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CHIC - An automated approach for the detection of dynamic variations in complex microbial communities
Stockholm University, Faculty of Science, Stockholm Resilience Centre. UFZ Helmholtz Center for Environmental Research, Germany.
2013 (English)In: Cytometry Part A, ISSN 1552-4922, E-ISSN 1552-4930, Vol. 83A, no 6, 561-567 p.Article in journal (Refereed) Published
Abstract [en]

Altering environmental conditions change structures of microbial communities. These effects have an impact on the single-cell level and can be sensitively detected using community flow cytometry. However, although highly accurate, microbial monitoring campaigns are still rarely performed applying this technique. One reason is the limited access to pattern analysis approaches for the evaluation of microbial cytometric data. In this article, a new analyzing tool, Cytometric Histogram Image Comparison (CHIC), is presented, which realizes trend interpretation of variations in microbial community structures (i) without any previous definition of gates, by working (ii) person independent, and (iii) with low computational demand. Various factors influencing a sensitive determination of changes in community structures were tested. The sensitivity of this technique was found to discriminate down to 0.5% internal variation. The final protocol was exemplarily applied to a complex microbial community dataset, and correlations to experimental variation were successfully shown.

Place, publisher, year, edition, pages
2013. Vol. 83A, no 6, 561-567 p.
Keyword [en]
automated pattern analysis, person-independent data evaluation, bacterial communities, microbial community dynamics, DNA pattern analysis, bioprocesses
National Category
Biochemistry and Molecular Biology Cell Biology
URN: urn:nbn:se:su:diva-91515DOI: 10.1002/cyto.a.22286ISI: 000319348900008OAI: diva2:635236


Available from: 2013-07-03 Created: 2013-06-28 Last updated: 2014-10-15Bibliographically approved

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