Culture Media and Growth MCQ — NEET PG Practice Question | NEETPGAI
Culture Media and Growth
easy
bug Microbiology
Which growth phase is characterized by the maximum rate of cell division and is represented by a straight line on a semi-logarithmic plot of bacterial growth?
A. Lag phase
B. Stationary phase
C. Log (exponential) phase
D. Death (decline) phase
Explanation
Bacterial Growth Phases
Key Point
The log (exponential) phase is the period of maximum bacterial growth rate where cells divide at a constant rate, producing a straight line when plotted on a semi-logarithmic (semi-log) graph.
Characteristics of Log Phase
1.
Maximum growth rate — cells divide at their fastest rate under the given conditions
2.
Constant generation time — the time required for the population to double remains constant
3.
Linear appearance on semi-log plot — when log₁₀(cell number) is plotted against time, a straight line is produced
4.
Metabolic activity — cells are most metabolically active and sensitive to antimicrobial agents
5.
Balanced growth — all cellular components increase proportionally
Mnemonic
LOG = Linear On Graph (semi-logarithmic graph)
Growth Curve Phases Comparison
Table
Phase
Duration
Cell Division
Semi-Log Appearance
Key Features
Lag
Variable
Minimal
Lag (curved)
Adaptation, enzyme synthesis
Log
Hours to days
Maximum
Straight line
Exponential growth, highest metabolic rate
Stationary
Variable
Zero
Plateau
Growth = death rate, nutrient limitation
Death
Variable
Negative
Decline
Cell lysis, death rate exceeds growth
High-YieldNEET PG
Understanding the log phase is critical for:
Predicting antibiotic efficacy (highest during log phase)
Optimizing culture conditions in laboratories
Understanding pathogen virulence (most virulent during log phase)
Clinical Pearl
Antibiotics are most effective against rapidly dividing bacteria in log phase, which is why timing of antibiotic administration relative to bacterial growth phase can affect treatment outcomes.
Why the Semi-Log Plot Shows a Straight Line
During log phase, the population increases exponentially: Nt=N0×2n, where n is the number of generations. When converted to logarithmic scale: logNt=logN0+n×log2, which is a linear equation.
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