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Updated: Jun 14, 2026

Characterizing Microbiome Dynamics – Flow Cytometry Based Workflows from Pure Cultures to Natural Communities
Published on: July 12, 2018
Functional single-cell analyses: flow cytometry and cell sorting of microbial populations and communities
Susann Müller1, Gerhard Nebe-von-Caron
1Department of Environmental Microbiology, UFZ - Helmholtz Centre for Environmental Research GmbH, Leipzig, Germany. susann.mueller@ufz.de
Flow cytometry unlocks microbial insights, revealing bacterial functions and diversity at the single-cell level without cultivation. This technology enhances understanding of microbial communities and their complex actions.
Area of Science:
- Microbiology
- Molecular Biology
- Biotechnology
Background:
- Bacterial phylogenetic affiliations, metabolic capabilities, and functions remain poorly understood.
- Traditional cultivation methods limit the study of microbial diversity and function.
- Understanding microbial consortia requires insights into single-cell physiology.
Purpose of the Study:
- To review the state-of-the-art application of flow cytometry in microbiology.
- To highlight how flow cytometry aids in studying microbial functioning at the single-cell level.
- To discuss advancements in analyzing microbial populations and communities.
Main Methods:
- Application of advanced flow cytometric and cell sorting technologies.
- Single-cell analysis without relying on cultivation.
- Utilizing specific staining, phylogenetic, transcriptomic, and proteomic approaches.
Main Results:
- Flow cytometry enables the study of microbial physiology and diversity at the single-cell level.
- It overcomes limitations of traditional cultivation methods for exploring microbial functions.
- The technology provides insights into the heterogeneity of microbial populations.
Conclusions:
- Flow cytometry is a key technology for uncovering microbial functioning and diversity.
- It facilitates a deeper understanding of microbial communities and their concerted actions.
- Combining flow cytometry with other omics approaches offers advanced insights into microbial heterogeneity.
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