cytometric fingerprints: evaluation of new tools for analyzing microbial community dynamics

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ID: 214914
2014
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Ranked #547 of 875 articles by views in journal of magnetic resonance (san diego, calif : 1997)

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Abstract
Optical characteristics of individual bacterial cells of natural communities can be measured with flow cytometry (FCM) in high throughput. The resulting data are visualized in cytometric histograms. These histograms represent individual cytometric fingerprints of microbial communities, e.g. at certain time points or microenvironmental conditions. Up to now four tools for analyzing the variation in these cytometric fingerprints are available but have not yet been systematically compared regarding application: Dalmatian plot, Cytometric Histogram Image Comparison (CHIC), Cytometric Barcoding (CyBar), and FlowFP. In this article these tools were evaluated concerning i) the required experience of the operator in handling cytometric data sets, ii) the detection level of changes, iii) time demand for analysis, and iv) software requirements.As an illustrative example, FCM was used to characterize the microbial community structure of electroactive microbial biofilms. Their cytometric fingerprints were determined, analyzed with all four tools, and correlated to experimental and functional parameters. The source of inoculum (four different types of wastewater samples) showed the strongest influence on the microbial community structure and biofilm performance while the choice of substrate (acetate or lactate) had no significant effect in the present study.All four evaluation tools were found suitable to monitor structural changes of natural microbial communities. The Dalmatian Plot was shown to be most sensitive to operator impact but nevertheless provided an overview on community shifts. CHIC, CyBar, and FlowFP showed less operator dependence and gave highly resolved information on community structure variation on different detection levels. In conclusion, experimental and productivity parameters correlated with the biofilm structures and practical process integration details were available from cytometric fingerprint analysis.
Reference Key
ekoch2014frontierscytometric Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Christin eKoch;Falk eHarnisch;Falk eHarnisch;Uwe eSchröder;Susann eMüller
Journal journal of magnetic resonance (san diego, calif : 1997)
Year 2014
DOI
10.3389/fmicb.2014.00273
URL
http://journal.frontiersin.org/Journal/10.3389/fmicb.2014.00273/full
Keywords
microbial fuel cells microbial flow cytometry natural communities

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