Home Cell Biology Characterizing Microbiome Dynamics – Flow Cytometry Based Workflows from Pure Cultures to Natural Communities
Cell Biology JoVE (Open Access) Citable · DOI

Characterizing Microbiome Dynamics – Flow Cytometry Based Workflows from Pure Cultures to Natural Communities

DOI: 10.3791/58033-v
What you'll learn
  • Apply flow cytometry workflows to analyze pure and complex microbial cultures
  • Prepare and stain microbial samples from biogas and activated sludge communities
  • Perform bead calibration and interpret cytometric barcode data for community dynamics
Protocol

Flow cytometric analysis has proven valuable for investigating pure cultures and monitoring microbial community dynamics. We present three comprehensive workflows, from sampling to data analysis, for pure cultures and complex communities in clear medium as well as in challenging matrices, respectively.

Difficulty
intermediate
Total time
~4–6 hours per sample set (including staining, calibration, and analysis)
Biosafety
BSL-1

Steps

1
Dry biogas and stabilize activated sludge communities

Prepare biogas community samples through drying procedures and stabilize activated sludge community (ASC) cells using appropriate preservation methods prior to analysis.

▶ 00:50
2
Stain activated sludge community samples

Apply fluorescent staining protocols to ASC samples to enable flow cytometric detection and discrimination of microbial populations.

▶ 02:29
3
Calibrate beads and analyze ASC samples

Perform bead calibration for flow cytometry and conduct sample analysis on stained ASC to establish baseline cytometric parameters.

▶ 03:46
4
Generate cytometric barcode profiles

Create cytometric barcodes from flow cytometry data to characterize and track microbial community composition and dynamics.

▶ 05:29
5
Interpret microbial evolution and community changes

Analyze representative cytometric datasets to assess temporal microbial community dynamics and evolutionary patterns.

▶ 07:21
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