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Updated: Aug 8, 2026

Characterizing Microbiome Dynamics – Flow Cytometry Based Workflows from Pure Cultures to Natural Communities
Published on: July 12, 2018
Fluorescence in situ hybridization-flow cytometry-cell sorting-based method for separation and enrichment of type I
Marina G Kalyuzhnaya1, Rebecca Zabinsky, Sarah Bowerman
1Department of Chemical Engineering, University of Washington, Seattle, WA 98195, USA.
Abstract:
A fluorescence in situ hybridization-flow cytometry (FISH/FC)-based method was optimized using artificial mixtures of pure cultures of methanotrophic bacteria. Traditional oligonucleotide probes targeting 16S rRNAs of type I (MG84/705 probe) and type II (MA450 probe) methanotrophs were labeled with fluorescein or Alexa fluor and used for FISH, followed by fluorescence-activated FC analysis and cell sorting (FACS). The method resulted in efficient separation of target cells (type I or type II methanotrophs) from the artificial mixtures. The method was then applied for detection and enrichment of type I and type II methanotroph populations from a natural sample, Lake Washington sediment. Cells were extracted from the sediment, fixed, and subjected to FISH/FC/FACS. The resulting subpopulations were analyzed by reverse transcriptase PCR surveys of 16S rRNA, pmoA (encoding a subunit of particulate methane monooxygenase), and fae (encoding formaldehyde-activating enzyme) genes. The functional gene analysis indicated specific separation of the type I and type II methanotroph populations. 16S rRNA gene analysis revealed that type I methanotrophs comprised 59% of the subpopulation separated using the type I-specific probe and that type II methanotrophs comprised 47.5% of the subpopulation separated using the type II-specific probe. Our data indicate that the FISH/FC/FACS protocol described can provide significant enrichment of microbial populations of interest from complex natural communities and that these can be used for genetic tests. We further tested the possibility of direct whole-genome amplification (WGA) from limited numbers of sorted cells, using artificial mixtures of microbes whose genome sequences are known. We demonstrated that efficient WGA can be achieved using 10(4) or more cells separated by 16S rRNA-specific FISH/FC/FACS, while fewer cells resulted in less specific WGA.
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