The methodology used in this doctoral dissertation was already established in the pre-vious work “Taxonomische Untersuchungen des oralen Mikrobioms und dessen Beein-flussung durch Ölziehkur mittels Next-Generation Sequencing und Bioinformatik” (Grießl, 2018). This method was applied in this dissertation. Using the following evalu-ation, a summary of the average oral microbiome was acquired. The hypervariable region of the 16S rDNA was applied and analysed with NGS in order to create a re-flection of the average oral population. Further research work which doesn’t discuss the microbiome of orally healthy subjects, but patients with oral diseases, may follow in the future. By comparing said research with the already established average population significant results can be achieved. The standartised procedures discussed in the two dissertations should defi-nitely be used again in order to achieve the highest comparability possible and to elim-inate methodical errors. Here it is very important not to change the primers or the da-tabase. A total of eleven phyla with 95 different genera were detected. It could be shown that the twelve largest genera make up more than 90% of the bacteria that can be molecular detected. 44 genera can be detected at least once per sample and were thus assigned to the core microbiome, 46 genera are found occasionally and conse-quently belong to the variable part of the microbiome. The most popular diseases that would be interesting for further research are parodontitis and caries. Both are multifactorial illnesses associated with plaque. As plaque or oral biofilm primarily originates in certain oral bacteria every difference is important and interesting especially compared to orally healthy patients. How do the above data look like in the event of illness? Can the same microbial shifts be detected in different people with the same disease? What is the difference to healthy subjects? Furthermore, parameters that affected the microbiome in this dissertation should also be considered, exemplary the taking of antibiotics in particular. Right now, giving future prospects is only vaguely possible. Further research work eventually could show new ways of diagnostic or even new therapeutic methods for well-known diseases.