17.1.217-18 · Selection, Evolution, Classification and Conservation
Variation- Discontinuous and Continuous — Cambridge AS & A Level Biology 9700 Revision Notes & Topical Questions
5 min read 11 parts Lesson 3 of 36 1 quiz
Lesson summary
17.1.2 Variation: Discontinuous and Continuous — CAMBRIDGE AS & A LEVEL BIOLOGY 9700 — REVISION NOTES notes: Distinguish discontinuous from continuous variation in terms of genetic control, data form and graph form.Variation — the differences between at least two things in level,…
- Intraspecific variation
- Discontinuous variation
- Other examples
- Caused solely by genetic factors
- Caused by an interaction between genetics and the environment
- Standard deviation
Part 1 of 9Variation within a species
Variation
- Variation the differences between at least two things in level, presence, quantity or feature.
Intraspecific variation
- Intraspecific variation differences between individuals of the same species, which is the variation relevant to natural selection.
Phenotypic variation can be qualitative or quantitative.
- Qualitative differences give discontinuous variation.
- Quantitative differences give continuous variation.
Part 2 of 9Discontinuous variation
Discontinuous variation
- Discontinuous variation qualitative differences that fall into discrete, distinguishable categories with no intermediates.
- A feature cannot lie between categories.
- Examplethere are four ABO blood groups and a person has only one of them.
Identified from a table or graph by its distinct categories.
- Data are qualitative or counts of categories.
- Shown on a bar chart with gaps between the bars, or on a pie chart.
Other examples
- Other examples presence or absence of a feature such as tongue rolling, and purple or white flower colour in peas.
Part 3 of 9Continuous variation
Continuous variation
- Continuous variation quantitative differences with a full range of values between two extremes and no categories.
- Examplethe mass or height of humans.
- Othersleaf length and heart rate.
Identified from a table or graph by the lack of categories and the presence of a range of values.
- Data are measurements, shown on a histogram with no gaps or a frequency polygon.
- With a large sample the shape is often a symmetrical, bell-shaped normal distribution.
Part 4 of 9Genetic basis of discontinuous variation
Genetic basis of discontinuous variation
Caused solely by genetic factors
- Caused solely by genetic factors the environment has no direct effect.
At the genetic level, different alleles at a single gene locus have a large effect on the phenotype.
- A diploid organism inherits two alleles of each gene, which may be the same or different.
Typically controlled by one or a few genes, each with a large effect.
- Examplethe F8 gene codes for blood clotting protein Factor VIII.
- Its alleles decide whether normal Factor VIII is made and so whether the person has haemophilia.
Part 5 of 9Genetic basis of continuous variation
Genetic basis of continuous variation
Caused by an interaction between genetics and the environment
- Caused by an interaction between genetics and the environment phenotype = genotype + environment.
Different alleles at a single locus have only a small effect on the phenotype.
Different genes can have the same effect on the phenotype, and these effects add together (additive effect).
- A large number of genes with a combined effect on one phenotype are called polygenes.
Part 6 of 9Additive effect of genes
Additive effect of genes
Two unlinked genes H/h and T/t both affect plant height additively.
- Each recessive allele (h, t) contributes x cm of height.
- Each dominant allele (H, T) contributes 2x cm of height.
Total height is the sum of the contributions of all four alleles, so genotypes give a range of heights.
- hhtt gives 4x cm, Hhtt or hhTt gives 5x cm, HhTt gives 6x cm.
- HHTt or HhTT gives 7x cm, and HHTT gives 8x cm.
The effect of each gene is not always equal, so always check the information given about the genes concerned.
Part 7 of 9Comparing discontinuous and continuous variation
| Feature | Discontinuous | Continuous |
|---|---|---|
| Type of difference | Qualitative | Quantitative |
| Categories | Distinct classes, no intermediates | Full range of values |
| Genes | One or few, large effect each | Many (polygenes), small additive effects |
| Environment | No direct effect | Large effect |
| Graph | Bar chart or pie chart | Histogram or normal curve |
| Example | ABO blood group | Human height |
Part 8 of 9Describing a normal distribution
Mean
- Mean shows the centre of the distribution.
Standard deviation
- Standard deviation measures how spread out the data are around the mean.
- A small standard deviation means values cluster close to the mean.
- A large one means a wide spread, so two samples with the same mean can differ in variability.
In a normal distribution about 68% of values lie within one standard deviation of the mean and about 95% within two.
Skewed distribution
- Skewed distribution has a longer tail on one side;
- a bimodal distribution has two peaks and may indicate two groups in the population.
Selection can change the distribution of a characteristic over time by shifting the mean or narrowing the spread.
Part 9 of 9More from the specification
More from the specification
Comparison of Means Using Student's t-Test
- The Student's t-test statistically compares the sample means of continuous variables between two populations to establish whether differences are statistically significant or attributable to random chance.
Degrees of Freedom and Critical Values
- The calculated t-value is evaluated against critical values from statistical distribution tables using degrees of freedom; if probability p < 0.05, the null hypothesis is rejected.
- (df = n₁ + n₂ - 2)
Chi-Squared Test in Genetics
- In genetic crosses involving random fusion of gametes, the chi-square (χ²) test is used on categorical discontinuous data to test whether observed phenotypic ratios differ significantly from Mendelian expectations.
t-test
- Test comparing the means of two data sets.
Significant
- Less than 5% probability that the difference is due to chance.
Probability
- The chance that an offspring has a given genotype or phenotype.
Hypothesis
- A testable prediction with a scientific explanation.
Gamete
- A haploid sex cell.
Chromosome
- A thread-like structure of DNA carrying genes.
Significant difference
- A difference unlikely to be due to chance (p ≤ 0.05).
Statistically significant
- A difference with a probability of less than 5% of being due to chance.
Key terms
| Term | Meaning |
|---|---|
| Discontinuous variation | Qualitative differences falling into distinct categories with no intermediates. |
| Continuous variation | Quantitative differences giving a full range of values between two extremes. |
| Intraspecific variation | Variation between individuals of the same species. |
| Polygene | One of many genes that together have an additive effect on one phenotype. |
| Additive effect | Combined effect of several genes or alleles adding together to determine a phenotype. |
| Normal distribution | Symmetrical, bell-shaped distribution of a continuous characteristic around the mean. |
| Standard deviation | A measure of how spread out data are around the mean. |
Avoid these mistakes
1
Saying continuous variation has no genetic basis — it is polygenic as well as environmental.
2
Saying discontinuous variation is affected by the environment — it is determined by genes only.
3
Drawing a bar chart with gaps for continuous data — a histogram with no gaps (or a curve) is used for continuous data.
4
Assuming every gene has the same additive effect — read the effect given for each allele.
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