Quantitative and Single-Cell Microbiology
Quantitative and Single-Cell Microbiology
Lecture by: Nela Nikolic, University of Southampton
Course: BIOL2038 BIOL2044
Date: 4 March 2025
Learning Objectives
Quantitative Techniques in Microbiology: Understand various methods used in assessing microbial populations.
Single-Cell Analysis Importance: Describe why studying individual microbial cells is critical.
Mechanisms of Individuality in Bacteria: Provide examples where individuality manifests among single cells.
Measuring Microbial Traits
Handprint Microbiota: Describes methods to measure the microbial community composition.
Standard Microbiology Techniques
Bulk Measurements: Evaluate bacterial growth and traits.
Optical Density (A600): Light absorbance at this wavelength measures bacterial density in cultures.
Culturing Methods: Utilized in tubes, flasks, and microplates.
Population Growth of Bacteria
Binary Fission: Primary method of bacterial reproduction where one cell divides into two.
Estimating Generations (n):
Formula: N2 = N1 * 2^n
Logarithmic Transformation: ln(N2) - ln(N1) for calculating the number of generations.
Growth Rate (μ):
Derived from cell increase during a specific time interval (t).
Formula: μ = (N2/N1) / (t2-t1) for exponential growth phase.
Data Distribution
Mean Value Implications: Discuss how averages can obscure diverse data distributions and important variations.
Phenotypic Heterogeneity
Definition: Variations in traits despite genetic similarity due to environmental or stochastic influences.
Examines the individuality in bacteria: genetically identical, yet phenotypically diverse.
Can be assessed through single-cell techniques.
Examples of Phenotypic Heterogeneity
Dormant Cells:
State of metabolic inactivity or growth arrest.
Persister Cells:
Tolerate antibiotics and can endure harsh conditions.
Mechanisms of dormancy and persistence identified (Balaban et al. 2019).
Single-Cell Microbiology Techniques
Light Microscopy: Techniques such as brightfield and phase contrast used for cell size and morphology.
Fluorescence Microscopy: Employs fluorescent dyes and probes for enhanced imaging.
Flow Cytometry:
Analyzing single cells rapidly (10,000-100,000 cells/min). Measures specific light scattering and fluorescence.
Enables fluorescence-activated cell sorting for categorizing cells based on traits.
NanoSIMS:
A precision technique using stable isotopes to study metabolic activities of individual cells. Analysis of carbon and nitrogen isotopes.
Measurements with Single-Cell Techniques
Allows assessment of variations in:
Gene expression
Cell morphology
Metabolic activity
Growth rates
Motility of cells
Metabolic Heterogeneity Example
Methylorubrum extorquens PA1: Growth observed under a single-carbon source environment using fluorescence microscopy.
Research in Virulence Heterogeneity
Salmonella Typhimurium: Evaluation of virulence through PfliC-gfp utilizing time-lapse microscopy.
Time-Lapse Microscopy in Microfluidics
Microfluidic Devices: Enable observation of bacterial behavior under controlled conditions such as:
Confined growth environments.
Continuous nutrient influx.
Droplet-Based Microfluidic Technology**
Enables analysis of bacterial populations in droplets, supporting various growth states:
Analysis can be performed on single cells and aggregates without nutrient flow.
Supports motility studies in 3D environments.
Examples of Current Research
Investigation into bacterial responses to RNA phage, with results found in a recent preprint by Nikolic et al. 2023.
Follow-Up Assignments
Required readings related to microbial ecology, stress response, and antiphage mechanisms for further understanding.
Suggested further reading: Ackermann M (2015) on phenotypic heterogeneity.