Mental model

Genetic Drift

Random changes in how common gene versions are across generations, especially in small, isolated populations.

Discover

Imagine gene versions being passed to a new generation through random draws, with no version favored. One version disappears. Must natural selection—differences in survival or reproduction linked to inherited characteristics—explain this loss?

Can random sampling explain the loss?

Learn how chance can change which gene versions remain.

Understand

Understand

Genetic drift is a change caused by chance in how common a gene version, called an allele, is in a population. Chance can make a version more common or cause it to disappear; losing a version reduces genetic variety. Drift especially affects small, isolated populations. Ask this: When you notice a change, could chance help explain it?

Full explanation

Full explanation

Genetic drift changes the frequency of an allele—the proportion represented by a particular gene version—through random chance. A version can disappear, reducing genetic variation, or become much more common. It can even become fixed, meaning it is the only version remaining at that gene location in the population. These are possible outcomes, not guaranteed ones. [1]

For a hypothetical sampling example, imagine ten cards representing gene copies: seven red and three blue. Draw a card, record its color, return it, and repeat ten times to represent a new generation. Your record may contain different proportions, or even no blue cards. This is a simplified illustration of random sampling, not evidence from an actual population.

The card example assumes every card has the same chance of being drawn. Natural selection is a different mechanism: inherited differences affect survival or reproduction and therefore influence which gene versions are passed on. [2] A mutation is a change in an organism's DNA sequence; this is different from a chance change in the frequency of an existing version. [3] A change in frequency alone does not tell you which mechanism caused it; the example isolates chance by assuming no version is favored.

The glossary emphasizes that drift primarily affects small, isolated populations. [1] In the card illustration, fewer draws give chance outcomes more influence over the resulting proportions. However, population size alone does not supply a numerical probability or a timetable for losing a version. The supplied source also gives no basis for claiming that a particular survival advantage guarantees fixation.

As an organizational analogy, imagine a small team losing its only practitioner of a useful work habit after a chance departure. The habit might disappear without anyone judging it ineffective. This illustrates how chance loss can change what remains, but workplace practices are not alleles, and this hypothetical analogy is not biological evidence.

Research

Research

  • NHGRI defines genetic drift as random fluctuations in the frequency of an allele, or gene version, within a population. The supplied excerpt offers a glossary explanation rather than results from a specific empirical study. [1]
  • Qualitative scope: The glossary identifies small, isolated populations as especially affected by drift and states that its effects can sometimes make traits overwhelmingly frequent or cause them to disappear. [1]
  • Possible outcomes: The narration explains that drift can eliminate existing gene variants and reduce genetic variation; initially rare alleles can also become more frequent or fixed. These are possibilities, not predictions for a particular population. [1]
  • The University of California Museum of Paleontology explains natural selection through variation, differential reproduction and inheritance. This distinguishes selection from random sampling alone. [2]
  • NHGRI defines mutation as a change in an organism's DNA sequence, distinct from a change in the frequency of an existing gene version. [3]

Limitations

Limitations

The supplied glossary gives no measured effect sizes, loss probabilities, generation counts, or threshold at which a survival advantage guarantees fixation. It therefore cannot support numerical forecasts from population size alone. The card example is a simplified model assuming equal sampling chances, and the team example is a hypothetical analogy. Neither is empirical evidence. A change in frequency by itself does not establish its cause.

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Sources

Sources

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Check your understanding

Two isolated bird populations begin with the same gene versions in the same proportions. Assuming otherwise comparable conditions, which population would generally be more affected by chance-driven loss of genetic variation?

Show the guide's explanation

Answer: Island A (50 birds)

The lesson identifies small, isolated populations as especially affected by drift. Island A is therefore the supported qualitative choice under the stated assumptions. These population sizes do not establish an exact probability or time to loss.

As a hypothetical organizational analogy, which scenario best resembles genetic drift? Assume the departure happens by chance and the work practice is not rejected for being ineffective.

Show the guide's explanation

Answer: Losing a unique work practice because the one person who did it left

The practice disappears through chance loss of its only practitioner, matching the lesson's analogy. This is an illustration of chance-driven loss, not evidence that organizational practices follow biological inheritance.

You are comparing possible causes of a change in gene-version frequencies. Which observation most directly supports natural selection rather than chance alone?

Show the guide's explanation

Answer: An inherited version improves survival or reproduction compared with another version

Natural selection involves inherited differences affecting survival or reproduction. A frequency change, loss in one population or small population size alone does not show that a version has that advantage. Drift concerns chance-driven changes.

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