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

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

DOI:
10.3791/58033-v

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09:57 min

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July 12, 2018

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, , ,
1Department of Environmental Microbiology,Helmholtz Centre for Environmental Research – UFZ

Chapters

  • 00:04Title
  • 00:50Biogas Community Drying and Activated Sludge Community (ASC) Cell Stabilization
  • 02:29ASC Staining
  • 03:46Bead Calibration and ASC Sample Analysis
  • 05:29Cytometric Barcode
  • 07:21Results: Representative Microbial Evolution Analyses
  • 09:08Conclusion

Summary

Automatic Translation

Automatic Translation

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.

Tags

Keywords: Microbiome DynamicsFlow CytometryMicrobial EcologyBiotechnologyNatural CommunitiesBiogas CommunityActivated SludgeCell FixationCell StabilizationPBSFormaldehydeEthanolSonicationOD 700Permeabilization Buffer

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