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Life Cycle of Micro-Organisms Simplified Revision Notes

Revision notes with simplified explanations to understand Life Cycle of Micro-Organisms quickly and effectively.

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Life Cycle of Micro-organisms

Life Cycle Diagram

Introduction

  • Micro-organisms can rapidly multiply under suitable conditions, leading to exponential growth.
  • Growth is characterised by four main phases: Lag, Log (Exponential), Stationary, and Death Phase.

Lag Phase

  • Little to no increase in microbe numbers, but metabolic activity is high.
  • Microbes adjust to growth media conditions, and enzymes are induced for substrate metabolism.

Log (Exponential) Phase

  • Microbes multiply at a constant rate, representing the most rapid growth.
  • Requires a constant supply of nutrients and appropriate environmental conditions (e.g., temperature, pH, O2 levels).

Stationary Phase

  • Growth medium depleted of nutrients; toxic metabolites accumulate, leading to increased pH.
  • Secondary metabolites are produced, which are not essential for survival but can provide ecological advantages.
  • Antibiotics are an example of secondary metabolites that can outcompete other micro-organisms.
  • Microbe production equals microbe death, resulting in no net growth.

Life Cycle of Micro-organisms

Microbial Growth Phases

Death Phase

  • Microbes die due to the lack of nutrients and the build-up of toxic metabolites.
  • Viable cell count includes living micro-organisms, while total cell count includes both viable and dead cells.
  • Only viable cell counts show a death phase where cell numbers decrease.

Growth Curve Analysis

  • Semi-logarithmic scales are used for growth curve analysis due to the wide range of data on the y-axis.

Growth Curve Analysis

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Summary

  • Microbial growth follows a pattern of lag, log, stationary, and death phases.
  • Lag phase involves metabolic preparation; log phase signifies rapid growth.
  • Stationary phase indicates nutrient depletion and secondary metabolite production.
  • Death phase results from nutrient exhaustion and toxic metabolite accumulation.
  • Growth curve analysis uses a semi-logarithmic scale to accommodate data range differences.
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