mSystems
(Oct 2021)
Predicting the Presence and Abundance of Bacterial Taxa in Environmental Communities through Flow Cytometric Fingerprinting
Jasmine Heyse,
Florian Schattenberg,
Peter Rubbens,
Susann Müller,
Willem Waegeman,
Nico Boon,
Ruben Props
Affiliations
Jasmine Heyse
ORCiD Center for Microbial Ecology and Technology (CMET), Department of Biochemical and Microbial Technology, Ghent University, Ghent, Belgium
Florian Schattenberg
Department of Environmental Microbiology, Helmholtz Centre for Environmental Research–UFZ, Leipzig, Germany
Peter Rubbens
ORCiD Flanders Marine Institute (VLIZ), InnovOcean site, Ostend, Belgium
Susann Müller
Department of Environmental Microbiology, Helmholtz Centre for Environmental Research–UFZ, Leipzig, Germany
Willem Waegeman
KERMIT, Department of Data Analysis and Mathematical Modelling, Ghent University, Ghent, Belgium
Nico Boon
ORCiD Center for Microbial Ecology and Technology (CMET), Department of Biochemical and Microbial Technology, Ghent University, Ghent, Belgium
Ruben Props
Center for Microbial Ecology and Technology (CMET), Department of Biochemical and Microbial Technology, Ghent University, Ghent, Belgium
DOI
https://doi.org/10.1128/mSystems.00551-21
Journal volume & issue
Vol. 6,
no. 5
Abstract
Read online
Monitoring of microbial community composition is crucial for both microbiome management research and applications. Existing technologies, such as plating and amplicon sequencing, can become laborious and expensive when high-throughput measurements are required.
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