Cytometric fingerprints: evaluation of new tools for analyzing microbial community dynamics
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 certa...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2014-06-01
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| Series: | Frontiers in Microbiology |
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| Online Access: | http://journal.frontiersin.org/Journal/10.3389/fmicb.2014.00273/full |
| _version_ | 1818550160919101440 |
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| author | Christin eKoch Falk eHarnisch Falk eHarnisch Uwe eSchröder Susann eMüller |
| author_facet | Christin eKoch Falk eHarnisch Falk eHarnisch Uwe eSchröder Susann eMüller |
| author_sort | Christin eKoch |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-12T08:42:45Z |
| format | Article |
| id | doaj.art-bfb638241fae45afa07ee0df70d90c91 |
| institution | Directory Open Access Journal |
| issn | 1664-302X |
| language | English |
| last_indexed | 2024-12-12T08:42:45Z |
| publishDate | 2014-06-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Microbiology |
| spelling | doaj.art-bfb638241fae45afa07ee0df70d90c912022-12-22T00:30:43ZengFrontiers Media S.A.Frontiers in Microbiology1664-302X2014-06-01510.3389/fmicb.2014.0027395986Cytometric fingerprints: evaluation of new tools for analyzing microbial community dynamicsChristin eKoch0Falk eHarnisch1Falk eHarnisch2Uwe eSchröder3Susann eMüller4UFZ - Helmholtz-Centre for Environmental ResearchUFZ - Helmholtz-Centre for Environmental ResearchTU BraunschweigTU BraunschweigUFZ - Helmholtz-Centre for Environmental ResearchOptical 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.http://journal.frontiersin.org/Journal/10.3389/fmicb.2014.00273/fullmicrobial fuel cellsmicrobial flow cytometrycytometric fingerprintingelectrochemical active microbial biofilmsnatural communitiescytometric data analysis |
| spellingShingle | Christin eKoch Falk eHarnisch Falk eHarnisch Uwe eSchröder Susann eMüller Cytometric fingerprints: evaluation of new tools for analyzing microbial community dynamics Frontiers in Microbiology microbial fuel cells microbial flow cytometry cytometric fingerprinting electrochemical active microbial biofilms natural communities cytometric data analysis |
| title | Cytometric fingerprints: evaluation of new tools for analyzing microbial community dynamics |
| title_full | Cytometric fingerprints: evaluation of new tools for analyzing microbial community dynamics |
| title_fullStr | Cytometric fingerprints: evaluation of new tools for analyzing microbial community dynamics |
| title_full_unstemmed | Cytometric fingerprints: evaluation of new tools for analyzing microbial community dynamics |
| title_short | Cytometric fingerprints: evaluation of new tools for analyzing microbial community dynamics |
| title_sort | cytometric fingerprints evaluation of new tools for analyzing microbial community dynamics |
| topic | microbial fuel cells microbial flow cytometry cytometric fingerprinting electrochemical active microbial biofilms natural communities cytometric data analysis |
| url | http://journal.frontiersin.org/Journal/10.3389/fmicb.2014.00273/full |
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