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🧬 Pure Biology 6093 📊 Unfamiliar Contexts

Biology Data-Based Questions

Data-based questions (DBQs) appear throughout O-Level Biology Paper 2. They present real-world biological data in tables, graphs, or diagrams and ask you to read, calculate, describe, and explain — often in contexts you haven't seen before. The biology is familiar; the context is new. Practice reading carefully before answering.

📖 Read the data firstCheck axes, units, and what is being compared before answering anything.
📏 Use figuresAlways quote specific values from the data to support your description or comparison.
🔗 Link to biologyDescribe the trend, then explain it using the correct biological mechanism.
Scenario 1 · Plant Nutrition
Effect of CO₂ Concentration on Rate of Photosynthesis
A scientist measured the rate of photosynthesis in a tomato leaf at two different light intensities (low and high) as CO₂ concentration increased from 0.01% to 0.10%. The rate was measured as cm³ of O₂ produced per hour. The temperature was kept constant at 25°C throughout.
Table 1 — Rate of O₂ production (cm³/hour)
CO₂ concentration / % Low light intensity High light intensity
0.0123
0.02510
0.04 (atmospheric)822
0.06934
0.08942
0.10942
(a) Describe the effect of increasing CO₂ concentration on the rate of photosynthesis at HIGH light intensity. Quote data in your answer. [3]
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Mark scheme [3]
  • As CO₂ concentration increases from 0.01% to 0.08%, the rate of photosynthesis increases (from 3 to 42 cm³/hour) [1]
  • The rate increases rapidly at first (e.g. from 3 to 22 cm³/hr as CO₂ goes from 0.01% to 0.04%) [1]
  • Above 0.08% CO₂, the rate plateaus at 42 cm³/hour — increasing CO₂ further has no effect [1]
Must quote at least two data values for full marks.
(b) At LOW light intensity, the rate stops increasing above 0.06% CO₂. Explain what is limiting the rate at this point. [2]
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Mark scheme [2]
  • CO₂ is no longer the limiting factor — another factor is now limiting the rate [1]
  • At low light intensity, light is the limiting factor — there is insufficient light energy for the light-dependent reactions, so increasing CO₂ cannot increase the rate further [1]
(c) At 0.04% CO₂, the rate at high light intensity (22 cm³/hr) is more than double the rate at low light intensity (8 cm³/hr). Explain why light intensity affects the rate of photosynthesis. [3]
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Mark scheme [3]
  • Light provides the energy for the light-dependent stage of photosynthesis [1]
  • Higher light intensity provides more energy to split water molecules (photolysis) and produce ATP and NADPH [1]
  • More ATP and NADPH are available for the light-independent stage (Calvin cycle) to fix CO₂ into glucose → faster overall rate of photosynthesis [1]
(d) A greenhouse grower increases CO₂ to 0.10% and doubles the light intensity. Predict whether the rate of photosynthesis will increase further from 42 cm³/hr. Justify your answer. [2]
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Mark scheme [2]
  • Yes, the rate is likely to increase further [1]
  • At 0.10% CO₂ with high light intensity, the plateau suggests another factor (temperature or enzyme activity) is now limiting; doubling light intensity alone at higher CO₂ could increase rate if the experiment data was recorded at a light intensity that was still sub-maximal [1] — OR: the rate may not increase if temperature is now the limiting factor at 25°C, as enzyme activity in the Calvin cycle is limiting [1]
Accept either a reasoned "yes" or "no/maybe" answer as long as the correct limiting factor concept is applied.
Scenario 2 · Health & Disease
Malaria Incidence and Mosquito Control in Two Regions
Malaria is caused by the Plasmodium parasite, transmitted by female Anopheles mosquitoes. A health authority monitored malaria cases per 100,000 people in two regions (A and B) over 8 years. Region B introduced mosquito-control measures at the start of Year 3.
Table 2 — Malaria cases per 100,000 people
YearRegion A (no intervention)Region B (control from Yr 3)
1420415
2435428
3441390
4438310
5450210
6462120
745568
846822
(a) Calculate the percentage decrease in malaria cases in Region B between Year 3 and Year 8. Show your working. [2]
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Mark scheme [2]
  • % decrease = (390 − 22) / 390 × 100 [1]
  • = 368 / 390 × 100 = 94.4% (accept 94% to 94.4%) [1]
(b) Describe and compare the trends in malaria cases in Region A and Region B over the 8 years. Quote data. [3]
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Mark scheme [3]
  • Region A: cases remained roughly constant / showed a slight increase throughout all 8 years (from 420 to 468 per 100,000) [1]
  • Region B: cases were similar to Region A in Years 1–2 (~415–428), but decreased sharply from Year 3 onwards after intervention, falling to just 22 by Year 8 [1]
  • The difference between the two regions grew substantially over time; by Year 8 Region A had 468 cases vs 22 in Region B — a 21× difference [1]
(c) Suggest two mosquito-control measures that Region B may have introduced and explain how each reduces malaria transmission. [4]
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Mark scheme — 2 measures × [measure + explanation]
  • Draining standing water / covering water containers — removes mosquito breeding sites; fewer mosquitoes → less transmission [1+1]
  • Insecticide-treated bed nets — physical barrier prevents mosquitoes reaching sleeping humans; insecticide kills mosquitoes that land on the net [1+1]
  • Spraying insecticides (e.g. DDT, malathion) indoors or in standing water — kills adult mosquitoes or larvae, reducing the mosquito population [1+1]
  • Biological control (e.g. introducing mosquito-eating fish or bacteria like Bt) — reduces mosquito larval population without chemicals [1+1]
(d) Malaria is caused by Plasmodium, a protozoan parasite — not a bacterium or virus. Explain why antibiotics would be ineffective as a treatment for malaria. [2]
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Mark scheme [2]
  • Antibiotics work by targeting specific structures or processes found in bacteria (e.g. cell wall synthesis, bacterial ribosomes) [1]
  • Plasmodium is a eukaryotic parasite — it does not have these bacterial targets, so antibiotics have no effect on it [1]
Note: some antibiotics (e.g. doxycycline) are actually used for malaria prevention, but they work by a different mechanism than their antibacterial action — this is beyond O-Level scope.
Scenario 3 · Genetics
Inheritance of ABO Blood Groups in a Family
ABO blood groups are controlled by three alleles: Iᴬ (produces antigen A), Iᴮ (produces antigen B), and i (produces no antigen). Iᴬ and Iᴮ are both dominant over i, but co-dominant with each other. A couple (father blood group A, mother blood group B) have four children with the blood groups shown below.
Family blood groups
IndividualBlood group
FatherA
MotherB
Child 1O
Child 2A
Child 3B
Child 4AB
(a) Child 1 has blood group O (genotype ii). Use this information to deduce the genotypes of the father and mother. Explain your reasoning. [3]
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Mark scheme [3]
  • Child 1 has genotype ii — must have received one i allele from each parent [1]
  • Father (blood group A) must be Iᴬi (heterozygous) — must carry i to pass it to Child 1; Iᴬ is expressed so he is blood group A [1]
  • Mother (blood group B) must be Iᴮi (heterozygous) — must carry i to pass it to Child 1; Iᴮ is expressed so she is blood group B [1]
(b) Construct a genetic diagram (Punnett square) for the cross Iᴬi × Iᴮi. State the genotype and blood group of Child 4 (AB) and explain how co-dominance produces the AB phenotype. [4]
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Mark scheme [4]
  • Punnett square: Iᴬi × Iᴮi → offspring: IᴬIᴮ (AB), Iᴬi (A), Iᴮi (B), ii (O) [1]
  • Expected ratio: 1 AB : 1 A : 1 B : 1 O [1]
  • Child 4 (AB): genotype IᴬIᴮ [1]
  • Co-dominance: both Iᴬ and Iᴮ alleles are fully expressed — both A and B antigens are produced on the red blood cell surface — so neither allele is masked; both phenotypes are expressed simultaneously [1]
(c) A person with blood group O can donate blood to any ABO blood group. Explain why a person with blood group A cannot receive blood group B. [3]
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Mark scheme [3]
  • A person with blood group A has anti-B antibodies in their plasma [1]
  • Blood group B red blood cells carry B antigens on their surface [1]
  • The anti-B antibodies bind to B antigens → agglutination (clumping) of red blood cells → can block capillaries and cause serious complications/death [1]
Scenario 4 · Enzymes — Unfamiliar Context
The Effect of Heavy Metal Ions on Enzyme Activity
A researcher investigated the effect of mercury ions (Hg²⁺) on the activity of catalase (which breaks down H₂O₂ → H₂O + O₂). Different concentrations of Hg²⁺ were added to tubes containing the same amount of catalase and H₂O₂. The volume of O₂ produced in 5 minutes was recorded.
Table 3 — Effect of Hg²⁺ on catalase activity
Hg²⁺ concentration / mmol dm⁻³ Volume of O₂ produced in 5 min / cm³ Rate relative to control / %
0 (control)24.0100
0.519.280
1.014.460
2.07.230
4.02.410
8.00.00
(a) Describe the relationship between Hg²⁺ concentration and the rate of catalase activity. Quote data. [2]
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Mark scheme [2]
  • As Hg²⁺ concentration increases, the rate of catalase activity decreases [1]
  • The rate drops from 100% at 0 mmol/dm³ to 0% at 8.0 mmol/dm³; the relationship is approximately inversely proportional [1]
(b) Suggest how Hg²⁺ ions inhibit catalase activity. You are not expected to have prior knowledge of heavy metals — apply your understanding of enzyme structure. [3]
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Mark scheme [3]
  • Hg²⁺ ions bind to the catalase enzyme (e.g. at the active site or at another site on the enzyme) [1]
  • This changes the shape of the active site [1]
  • H₂O₂ (the substrate) can no longer fit the active site properly → fewer enzyme-substrate complexes form → reduced rate of O₂ production [1]
This is an example of enzyme inhibition. At O-Level, you are expected to explain inhibition in terms of active site shape change — you do not need to know the specific mechanism of heavy metal binding.
(c) At 8.0 mmol/dm³ Hg²⁺, no O₂ is produced. Suggest one further experiment to determine whether this is because the enzyme is irreversibly denatured or reversibly inhibited. [2]
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Mark scheme [2]
  • Dialyse (or dilute and wash) the enzyme solution to remove the Hg²⁺ ions [1]
  • Then add fresh H₂O₂ and measure O₂ production — if activity is restored, the inhibition was reversible; if no O₂ is produced, the enzyme was irreversibly denatured [1]
Accept any logical experiment that involves removing the Hg²⁺ and testing if activity returns.
Scenario 5 · Ecology
Predator-Prey Population Dynamics — Lynx and Snowshoe Hare
Historical records from Canada showed cyclical changes in the populations of snowshoe hares (prey) and Canadian lynx (predator) over 90 years. The data below shows a simplified pattern of population changes over one cycle of approximately 10 years.
Table 4 — Population data (thousands)
YearHare population / thousandsLynx population / thousands
0205
2608
49020
64025
81510
10205
(a) Between Year 4 and Year 8, the hare population fell from 90,000 to 15,000. Calculate the percentage decrease. [2]
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Mark scheme [2]
  • % decrease = (90 − 15) / 90 × 100 [1]
  • = 75 / 90 × 100 = 83.3% (accept 83% to 83.3%) [1]
(b) The lynx population peaked at Year 6, two years after the hare population peaked at Year 4. Explain this time lag. [3]
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Mark scheme [3]
  • When hares are abundant (Year 4), lynx have more food and reproduce successfully → lynx population grows [1]
  • It takes time (a generation) for the increase in food supply to translate into increased lynx births and survival to breeding age [1]
  • So the lynx peak comes after the hare peak; by the time lynx numbers peak (Year 6), they have eaten so many hares that the hare population has already declined [1]
(c) Explain why the hare population begins to recover after Year 8, even though lynx are still present. [3]
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Mark scheme [3]
  • The lynx population has also fallen (from 25,000 to 10,000) due to reduced food supply (fewer hares) [1]
  • With fewer predators, predation pressure on hares decreases — fewer hares are eaten per unit time [1]
  • Hare birth rate now exceeds death rate → hare population increases; the cycle repeats [1]
(d) Suggest one abiotic factor (other than predation) that could also cause the hare population to decline from Year 4 onwards. Explain your suggestion. [2]
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Mark scheme [2]
  • Abiotic factor: severe winter / low temperature / deep snowfall / food plant shortage [1]
  • Explanation: e.g. severe winter reduces availability of the hares' food plants → food shortage → increased starvation and death rate → population decline [1]
Accept any sensible abiotic factor with a logical explanation. Abiotic = non-living environmental factor.

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