The activity of the human armpit microbiota triggers the formation of body odor. We used differential 16S rRNA gene (rDNA)-and rRNA-based terminal-restriction fragment length polymorphism fingerprinting in combination with cloning and sequencing to identify active members of the human armpit microbiota. DNA and RNA were isolated from skin scrub samples taken from both armpits of 10 preconditioned, healthy males. The fingerprint profiles indicated pronounced similarities between the armpit microbiota in the right and the left axillae of an individual test person, but larger differences between the axilla microbiota of different individuals. Using 16S rDNA and rRNA sequence data, the majority of peaks in the armpit profiles were assigned to bacteria affiliated with well-known genera of skin bacteria. The relative abundances of all groups were similar among the rDNA and rRNA samples, suggesting that all groups of armpit bacteria were active. Surprisingly, the relative abundance of sequences affiliated with Peptoniphilus sp. was by far and with statistical significance the highest in the rRNA samples of the right armpits. Thus, bacteria affiliated with Peptoniphilus sp. might have been particularly active in the right axillae of the test persons, possibly owing to the handedness of the test persons, which might cause different environmental conditions in the right axillae.

Aim:  To determine the microbial composition of biofilms in domestic toilets by molecular means. Methods and Results:  Genomic DNA was extracted from six biofilm samples originating from households around Düsseldorf, Germany. While no archaeal 16S rRNA or fungal ITS genes were detected by PCR, fingerprinting of bacterial 16S rRNA genes revealed a diverse community in all samples. These communities also differed considerably between the six biofilms. Using the Ribosomal Database Project (RDP) classifier tool, 275 cloned 16S rRNA gene sequences were assigned to 11 bacterial phyla and 104 bacterial genera. Only 15 genera (representing 121 sequences affiliated with Acidobacteria, Actinobacteria, Bacteroidetes, Planctomycetes and Proteobacteria) occurred in at least half of the samples or contributed at least 10% of the sequences in a single biofilm. These sequences were defined as ‘typical’ for toilet biofilms, and they were examined in more detail. On a 97% sequence similarity level, these sequences represented 56 species. Twelve of these were closely related to well‐described bacterial species, and only two of them were categorized as belonging to risk group 2. No 16S rRNA genes of typical faecal bacteria were detected in any sample. Virtually all ‘typical’ clones were found to be closely related to bacteria or to sequences obtained from environmental sources, implicating that the flushing water is the main source of recruitment. Conclusion:  In view of the great diversity of mostly yet‐uncultured bacteria and the considerable differences between individual toilets, very general strategies appear to be most suited for the removal and prevention of toilet biofilms. Significance and Impact of the Study:  For the first time, a molecular fingerprinting and cloning approach was used to monitor the species composition in biofilm samples taken from domestic toilets. Knowledge about the microbial composition of biofilms in domestic toilets is a prerequisite for developing and evaluating strategies for their removal and prevention.