Publication Details

Category Text Publication
Reference Category Journals
DOI 10.1016/j.ymeth.2017.08.009
Document accepted manuscript
Title (Primary) A cytometric approach to follow variation and dynamics of the salivary microbiota
Author van Gelder, S.; Röhrig, N.; Schattenberg, F.; Cichocki, N.; Schumann, J.; Schmalz, G.; Haak, R.; Ziebolz, D.; Müller, S.
Source Titel Methods
Year 2018
Department UMB
Volume 134–135
Page From 67
Page To 79
Language englisch
Keywords Saliva; Mouth microbiome; Microbial flow cytometry; Cell counting; Microbial diversity
UFZ wide themes RU3;
Abstract Microbial flow cytometry is an established fast and economic technique for complex ecosystem studies and enables visualization of rapidly changing community structures by measuring characteristics of single microbial cells. Cytometric evaluation routines are available such as flowCyBar which are useful for automatic data processing. Here, a cytometric workflow was established which allows to routinely analyze salivary microbiomes on the example of ten oral healthy subjects. First, saliva was collected within a 3-month period, cytometrically analyzed and the evolution of the microbiomes followed as well as the calculation of their intra- and inter-subject similarity. Second, the respective microbiomes were stressed by exposition to high sugar or acid concentrations and immediate changes were recorded. Third, bactericide solutions were tested on their impact on the microbiomes. In all three set ups huge intra-individual variations in cytometric community structures were found to be largely absent, even under stress, while inter-individual diversity was obvious. The bacterial cell counts of saliva samples were found to vary between 3.0 × 107 and 6.2 × 108 cells per sample and subject in undisturbed environments. The application of the two bactericides did not cause noteworthy diversity changes but the loss in cell numbers by about 50% was high after treatment. Illumina® sequencing of whole microbiomes or sorted sub-microbiomes revealed typical phyla such as Firmicutes, Proteobacteria, Actinobacteria, Bacteroidetes and Fusobacteria. This approach is useful for fast monitoring of individual salivary microbiomes and automatic calculation of intra- and inter-individual dynamic changes and variability and opens insight into ecological principles leading to their sustainment in their individual environment.
Persistent UFZ Identifier
van Gelder, S., Röhrig, N., Schattenberg, F., Cichocki, N., Schumann, J., Schmalz, G., Haak, R., Ziebolz, D., Müller, S. (2018):
A cytometric approach to follow variation and dynamics of the salivary microbiota
Methods 134–135 , 67 - 79 10.1016/j.ymeth.2017.08.009