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The amount of data obtained by barcoding of prokaryotic 16S rDNA from natural habitats is increasing exponentially. Thus, methods enabling us to extract useful information from these data are of increasing importance. In this thesis microbial communities from water, sludge and drilling dust were analyzed by 16S rDNA sequencing in three geologically well described sedimentary aquifers in Bohemian Massif. The main goal of this research was to establish how different analytical approaches can be useful in interpretation of groundwater biogeochemical processes. Three approaches were used: First, taxonomy and metabolic traits of the most abundant microorganisms were assessed. Second, ordination methods showing metabolic and taxonomic variability between communities were used. Last the analysis of phylogenetic dissimilarity using UniFrac metrics was performed. When analyzing individual localities separately, the shift in microbial community composition corresponds with the change of environmental conditions. The unconstrained ordination method based on the variability in metabolic traits indicated, that sludge samples are more informative than water samples when asking which electron donor is used in microbial communities. On the other hand, unconstrained ordination methods were useless when the... |
