name: microbiology description: Study of microorganisms license: MIT compatibility: opencode metadata: audience: microbiologists, researchers, clinicians category: biology
What I do
- Study microorganisms (bacteria, viruses, fungi, protists)
- Investigate microbial physiology and genetics
- Research microbial pathogenesis
- Analyze microbial ecology
- Develop antimicrobial strategies
- Apply microbiology to biotechnology
When to use me
- When studying bacterial growth and metabolism
- When investigating microbial diseases
- When analyzing antimicrobial resistance
- When working with microbial cultures
- When studying microbial ecology
- When developing diagnostics or treatments
Key Concepts
Microbial Classification
Bacteria
- Gram-positive: Thick peptidoglycan layer
- Gram-negative: Outer membrane + thin peptidoglycan
- Shapes: Cocci, bacilli, spirilla
Viruses
- DNA viruses vs RNA viruses
- Enveloped vs non-enveloped
- Bacteriophages
Fungi
- Yeasts: Single-celled
- Molds: Multicellular filaments
Microbial Growth
# Example: Bacterial growth curve
def bacterial_growth(N0, mu, t):
"""
Calculate bacterial population.
N0: Initial cell count
mu: Specific growth rate (1/h)
t: Time (hours)
"""
return N0 * np.exp(mu * t)
# Growth phases
growth_phases = {
'lag': 'Adaptation, no division',
'exponential': 'Active division, max rate',
'stationary': 'Nutrient limitation, balanced',
'death': 'Nutrient depletion, cell lysis'
}
Microbial Metabolism
- Aerobic respiration: O₂ as electron acceptor
- Anaerobic respiration: Alternative acceptors
- Fermentation: Substrate-level phosphorylation
- Photosynthesis: Light energy capture
- Chemolithotrophy: Inorganic electron donors
Pathogenesis
- Adhesion and colonization
- Toxin production
- Immune evasion
- Tissue invasion
- biofilm formation