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Field · Emerged 1908 – 1947

Population Genetics

How do gene frequencies change in populations, and is that enough to explain evolution?

5 chapters4 min read5 turning points1 open problem

Branched from
Evolutionary Biology + Genetics
Branched into
Conservation Biology + Genomics
Figures
G. H. Hardy, Wilhelm Weinberg, Ronald Fisher, J. B. S. Haldane, Sewall Wright, Theodosius Dobzhansky, Motoo Kimura

In brief

Population genetics describes evolution as change in how common different gene versions are in a population, and works out mathematically what makes those frequencies change: natural selection, random chance, mutation, and migration. It was built between 1918 and the 1940s to reconcile Darwin's natural selection with Mendel's genetics, which for twenty years had seemed to contradict each other.

The result, called the Modern Synthesis, made natural selection working on Mendelian genes the central theory of biology. It is also where much of modern statistics was invented.

Key ideas

Allele frequency

The fraction of copies of a gene in a population that are a particular version. In this view, evolution is change in allele frequencies over generations.

Hardy–Weinberg equilibriumEnters 1908

With no selection, drift, mutation or migration, allele frequencies stay constant and genotypes settle at p2:2pq:q2p^2 : 2pq : q^2. It is the null model against which evolution is measured.

Fitness and selectionEnters 1930 – 1932

Fitness is an allele's average contribution to future generations. Even a 1% advantage spreads an allele through a large population in a few thousand generations.

Genetic driftEnters 1930 – 1932

Random fluctuation in allele frequencies because only some individuals happen to reproduce. It matters most in small populations and can fix or lose alleles regardless of their effect.

Neutral theoryEnters 1968

Kimura's proposal that most changes at the level of DNA are neither helpful nor harmful and spread by drift, which makes the molecular "clock" tick at a steady rate.

Draws on other domains

Chapter I

Two Camps That Could Not Agree

The rediscovery of Mendel in 1900 should have rescued Darwin. It did the opposite. The early Mendelians, led by William Bateson, saw evolution in the sudden jumps of discrete mutations and thought gradual natural selection was unnecessary. The biometricians, led by Karl Pearson and W. F. R. Weldon, measured continuous traits like height, which vary smoothly and do not look Mendelian at all, and defended gradual selection. For nearly twenty years the two camps fought, often bitterly, and evolutionary biology and genetics pulled apart.

The first bridge came from mathematics. In 1908 G. H. Hardy, a pure mathematician who took pride in the uselessness of his own work, answered a biologist's question in a short letter. Mendelian inheritance alone does not change allele frequencies. Wilhelm Weinberg found the same result independently. Evolution needs a force that changes the frequencies, and natural selection was the obvious candidate.

Chapter II

The Mathematics of Evolution

Ronald Fisher ended the feud in 1918. Many Mendelian genes, each with a small effect, add up to exactly the smooth variation and family resemblances the biometricians measured. Discrete inheritance and continuous traits were compatible after all. To prove it he invented new statistics, including the analysis of variance.

Over the next fourteen years Fisher, J. B. S. Haldane and Sewall Wright built a full mathematical theory of evolution in terms of allele frequencies. They worked out how fast selection spreads a favourable allele, how mutation supplies new variation, how migration mixes populations, and how chance, genetic drift, can fix or erase alleles in small populations. Fisher and Wright disagreed for the rest of their lives about how much evolution is selection and how much is drift.

Chapter III

The Synthesis

The mathematics convinced mathematicians. Theodosius Dobzhansky convinced naturalists. His Genetics and the Origin of Species (1937) showed the theory at work in wild fruit-fly populations. Ernst Mayr explained how new species arise when populations are isolated, George Gaylord Simpson reconciled the fossil record, and Julian Huxley named the result the Modern Synthesis. By the late 1940s natural selection acting on Mendelian genes was the framework of all of biology. Dobzhansky later summed it up: "Nothing in biology makes sense except in the light of evolution."

Chapter IV

A Closer Look: Carriers and the Speed of Selection

Hidden alleles. Cystic fibrosis affects about 1 in 2,500 babies of northern European descent. It is recessive: a child is affected only with two copies of the faulty allele. If the allele has frequency qq and mating is random, Hardy and Weinberg's rule says a fraction q2q^2 of people carry two copies. So

q2=12500,q=150=0.02.q^2 = \frac{1}{2500}, \qquad q = \frac{1}{50} = 0.02 .

The fraction who carry exactly one copy is 2pq2pq, with p=1−q=0.98p = 1 - q = 0.98:

2pq=2×0.98×0.02≈0.039,2pq = 2 \times 0.98 \times 0.02 \approx 0.039 ,

about 1 person in 25. For every affected child there are about a hundred healthy carriers. This is why selection against rare recessive diseases is so slow: almost all copies of the allele are hidden in carriers, where selection cannot see them.

Selection at work. Now take an allele that gives its carriers a 1% advantage in survival or reproduction, a difference far too small to notice in any one family. Fisher and Haldane showed how its frequency changes. When the allele's effect adds up in each copy, the time to rise from a frequency of 1% to 99% is roughly

t≈1sln⁡ ⁣(0.99/0.010.01/0.99)=ln⁡98010.01≈920 generations.t \approx \frac{1}{s} \ln\!\left(\frac{0.99/0.01}{0.01/0.99}\right) = \frac{\ln 9801}{0.01} \approx 920 \text{ generations} .

For humans, with generations of about 25 years, that is some 23,000 years. For bacteria dividing every half hour, it is under three weeks. On the timescale of evolution this is almost instantaneous. Haldane's calculations of this kind convinced biologists that small, invisible advantages were enough to drive evolution, and they are why antibiotic resistance spreads through bacterial populations within years of a new drug's introduction.

Chapter V

Molecules and Neutrality

When protein and DNA sequences arrived in the 1960s, they held a surprise. Species carried far more molecular variation, and changed at a steadier rate, than selection-driven theory expected. Motoo Kimura proposed in 1968 that most molecular changes are neutral and drift at random, and the neutralist–selectionist debate is still running. That debate is now fought with whole genomes, which is where population genetics meets genomics.

Applications

Where it is used

  • Statistics↗ Mathematics · Probability Theory

    The invention of modern statistical method

    Much of modern statistics was invented to do population genetics and agricultural science. Fisher introduced the analysis of variance, randomised experiments and maximum likelihood, now used in every field that runs experiments, from medicine to economics.

    › Sources (1)
    • Fisher, R. A. (1935). The Design of Experiments. Oliver & Boyd.
  • Conservation

    Genetic rescue of endangered populations

    Small, isolated populations lose diversity to drift and suffer from inbreeding. When only a few dozen Florida panthers remained, eight female pumas from Texas were released among them in 1995. Heart defects and other inbreeding problems fell, and the population grew, as population-genetic theory predicted.

    › Sources (1)
  • Human history

    Reading migrations from gene frequencies

    Differences in allele frequencies between populations record their history: when they split, how large they were, and when they mixed. These methods underlie the reconstruction of humanity's spread out of Africa and of later migrations.

Open problems

Where the map runs out

Open

Lewontin's paradox

Open as of 2026; candidate explanations exist, but none accounts for the full pattern.

Simple theory says a species' genetic diversity should scale with its population size. Yet diversity varies less than a thousandfold across animal species whose populations differ by many orders of magnitude, from whales to insects. Richard Lewontin highlighted the puzzle in 1974.

Why it is hard

Candidate explanations include selection at linked sites sweeping away diversity, fluctuating population sizes that keep diversity low, and differences in mutation rate. Each accounts for part of the pattern, and measuring long-term population sizes and selection across many species is difficult.

What resolving it unlocks

It would reveal how strongly natural selection shapes whole genomes, and improve the tools used to reconstruct species' histories from their DNA.

› Sources (2)

Further reading

  1. Provine, W. B. (1971). The Origins of Theoretical Population Genetics. University of Chicago Press.

    The history of the biometrician–Mendelian feud and its mathematical resolution.

  2. Mayr, E. & Provine, W. B. (eds.) (1980). The Evolutionary Synthesis: Perspectives on the Unification of Biology. Harvard University Press.

    Participants and historians look back on the Modern Synthesis.

  3. Hartl, D. L. & Clark, A. G. (2007). Principles of Population Genetics (4th ed.). Sinauer Associates.

    The standard textbook.