call it q, and the frequency of A is p. Since every copy is one or the other, p + q = 1.
Genotype frequencies count people instead of copies: the share who are AA, Aa or aa. They add up to 1 as well.
2. Hardy-Weinberg
In 1908 a British mathematician, G. H. Hardy, and a German physician, Wilhelm Weinberg, each showed independently that in a large, randomly mating population the frequencies of alleles tend to stay the same from one generation to the next unless outside forces act on them (see Britannica). In this way even the rarest alleles are kept rather than dying out (see Britannica).
If alleles combine at random, the chance of AA is p × p, of aa is q × q, and of Aa is 2pq, since a child can get A from either parent. So the genotype frequencies are
p² + 2pq + q² = 1
The law holds only if five conditions are met (see Britannica):
- The population is very large, so chance does not shift frequencies.
- Mating is random.
- There is no natural selection.
- There is no mutation.
- There is no migration in or out, which is to say no gene flow.
Real populations never meet all five. That is the point: if measured frequencies drift away from p², 2pq and q², one of these forces is at work. Medical geneticists also use the law to estimate how many people carry a recessive allele (see Britannica).
Worked example. About 1 in 400 Black people worldwide has sickle cell anemia, which needs two copies of the HbS allele (see Britannica). So q² = 1 ÷ 400 = 0.0025, and q = √0.0025 = 0.05. Then p = 1 − 0.05 = 0.95, and carriers make up 2pq = 2 × 0.95 × 0.05 = 0.095, about 1 in 11. Britannica gives about 1 in 12 as carriers (see Britannica). The two are close but not identical: Hardy-Weinberg gives an idealized estimate, and real populations break its conditions, here through selection, as section 5 shows, and through mixing between groups.
Explore: Hardy-Weinberg calculator
Turn on JavaScript to move the slider. Genotype frequencies for a few values of q:
| q | p | AA, p² | Aa, 2pq | aa, q² |
|---|---|---|---|---|
| 0.10 | 0.90 | 0.81 | 0.18 | 0.01 |
| 0.30 | 0.70 | 0.49 | 0.42 | 0.09 |
| 0.50 | 0.50 | 0.25 | 0.50 | 0.25 |
| 0.70 | 0.30 | 0.09 | 0.42 | 0.49 |
| 0.90 | 0.10 | 0.01 | 0.18 | 0.81 |
Values rounded to two decimal places, or four below 0.01. The "Set q²" button lets you start from how common the recessive trait is, as in the worked example.
3. Genetic drift
Genetic drift is change in a gene pool by chance alone. The alleles passed to the next generation are a sample of the parents' alleles, and a small sample can be far from typical. The smaller the population, the bigger the swings. Drift can make an allele common or wipe it out whether it helps survival or not; once only one allele is left, that allele is fixed (see Britannica). The Evolution simulator showed drift as a wobble on top of selection. Here it is on its own.
Bottlenecks. When a population crashes, the survivors carry only part of the old gene pool. Northern elephant seals fell to 20 to 100 animals in the 1890s, and now number over 175,000. Old museum seals from before the crash had four mitochondrial DNA types in just five animals, but more than 150 seals from 1892 on have only two (see Weber and others).
Founder effect. When a few people start a new, closed population, their alleles become that population's gene pool. Ellis-van Creveld syndrome, a recessive condition causing short limbs, extra fingers and heart defects, affects about 1 in 60,000 to 200,000 newborns in most places (see MedlinePlus). It is far more common among the Old Order Amish of Lancaster County, Pennsylvania, where the parents of nearly all early cases trace back to one immigrant couple from the mid-1700s (see Alahmadi and Sharma).
Explore: genetic drift simulator
Population of 20: after 50 generations, 1 of 5 runs fixed the allele, 2 lost it and 2 still have both. Turn on JavaScript to change the population size. With 500 individuals, the runs barely move from 0.5.
A model, not real data. Each line is one population starting at a frequency of 0.5. Every generation, each new gene copy is drawn at random from the last generation, with no selection, mutation or migration. The random numbers come from a fixed seed, so the first run is always the same.
4. Gene flow, mutation and selection
Besides drift, three outside forces break the Hardy-Weinberg balance: selection, mutation and migration (see Britannica).
- Gene flow is migration of alleles, as when individuals or pollen move between populations. It makes neighbouring gene pools more alike.
- Mutation makes new alleles. DNA and Genetics shows how a single base change does it.
- Natural selection changes frequencies when one genotype leaves more offspring than another. Over many generations the alleles it favours become commoner (see Britannica).
Drift and selection can work together. Fisher, Haldane and Wright each built mathematical arguments using mutation rates, population size and patterns of reproduction to tie Darwin's selection to Mendel's genes (see Britannica).
Explore: which force is it?
Turn on JavaScript to play. Here are the answers:
| Case | Force | Why |
|---|---|---|
| Northern elephant seals fell to 20 to 100 animals by the 1890s. Today there are over 175,000, but with little genetic variation. | Bottleneck | A crash in numbers squeezed the gene pool, a bottleneck. |
| Ellis-van Creveld syndrome is far more common among the Old Order Amish of Pennsylvania, traced to one immigrant couple of the 1700s. | Founder effect | A small group of founders carried the allele into a new, closed population: a founder effect. |
| The sickle cell allele stays common where malaria is widespread, because carriers resist malaria. | Natural selection | Carriers survive malaria better, so selection keeps the allele: heterozygote advantage. |
| Imagine: a storm kills nine in ten beetles on a hillside, at random. | Bottleneck | A random crash leaves a small, unrepresentative sample: a bottleneck. |
| Imagine: a few lizards ride a log to an empty island and start a new population there. | Founder effect | The few founders carry only part of the old gene pool: a founder effect. |
| Imagine: wind carries pollen from one meadow to a meadow with different alleles. | Gene flow | Alleles moving between populations is gene flow. |
The seal, Amish and sickle cell cases come from Weber and others, Alahmadi and Sharma and Britannica. Cases starting with "Imagine" are made up for practice.
5. Sickle cell and malaria
Sickle cell anemia comes from a variant hemoglobin, HbS. People with two copies have red cells that bend into stiff sickles when oxygen is low and block small blood vessels. People with one copy carry the sickle cell trait and mostly have no symptoms (see Britannica).
So why is a harmful allele common in a broad belt across Africa? Carriers resist malaria. When a malaria parasite invades a carrier's red cell, the cell sickles and is destroyed, and the parasite with it (see Britannica). Where malaria is common, carriers survive better than people with no HbS, while people with two copies suffer from the disease. This is heterozygote advantage: selection favours the Aa genotype, so both alleles stay in the gene pool. Anthony Allison reported this protection in 1954 (see Allison).
6. How do we know?
The field began with two short papers and grew into the maths behind modern evolution.
- 1908 G. H. Hardy, a British mathematician, publishes "Mendelian Proportions in a Mixed Population", a two-page note in Science. (Hardy)
- 1908 Wilhelm Weinberg, a German physician, reaches the same law independently. (Britannica)
- 1918 (printed 1919) R. A. Fisher publishes his paper linking Mendelian inheritance to the variation seen between relatives. (Fisher)
- 1931 Sewall Wright publishes "Evolution in Mendelian Populations". J. B. S. Haldane's The Causes of Evolution follows in 1932. (Wright; Britannica)
- 1954 Anthony Allison reports that the sickle cell trait protects against malaria. (Allison)
- 1968 Motoo Kimura calculates that DNA changes so fast that many of the mutations involved must be neutral, the start of the neutral theory. (Kimura)
- 2000 DNA from museum elephant seals shows how much variation the 1890s bottleneck removed. (Weber and others)
Quiz: Population genetics check
Talk about it
- No real population meets all five Hardy-Weinberg conditions. Why is the law still useful?
- Why might a rare recessive allele be common in one small community but rare everywhere else?
- In the drift model, why do runs with 500 individuals hardly move?
- If malaria were wiped out, what would you expect to happen to the HbS allele over many generations?
Sources
- Encyclopaedia Britannica. Hardy-Weinberg law. britannica.com
- Encyclopaedia Britannica. Genetic drift. britannica.com
- Encyclopaedia Britannica. Sickle cell anemia. britannica.com
- Encyclopaedia Britannica. J. B. S. Haldane. britannica.com
- MedlinePlus Genetics, U.S. National Library of Medicine. Ellis-van Creveld syndrome. medlineplus.gov
- Alahmadi, M. H. and Sharma, S. (2026). Ellis-van Creveld Syndrome, Chondroectodermal Dysplasia. StatPearls. StatPearls Publishing. PubMed 42475457
- Hardy, G. H. (1908). Mendelian proportions in a mixed population. Science 28: 49–50. doi:10.1126/science.28.706.49
- Fisher, R. A. (1919). The correlation between relatives on the supposition of Mendelian inheritance. Transactions of the Royal Society of Edinburgh 52: 399–433. doi:10.1017/S0080456800012163
- Wright, S. (1931). Evolution in Mendelian populations. Genetics 16: 97–159. doi:10.1093/genetics/16.2.97
- Allison, A. C. (1954). Protection afforded by sickle-cell trait against subtertian malarial infection. British Medical Journal 1: 290–294. doi:10.1136/bmj.1.4857.290
- Kimura, M. (1968). Evolutionary rate at the molecular level. Nature 217: 624–626. doi:10.1038/217624a0
- Weber, D. S., Stewart, B. S., Garza, J. C. and Lehman, N. (2000). An empirical genetic assessment of the severity of the northern elephant seal population bottleneck. Current Biology 10: 1287–1290. doi:10.1016/S0960-9822(00)00759-4