Monitoring functions in managed microbial systems by cytometric bar coding
Article
Article Title | Monitoring functions in managed microbial systems by cytometric bar coding |
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ERA Journal ID | 4674 |
Article Category | Article |
Authors | Koch, Christin (Author), Fetzer, Ingo (Author), Schmidt, Thomas (Author), Harms, Hauke (Author) and Muller, Susann (Author) |
Journal Title | Environmental Science and Technology |
Journal Citation | 47 (3), pp. 1753-1760 |
Number of Pages | 8 |
Year | 2013 |
Publisher | American Chemical Society |
Place of Publication | United States |
ISSN | 0013-936X |
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. |
Keywords | Acidogenic; 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 2020 | 310799. Microbiology not elsewhere classified |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | Helmholtz Centre for Environmental Research, Germany |
DBFZ German Biomass Research Centre, Germany | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q4405/monitoring-functions-in-managed-microbial-systems-by-cytometric-bar-coding
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