48. Growth of a microbe in a test tube is modeled as dX/dt = rX (1 − X/K), where X is the biomass, r is the growth rate and K is the carrying capacity of the environment (r ≠ 0; K ≠ 0). If the value of starting biomass is K/100, which one of the following graphs qualitatively represents the growth dynamics?

48. Growth of a microbe in a test tube is modeled as
dX/dt = rX (1 − X/K), where X is the biomass, r is the growth rate and K is the carrying capacity of the environment (r ≠ 0; K ≠ 0).
If the value of starting biomass is K/100, which one of the following graphs qualitatively represents the growth dynamics?

 

Microbial growth in a closed test tube does not increase indefinitely. As nutrients deplete and waste accumulates, cell growth slows and eventually stops. This behavior is accurately modeled by the logistic growth equation:

dX/dt = rX(1 − X/K)

Where:

  • X = biomass
  • r = intrinsic growth rate
  • K = carrying capacity (maximum sustainable biomass)

Given an initial biomass of K/100, the growth follows the classic S-shaped sigmoid curve.

Understanding Logistic Growth

Growth phases:

  • Lag/low population phase – growth slow when X ≪ K
  • Exponential phase – nearly exponential rise when X approaches mid-range
  • Deceleration – growth slows due to nutrient limitation
  • Steady state – biomass approaches K asymptotically and levels off

This yields an S-shaped curve approaching a plateau at K.

Option Analysis

✔ (A) Correct Graph

  • Starts low (since X₀ = K/100)
  • Initially slow, then rapid exponential increase
  • Finally levels off smoothly near carrying capacity K

This is the signature sigmoid logistic growth curve.
👉 Correct Answer

❌ (B) Incorrect

  • Initial growth is too steep
  • No true lag phase
  • Not realistic for tiny starting biomass

❌ (C) Incorrect

  • Linear rise followed by sudden saturation
  • No curvature or true exponential stage

❌ (D) Incorrect

  • Oscillatory growth indicates destabilized systems (predator–prey or chemostat)
  • Logistic growth is monotonic and smooth

Final Answer

🎯 (A) represents true logistic microbial growth.

Conclusion

The logistic model captures realistic microbial population limits in batch culture. From a very small initial biomass of K/100, the growth begins slowly, accelerates, then stabilizes at K.

Understanding logistic dynamics forms the basis of:

  • bioprocess scaling
  • fermentation engineering
  • ecological population modeling

 

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