Cambridge International AS and A Level Biology 17: Selection and evolution

Study guide

Cambridge International Biology 9700 notes on variation, selection, Hardy-Weinberg calculations, breeding, evolution and speciation.

Selection and Evolution is Cambridge International Biology 9700 Topic 17. It connects genetic and environmental variation to statistical comparison, natural and artificial selection, allele-frequency change, Hardy-Weinberg calculations, DNA-sequence evidence and speciation. Theory owns population mechanisms, calculations and inference; measurement design and sample collection remain in the dedicated practical hub.

A selection and evolution map comparing sources of variation, three selection modes, drift and founder effects, artificial selection and allopatric or sympatric speciation

1. Sources of phenotypic variation

Phenotypic variation can arise from genetic factors, environmental factors or their interaction. Genetic differences include alleles, mutation, meiosis and fertilisation. Environmental effects include nutrition, temperature, light, disease, activity and experience.

Some traits are largely genetic, such as an ABO blood group. Others are strongly environmental within a genotype, such as a plant's growth under different mineral supplies. Many traits, including height and body mass, reflect both inherited potential and environment.

An environmental effect on phenotype does not automatically alter inherited DNA. A genetic predisposition also does not guarantee one phenotype under every environment.

2. Discontinuous and continuous variation

Discontinuous variation places individuals into distinct categories with no intermediates, such as ABO blood groups. It is commonly controlled by one or a few genes, so allele combinations produce separate outcomes. Environmental influence is often relatively limited.

Continuous variation spans a range with many intermediate values, such as height. It is usually polygenic: many loci each contribute a small effect. Environmental factors further broaden the distribution. Large samples commonly form an approximately normal distribution when many small influences combine.

The distinction concerns the observed pattern and genetic basis. Measuring a discontinuous category with numbers does not turn it into continuous variation.

3. Comparing two sample means with a t-test

A t-test evaluates whether the difference between two sample means is large relative to within-sample variation and sample size. Begin with a null hypothesis that the population means do not differ and any observed difference is due to chance sampling.

Use the supplied formula with sample means, spread and sizes. Determine degrees of freedom using the specified test, then compare the calculated t value with the critical value at the chosen probability, commonly 0.05. If calculated t exceeds the critical value, reject the null hypothesis.

A significant result supports a difference under the test conditions; it does not prove the tested factor alone caused it. Sampling, controls and confounding variables still matter. Theory owns the inference, while reliable measurement and sampling remain practical responsibilities.

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Sources

  1. Cambridge International AS and A Level Biology 9700 syllabus for 2025-2027