Monitoring functions in managed microbial systems by cytometric bar coding

Article

Koch, Christin, Fetzer, Ingo, Schmidt, Thomas, Harms, Hauke and Muller, Susann. 2013. "Monitoring functions in managed microbial systems by cytometric bar coding." Environmental Science and Technology. 47 (3), pp. 1753-1760. https://doi.org/10.1021/es3041048
Article Title

Monitoring functions in managed microbial systems by cytometric bar coding

ERA Journal ID4674
Article CategoryArticle
AuthorsKoch, Christin (Author), Fetzer, Ingo (Author), Schmidt, Thomas (Author), Harms, Hauke (Author) and Muller, Susann (Author)
Journal TitleEnvironmental Science and Technology
Journal Citation47 (3), pp. 1753-1760
Number of Pages8
Year2013
PublisherAmerican Chemical Society
Place of PublicationUnited States
ISSN0013-936X
1520-5851
Digital Object Identifier (DOI)https://doi.org/10.1021/es3041048
Web Address (URL)http://pubs.acs.org/doi/abs/10.1021/es3041048
Abstract

Cytometric monitoring of microbial community dynamics can be used to estimate stability of technical microbial processes like biogas production by analysis of segregated cell abundance changes. In this study, structure variations of a biogas community were cytometrically recorded over 9 months and found to be of diagnostic value for process details. The reactor regime was intentionally disturbed with regard to substrate overload or H2S accumulation. A single-cell based approach called cytometric bar coding (CyBar) for fast identification of reactive subcommunities was used. Functionality of specific subcommunities was uncovered by processing CyBar data with abiotic reactor parameters using Spearman's correlation coefficient. Twenty subcommunities showed a discrete and divergent behavior. For example, a 4-fold substrate overload increased the cell number of two acidogenic index subcommunities to 176 and 193% within three days. Supplementary analyses were done using DNA fingerprinting, cloning, and sequencing. Bioreactor perturbations were shown to create cell abundance changes in subcommunities rather than variations in their phylogenetic composition. The used workflow and macros are ready-to-use tools and allow on-site monitoring and interpretation of variation in microbial community functions within a few hours.

KeywordsAcidogenic; Bar coding; Biogas production; Cell abundance; Cell number; Correlation coefficient; Diagnostic value; DNA fingerprinting; Microbial communities; Microbial process; Microbial system; Monitoring functions; On-site monitoring; Reactor parameters; Structure variation; Bioengineering; Gas Fuels; Data Processing; Microbiology: Bacteriology, Mycology, Parasitology and Virology; Gram-positive rods and cocci
ANZSRC Field of Research 2020310799. Microbiology not elsewhere classified
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Byline AffiliationsHelmholtz Centre for Environmental Research, Germany
DBFZ German Biomass Research Centre, Germany
Institution of OriginUniversity of Southern Queensland
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