Level 5 — MasteryMicrobiology

Microbiology

75 minutes60 marksprintable — key stays hidden on paper

Difficulty: Level 5 — Mastery (cross-domain: biology + mathematics + computation) Time limit: 75 minutes Total marks: 60

Instructions: Answer all three questions. Show full working for all quantitative parts. Calculators permitted. Where code is requested, pseudocode or Python is acceptable; correctness of logic is marked, not syntax.


Question 1 — Bacterial Growth Kinetics & Culturing (22 marks)

A microbiologist inoculates a sterile broth with E. coli using aseptic technique and monitors the culture. During balanced exponential growth the population follows

N(t)=N02t/gN(t) = N_0 \, 2^{t/g}

where gg is the mean generation (doubling) time and tt is elapsed time in minutes.

At t=0t = 0 the viable count is N0=5.0×103 CFU mL1N_0 = 5.0 \times 10^{3}\ \text{CFU mL}^{-1}. At t=80 mint = 80\ \text{min} the count is 8.0×104 CFU mL18.0 \times 10^{4}\ \text{CFU mL}^{-1}.

(a) Derive an expression for gg in terms of NN, N0N_0, and tt, then compute gg for this culture. (4)

(b) The specific growth rate μ\mu is defined by dNdt=μN\dfrac{dN}{dt} = \mu N. Prove that μ=ln2g\mu = \dfrac{\ln 2}{g} and evaluate μ\mu (units min1^{-1}). (4)

(c) Sketch and fully label a bacterial growth curve (logN\log N vs tt) marking the four phases. State, with a physiological reason, which phase the equation N(t)=N02t/gN(t)=N_0 2^{t/g} describes and why it eventually fails. (5)

(d) The broth carrying capacity is K=2.0×109 CFU mL1K = 2.0 \times 10^{9}\ \text{CFU mL}^{-1}. A more realistic model is the logistic equation dNdt=μN(1NK)\dfrac{dN}{dt} = \mu N\left(1 - \dfrac{N}{K}\right). Using μ\mu from part (b), estimate (to 2 significant figures) the population size at which the absolute growth rate dN/dtdN/dt is maximal, and state that maximum rate. (5)

(e) State two specific aseptic-technique precautions used during inoculation and explain, in microbiological terms, what contamination event each prevents. (4)


Question 2 — Gram Staining, Cell Walls & Antibiotic Resistance (20 marks)

(a) Construct a labelled comparison of Gram-positive vs Gram-negative cell wall architecture. For each of the four Gram-stain steps (crystal violet, iodine mordant, alcohol decolouriser, safranin) explain the molecular reason the two cell types respond differently, and state the final colour of each. (8)

(b) β\beta-lactam antibiotics (e.g. penicillin) inhibit transpeptidase (penicillin-binding proteins). Explain mechanistically why β\beta-lactams (i) are bactericidal for actively dividing cells but not dormant ones, and (ii) are often less effective against Gram-negative species. (4)

(c) A population of 1.0×1091.0 \times 10^{9} bacteria is exposed to an antibiotic. Spontaneous resistance mutations arise at rate μm=1.0×109\mu_m = 1.0 \times 10^{-9} per cell per division. Assuming each cell divides once before exposure, estimate the expected number of pre-existing resistant mutants. Then explain, using the concept of selection, why this small number causes clinical treatment failure. (4)

(d) Antibiotic resistance genes frequently reside on plasmids. Compare conjugation, transformation, and transduction as routes by which a resistance gene could spread through a mixed bacterial community. For each, state one condition required and one consequence for resistance epidemiology. (4)


Question 3 — Viruses, Retroviruses & Computational Modelling (18 marks)

(a) Compare the lytic and lysogenic cycles of a bacteriophage. Identify the molecular "decision point" and one environmental trigger that shifts a prophage from lysogeny to the lytic pathway. (5)

(b) HIV is a retrovirus. Write the central information flow for a retrovirus (as an arrow diagram of nucleic-acid/protein stages), naming the key enzyme at each non-standard step, and explain why reverse transcription makes retroviral infections difficult to eradicate. (5)

(c) A single infected cell releases virions in a lytic burst. The viral titre after nn successive infection cycles is modelled by

Vn=V0bnV_n = V_0\, b^{\,n}

where bb is the burst size (virions per infected cell) and each cycle infects a fresh cell population. Given V0=10V_0 = 10 and burst size b=200b = 200:

(i) Compute V3V_3. (2) (ii) Write a short function (pseudocode/Python) cycles_to_reach(V0, b, target) that returns the smallest integer number of cycles nn such that VntargetV_n \ge \text{target}, and use it (by hand) to find nn for a target of 10910^{9}. (4)

(d) Prions and viroids are both "sub-viral" agents yet differ fundamentally in composition. Contrast them: state the molecular nature of each, their mode of propagation, and one disease/host example each. (2)


End of paper

Answer keyMark scheme & solutions

Question 1

(a) (4 marks) From N=N02t/gN = N_0 2^{t/g}: NN0=2t/g\dfrac{N}{N_0} = 2^{t/g}. Take log2\log_2: tg=log2 ⁣NN0\dfrac{t}{g} = \log_2\!\dfrac{N}{N_0}, so

g=tlog2(N/N0)=tln2ln(N/N0).g = \frac{t}{\log_2(N/N_0)} = \frac{t\ln 2}{\ln(N/N_0)}. (2 for derivation)

N/N0=8.0×104/5.0×103=16=24N/N_0 = 8.0\times10^4 / 5.0\times10^3 = 16 = 2^4, so log216=4\log_2 16 = 4. g=80/4=20 ming = 80/4 = \mathbf{20\ \text{min}}. (2 for value)

(b) (4 marks) dNdt=μNN=N0eμt\dfrac{dN}{dt}=\mu N \Rightarrow N = N_0 e^{\mu t} (solution of the linear ODE). (1) Also N=N02t/g=N0e(t/g)ln2N = N_0 2^{t/g} = N_0 e^{(t/g)\ln 2}. (1) Equating exponents: μt=tln2gμ=ln2g\mu t = \dfrac{t\ln2}{g} \Rightarrow \mu = \dfrac{\ln 2}{g}. (1) μ=ln2/20=0.6931/20=0.0347 min1\mu = \ln 2 / 20 = 0.6931/20 = \mathbf{0.0347\ \text{min}^{-1}}. (1)

(c) (5 marks) Curve of logN\log N vs tt showing: Lag (flat), Log/exponential (steep straight line on log axis), Stationary (plateau), Death/decline (downward). (1 each phase, up to 4) The equation describes the exponential (log) phase — cells divide at constant maximal rate with unlimited nutrients. It fails because nutrient depletion, waste/toxin accumulation and space limitation slow division, so growth becomes density-dependent (stationary phase). (1)

(d) (5 marks) For the logistic model dNdt=μN(1N/K)\dfrac{dN}{dt}=\mu N(1-N/K), treat RHS as function of NN: f(N)=μNμN2/Kf(N)=\mu N - \mu N^2/K. ddNf=μ2μN/K=0N=K/2\dfrac{d}{dN}f = \mu - 2\mu N/K = 0 \Rightarrow N = K/2. (2) Nmax rate=K/2=1.0×109 CFU mL1N_{max\ rate} = K/2 = 1.0\times10^{9}\ \text{CFU mL}^{-1}. (1) Maximum absolute rate: dNdtN=K/2=μK212=μK4\dfrac{dN}{dt}\Big|_{N=K/2} = \mu \cdot \dfrac{K}{2}\cdot\dfrac12 = \dfrac{\mu K}{4} =0.03466×2.0×109/4=1.7×107 CFU mL1min1= 0.03466 \times 2.0\times10^{9}/4 = 1.7\times10^{7}\ \text{CFU mL}^{-1}\,\text{min}^{-1}. (2)

(e) (4 marks) Any two, each 2 marks (precaution + prevented event):

  • Flaming the inoculating loop / neck of the culture tube → kills contaminating microbes on the metal/glass, preventing introduction of airborne or surface contaminants.
  • Working near a Bunsen flame (updraught) or in a laminar-flow hood → convection current/filtered air carries airborne spores/bacteria away from the culture, preventing airborne contamination.
  • Keeping plates lidded / inverting → prevents settling dust and condensation-borne contaminants.

Question 2

(a) (8 marks) Architecture (2): Gram-positive = thick multilayer peptidoglycan (with teichoic acids), no outer membrane. Gram-negative = thin peptidoglycan layer plus an outer lipopolysaccharide (LPS) membrane and periplasmic space. Steps (½ colour + ½ reason each ≈ 6 marks):

  1. Crystal violet — stains all cells purple (enters both).
  2. Iodine mordant — forms large crystal-violet–iodine (CV-I) complex trapped inside cells.
  3. Alcohol decolouriser — dehydrates and shrinks the thick peptidoglycan of Gram-positives, closing pores and retaining CV-I (stay purple); in Gram-negatives alcohol dissolves the outer lipid membrane and the thin peptidoglycan cannot retain CV-I, so they lose colour. (key discriminating step)
  4. Safranin counterstain — decolourised Gram-negatives take up safranin → pink/red; Gram-positives remain purple.

(b) (4 marks) (i) β\beta-lactams inhibit transpeptidase, blocking cross-linking of new peptidoglycan. Only dividing cells actively synthesise wall material; without cross-links the growing wall weakens and the cell lyses under turgor. Dormant cells make no new wall, so nothing is disrupted → bacteriostatic tolerance, not death. (2) (ii) The Gram-negative outer LPS membrane is a permeability barrier; the drug must cross via porins, and periplasmic β\beta-lactamases can degrade it, so less drug reaches the PBP targets → reduced efficacy. (2)

(c) (4 marks) Expected mutants =N×μm=1.0×109×1.0×109=1= N \times \mu_m = 1.0\times10^{9} \times 1.0\times10^{-9} = \mathbf{1} resistant cell (order 1). (2) Selection argument: the antibiotic kills the ~10910^9 susceptible cells but the pre-existing resistant mutant survives and, freed from competition, proliferates to regenerate the population — a resistant clone. Thus resistance is selected, not created, by the drug → relapse/treatment failure. (2)

(d) (4 marks) (condition + consequence, ~1⅓ each)

  • Conjugation: direct cell–cell contact via pilus; requires a conjugative plasmid (F/R factor) and cell contact → efficiently spreads plasmid-borne resistance, even between species; main driver of clinical multi-drug resistance.
  • Transformation: uptake of naked DNA from environment; requires competence and free DNA released by lysed cells → spreads resistance where cells die and release DNA (e.g. biofilms).
  • Transduction: transfer of DNA packaged in a bacteriophage; requires a phage infecting both donor and recipient (host range) → spreads resistance within phage-susceptible strains; limited by host range.

Question 3

(a) (5 marks) Lytic: phage injects DNA → immediate replication → assembly → lysis releasing progeny. (1) Lysogenic: phage DNA integrates as a prophage into host genome, replicates passively with the host, no immediate lysis. (1) Decision point: the regulatory switch controlling the phage repressor (e.g. cI/lambda repressor vs Cro) determines commitment. (2) Trigger: DNA damage / stress (e.g. UV irradiation) inactivates the repressor (SOS response), inducing excision and entry into the lytic cycle. (1)

(b) (5 marks) Flow: ssRNA genomereverse transcriptasecDNA / dsDNAintegraseprovirus (host genome)host RNA polviral mRNA/genomic RNAtranslationproteins.\text{ssRNA genome} \xrightarrow{\text{reverse transcriptase}} \text{cDNA / dsDNA} \xrightarrow{\text{integrase}} \text{provirus (host genome)} \xrightarrow{\text{host RNA pol}} \text{viral mRNA/genomic RNA} \xrightarrow{\text{translation}} \text{proteins}. (3, enzymes named) Eradication difficulty: reverse transcription + integrase permanently insert a provirus into the host cell genome (a latent reservoir), which is copied with host DNA and invisible to drugs/immune system when silent; error-prone reverse transcriptase also drives rapid mutation and drug/immune escape. (2)

(c)(i) (2 marks) V3=10×2003=10×8.0×106=8.0×107V_3 = 10 \times 200^3 = 10 \times 8.0\times10^6 = \mathbf{8.0\times10^{7}}.

(c)(ii) (4 marks) Function (2):

import math
def cycles_to_reach(V0, b, target):
    n = 0
    V = V0
    while V < target:
        V *= b
        n += 1
    return n
# closed form check: n = ceil( log(target/V0) / log(b) )

By hand (2): need 10×200n109200n10810\times200^n \ge 10^9 \Rightarrow 200^n \ge 10^8. log10(200)=2.301\log_{10}(200)=2.301; n8/2.301=3.477n \ge 8/2.301 = 3.477 → smallest integer n=4n=\mathbf{4}. Check: V4=10×2004=10×1.6×109=1.6×1010109V_4 = 10\times200^4 = 10\times1.6\times10^9 = 1.6\times10^{10} \ge 10^9. ✓ (V3=8×107<109V_3=8\times10^7<10^9.)

(d) (2 marks)

  • Prion: misfolded protein (no nucleic acid); propagates by templating conversion of normal PrPC^{C} to PrPSc^{Sc}; e.g. CJD / BSE in mammals.
  • Viroid: small circular naked ssRNA (no protein coat); replicates via host RNA polymerase (rolling circle); e.g. potato spindle tuber viroid in plants.
[
  {"claim":"Generation time g = 20 min from N/N0=16 over 80 min","code":"import sympy as sp\nt=80\nratio=8.0e4/5.0e3\ng=t/ (sp.log(ratio,2))\nresult = abs(float(g)-20)<1e-9"},
  {"claim":"Specific growth rate mu = ln2/20 approx 0.03466 /min","code":"mu=sp.log(2)/20\nresult = abs(float(mu)-0.034657)<1e-4"},
  {"claim":"Max-rate population is K/2 = 1.0e9 and max dN/dt = mu*K/4","code":"K=2.0e9\nmu=float(sp.log(2)/20)\nNstar=K/2\nrate=mu*K/4\nresult = abs(Nstar-1.0e9)<1 and abs(rate-1.733e7)<1e5"},
  {"claim":"Expected pre-existing resistant mutants = N*mu_m = 1","code":"N=1.0e9\nmm=1.0e-9\nresult = abs(N*mm-1.0)<1e-9"},
  {"claim":"V3 = 8.0e7 and cycles to reach 1e9 is 4","code":"V0=10;b=200\nV3=V0*b**3\nimport math\nn=math.ceil(math.log(1e9/V0)/math.log(b))\nresult = V3==80000000 and n==4"}
]