Difficulty: Medium
Correct Answer: Random changes or fluctuations in allele frequencies within a population due to chance events
Explanation:
Introduction / Context:
Genetic drift is a key concept in evolutionary biology and population genetics. It describes how allele frequencies in a population can change over time due to random sampling effects, especially in small populations. This question asks you to identify the statement that best captures the meaning of genetic drift, distinguishing it from other processes like gene flow and artificial selection.
Given Data / Assumptions:
Concept / Approach:
Genetic drift refers to random fluctuations in allele frequencies that occur from one generation to the next because only a subset of individuals reproduce. In small populations, chance events such as which individuals survive and reproduce can have a large impact, causing some alleles to become more common or disappear entirely, even if they do not confer any selective advantage or disadvantage. This is different from gene flow, which is movement of alleles between populations, and different from artificial selection or eugenics, which involve purposeful breeding decisions made by humans.
Step-by-Step Solution:
1. Focus on the term random. Genetic drift is driven by chance events rather than directional natural selection.
2. Realise that genetic drift affects allele frequencies within a population from one generation to the next.
3. In very small populations, random events such as who happens to reproduce or survive can cause an allele present in only a few individuals to be lost or fixed purely by chance.
4. Option A describes exactly this process: random changes in allele frequencies due to chance events in a population.
5. Option B describes combining alleles to create variation, which is more closely related to sexual reproduction and recombination, not directly to drift.
6. Option C describes movement of alleles between populations, which is gene flow or migration, not drift.
7. Option D describes a human directed breeding programme, which would be artificial selection or eugenics, not genetic drift.
8. Therefore, the best description of genetic drift is given by option A.
Verification / Alternative check:
Classic examples of genetic drift include the founder effect and bottleneck effect. In the founder effect, a small group breaks off from a larger population and starts a new population, carrying with it only a subset of the original genetic variation. In the bottleneck effect, a population is drastically reduced in size by a catastrophe, leaving a small, random sample of individuals and alleles. In both cases, changes in allele frequencies are due to chance survival or colonisation events, illustrating the randomness characteristic of genetic drift.
Why Other Options Are Wrong:
- The combining of alleles to create more genetic variation within a population through deliberate mating: This describes sexual reproduction or intentional breeding and does not emphasise random changes in allele frequencies over time.
- The movement of alleles between populations caused by migration of individuals: This is gene flow, which can counteract drift by introducing new alleles, but is conceptually different from random fluctuations within a population.
- A planned method to reduce the number of inferior genes in a population by selective breeding: This refers to artificial selection or eugenics, which involve conscious human decisions, not random processes.
Common Pitfalls:
Students sometimes confuse genetic drift with natural selection, thinking both require a fitness difference. In genetic drift, alleles can rise or fall in frequency even if they are neutral. Another error is to mix up gene flow and drift, when gene flow is about migration between populations and drift is about random sampling within a population. Keeping the idea of randomness and small population effects at the centre of the definition helps to avoid these confusions.
Final Answer:
Genetic drift is best described as random changes or fluctuations in allele frequencies within a population due to chance events.
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